A Single-cell Type Transcriptomics Map of Human Tissues

Overview

Journal Sci Adv

Specialties Biology
Science

Date 2021 Jul 29

PMID 34321199

Citations 593

Authors

Max Karlsson

Cheng Zhang

Loren Mear

Wen Zhong

Andreas Digre

Borbala Katona

Evelina Sjostedt

Lynn Butler

Jacob Odeberg

Philip Dusart

Fredrik Edfors

Per Oksvold

Kalle Von Feilitzen

Martin Zwahlen

Muhammad Arif

Ozlem Altay

Xiangyu Li

Mehmet Ozcan

Adil Mardinoglu

Linn Fagerberg

Jan Mulder

Yonglun Luo

Fredrik Ponten

Mathias Uhlen

Cecilia Lindskog

Affiliations

Soon will be listed here.

Abstract

Advances in molecular profiling have opened up the possibility to map the expression of genes in cells, tissues, and organs in the human body. Here, we combined single-cell transcriptomics analysis with spatial antibody-based protein profiling to create a high-resolution single-cell type map of human tissues. An open access atlas has been launched to allow researchers to explore the expression of human protein-coding genes in 192 individual cell type clusters. An expression specificity classification was performed to determine the number of genes elevated in each cell type, allowing comparisons with bulk transcriptomics data. The analysis highlights distinct expression clusters corresponding to cell types sharing similar functions, both within the same organs and between organs.

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