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Graham C. Walker

Researcher at Massachusetts Institute of Technology

Publications -  386
Citations -  39252

Graham C. Walker is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Sinorhizobium meliloti & DNA polymerase. The author has an hindex of 93, co-authored 381 publications receiving 36875 citations. Previous affiliations of Graham C. Walker include Norwich Research Park & University of California, Santa Cruz.

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Rev7 dimerization is important for assembly and function of the Rev1/Polζ translesion synthesis complex.

TL;DR: It is demonstrated that Rev7 uses the conventional HORMA dimerization interface both to form a homodimer when tethered by the two RBMs in Rev3 and to heterodimerize with other HORMA domains, Mad2 and p31comet, which contribute to the structural biology of DNA replication and repair and to understanding of the important class of HORMA proteins.
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The genetic requirements for UmuDC-mediated cold sensitivity are distinct from those for SOS mutagenesis.

TL;DR: Analysis of the cellular morphology of strains that exhibit cold sensitivity for growth led to the finding that constitutive expression of the umuDC operon causes a novel form of sulA- and sfiC-independent filamentation at 30 degrees C, supporting the conclusion that intact UmuD is capable of conferring cold sensitivity in the presence of UmuC.
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The Succinyl and Acetyl Modifications of Succinoglycan Influence Susceptibility of Succinoglycan to Cleavage by the Rhizobium meliloti Glycanases ExoK and ExsH

TL;DR: The molecular weight distribution of succinoglycan in R. meliloti cultures is determined by both the levels of ExoK and ExsH glycanase expression and the susceptibility of succ inoglycan to cleavage.
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Robustness encoded across essential and accessory replicons of the ecologically versatile bacterium Sinorhizobium meliloti

TL;DR: This work highlights the many functional dependencies and epistatic relationships that may arise between bacterial replicons and across a genome, while also demonstrating how Tn-seq and metabolic modeling can be used together to yield insights not obtainable by either method alone.