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Quantitative proteomic analysis of formalin–fixed, paraffin–embedded clear cell renal cell carcinoma tissue using stable isotopic dimethylation of primary amines

Overview of attention for article published in BMC Genomics, July 2015
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Title
Quantitative proteomic analysis of formalin–fixed, paraffin–embedded clear cell renal cell carcinoma tissue using stable isotopic dimethylation of primary amines
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1768-x
Pubmed ID
Authors

J. Weißer, Z. W. Lai, P. Bronsert, M. Kuehs, V. Drendel, S. Timme, S. Kuesters, C. A. Jilg, U. F. Wellner, S. Lassmann, M. Werner, M. L. Biniossek, O. Schilling

Abstract

Formalin-fixed, paraffin-embedded (FFPE) tissues represent the most abundant resource of archived human specimens in pathology. Such tissue specimens are emerging as a highly valuable resource for translational proteomic studies. In quantitative proteomic analysis, reductive di-methylation of primary amines using stable isotopic formaldehyde variants is increasingly used due to its robustness and cost-effectiveness. In the present study we show for the first time that isotopic amine dimethylation can be used in a straightforward manner for the quantitative proteomic analysis of FFPE specimens without interference from formalin employed in the FFPE process. Isotopic amine dimethylation of FFPE specimens showed equal labeling efficiency as for cryopreserved specimens. For both FFPE and cryopreserved specimens, differential labeling of identical samples yielded highly similar ratio distributions within the expected range for dimethyl labeling. In an initial application, we profiled proteome changes in clear cell renal cell carcinoma (ccRCC) FFPE tissue specimens compared to adjacent non-malignant renal tissue. Our findings highlight increased levels of glyocolytic enzymes, annexins as well as ribosomal and proteasomal proteins. Our study establishes isotopic amine dimethylation as a versatile tool for quantitative proteomic analysis of FFPE specimens and underlines proteome alterations in ccRCC.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 21%
Student > Ph. D. Student 8 17%
Student > Bachelor 7 15%
Student > Master 5 10%
Student > Doctoral Student 3 6%
Other 10 21%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 11 23%
Agricultural and Biological Sciences 9 19%
Biochemistry, Genetics and Molecular Biology 8 17%
Chemistry 3 6%
Engineering 2 4%
Other 6 13%
Unknown 9 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2015.
All research outputs
#20,284,384
of 22,818,766 outputs
Outputs from BMC Genomics
#9,278
of 10,653 outputs
Outputs of similar age
#220,064
of 263,426 outputs
Outputs of similar age from BMC Genomics
#230
of 242 outputs
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We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.