Evidence map›Paper›PMID 16839184›Full record

ReviewPLoS genetics2006

Modeling chromosomes in mouse to explore the function of genes, genomic disorders, and chromosomal organization.

Véronique Brault, Patricia Pereira, Arnaud Duchon, Yann Hérault

Open access · goldAbstract readReview
In one paragraph

Review in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  9. Dissecting Alzheimer disease in Down syndrome using mouse models.Frontiers in behavioral neuroscience · 2015
    Review
  10. Article
  11. Review
  12. Generation and characterization of a novel Cyp2a(4/5)bgs-null mouse model.Drug metabolism and disposition: the biological fate of chemicals · 2013
    Article
  13. Identification of the translocation breakpoints in the Ts65Dn and Ts1Cje mouse lines: relevance for modeling Down syndrome.Mammalian genome : official journal of the International Mammalian Genome Society · 2011
    Article
  14. Review
  15. Article
  16. Article
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  19. Review
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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

4 authors at 1 institution in 1 country.

Véronique BraultInstitut de Transgénose, IEM, CNRS Uni Orléans, UMR6218, Orléans, France.
Patricia Pereira
Arnaud Duchon
Yann Hérault
Transgene (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the challenges of genomic research after the completion of the human genome project is to assign a function to all the genes and to understand their interactions and organizations. Among the various techniques, the emergence of chromosome engineering tools with the aim to manipulate large genomic regions in the mouse model offers a powerful way to accelerate the discovery of gene functions and provides more mouse models to study normal and pathological developmental processes associated with aneuploidy. The combination of gene targeting in ES cells, recombinase technology, and other techniques makes it possible to generate new chromosomes carrying specific and defined deletions, duplications, inversions, and translocations that are accelerating functional analysis. This review presents the current status of chromosome engineering techniques and discusses the different applications as well as the implication of these new techniques in future research to better understand the function of chromosomal organization and structures.

Indexed as

AneuploidyAnimalsChromosomesEmbryo, MammalianGene TargetingGenetic EngineeringGenomicsHumansMiceModels, GeneticRecombination, GeneticStem Cells

Identifiers

PMID16839184
PMCPMC1500809
OpenAlexW1966619639

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.