Semantic Scholar Open Access 2021 1344 sitasi

A single–cell type transcriptomics map of human tissues

Max J. Karlsson Cheng Zhang Loren Méar Wen Zhong A. Digre +20 lainnya

Abstrak

Single-cell RNA analysis has been integrated with spatial protein profiling to create a single–cell type map of human tissues. 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.

Topik & Kata Kunci

Penulis (25)

M

Max J. Karlsson

C

Cheng Zhang

L

Loren Méar

W

Wen Zhong

A

A. Digre

B

Borbala Katona

E

E. Sjöstedt

L

L. Butler

J

J. Odeberg

P

P. Dusart

F

F. Edfors

P

P. Oksvold

K

K. von Feilitzen

M

M. Zwahlen

M

M. Arif

O

O. Altay

X

Xiangyu Li

M

M. Ozcan

A

Adil Mardonoglu

L

Linn Fagerberg

J

J. Mulder

Y

Yonglun Luo

F

F. Pontén

M

M. Uhlén

C

C. Lindskog

Format Sitasi

Karlsson, M.J., Zhang, C., Méar, L., Zhong, W., Digre, A., Katona, B. et al. (2021). A single–cell type transcriptomics map of human tissues. https://doi.org/10.1126/sciadv.abh2169

Akses Cepat

Lihat di Sumber doi.org/10.1126/sciadv.abh2169
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Total Sitasi
1344×
Sumber Database
Semantic Scholar
DOI
10.1126/sciadv.abh2169
Akses
Open Access ✓