Evidence map›Paper›PMID 28580195›Full record

ArticleMobile genetic elements2017

Physical enrichment of transposon mutants from saturation mutant libraries using the TraDISort approach.

Ian T Paulsen, Amy K Cain, Karl A Hassan

Open access · diamondAbstract readComment
In one paragraph

Article in Mobile genetic elements, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 3 countries.

Ian T PaulsenDepartment of Chemistry and Biomolecular Science, Macquarie University, North Ryde, NSW, Australia.
Amy K CainDepartment of Chemistry and Biomolecular Science, Macquarie University, North Ryde, NSW, Australia.
Karl A HassanDepartment of Chemistry and Biomolecular Science, Macquarie University, North Ryde, NSW, Australia.
Macquarie University · AUUniversity of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposon-insertion sequencing methods are finding their way into the molecular toolbox of many fields of microbiology. These methods can identify the genomic locations and density of transposon insertions in saturated transposon mutant libraries and can be used to make inferences on gene function. For example, where no insertions or very few insertions are identified within a gene in a mutant library grown under permissive conditions, the gene may be essential. Furthermore, where mutations are enriched or lost in a gene after passaging the library through a selective process, the gene is likely to be involved in phenotypes linked to the process. Typically, a fitness based selection such as a stress condition is used in these experiments and the processed sequencing data are used to identify genes required for fitness under the selection. Our research team recently expanded the utility of the transposon directed insertion sequencing (TraDIS) method by applying a physical separation of a transposon mutant library mediated by fluorescence activated cell sorting, rather than a fitness-based selection. This approach, which we have named "TraDISort" is significant because it allows the study of phenotypes that are not linked to cell survival. The TraDISort approach has a broad range of future applications, in drug development, metabolic engineering and in studies of basic bacterial cell physiology.

Indexed as

biosensorcell sortingFACSfluorescencereporter constructtransposon sequencing

Identifiers

PMID28580195
PMCPMC5443658
OpenAlexW2602204377

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.