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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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Functional profiling of the Saccharomyces cerevisiae genome.

Guri Giaever, +72 more
- 25 Jul 2002 - 
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

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

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.
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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.