👤 Kiyoung Kim

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧪 BiometalDB 🧬 Extraction
849
Articles
999
Name variants
Also published as: Mi Ok Kim, S Y Kim, Chul-Hong Kim, Do Hyung Kim, Sydney Y Kim, Sung Young Kim, Chongtae Kim, Myung-Sunny Kim, Hyeong-Rok Kim, Miri Kim, Dong Il Kim, Hyeon-Ah Kim, Esther Kim, Ok-Hwa Kim, Juyong B Kim, Joong-Seok Kim, Jong Woo Kim, Saerom Kim, Wondong Kim, Seong-Hyun Kim, Misung Kim, Dong-Ik Kim, Minsuk Kim, Ohn Soon Kim, Sung Han Kim, Sung Tae Kim, Richard Kim, Albert H Kim, Ju Deok Kim, Chong Ae Kim, Hyun-Ji Kim, Yong Kyung Kim, Jisun Kim, Haein Kim, Jeonghan Kim, Hee Jin Kim, Minjae Kim, Hyun Kim, Kyoung Oh Kim, Jiyea Kim, Jun Hoe Kim, Joon Kim, Sunghwan Kim, Bo-Rahm Kim, Namkyoung Kim, Hee Jeong Kim, Kangjoon Kim, Younghoon Kim, Jae Geun Kim, Min Kyeong Kim, Hyeong-Taek Kim, Kevin K Kim, Soeun Kim, Sungup Kim, Jeong Su Kim, Gwang Sik Kim, Anthony S Kim, Ok Jin Kim, Jeongseop Kim, Bo-Eun Kim, Suk-Kyung Kim, Sang Soo Kim, Hae Won Kim, Taeil Kim, Joonyoung R Kim, Kyung-Hee Kim, Hyeyoon Kim, Hyojin Kim, Yangseok Kim, Jong Ho Kim, Chunki Kim, Seokjoong Kim, Mi Ra Kim, Young-Dae Kim, Young Mi Kim, Na-Kuang Kim, Yoon Sook Kim, Byoung Jae Kim, Daham Kim, Mijung Kim, Yu Kyeong Kim, Yong-Lim Kim, Jin-Chul Kim, Chan Wook Kim, Hyeong-Jin Kim, Sang Hyuk Kim, Gibae Kim, Sang Ryong Kim, Jieun Kim, Jongchan Kim, Joseph C Kim, Jun Pyo Kim, Brandon J Kim, Jun-Sik Kim, Ji Eun Kim, Jung-In Kim, Chan-Wha Kim, B-Y Kim, B T Kim, Dahee Kim, Taek-Yeong Kim, Hyunjoon Kim, Young-Saeng Kim, Hyeon Jeong Kim, Hyemin Kim, Shin Kim, Y S Kim, Dan Say Kim, Ji-Dam Kim, Paul T Kim, Kyoung Hoon Kim, Ye-Ri Kim, Hee-Jin Kim, Jason Kim, Youngsin Kim, Hyuk Soon Kim, Seung-Ki Kim, Moon Suk Kim, Young Ju Kim, Yunwoo Kim, J Y Kim, Lia Kim, Soo-Hyun Kim, Byung Jin Kim, You-Sun Kim, Youngsoo Kim, Yunkyung Kim, Meelim Kim, Kye-Seong Kim, Minseon Kim, Hye-Jin Kim, Il-Man Kim, Dong Ha Kim, Soo Yoon Kim, Stuart K Kim, Soo Hyun Kim, Il-Chan Kim, Mi-Na Kim, Yeong-Sang Kim, Eunmi Kim, Taewan Kim, Yun Seok Kim, Kyung Hee Kim, M Kim, Hyun Eun Kim, Eunkyeong Kim, Soee Kim, Young-Im Kim, So-Hee Kim, Hyeong Hoe Kim, Hee Young Kim, Eungseok Kim, Sungyun Kim, Tae-You Kim, Jong-Yeon Kim, Tae Hoon Kim, Sungrae Kim, Eun-Jin Kim, Heejin Kim, Tae Jin Kim, Ju Young Kim, Un-Kyung Kim, Jin Woo Kim, Gu-Hwan Kim, Young-Mi Kim, Dae-Kyum Kim, Tae-Min Kim, Seon-Kyu Kim, Hana Kim, Hye Ran Kim, Yuli Kim, Jung Ho Kim, Edwin H Kim, Grace Kim, Jongho Kim, Soung Jung Kim, Jinsup Kim, Dong-Kyu Kim, Su-Hyeong Kim, Kee-Tae Kim, Nam-Ho Kim, Jin Gyeom Kim, Mi Young Kim, Hyun-Sic Kim, Kyung-Sup Kim, Hyeonwoo Kim, Dong Gwang Kim, Jong-Youn Kim, Doo Yeon Kim, Jong-Il Kim, Soo Whan Kim, Kwang-Eun Kim, Jong-Won Kim, Eung-Gook Kim, Jaehoon Kim, Hyoung Kyu Kim, Hark Kyun Kim, Jonggeol J Kim, Sang Eun Kim, Jeong Kyu Kim, Eun Ji Kim, Youngmi Kim, William Kim, Jiho Kim, Dae In Kim, Dennis Y Kim, Sunghun Kim, Nari Kim, Doyeon Kim, Sang-Min Kim, Myeong-Kyu Kim, Youngsook Kim, Angela H Kim, Hye-Jung Kim, Hyung-Suk Kim, Hang-Rai Kim, Hyoun-Ah Kim, Sung-Wan Kim, Myung-Sun Kim, Mi Kyung Kim, Eun Young Kim, Jinhee Kim, Hyung-Gu Kim, Woo Sik Kim, In Suk Kim, Sung Eun Kim, Yekaterina Kim, Juyoung Kim, Hong-Hee Kim, Hye-Sung Kim, Ji Hyun Kim, Kyung Mee Kim, Sunghak Kim, Dong-Hoon Kim, Yong-Wan Kim, Seul Young Kim, Myoung Ok Kim, Jong-Seok Kim, H Kim, Minsik Kim, Sang-Young Kim, June-Bum Kim, Dong Hyun Kim, Jihoon Kim, Jaegil Kim, Tae Wan Kim, Seonggon Kim, Seongho Kim, Dong Wook Kim, Jun-Hyung Kim, Don-Kyu Kim, Kyung An Kim, Jun Suk Kim, Jung-Lye Kim, Dongkyun Kim, Sung Kyun Kim, Yerin Kim, Seung Woo Kim, Jun W Kim, Eunae Kim, Won Tae Kim, Kyung-Sub Kim, Kang Ho Kim, Chul Hwan Kim, Yong Sig Kim, Hong-Kyu Kim, Go Woon Kim, Peter K Kim, Taeeun Kim, Eunhyun Kim, Min-Sik Kim, Hyejin Kim, Chang-Yub Kim, Kyunggon Kim, Sinai Kim, Jiyeon Kim, Chong Kook Kim, Minkyung Kim, Cecilia E Kim, Jae Seon Kim, Yeon-Jeong Kim, Ha-Neui Kim, Kwan Hyun Kim, Jongwan Kim, Young Hun Kim, Nam Hee Kim, Jong Yeol Kim, Ji-Hoon Kim, Ki Tae Kim, Young-Bum Kim, Hyojung Kim, Woonhee Kim, Minjeong Kim, Sae Hun Kim, Sohee Kim, Jong-Joo Kim, Sangsoo Kim, Yong-Woon Kim, Geun-Young Kim, Jae-Jun Kim, K-K Kim, Jung-Taek Kim, Jeeyoung Kim, Min-Sun Kim, Kwang Pyo Kim, Ngoc-Thanh Kim, Chan-Duck Kim, Hyeon Ho Kim, Soo-Youl Kim, Young Tae Kim, Shi-Mun Kim, Kwang-Pyo Kim, Hee Jong Kim, Minah Kim, Taehyoun Kim, Yonghwan Kim, Won Dong Kim, Su-Jeong Kim, Eunha Kim, Min-Hyun Kim, Kyeongjin Kim, Min Kim, Sung Won Kim, Se-Wha Kim, Myeoung Su Kim, Eonmi Kim, In-Hoo Kim, Nan Young Kim, Myeong Ok Kim, Wootae Kim, In Kyoung Kim, Leen Kim, Doo Yeong Kim, Do-Hyung Kim, Dong-Hyeok Kim, Joonseok Kim, So Yeon Kim, Kwangho Kim, Seok Won Kim, Bo Ri Kim, TaeHyung Kim, Woo Jin Kim, Misun Kim, Serim Kim, Junesun Kim, Young Ree Kim, Choel Kim, Jae Hun Kim, Jin-Soo Kim, Jimi Kim, You-Jin Kim, Goun Kim, Goo-Young Kim, Jong Han Kim, Bongjun Kim, Sun-Joong Kim, Young Ho Kim, Kyung Sup Kim, Young Jin Kim, Scott Y H Kim, Chang Seong Kim, Ryung S Kim, Kellan Kim, Han Gyung Kim, Jae Hoon Kim, Jung-Ha Kim, Jaeyeon Kim, Hyung-Mi Kim, Hye-Young H Kim, Ho Shik Kim, Hwijin Kim, Kyungtae Kim, Ki Kwon Kim, Yongae Kim, Jaemi Kim, Hyun-ju Kim, Tai Kyoung Kim, Se Hyun Kim, Hyeseon Kim, Jin Cheon Kim, Hyung-Ryong Kim, Carla F Kim, Hyunki Kim, Yong-Sik Kim, Joonki Kim, Hyung-Sik Kim, Ah-Ram Kim, Deok Ryong Kim, Hyunyoung Kim, Jung Ki Kim, Yongkang Kim, Brian S Kim, Minchul Kim, Kahye Kim, Jae-Ryong Kim, Heegoo Kim, In Joo Kim, Sung-Jo Kim, Sang Chan Kim, Kyuho Kim, Sunkyu Kim, Beom-Jun Kim, Wanil Kim, Hei Sung Kim, Woojin Scott Kim, Won Jeoung Kim, Jungwoo Kim, Yejin Kim, Kyu-Kwang Kim, Yong-Soo Kim, Yong-Ou Kim, M J Kim, Yoonjung Kim, Chul Hoon Kim, Hyun-Jung Kim, Jae Hyoung Kim, Hyun Joon Kim, Hyun-Jin Kim, Ok-Kyung Kim, Kyungsook Kim, Kyungwon Kim, Jin Kim, Suji Kim, Ok-Hyeon Kim, Jung-Woong Kim, Seoyeon Kim, Kyeong-Min Kim, Sang-Hoon Kim, Hyun Gi Kim, Jooho Kim, Myung-Jin Kim, Eun-Jung Kim, Sangchul Kim, Joori Kim, Min Jung Kim, Jeeho Kim, Jihye Kim, Mi-Young Kim, Choon Ok Kim, Na Yeon Kim, Seong-Ik Kim, Jisu Kim, Dong-Hyun Kim, Myungsuk Kim, Eui Hyun Kim, Won-Tae Kim, Sung Soo Kim, Eun Kim, Hyung Min Kim, Jihyun Kim, Kwang Dong Kim, Suhyun Kim, Elizabeth H Kim, Sang-Gun Kim, Han-Kyul Kim, Yong Deuk Kim, Jong-Seo Kim, Young-Ho Kim, Yoo Ri Kim, Eiru Kim, Ji Yeon Kim, Ki Hyun Kim, Tae Hun Kim, Ae-Jung Kim, Eosu Kim, Cheorl-Ho Kim, TaeYeong Kim, Yeon-Hee Kim, Jae Suk Kim, Richard B Kim, Young-Jin Kim, Deokhoon Kim, Eung Yeop Kim, K-S Kim, Daeseung Kim, Ji Hun Kim, Mi-Sung Kim, Young Woo Kim, Taehyeung Kim, Meesun Kim, Sook Young Kim, Jaewon Kim, In Su Kim, Heebal Kim, Seungsoo Kim, Bong-Jo Kim, Seon Hwa Kim, Luke Y Kim, Jae-Ick Kim, Hwajung Kim, Jisook Kim, Jeffrey J Kim, Kyung Do Kim, Jungeun Kim, Youbin Kim, Jeong-Min Kim, Seokhwi Kim, D-W Kim, Su-Yeon Kim, Jung Hee Kim, Wook Kim, Jun-Mo Kim, Seon Hee Kim, Hong-Gi Kim, Hyun-Young Kim, Young Hwa Kim, Hyung Bum Kim, Dae-Soo Kim, Gitae Kim, Hyun-Yi Kim, Sejoong Kim, Hyungsoo Kim, Hyunmi Kim, June Soo Kim, Gyudong Kim, Rokki Kim, Yong Sook Kim, Young-Il Kim, Jinsu Kim, Woo-Yang Kim, Eunjoon Kim, Woo Kim, Jang-Hee Kim, Won Seok Kim, Seung Tea Kim, Tae Il Kim, Sung-Hou Kim, H S Kim, Suhyung Kim, Jong-Ho Kim, Jong Heon Kim, So Young Kim, Yeonsoo Kim, Jiha Kim, Young-Youn Kim, Hye Yun Kim, Arie Kim, Sun-Hee Kim, Min Wook Kim, Hyung-Jun Kim, Jae Hyun Kim, Sewoon Kim, Jin Seok Kim, Eunju Kim, Yun Hye Kim, Sun-Hong Kim, Soyeong Kim, Sowon Kim, Young Sik Kim, Mi-Hyun Kim, Byung-Gyu Kim, JongKyong Kim, Jin Young Kim, So Ree Kim, Aram Kim, Youn-Jung Kim, Joung Sug Kim, Hail Kim, Eui Jin Kim, Cheol-Su Kim, Ngoc Thanh Kim, Seong-Seop Kim, Ji-Man Kim, Ju-Kon Kim, Soo Wan Kim, Woong-Ki Kim, Ju-Wan Kim, Sunggun Kim, Sun Woong Kim, Jin Kyong Kim, Hoguen Kim, Hyungkuen Kim, Ji Hye Kim, Myoung Hee Kim, Min Ju Kim, Deok-Ho Kim, Woo-Shik Kim, Mina K Kim, Paul H Kim, Eun-Kyung Kim, Da-Sol Kim, Yeaseul Kim, In Ja Kim, Beomsu Kim, Byungwook Kim, Sun Yeou Kim, Jongmyung Kim, Helen Kim, Sungyeon Kim, Dae-Eun Kim, Jayoun Kim, Jung Dae Kim, Joseph Han Sol Kim, E-S Kim, Boo-Young Kim, Sung-Mi Kim, Dongwoo Kim, Seul-Ki Kim, Hye Jin Kim, Soo Young Kim, Sukjun Kim, Dong Joon Kim, Hyo Jung Kim, Yeseul Kim, Yong Sik Kim, Nam-Eun Kim, Sang-Tae Kim, Hong Sug Kim, Youngjoo Kim, Sun-Gyun Kim, Min-Gon Kim, Young-Woo Kim, Myungshin Kim, Tae Hoen Kim, Soon Hee Kim, Won Kim, Chanhee Kim, Jung Oh Kim, Hyun-Kyong Kim, Jeffrey Kim, Yeonhwa Kim, Yeon Ju Kim, Duck-Hee Kim, Seohyeon Kim, Soon Sun Kim, Jae Bum Kim, Yeul Hong Kim, Juhyun Kim, Chang-Gu Kim, Gwangil Kim, Alison J Kim, Hwa-Jung Kim, Youngeun Kim, Cheol-Hee Kim, NamHee Kim, Byung-Chul Kim, Cecilia Kim, S Kim, Tae-Gyu Kim, Kwan-Suk Kim, Jee Ah Kim, Kyoungtae Kim, Seong Jun Kim, Mi Jeong Kim, Myoung Sook Kim, Chu-Young Kim, Minsu Kim, Seong-Tae Kim, Donghyeon Kim, Sunoh Kim, Yu-Jin Kim, Yul-Ho Kim, Eric Kim, Jae-Young Kim, Jin Hee Kim, Tae Min Kim, Yeji Kim, Yo-Han Kim, Kyong-Tai Kim, Dae-Kyeong Kim, June Hee Kim, Tae Hyun Kim, Leo A Kim, Young S Kim, Min Bum Kim, Min Seo Kim, Seong-Jin Kim, Young-Chul Kim, Jinkyeong Kim, SooHyeon Kim, Kwangwoo Kim, Dong-Hee Kim, Sang Wun Kim, Won J Kim, Seung Won Kim, Ji-Yul Kim, Moo-Yeon Kim, Do Yeon Kim, Jun Seok Kim, Su-Jin Kim, Jewoo Kim, A Ram Kim, Hyung Hoi Kim, Song-Rae Kim, Hye-Ran Kim, Yoongeum Kim, Jeong-Han Kim, Jinsoo Kim, Steve Kim, Taeyoung Kim, Hwi Seung Kim, Hye Ree Kim, Hyeong-Geug Kim, Yu Mi Kim, J H Kim, Suk Jae Kim, Sung-Hee Kim, Na-Young Kim, Minji Kim, Jongkyu Kim, Jae-Yoon Kim, Hyunjin Kim, Helen B Kim, Dong-Yi Kim, Ji-Yun Kim, Sung Woo Kim, Ha-Jung Kim, Yongmin Kim, Han Young Kim, Hyun-Soo Kim, Hyunju Kim, Jin Man Kim, Young Nam Kim, Hye Young Kim, Sung Yeol Kim, Jong-Oh Kim, Y-D Kim, Jong-Hyun Kim, Jenny H Kim, Youngchang Kim, Okhwa Kim, Y A Kim, Won Kyung Kim, Dongjoon Kim, Myung Jin Kim, Hannah Kim, Ick Young Kim, Hyunsoo Kim, Sungjoo Kim, Seonhee Kim, Y-M Kim, Sun Hee Kim, Jung Sun Kim, Ji Young Kim, Sung-Eun Kim, Wun-Jae Kim, Hee Nam Kim, Vladimir Kim, Donghee Kim, Sang Jin Kim, Won Ho Kim, Byeong-Won Kim, Hyung-Goo Kim, J Julie Kim, Jiwon Kim, Eun-Joo Kim, Hyun Soo Kim, Tae-Hyoung Kim, Anna Kim, Gahyun Kim, Jong Hwan Kim, Borahm Kim, Caroline Kim, Andrea J Kim, Yong-Hoon Kim, Jisup Kim, Yong Kyun Kim, Young-Eun Kim, Angela Kim, Tae-Eun Kim, Ji Won Kim, Sang Geon Kim, Young-Cho Kim, Bo Young Kim, Minsoon Kim, Paul Kim, Jeongseon Kim, Tae-Mi Kim, Oc-Hee Kim, Da-Hyun Kim, Jong Geun Kim, Woo Kyung Kim, Jae-Yong Kim, Jaeuk U Kim, Kye Hyun Kim, Dae-Jin Kim, Jun Chul Kim, Dae Keun Kim, You Sun Kim, Heung-Joong Kim, Angela S Kim, Ji-Young Kim, So-Woon Kim, Dayoung Kim, Sangwoo Kim, Eric Eunshik Kim, Yeeun Kim, Jeewoo Kim, Sungmin Kim, Hyun Sil Kim, Young Hee Kim, Kyunga Kim, Donghyun Kim, Sung-Kyu Kim, Hanah Kim, Do-Kyun Kim, Jonggeol Jeffrey Kim, Min Soo Kim, Ju Han Kim, Hyung Yoon Kim, Youngchul Kim, Minhee Kim, Byung-Taek Kim, Sung-Bae Kim, Suk-Jeong Kim, Min-A Kim, Jae T Kim, Dong-Seok Kim, Min-Seon Kim, Hyoun Ju Kim, JungMin Kim, Kwonseop Kim, Kyong Min Kim, Jae-Jung Kim, Howard H Kim, Min-Seo Kim, Minjoo Kim, Sujung Kim, Woo-Kyun Kim, Yongjae Kim, Jong-Kyu Kim, Dong-il Kim, Jeri Kim, Seol-A Kim, Soriul Kim, Kil-Nam Kim, Soo-Rim Kim, Yun-Jin Kim, Yeonjung Kim, Su Jin Kim, Kyung Woo Kim, Yeon-Jung Kim, Jeong Hee Kim, Youn Shic Kim, Dong-Eun Kim, So-Yeon Kim, C H Kim, Sung-Hoon Kim, Namphil Kim, Kyung-Chang Kim, Chan-Hee Kim, Sun Hye Kim, Seulhee Kim, Joonyoung Kim, Gunhee Kim, Joungmok Kim, Seung-Whan Kim, Sang-Woo Kim, Seongmi Kim, Daegyeom Kim, Da Sol Kim, Ellen Kim, Young Rae Kim, Hee-Sun Kim, Seung Jun Kim, Kyungjin Kim, Youn-Kyung Kim, Sunghoon Kim, Jung-Hyun Kim, Young Eun Kim, Ho-Sook Kim, Hyun Ju Kim, Gyeonghun Kim, Baek Kim, Soon-Hee Kim, David E Kim, Joong Sun Kim, Hoon Seok Kim, Yunjung Kim, Keun You Kim, Min Cheol Kim, Gye Lim Kim, Dakyung Kim, Jong Won Kim, Hoon Kim, Seung-Jin Kim, Myeong Ji Kim, NamDoo Kim, Jinho Kim, Hyo Jong Kim, Young-Woong Kim, Un Gi Kim, Tae-Hyun Kim, Kee-Pyo Kim, Oh Yoen Kim, Juyeong Kim, Jun Hee Kim, Chae-Hyun Kim, Leo Kim, Eun Ho Kim, Haeryoung Kim, Seong Kim, Jessica Kim, Jin Won Kim, Hyun Sook Kim, Kyeongmi Kim, Rosalind Kim, Sujin Kim, E Kim, Nam-Hyung Kim, Sin Gon Kim, Seohyun Kim, Boram Kim, Kyeong Jin Kim, Gi Beom Kim, Jason K Kim, Hyung-Seok Kim, Dae Hyun Kim, Jina Kim, Ji-Won Kim, Eui-Soon Kim, Minkyeong Kim, M V Kim, Yumi Kim, Sunyoung Kim, Maya Kim, Mijeong Kim, Hyunbae Kim, Esl Kim, Su Kang Kim, Ju-Ryoung Kim, Bomi Kim, Kyung Han Kim, Seoyoung Kim, Ji-Eun Kim, Yoojin Kim, Minju Kim, Tae-Woon Kim, Jae Gon Kim, Hyeong Su Kim, Choon-Song Kim, Kye Hun Kim, Hyesung Kim, Yeon-Ki Kim, Jaeyoon Kim, Hyeung-Rak Kim, Kook Hwan Kim, Sung Hyun Kim, Sol Kim, Hyunwoo Kim, Min Joo Kim, Dong-Wook Kim, Young Sam Kim, Hye-Yeon Kim, Yun Joong Kim, Ki Woong Kim, Jungsu Kim, Misu Kim, Seung Chul Kim, Mi-Yeon Kim, Hyo-Soo Kim, Won Kon Kim, Sangmi Kim, Jong Deog Kim, Yun Gi Kim, Seon-Young Kim, Il-Sup Kim, Byung Guk Kim, Susy Kim, Youngwoo Kim, Min-Young Kim, Jae-Min Kim, Yong Sung Kim, Young-Won Kim, Jung H Kim, Eun Hee Kim, Yong Kwan Kim, Haelee Kim, Daesik Kim, Woo-Jin Kim, Gukhan Kim, Hyungjun Kim, Young-Hoon Kim, Jong-Ki Kim, Byron Kim, Taek-Kyun Kim, Bo-Ra Kim, Dokyoon Kim, Min Chul Kim, Miso Kim, Seong-Min Kim, Jang Heub Kim, Hyeyoung Kim, Hyunwook Kim, Hee Su Kim, Young-Joo Kim, Reuben H Kim, Hong-Kook Kim, Soo Jung Kim, Sungryong Kim, Taejung Kim, Jung Soo Kim, Kyoung Hwan Kim, Sung Mok Kim, Daeeun Kim, Hyelim Kim, Beomsoo Kim, Ji-Woon Kim
articles
Oksung Chung, Ye-Eun Jung, Kyeong Won Lee +10 more · 2022 · Biochemical genetics · Springer · added 2026-04-24
Viruses are the most common and abundant organisms in the marine environment. To better understand how cetaceans have adapted to this virus-rich environment, we compared cetacean virus-responsive gene Show more
Viruses are the most common and abundant organisms in the marine environment. To better understand how cetaceans have adapted to this virus-rich environment, we compared cetacean virus-responsive genes to those from terrestrial mammals. We identified virus-responsive gene sequences in seven species of cetaceans, which we compared with orthologous sequences in seven terrestrial mammals. As a result of evolution analysis using the branch model and the branch-site model, 21 genes were selected using at least one model. IFN-ε, an antiviral cytokine expressed at mucous membranes, and its receptor IFNAR1 contain cetacean-specific amino acid substitutions that might change the interaction between the two proteins and lead to regulation of the immune system against viruses. Cetacean-specific amino acid substitutions in IL-6, IL-27, and the signal transducer and activator of transcription (STAT)1 are also predicted to alter the mucosal immune response of cetaceans. Since mucosal membranes are the first line of defense against the external environment and are involved in immune tolerance, our analysis of cetacean virus-responsive genes suggests that genes with cetacean-specific mutations in mucosal immunity-related genes play an important role in the protection and/or regulation of immune responses against viruses. Show less
📄 PDF DOI: 10.1007/s10528-022-10221-8
IL27
Yong-Jin Kwon, Eun-Bi Seo, Seul-Ki Kim +8 more · 2022 · Journal of ethnopharmacology · Elsevier · added 2026-04-24
Chamaecyparis obtusa (Siebold & Zucc.) Endl. (C. obtusa) has been used as folk medicine in East Asia and has been reported to alleviate inflammatory diseases. However, the detailed mechanisms for the Show more
Chamaecyparis obtusa (Siebold & Zucc.) Endl. (C. obtusa) has been used as folk medicine in East Asia and has been reported to alleviate inflammatory diseases. However, the detailed mechanisms for the anti-inflammatory effects of C. obtusa remain unclear. Although the anti-inflammatory mechanisms of natural products have been studied for decades, it is still important to identify the potential anti-inflammatory effects of natural sources. In this study, we investigated the anti-inflammatory effects and underlying mechanism of C. obtusa leaf extracts. The cell viability was determined by MTT and crystal violet staining. NO production in the supernatant was measured using Griess reagent. The cell lysates were analyzed by immunoblotting and RT-qPCR. Secreted cytokines were analyzed using ELISA kit and cytokine array kit. mRNA expression from the GSE9632 database set. Z-scores were calculated for each gene and visualized by heat map. Among the extracts of C. obtusa obtained with different extraction methods, the 99% ethanol leaf extract (CO99EL) strongly inhibited lipopolysaccharide (LPS)-induced inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) expression and Janus kinase/signaling transducer and activator of transcription (JAK/STAT) phosphorylation in RAW264.7 cells. In addition, CO99EL strongly inhibited LPS-induced interleukin (IL)-1β, IL-6, IL-27, and C-C motif chemokine ligand (CCL)-1 production and directly inhibited LPS-induced JAK/STAT phosphorylation in RAW264.7 cells. These findings demonstrate that CO99EL significantly prevents LPS-induced macrophage activation by inhibiting the JAK/STAT axis. Therefore, we suggest the use of C. obtusa extracts as therapeutic approach for inflammatory diseases. Show less
no PDF DOI: 10.1016/j.jep.2021.114493
IL27
Thomas James L Ford, Byeong Tak Jeon, Hyunkyoung Lee +1 more · 2022 · Frontiers in molecular neuroscience · Frontiers · added 2026-04-24
Formation of dendritic spine and synapse is an essential final step of brain wiring to establish functional communication in the developing brain. Recent findings have displayed altered dendritic spin Show more
Formation of dendritic spine and synapse is an essential final step of brain wiring to establish functional communication in the developing brain. Recent findings have displayed altered dendritic spine and synapse morphogenesis, plasticity, and related molecular mechanisms in animal models and post-mortem human brains of autism spectrum disorders (ASD) and intellectual disability (ID). Many genes and proteins are shown to be associated with spines and synapse development, and therefore neurodevelopmental disorders. In this review, however, particular attention will be given to chromatin modifiers such as AT-Rich Interactive Domain 1B (ARID1B), KAT8 regulatory non-specific lethal (NSL) complex subunit 1 (KANSL1), and WD Repeat Domain 5 (WDR5) which are among strong susceptibility factors for ASD and ID. Emerging evidence highlights the critical status of these chromatin remodeling molecules in dendritic spine morphogenesis and synaptic functions. Molecular and cellular insights of ARID1B, KANSL1, and WDR5 will integrate into our current knowledge in understanding and interpreting the pathogenesis of ASD and ID. Modulation of their activities or levels may be an option for potential therapeutic treatment strategies for these neurodevelopmental conditions. Show less
📄 PDF DOI: 10.3389/fnmol.2022.1048713
KANSL1
Jordi Merino, Hassan S Dashti, Chloé Sarnowski +17 more · 2022 · Nature human behaviour · Nature · added 2026-04-24
Dietary intake is a major contributor to the global obesity epidemic and represents a complex behavioural phenotype that is partially affected by innate biological differences. Here, we present a mult Show more
Dietary intake is a major contributor to the global obesity epidemic and represents a complex behavioural phenotype that is partially affected by innate biological differences. Here, we present a multivariate genome-wide association analysis of overall variation in dietary intake to account for the correlation between dietary carbohydrate, fat and protein in 282,271 participants of European ancestry from the UK Biobank (n = 191,157) and Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 91,114), and identify 26 distinct genome-wide significant loci. Dietary intake signals map exclusively to specific brain regions and are enriched for genes expressed in specialized subtypes of GABAergic, dopaminergic and glutamatergic neurons. We identified two main clusters of genetic variants for overall variation in dietary intake that were differently associated with obesity and coronary artery disease. These results enhance the biological understanding of interindividual differences in dietary intake by highlighting neural mechanisms, supporting functional follow-up experiments and possibly providing new avenues for the prevention and treatment of prevalent complex metabolic diseases. Show less
📄 PDF DOI: 10.1038/s41562-021-01182-w
KANSL1
Rany Vorn, Katie A Edwards, James Hentig +13 more · 2022 · Biomedicines · MDPI · added 2026-04-24
Repetitive low-level blast exposure is one of the major occupational health concerns among US military service members and law enforcement. This study seeks to identify gene expression using microRNA Show more
Repetitive low-level blast exposure is one of the major occupational health concerns among US military service members and law enforcement. This study seeks to identify gene expression using microRNA and RNA sequencing in whole-blood samples from experienced breachers and unexposed controls. We performed experimental RNA sequencing using Illumina’s HiSeq 2500 Sequencing System, and microRNA analysis using NanoString Technology nCounter miRNA expression panel in whole-blood total RNA samples from 15 experienced breachers and 14 age-, sex-, and race-matched unexposed controls. We identified 10 significantly dysregulated genes between experienced breachers and unexposed controls, with FDR corrected <0.05: One upregulated gene, LINC00996 (long intergenic non-protein coding RNA 996); and nine downregulated genes, IGLV3-16 (immunoglobulin lambda variable 3-16), CD200 (CD200 molecule), LILRB5 (leukocyte immunoglobulin-like receptor B5), ZNF667-AS1 (ZNF667 antisense RNA 1), LMOD1 (leiomodin 1), CNTNAP2 (contactin-associated protein 2), EVPL (envoplakin), DPF3 (double PHD fingers 3), and IGHV4-34 (immunoglobulin heavy variable 4-34). The dysregulated gene expressions reported here have been associated with chronic inflammation and immune response, suggesting that these pathways may relate to the risk of lasting neurological symptoms following high exposures to blast over a career. Show less
📄 PDF DOI: 10.3390/biomedicines10030690
LMOD1
Minhan Ka, Jeffrey J Moffat, Woo-Yang Kim · 2022 · Cellular and molecular neurobiology · Springer · added 2026-04-24
1p34.2p34.3 deletion syndrome is characterized by an increased risk for autism. Microtubule Actin Crosslinking Factor 1 (MACF1) is one candidate gene for this syndrome. It is unclear, however, how MAC Show more
1p34.2p34.3 deletion syndrome is characterized by an increased risk for autism. Microtubule Actin Crosslinking Factor 1 (MACF1) is one candidate gene for this syndrome. It is unclear, however, how MACF1 deletion is linked to brain development and neurodevelopmental deficits. Here we report on Macf1 deletion in the developing mouse cerebral cortex, focusing on radial glia polarity and morphological integrity, as these are critical factors in brain formation. We found that deleting Macf1 during cortical development resulted in double cortex/subcortical band heterotopia as well as disrupted cortical lamination. Macf1-deleted radial progenitors showed increased proliferation rates compared to control cells but failed to remain confined within their defined proliferation zone in the developing brain. The overproliferation of Macf1-deleted radial progenitors was associated with elevated cell cycle speed and re-entry. Microtubule stability and actin polymerization along the apical ventricular area were decreased in the Macf1 mutant cortex. Correspondingly, there was a disconnection between radial glial fibers and the apical and pial surfaces. Finally, we observed that Macf1-mutant mice exhibited social deficits and aberrant emotional behaviors. Together, these results suggest that MACF1 plays a critical role in cortical progenitor proliferation and localization by promoting glial fiber stabilization and polarization. Our findings may provide insights into the pathogenic mechanism underlying the 1p34.2p34.3 deletion syndrome. Show less
no PDF DOI: 10.1007/s10571-021-01088-1
MACF1
Yu Jiang, Travis J Meyers, Adaeze A Emeka +94 more · 2022 · HGG advances · Elsevier · added 2026-04-24
Yu Jiang, Travis J Meyers, Adaeze A Emeka, Lauren Folgosa Cooley, Phillip R Cooper, Nicola Lancki, Irene Helenowski, Linda Kachuri, Daniel W Lin, Janet L Stanford, Lisa F Newcomb, Suzanne Kolb, Antonio Finelli, Neil E Fleshner, Maria Komisarenko, James A Eastham, Behfar Ehdaie, Nicole Benfante, Christopher J Logothetis, Justin R Gregg, Cherie A Perez, Sergio Garza, Jeri Kim, Leonard S Marks, Merdie Delfin, Danielle Barsa, Danny Vesprini, Laurence H Klotz, Andrew Loblaw, Alexandre Mamedov, S Larry Goldenberg, Celestia S Higano, Maria Spillane, Eugenia Wu, H Ballentine Carter, Christian P Pavlovich, Mufaddal Mamawala, Tricia Landis, Peter R Carroll, June M Chan, Matthew R Cooperberg, Janet E Cowan, Todd M Morgan, Javed Siddiqui, Rabia Martin, Eric A Klein, Karen Brittain, Paige Gotwald, Daniel A Barocas, Jeremiah R Dallmer, Jennifer B Gordetsky, Pam Steele, Shilajit D Kundu, Jazmine Stockdale, Monique J Roobol, Lionne D F Venderbos, Martin G Sanda, Rebecca Arnold, Dattatraya Patil, Christopher P Evans, Marc A Dall'Era, Anjali Vij, Anthony J Costello, Ken Chow, Niall M Corcoran, Soroush Rais-Bahrami, Courtney Phares, Douglas S Scherr, Thomas Flynn, R Jeffrey Karnes, Michael Koch, Courtney Rose Dhondt, Joel B Nelson, Dawn McBride, Michael S Cookson, Kelly L Stratton, Stephen Farriester, Erin Hemken, Walter M Stadler, Tuula Pera, Deimante Banionyte, Fernando J Bianco, Isabel H Lopez, Stacy Loeb, Samir S Taneja, Nataliya Byrne, Christopher L Amling, Ann Martinez, Luc Boileau, Franklin D Gaylis, Jacqueline Petkewicz, Nicholas Kirwen, Brian T Helfand, Jianfeng Xu, Denise M Scholtens, William J Catalona, John S Witte Show less
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prosta Show more
Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment. PC is one of the most heritable cancers, and genetic factors that predispose to aggressive tumors may help distinguish men who are more likely to discontinue AS. To investigate this, we undertook a multi-institutional genome-wide association study (GWAS) of 5,222 PC patients and 1,139 other patients from replication cohorts, all of whom initially elected AS and were followed over time for the potential outcome of conversion from AS to active treatment. In the GWAS we detected 18 variants associated with conversion, 15 of which were not previously associated with PC risk. With a transcriptome-wide association study (TWAS), we found two genes associated with conversion ( Show less
📄 PDF DOI: 10.1016/j.xhgg.2021.100070
MAST3
Hyundeok Kang, Mi-Kyoung Seo, BeumJin Park +4 more · 2022 · Translational oncology · Elsevier · added 2026-04-24
Characterizing the tumor microenvironment (TME) and immune landscape of cancer has been a promising step towards discovering new therapeutic biomarkers and guiding precision medicine; however, its app Show more
Characterizing the tumor microenvironment (TME) and immune landscape of cancer has been a promising step towards discovering new therapeutic biomarkers and guiding precision medicine; however, its application in mucoepidermoid carcinoma (MEC) has been sparse. Here, we conducted a comprehensive study to understand the properties of the TME and immune profiles of MEC. 20 patients with MEC were collected from Yonsei Head and Neck Cancer Centre, Yonsei University, South Korea. Total RNA sequencing was conducted to determine gene expression profiles. Bioinformatic and immunoinformatic analyses were applied to characterize the TME and identify immunophenotypic subgroups, and to investigate the molecular features that explain the distinct phenotypes. The MEC samples were subdivided into two groups, immune hot and immune cold, based on the heterogenous immune cell-infiltration and activation level. The immune-hot subgroup exhibited a higher level of immune activity, including T cell infiltration, cytolytic score, IFN-γ, antigen-presenting machinery, and immune modulator genes. Further characterizing molecular features of two subgroups, downregulation of lipid metabolic regulators, including MLXIPL and FASN, and the migration of chemokines and leukocytes were observed, respectively. And, Group-specific expression of immune checkpoint molecules, such as TIGIT, PD-L2, and CTLA-4, was observed in the immune-hot group, which can be exploited as a potential immunotherapeutic biomarker. Immunophenotypically heterogeneous MEC subgroups analysis has shown distinctive molecular characteristics and provided potential treatment options. These findings yield new insights into TME of MEC and may help next step to study this uncharted cancer. Show less
📄 PDF DOI: 10.1016/j.tranon.2022.101496
MLXIPL
Donghee Kim, Ga-Young Nam, Eunhui Seo +1 more · 2022 · Journal of biomedical science · BioMed Central · added 2026-04-24
Mesangial cell fibrosis, a typical symptom of diabetic nephropathy (DN), is a major contributor to glomerulosclerosis. We previously reported that the pharmacological blockade of lysophosphatidic acid Show more
Mesangial cell fibrosis, a typical symptom of diabetic nephropathy (DN), is a major contributor to glomerulosclerosis. We previously reported that the pharmacological blockade of lysophosphatidic acid (LPA) signaling improves DN. Although LPA signaling is implicated in diabetic renal fibrosis, the underlying molecular mechanisms remain unclear. Here, the role of carbohydrate-responsive element-binding protein (ChREBP) in LPA-induced renal fibrosis and the underlying mechanisms were investigated. Eight-week-old wild-type and db/db mice were intraperitoneally injected with the vehicle or an LPAR1/3 antagonist, ki16425 (10 mg/kg), for 8 weeks on a daily basis, following which the mice were sacrificed and renal protein expression was analyzed. SV40 MES13 cells were treated with LPA in the presence or absence of ki16425, and the expression of ChREBP and fibrotic factors, including fibronectin, TGF-β, and IL-1β, was examined. The role of ChREBP in the LPA-induced fibrotic response was investigated by ChREBP overexpression or knockdown. The involvement of Smad ubiquitination regulatory factor-2 (Smurf2), an E3 ligase, in LPA-induced expression of ChREBP and fibrotic factors was investigated by Smurf2 overexpression or knockdown. To identify signaling molecules regulating Smurf2 expression by LPA, pharmacological inhibitors such as A6370 (Akt1/2 kinase inhibitor) and Ly 294002 (PI3K inhibitor) were used. The renal expression of ChREBP increased in diabetic db/db mice, and was reduced following treatment with the ki16425. Treatment with LPA induced the expression of ChREBP and fibrotic factors, including fibronectin, TGF-β, and IL-1β, in SV40 MES13 cells, which were positively correlated. The LPA-induced expression of fibrotic factors increased or decreased following ChREBP overexpression and knockdown, respectively. The production of reactive oxygen species (ROS) mediated the LPA-induced expression of ChREBP and fibrotic factors, and LPA decreased Smurf2 expression via Traf4-mediated ubiquitination. The LPA-induced expression of ubiquitinated-ChREBP increased or decreased following Smurf2 overexpression and knockdown, respectively. Additionally, Smurf2 knockdown significantly increased the expression of ChREBP and fibrotic factors. The pharmacological inhibition of Akt signaling suppressed the LPA-induced alterations in the expression of ChREBP and Smurf2. Collectively, the results demonstrated that the ROS/Akt-dependent downregulation of Smurf2 and the subsequent increase in ChREBP expression might be one of the mechanisms by which LPA induces mesangial cell fibrosis in DN. Show less
📄 PDF DOI: 10.1186/s12929-022-00814-1
MLXIPL
Jin Sung Park, Yunkyung Kim, Jihun Kang · 2022 · Journal of human genetics · Nature · added 2026-04-24
The serum uric acid (SUA) level is an important determinant of gout, hypertension, metabolic syndrome, and cardiovascular disease. Although previous genome-wide studies have identified multiple geneti Show more
The serum uric acid (SUA) level is an important determinant of gout, hypertension, metabolic syndrome, and cardiovascular disease. Although previous genome-wide studies have identified multiple genetic variants associated with SUA, most genetic analyses have focused on individuals with European ancestry; thus, understanding of the genetic architecture of SUA is currently limited for Asian populations. We conducted a genome-wide meta-analysis based on Korea Biobank data consistent with three cohorts; namely, the Korean Genome and Epidemiology Study (KoGES) Ansan and Ansung, KoGES Health Examinee, and KoGES Cardiovascular Disease Association studies. In total, 60,585 participants aged ≥40 years were included in the analysis of the three cohorts. We used logistic regression analyses to perform genome-wide association study (GWAS) adjustments for confounding variables. Subsequently, a meta-analysis was conducted by combining the analyses of the three GWASs. We identified 8,105 variants at 22 genetic loci with a P value < 5 × 10 Show less
📄 PDF DOI: 10.1038/s10038-021-00991-1
MLXIPL
Daham Kim, Juyeon Yu, Jiwon Kim +7 more · 2022 · Frontiers in oncology · Frontiers · added 2026-04-24
Improved molecular testing for common somatic mutations and the identification of mRNA and microRNA expression classifiers are promising approaches for the diagnosis of thyroid nodules. However, there Show more
Improved molecular testing for common somatic mutations and the identification of mRNA and microRNA expression classifiers are promising approaches for the diagnosis of thyroid nodules. However, there is a need to improve the diagnostic accuracy of such tests for identifying thyroid cancer. Recent findings have revealed a crucial role of long non-coding RNAs (lncRNAs) in gene modulation. Thus, we aimed to evaluate the diagnostic value of selected lncRNAs from The Atlas of Noncoding RNAs in Cancer (TANRIC) thyroid cancer dataset. LncRNAs in TANRIC thyroid cancer dataset that have significantly increased or decreased expression in papillary thyroid cancer (PTC) tissues were selected as candidates for PTC diagnosis. Surgical specimens from patients who underwent thyroidectomy were used to determine the separation capability of candidate lncRNAs between malignant and benign nodules. Fine needle aspiration samples were obtained and screened for candidate lncRNAs to verify their diagnostic value. LRRC52-AS1, LINC02471, LINC02082, UNC5B-AS1, LINC02408, MPPED2-AS1, LNCNEF, LOC642484, ATP6V0E2-AS1, and LOC100129129 were selected as the candidate lncRNAs. LRRC52-AS1, LINC02082, UNC5B-AS1, MPPED2-AS1, LNCNEF, and LOC100129129 expression levels were significantly increased or decreased in malignant nodules compared to those in benign nodules and paired normal thyroid tissues. The combination of LRRC52-AS1, LINC02082, and UNC5B-AS1 showed favorable results for the diagnosis of PTC from fine needle aspirates, with 88.9% sensitivity and 100.0% specificity. LncRNA expression analysis is a promising approach for advancing the molecular diagnosis of PTC. Further studies are needed to identify lncRNAs of additional diagnostic value. Show less
📄 PDF DOI: 10.3389/fonc.2022.924409
MPPED2
Leonie M Kurzlechner, Edward G Jones, Amy M Berkman +7 more · 2022 · Journal of personalized medicine · MDPI · added 2026-04-24
Background: Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopathy and can predispose individuals to sudden death. Most pediatric HCM patients host a known pathogenic variant in Show more
Background: Hypertrophic cardiomyopathy (HCM) is the most common heritable cardiomyopathy and can predispose individuals to sudden death. Most pediatric HCM patients host a known pathogenic variant in a sarcomeric gene. With the increase in exome sequencing (ES) in clinical settings, incidental variants in HCM-associated genes are being identified more frequently. Diagnostic interpretation of incidental variants is crucial to enhance clinical patient management. We sought to use amino acid-level signal-to-noise (S:N) analysis to establish pathogenic hotspots in sarcomeric HCM-associated genes as well as to refine the 2015 American College of Medical Genetics (ACMG) criteria to predict incidental variant pathogenicity. Methods and Results: Incidental variants in HCM genes (MYBPC3, MYH7, MYL2, MYL3, ACTC1, TPM1, TNNT2, TNNI3, and TNNC1) were obtained from a clinical ES referral database (Baylor Genetics) and compared to rare population variants (gnomAD) and variants from HCM literature cohort studies. A subset of the ES cohort was clinically evaluated at Texas Children’s Hospital. We compared the frequency of ES and HCM variants at specific amino acid locations in coding regions to rare variants (MAF < 0.0001) in gnomAD. S:N ratios were calculated at the gene- and amino acid-level to identify pathogenic hotspots. ES cohort variants were re-classified using ACMG criteria with S:N analysis as a correlate for PM1 criteria, which reduced the burden of variants of uncertain significance. In the clinical validation cohort, the majority of probands with cardiomyopathy or family history hosted likely pathogenic or pathogenic variants. Conclusions: Incidental variants in HCM-associated genes were common among clinical ES referrals, although the majority were not disease-associated. Leveraging amino acid-level S:N as a clinical tool may improve the diagnostic discriminatory ability of ACMG criteria by identifying pathogenic hotspots. Show less
📄 PDF DOI: 10.3390/jpm12050733
MYBPC3
Jee-Eun Lee, Nari Kim, Minkyo Jung +2 more · 2022 · Autophagy · Taylor & Francis · added 2026-04-24
ATG2: autophagy related 2; BECN1: beclin 1; COPII: coat protein II; DMSO: dimethyl sulfoxide; EBSS: Earle's balanced salt solution; EGFP: enhanced green fluorescent protein; ER: endoplasmic reticulum; Show more
ATG2: autophagy related 2; BECN1: beclin 1; COPII: coat protein II; DMSO: dimethyl sulfoxide; EBSS: Earle's balanced salt solution; EGFP: enhanced green fluorescent protein; ER: endoplasmic reticulum; ERES: ER exit site(s); GFP: green fluorescent protein; H89: H-89 dihydrochloride hydrate; LAMP1: lysosomal-associated membrane protein 1; MAP1LC3/LC3: microtubule-associated protein 1 light chain 3; MTORC1: mechanistic target of rapamycin kinase complex 1; NS5A: nonstructural protein 5A; PIK3C3/VPS34: phosphatidylinositol 3-kinase catalytic subunit type 3; PLA: proximity ligation assay; PtdIns3P: phosphatidylionositol-3-phosphate; RB1CC1/FIP200: RB1 inducible coiled-coil 1; RFP: red fluorescent protein; RPS6KB1/S6K: ribosomal protein S6 kinase B1; SBP: streptavidin binding protein; SEC16A: SEC16 homolog A, endoplasmic reticulum export factor; SEC31A: SEC31 homolog A, COPII coat complex component; siRNA: small interfering RNA; Str: streptavidin; ULK1: unc-51-like autophagy activating kinase 1; VSVG: vesicular stomatitis virus glycoprotein; WIPI2: WD repeat domain, phosphoinositide interacting 2; WT: wild type. Show less
no PDF DOI: 10.1080/15548627.2021.1994297
PIK3C3
Bing-Ru Yan, Taoyingnan Li, Etienne Coyaud +6 more · 2022 · Autophagy · Taylor & Francis · added 2026-04-24
Depolarized mitochondria can be degraded via mitophagy, a selective form of autophagy. The RAB GTPase RAB7A was recently shown to play a key role in this process. RAB7A regulates late endocytic traffi Show more
Depolarized mitochondria can be degraded via mitophagy, a selective form of autophagy. The RAB GTPase RAB7A was recently shown to play a key role in this process. RAB7A regulates late endocytic trafficking under normal growth conditions but is translocated to the mitochondrial surface following depolarization. However, how RAB7A activity is regulated during mitophagy is not understood. Here, using a proximity-dependent biotinylation approach (miniTurbo), we identified C5orf51 as a specific interactor of GDP-locked RAB7A. C5orf51 also interacts with the RAB7A guanine nucleotide exchange factor (GEF) complex members MON1 and CCZ1. In the absence of C5orf51, localization of RAB7A on depolarized mitochondria is compromised and the protein is degraded by the proteasome. Furthermore, depletion of C5orf51 also inhibited ATG9A recruitment to depolarized mitochondria. Together, these results indicate that C5orf51 is a positive regulator of RAB7A in its shuttling between late endosomes and mitochondria to enable mitophagy. Show less
no PDF DOI: 10.1080/15548627.2021.1960116
RMC1
Jeong Eun Yoo, Ji Hae Nahm, Young-Joo Kim +2 more · 2022 · Journal of liver cancer · added 2026-04-24
Transforming growth factor-beta (TGF-β) has a dichotomous role, functioning as a tumor suppressor and tumor promoter. TGF-β signatures, explored in mouse hepatocytes, have been reported to predict the Show more
Transforming growth factor-beta (TGF-β) has a dichotomous role, functioning as a tumor suppressor and tumor promoter. TGF-β signatures, explored in mouse hepatocytes, have been reported to predict the clinical outcomes of hepatocellular carcinoma (HCC) patients; HCCs exhibiting early TGF-β signatures showed a better prognosis than those with late TGF-β signatures. The expression status of early and late TGF-β signatures remains unclear in defined lesions of human B-viral multistep hepatocarcinogenesis. The expression of TGF-β signatures, early and late responsive signatures of TGF-β were investigated and analyzed for their correlation in cirrhosis, low-grade dysplastic nodules (DNs), high-grade DNs, early HCCs and progressed HCCs (pHCCs) by real-time PCR and immunohistochemistry. The expression levels of TGF-β signaling genes ( The enrichment of the late responsive signatures of TGF-β with induction of stemness is considered to be involved in the progression of the late stage of multistep hepatocarcinogenesis, whereas the early responsive signatures of TGF-β are suggested to have tumor-suppressive roles in precancerous lesions of the early stage of multistep hepatocarcinogenesis. Show less
no PDF DOI: 10.17998/jlc.2022.04.20
SNAI1
Jin Seok Hwang, Trang Huyen Lai, Mahmoud Ahmed +4 more · 2022 · Cancers · MDPI · added 2026-04-24
Metastasis is associated with poor prognosis and is the major cause of death in cancer patients. The epithelial to mesenchymal transition (EMT) is essential for cancer cells to acquire a highly migrat Show more
Metastasis is associated with poor prognosis and is the major cause of death in cancer patients. The epithelial to mesenchymal transition (EMT) is essential for cancer cells to acquire a highly migratory phenotype. Metabolic reprogramming is required to meet the energy demands during this process. Recent studies have indicated that autophagy is involved in EMT, during which cancer cells depend on autophagy activation for survival. However, accumulating evidence indicates that autophagy's involvement in cancer is context-dependent, acting as either promoter or inhibitor. In this study, we investigated the role of autophagy in supplying energy to support EMT. We induced EMT in Non-small cell lung cancer A549 cells using TGF-β1 with and without autophagy inhibition. Suppression of autophagy activity by knocking down of Show less
no PDF DOI: 10.3390/cancers14194845
SNAI1
Hai Duc Nguyen, Min-Sun Kim · 2022 · Journal of affective disorders · Elsevier · added 2026-04-24
We aim to identify the molecular mechanisms for curcumin's anti-depressant properties, including genes, transcription factors, and miRNAs. The Comparative Toxicogenomics Database, GeneMania, Metascape Show more
We aim to identify the molecular mechanisms for curcumin's anti-depressant properties, including genes, transcription factors, and miRNAs. The Comparative Toxicogenomics Database, GeneMania, Metascape, MIENTURNET, and Cytoscape software were used as important data approaches in this study. Curcumin may have an anti-depressant effect via the relevant genes: ADORA2A, ALB, BDNF, FGF2, GLO1, GSK3B, IL6, MIF, NOS1, PTGS2, RELN, SELP, SOD1, and NR3C1. Co-expression (50.7 %) and physical interactions (28.7 %) were the primary relationships discovered by gene network analysis. The key pathways involved in curcumin's protective function against depression were "spinal cord injury", "regulation of apoptotic signaling pathway", "positive regulation of protein phosphorylation", "folate metabolism", "neuroinflammation and glutamatergic signaling", and "inflammation response". We also observed 74 miRNAs associated with depression that are targeted by curcumin, with hsa-miR-146a-5p having the greatest expression and interaction. PLSCR1, SNAI1, ZNF267, ATF3, and GTF2B were the most important transcription factors that regulated four curcumin-targeted genes. Curcumin's physicochemical characteristics and pharmacokinetics are consistent with its antidepressant effects due to its high gastrointestinal absorption, which did not remove it from the CNS, and its ability to penetrate the blood-brain barrier. Curcumin also inhibits CYP1A9 and CYP3A4. A toxicogenomic design in silico was applied. Our findings suggest that therapy optimization and further research into curcumin's pharmacological properties are required before it may be utilized to treat depression. Show less
no PDF DOI: 10.1016/j.jad.2022.09.108
SNAI1
D Brian Foster, Jin-Mo Gu, Elizabeth H Kim +4 more · 2022 · Journal of proteome research · ACS Publications · added 2026-04-24
Previously, we reported that heterologous expression of an embryonic transcription factor, Tbx18, reprograms ventricular cardiomyocytes into induced pacemaker cells (Tbx18-iPMs), though the key pathwa Show more
Previously, we reported that heterologous expression of an embryonic transcription factor, Tbx18, reprograms ventricular cardiomyocytes into induced pacemaker cells (Tbx18-iPMs), though the key pathways are unknown. Here, we have used a tandem mass tag proteomic approach to characterize the impact of Tbx18 on neonatal rat ventricular myocytes. Tbx18 expression triggered vast proteome remodeling. Tbx18-iPMs exhibited increased expression of known pacemaker ion channels, including Hcn4 and Cx45 as well as upregulation of the mechanosensitive ion channels Piezo1, Trpp2 (PKD2), and TrpM7. Metabolic pathways were broadly downregulated, as were ion channels associated with ventricular excitation-contraction coupling. Tbx18-iPMs also exhibited extensive intracellular cytoskeletal and extracellular matrix remodeling, including 96 differentially expressed proteins associated with the epithelial-to-mesenchymal transition (EMT). RNAseq extended coverage of low abundance transcription factors, revealing upregulation of EMT-inducing Snai1, Snai2, Twist1, Twist2, and Zeb2. Finally, network diffusion mapping of >200 transcriptional regulators indicates EMT and heart development factors occupy adjacent network neighborhoods downstream of Tbx18 but upstream of metabolic control factors. In conclusion, transdifferentiation of cardiac myocytes into pacemaker cells entails massive electrogenic, metabolic, and cytostructural remodeling. Structural changes exhibit hallmarks of the EMT. The results aid ongoing efforts to maximize the yield and phenotypic stability of engineered biological pacemakers. Show less
no PDF DOI: 10.1021/acs.jproteome.2c00133
SNAI1
Ragini Vittal, Amanda J Fisher, Eric L Thompson +9 more · 2022 · American journal of respiratory cell and molecular biology · added 2026-04-24
CD55 or decay accelerating factor (DAF), a ubiquitously expressed glycosylphosphatidylinositol (GPI)-anchored protein, confers a protective threshold against complement dysregulation which is linked t Show more
CD55 or decay accelerating factor (DAF), a ubiquitously expressed glycosylphosphatidylinositol (GPI)-anchored protein, confers a protective threshold against complement dysregulation which is linked to the pathogenesis of idiopathic pulmonary fibrosis (IPF). Since lung fibrosis is associated with downregulation of DAF, we hypothesize that overexpression of DAF in fibrosed lungs will limit fibrotic injury by restraining complement dysregulation. Normal primary human alveolar type II epithelial cells (AECs) exposed to exogenous complement 3a or 5a, and primary AECs purified from IPF lungs demonstrated decreased membrane-bound DAF expression with concurrent increase in the endoplasmic reticulum (ER) stress protein, ATF6. Increased loss of extracellular cleaved DAF fragments was detected in normal human AECs exposed to complement 3a or 5a, and in lungs of IPF patients. C3a-induced ATF6 expression and DAF loss was inhibited using pertussis toxin (an enzymatic inactivator of G-protein coupled receptors), in murine AECs. Treatment with soluble DAF abrogated tunicamycin-induced C3a secretion and ER stress (ATF6 and BiP expression) and restored epithelial cadherin. Bleomycin-injured fibrotic mice subjected to lentiviral overexpression of DAF demonstrated diminished levels of local collagen deposition and complement activation. Further analyses showed diminished release of DAF fragments, as well as reduction in apoptosis (TUNEL and caspase 3/7 activity), and ER stress-related transcripts. Loss-of-function studies using Show less
no PDF DOI: 10.1165/rcmb.2021-0463OC
SNAI1
Sahib Zada, Jin Seok Hwang, Trang Huyen Lai +5 more · 2022 · Cell & bioscience · BioMed Central · added 2026-04-24
Autophagy controls levels of cellular components during normal and stress conditions; thus, it is a pivotal process for the maintenance of cell homeostasis. In cancer, autophagy protects cells from ca Show more
Autophagy controls levels of cellular components during normal and stress conditions; thus, it is a pivotal process for the maintenance of cell homeostasis. In cancer, autophagy protects cells from cancerous transformations that can result from genomic instability induced by reactive oxygen species or other damaged components, but it can also promote cancer survival by providing essential nutrients during the metabolic stress condition of cancer progression. However, the molecular mechanism underlying autophagy-dependent regulation of the epithelial to mesenchymal transition (EMT) and metastasis is still elusive. The intracellular level of NOTCH1 intracellular domain (NICD) in several cancer cells was studied under starvation, treatment with chloroquine or ATG7-knockdown. The autophagy activity in these cells was assessed by immunocytochemistry and molecular analyses. Cancer cell migration and invasion under modulation of autophagy were determined by in vitro scratch and Matrigel assays. In the study, autophagy activation stimulated degradation of NICD, a key transcriptional regulator of the EMT and cancer metastasis. We also found that NICD binds directly to LC3 and that the NICD/LC3 complex associates with SNAI1 and sequestosome 1 (SQSTM1)/p62 proteins. Furthermore, the ATG7 knockdown significantly inhibited degradation of NICD under starvation independent of SQSTM1-associated proteasomal degradation. In addition, NICD degradation by autophagy associated with the cellular level of SNAI1. Indeed, autophagy inhibited nuclear translocation of NICD protein and consequently decreased the transcriptional activity of its target genes. Autophagy activation substantially suppressed in vitro cancer cell migration and invasion. We also observed that NICD and SNAI1 levels in tissues from human cervical and lung cancer patients correlated inversely with expression of autophagy-related proteins. These findings suggest that the cellular level of NICD is regulated by autophagy during cancer progression and that targeting autophagy-dependent NICD/SNAI1 degradation could be a strategy for the development of cancer therapeutics. Show less
no PDF DOI: 10.1186/s13578-022-00752-3
SNAI1
Hyesung Kim, Seung Bum Lee, Jae Kyung Myung +9 more · 2022 · Laboratory investigation; a journal of technical methods and pathology · Nature · added 2026-04-24
The histogenesis of pleomorphic adenoma (PA) of the salivary glands remains controversial. PAs are characterized by the transition of epithelial cells to spindled mesenchymal cells, known as epithelia Show more
The histogenesis of pleomorphic adenoma (PA) of the salivary glands remains controversial. PAs are characterized by the transition of epithelial cells to spindled mesenchymal cells, known as epithelial-mesenchymal transition (EMT). The present study aimed to identify a major EMT-inducing transcription factor (EMT-TF) in PAs. Real-time PCR analysis of SNAIL, SLUG, ZEB1, and TWIST1 demonstrated that only SLUG was significantly upregulated in normal salivary glands and PAs. Combined in situ hybridization for SLUG and multiplex immunohistochemistry for CK19 and P63 revealed that SLUG was specifically expressed in the myoepithelial cells of normal salivary glands. In PAs, SLUG was expressed in neoplastic myoepithelial cells and stromal cells but not in the luminal cells lining the inner layers of tumor glands. SLUG expression showed no correlation with PLAG1 expression, and in vitro experiments demonstrated that PLAG1 suppression in primary cultured PA cells or PLAG1 overexpression in HEK 293 T cells did not affect SLUG levels, indicating that PLAG1 was not involved in the upregulation of SLUG in PAs. The suppression of SLUG expression in cultured PA cells resulted in a morphology change to a less elongated shape and attenuated tumor growth. In addition, SLUG downregulation led to increased E-cadherin and decreased N-cadherin and vimentin expression levels along with decreased migratory activity in cultured PA cells. These findings suggest that SLUG is a major TF that can induce EMT in PAs. In summary, SLUG is specifically and highly expressed in the myoepithelial cells and stromal cells of PAs and is a key regulator of EMT in PAs. Show less
no PDF DOI: 10.1038/s41374-022-00739-1
SNAI1

pSlug

Chang Gok Woo, Seung-Myoung Son, Young Hyun Lim +5 more · 2022 · Virchows Archiv : an international journal of pathology · Springer · added 2026-04-24
Slug is a transcription factor belonging to the slug/snail superfamily. The protein is involved in embryonic development and epithelial-mesenchymal transition of tumors. Slug is also under temporal re Show more
Slug is a transcription factor belonging to the slug/snail superfamily. The protein is involved in embryonic development and epithelial-mesenchymal transition of tumors. Slug is also under temporal regulation during cell cycle. Here, we examined relationship between pSlug Show less
no PDF DOI: 10.1007/s00428-021-03201-7
SNAI1
Kihyun Park, Jian Zhong, Jin Sung Jang +4 more · 2022 · Nucleic acids research · Oxford University Press · added 2026-04-24
The human genome encodes large numbers of non-coding RNAs, including divergent antisense transcripts at transcription start sites (TSSs). However, molecular mechanisms by which divergent antisense tra Show more
The human genome encodes large numbers of non-coding RNAs, including divergent antisense transcripts at transcription start sites (TSSs). However, molecular mechanisms by which divergent antisense transcription is regulated have not been detailed. Here, we report a novel ZWC complex composed of ZC3H4, WDR82 and CK2 that suppresses divergent antisense transcription. The ZWC complex preferentially localizes at TSSs of active genes through direct interactions of ZC3H4 and WDR82 subunits with the S5p RNAPII C-terminal domain. ZC3H4 depletion leads to increased divergent antisense transcription, especially at genes that naturally produce divergent antisense transcripts. We further demonstrate that the ZWC complex phosphorylates the previously uncharacterized N-terminal acidic domain of SPT5, a subunit of the transcription-elongation factor DSIF, and that this phosphorylation is responsible for suppressing divergent antisense transcription. Our study provides evidence that the newly identified ZWC-DSIF axis regulates the direction of transcription during the transition from early to productive elongation. Show less
no PDF DOI: 10.1093/nar/gkac193
ZC3H4
Sunmin Park, Hye Jeong Yang, Min Jung Kim +3 more · 2021 · Nutrients · MDPI · added 2026-04-24
Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with th Show more
Obese Asians are more susceptible to metabolic diseases than obese Caucasians of the same body mass index (BMI). We hypothesized that the genetic variants associated with obesity risk interact with the lifestyles of middle-aged and elderly adults, possibly allowing the development of personalized interventions based on genotype. We aimed to examine this hypothesis in a large city hospital-based cohort in Korea. The participants with cancers, thyroid diseases, chronic kidney disease, or brain-related diseases were excluded. The participants were divided into case and control according to their BMI: ≥25 kg/m Show less
📄 PDF DOI: 10.3390/nu13113772
GIPR
Sohee Cho, Eun Hee Lee, Haein Kim +4 more · 2021 · International journal of legal medicine · Springer · added 2026-04-24
When DNA profiles obtained from biological evidence at a crime scene fail to match suspects or anyone in the database, forensic DNA phenotyping, which is the prediction of externally visible character Show more
When DNA profiles obtained from biological evidence at a crime scene fail to match suspects or anyone in the database, forensic DNA phenotyping, which is the prediction of externally visible characteristics, can facilitate a traced search for an unknown suspect by limiting the search range. Therefore, age, trait, or lifestyle predictors, as well as the predictor for colorations, have been researched in the forensic field. In the present study, for the development of a prediction model for BMI or obesity, we investigated several previously reported BMI- or obesity-associated genetic and epigenetic markers that included four CpGs (cg06500161, cg00574958, cg12593793, and cg10505902 of the ABCG1, CPT1A, LMNA, and PDE4DIP genes, respectively), and eight SNPs (rs12463617, rs1558902, rs591166, rs11030104, rs11671664, rs6545814, rs16858082, and rs574367 near the TMEM18, FTO, MC4R, BDNF, GIPR/QPCTL, ADCY3/RBJ, GNPDA2, and SEC16B genes, respectively) in 700 Koreans within the BMI ranging from 16.1 to 40.6 (27.6 ± 4.5) kg/m Show less
📄 PDF DOI: 10.1007/s00414-021-02517-y
GIPR
Francesca Copperi, Jung Dae Kim, Sabrina Diano · 2021 · Frontiers in physiology · Frontiers · added 2026-04-24
Increasing evidence indicates that the melanocortin system is not only a central player in energy homeostasis, food intake and glucose level regulation, but also in the modulation of cardiovascular fu Show more
Increasing evidence indicates that the melanocortin system is not only a central player in energy homeostasis, food intake and glucose level regulation, but also in the modulation of cardiovascular functions, such as blood pressure and heart rate. The melanocortins, and in particular α- and γ-MSH, have been shown to exert their cardiovascular activity both at the central nervous system level and in the periphery (e.g., in the adrenal gland), binding their receptors MC3R and MC4R and influencing the activity of the sympathetic nervous system. In addition, some studies have shown that the activation of MC3R and MC4R by their endogenous ligands is able to improve the outcome of cardiovascular diseases, such as myocardial and cerebral ischemia. In this brief review, we will discuss the current knowledge of how the melanocortin system influences essential cardiovascular functions, such as blood pressure and heart rate, and its protective role in ischemic events, with a particular focus on the central regulation of such mechanisms. Show less
📄 PDF DOI: 10.3389/fphys.2021.725709
MC4R
Minseon Kim, Soyeon Jo, Ji-Ho Jeong +1 more · 2021 · Protein and peptide letters · Bentham Science · added 2026-04-24
Obesity has emerged as a global public health challenge associated with increased risk of hyperlipidemia and hypertension. It contributes to high sympathetic activity and increased catecholamine level Show more
Obesity has emerged as a global public health challenge associated with increased risk of hyperlipidemia and hypertension. It contributes to high sympathetic activity and increased catecholamine levels. The hypothalamic melanocortin system is known to regulate the energy homeostasis. The role of melanocortin 4 receptor (MC4R) has been demonstrated pharmacologically and in animal studies, which showed that severe obesity in MC4R knockout mice was caused by increased food intake and decreased energy consumption. Over 70 multiple different mis- -sense and nonsense mutations in hMC4R have been found at a high frequency of 2-8% in severe early onset or hereditary obesity. The single amino acid variation (D90N) located in the second transmembrane domain (TM2) of MC4R results in accelerated growth and childhood onset obesity. Interestingly, the functional characterization of D90N hMC4R mutant TM2 (m-hMC4R-TM2) revealed normal cell surface expression and binding with agonist similar to the hMC4R wild-type TM2 (wt-hMC4R-TM2) but loss of signal transduction mediated via Gs/adenylyl cyclase activation. It is essential to delineate the three-dimensional structure of MC4Rs in order to elucidate their functional aspects. In this study, we demonstrate the optimized expression and isolation of wt/m-hMC4R-TM2 proteins under different chemical cleavage reaction times and purification procedures via SDS precipitation. The solid-state NMR spectroscopy was carried out to study the structure of wt/m-hMC4R- TM2 protein in the anisotropic phospholipid bicelles. The KSI-wt/m-hMC4R-TM2 fusion proteins developed in cell culture with LB medium. In order to isolate the expressed fusion protein from the cell, ultrasonication, Ni-NTA affinity chromatography, dialysis, and lyophilization techniques were used. Then, to obtain a protein with higher purity and higher yield, the CNBr chemical cleavage time was subdivided into 30 minutes, 1 h, 2 h, 3 h, and 4 h. Purification process was performed using FPLC, and 100 mM KCl and dialysis were used to remove the SDS. CD spectrometer, MALDI-TOF, solution-state NMR, and solid-state NMR were used to confirmed purity and structure of the wt/m-hMC4R-TM2. The precipitation method was used to remove the SDS bound to proteins as KCl-SDS. We optimized the 2 h cleavage reaction times for both wt-hMC4R-TM2 and m-hMC4R-TM2 depending on the purity based on mass spectra and We expressed wt/m-hMC4R-TM2 in E.coli and optimized the isolation and purification process, especially CNBr chemical cleavage time. The efficiency of KCl-SDS precipitation was confirmed via MALDI-TOF MS and the pure proteins obtained using this method were characterized by CD spectroscopy and solution-state NMR. The results of Show less
no PDF DOI: 10.2174/0929866527666200525162928
MC4R
B-Y Kim, J Y Park, K J Cho +1 more · 2021 · Rhinology · added 2026-04-24
Urban particulate matter (UPM) in ambient air is implicated in a variety of human health issues worldwide, however, few studies exist on the effect of UPM on the olfactory system. This study aimed to Show more
Urban particulate matter (UPM) in ambient air is implicated in a variety of human health issues worldwide, however, few studies exist on the effect of UPM on the olfactory system. This study aimed to identify the factors affecting the destruction of the olfactory system in a mouse model following UPM exposure. Mice were divided into: control and four UPM-exposed groups (200 μg UPM at 1 and 2 weeks, and 400 μg UPM at 1 and 2 weeks [standard reference material 1649b; average particle diameter 10.5 μm]). The olfactory neuroepithelium was harvested for histologic examination, gene ontology, quantitative real-time polymerase chain reaction, and western blotting. Compared to the control group, olfactory marker protein, Olfr1507, ADCY3, and GNAL mRNA levels were lower, and S-100, CNPase, NGFRAP1, BDNF, and TACR3 mRNA levels were higher in the olfactory neuroepithelium of the UPM groups. Moderately positive correlation was present between the 1- and 2-week groups. After analyzing the 200 and 400 UPM groups separately, the strength of the association between the 200 UPM 1- and 2-week groups was moderately positive. No differences was present in the neuroepithelial inflammatory marker levels between the UPM and control groups. UPM could have cytotoxic effects on the olfactory epithelium. The exposure time and particular concentration of UPM exposure could affect the degree of destruction of the olfactory neuroepithelium. The olfactory regeneration mechanism could be related to the neurotrophic factors, olfactory ensheathing cell stimulation, and trigeminal nerve support. Show less
no PDF DOI: 10.4193/Rhin21.192
ADCY3
E E Redei, J D Ciolino, S L Wert +5 more · 2021 · Translational psychiatry · Nature · added 2026-04-24
Major depressive disorder (MDD) is more common in women than in men, and evidence of gender-related subtypes of depression is emerging. Previously identified blood-based transcriptomic biomarkers dist Show more
Major depressive disorder (MDD) is more common in women than in men, and evidence of gender-related subtypes of depression is emerging. Previously identified blood-based transcriptomic biomarkers distinguished male and female subjects with MDD from those without the disorder. In the present pilot study, we investigated the performance of these biomarkers in pregnant and postpartum women with prior major depressive episodes, some of whom had current symptomatology. The symptom scores of 13 pregnant and 15 postpartum women were identified by the Inventory of Depressive Symptoms (IDS-SR-30) at the time of blood sampling. Blood levels of the 20 transcriptomic biomarkers and that of estrogen receptor 2 (ESR2), membrane progesterone receptor alpha and beta (mPRα, mPRβ) were measured. In pregnant women, transcript levels of ADCY3, ASAH1, ATP11C, CDR2, ESR2, FAM46A, mPRβ, NAGA, RAPH1, TLR7, and ZNF291/SCAPER showed significant association with IDS-SR-30 scores, of which ADCY3, FAM46A, RAPH1, and TLR7 were identified in previous studies for their diagnostic potential for major depression. ASAH1 and ATP11C were previously also identified as potential markers of treatment efficacy. In postpartum women, transcript levels of CAT, CD59, and RAPH1 demonstrated a trend of association with IDS-SR-30 scores. Transcript levels of ADCY3, ATP11C, FAM46A, RAPH1, and ZNF291/SCAPER correlated with ESR2 and mPRβ expressions in pregnant women, whereas these associations only existed for mPRβ in postpartum women. These results suggest that a blood biomarker panel can identify depression symptomatology in pregnant women and that expression of these biomarker genes are affected by estrogen and/or progesterone binding differently during pregnancy and postpartum. Show less
📄 PDF DOI: 10.1038/s41398-020-01188-4
ADCY3
Luis Varela, Jae Geun Kim, Pablo Fernández-Tussy +4 more · 2021 · Science advances · Science · added 2026-04-24
Hypothalamic astrocytes play pivotal roles in both nutrient sensing and the modulation of synaptic plasticity of hypothalamic neuronal circuits in control of feeding and systemic glucose and energy me Show more
Hypothalamic astrocytes play pivotal roles in both nutrient sensing and the modulation of synaptic plasticity of hypothalamic neuronal circuits in control of feeding and systemic glucose and energy metabolism. Here, we show the relevance of astrocytic fatty acid (FA) homeostasis under the opposing control of angiopoietin-like 4 (ANGPTL-4) and peroxisome proliferator–activated receptor gamma (PPARγ) in the cellular adaptations of hypothalamic astrocytes and neurons to the changing metabolic milieu. We observed that increased availability of FA in astrocytes induced by cell- and time-selective knockdown of Show less
📄 PDF DOI: 10.1126/sciadv.abj2814
ANGPTL4