Evidence map›Paper›PMID 19767758›Full record

ArticleNature methods2009

Tn-seq: high-throughput parallel sequencing for fitness and genetic interaction studies in microorganisms.

Tim van Opijnen, Kip L Bodi, Andrew Camilli

Abstract read
In one paragraph

Article in Nature methods, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 625 papers.

0numbers the graph read from it
0cells of the map it votes in
625citing papers in PubMed
9.9field-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

625 citing papers in PubMed, 983 citations in OpenAlex.

  1. Article
  2. Review
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  9. 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
    Article
  10. Review
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  14. Review
  15. Article
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  18. Oligonucleotide genetics forbioRxiv : the preprint server for biology · 2026
    Article
  19. Article
  20. Article

565 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

3 authors at 2 institutions in 1 country.

Tim van OpijnenHoward Hughes Medical Institute, and Department of Molecular Biology and Microbiology, Tufts University School of Medicine, Boston, Massachusetts, USA.
Kip L Bodi
Andrew Camilli
Tufts University · USHoward Hughes Medical Institute · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Biological pathways are structured in complex networks of interacting genes. Solving the architecture of such networks may provide valuable information, such as how microorganisms cause disease. Here we present a method (Tn-seq) for accurately determining quantitative genetic interactions on a genome-wide scale in microorganisms. Tn-seq is based on the assembly of a saturated Mariner transposon insertion library. After library selection, changes in frequency of each insertion mutant are determined by sequencing the flanking regions en masse. These changes are used to calculate each mutant's fitness. Using this approach, we determined fitness for each gene of Streptococcus pneumoniae, a causative agent of pneumonia and meningitis. A genome-wide screen for genetic interactions of five query genes identified both alleviating and aggravating interactions that could be divided into seven distinct categories. Owing to the wide activity of the Mariner transposon, Tn-seq has the potential to contribute to the exploration of complex pathways across many different species.

Indexed as

Models, GeneticChromosome MappingComputer SimulationDNA, BacterialProteomeSequence Analysis, DNASignal TransductionStreptococcus pneumoniaeDNA, BacterialProteome

Identifiers

PMID19767758
PMCPMC2957483
OpenAlexW2030924818

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.