A single‐cell RNA labeling strategy for measuring stress response upon tissue dissociation

Bibliographic Details
Title: A single‐cell RNA labeling strategy for measuring stress response upon tissue dissociation
Authors: Anika Neuschulz, Olga Bakina, Victor Badillo‐Lisakowski, Pedro Olivares‐Chauvet, Thomas Conrad, Michael Gotthardt, Helmut Kettenmann, Jan Philipp Junker
Source: Molecular Systems Biology, Vol 19, Iss 2, Pp 1-13 (2022)
Publisher Information: Springer Nature, 2022.
Publication Year: 2022
Collection: LCC:Biology (General)
LCC:Medicine (General)
Subject Terms: cellular stress response, RNA labeling, single‐cell transcriptomics, SLAM‐seq, tissue dissociation, Biology (General), QH301-705.5, Medicine (General), R5-920
More Details: Abstract Tissue dissociation, a crucial step in single‐cell sample preparation, can alter the transcriptional state of a sample through the intrinsic cellular stress response. Here we demonstrate a general approach for measuring transcriptional response during sample preparation. In our method, transcripts made during dissociation are labeled for later identification upon sequencing. We found general as well as cell‐type‐specific dissociation response programs in zebrafish larvae, and we observed sample‐to‐sample variation in the dissociation response of mouse cardiomyocytes despite well‐controlled experimental conditions. Finally, we showed that dissociation of the mouse hippocampus can lead to the artificial activation of microglia. In summary, our approach facilitates experimental optimization of dissociation procedures as well as computational removal of transcriptional perturbation response.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1744-4292
Relation: https://doaj.org/toc/1744-4292
DOI: 10.15252/msb.202211147
Access URL: https://doaj.org/article/082ccd7c192740a3a8f78db215e2cb8b
Accession Number: edsdoj.082ccd7c192740a3a8f78db215e2cb8b
Database: Directory of Open Access Journals
Full text is not displayed to guests.
More Details
ISSN:17444292
DOI:10.15252/msb.202211147
Published in:Molecular Systems Biology
Language:English