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Sharon Sookhai-Mahadeo

Johns Hopkins University

Publishes on Fungal and yeast genetics research, Bioinformatics and Genomic Networks, Gene expression and cancer classification. 7 papers and 8.9k citations.

7Publications
8.9kTotal Citations

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Top publicationsby citations

Functional Characterization of the <i>S. cerevisiae</i> Genome by Gene Deletion and Parallel Analysis
Cited by 4k

The functions of many open reading frames (ORFs) identified in genome-sequencing projects are unknown. New, whole-genome approaches are required to systematically determine their function. 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). Of the deleted ORFs, 17 percent were essential for viability in rich medium. The phenotypes of more than 500 deletion strains were assayed in parallel. Of the deletion strains, 40 percent showed quantitative growth defects in either rich or minimal medium.

A Robust Toolkit for Functional Profiling of the Yeast Genome
Xuewen Pan, Philip Hieter, Sharon Sookhai-Mahadeo et al.|UNC Libraries|2021
Cited by 16Open Access

AbstractStudy of mutant phenotypes is a fundamental method for understanding gene function. The construction of a near-complete collection of yeast knockouts (YKO) and the unique molecular barcodes (or TAGs) that identify each strain has enabled quantitative functional profiling of Saccharomyces cerevisiae. By using these TAGs and the SGA reporter, MFA1pr-HIS3, which facilitates conversion of heterozygous diploid YKO strains into haploid mutants, we have developed a set of highly efficient microarray-based techniques, collectively referred as dSLAM (diploid-based synthetic lethality analysis on microarrays), to probe genome-wide gene-chemical and gene-gene interactions. Direct comparison revealed that these techniques are more robust than existing methods in functional profiling of the yeast genome. Widespread application of these tools will elucidate a comprehensive yeast genetic network.