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Rob Knight

Researcher at University of California, San Diego

Publications -  1188
Citations -  322479

Rob Knight is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Microbiome & Biology. The author has an hindex of 201, co-authored 1061 publications receiving 253207 citations. Previous affiliations of Rob Knight include Anschutz Medical Campus & University of Sydney.

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Differential Activation of Hepatic Invariant NKT Cell Subsets Plays a Key Role in Progression of Nonalcoholic Steatohepatitis

TL;DR: It is indicated that the differential activation of iNKT cells play a key role in mediating diet-induced hepatic steatosis and fibrosis in mice and its potential involvement in NASH progression in humans.
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pH is a good predictor of the distribution of anoxygenic purple phototrophic bacteria in Arctic soils

TL;DR: It is shown that the AnPPB community in Arctic soils is as diverse and abundant as that in lower latitudes and pH could be a key factor driving phylogenetic diversity of not just overall bacterial communities but also of discrete functional guilds of bacteria in terrestrial ecosystems.
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Impact of Ileocecal Resection and Concomitant Antibiotics on the Microbiome of the Murine Jejunum and Colon

TL;DR: The changes in jejunal and colonic microbiota induced by ICR and concomitant antibiotic injection may be considered as potential regulators of post-surgical adaptive growth or function, and in a setting of active IBD, potential contributors to post-Surgical pathophysiology of disease recurrence.
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Ultralow-input single-tube linked-read library method enables short-read second-generation sequencing systems to routinely generate highly accurate and economical long-range sequencing information.

TL;DR: A single-tube Transposase Enzyme Linked Long-read Sequencing (TELL-seqTM) technology is developed, which enables a low-cost, high-accuracy and high-throughput short-read second-generation sequencer to generate over 100 kb long-range sequencing information with as little as 0.1 ng input material.