Single-nucleus cross-tissue molecular reference maps toward understanding disease gene function

被引:205
作者
Eraslan, Gokcen [1 ,15 ]
Drokhlyansky, Eugene [1 ]
Anand, Shankara [2 ]
Fiskin, Evgenij [1 ]
Subramanian, Ayshwarya [1 ]
Slyper, Michal [1 ]
Wang, Jiali [3 ,4 ,5 ]
Van Wittenberghe, Nicholas [1 ]
Rouhana, John M. [3 ,4 ,5 ]
Waldman, Julia [1 ]
Ashenberg, Orr [1 ]
Lek, Monkol [6 ]
Dionne, Danielle [1 ]
Win, Thet Su [7 ]
Cuoco, Michael S. [1 ]
Kuksenko, Olena [1 ]
Tsankov, Alexander M. [8 ]
Branton, Philip A. [9 ]
Marshall, Jamie L. [2 ]
Greka, Anna [2 ,10 ]
Getz, Gad [2 ,11 ,12 ,13 ]
Segre, Ayellet, V [3 ,4 ,5 ]
Aguet, Francois [2 ,16 ]
Rozenblatt-Rosen, Orit [1 ,15 ]
Ardlie, Kristin G. [2 ]
Regev, Aviv [1 ,14 ,15 ]
机构
[1] Broad Inst MIT & Harvard, Klarman Cell Observ, Cambridge, MA 02142 USA
[2] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[3] Harvard Med Sch, Dept Ophthalmol, Boston, MA 02115 USA
[4] Harvard Med Sch, Ocular Genom Inst, Massachusetts Eye & Ear, Dept Ophthalmol, Boston, MA 02114 USA
[5] Broad Inst MIT & Harvard, Med & Populat Genet Program, Cambridge, MA 02142 USA
[6] Yale Sch Med, Dept Genet, New Haven, CT 06510 USA
[7] Brigham & Womens Hosp, Dept Dermatol, Boston, MA 02115 USA
[8] Icahn Sch Med Mt Sinai, New York, NY 10029 USA
[9] Joint Pathol Ctr Gynecol Breast Pathol, Silver Spring, MD 20910 USA
[10] Brigham & Womens Hosp, Dept Med, 75 Francis St, Boston, MA 02115 USA
[11] Massachusetts Gen Hosp, Ctr Canc Res, Boston, MA 02114 USA
[12] Massachusetts Gen Hosp, Dept Pathol, Boston, MA 02114 USA
[13] Harvard Med Sch, Boston, MA 02115 USA
[14] MIT, Dept Biol, Cambridge, MA 02139 USA
[15] Genentech Inc, San Francisco, CA 94080 USA
[16] Illumina Inc, Illumina Artificial Intelligence Lab, San Diego, CA 92121 USA
基金
美国国家卫生研究院;
关键词
RNA-SEQ; FRASER-SYNDROME; PROTEIN NEPHRONECTIN; BLEBBED PHENOTYPE; SKELETAL-MUSCLE; MOUSE MODEL; CELL; EXPRESSION; MUTATION; SUBSETS;
D O I
10.1126/science.abl4290
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Understanding gene function and regulation in homeostasis and disease requires knowledge of the cellular and tissue contexts in which genes are expressed. Here, we applied four single-nucleus RNA sequencing methods to eight diverse, archived, frozen tissue types from 16 donors and 25 samples, generating a cross-tissue atlas of 209,126 nuclei profiles, which we integrated across tissues, donors, and laboratorymethods with a conditional variational autoencoder. Using the resulting cross-tissue atlas, we highlight shared and tissuespecific features of tissue-resident cell populations; identify cell types that might contribute to neuromuscular, metabolic, and immune components of monogenic diseases and the biological processes involved in their pathology; and determine cell types and gene modules that might underlie disease mechanisms for complex traits analyzed by genome-wide association studies.
引用
收藏
页码:712 / +
页数:137
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