The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesis
Open accessAbstract
Adipose tissue is usually classified on the basis of its function as white, brown or beige (brite) 1 . It is an important regulator of systemic metabolism, as shown by the fact that dysfunctional adipose tissue in obesity leads to a variety of secondary metabolic complications 2 , 3 . In addition, adipose tissue functions as a signalling hub that regulates systemic metabolism through paracrine and endocrine signals 4 . Here we use single-nucleus RNA-sequencing (snRNA-seq) analysis in mice and humans to characterize adipocyte heterogeneity. We identify a rare subpopulation of adipocytes in mice that increases in abundance at higher temperatures, and we show that this subpopulation regulates the activity of neighbouring adipocytes through acetate-mediated modulation of their thermogenic capacity. Human adipose tissue contains higher numbers of cells of this subpopulation, which could explain the lower thermogenic activity of human compared to mouse adipose tissue and suggests that targeting this pathway could be used to restore thermogenic activity. Single-nucleus RNA sequencing in mouse and human adipose tissue identifies a subpopulation of adipocytes that regulates thermogenesis in neighbouring adipocytes in a paracrine manner by modulating acetate signalling.
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.
Integrity signals
Registry
Cites
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.
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
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
R: A Language for Data Analysis and Graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,220
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055
Self-citationBrown Adipose Tissue: Function and Physiological Significance
CANNON, B., & NEDERGAARD, J. (2004) · Physiological Reviews · doi:10.1152/physrev.00015.2003 · Cited by 6,433
Reversed graph embedding resolves complex single-cell trajectories
Qiu, X., Mao, Q., Tang, Y., Wang, L., Chawla, R., Pliner, H. A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4402 · Cited by 5,070
Aran, D., Looney, A. P., Liu, L., Wu, E., Fong, V., Hsu, A., Chak, S., Naikawadi, R. P., Wolters, P. J., Abate, A. R., et al. (2019) · Nature Immunology · doi:10.1038/s41590-018-0276-y · Cited by 4,984
McGinnis, C. S., Murrow, L. M., & Gartner, Z. J. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.003 · Cited by 4,521
Full-length RNA-seq from single cells using Smart-seq2
Picelli, S., Faridani, O. R., Björklund, Å. K., Winberg, G., Sagasser, S., & Sandberg, R. (2014) · Nature Protocols · doi:10.1038/nprot.2014.006 · Cited by 4,137
Body Fatness and Cancer — Viewpoint of the IARC Working Group
Lauby-Secretan, B., Scoccianti, C., Loomis, D., Grosse, Y., Bianchini, F., & Straif, K. (2016) · New England Journal of Medicine · doi:10.1056/nejmsr1606602 · Cited by 3,596
Cited by
Fleming, S. J., Chaffin, M. D., Arduini, A., Akkad, A.-D., Banks, E., Marioni, J. C., Philippakis, A. A., Ellinor, P. T., & Babadi, M. (2023) · Nature Methods · doi:10.1038/s41592-023-01943-7 · Cited by 867
A single-cell atlas of human and mouse white adipose tissue
Emont, M. P., Jacobs, C., Essene, A. L., Pant, D., Tenen, D., Colleluori, G., Di Vincenzo, A., Jørgensen, A. M., Dashti, H., Stefek, A., et al. (2022) · Nature · doi:10.1038/s41586-022-04518-2 · Cited by 840
Self-citationLipid and glucose metabolism in white adipocytes: pathways, dysfunction and therapeutics
Morigny, P., Boucher, J., Arner, P., & Langin, D. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00471-8 · Cited by 527
Reassessing human adipose tissue
Cypess, A. M. (2022) · New England Journal of Medicine · doi:10.1056/nejmra2032804 · Cited by 404
Hildreth, A. D., Ma, F., Wong, Y. Y., Sun, R., Pellegrini, M., & O’Sullivan, T. E. (2021) · Nature Immunology · doi:10.1038/s41590-021-00922-4 · Cited by 359
Metadata
- Authors
- Sun, W., Dong, H., Balaz, M., Slyper, M., Drokhlyansky, E., Colleluori, G., Giordano, A., Kovanicova, Z., Stefanicka, P., Balazova, L., Ding, L., Husted, A. S., Rudofsky, G., Ukropec, J., Cinti, S., Schwartz, T. W., Regev, A., & Wolfrum, C.
- Venue
- Nature
- Published
- 2020-10-28
- Volume
- 587
- Issue
- 7832
- Pages
- 98-102
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3097526205
- Cited by
- 371
- References
- 73
- FWCI
- 27.53
- Type
- journal article
- Language
- en
- Open access
- green
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: snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesis. https://app.cochat.ai/papers/10.1038/s41586-020-2856-x
- The paper
- Sun, W., Dong, H., Balaz, M., Slyper, M., Drokhlyansky, E., Colleluori, G., Giordano, A., Kovanicova, Z., Stefanicka, P., Balazova, L., Ding, L., Husted, A. S., Rudofsky, G., Ukropec, J., Cinti, S., Schwartz, T. W., Regev, A., & Wolfrum, C. (2020). snRNA-seq reveals a subpopulation of adipocytes that regulates thermogenesis. Nature. https://doi.org/10.1038/s41586-020-2856-x
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.