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, 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, Kiyoung 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
We wish to correct two mutations in Supplementary Table 4 of this Letter. The NCI-H460 cell line was annotated as being mutant for TP53. NCI-H460 has been verified to be TP53 wild type by several sour Show more
We wish to correct two mutations in Supplementary Table 4 of this Letter. The NCI-H460 cell line was annotated as being mutant for TP53. NCI-H460 has been verified to be TP53 wild type by several sources Show less
Raf kinase inhibitor protein (RKIP) plays a critical role in many signaling pathways as a multi-functional adapter protein. In particular, the loss of RKIP's function in certain types of cancer cells Show more
Raf kinase inhibitor protein (RKIP) plays a critical role in many signaling pathways as a multi-functional adapter protein. In particular, the loss of RKIP's function in certain types of cancer cells results in epithelial to mesenchymal transition (EMT) and the promotion of cancer metastasis. In addition, RKIP inhibits autophagy by modulating LC3-lipidation and mTORC1. How the RKIP-dependent inhibition of autophagy is linked to EMT and cancer progression is still under investigation. In this study, we investigated the ways by which RKIP interacts with key gene products in EMT and autophagy during the progression of prostate cancer. We first identified the gene products of interest using the corresponding gene ontology terms. The weighted-gene co-expression network analysis (WGCNA) was applied on a gene expression dataset from three groups of prostate tissues; benign prostate hyperplasia, primary and metastatic cancer. We found two modules of highly co-expressed genes, which were preserved in other independent datasets of prostate cancer tissues. RKIP showed potentially novel interactions with one EMT and seven autophagy gene products (TGFBR1; PIK3C3, PIK3CB, TBC1D25, TBC1D5, TOLLIP, WDR45 and WIPI1). In addition, we identified several upstream transcription modulators that could regulate the expression of these gene products. Finally, we verified some RKIP novel interactions by co-localization using the confocal microscopy analysis in a prostate cancer cell line. To summarize, RKIP interacts with EMT and autophagy as part of the same functional unit in developing prostate cancer. Show less
The initiation of macroautophagy/autophagy is tightly regulated by the upstream ULK1 kinase complex, which affects many downstream factors including the PtdIns3K complex. The phosphorylation of the ri Show more
The initiation of macroautophagy/autophagy is tightly regulated by the upstream ULK1 kinase complex, which affects many downstream factors including the PtdIns3K complex. The phosphorylation of the right position at the right time on downstream molecules is governed by proper complex formation. One component of the ULK1 complex, ATG101, known as an accessory protein, is a stabilizer of ATG13 in cells. The WF finger region of ATG101 plays an important role in the recruitment of WIPI1 (WD repeat domain, phosphoinositide interacting protein 1) and ZFYVE1 (zinc finger FYVE-type containing 1). Here, we report that the C-terminal region identified in the structure of the human ATG101-ATG13 Show less
Autophagy is an intracellular stress response that is enhanced under starvation conditions, and also when the cellular components are damaged. Aging accompanies an increase in intracellular stress and Show more
Autophagy is an intracellular stress response that is enhanced under starvation conditions, and also when the cellular components are damaged. Aging accompanies an increase in intracellular stress and has significant impact on the skin. Since dermal fibroblasts are a powerful indicator of skin aging, we compared the autophagic activity of human skin fibroblasts between the young and old. According to TEM analyses, the number of autophagosomes per 1 μm² cytoplasmic area was similar between young and aged fibroblasts. The amount of LC3 (microtubule-associated protein 1 light chain 3)-II, a form associated with autophagic vacuolar membranes, was also similar between the groups from Western blot analysis. Although residual bodies were more common in aged dermal fibroblasts, LC3 turnover and p62 assay showed little difference in the rate of lysosomal proteolysis between the young and old. RNA-seq analysis revealed that the major autophagy-modulating genes ( Show less
ULK1 (unc51-like autophagy activating kinase 1) is a serine/threonine kinase that plays a key role in regulating macroautophagy/autophagy induction in response to amino acid starvation. Despite the re Show more
ULK1 (unc51-like autophagy activating kinase 1) is a serine/threonine kinase that plays a key role in regulating macroautophagy/autophagy induction in response to amino acid starvation. Despite the recent progress in understanding ULK1 functions, the molecular mechanism by which ULK1 regulates the induction of autophagy remains elusive. In this study, we determined that ULK1 phosphorylates Ser30 of BECN1 (Beclin 1) in association with ATG14 (autophagy-related 14) but not with UVRAG (UV radiation resistance associated). The Ser30 phosphorylation was induced by deprivation of amino acids or treatments with Torin 1 or rapamycin, the conditions that inhibit MTORC1 (mechanistic target of rapamycin complex 1), and requires ATG13 and RB1CC1 (RB1 inducible coiled-coil 1), proteins that interact with ULK1. Hypoxia or glutamine deprivation, which inhibit MTORC1, was also able to increase the phosphorylation in a manner dependent upon ULK1 and ULK2. Blocking the BECN1 phosphorylation by replacing Ser30 with alanine suppressed the amino acid starvation-induced activation of the ATG14-containing PIK3C3/VPS34 (phosphatidylinositol 3-kinase catalytic subunit type 3) kinase, and reduced autophagy flux and the formation of phagophores and autophagosomes. The Ser30-to-Ala mutation did not affect the ULK1-mediated phosphorylations of BECN1 Ser15 or ATG14 Ser29, indicating that the BECN1 Ser30 phosphorylation might regulate autophagy independently of those 2 sites. Taken together, these results demonstrate that BECN1 Ser30 is a ULK1 target site whose phosphorylation activates the ATG14-containing PIK3C3 complex and stimulates autophagosome formation in response to amino acid starvation, hypoxia, and MTORC1 inhibition. Show less
Plants have evolved strategies to cope with drought stress by maximizing physiological capacity and adjusting developmental processes such as flowering time. The WOX13 orthologous group is the most co Show more
Plants have evolved strategies to cope with drought stress by maximizing physiological capacity and adjusting developmental processes such as flowering time. The WOX13 orthologous group is the most conserved among the clade of WOX homeodomain-containing proteins and is found to function in both drought stress and flower development. In this study, we isolated and characterized Show less
Plantar fascial disorder is comprised of plantar fasciitis and plantar fibromatosis. Plantar fasciitis is the most common cause of heel pain, especially for athletes involved in running and jumping sp Show more
Plantar fascial disorder is comprised of plantar fasciitis and plantar fibromatosis. Plantar fasciitis is the most common cause of heel pain, especially for athletes involved in running and jumping sports. Plantar fibromatosis is a rare fibrous hyperproliferation of the deep connective tissue of the foot. To identify genetic loci associated with plantar fascial disorders, a genome-wide association screen was performed using publically available data from the Research Program in Genes, Environment and Health including 21,624 cases of plantar fascial disorders and 80,879 controls. One indel (chr5:118704153:D) and one SNP (rs62051384) showed an association with plantar fascial disorders at genome-wide significance (p<5×10 Show less
Influenza viruses exploit host factors to successfully replicate in infected cells. Using small interfering RNA (siRNA) technology, we identified six human genes required for influenza A virus (IAV) r Show more
Influenza viruses exploit host factors to successfully replicate in infected cells. Using small interfering RNA (siRNA) technology, we identified six human genes required for influenza A virus (IAV) replication. Here we focused on the role of acid phosphatase 2 (ACP2), as its knockdown showed the greatest inhibition of IAV replication. In IAV-infected cells, depletion of ACP2 resulted in a significant reduction in the expression of viral proteins and mRNA, and led to the attenuation of virus multi-cycle growth. ACP2 knockdown also decreased replication of seasonal influenza A and B viruses and avian IAVs of the H7 subtype. Interestingly, ACP2 depletion had no effect on the replication of Ebola or hepatitis C virus. Because ACP2 is known to be a lysosomal acid phosphatase, we assessed the role of ACP2 in influenza virus entry. While neither binding of the viral particle to the cell surface nor endosomal acidification was affected in ACP2-depleted cells, fusion of the endosomal and viral membranes was impaired. As a result, downstream steps in viral entry were blocked, including nucleocapsid uncoating and nuclear import of viral ribonucleoproteins. Our results established ACP2 as a necessary host factor for regulating the fusion step of influenza virus entry. Show less
Apo-A4 expression was increased in tissues from chronic kidney disease (CKD) patients compared to that in normal kidney tissue. We determined the association of apo-A4 and its regulatory signals follo Show more
Apo-A4 expression was increased in tissues from chronic kidney disease (CKD) patients compared to that in normal kidney tissue. We determined the association of apo-A4 and its regulatory signals following acute kidney injury and elucidated the effects of apo-A4 on cell signaling pathways related to kidney injury in vitro and in vivo. Tumor necrosis factor (TNF)-α, which causes inflammatory cell injury, induced significantly increased expression of apo-A4 protein levels, and these levels were related to pro-inflammatory acute kidney injury in human kidney cells. Apo-A4 expression was also increased in experimented rat kidney tissues after ischemic reperfusion injury. The expression of tumor necrosis factor receptor (TNFR) 2 was increased in both kidney cell lines and experimented rat kidney tissues following acute kidney injury. The expression of apo-A4 and TNFR2 was increased upon treatment with TNF-α. Immunohistochemistry revealed positive apo-A4 and TNFR2 staining in ischemic reperfusion injury rat kidneys compared with levels in the sham operation kidneys. After neutralization of TNF-α, NF-κB expression was only observed in the cytoplasm by immunofluorescence. Therefore, the apo-A4 expression is increased by stimulation of injured kidney cells with TNF-α and that these effects occur via a TNFR2-NFκB complex. Show less
Data regarding biomarkers to understand disease pathogenesis and to assess disease activity of intestinal Behçet's disease (BD) are limited. Therefore, we aimed to investigate the differentially expre Show more
Data regarding biomarkers to understand disease pathogenesis and to assess disease activity of intestinal Behçet's disease (BD) are limited. Therefore, we aimed to investigate the differentially expressed proteins in sera from patients with intestinal BD and to search for biomarkers using mass spectrometry-based proteomic analysis. Serum samples were pooled for the screening study, and two-dimensional electrophoresis (2-DE) was performed to characterize the proteins present in intestinal BD patients. Candidate protein spots were identified using matrix-assisted laser desorption/ionization tandem time-of-flight mass spectrometry (MALDI-TOF/TOF MS) and bioinformatic analysis. To validate the proteomic results, serum samples from an independent cohort were assessed by enzyme-linked immunosorbent assay. Pooled serum samples were used for 2-DE, and approximately 400 protein spots were detected in the sera of intestinal BD patients. Of the 22 differentially expressed proteins, 3 were successfully identified using MALDI-TOF/TOF MS. The three up-regulated proteins identified in the intestinal BD group included fibrin, apolipoprotein A-IV, and serum amyloid A (SAA). Serum SAA in intestinal BD patients (2.76 ± 2.50 ng/ml) was significantly higher than that in controls (1.68 ± 0.90 ng/ml, p = 0.007), which is consistent with the proteomic results. In addition, the level of IL-1β in patients with intestinal BD (8.96 ± 1.23 pg/ml) was higher than that in controls (5.40 ± 0.15 pg/ml, p = 0.009). SAA released by HT-29 cells was markedly increased by tumor necrosis factor-α (TNF-α) and lipopolysaccharides stimulation. Our proteomic analysis revealed that SAA was up-regulated in intestinal BD patients. Show less
We performed an integrated analysis of proteomic and transcriptomic datasets to develop potential diagnostic markers for early pancreatic cancer. In the discovery phase, a multiple reaction monitoring Show more
We performed an integrated analysis of proteomic and transcriptomic datasets to develop potential diagnostic markers for early pancreatic cancer. In the discovery phase, a multiple reaction monitoring assay of 90 proteins identified by either gene expression analysis or global serum proteome profiling was established and applied to 182 clinical specimens. Nine proteins (P < 0.05) were selected for the independent validation phase and quantified using stable isotope dilution-multiple reaction monitoring-mass spectrometry in 456 specimens. Of these proteins, four proteins (apolipoprotein A-IV, apolipoprotein CIII, insulin-like growth factor binding protein 2 and tissue inhibitor of metalloproteinase 1) were significantly altered in pancreatic cancer in both the discovery and validation phase (P < 0.01). Moreover, a panel including carbohydrate antigen 19-9, apolipoprotein A-IV and tissue inhibitor of metalloproteinase 1 showed better performance for distinguishing early pancreatic cancer from pancreatitis (Area under the curve = 0.934, 86% sensitivity at fixed 90% specificity) than carbohydrate antigen 19-9 alone (71% sensitivity).Overall, we present the panel of robust biomarkers for early pancreatic cancer diagnosis through bioinformatics analysis that combined transcriptomic and proteomic data as well as rigorous validation on a large number of independent clinical samples. Show less
Minsoo Kang, Jeonghan Kim, Hyoung-Tae An+1 more · 2017 · FASEB journal : official publication of the Federation of American Societies for Experimental Biology · added 2026-04-24
The molecular mechanism of stress-induced hepatic steatosis is not well known. Human leucine zipper protein (LZIP) regulates the expression of genes involved in inflammation, cell migration, and stres Show more
The molecular mechanism of stress-induced hepatic steatosis is not well known. Human leucine zipper protein (LZIP) regulates the expression of genes involved in inflammation, cell migration, and stress response. The aim of this study was to determine the regulatory role of LZIP in stress-induced hepatic steatosis. We used a microarray analysis to identify LZIP-induced genes involved in hepatic lipid metabolism. LZIP increased the expression of apolipoprotein A-IV (APOA4) mRNA. In the presence of stress inducer, APOA4 promoter analysis was performed, and LZIP-induced lipid accumulation was monitored in mouse primary cells and human tissues. Under Golgi stress conditions, LZIP underwent proteolytic cleavage and was phosphorylated by AKT to protect against proteasome degradation. The stabilized N-terminal LZIP was translocated to the nucleus, where it directly bound to the APOA4 promoter, leading to APOA4 induction. LZIP-induced APOA4 expression resulted in increased absorption of surrounding free fatty acids. LZIP also promoted hepatic steatosis in mouse liver. Both LZIP and APOA4 were highly expressed in human steatosis samples. Our findings indicate that LZIP is a novel modulator of APOA4 expression and hepatic lipid metabolism. LZIP might be a therapeutic target for developing treatment strategies for hepatic steatosis and related metabolic diseases.-Kang, M., Kim, J., An, H.-T., Ko, J. Human leucine zipper protein promotes hepatic steatosis Show less
Hypertriglyceridemia is recognized as an independent risk factor for coronary artery disease. The apolipoprotein A5 gene (APOA5) is a key regulator of triglyceride levels. We aimed to evaluate the ass Show more
Hypertriglyceridemia is recognized as an independent risk factor for coronary artery disease. The apolipoprotein A5 gene (APOA5) is a key regulator of triglyceride levels. We aimed to evaluate the associations of single nucleotide polymorphisms (SNPs) in APOA5, including -1131T>C and c.553G>T, with hypertriglyceridemia, apoA5 concentrations, atherogenic LDL cholesterol levels, and arterial stiffness in hypertriglyceridemic patients. The study population included 599 hypertriglyceridemic patients (case) and 1,549 untreated normotriglyceridemic subjects (control). We genotyped two APOA5 variants, -1131T>C (rs662799) and c.553G>T (rs2075291). The frequencies of the CC genotype of -1131T>C (0.165) and the T allele of c.553G>T (0.119) were significantly higher in hypertriglyceridemic patients than in normotriglyceridemic subjects (0.061 and 0.070, respectively; all p<0.001). In the control and case groups, both the -1131T>C and c.553G>T variants were associated with higher triglyceride and lower HDL cholesterol levels. Controls with the -1131CC variant had lower apoA5 concentrations than controls with the -1131TT variant. Similar effects of the -1131T>C variant on apoA5 were observed in the cases. In the hypertriglyceridemic group, the -1131T>C variant was associated with a smaller LDL particle size, higher levels of oxidized LDL and malondialdehyde, and higher brachial-ankle pulse wave velocity. The -1131T>C and c.553G>T polymorphisms were associated with hypertriglyceridemia in the study population, but only the -1131T>C polymorphism directly affected apoA5 concentrations. Hypertriglyceridemic patients carrying the APOA5 -1131T>C polymorphism exhibited increased atherogenic LDL levels and arterial stiffness, probably due to an effect of the -1131T>C polymorphism on apoA5 concentrations. Show less
High risk of macrovascular complications in patients with type 2 diabetes mellitus (T2DM) is caused by insulin resistance and atherogenic dyslipidemia that may be genetically determined. The aim of th Show more
High risk of macrovascular complications in patients with type 2 diabetes mellitus (T2DM) is caused by insulin resistance and atherogenic dyslipidemia that may be genetically determined. The aim of this study was to assess the association of polymorphic genetic variants APOA5 (S19W/rs3135506), CETP (Taq1B/rs708272), PON1 (Q192R /rs662) and PPARG (Pro12Ala /rs1801282) with T2DM and macrovascular complications in patients with T2DM resident in Northwestern Russia. We examined 386 patients with T2DM and 199 healthy controls. Genotyping was performed by polymerase chain reaction followed by restriction analysis. The study revealed the protective role of allele 12Ala of PPARG gene against T2DM development (odds ratio [OR]=0.58; 95% confidence interval [CI] 0.39-0.85). B1B1 genotype of CETP was associated with increased risk of stroke in T2DM patients (OR=1.85; 95%CI1.07-3.21). RR genotype of PON1 was associated with increased risk of T2DM with stroke (OR=2.98; 95%CI1.01-8.84). According to study results Pro12Ala (rs1801282) variant of PPARG affected the risk of T2DM; polymorphic variants of CETP (Taq1B/rs708272) and PON1 (Q192R/rs662) contributed to the risk of macrovascular complications of T2DM. Show less
Circulating lipid ratios are considered predictors of cardiovascular risks and metabolic syndrome, which cause coronary heart diseases. One constitutional type of Korean medicine prone to weight accum Show more
Circulating lipid ratios are considered predictors of cardiovascular risks and metabolic syndrome, which cause coronary heart diseases. One constitutional type of Korean medicine prone to weight accumulation, the Tae-Eum type, predisposes the consumers to metabolic syndrome, hypertension, diabetes mellitus, etc. Here, we aimed to identify genetic variants for lipid ratios using a genome-wide association study (GWAS) and followed replication analysis in Koreans and constitutional subgroups. GWASs in 5,292 individuals of the Korean Genome and Epidemiology Study and replication analyses in 2,567 subjects of the Korea medicine Data Center were performed to identify genetic variants associated with triglyceride (TG) to HDL cholesterol (HDLC), LDL cholesterol (LDLC) to HDLC, and non-HDLC to HDLC ratios. For subgroup analysis, a computer-based constitution analysis tool was used to categorize the constitutional types of the subjects. In the discovery stage, seven variants in four loci, three variants in three loci, and two variants in one locus were associated with the ratios of log-transformed TG:HDLC (log[TG]:HDLC), LDLC:HDLC, and non-HDLC:HDLC, respectively. The associations of the GWAS variants with lipid ratios were replicated in the validation stage: for the log[TG]:HDLC ratio, rs6589566 near APOA5 and rs4244457 and rs6586891 near LPL; for the LDLC:HDLC ratio, rs4420638 near APOC1 and rs17445774 near C2orf47; and for the non-HDLC:HDLC ratio, rs6589566 near APOA5. Five of these six variants are known to be associated with TG, LDLC, and/or HDLC, but rs17445774 was newly identified to be involved in lipid level changes in this study. Constitutional subgroup analysis revealed effects of variants associated with log[TG]:HDLC and non-HDLC:HDLC ratios in both the Tae-Eum and non-Tae-Eum types, whereas the effect of the LDLC:HDLC ratio-associated variants remained only in the Tae-Eum type. In conclusion, we identified three log[TG]:HDLC ratio-associated variants, two LDLC:HDLC ratio-associated variants, and one non-HDLC:HDLC-associated variant in Koreans and the constitutional subgroups. Show less
CRISPR/Cas9 technology has greatly improved the feasibility and speed of loss-of-function studies that are essential in understanding gene function. In higher eukaryotes, paralogous genes can mask a p Show more
CRISPR/Cas9 technology has greatly improved the feasibility and speed of loss-of-function studies that are essential in understanding gene function. In higher eukaryotes, paralogous genes can mask a potential phenotype by compensating the loss of a gene, thus limiting the information that can be obtained from genetic studies relying on single gene knockouts. We have developed a novel, rapid cloning method for guide RNA (gRNA) concatemers in order to create multi-gene knockouts following a single round of transfection in mouse small intestinal organoids. Our strategy allows for the concatemerization of up to four individual gRNAs into a single vector by performing a single Golden Gate shuffling reaction with annealed gRNA oligos and a pre-designed retroviral vector. This allows either the simultaneous knockout of up to four different genes, or increased knockout efficiency following the targeting of one gene by multiple gRNAs. In this protocol, we show in detail how to efficiently clone multiple gRNAs into the retroviral CRISPR-concatemer vector and how to achieve highly efficient electroporation in intestinal organoids. As an example, we show that simultaneous knockout of two pairs of genes encoding negative regulators of the Wnt signaling pathway (Axin1/2 and Rnf43/Znrf3) renders intestinal organoids resistant to the withdrawal of key growth factors. Show less
Mammalian 2-Cys peroxiredoxin (Prx) enzymes are overexpressed in most cancer tissues, but their specific signaling role in cancer progression is poorly understood. Here we demonstrate that Prx type II Show more
Mammalian 2-Cys peroxiredoxin (Prx) enzymes are overexpressed in most cancer tissues, but their specific signaling role in cancer progression is poorly understood. Here we demonstrate that Prx type II (PrxII) plays a tumor-promoting role in colorectal cancer by interacting with a poly(ADP-ribose) polymerase (PARP) tankyrase. PrxII deletion in mice with inactivating mutation of adenomatous polyposis coli (APC) gene reduces intestinal adenomatous polyposis via Axin/β-catenin axis and thereby promotes survival. In human colorectal cancer cells with APC mutations, PrxII depletion consistently reduces the β-catenin levels and the expression of β-catenin target genes. Essentially, PrxII depletion hampers the PARP-dependent Axin1 degradation through tankyrase inactivation. Direct binding of PrxII to tankyrase ARC4/5 domains seems to be crucial for protecting tankyrase from oxidative inactivation. Furthermore, a chemical compound targeting PrxII inhibits the expansion of APC-mutant colorectal cancer cells in vitro and in vivo tumor xenografts. Collectively, this study reveals a redox mechanism for regulating tankyrase activity and implicates PrxII as a targetable antioxidant enzyme in APC-mutation-positive colorectal cancer.2-Cys peroxiredoxin (Prx) enzymes are highly expressed in most cancers but how they promote cancer progression is unclear. Here the authors show that in colorectal cancers with APC mutation, PrxII binds to tankyrase and prevents its oxidative inactivation, thereby preventing Axin1-dependent degradation of ²b-catenin. Show less
Fetal growth restriction (GR) is associated with perinatal mortality and subsequent metabolic disorders in adulthood. Until now, there is little information regarding changes in the properties of lipo Show more
Fetal growth restriction (GR) is associated with perinatal mortality and subsequent metabolic disorders in adulthood. Until now, there is little information regarding changes in the properties of lipoproteins from growth-restricted fetuses and their maternal sera. To identify unique lipoprotein biomarkers for fetal GR in maternal and cord sera from small neonates, we analyzed lipoprotein compositions and functions. Lipoprotein compositions and functions were compared between cord blood and maternal blood among small for gestational age neonates (SGA; n = 15, 2589 ± 50 g) and appropriate for gestational age neonates (AGA; n = 15) in Korea. Cord blood from the SGA group showed 2-fold higher triglyceride (TG) and TG/high-density lipoprotein cholesterol levels than the AGA group as well as significantly lower (up to 20%) paraoxonase activity and apolipoprotein (apo) A-I content. The SGA group showed the highest cholesteryl ester transfer protein activities in both cord and maternal sera. SGA neonates showed elevated apo-B content in very low-density lipoprotein, 52% reduction of apo A-I content in high-density lipoprotein, and 30% increased glycation (P < .001) compared with AGA neonates. Especially, low-density lipoprotein from the SGA group showed 1.9-fold higher sensitivity to oxidation as well as 3-fold greater uptake into macrophages, suggesting stronger proatherosclerotic properties. Lipoproteins from maternal serum of SGA neonates showed greater oxidation along with TG enrichment and loss of antioxidant ability. On microinjection of cord serum (50 nL) into zebrafish embryos, the SGA group showed the most severe embryonic damage. Lipoproteins from cord and maternal sera of SGA neonates resulted in severe impairment of functional and structural correlations accompanied by greater pro-oxidant and proatherosclerotic properties. Show less
It is well-known that policosanol can improve serum lipid profiles, although the physiological mechanism is still unknown. Here, we investigated functional and structural changes in lipoproteins after Show more
It is well-known that policosanol can improve serum lipid profiles, although the physiological mechanism is still unknown. Here, we investigated functional and structural changes in lipoproteins after consumption of policosanol. To investigate the physiological effect of policosanol, we analyzed serum parameters in young non-smoker (YN; n=7, 24.0±2.4 years), young smoker (YS; n=7, 26.3±1.5 years), and middle-aged subjects (MN; n=11, 52.5±9.8 years) who consumed policosanol daily (10 mg/day) for 8 weeks. After 8 weeks, systolic blood pressure was significantly lowered to 4% (7 mmHg, p=0.022) from initial levels in the YS and MN groups. Moisture content of facial skin increased up to 38 and 18% from initial levels in the YS and MN groups, respectively. Serum triglyceride (TG) levels decreased to 28 and 26% from initial levels in the YN and MN groups, respectively. The percentage of high-density lipoprotein-cholesterol (HDL-C) in total cholesterol was elevated in all subjects (YN, 36%; YS, 35%; MN, 8%) after 8 weeks of policosanol consumption. All groups showed a reduction in serum glucose and uric acid levels. Serum cholesteryl ester transfer protein (CETP) activity was significantly diminished up to 21 and 32% from initial levels in the YN and MN groups, respectively. After 8 weeks, oxidation of the low-density lipoprotein fraction was markedly reduced accompanied by decreased apolipoprotein B (apoB) fragmentation. In the HDL fraction, paraoxonase activity was elevated by 17% along with elevation of apoA-I and cholesterol contents. Electron microscopy revealed that the size and number of HDL particles increased after 8 weeks, and the YS group showed a 2-fold increase in particle size. Daily consumption of policosanol for 8 weeks resulted in lowered blood pressure, reduced serum TG level and CETP activity, and elevated HDL-C contents. These functional enhancements of HDL can prevent and/or attenuate aging-related diseases, hypertension, diabetes and coronary heart disease. Show less
Metabolic reprogramming by oncogenic signals promotes cancer initiation and progression. The oncogene KRAS and tumour suppressor STK11, which encodes the kinase LKB1, regulate metabolism and are frequ Show more
Metabolic reprogramming by oncogenic signals promotes cancer initiation and progression. The oncogene KRAS and tumour suppressor STK11, which encodes the kinase LKB1, regulate metabolism and are frequently mutated in non-small-cell lung cancer (NSCLC). Concurrent occurrence of oncogenic KRAS and loss of LKB1 (KL) in cells specifies aggressive oncological behaviour. Here we show that human KL cells and tumours share metabolomic signatures of perturbed nitrogen handling. KL cells express the urea cycle enzyme carbamoyl phosphate synthetase-1 (CPS1), which produces carbamoyl phosphate in the mitochondria from ammonia and bicarbonate, initiating nitrogen disposal. Transcription of CPS1 is suppressed by LKB1 through AMPK, and CPS1 expression correlates inversely with LKB1 in human NSCLC. Silencing CPS1 in KL cells induces cell death and reduces tumour growth. Notably, cell death results from pyrimidine depletion rather than ammonia toxicity, as CPS1 enables an unconventional pathway of nitrogen flow from ammonia into pyrimidines. CPS1 loss reduces the pyrimidine to purine ratio, compromises S-phase progression and induces DNA-polymerase stalling and DNA damage. Exogenous pyrimidines reverse DNA damage and rescue growth. The data indicate that the KL oncological genotype imposes a metabolic vulnerability related to a dependence on a cross-compartmental pathway of pyrimidine metabolism in an aggressive subset of NSCLC. Show less
The dynamin-like protein, Vps1, is a GTPase involved in cargo sorting and membrane remodeling in multiple cellular trafficking pathways. Recently, Vps1 has been shown to genetically interact with ESCR Show more
The dynamin-like protein, Vps1, is a GTPase involved in cargo sorting and membrane remodeling in multiple cellular trafficking pathways. Recently, Vps1 has been shown to genetically interact with ESCRT subunits. We tested the hypothesis that the functional connection of Vps1 with some of these subunits of ESCRT complexes occurs via a physical interaction. By utilizing the yeast two-hybrid system, we revealed that Vps1 physically interacts with the ESCRT-II subunits, Vps22 and Vps36, and the ESCRT-III subunit Vps24. We found that Vps1 and ESCRT-II components colocalize with Pep12, an endosomal marker. Additionally, loss of Vps1 or depletion of the GTPase activity of Vps1 results in a moderate defect in Cps1 targeting to the vacuole. Here, we discussed the potential implications of Vps1 and ESCRT interaction and their roles in the endosome-to-vacuole traffic. In summary, yeast dynamin interacts with ESCRT II and III complexes, and it functions in Cps1 trafficking toward the vacuole. Show less
Diagnosis of the urea cycle disorder (USD) carbamoyl-phosphate synthetase 1 (CPS1) deficiency (CPS1D) based on only the measurements of biochemical intermediary metabolites is not sufficient to proper Show more
Diagnosis of the urea cycle disorder (USD) carbamoyl-phosphate synthetase 1 (CPS1) deficiency (CPS1D) based on only the measurements of biochemical intermediary metabolites is not sufficient to properly exclude other UCDs with similar symptoms. We report the first Korean CPS1D patient using whole exome sequencing (WES). A four-day-old female neonate presented with respiratory failure due to severe metabolic encephalopathy with hyperammonemia (1,690 μmol/L; reference range, 11.2-48.2 μmol/L). Plasma amino acid analysis revealed markedly elevated levels of alanine (2,923 μmol/L; reference range, 131-710 μmol/L) and glutamine (5,777 μmol/L; reference range, 376-709 μmol/L), whereas that of citrulline was decreased (2 μmol/L; reference range, 10-45 μmol/L). WES revealed compound heterozygous pathogenic variants in the CPS1 gene: one novel nonsense pathogenic variant of c.580C>T (p.Gln194*) and one known pathogenic frameshift pathogenic variant of c.1547delG (p.Gly516Alafs*5), which was previously reported in Japanese patients with CPS1D. We successfully applied WES to molecularly diagnose the first Korean patient with CPS1D in a clinical setting. This result supports the clinical applicability of WES for cost-effective molecular diagnosis of UCDs. Show less
The development of high throughput genotyping techniques has facilitated the identification of selection signatures of pigs. The detection of genomic selection signals in a population subjected to dif Show more
The development of high throughput genotyping techniques has facilitated the identification of selection signatures of pigs. The detection of genomic selection signals in a population subjected to differential selection pressures may provide insights into the genes associated with economically and biologically important traits. To identify genomic regions under selection, we genotyped 488 Duroc (D) pigs and 155 D × Korean native pigs (DKNPs) using the Porcine SNP70K BeadChip. By applying the F Show less
Skeletal muscle tissue development and regeneration relies on the proliferation, maturation and fusion of muscle progenitor cells (myoblasts), which arise transiently from muscle stem cells (satellite Show more
Skeletal muscle tissue development and regeneration relies on the proliferation, maturation and fusion of muscle progenitor cells (myoblasts), which arise transiently from muscle stem cells (satellite cells). Following muscle damage, myoblasts proliferate and differentiate in response to temporally-varying inflammatory cytokines, growth factors, and extracellular matrix cues, which stimulate a shared network of intracellular signaling pathways. Here we present an integrated data-modeling approach to elucidate synergies and antagonisms among proliferation and differentiation signaling axes in myoblasts stimulated by regeneration-associated ligands. We treated mouse primary myoblasts in culture with combinations of eight regeneration-associated growth factors and cytokines in mixtures that induced additive, synergistic, and antagonistic effects on myoblast proliferation and differentiation responses. For these combinatorial stimuli, we measured the activation dynamics of seven signal transduction pathways using multiplexed phosphoprotein assays and scored proliferation and differentiation responses based on expression of myogenic commitment factors to assemble a cue-signaling-response data compendium. We interrogated the relationship between these signals and responses by partial least-squares (PLS) regression modeling. Partial least-squares data-modeling accurately predicted response outcomes in cross-validation on the training compendium (cumulative This data-modeling approach identified conflicting signaling axes that underlie muscle progenitor cell proliferation and differentiation. Show less
Acquisition of resistance to anti-cancer drugs is a significant obstacle to effective cancer treatment. Although several efforts have been made to overcome drug resistance in cancer cells, the detaile Show more
Acquisition of resistance to anti-cancer drugs is a significant obstacle to effective cancer treatment. Although several efforts have been made to overcome drug resistance in cancer cells, the detailed mechanisms have not been fully elucidated. Here, we investigated whether microRNAs (miRNAs) function as pivotal regulators in the acquisition of anti-cancer drug resistance to 5-fluorouracil (5-FU). A survey using a lentivirus library containing 572 precursor miRNAs revealed that five miRNAs promoted cell survival after 5-FU treatment in human hepatocellular carcinoma Hep3B cells. Among the five different clones, the clone expressing miR-200a-3p (Hep3B-miR-200a-3p) was further characterized as a 5-FU-resistant cell line. The cell viability and growth rate of Hep3B-miR-200a-3p cells were higher than those of control cells after 5-FU treatment. Ectopic expression of a miR-200a-3p mimic increased, while inhibition of miR-200a-3p downregulated, cell viability in response to 5-FU, doxorubicin, and CDDP (cisplatin). We also showed that dual-specificity phosphatase 6 (DUSP6) is a novel target of miR-200a-3p and regulates resistance to 5-FU. Ectopic expression of DUSP6 mitigated the pro-survival effects of miR-200a-3p. Taken together, these results lead us to propose that miR-200a-3p enhances anti-cancer drug resistance by decreasing DUSP6 expression. Show less
Smith-McCort dysplasia (SMC OMIM 615222) and Dyggve-Melchior-Clausen dysplasia (DMC OMIM 223800) are allelic skeletal dysplasias caused by homozygous or compound heterozygous mutations in DYM (OMIM 60 Show more
Cancer stem cells (CSCs) are associated with cancer recurrence following radio/chemotherapy owing to their high resistance to therapeutic intervention. In this study, we investigated the role of exost Show more
Cancer stem cells (CSCs) are associated with cancer recurrence following radio/chemotherapy owing to their high resistance to therapeutic intervention. In this study, we investigated the role of exostoxin 1 (EXT1), an endoplasmic reticulum (ER)-residing type II transmembrane glycoprotein, in cancer cell stemness. DNA microarray analysis revealed that doxorubicin-resistant MCF7/ADR cells have high levels of EXT1 expression compared to its parental cell line, MCF7. These cells showed significantly higher populations of CSCs and larger populations of aldehyde dehydrogenase (ALDH Show less
Fatty acid desaturase 3 (FADS3) is the third member of the FADS gene cluster. FADS1 and FADS2 code for enzymes required for highly unsaturated fatty acid (HUFA) biosynthesis, but FADS3 function remain Show more
Fatty acid desaturase 3 (FADS3) is the third member of the FADS gene cluster. FADS1 and FADS2 code for enzymes required for highly unsaturated fatty acid (HUFA) biosynthesis, but FADS3 function remains elusive. We generated the first Fads3 knockout (KO) mouse with an aim to characterize its metabolic phenotype and clues to in vivo function. All mice (wild type (WT) and KO) were fed facility rodent chow devoid of HUFA. No differences in overt phenotypes (survival, fertility, growth rate) were observed. Docosahexaenoic acid (DHA, 22:6n-3) levels in the brain of postnatal day 1 (P1) KO mice were lower than the WT (P < 0.05). The ratio of docosapentaenoic acid (DPA, 22:5n-3) to DHA in P1 KO liver was higher than in WT suggesting lower desaturase activity. Concomitantly, 20:4n-6 was lower but its elongation product 22:4n-6 was greater in the liver of P1 KO mice. P1 KO liver Fads1 and Fads2 mRNA levels were significantly downregulated whereas expression levels of elongation of very long chain 2 (Elovl2) and Elovl5 genes were upregulated compared to age-matched WT. No Δ13-desaturation of vaccenic acid was observed in liver or heart in WT mice expressing FADS3 as was reported in vitro. Taken together, the fatty acid compositional results suggest that Fads3 enhances liver-mediated 22:6n-3 synthesis to support brain 22:6n-3 accretion before and during the brain growth spurt. Show less
Serine/arginine (SR)-rich proteins that contain RS domains and SR repeats have diverse cellular functions including transcription, polyadenylation, translation, and RNA export. The splicing factor SRS Show more
Serine/arginine (SR)-rich proteins that contain RS domains and SR repeats have diverse cellular functions including transcription, polyadenylation, translation, and RNA export. The splicing factor SRSF3, also termed SRp20, is the smallest member of the SR protein family and is a known proto-oncogene. Although it is implicated in the malignant phenotypes of various cancer cells, the molecular mechanism underlying SRSF3-mediated cancer progression is still obscure. We investigated here the oncogenic functions of SRSF3 in osteosarcoma U2OS cells. Knockdown of SRSF3 inhibited proliferation, clonogenicity, and metastatic potential including migration and invasion. It also decreased the level of miR-1908 independent of its host gene FADS1. Although FADS1 was not associated with SRSF3-mediated malignant properties, overexpression of miR-1908-5p increased cell proliferation, migration, and invasion, suggesting that miR-1908-5p is responsible for the oncogenic functions of SRSF3. Knockdown of SRSF3 decreased the expression of miR-1908-5p by inhibiting transactivation of NF-κB. We observed that miR-1908-5p downregulated NF-κB inhibitor interacting Ras-like 2 (NKIRAS2), a negative regulator of the NF-κB pathway by directly binding to the 3'UTR of NKIRAS2 mRNA. Consistent with overexpression of miR-1908-5p, knockdown of NKIRAS2 diminished the expression level of IκB-β and provoked translocation of NF-κB into the nucleus where it transcriptionally activates its target genes including miR-1908-5p expression, thus elevating the proliferation and metastatic potential. Taken together, our results demonstrate that SRSF3 confers the malignant characteristics on cancer cells via the SRSF3/miR-1908-5p/NKIRAS2 axis. Show less