Evidence map›Paper›PMID 23893486›Full record

ArticleGenetics2013

Integration profiling of gene function with dense maps of transposon integration.

Yabin Guo, Jung Min Park, Bowen Cui, Elizabeth Humes, Sunil Gangadharan, Stevephen Hung, Peter C FitzGerald, Kwang-Lae Hoe, Shiv I S Grewal, Nancy L Craig and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

43 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
  2. The power of many: when genetics met yeasts and high-throughput.Biological reviews of the Cambridge Philosophical Society · 2026
    Review
  3. Facile generation ofMicrobiology spectrum · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Yabin GuoSection on Eukaryotic Transposable Elements, Program in Cellular Regulation and Metabolism, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland 20892.
Jung Min Park
Bowen Cui
Elizabeth Humes
Sunil Gangadharan
Stevephen Hung
Peter C FitzGerald
Kwang-Lae Hoe
Shiv I S Grewal
Nancy L Craig
Henry L Levin
National Institutes of Health · USEunice Kennedy Shriver National Institute of Child Health and Human Development · USNational Cancer Institute · USChungnam National University · KRHoward Hughes Medical Institute · USJohns Hopkins University · US

Funding

Regulation And Function Of RetroelementsZIAHD001009 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI LEVIN, HENRY L. · 2009 to 2025
$21.8M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007337 · NIGMS · UNIVERSITY OF IOWA · PI GEYER, PAMELA K., LENTZ, STEVEN R · 1985 to 2020
$15.9M
Transposition of Tn7 and HermesR01GM076425 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI CRAIG, NANCY CRAIG · 2006 to 2009
$1.6M
Intramural NIH HHSNIGMS NIH HHS R01 GM076425NIGMS NIH HHS R01GM076425NIGMS NIH HHS T32 GM007337
6 · The paper itself

Abstract

Understanding how complex networks of genes integrate to produce dividing cells is an important goal that is limited by the difficulty in defining the function of individual genes. Current resources for the systematic identification of gene function such as siRNA libraries and collections of deletion strains are costly and organism specific. We describe here integration profiling, a novel approach to identify the function of eukaryotic genes based upon dense maps of transposon integration. As a proof of concept, we used the transposon Hermes to generate a library of 360,513 insertions in the genome of Schizosaccharomyces pombe. On average, we obtained one insertion for every 29 bp of the genome. Hermes integrated more often into nucleosome free sites and 33% of the insertions occurred in ORFs. We found that ORFs with low integration densities successfully identified the genes that are essential for cell division. Importantly, the nonessential ORFs with intermediate levels of insertion correlated with the nonessential genes that have functions required for colonies to reach full size. This finding indicates that integration profiles can measure the contribution of nonessential genes to cell division. While integration profiling succeeded in identifying genes necessary for propagation, it also has the potential to identify genes important for many other functions such as DNA repair, stress response, and meiosis.

Indexed as

Chromosome MappingDNA RepairDNA Transposable ElementsGenomeMeiosisMutagenesis, InsertionalNucleosomesOpen Reading FramesPhenotypeRNA, Small InterferingSchizosaccharomycesStress, PhysiologicalDNA Transposable ElementsNucleosomesRNA, Small InterferingHermesintegration profileSchizosaccharomyces pombeTransposon

Identifiers

PMID23893486
PMCPMC3781984
OpenAlexW2137395884

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.