S
Sohoung Kim
Researcher at National Institutes of Health
Publications - 8
Citations - 896
Sohoung Kim is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 1 publications receiving 815 citations.
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Journal ArticleDOI
The Systems Biology Graphical Notation
Nicolas Le Novère,Michael Hucka,Huaiyu Mi,Stuart L. Moodie,Falk Schreiber,Falk Schreiber,Anatoly Sorokin,Emek Demir,Katja Wegner,Mirit I. Aladjem,Sarala M. Wimalaratne,Frank T Bergman,Ralph Gauges,Peter Ghazal,Hideya Kawaji,Lu Li,Yukiko Matsuoka,Alice Villéger,Sarah Elizabeth Boyd,Laurence Calzone,Mélanie Courtot,Ugur Dogrusoz,Tom C. Freeman,Akira Funahashi,Samik Ghosh,Akiya Jouraku,Sohoung Kim,Fedor A. Kolpakov,Augustin Luna,Sven Sahle,Esther Schmidt,Steven Watterson,Steven Watterson,Guanming Wu,Igor Goryanin,Douglas B. Kell,Chris Sander,Herbert M. Sauro,Jacky L. Snoep,Kurt W. Kohn,Hiroaki Kitano +40 more
TL;DR: The Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists, believes that it will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge.
Journal ArticleDOI
The glucocorticoid receptor associates with the cohesin loader NIPBL to promote long-range gene regulation
Lorenzo Rinaldi,Grégory Fettweis,Sohoung Kim,David A. Garcia,Saori Fujiwara,Thomas A. Johnson,T. T. Tettey,Laurent Ozbun,Gianluca Pegoraro,Michele Puglia,Blagoy Blagoev,Arpita Upadhyaya,Diana A. Stavreva,Gordon L. Hager +13 more
TL;DR: Using mass spectrometry, genome mapping, and single-molecule tracking methods, it is demonstrated that the glucocorticoid (GC) receptor (GR) interacts with NIPBL and the cohesin complex at the chromatin level, promoting loop extrusion and long-range gene regulation.
Journal ArticleDOI
HIV vaccine candidate efficacy in female macaques mediated by cAMP-dependent efferocytosis and V2-specific ADCC
Massimiliano Bissa,Sohoung Kim,Veronica Galli,Slim Fourati,Sarkis Sarkis,Anush Arakelyan,Isabela Silva Castro,Mohammad Arif Rahman,Saori Fujiwara,Monica Vaccari,Jeffrey Tomalka,James D. Stamos,Luca Schifanella,Giacomo Gorini,Ramona Moles,Anna Gutowska,Guido Ferrari,Alexei V. Lobanov,David C. Montefiori,George W. Nelson,Margaret C. Cam,Marita Chakhtoura,Elias K. Haddad,Melvin N. Doster,Katherine McKinnon,Sophia Brown,David Venzon,Hyoyoung Choo-Wosoba,Matthew W. Breed,Kristin E. Killoran,Joshua A. Kramer,Leonid Margolis,Rafick Pierre Sekaly,Gordon L. Hager,Genoveffa Franchini +34 more
TL;DR: In this paper , the efficacy of DNA/ALVAC/gp120/alum vaccines, based on V2-specific antibodies mediating apoptosis of infected cells (V2-ADCC), is complemented by efferocytosis, a cyclic AMP (cAMP)-dependent antiphlogistic engulfment of apoptotic cells by CD14+ monocytes.
Journal ArticleDOI
SMYD3 represses tumor-intrinsic interferon response in HPV-negative squamous cell carcinoma of the head and neck.
Nupur Nigam,B. Bernard,Samantha Sevilla,Sohoung Kim,Mohd Saleem Dar,Daniel Tsai,Yvette Robbins,Kyunghee Burkitt,Cem Sievers,Clint T. Allen,Richard L. Bennett,T. T. Tettey,Benjamin Carter,Lorenzo Rinaldi,Mark W. Lingen,Houssein Abdul Sater,Elijah F. Edmondson,Arfa Moshiri,Abbas Hakeem Saeed,Hui-Teng Cheng,Xiaolin Luo,Kevin Brennan,Vishal N. Koparde,Chen Chen,Sudipto Das,Thorkell Andresson,Abdalla Abdelmaksoud,Madhavi Murali,Seiji Sakata,Kengo Takeuchi,Raj Chari,Yusuke Nakamura,Ravindra Uppaluri,John B. Sunwoo,Carter Van Waes,Jonathan D. Licht,Gordon L. Hager,Vassiliki Saloura +37 more
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Pd07-12 identification of chromatin signatures predictive of prostate cancer progression
Michael B. Rothberg,Jacob J. Enders,Cheyenne Williams,Michael Daneshvar,Nitin Yerram,Sohoung Kim,Saori Fujiwara,Lorenzo Rinaldi,Songjoon Baek,Luke P. O'Connor,Qizong Kim,Patrick T. Gomella,Maria Merino,Bradford J. Wood,Peter Choyke,Baris Turkbey,Gordon Hager,Peter A. Pinto +17 more
TL;DR: Rothberg et al. as discussed by the authors identified chromatin landscape signatures predictive for low grade, high grade, and progressed prostate cancer to characterize patients at risk for aggressive disease after initial biopsy.