The use of heavy nitrogen in quantitative proteomics experiments in plants

Trends in Plant Science ◽

10.1016/j.tplants.2011.11.001 ◽

2012 ◽

Vol 17 (2) ◽

pp. 102-112 ◽

Author(s):

Borjana Arsova ◽

Sylwia Kierszniowska ◽

Waltraud X. Schulze

Keyword(s):

Quantitative Proteomics ◽

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Quantitative Proteomics

10.1039/9781782626985 ◽

2014 ◽

Keyword(s):

Quantitative Proteomics

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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 ◽

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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):

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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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.2478969.2895066 ◽

2010 ◽

Author(s):

Miriam Merad ◽

Brian Brown

Keyword(s):

Dendritic Cells ◽

Quantitative Proteomics ◽

Viral Recognition

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Faculty Opinions recommendation of Quantitative proteomics identifies vasopressin-responsive nuclear proteins in collecting duct cells.

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

10.3410/f.717447890.792902850 ◽

2012 ◽

Author(s):

Heini Murer

Keyword(s):

Quantitative Proteomics ◽

Collecting Duct ◽

Nuclear Proteins ◽

Collecting Duct Cells

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