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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 PROTEOMICSarrow_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
PROTEOMICS
Article . 2005 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
PROTEOMICS
Article . 2006
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Protein expression pattern distinguishes different lymphoid neoplasms

Authors: Kazuyasu, Fujii; Tadashi, Kondo; Hideki, Yokoo; Tesshi, Yamada; Yoshihiro, Matsuno; Keiji, Iwatsuki; Setsuo, Hirohashi;

Protein expression pattern distinguishes different lymphoid neoplasms

Abstract

Abstract To identify proteins associated with the histological subtypes of lymphoid neoplasms, we studied the proteomes of 42 cell lines from human lymphoid neoplasms including Hodgkin's lymphoma (HL; four cell lines), B cell malignancies (19 cell lines), T cell malignancies (16 cell lines), and natural killer (NK) cell lymphoma (three cell lines). The protein spots were sequentially selected by (i) Wilcoxon or Kruskal–Wallis tests to find the spots whose intensity was significantly ( p <0.05) different among the cell line groups, (ii) by statistical‐learning methods to prioritize the spots according to their contribution to the classification, and (iii) by unsupervised classification methods to validate the classification robustness by the selected spots. The selected spots discriminated (i) between HL cells and other cells, (ii) between the cells from B cell malignancies, T cell malignancies, and NK cell lymphoma cells, and (iii) between HL cells and anaplastic large cell lymphoma cells. Among the 31 informative protein spots, MS identified 24 proteins corresponding to 23 spots. Previous reports did not correlate these proteins to lymphocyte differentiation, suggesting that a proteomic study would identify the novel mechanisms responsible for the histogenesis of lymphoid neoplasms. These proteins may have potential as differential diagnostic markers for lymphoid neoplasms.

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Keywords

Lymphoma, B-Cell, Lymphoma, Proteome, Lymphoma, Non-Hodgkin, Molecular Sequence Data, Lymphoma, T-Cell, Hodgkin Disease, Diagnosis, Differential, Killer Cells, Natural, Cell Line, Tumor, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization, Multivariate Analysis, Biomarkers, Tumor, Humans, Electrophoresis, Gel, Two-Dimensional, Amino Acid Sequence

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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!
29
Average
Top 10%
Top 10%
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