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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 Archivio della ricer...arrow_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
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Genomic analysis in lymphoid leukemias.

Authors: CHIARETTI, sabina; J. Ritz; FOA, Roberto;

Genomic analysis in lymphoid leukemias.

Abstract

The introduction of microarray analysis represents a revolution in the scientific field, allowing to investigate thousand of genes in a single experiment. Important biological insights have been revealed by this technique in several tumors: in acute lymphoblastic leukemia (ALL), these studies have allowed to identify specific patterns associated with known molecular abnormalities, as well as with phenotypic characteristics and with different prognostic features. In chronic lymphocytic leukemia (CLL), this approach has helped to dissect that this disease is a single entity with distinct variants that are characterized by a diverse IgVH mutational status, that can be discriminated by a small set of genes, has allowed to define a similarity between this disease and memory B cells and has also led to hypothesize that CLL cells from IgVH unmutated patients may be continuously stimulated in vivo, thus showing a gene profile that is reminiscent of the B cell receptor. In multiple myeloma (MM), gene expression profiles has provided insights into the disease and has offered the opportunity of stratifying patients according to the degree of aggressiveness of the disease. Current efforts are directed to the identification of patterns that may distinguish patients with a different outcome, thus providing useful prognostic information and to design experiments that may allow the identification of new therapeutic targets.

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Keywords

Gene Rearrangement, Gene Expression Profiling, Humans, Genomics, Leukemia, Lymphoid, Oligonucleotide Array Sequence Analysis

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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!
2
Average
Average
Average
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