Evidence map›Paper›PMID 21185072›Full record

ArticleCell2011

Phenotypic landscape of a bacterial cell.

Robert J Nichols, Saunak Sen, Yoe Jin Choo, Pedro Beltrao, Matylda Zietek, Rachna Chaba, Sueyoung Lee, Krystyna M Kazmierczak, Karis J Lee, Angela Wong and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 438 papers.

0numbers the graph read from it
0cells of the map it votes in
438citing papers in PubMed
18.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

438 citing papers in PubMed, 746 citations in OpenAlex.

  1. Article
  2. The phenotypic landscape of the model firmicuteProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  12. Review
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378 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Robert J NicholsUniversity of California, San Francisco, 94143, USA.
Saunak Sen
Yoe Jin Choo
Pedro Beltrao
Matylda Zietek
Rachna Chaba
Sueyoung Lee
Krystyna M Kazmierczak
Karis J Lee
Angela Wong
Michael Shales
Susan Lovett
Malcolm E Winkler
Nevan J Krogan
Athanasios Typas
Carol A Gross
University of California, San Francisco · USQB3 · USIndiana University Bloomington · USBrandeis University · US

Funding

UCSF INTEGRATED DDS-PHD TRAINING PROGRAMT32DE007306 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Yukiko Nakano · 1996 to 2026
$15.4M
REGULATION OF THE HEAT-SHOCK RESPONSE IN E COLIR01GM036278 · NIGMS · UNIVERSITY OF WISCONSIN MADISON · PI GROSS, CAROL ANNE · 1986 to 2016
$5.2M
Signal Transduction by Essential VicRKX in PneumococcusR01AI060744 · NIAID · TRUSTEES OF INDIANA UNIVERSITY · PI WINKLER, MALCOLM E. · 2006 to 2010
$1.8M
Global Genetic Interaction Profiling in ProkaryotesR01GM085697 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, CAROL ANNE · 2008 to 2011
$1.6M
Statistical Methods for Experimental Genome PopulationsR01GM078338 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEN, SAUNAK · 2007 to 2011
$1.1M
Probing the Function and Evolution of the Bacterial Envelope ArchitectureK99GM092984 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI TYPAS, ATHANASIOS · 2010 to 2011
$131k
Functional genomics analysis of antibiotic action and envelope biology in E. coliF31DE020206 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NICHOLS, ROBERT J · 2010 to 2011
$65k
NIAID NIH HHS AI060744NIAID NIH HHS R01 AI060744NIDCR NIH HHS F31 DE020206NIDCR NIH HHS F31 DE020206-01NIDCR NIH HHS T32 DE007306NIGMS NIH HHS GM078338NIGMS NIH HHS K99 GM092984NIGMS NIH HHS K99GM092984NIGMS NIH HHS R01 GM036278NIGMS NIH HHS R01 GM078338NIGMS NIH HHS R01 GM085697
6 · The paper itself

Abstract

The explosion of sequence information in bacteria makes developing high-throughput, cost-effective approaches to matching genes with phenotypes imperative. Using E. coli as proof of principle, we show that combining large-scale chemical genomics with quantitative fitness measurements provides a high-quality data set rich in discovery. Probing growth profiles of a mutant library in hundreds of conditions in parallel yielded > 10,000 phenotypes that allowed us to study gene essentiality, discover leads for gene function and drug action, and understand higher-order organization of the bacterial chromosome. We highlight new information derived from the study, including insights into a gene involved in multiple antibiotic resistance and the synergy between a broadly used combinatory antibiotic therapy, trimethoprim and sulfonamides. This data set, publicly available at http://ecoliwiki.net/tools/chemgen/, is a valuable resource for both the microbiological and bioinformatic communities, as it provides high-confidence associations between hundreds of annotated and uncharacterized genes as well as inferences about the mode of action of several poorly understood drugs.

Indexed as

GenomicsEscherichia coliGene DeletionGene Expression ProfilingGenome, BacterialMutation

Identifiers

PMID21185072
PMCPMC3060659
OpenAlexW2048593866

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.