Journal
MATRIX BIOLOGY
Volume 91-92, Issue -, Pages 152-166Publisher
ELSEVIER
DOI: 10.1016/j.matbio.2020.04.004
Keywords
Spatial transcriptomics; spatial proteomics; matrisome; fibrosis; multiplex imaging
Categories
Funding
- United States National Institutes of Health, specifically the National Heart, Lung and Blood Institute [R01 HL 127283, R01 HL 132585]
- Department of Physiology and Biophysics at the University of Illinois at Chicago
- Catalyst Award from the Chicago Biomedical Consortium
- Searle Funds at the Chicago Community Trust [C-088]
- NIH Cancer Training Grant [T32 CA 009109]
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Complex intercellular interactions as well as biomolecular and biomechanical cues from the extracellular matrix (ECM) profoundly affect cellular functions. Traditional transcriptomic and proteomic approaches have provided insight into disease progression by identifying discrete cellular subpopulations or microenvironmental signatures characteristic of normal or pathological tissues, however these techniques do not examine how a given cellular state relates to its interactions with neighboring cells or its surrounding ECM with multipara-metric characterization (i.e. ECM alignment, mechanical forces, crosslinking, etc.). Emerging spatialomic techniques can provide high-resolution mapping of expression profiles similar to scRNA-seq and mass spectroscopy directly within tissues. The ability to preserve the spatial context of cells within samples, their cellular geometry, as well as their surrounding ECM gives spatial-omics the opportunity to interrogate previously unexplored signaling modalities, which has the potential to revolutionize ECM research and our understanding of fibrotic diseases. In this review, we present current spatial transcriptomic and proteomic techniques and discuss how they may be applied to investigate cell-ECM interactions. (c) 2020 Elsevier B.V. All rights reserved.
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