scispace - formally typeset
M

Mark Gerstein

Researcher at Yale University

Publications -  802
Citations -  172183

Mark Gerstein is an academic researcher from Yale University. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 168, co-authored 751 publications receiving 149578 citations. Previous affiliations of Mark Gerstein include Rutgers University & Structural Genomics Consortium.

Papers
More filters
Journal ArticleDOI

Proton sensitivity of ASIC1 appeared with the rise of fishes by changes of residues in the region that follows TM1 in the ectodomain of the channel

TL;DR: Cloned and functionally characterized ASIC1 from different species of the chordate lineage and observed that ASIC1s from early vertebrates were proton insensitive in spite of a high degree of amino acid conservation with their mammalian counterparts, implying that agonists different from protons activate ASIC1 in lower vertebrates.
Journal ArticleDOI

Total ancestry measure

TL;DR: The total ancestry measure is based on counting the number of leaf nodes that share exactly the same set of 'higher up' category nodes in comparison to the total number of classified pairs and is associated with a power-law distribution, allowing for the quick assessment of the statistical significance of shared functional annotations.
Journal ArticleDOI

A genomic analysis of RNA polymerase II modification and chromatin architecture related to 3′ end RNA polyadenylation

TL;DR: This study reveals extensive sites of poly(A) addition and provides insights into the events that occur during 3' end formation, and suggests transcription termination loss of histone 3 lysine 36 methylation and later release of RNA polymerase.
Journal ArticleDOI

Decoding neuroproteomics: integrating the genome, translatome and functional anatomy

TL;DR: Proteomics should be exploited to enhance high-throughput functional genomic analysis by tighter integration of data analyses and experimental strategies to achieve finer cellular and subcellular resolution in transcriptomic and proteomic studies of neural tissues are discussed.