MatrisomeDB: the ECM-protein knowledge database

被引:178
作者
Shao, Xinhao [1 ]
Taha, Isra N. [2 ]
Clauser, Karl R. [3 ]
Gao, Yu [1 ,4 ]
Naba, Alexandra [2 ,4 ]
机构
[1] Univ Illinois, Coll Pharm, Chicago, IL 60612 USA
[2] Univ Illinois, Dept Physiol & Biophys, Chicago, IL 60612 USA
[3] Broad Inst, Cambridge, MA 02139 USA
[4] Univ Illinois, Canc Ctr, Chicago, IL 60612 USA
关键词
EXTRACELLULAR-MATRIX; PROTEOMIC ANALYSIS; SIGNATURE; TISSUES;
D O I
10.1093/nar/gkz849
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The extracellular matrix (ECM) is a complex and dynamic meshwork of cross-linked proteins that supports cell polarization and functions and tissue organization and homeostasis. Over the past few decades, mass-spectrometry-based proteomics has emerged as the method of choice to characterize the composition of the ECM of normal and diseased tissues. Here, we present a new release of MatrisomeDB, a searchable collection of curated proteomic data from 17 studies on the ECM of 15 different normal tissue types, six cancer types (different grades of breast cancers, colorectal cancer, melanoma, and insulinoma) and other diseases including vascular defects and lung and liver fibroses. MatrisomeDB (http://www.pepchem. org/matrisomedb) was built by retrieving raw mass spectrometry data files and reprocessing them using the same search parameters and criteria to allow for a more direct comparison between the different studies. The present release of MatrisomeDB includes 847 human and 791 mouse ECM proteoforms and over 350 000 human and 600 000 mouse ECM-derived peptide-to-spectrum matches. For each query, a hierarchically-clustered tissue distribution map, a peptide coverage map, and a list of post-translational modifications identified, are generated. MatrisomeDB is the most complete collection of ECM proteomic data to date and allows the building of a comprehensive ECM atlas.
引用
收藏
页码:D1136 / D1144
页数:9
相关论文
共 59 条
  • [51] DTASelect and contrast: Tools for assembling and comparing protein identifications from shotgun proteomics
    Tabb, DL
    McDonald, WH
    Yates, JR
    [J]. JOURNAL OF PROTEOME RESEARCH, 2002, 1 (01) : 21 - 26
  • [52] Exploring the extracellular matrix in health and disease using proteomics
    Taha, Isra N.
    Naba, Alexandra
    [J]. EXTRACELLULAR MATRIX, 2019, 63 (03): : 417 - 432
  • [53] Teuscher Alina C, 2019, Matrix Biol Plus, V1, P100001, DOI 10.1016/j.mbplus.2018.11.001
  • [54] Proteomic View of Basement Membranes from Human Retinal Blood Vessels, Inner Limiting Membranes, and Lens Capsules
    Uechi, Guy
    Sun, Zhiyuan
    Schreiber, Emanuel M.
    Halfter, Willi
    Balasubramani, Manimalha
    [J]. JOURNAL OF PROTEOME RESEARCH, 2014, 13 (08) : 3693 - 3705
  • [55] Comprehensive Profiling of Cartilage Extracellular Matrix Formation and Maturation Using Sequential Extraction and Label-free Quantitative Proteomics
    Wilson, Richard
    Diseberg, Anders F.
    Gordon, Lavinia
    Zivkovic, Snezana
    Tatarczuch, Liliana
    Mackie, Eleanor J.
    Gorman, Jeffrey J.
    Bateman, John F.
    [J]. MOLECULAR & CELLULAR PROTEOMICS, 2010, 9 (06) : 1296 - 1313
  • [56] ProLuCID: An improved SEQUEST-like algorithm with enhanced sensitivity and specificity
    Xu, T.
    Park, S. K.
    Venable, J. D.
    Wohlschlegel, J. A.
    Diedrich, J. K.
    Cociorva, D.
    Lu, B.
    Liao, L.
    Hewel, J.
    Han, X.
    Wong, C. C. L.
    Fonslow, B.
    Delahunty, C.
    Gao, Y.
    Shah, H.
    Yates, J. R., III
    [J]. JOURNAL OF PROTEOMICS, 2015, 129 : 16 - 24
  • [57] Phosphorylated fibronectin enhances cell attachment and upregulates mechanical cell functions
    Yalak, Garif
    Shiu, Jau-Ye
    Schoen, Ingmar
    Mitsi, Maria
    Vogel, Viola
    [J]. PLOS ONE, 2019, 14 (07):
  • [58] Proteomic database mining opens up avenues utilizing extracellular protein phosphorylation for novel therapeutic applications
    Yalak, Garif
    Olsen, Bjorn R.
    [J]. JOURNAL OF TRANSLATIONAL MEDICINE, 2015, 13
  • [59] Post-translational modifications of integrin ligands as pathogenic mechanisms in disease
    Zeltz, Cedric
    Gullberg, Donald
    [J]. MATRIX BIOLOGY, 2014, 40 : 5 - 9