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Proteomic dataset of mouse aortic smooth muscle cells
Author(s) -
Mayr Ursula,
Mayr Manuel,
Yin Xiaoke,
Begum Shajna,
Tarelli Edward,
Wait Robin,
Xu Qingbo
Publication year - 2005
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200402045
Subject(s) - proteomics , smooth muscle , computational biology , microbiology and biotechnology , biology , biochemistry , endocrinology , gene
Abstract In an accompanying study (in this issue, DOI 10.1002/pmic.200402044), we have characterised the proteome of Sca‐1 + progenitor cells, which may function as precursors of vascular smooth muscle cells (SMCs). In the present study, we have analysed and mapped protein expression in aortic SMCs of mice, using 2‐DE, MALDI‐TOF MS and MS/MS. The 2‐D system comprised a non‐linear immobilised pH 3–10 gradient in the first dimension (separating proteins with p I values of pH 3–10), and 12%T SDS‐PAGE in the second dimension (separating proteins in the range 15 000–150 000 Da). Of the 2400 spots visualised, a subset of 267 protein spots was analysed, with 235 protein spots being identified corresponding to 154 unique proteins. The data presented here are the first map of aortic SMCs and the most extensive analysis of SMC proteins published so far. This valuable tool should provide a basis for comparative studies of protein expression in vascular smooth muscle of transgenic mice and is available on our website hhtp://www.vascular‐proteomics.com.