A human breast atlas integrating single-cell proteomics and transcriptomics.
A human breast atlas integrating single-cell proteomics and transcriptomics.
复制标题
整合单细胞蛋白质组学和转录组学的人类乳房图集。
DOI:
10.1016/j.devcel.2022.05.003
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发表时间:
2022-06-06
影响因子:
11.8
通讯作者:
Brugge, Joan S.
中科院分区:
文献类型:
--
作者:
Gray, G. Kenneth;Li, Carman Man-Chung;Rosenbluth, Jennifer M.;Selfors, Laura M.;Girnius, Nomeda;Lin, Jia-Ren;Schackmann, Ron C. J.;Goh, Walter L.;Moore, Kaitlin;Shapiro, Hana K.;Mei, Shaolin;D'Andrea, Kurt;Nathanson, Katherine L.;Sorger, Peter K.;Santagata, Sandro;Regev, Aviv;Garber, Judy E.;Dillon, Deborah A.;Brugge, Joan S.
The breast is a dynamic organ whose response to physiological and pathophysiological conditions alters its disease susceptibility, yet the specific effects of these clinical variables on cell state remain poorly annotated. We present a unified, high-resolution breast atlas by integrating single-cell RNA-seq, mass cytometry, and cyclic immunofluorescence, encompassing a myriad of states. We define cell subtypes within the alveolar, hormone-sensing, and basal epithelial lineages, delineating associations of several subtypes with cancer risk factors, including age, parity, and BRCA2 germline mutation. Of particular interest is a subset of alveolar cells, termed basal-luminal (BL) cells, which exhibits poor transcriptional lineage fidelity, accumulates with age, and carries a gene signature associated with basal-like breast cancer. We further utilize a medium-depletion approach to identify molecular factors regulating cell subtype proportion in organoids. Together, these data are a rich resource to elucidate diverse mammary cell states. Gray, Li, Rosenbluth, Selfors et al. generate a multi-dimensional atlas of breast tissues and organoids. Distinct epithelial subtypes are found to be associated with age, parity, and BRCA2 mutation. An alveolar subset termed basal-luminal cells display poor transcriptional lineage fidelity and gene expression signatures associated with aggressive basal-like breast cancers.
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影响因子:
16.6
作者:
Bach K;Pensa S;Zarocsinceva M;Kania K;Stockis J;Pinaud S;Lazarus KA;Shehata M;Simões BM;Greenhalgh AR;Howell SJ;Clarke RB;Caldas C;Halim TYF;Marioni JC;Khaled WT
通讯作者:
Khaled WT
影响因子:
3.7
作者:
Iglesias JM;Cairney CJ;Ferrier RK;McDonald L;Soady K;Kendrick H;Pringle MA;Morgan RO;Martin F;Smalley MJ;Blyth K;Stein T
通讯作者:
Stein T
影响因子:
32.4
作者:
Agudo J;Park ES;Rose SA;Alibo E;Sweeney R;Dhainaut M;Kobayashi KS;Sachidanandam R;Baccarini A;Merad M;Brown BD
通讯作者:
Brown BD
DOI:
10.1016/j.xcrm.2021.100219
发表时间:
2021-03-16
期刊:
Cell reports. Medicine
影响因子:
--
作者:
Bhat-Nakshatri P;Gao H;Sheng L;McGuire PC;Xuei X;Wan J;Liu Y;Althouse SK;Colter A;Sandusky G;Storniolo AM;Nakshatri H
通讯作者:
Nakshatri H
影响因子:
23.9
作者:
Choudhury, Sibgat;Almendro, Vanessa;Polyak, Kornelia
通讯作者:
Polyak, Kornelia