K
Kexin Yu
Researcher at Johns Hopkins University School of Medicine
Publications - 7
Citations - 8565
Kexin Yu is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Medicine & Genome. The author has an hindex of 3, co-authored 3 publications receiving 8089 citations. Previous affiliations of Kexin Yu include Johns Hopkins University.
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Journal ArticleDOI
Functional profiling of the Saccharomyces cerevisiae genome.
Guri Giaever,Angela M. Chu,Li Ni,Carla Connelly,Linda Riles,Steeve Veronneau,Sally Dow,Ankuta Lucau-Danila,Keith Anderson,Bruno André,Adam P. Arkin,Anna Astromoff,Mohamed El Bakkoury,Rhonda Bangham,Rocío Benito,Sophie Brachat,Stefano Campanaro,Matt Curtiss,Karen Davis,Adam M. Deutschbauer,K. D. Entian,Patrick Flaherty,Françoise Foury,David J. Garfinkel,Mark Gerstein,Deanna Gotte,Ulrich Güldener,Johannes H. Hegemann,Svenja Hempel,Zelek S. Herman,Daniel F. Jaramillo,Diane E. Kelly,Steven L. Kelly,Peter Kötter,Darlene LaBonte,David C. Lamb,Ning Lan,Hong Liang,Hong Liao,Lucy Y. Liu,Chuanyun Luo,Marc Lussier,Rong Mao,Patrice Menard,Siew Loon Ooi,José L. Revuelta,Christopher J. Roberts,Matthias Rose,Petra Ross-Macdonald,Bart Scherens,Greg Schimmack,Brenda Shafer,Daniel D. Shoemaker,Sharon Sookhai-Mahadeo,Reginald Storms,Jeffrey N. Strathern,Giorgio Valle,Marleen Voet,Guido Volckaert,Ching Yun Wang,Teresa R. Ward,Julie Wilhelmy,Elizabeth A. Winzeler,Yonghong Yang,Grace Yen,Elaine M. Youngman,Kexin Yu,Howard Bussey,Jef D. Boeke,Michael Snyder,Peter Philippsen,Ronald W. Davis,Mark Johnston +72 more
TL;DR: It is shown that previously known and new genes are necessary for optimal growth under six well-studied conditions: high salt, sorbitol, galactose, pH 8, minimal medium and nystatin treatment, and less than 7% of genes that exhibit a significant increase in messenger RNA expression are also required for optimal Growth in four of the tested conditions.
Journal ArticleDOI
Functional Characterization of the S. cerevisiae Genome by Gene Deletion and Parallel Analysis
Elizabeth A. Winzeler,Daniel D. Shoemaker,Anna Astromoff,Hong Liang,Keith Anderson,Bruno André,Rhonda Bangham,Rocío Benito,Jef D. Boeke,Howard Bussey,Angela M. Chu,Carla Connelly,Karen Davis,Fred S. Dietrich,Sally Dow,Mohamed El Bakkoury,Françoise Foury,Stephen H. Friend,Erik Gentalen,Guri Giaever,Johannes H. Hegemann,Ted Jones,Michael T. Laub,Hong Liao,Nicole Liebundguth,David J. Lockhart,Anca Lucau-Danila,Marc Lussier,Nasiha M'Rabet,Patrice Menard,Michael Mittmann,Chai Pai,Corinne Rebischung,José L. Revuelta,Linda Riles,Christopher J. Roberts,Petra Ross-Macdonald,Bart Scherens,Michael Snyder,Sharon Sookhai-Mahadeo,Reginald Storms,Steeve Veronneau,Marleen Voet,Guido Volckaert,Teresa R. Ward,Robert W. Wysocki,Grace Yen,Kexin Yu,Katja Zimmermann,Peter Philippsen,Mark Johnston,Ronald W. Davis +51 more
TL;DR: A total of 6925 Saccharomyces cerevisiae strains were constructed, by a high-throughput strategy, each with a precise deletion of one of 2026 ORFs (more than one-third of the ORFs in the genome), finding that 17 percent were essential for viability in rich medium.
Journal ArticleDOI
Genetic selection of intragenic suppressor mutations that reverse the effect of common p53 cancer mutations
TL;DR: Several lines of evidence suggest that the presence of the wild‐type tumor suppressor gene p53 in human cancers correlates well with successful anti‐cancer therapy, and Restoration of wild‐ type p53 function to cancer cells that have lost it might improve treatment outcomes.
Journal ArticleDOI
Aggregated Structures of Two-Dimensional Covalent Organic Frameworks
Chengjun Kang,Zhaoqiang Zhang,Adam K. Usadi,David C. Calabro,Lisa Saunders Baugh,Kexin Yu,Yuxiang Wang,Dan Zhao +7 more
TL;DR: In this paper , the authors used 13C solid-state nuclear magnetic resonance (13C SSNMR) to distinguish different aggregated structures in a 2D COF, and showed that COF layer stacking creates confined spaces that enable intimate interactions between atoms/groups from adjacent layers.
Journal ArticleDOI
Efficient Splitting of Alkane Isomers by a Bismuth-based Metal-Organic Framework with Auxetic Reentrant Pore Structures.
TL;DR: In this paper , the authors report the highly efficient separation of hexane isomers by combing molecular recognition and size-sieving in a bismuth-based MOF, UU-200.