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Thomas H. Segall-Shapiro

Researcher at Massachusetts Institute of Technology

Publications -  22
Citations -  3879

Thomas H. Segall-Shapiro is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 15, co-authored 20 publications receiving 3375 citations. Previous affiliations of Thomas H. Segall-Shapiro include University of California, San Francisco & California Institute of Technology.

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Creation of a Bacterial Cell Controlled by a Chemically Synthesized Genome

TL;DR: The design, synthesis, and assembly of the 1.08–mega–base pair Mycoplasma mycoides JCVI-syn1.0 genome starting from digitized genome sequence information and its transplantation into a M. capricolum recipient cell to create new cells that are controlled only by the synthetic chromosome are reported.
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Escherichia coli "Marionette" strains with 12 highly optimized small-molecule sensors.

TL;DR: A directed evolution approach was applied to optimize a set of 12 small-molecule-responsive biosensors, which led to the engineering of “Marionette” strains of Escherichia coli incorporating these sensors for biotechnological applications.
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Modular control of multiple pathways using engineered orthogonal T7 polymerases

TL;DR: A design strategy to genetically separate the sensing/circuitry functions from the pathway to be controlled by having the output of the circuit drive the expression of a polymerase, which then activates the pathway from polymerase-specific promoters.
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A ‘resource allocator’ for transcription based on a highly fragmented T7 RNA polymerase

TL;DR: It is shown that T7 RNAP can be divided into four fragments that have to be co‐expressed to function, and a resource allocator is built that sets the core fragment concentration, which is then shared by multiple σ fragments.

Design of orthogonal genetic switches based on a crosstalk map of σs, anti-σs, and promoters

TL;DR: The promoter specificities of extracytoplasmic function (ECF) σs as well as the specificity of their interaction with anti‐σs are mapped to create a genome‐scale resource of the properties of ECF ρ and a resource for synthetic biology, where this set of well‐characterized regulatory parts will enable the construction of sophisticated gene expression programs.