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Nature Genetics
Article . 1999 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Nature Genetics
Article . 1999
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Leukaemia disease genes: large-scale cloning and pathway predictions

Authors: David A. Largaespada; Adam J. Dupuy; Jiayin Li; John D. Shaughnessy; Nancy A. Jenkins; Karen L. Himmel; Takuro Nakamura; +2 Authors

Leukaemia disease genes: large-scale cloning and pathway predictions

Abstract

Retroviral insertional mutagenesis in BXH2 and AKXD recombinant inbred mice induces a high incidence of myeloid or B- and T-cell leukaemia and the proviral integration sites in the leukaemias provide powerful genetic tags for disease gene identification. Some of the disease genes identified by proviral tagging are also associated with human disease, validating this approach for human disease gene identification. Although many leukaemia disease genes have been identified over the years, many more remain to be cloned. Here we describe an inverse PCR (IPCR) method for proviral tagging that makes use of automated DNA sequencing and the genetic tools provided by the Mouse Genome Project, which increases the throughput for disease gene identification. We also use this IPCR method to clone and analyse more than 400 proviral integration sites from AKXD and BXH2 leukaemias and, in the process, identify more than 90 candidate disease genes. Some of these genes function in pathways already implicated in leukaemia, whereas others are likely to define new disease pathways. Our studies underscore the power of the mouse as a tool for gene discovery and functional genomics.

Keywords

Expressed Sequence Tags, Genome, Leukemia, Experimental, Lymphoma, Reproducibility of Results, Mice, Inbred Strains, Oncogenes, Physical Chromosome Mapping, Polymerase Chain Reaction, Sensitivity and Specificity, Chromosomes, Mice, Mutagenesis, Insertional, Retroviridae, Proviruses, Sequence Homology, Nucleic Acid, Animals, Humans, Cloning, Molecular, Signal Transduction

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citations
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!
216
Top 10%
Top 1%
Top 1%