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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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Programmable cells: Interfacing natural and engineered gene networks

Hideki Kobayashi, +6 more
- 01 Jun 2004 - 
TL;DR: This work employs a modular design strategy to create Escherichia coli strains where a genetic toggle switch is interfaced with: the SOS signaling pathway responding to DNA damage, and a transgenic quorum sensing signaling pathway from Vibrio fischeri.
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Next-Generation Machine Learning for Biological Networks

Diogo M. Camacho, +6 more
- 14 Jun 2018 - 
TL;DR: A primer on machine learning for life scientists is provided, including an introduction to deep learning, which could impact disease biology, drug discovery, microbiome research, and synthetic biology.
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Computational studies of gene regulatory networks: in numero molecular biology

Jeff Hasty, +3 more
- 01 Apr 2001 - 
TL;DR: The implications of the underlying logic of genetic networks are difficult to deduce through experimental techniques alone, and successful approaches will probably involve the union of new experiments and computational modelling techniques.
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Toehold Switches: De-Novo-Designed Regulators of Gene Expression

Alexander A. Green, +4 more
- 06 Nov 2014 - 
TL;DR: A class of de-novo-designed prokaryotic riboregulators called toehold switches are reported that activate gene expression in response to cognate RNAs with arbitrary sequences that represent a versatile and powerful platform for regulation of translation.
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Synthetic gene networks that count.

Ari E. Friedland, +7 more
- 29 May 2009 - 
TL;DR: Two complementary synthetic genetic counters in Escherichia coli can count up to three induction events: the first, a riboregulated transcriptional cascade, and the second, a recombinase-based cascade of memory units that permit counting of varied user-defined inputs over a range of frequencies and can be expanded to count higher numbers.