Evidence map›Paper›PMID 23635712›Full record

ReviewRNA biology2013

Approaches to querying bacterial genomes with transposon-insertion sequencing.

Lars Barquist, Christine J Boinett, Amy K Cain

Abstract readReview
In one paragraph

Review in RNA biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
–field-weighted citation impact
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

96 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Gene dependence during mammalianMicrobial genomics · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Essential genes formSystems · 2024
    Article
  12. The role ofResearch square · 2024
    Article
  13. Gene essentiality in the solventogenicApplied and environmental microbiology · 2024
    Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

36 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.

Lars BarquistWellcome Trust Sanger Institute; Hinxton, Cambridge, UK; EMBL-European Bioinformatics Institute; Hinxton, Cambridge, UK.
Christine J Boinett
Amy K Cain

Funding

Medical Research Council G1100100Medical Research Council S1710Wellcome Trust WT098051
6 · The paper itself

Abstract

In this review, we discuss transposon-insertion sequencing, variously known in the literature as TraDIS, Tn-seq, INSeq, and HITS. By monitoring a large library of single transposon-insertion mutants with high-throughput sequencing, these methods can rapidly identify genomic regions that contribute to organismal fitness under any condition assayable in the laboratory with exquisite resolution. We discuss the various protocols that have been developed and methods for analysis. We provide an overview of studies that have examined the reproducibility and accuracy of these methods, as well as studies showing the advantages offered by the high resolution and dynamic range of high-throughput sequencing over previous methods. We review a number of applications in the literature, from predicting genes essential for in vitro growth to directly assaying requirements for survival under infective conditions in vivo. We also highlight recent progress in assaying non-coding regions of the genome in addition to known coding sequences, including the combining of RNA-seq with high-throughput transposon mutagenesis.

Indexed as

DNA Transposable ElementsGenome, BacterialMutagenesis, InsertionalComputational BiologyGenetic FitnessHigh-Throughput Nucleotide SequencingReproducibility of ResultsRNA, Long NoncodingDNA Transposable ElementsRNA, Long Noncodingbacteriaessential genessequencingsRNAsystems biologytransposon mutagenesis

Identifiers

PMID23635712
PMCPMC3849164

What OpenQuestion holds

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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.