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Matthew J. Marton

Researcher at National Institutes of Health

Publications -  25
Citations -  18056

Matthew J. Marton is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Gene & DNA microarray. The author has an hindex of 17, co-authored 23 publications receiving 17472 citations. Previous affiliations of Matthew J. Marton include Agilent Technologies.

Papers
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Journal ArticleDOI

GCN1, a translational activator of GCN4 in Saccharomyces cerevisiae, is required for phosphorylation of eukaryotic translation initiation factor 2 by protein kinase GCN2.

TL;DR: It is proposed that GCN1 is not needed forGCN2 kinase activity per se but is required for in vivo activation of GCN2 in response to the starvation signal, uncharged tRNA.
Journal ArticleDOI

Role of scaffolds in MAP kinase pathway specificity revealed by custom design of pathway-dedicated signaling proteins.

TL;DR: Insight is given into the mechanisms and physiological importance of pathway insulation and the signaling properties of kinase fusions support a model in which scaffold proteins dictate substrate choice and promote pathway specificity by presenting preferred substrates in high local concentration.
Journal ArticleDOI

Identification of genes over-expressed in small cell lung carcinoma using suppression subtractive hybridization and cDNA microarray expression analysis.

TL;DR: Nine genes are discussed, which showed the most promising SCLC tumor to normal tissue differential expression profiles, including seven known and two novel genes.
Journal ArticleDOI

Functional Interactions between Yeast Translation Eukaryotic Elongation Factor (eEF) 1A and eEF3

TL;DR: In vivo interactions between eEF3 and eEF1A are critical for protein synthesis, and a temperature-sensitive allele of the YEF3 gene is identified, which increases sensitivity to aminoglycosidic drugs, causes a 50% reduction of total protein synthesis at permissive temperatures, and slows run-off of polyribosomes.
Patent

Methods for determining therapeutic index from gene expression profiles

TL;DR: In this paper, a plurality of cellular constituents are measured to determine the activity of a drug on a target pathway and at least one off-target pathway, and a drug specificity is determined by comparing the target and off target activities of the drug.