New Data Analysis and Mining Approaches Identify Unique Proteome and Transcriptome Markers of Susceptibility to Autoimmune Diabetes-Reference-Cited by-同舟云学术

New Data Analysis and Mining Approaches Identify Unique Proteome and Transcriptome Markers of Susceptibility to Autoimmune Diabetes

Published:2006-02 Issue:2 Volume:5 Page:293-305
ISSN:1535-9476
Container-title:Molecular & Cellular Proteomics
language:en
Short-container-title:Molecular & Cellular Proteomics

Author:

Gerling Ivan C.,Singh Sudhir,Lenchik Nataliya I.,Marshall Dana R.,Wu Jian

Publisher

Elsevier BV

Subject

Molecular Biology,Biochemistry,Analytical Chemistry

Reference33 articles.

1. Novel patterns of gene expression in pituitary adenomas identified by complementary deoxyribonucleic acid microarrays and qualitative reverse transcription-polymerase chain reaction;Evans;J. Clin. Endocrinol. Metab.,2001

2. Proteomics in human disease: cancer, heart and infectious diseases;Jungblut;Electrophoresis,1999

3. The hormone resistin links obesity to diabetes;Steppan;Nature,2001

4. Aldosteronism. An immunostimulatory state precedes the proinflammatory/fibrogenic cardiac phenotype;Gerling;Am. J. Phys.,2003

5. Finishing the euchromatic sequence of the human genome;Nature,2004

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