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Cited by 665

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

Single-cell analysis uncovers fibroblast heterogeneity and criteria for fibroblast and mural cell identification and discrimination

Open access
Muhl, Lars, Genové, Guillem, Leptidis, Stefanos, Liu, Jianping, He, Liqun, Mocci, Giuseppe, Sun, Ying, Gustafsson, Sonja, Buyandelger, Byambajav, Chivukula, Indira V., Segerstolpe, Åsa, Raschperger, Elisabeth, Hansson, Emil M., Björkegren, Johan L. M., Peng, Xiao-Rong, Vanlandewijck, Michael, Lendahl, Urban, Betsholtz, Christer·2020·Nature Communications

Abstract

Many important cell types in adult vertebrates have a mesenchymal origin, including fibroblasts and vascular mural cells. Although their biological importance is undisputed, the level of mesenchymal cell heterogeneity within and between organs, while appreciated, has not been analyzed in detail. Here, we compare single-cell transcriptional profiles of fibroblasts and vascular mural cells across four murine muscular organs: heart, skeletal muscle, intestine and bladder. We reveal gene expression signatures that demarcate fibroblasts from mural cells and provide molecular signatures for cell subtype identification. We observe striking inter- and intra-organ heterogeneity amongst the fibroblasts, primarily reflecting differences in the expression of extracellular matrix components. Fibroblast subtypes localize to discrete anatomical positions offering novel predictions about physiological function(s) and regulatory signaling circuits. Our data shed new light on the diversity of poorly defined classes of cells and provide a foundation for improved understanding of their roles in physiological and pathological processes.

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Metadata

Authors
Muhl, L., Genové, G., Leptidis, S., Liu, J., He, L., Mocci, G., Sun, Y., Gustafsson, S., Buyandelger, B., Chivukula, I. V., Segerstolpe, Å., Raschperger, E., Hansson, E. M., Björkegren, J. L. M., Peng, X.-R., Vanlandewijck, M., Lendahl, U., & Betsholtz, C.
Venue
Nature Communications
Published
2020-08-07
Volume
11
Issue
1
Pages
3953-3953
ISSN
2041-1723 (ISSN-L)
OpenAlex
W3048152017
Cited by
665
References
71
FWCI
21.51
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Single-cell analysis uncovers fibroblast heterogeneity and criteria for fibroblast and mural cell identification and discrimination. https://app.cochat.ai/papers/10.1038/s41467-020-17740-1
The paper
Muhl, L., Genové, G., Leptidis, S., Liu, J., He, L., Mocci, G., Sun, Y., Gustafsson, S., Buyandelger, B., Chivukula, I. V., Segerstolpe, Å., Raschperger, E., Hansson, E. M., Björkegren, J. L. M., Peng, X.-R., Vanlandewijck, M., Lendahl, U., & Betsholtz, C. (2020). Single-cell analysis uncovers fibroblast heterogeneity and criteria for fibroblast and mural cell identification and discrimination. Nature Communications. https://doi.org/10.1038/s41467-020-17740-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.