학술논문
Cell types of origin of the cell-free transcriptome
Document Type
article
Author
Jones, Robert C; Karkanias, Jim; Krasnow, Mark; Pisco, Angela Oliveira; Quake, Stephen R; Salzman, Julia; Yosef, Nir; Bulthaup, Bryan; Brown, Phillip; Harper, William; Hemenez, Marisa; Ponnusamy, Ravikumar; Salehi, Ahmad; Sanagavarapu, Bhavani A; Spallino, Eileen; Aaron, Ksenia A; Concepcion, Waldo; Gardner, James M; Kelly, Burnett; Neidlinger, Nikole; Wang, Zifa; Crasta, Sheela; Kolluru, Saroja; Morri, Maurizio; Tan, Serena Y; Travaglini, Kyle J; Xu, Chenling; Alcántara-Hernández, Marcela; Almanzar, Nicole; Antony, Jane; Beyersdorf, Benjamin; Burhan, Deviana; Calcuttawala, Kruti; Carter, Matthew M; Chan, Charles KF; Chang, Charles A; Chang, Stephen; Colville, Alex; Culver, Rebecca N; Cvijović, Ivana; D’Amato, Gaetano; Ezran, Camille; Galdos, Francisco X; Gillich, Astrid; Goodyer, William R; Hang, Yan; Hayashi, Alyssa; Houshdaran, Sahar; Huang, Xianxi; Irwin, Juan C; Jang, SoRi; Juanico, Julia Vallve; Kershner, Aaron M; Kim, Soochi; Kiss, Bernhard; Kong, William; Kumar, Maya E; Kuo, Angera H; Leylek, Rebecca; Li, Baoxiang; Loeb, Gabriel B; Lu, Wan-Jin; Mantri, Sruthi; Markovic, Maxim; McAlpine, Patrick L; de Morree, Antoine; Mrouj, Karim; Mukherjee, Shravani; Muser, Tyler; Neuhöfer, Patrick; Nguyen, Thi D; Perez, Kimberly; Phansalkar, Ragini; Puluca, Nazan; Qi, Zhen; Rao, Poorvi; Raquer-McKay, Hayley; Schaum, Nicholas; Scott, Bronwyn; Seddighzadeh, Bobak; Segal, Joe; Sen, Sushmita; Sikandar, Shaheen; Spencer, Sean P; Steffes, Lea; Subramaniam, Varun R; Swarup, Aditi; Swift, Michael; Van Treuren, Will; Trimm, Emily; Veizades, Stefan; Vijayakumar, Sivakamasundari; Vo, Kim Chi; Vorperian, Sevahn K; Wang, Wanxin; Weinstein, Hannah NW; Winkler, Juliane; Wu, Timothy TH; Xie, Jamie; Yung, Andrea R
Source
Nature Biotechnology. 40(6)
Subject
Language
Abstract
Cell-free RNA from liquid biopsies can be analyzed to determine disease tissue of origin. We extend this concept to identify cell types of origin using the Tabula Sapiens transcriptomic cell atlas as well as individual tissue transcriptomic cell atlases in combination with the Human Protein Atlas RNA consensus dataset. We define cell type signature scores, which allow the inference of cell types that contribute to cell-free RNA for a variety of diseases.