A single–cell type transcriptomics 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 huma...

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Detalles Bibliográficos
Autores principales: Karlsson, Max, Zhang, Cheng, Méar, Loren, Zhong, Wen, Digre, Andreas, Katona, Borbala, Sjöstedt, Evelina, Butler, Lynn, Odeberg, Jacob, Dusart, Philip, Edfors, Fredrik, Oksvold, Per, von Feilitzen, Kalle, Zwahlen, Martin, Arif, Muhammad, Altay, Ozlem, Li, Xiangyu, Ozcan, Mehmet, Mardonoglu, Adil, Fagerberg, Linn, Mulder, Jan, Luo, Yonglun, Ponten, Fredrik, Uhlén, Mathias, Lindskog, Cecilia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318366/
https://www.ncbi.nlm.nih.gov/pubmed/34321199
http://dx.doi.org/10.1126/sciadv.abh2169
Descripción
Sumario: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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