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Lars Barquist

Showing results (41-50 of 93) with videos related to

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Msystems|December 5, 2019
Conditional Hfq Association with Small Noncoding RNAs in Pseudomonas aeruginosa Revealed through Comparative UV Cross-Linking Immunoprecipitation Followed by High-Throughput SequencingKotaro Chihara, Thorsten Bischler, Lars Barquist, et al.
Cell Host & Microbe|June 11, 2022
A target expression threshold dictates invader defense and prevents autoimmunity by CRISPR-Cas13Elena Vialetto, Yanying Yu, Scott P Collins, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 25, 2024
Improved RNA stability estimation through Bayesian modeling reveals most <i>Salmonella</i> transcripts have subminute half-livesLaura Jenniches, Charlotte Michaux, Linda Popella, et al.
Nucleic Acids Research|March 18, 2024
Expanding the flexibility of base editing for high-throughput genetic screens in bacteriaSandra Gawlitt, Scott P Collins, Yanying Yu, et al.
Nature Reviews. Genetics|June 14, 2020
A decade of advances in transposon-insertion sequencingAmy K Cain, Lars Barquist, Andrew L Goodman, et al.
The EMBO Journal|April 6, 2016
Global RNA recognition patterns of post-transcriptional regulators Hfq and CsrA revealed by UV crosslinking in vivoErik Holmqvist, Patrick R Wright, Lei Li, et al.
Plos One|August 12, 2009
Evolutionary modeling and prediction of non-coding RNAs in DrosophilaRobert K Bradley, Andrew V Uzilov, Mitchell E Skinner, et al.
RNA (New York, N.Y.)|February 27, 2024
A comparative analysis of peptide-delivered antisense antibiotics using diverse nucleotide mimicsChandradhish Ghosh, Linda Popella, V Dhamodharan, et al.
Nature Communications|March 2, 2026
Stress-induced iron-sulfur cluster damage as a conserved trigger of the bacterial stringent responseEva Michaud, Lorena Ricci, Claire Lallement, et al.
Genome Biology|January 10, 2024
Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integrationYanying Yu, Sandra Gawlitt, Lisa Barros de Andrade E Sousa, et al.
Pageof 10

Showing results (41-50 of 93) with videos related to

Sort By:
Pageof 10
Msystems|December 5, 2019
Conditional Hfq Association with Small Noncoding RNAs in Pseudomonas aeruginosa Revealed through Comparative UV Cross-Linking Immunoprecipitation Followed by High-Throughput SequencingKotaro Chihara, Thorsten Bischler, Lars Barquist, et al.
Cell Host & Microbe|June 11, 2022
A target expression threshold dictates invader defense and prevents autoimmunity by CRISPR-Cas13Elena Vialetto, Yanying Yu, Scott P Collins, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 25, 2024
Improved RNA stability estimation through Bayesian modeling reveals most <i>Salmonella</i> transcripts have subminute half-livesLaura Jenniches, Charlotte Michaux, Linda Popella, et al.
Nucleic Acids Research|March 18, 2024
Expanding the flexibility of base editing for high-throughput genetic screens in bacteriaSandra Gawlitt, Scott P Collins, Yanying Yu, et al.
Nature Reviews. Genetics|June 14, 2020
A decade of advances in transposon-insertion sequencingAmy K Cain, Lars Barquist, Andrew L Goodman, et al.
The EMBO Journal|April 6, 2016
Global RNA recognition patterns of post-transcriptional regulators Hfq and CsrA revealed by UV crosslinking in vivoErik Holmqvist, Patrick R Wright, Lei Li, et al.
Plos One|August 12, 2009
Evolutionary modeling and prediction of non-coding RNAs in DrosophilaRobert K Bradley, Andrew V Uzilov, Mitchell E Skinner, et al.
RNA (New York, N.Y.)|February 27, 2024
A comparative analysis of peptide-delivered antisense antibiotics using diverse nucleotide mimicsChandradhish Ghosh, Linda Popella, V Dhamodharan, et al.
Nature Communications|March 2, 2026
Stress-induced iron-sulfur cluster damage as a conserved trigger of the bacterial stringent responseEva Michaud, Lorena Ricci, Claire Lallement, et al.
Genome Biology|January 10, 2024
Improved prediction of bacterial CRISPRi guide efficiency from depletion screens through mixed-effect machine learning and data integrationYanying Yu, Sandra Gawlitt, Lisa Barros de Andrade E Sousa, et al.
Pageof 10