Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Text availability

Article attribute

Article type

Publication date

Search Results

37 results

Filters applied: . Clear all
Results are displayed in a computed author sort order. The Results By Year timeline is not available.
Page 1
Compartment-resolved Proteomic Analysis of Mouse Aorta during Atherosclerotic Plaque Formation Reveals Osteoclast-specific Protein Expression.
Wierer M, Prestel M, Schiller HB, Yan G, Schaab C, Azghandi S, Werner J, Kessler T, Malik R, Murgia M, Aherrahrou Z, Schunkert H, Dichgans M, Mann M. Wierer M, et al. Among authors: schaab c. Mol Cell Proteomics. 2018 Feb;17(2):321-334. doi: 10.1074/mcp.RA117.000315. Epub 2017 Dec 4. Mol Cell Proteomics. 2018. PMID: 29208753 Free PMC article.
Comparative proteomic analysis of eleven common cell lines reveals ubiquitous but varying expression of most proteins.
Geiger T, Wehner A, Schaab C, Cox J, Mann M. Geiger T, et al. Among authors: schaab c. Mol Cell Proteomics. 2012 Mar;11(3):M111.014050. doi: 10.1074/mcp.M111.014050. Epub 2012 Jan 25. Mol Cell Proteomics. 2012. PMID: 22278370 Free PMC article.
We harness knowledge of these cell line proteomes for the construction of a broad coverage "super-SILAC" quantification standard. Together with the accompanying paper (Schaab, C. MCP 2012, PMID: 22301388) (17) these data can be used to obtain reference expression pr …
We harness knowledge of these cell line proteomes for the construction of a broad coverage "super-SILAC" quantification standard. Together w …
Analysis of phosphoproteomics data.
Schaab C. Schaab C. Methods Mol Biol. 2011;696:41-57. doi: 10.1007/978-1-60761-987-1_3. Methods Mol Biol. 2011. PMID: 21063940
37 results