Also published as: A Ram Kim, Ae-Jung Kim, Ah-Ram Kim, Albert H Kim, Alison J Kim, Andrea J Kim, Angela H Kim, Angela Kim, Angela S Kim, Anna Kim, Anthony S Kim, Aram Kim, Arie Kim, B T Kim, B-Y Kim, Baek Kim, Beom-Jun Kim, Beomsoo Kim, Beomsu Kim, Bo Ri Kim, Bo Young Kim, Bo-Eun Kim, Bo-Ra Kim, Bo-Rahm Kim, Bomi Kim, Bong-Jo Kim, Bongjun Kim, Boo-Young Kim, Borahm Kim, Boram Kim, Brandon J Kim, Brian S Kim, Byeong-Won Kim, Byoung Jae Kim, Byron Kim, Byung Guk Kim, Byung Jin Kim, Byung-Chul Kim, Byung-Gyu Kim, Byung-Taek Kim, Byungwook Kim, C H Kim, Carla F Kim, Caroline Kim, Cecilia E Kim, Cecilia Kim, Chae-Hyun Kim, Chan Wook Kim, Chan-Duck Kim, Chan-Hee Kim, Chan-Wha Kim, Chang Seong Kim, Chang-Gu Kim, Chang-Yub Kim, Chanhee Kim, Cheol-Hee Kim, Cheol-Su Kim, Cheorl-Ho Kim, Choel Kim, Chong Ae Kim, Chong Kook Kim, Chongtae Kim, Choon Ok Kim, Choon-Song Kim, Chu-Young Kim, Chul Hoon Kim, Chul Hwan Kim, Chul-Hong Kim, Chunki Kim, D-W Kim, Da Sol Kim, Da-Hyun Kim, Da-Sol Kim, Dae Hyun Kim, Dae In Kim, Dae Keun Kim, Dae-Eun Kim, Dae-Jin Kim, Dae-Kyeong Kim, Dae-Kyum Kim, Dae-Soo Kim, Daeeun Kim, Daegyeom Kim, Daeseung Kim, Daesik Kim, Daham Kim, Dahee Kim, Dakyung Kim, Dan Say Kim, David E Kim, Dayoung Kim, Dennis Y Kim, Deok Ryong Kim, Deok-Ho Kim, Deokhoon Kim, Do Hyung Kim, Do Yeon Kim, Do-Hyung Kim, Do-Kyun Kim, Dokyoon Kim, Don-Kyu Kim, Dong Gwang Kim, Dong Ha Kim, Dong Hyun Kim, Dong Il Kim, Dong Joon Kim, Dong Wook Kim, Dong-Eun Kim, Dong-Hee Kim, Dong-Hoon Kim, Dong-Hyeok Kim, Dong-Hyun Kim, Dong-Ik Kim, Dong-Kyu Kim, Dong-Seok Kim, Dong-Wook Kim, Dong-Yi Kim, Dong-il Kim, Donghee Kim, Donghyeon Kim, Donghyun Kim, Dongjoon Kim, Dongkyun Kim, Dongwoo Kim, Doo Yeon Kim, Doo Yeong Kim, Doyeon Kim, Duck-Hee Kim, E Kim, E-S Kim, Edwin H Kim, Eiru Kim, Elizabeth H Kim, Ellen Kim, Eonmi Kim, Eosu Kim, Eric Eunshik Kim, Eric Kim, Esl Kim, Esther Kim, Eui Hyun Kim, Eui Jin Kim, Eui-Soon Kim, Eun Hee Kim, Eun Ho Kim, Eun Ji Kim, Eun Kim, Eun Young Kim, Eun-Jin Kim, Eun-Joo Kim, Eun-Jung Kim, Eun-Kyung Kim, Eunae Kim, Eung Yeop Kim, Eung-Gook Kim, Eungseok Kim, Eunha Kim, Eunhyun Kim, Eunjoon Kim, Eunju Kim, Eunkyeong Kim, Eunmi Kim, Gahyun Kim, Geun-Young Kim, Gi Beom Kim, Gibae Kim, Gitae Kim, Go Woon Kim, Goo-Young Kim, Goun Kim, Grace Kim, Gu-Hwan Kim, Gukhan Kim, Gunhee Kim, Gwang Sik Kim, Gwangil Kim, Gye Lim Kim, Gyeonghun Kim, Gyudong Kim, H Kim, H S Kim, Ha-Jung Kim, Ha-Neui Kim, Hae Won Kim, Haein Kim, Haelee Kim, Haeryoung Kim, Hail Kim, Han Gyung Kim, Han Young Kim, Han-Kyul Kim, Hana Kim, Hanah Kim, Hang-Rai Kim, Hannah Kim, Hark Kyun Kim, Hee Jeong Kim, Hee Jin Kim, Hee Jong Kim, Hee Nam Kim, Hee Su Kim, Hee Young Kim, Hee-Jin Kim, Hee-Sun Kim, Heebal Kim, Heegoo Kim, Heejin Kim, Hei Sung Kim, Helen B Kim, Helen Kim, Heung-Joong Kim, Ho Shik Kim, Ho-Sook Kim, Hoguen Kim, Hong Sug Kim, Hong-Gi Kim, Hong-Hee Kim, Hong-Kook Kim, Hong-Kyu Kim, Hoon Kim, Hoon Seok Kim, Howard H Kim, Hwa-Jung Kim, Hwajung Kim, Hwi Seung Kim, Hwijin Kim, Hye Jin Kim, Hye Ran Kim, Hye Ree Kim, Hye Young Kim, Hye Yun Kim, Hye-Jin Kim, Hye-Jung Kim, Hye-Ran Kim, Hye-Sung Kim, Hye-Yeon Kim, Hye-Young H Kim, Hyejin Kim, Hyelim Kim, Hyemin Kim, Hyeon Ho Kim, Hyeon Jeong Kim, Hyeon-Ah Kim, Hyeong Hoe Kim, Hyeong Su Kim, Hyeong-Geug Kim, Hyeong-Jin Kim, Hyeong-Rok Kim, Hyeong-Taek Kim, Hyeonwoo Kim, Hyeseon Kim, Hyesung Kim, Hyeung-Rak Kim, Hyeyoon Kim, Hyeyoung Kim, Hyo Jong Kim, Hyo Jung Kim, Hyo-Soo Kim, Hyojin Kim, Hyojung Kim, Hyoun Ju Kim, Hyoun-Ah Kim, Hyoung Kyu Kim, Hyuk Soon Kim, Hyun Eun Kim, Hyun Gi Kim, Hyun Joon Kim, Hyun Ju Kim, Hyun Kim, Hyun Sil Kim, Hyun Soo Kim, Hyun Sook Kim, Hyun-Ji Kim, Hyun-Jin Kim, Hyun-Jung Kim, Hyun-Kyong Kim, Hyun-Sic Kim, Hyun-Soo Kim, Hyun-Yi Kim, Hyun-Young Kim, Hyun-ju Kim, Hyunbae Kim, Hyung Bum Kim, Hyung Hoi Kim, Hyung Min Kim, Hyung Yoon Kim, Hyung-Goo Kim, Hyung-Gu Kim, Hyung-Jun Kim, Hyung-Mi Kim, Hyung-Ryong Kim, Hyung-Seok Kim, Hyung-Sik Kim, Hyung-Suk Kim, Hyungjun Kim, Hyungkuen Kim, Hyungsoo Kim, Hyunjin Kim, Hyunjoon Kim, Hyunju Kim, Hyunki Kim, Hyunmi Kim, Hyunsoo Kim, Hyunwoo Kim, Hyunwook Kim, Hyunyoung Kim, Ick Young Kim, Il-Chan Kim, Il-Man Kim, Il-Sup Kim, In Ja Kim, In Joo Kim, In Kyoung Kim, In Su Kim, In Suk Kim, In-Hoo Kim, J H Kim, J Julie Kim, J Y Kim, Jae Bum Kim, Jae Geun Kim, Jae Gon Kim, Jae Hoon Kim, Jae Hun Kim, Jae Hyoung Kim, Jae Hyun Kim, Jae Seon Kim, Jae Suk Kim, Jae T Kim, Jae-Ick Kim, Jae-Jun Kim, Jae-Jung Kim, Jae-Min Kim, Jae-Ryong Kim, Jae-Yong Kim, Jae-Yoon Kim, Jae-Young Kim, Jaegil Kim, Jaehoon Kim, Jaemi Kim, Jaeuk U Kim, Jaewon Kim, Jaeyeon Kim, Jaeyoon Kim, Jang Heub Kim, Jang-Hee Kim, Jason K Kim, Jason Kim, Jayoun Kim, Jee Ah Kim, Jeeho Kim, Jeewoo Kim, Jeeyoung Kim, Jeffrey J Kim, Jeffrey Kim, Jenny H Kim, Jeong Hee Kim, Jeong Kyu Kim, Jeong Su Kim, Jeong-Han Kim, Jeong-Min Kim, Jeonghan Kim, Jeongseon Kim, Jeongseop Kim, Jeri Kim, Jessica Kim, Jewoo Kim, Ji Eun Kim, Ji Hun Kim, Ji Hye Kim, Ji Hyun Kim, Ji Won Kim, Ji Yeon Kim, Ji Young Kim, Ji-Dam Kim, Ji-Eun Kim, Ji-Hoon Kim, Ji-Man Kim, Ji-Won Kim, Ji-Woon Kim, Ji-Young Kim, Ji-Yul Kim, Ji-Yun Kim, Jieun Kim, Jiha Kim, Jiho Kim, Jihoon Kim, Jihye Kim, Jihyun Kim, Jimi Kim, Jin Cheon Kim, Jin Gyeom Kim, Jin Hee Kim, Jin Kim, Jin Kyong Kim, Jin Man Kim, Jin Seok Kim, Jin Won Kim, Jin Woo Kim, Jin Young Kim, Jin-Chul Kim, Jin-Soo Kim, Jina Kim, Jinhee Kim, Jinho Kim, Jinkyeong Kim, Jinsoo Kim, Jinsu Kim, Jinsup Kim, Jisook Kim, Jisu Kim, Jisun Kim, Jisup Kim, Jiwon Kim, Jiyea Kim, Jiyeon Kim, Jong Deog Kim, Jong Geun Kim, Jong Han Kim, Jong Heon Kim, Jong Ho Kim, Jong Hwan Kim, Jong Won Kim, Jong Woo Kim, Jong Yeol Kim, Jong-Ho Kim, Jong-Hyun Kim, Jong-Il Kim, Jong-Joo Kim, Jong-Ki Kim, Jong-Kyu Kim, Jong-Oh Kim, Jong-Seo Kim, Jong-Seok Kim, Jong-Won Kim, Jong-Yeon Kim, Jong-Youn Kim, JongKyong Kim, Jongchan Kim, Jonggeol J Kim, Jonggeol Jeffrey Kim, Jongho Kim, Jongkyu Kim, Jongmyung Kim, Jongwan Kim, Jooho Kim, Joon Kim, Joong Sun Kim, Joong-Seok Kim, Joonki Kim, Joonseok Kim, Joonyoung Kim, Joonyoung R Kim, Joori Kim, Joseph C Kim, Joseph Han Sol Kim, Joung Sug Kim, Joungmok Kim, Ju Deok Kim, Ju Han Kim, Ju Young Kim, Ju-Kon Kim, Ju-Ryoung Kim, Ju-Wan Kim, Juhyun Kim, Jun Chul Kim, Jun Hee Kim, Jun Hoe Kim, Jun Pyo Kim, Jun Seok Kim, Jun Suk Kim, Jun W Kim, Jun-Hyung Kim, Jun-Mo Kim, Jun-Sik Kim, June Hee Kim, June Soo Kim, June-Bum Kim, Junesun Kim, Jung Dae Kim, Jung H Kim, Jung Hee Kim, Jung Ho Kim, Jung Ki Kim, Jung Oh Kim, Jung Soo Kim, Jung Sun Kim, Jung-Ha Kim, Jung-Hyun Kim, Jung-In Kim, Jung-Lye Kim, Jung-Taek Kim, Jung-Woong Kim, JungMin Kim, Jungeun Kim, Jungsu Kim, Jungwoo Kim, Juyeong Kim, Juyong B Kim, Juyoung Kim, K-K Kim, K-S Kim, Kahye Kim, Kang Ho Kim, Kangjoon Kim, Kee-Pyo Kim, Kee-Tae Kim, Kellan Kim, Keun You Kim, Kevin K Kim, Ki Hyun Kim, Ki Kwon Kim, Ki Tae Kim, Ki Woong Kim, Kil-Nam Kim, Kiyoung Kim, Kook Hwan Kim, Kwan Hyun Kim, Kwan-Suk Kim, Kwang Dong Kim, Kwang Pyo Kim, Kwang-Eun Kim, Kwang-Pyo Kim, Kwangho Kim, Kwangwoo Kim, Kwonseop Kim, Kye Hun Kim, Kye Hyun Kim, Kye-Seong Kim, Kyeong Jin Kim, Kyeong-Min Kim, Kyeongjin Kim, Kyeongmi Kim, Kyong Min Kim, Kyong-Tai Kim, Kyoung Hoon Kim, Kyoung Hwan Kim, Kyoung Oh Kim, Kyoungtae Kim, Kyu-Kwang Kim, Kyuho Kim, Kyung An Kim, Kyung Do Kim, Kyung Han Kim, Kyung Hee Kim, Kyung Mee Kim, Kyung Sup Kim, Kyung Woo Kim, Kyung-Chang Kim, Kyung-Hee Kim, Kyung-Sub Kim, Kyung-Sup Kim, Kyunga Kim, Kyunggon Kim, Kyungjin Kim, Kyungsook Kim, Kyungtae Kim, Kyungwon Kim, Leen Kim, Leo A Kim, Leo Kim, Lia Kim, Luke Y Kim, M J Kim, M Kim, M V Kim, Maya Kim, Meelim Kim, Meesun Kim, Mi Jeong Kim, Mi Kyung Kim, Mi Ok Kim, Mi Ra Kim, Mi Young Kim, Mi-Hyun Kim, Mi-Na Kim, Mi-Sung Kim, Mi-Yeon Kim, Mi-Young Kim, Mijeong Kim, Mijung Kim, Min Bum Kim, Min Cheol Kim, Min Chul Kim, Min Joo Kim, Min Ju Kim, Min Jung Kim, Min Kim, Min Kyeong Kim, Min Seo Kim, Min Soo Kim, Min Wook Kim, Min-A Kim, Min-Gon Kim, Min-Hyun Kim, Min-Seo Kim, Min-Seon Kim, Min-Sik Kim, Min-Sun Kim, Min-Young Kim, Mina K Kim, Minah Kim, Minchul Kim, Minhee Kim, Minjae Kim, Minjeong Kim, Minji Kim, Minjoo Kim, Minju Kim, Minkyeong Kim, Minkyung Kim, Minseon Kim, Minsik Kim, Minsoon Kim, Minsu Kim, Minsuk Kim, Miri Kim, Miso Kim, Misu Kim, Misun Kim, Misung Kim, Moo-Yeon Kim, Moon Suk Kim, Myeong Ji Kim, Myeong Ok Kim, Myeong-Kyu Kim, Myeoung Su Kim, Myoung Hee Kim, Myoung Ok Kim, Myoung Sook Kim, Myung Jin Kim, Myung-Jin Kim, Myung-Sun Kim, Myung-Sunny Kim, Myungshin Kim, Myungsuk Kim, Na Yeon Kim, Na-Kuang Kim, Na-Young Kim, Nam Hee Kim, Nam-Eun Kim, Nam-Ho Kim, Nam-Hyung Kim, NamDoo Kim, NamHee Kim, Namkyoung Kim, Namphil Kim, Nan Young Kim, Nari Kim, Ngoc Thanh Kim, Ngoc-Thanh Kim, Oc-Hee Kim, Oh Yoen Kim, Ohn Soon Kim, Ok Jin Kim, Ok-Hwa Kim, Ok-Hyeon Kim, Ok-Kyung Kim, Okhwa Kim, Paul H Kim, Paul Kim, Paul T Kim, Peter K Kim, Reuben H Kim, Richard B Kim, Richard Kim, Rokki Kim, Rosalind Kim, Ryung S Kim, S Kim, S Y Kim, Sae Hun Kim, Saerom Kim, Sang Chan Kim, Sang Eun Kim, Sang Geon Kim, Sang Hyuk Kim, Sang Jin Kim, Sang Ryong Kim, Sang Soo Kim, Sang Wun Kim, Sang-Gun Kim, Sang-Hoon Kim, Sang-Min Kim, Sang-Tae Kim, Sang-Woo Kim, Sang-Young Kim, Sangchul Kim, Sangmi Kim, Sangsoo Kim, Sangwoo Kim, Scott Y H Kim, Se Hyun Kim, Se-Wha Kim, Sejoong Kim, Seohyeon Kim, Seohyun Kim, Seok Won Kim, Seokhwi Kim, Seokjoong Kim, Seol-A Kim, Seon Hee Kim, Seon Hwa Kim, Seon-Kyu Kim, Seon-Young Kim, Seong Jun Kim, Seong Kim, Seong-Hyun Kim, Seong-Ik Kim, Seong-Jin Kim, Seong-Min Kim, Seong-Seop Kim, Seong-Tae Kim, Seonggon Kim, Seongho Kim, Seongmi Kim, Seonhee Kim, Seoyeon Kim, Seoyoung Kim, Serim Kim, Seul Young Kim, Seul-Ki Kim, Seulhee Kim, Seung Chul Kim, Seung Jun Kim, Seung Tea Kim, Seung Won Kim, Seung Woo Kim, Seung-Jin Kim, Seung-Ki Kim, Seung-Whan Kim, Seungsoo Kim, Sewoon Kim, Shi-Mun Kim, Shin Kim, Sin Gon Kim, Sinai Kim, So Ree Kim, So Yeon Kim, So Young Kim, So-Hee Kim, So-Woon Kim, So-Yeon Kim, Soee Kim, Soeun Kim, Sohee Kim, Sol Kim, Song-Rae Kim, Soo Hyun Kim, Soo Jung Kim, Soo Wan Kim, Soo Whan Kim, Soo Yoon Kim, Soo Young Kim, Soo-Hyun Kim, Soo-Rim Kim, Soo-Youl Kim, SooHyeon Kim, Sook Young Kim, Soon Hee Kim, Soon Sun Kim, Soon-Hee Kim, Soriul Kim, Soung Jung Kim, Sowon Kim, Soyeong Kim, Steve Kim, Stuart K Kim, Su Jin Kim, Su Kang Kim, Su-Hyeong Kim, Su-Jeong Kim, Su-Jin Kim, Su-Yeon Kim, Suhyun Kim, Suhyung Kim, Suji Kim, Sujin Kim, Sujung Kim, Suk Jae Kim, Suk-Jeong Kim, Suk-Kyung Kim, Sukjun Kim, Sun Hee Kim, Sun Hye Kim, Sun Woong Kim, Sun Yeou Kim, Sun-Gyun Kim, Sun-Hee Kim, Sun-Hong Kim, Sun-Joong Kim, Sung Eun Kim, Sung Han Kim, Sung Hyun Kim, Sung Kyun Kim, Sung Mok Kim, Sung Soo Kim, Sung Tae Kim, Sung Won Kim, Sung Woo Kim, Sung Yeol Kim, Sung Young Kim, Sung-Bae Kim, Sung-Eun Kim, Sung-Hee Kim, Sung-Hoon Kim, Sung-Hou Kim, Sung-Jo Kim, Sung-Kyu Kim, Sung-Mi Kim, Sung-Wan Kim, Sunggun Kim, Sunghak Kim, Sunghoon Kim, Sunghun Kim, Sunghwan Kim, Sungjoo Kim, Sungmin Kim, Sungrae Kim, Sungryong Kim, Sungup Kim, Sungyeon Kim, Sungyun Kim, Sunkyu Kim, Sunoh Kim, Sunyoung Kim, Susy Kim, Sydney Y Kim, Tae Hoen Kim, Tae Hoon Kim, Tae Hun Kim, Tae Hyun Kim, Tae Il Kim, Tae Jin Kim, Tae Min Kim, Tae Wan Kim, Tae-Eun Kim, Tae-Gyu Kim, Tae-Hyoung Kim, Tae-Hyun Kim, Tae-Mi Kim, Tae-Min Kim, Tae-Woon Kim, Tae-You Kim, TaeHyung Kim, TaeYeong Kim, Taeeun Kim, Taehyeung Kim, Taehyoun Kim, Taeil Kim, Taejung Kim, Taek-Kyun Kim, Taek-Yeong Kim, Taewan Kim, Taeyoung Kim, Tai Kyoung Kim, Un Gi Kim, Un-Kyung Kim, Vladimir Kim, Wanil Kim, William Kim, Won Dong Kim, Won Ho Kim, Won J Kim, Won Jeoung Kim, Won Kim, Won Kon Kim, Won Kyung Kim, Won Seok Kim, Won Tae Kim, Won-Tae Kim, Wondong Kim, Woo Jin Kim, Woo Kim, Woo Kyung Kim, Woo Sik Kim, Woo-Jin Kim, Woo-Kyun Kim, Woo-Shik Kim, Woo-Yang Kim, Woojin Scott Kim, Wook Kim, Woong-Ki Kim, Woonhee Kim, Wootae Kim, Wun-Jae Kim, Y A Kim, Y S Kim, Y-D Kim, Y-M Kim, Yangseok Kim, Ye-Ri Kim, Yeaseul Kim, Yeeun Kim, Yeji Kim, Yejin Kim, Yekaterina Kim, Yeon Ju Kim, Yeon-Hee Kim, Yeon-Jeong Kim, Yeon-Jung Kim, Yeon-Ki Kim, Yeong-Sang Kim, Yeonhwa Kim, Yeonjung Kim, Yeonsoo Kim, Yerin Kim, Yeseul Kim, Yeul Hong Kim, Yo-Han Kim, Yong Deuk Kim, Yong Kwan Kim, Yong Kyun Kim, Yong Kyung Kim, Yong Sig Kim, Yong Sik Kim, Yong Sook Kim, Yong Sung Kim, Yong-Hoon Kim, Yong-Lim Kim, Yong-Ou Kim, Yong-Sik Kim, Yong-Soo Kim, Yong-Wan Kim, Yong-Woon Kim, Yongae Kim, Yonghwan Kim, Yongjae Kim, Yongkang Kim, Yongmin Kim, Yoo Ri Kim, Yoojin Kim, Yoon Sook Kim, Yoongeum Kim, Yoonjung Kim, You Sun Kim, You-Jin Kim, You-Sun Kim, Youbin Kim, Youn Shic Kim, Youn-Jung Kim, Youn-Kyung Kim, Young Eun Kim, Young Hee Kim, Young Ho Kim, Young Hun Kim, Young Hwa Kim, Young Jin Kim, Young Ju Kim, Young Mi Kim, Young Nam Kim, Young Rae Kim, Young Ree Kim, Young S Kim, Young Sam Kim, Young Sik Kim, Young Tae Kim, Young Woo Kim, Young-Bum Kim, Young-Cho Kim, Young-Chul Kim, Young-Dae Kim, Young-Eun Kim, Young-Ho Kim, Young-Hoon Kim, Young-Il Kim, Young-Im Kim, Young-Jin Kim, Young-Joo Kim, Young-Mi Kim, Young-Saeng Kim, Young-Won Kim, Young-Woo Kim, Young-Woong Kim, Young-Youn Kim, Youngchang Kim, Youngchul Kim, Youngeun Kim, Younghoon Kim, Youngjoo Kim, Youngmi Kim, Youngsin Kim, Youngsoo Kim, Youngsook Kim, Youngwoo Kim, Yu Kyeong Kim, Yu Mi Kim, Yu-Jin Kim, Yul-Ho Kim, Yuli Kim, Yumi Kim, Yun Gi Kim, Yun Hye Kim, Yun Joong Kim, Yun Seok Kim, Yun-Jin Kim, Yunjung Kim, Yunwoo Kim
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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