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Inside Front Cover: Proteomic characterization of microdissected breast tissue environment provides a protein‐level overview of malignant transformation
Author(s) -
Braakman René B. H.,
Stingl Christoph,
TilanusLinthorst Madeleine M. A.,
van Deurzen Carolien H. M.,
Timmermans Mieke A. M.,
Smid Marcel,
Foekens John A.,
Luider Theo M.,
Martens John W. M.,
Umar Arzu
Publication year - 2017
Publication title -
proteomics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201770034
Subject(s) - laser capture microdissection , proteomics , stromal cell , principal component analysis , biology , microdissection , fibroadenoma , malignant transformation , computational biology , pathology , gene expression , breast cancer , cancer research , computer science , biochemistry , medicine , genetics , cancer , gene , artificial intelligence
DOI: 10.1002/pmic.201600213 The cover design shows a schematic representation of the LCM‐proteomics workflow. Fresh frozen breast tissues were subjected to laser capture microdissection (LCM), from which both epithelial and stromal cell regions were collected. Proteins were extracted, trypsin digested and subjected to nLC‐MS/MS analysis, after which the protein abundance data were analyzed by principal component analysis (PCA). Microdissected samples clustered according to their histology, with principal component 1 discriminating between stroma and epithelium and principal component 3 discriminating between malignancy, on the basis of expression of immune regulatory proteins. For more details, see the research article by René B. H. Braakman et al., article number 1600213.