RT Journal Article
SR Electronic
T1 Single-nucleus cross-tissue molecular reference maps to decipher disease gene function
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.07.19.452954
DO 10.1101/2021.07.19.452954
A1 Gokcen Eraslan
A1 Eugene Drokhlyansky
A1 Shankara Anand
A1 Ayshwarya Subramanian
A1 Evgenij Fiskin
A1 Michal Slyper
A1 Jiali Wang
A1 Nicholas Van Wittenberghe
A1 John M. Rouhana
A1 Julia Waldman
A1 Orr Ashenberg
A1 Danielle Dionne
A1 Thet Su Win
A1 Michael S. Cuoco
A1 Olena Kuksenko
A1 Philip A. Branton
A1 Jamie L. Marshall
A1 Anna Greka
A1 Gad Getz
A1 Ayellet V. Segrè
A1 François Aguet
A1 Orit Rozenblatt-Rosen
A1 Kristin G. Ardlie
A1 Aviv Regev
YR 2021
UL http://biorxiv.org/content/early/2021/07/19/2021.07.19.452954.abstract
AB Understanding the function of genes and their regulation in tissue homeostasis and disease requires knowing the cellular context in which genes are expressed in tissues across the body. Single cell genomics allows the generation of detailed cellular atlases in human tissues, but most efforts are focused on single tissue types. Here, we establish a framework for profiling multiple tissues across the human body at single-cell resolution using single nucleus RNA-Seq (snRNA-seq), and apply it to 8 diverse, archived, frozen tissue types (three donors per tissue). We apply four snRNA-seq methods to each of 25 samples from 16 donors, generating a cross-tissue atlas of 209,126 nuclei profiles, and benchmark them vs. scRNA-seq of comparable fresh tissues. We use a conditional variational autoencoder (cVAE) to integrate an atlas across tissues, donors, and laboratory methods. We highlight shared and tissue-specific features of tissue-resident immune cells, identifying tissue-restricted and non-restricted resident myeloid populations. These include a cross-tissue conserved dichotomy between LYVE1- and HLA class II-expressing macrophages, and the broad presence of LAM-like macrophages across healthy tissues that is also observed in disease. For rare, monogenic muscle diseases, we identify cell types that likely underlie the neuromuscular, metabolic, and immune components of these diseases, and biological processes involved in their pathology. For common complex diseases and traits analyzed by GWAS, we identify the cell types and gene modules that potentially underlie disease mechanisms. The experimental and analytical frameworks we describe will enable the generation of large-scale studies of how cellular and molecular processes vary across individuals and populations.Competing Interest StatementA.R. is a co-founder and equity holder of Celsius Therapeutics, an equity holder in Immunitas, and was an SAB member of ThermoFisher Scientific, Syros Pharmaceuticals, Neogene Therapeutics and Asimov until 31 July 2020. Since 1 August 2020, A.R. has been an employee of Genentech. G.G. was partially funded by the Paul C. Zamecnik Chair in Oncology at the Massachusetts General Hospital Cancer Center. G.G. receives research funds from IBM and Pharmacyclics, and is an inventor on patent applications related to MuTect, ABSOLUTE, MutSig, MSMuTect, MSMutSig, MSIDetect, POLYSOLVER and TensorQTL. G.G. is a founder, consultant, and holds privately-held equity in Scorpion Therapeutics. F.A. is an inventor on a patent application related to TensorQTL. E.D. is an employee of Bristol Myers Squibb. O.R.R. is an employee of Genentech. O.R.R. and A.R. are co-inventors on patent applications filed at the Broad related to single cell genomics.