Evidence map›Paper›PMID 20699145›Full record

ArticleMethods in enzymology2010

Gene trap mutagenesis in the mouse.

Roland H Friedel, Philippe Soriano

Abstract read
In one paragraph

Article in Methods in enzymology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.7field-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

31 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. Article
  8. Article
  9. Applications ofStem cells international · 2021
    Review
  10. Article
  11. TAOK3 is a MAP3K contributing to osteoblast differentiation and skeletal mineralization.Biochemical and biophysical research communications · 2020
    Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. AnG3 (Bethesda, Md.) · 2018
    Article
  17. Article
  18. Article
  19. Generation of a multipurposeDisease models & mechanisms · 2017
    Article
  20. RHEB1 expression in embryonic and postnatal mouse.Histochemistry and cell biology · 2016
    Article
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

2 authors at 1 institution in 1 country.

Roland H FriedelDepartment of Neurosurgery, Mount Sinai School of Medicine, New York, USA.
Philippe Soriano
Icahn School of Medicine at Mount Sinai · US

Funding

RETROVIRUSES AS PROBES FOR DEVELOPMENTR01HD024875 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SORIANO, PHILIPPE M · 1989 to 2010
$4.5M
NICHD NIH HHS R01 HD024875
6 · The paper itself

Abstract

Gene trapping in mouse embryonic stem (ES) cells is an efficient method for the mutagenesis of the mammalian genome. Insertion of a gene trap vector disrupts gene function, reports gene expression, and provides a convenient tag for the identification of the insertion site. The trap vector can be delivered to ES cells by electroporation of a plasmid, by retroviral infection, or by transposon-mediated insertion. Recent developments in trapping technology involve the utilization of site-specific recombination sites, which allow the induced modification of trap alleles in vitro and in vivo. Gene trapping strategies have also been successfully developed to screen for genes that are acting in specific biological pathways. In this chapter, we review different applications of gene trapping, and we provide detailed experimental protocols for gene trapping in ES cells by retroviral and transposon gene trap vectors.

Indexed as

AnimalsDNA Transposable ElementsElectroporationEmbryonic Stem CellsGenetic VectorsMiceMutagenesisDNA Transposable Elements

Identifiers

PMID20699145
PMCPMC5659187
OpenAlexW180299404

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.