Literature DB >> 27988214

Characterization of glomerular extracellular matrix by proteomic analysis of laser-captured microdissected glomeruli.

Liliane Hobeika1, Michelle T Barati1, Dawn J Caster2, Kenneth R McLeish2, Michael L Merchant3.   

Abstract

Abnormal extracellular matrix (ECM) remodeling is a prominent feature of many glomerular diseases and is a final common pathway of glomerular injury. However, changes in ECM composition accompanying disease-related remodeling are unknown. The physical properties of ECM create challenges for characterization of composition using standard protein extraction techniques, as the insoluble components of ECM are frequently discarded and many ECM proteins are in low abundance compared to other cell proteins. Prior proteomic studies defining normal ECM composition used a large number of glomeruli isolated from human kidneys retrieved for transplantation or by nephrectomy for cancer. Here we examined the ability to identify ECM proteins by mass spectrometry using glomerular sections compatible with those available from standard renal biopsy specimens. Proteins were classified as ECM by comparison to the Matrisome database and previously identified glomerular ECM proteins. Optimal ECM protein identification resulted from sequential decellularization and protein extraction of 100 human glomerular sections isolated by laser capture microdissection from either frozen or formalin-fixed, paraffin-embedded tissue. In total, 147 ECM proteins were identified, including the majority of structural and GBM proteins previously identified along with a number of matrix and glomerular basement membrane proteins not previously associated with glomeruli. Thus, our study demonstrates the feasibility of proteomic analysis of glomerular ECM from retrieved glomerular sections isolated from renal biopsy tissue and expands the list of known ECM proteins in glomeruli.
Copyright © 2016 International Society of Nephrology. All rights reserved.

Entities:  

Keywords:  extracellular matrix; glomeruli; human; laser capture microdissection; mass spectrometry

Mesh:

Substances:

Year:  2016        PMID: 27988214      PMCID: PMC5237413          DOI: 10.1016/j.kint.2016.09.044

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


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