High-throughput RNA sequencing of paraformaldehyde-fixed single cells

© 2021. The Author(s)..

Single-cell transcriptomic studies that require intracellular protein staining, rare cell sorting, or inactivation of infectious pathogens are severely limited. This is because current high-throughput single-cell RNA sequencing methods are either incompatible with or necessitate laborious sample preprocessing for paraformaldehyde treatment, a common tissue and cell fixation and preservation technique. Here we present FD-seq (Fixed Droplet RNA sequencing), a high-throughput method for droplet-based RNA sequencing of paraformaldehyde-fixed, permeabilized and sorted single cells. We show that FD-seq preserves the RNA integrity and relative gene expression levels after fixation and permeabilization. Furthermore, FD-seq can detect a higher number of genes and transcripts than methanol fixation. We first apply FD-seq to analyze a rare subpopulation of cells supporting lytic reactivation of the human tumor virus KSHV, and identify TMEM119 as a potential host factor that mediates viral reactivation. Second, we find that infection with the human betacoronavirus OC43 leads to upregulation of pro-inflammatory pathways in cells that are exposed to the virus but fail to express high levels of viral genes. FD-seq thus enables integrating phenotypic with transcriptomic information in rare cell subpopulations, and preserving and inactivating pathogenic samples.

Errataetall:

UpdateOf: bioRxiv. 2021 Jan 21;:. - PMID 32995793

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:12

Enthalten in:

Nature communications - 12(2021), 1 vom: 24. Sept., Seite 5636

Sprache:

Englisch

Beteiligte Personen:

Phan, Hoang Van [VerfasserIn]
van Gent, Michiel [VerfasserIn]
Drayman, Nir [VerfasserIn]
Basu, Anindita [VerfasserIn]
Gack, Michaela U [VerfasserIn]
Tay, Savaş [VerfasserIn]

Links:

Volltext

Themen:

1HG84L3525
63231-63-0
Formaldehyde
Journal Article
Paraform
Polymers
RNA
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Y19UC83H8E

Anmerkungen:

Date Completed 26.10.2021

Date Revised 03.05.2023

published: Electronic

UpdateOf: bioRxiv. 2021 Jan 21;:. - PMID 32995793

Citation Status MEDLINE

doi:

10.1038/s41467-021-25871-2

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM33103106X