J
James J. Collins
Researcher at Massachusetts Institute of Technology
Publications - 700
Citations - 105255
James J. Collins is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Synthetic biology & Population. The author has an hindex of 151, co-authored 669 publications receiving 89476 citations. Previous affiliations of James J. Collins include Baylor College of Medicine & University at Albany, SUNY.
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Journal ArticleDOI
Using Targeted Chromatin Regulators to Engineer Combinatorial and Spatial Transcriptional Regulation
Albert J. Keung,Albert J. Keung,Caleb J. Bashor,Caleb J. Bashor,Szilvia Kiriakov,James J. Collins,James J. Collins,James J. Collins,Ahmad S. Khalil,Ahmad S. Khalil +9 more
TL;DR: A synthetic biology approach to decipher the complexity of chromatin regulation by studying emergent transcriptional behaviors from engineered combinatorial, spatial, and temporal patterns of individual CRs.
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Next-generation biocontainment systems for engineered organisms
TL;DR: This work highlights recent advances in biocontainment and suggests a number of approaches for future development, which may be applied to overcome remaining challenges in safeguard implementation.
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Mortality patterns among workers exposed to acrylamide.
TL;DR: Analysis of mortality in a cohort of 8854 men examined from 1925 to 1983 showed no trend of increased risk of mortality from several cancer sites, and the hypothesis that acrylamide is a human carcinogen is supported.
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Microbial environments confound antibiotic efficacy
Henry H. Lee,James J. Collins +1 more
TL;DR: Leveraging chemical biology methodologies and systems-biology approaches for further studies of microbial environments may reveal a wealth of untapped targets for the development of novel compounds to counter the growing threat of resistant and tolerant bacterial infections.
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Using electrical noise to enhance the ability of humans to detect subthreshold mechanical cutaneous stimuli
TL;DR: It is suggested that an electrical noise-based technique could be used to improve tactile sensation in humans when the mechanical stimulus is around or below threshold, and input electrical noise can serve as a negative masker for subthreshold mechanical tactile stimuli.