Evidence map›Paper›PMID 19805314›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2009

Tracking insertion mutants within libraries by deep sequencing and a genome-wide screen for Haemophilus genes required in the lung.

Jeffrey D Gawronski, Sandy M S Wong, Georgia Giannoukos, Doyle V Ward, Brian J Akerley

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 246 papers.

0numbers the graph read from it
0cells of the map it votes in
246citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

246 citing papers in PubMed, 376 citations in OpenAlex.

  1. Trial
  2. Review
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  4. Genome microbiology at 20 years: who we are and where we are going.DNA research : an international journal for rapid publication of reports on genes and genomes · 2026
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  16. Microbial genomics · 2025
    Article
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  19. UnravelingmSystems · 2025
    Article
  20. Article

186 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

5 authors at 2 institutions in 1 country.

Jeffrey D GawronskiDepartment of Molecular Genetics and Microbiology, University of Massachusetts Medical School, 55 Lake Avenue North, S6-242, Worcester, MA 01655, USA.
Sandy M S Wong
Georgia Giannoukos
Doyle V Ward
Brian J Akerley
University of Massachusetts Chan Medical School · USBroad Institute · US

Funding

Global regulatory interactions in bacterial pathogenesisR01AI049437 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI AKERLEY, BRIAN J. · 2002 to 2006
$1.9M
NIAID NIH HHS 1R01-AI49437NIAID NIH HHS HHSN266200400001CNIAID NIH HHS R01 AI049437
6 · The paper itself

Abstract

Rapid genome-wide identification of genes required for infection would expedite studies of bacterial pathogens. We developed genome-scale "negative selection" technology that combines high-density transposon mutagenesis and massively parallel sequencing of transposon/chromosome junctions in a mutant library to identify mutants lost from the library after exposure to a selective condition of interest. This approach was applied to comprehensively identify Haemophilus influenzae genes required to delay bacterial clearance in a murine pulmonary model. Mutations in 136 genes resulted in defects in vivo, and quantitative estimates of fitness generated by this technique were in agreement with independent validation experiments using individual mutant strains. Genes required in the lung included those with characterized functions in other models of H. influenzae pathogenesis and genes not previously implicated in infection. Genes implicated in vivo have reported or potential roles in survival during nutrient limitation, oxidative stress, and exposure to antimicrobial membrane perturbations, suggesting that these conditions are encountered by H. influenzae during pulmonary infection. The results demonstrate an efficient means to identify genes required for bacterial survival in experimental models of pathogenesis, and this approach should function similarly well in selections conducted in vitro and in vivo with any organism amenable to insertional mutagenesis.

Indexed as

AnimalsChromosome MappingChromosomes, BacterialDNA Transposable ElementsGenes, BacterialGenome, BacterialGenome-Wide Association StudyGenomic LibraryHaemophilus InfectionsHaemophilus influenzaeLungMiceMutagenesis, InsertionalMutationDNA Transposable Elements

Identifiers

PMID19805314
PMCPMC2752563
OpenAlexW2105546078

What OpenQuestion holds

Textmetadata
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.