Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Nature Methodsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Nature Methods
Article . 2004 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature Methods
Article . 2005
versions View all 2 versions
addClaim

The invertor knock-in conditional chromosomal translocation mimic

Authors: Alan, Forster; Richard, Pannell; Lesley F, Drynan; Rosalind, Codrington; Angelika, Daser; Markus, Metzler; M Natividad, Lobato; +1 Authors

The invertor knock-in conditional chromosomal translocation mimic

Abstract

Knock-in models of tumor-specific chromosomal translocations can generate lethal mutations. To circumvent this, a new conditional gene fusion model has been developed (invertor mice) and exemplified with the Ews-ERG fusion oncogene. An ERG segment, flanked by loxP sites, was knocked in to an intron of the Ews gene but in an inverted transcription orientation and lineage-specific Ews-ERG fusion created by Cre-mediated inversion. This invertor method is a completely conditional approach, applicable to any gene fusion, to emulate effects of translocations found in human cancers.

Related Organizations
Keywords

Recombination, Genetic, DNA, Complementary, Base Sequence, Models, Genetic, Transcription, Genetic, Reverse Transcriptase Polymerase Chain Reaction, Molecular Sequence Data, Cell Separation, Flow Cytometry, Chromosomes, Introns, Translocation, Genetic, Mice, Inbred C57BL, Mice, Genetic Techniques, Mutation, Animals, Humans, RNA, Alleles

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    36
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!