Phenotyping of anin VitroModel of Ischemic Penumbra by iTRAQ-Based Shotgun Quantitative Proteomics

Arnab Datta; Jung Eun Park; Xin Li; Huoming Zhang; Zhi Shan Ho; Klaus Heese; Sai Kiang Lim; James P. Tam; Siu Kwan Sze

doi:10.1021/pr900829h

Phenotyping of anin VitroModel of Ischemic Penumbra by iTRAQ-Based Shotgun Quantitative Proteomics

Journal of Proteome Research ◽

10.1021/pr900829h ◽

2010 ◽

Vol 9 (1) ◽

pp. 472-484 ◽

Cited By ~ 48

Author(s):

Arnab Datta ◽

Jung Eun Park ◽

Xin Li ◽

Huoming Zhang ◽

Zhi Shan Ho ◽

...

Keyword(s):

Quantitative Proteomics ◽

Ischemic Penumbra

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Identification of Serum Biomarkers for Ischemic Penumbra by iTRAQ‐Based Quantitative Proteomics Analysis

PROTEOMICS - CLINICAL APPLICATIONS ◽

10.1002/prca.201900009 ◽

2019 ◽

Vol 13 (5) ◽

pp. 1900009 ◽

Cited By ~ 2

Author(s):

Xiao‐Min Pang ◽

Xia Zhou ◽

Sheng‐You Su ◽

Chun‐Yong Chen ◽

Zhi‐Xiao Wei ◽

...

Keyword(s):

Quantitative Proteomics ◽

Serum Biomarkers ◽

Ischemic Penumbra ◽

Proteomics Analysis

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Quantitative Proteomics

10.1039/9781782626985 ◽

2014 ◽

Cited By ~ 4

Keyword(s):

Quantitative Proteomics

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The Ischemic Penumbra

10.3109/9781420047356 ◽

2007 ◽

Cited By ~ 13

Keyword(s):

Ischemic Penumbra

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Faculty Opinions recommendation of Unbiased quantitative proteomics of lipid rafts reveals high specificity for signaling factors.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1013096.190650 ◽

2003 ◽

Author(s):

Michael Roth

Keyword(s):

Lipid Rafts ◽

Quantitative Proteomics ◽

High Specificity

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Faculty Opinions recommendation of Overcoming technical variation and biological variation in quantitative proteomics.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1016409.200283 ◽

2003 ◽

Author(s):

Oliver Fiehn

Keyword(s):

Quantitative Proteomics ◽

Biological Variation

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Faculty Opinions recommendation of Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1015805.198556 ◽

2003 ◽

Author(s):

Michael Hengartner

Keyword(s):

Quantitative Proteomics ◽

Metabolic Labeling ◽

C Elegans

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Faculty Opinions recommendation of SILAC mouse for quantitative proteomics uncovers kindlin-3 as an essential factor for red blood cell function.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1119879.581361 ◽

2008 ◽

Author(s):

Laura Trinkle-Mulcahy

Keyword(s):

Blood Cell ◽

Red Blood Cell ◽

Quantitative Proteomics ◽

Cell Function ◽

Essential Factor

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Faculty Opinions recommendation of Quantitative proteomics reveals the function of unconventional ubiquitin chains in proteasomal degradation.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1160034.619669 ◽

2009 ◽

Author(s):

Jane Endicott

Keyword(s):

Quantitative Proteomics ◽

Proteasomal Degradation

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Faculty Opinions recommendation of Quantitative proteomics reveals subset-specific viral recognition in dendritic cells.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.2478969.4187075 ◽

2010 ◽

Author(s):

David J States

Keyword(s):

Dendritic Cells ◽

Quantitative Proteomics ◽

Viral Recognition

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Faculty Opinions recommendation of Quantitative proteomics reveals subset-specific viral recognition in dendritic cells.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.2478969.2960066 ◽

2010 ◽

Author(s):

Troy Randall

Keyword(s):

Dendritic Cells ◽

Quantitative Proteomics ◽

Viral Recognition

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