Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,351

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Single-Cell Transcriptome Atlas of Murine Endothelial Cells

Open access
Kalucka, Joanna, de Rooij, Laura P.M.H., Goveia, Jermaine, Rohlenova, Katerina, Dumas, Sébastien J., Meta, Elda, Conchinha, Nadine V., Taverna, Federico, Teuwen, Laure-Anne, Veys, Koen, García-Caballero, Melissa, Khan, Shawez, Geldhof, Vincent, Sokol, Liliana, Chen, Rongyuan, Treps, Lucas, Borri, Mila, de Zeeuw, Pauline, Dubois, Charlotte, Karakach, Tobias K., Falkenberg, Kim D., Parys, Magdalena, Yin, Xiangke, Vinckier, Stefan, Du, Yuxiang, Fenton, Robert A., Schoonjans, Luc, Dewerchin, Mieke, Eelen, Guy, Thienpont, Bernard, Lin, Lin, Bolund, Lars, Li, Xuri, Luo, Yonglun, Carmeliet, Peter·2020·Cell

Abstract

The heterogeneity of endothelial cells (ECs) across tissues remains incompletely inventoried. We constructed an atlas of >32,000 single-EC transcriptomes from 11 mouse tissues and identified 78 EC subclusters, including Aqp7+ intestinal capillaries and angiogenic ECs in healthy tissues. ECs from brain/testis, liver/spleen, small intestine/colon, and skeletal muscle/heart pairwise expressed partially overlapping marker genes. Arterial, venous, and lymphatic ECs shared more markers in more tissues than did heterogeneous capillary ECs. ECs from different vascular beds (arteries, capillaries, veins, lymphatics) exhibited transcriptome similarity across tissues, but the tissue (rather than the vessel) type contributed to the EC heterogeneity. Metabolic transcriptome analysis revealed a similar tissue-grouping phenomenon of ECs and heterogeneous metabolic gene signatures in ECs between tissues and between vascular beds within a single tissue in a tissue-type-dependent pattern. The EC atlas taxonomy enabled identification of EC subclusters in public scRNA-seq datasets and provides a powerful discovery tool and resource value.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.cell.2020.01.015

Cites

84 of 84 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 84 references

Cited by

See all 1,351

Metadata

Authors
Kalucka, J., de Rooij, L. P. M. H., Goveia, J., Rohlenova, K., Dumas, S. J., Meta, E., Conchinha, N. V., Taverna, F., Teuwen, L.-A., Veys, K., García-Caballero, M., Khan, S., Geldhof, V., Sokol, L., Chen, R., Treps, L., Borri, M., de Zeeuw, P., Dubois, C., Karakach, T. K., Falkenberg, K. D., Parys, M., Yin, X., Vinckier, S., Du, Y., Fenton, R. A., Schoonjans, L., Dewerchin, M., Eelen, G., Thienpont, B., Lin, L., Bolund, L., Li, X., Luo, Y., & Carmeliet, P.
Venue
Cell
Publisher
Elsevier BV
Published
2020-02
Volume
180
Issue
4
Pages
764-779.e20
ISSN
0092-8674 (ISSN-L)
OpenAlex
W3006650868
Cited by
1,351
References
84
FWCI
48.47
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Single-Cell Transcriptome Atlas of Murine Endothelial Cells. https://app.cochat.ai/papers/10.1016/j.cell.2020.01.015
The paper
Kalucka, J., de Rooij, L. P. M. H., Goveia, J., Rohlenova, K., Dumas, S. J., Meta, E., Conchinha, N. V., Taverna, F., Teuwen, L.-A., Veys, K., García-Caballero, M., Khan, S., Geldhof, V., Sokol, L., Chen, R., Treps, L., Borri, M., de Zeeuw, P., Dubois, C., . . . Carmeliet, P. (2020). Single-Cell Transcriptome Atlas of Murine Endothelial Cells. Cell. https://doi.org/10.1016/j.cell.2020.01.015

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.