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Amir Mitchell

Researcher at University of Massachusetts Medical School

Publications -  15
Citations -  1371

Amir Mitchell is an academic researcher from University of Massachusetts Medical School. The author has contributed to research in topics: Microbiome & Drug resistance. The author has an hindex of 10, co-authored 14 publications receiving 1081 citations. Previous affiliations of Amir Mitchell include Weizmann Institute of Science & Tel Aviv University.

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Adaptive Prediction of Environmental Changes by Microorganisms

TL;DR: It is shown that anticipation is an adaptive trait, because pre-exposure to the stimulus that typically appears early in the ecology improves the organism’s fitness when encountered with a second stimulus, and indicates that environmental anticipation may be ubiquitous in biology.
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Chromosomal duplication is a transient evolutionary solution to stress

TL;DR: It is shown that chromosomal duplications are first acquired as a crude solution to stress, yet only as transient solutions that are eliminated and replaced by more efficient solutions obtained at the individual gene level, which indicates that aneuploidy is a useful yet short-lived intermediate that facilitates further adaptation.
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The Cancer Microbiome: Distinguishing Direct and Indirect Effects Requires a Systemic View

TL;DR: Understanding the role of host-associated microbial communities in cancer systems will require a multidisciplinary approach combining microbial ecology, immunology, cancer cell biology, and computational biology - a systems biology approach.
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Cancer mutations and targeted drugs can disrupt dynamic signal encoding by the Ras-Erk pathway

TL;DR: Cancer mutations and targeted drugs can corrupt dynamic transmission properties in signaling pathways, shifting cellular response thresholds and changing cell decisions in a potentially pathological manner.
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Oscillatory stress stimulation uncovers an Achilles’ heel of the yeast MAPK signaling network

TL;DR: The findings demonstrate the value of non-natural dynamic perturbations in exposing hidden sensitivities of cellular regulatory networks, and identify similar fragility in other regulatory pathways.