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Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering

Single-cell transcriptomics suffer from sensitivity limits that restrict low abundance transcript identification, affects clustering and can hamper downstream analyses. Here, we describe Constellation sequencing (Constellation-Seq), a molecular transcriptome filter that delivers two orders of magnit...

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Autores principales: Vallejo, Andres F., Davies, James, Grover, Amit, Tsai, Ching-Hsuan, Jepras, Robert, Polak, Marta E., West, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900351/
https://www.ncbi.nlm.nih.gov/pubmed/33665566
http://dx.doi.org/10.1016/j.isci.2021.102147
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author Vallejo, Andres F.
Davies, James
Grover, Amit
Tsai, Ching-Hsuan
Jepras, Robert
Polak, Marta E.
West, Jonathan
author_facet Vallejo, Andres F.
Davies, James
Grover, Amit
Tsai, Ching-Hsuan
Jepras, Robert
Polak, Marta E.
West, Jonathan
author_sort Vallejo, Andres F.
collection PubMed
description Single-cell transcriptomics suffer from sensitivity limits that restrict low abundance transcript identification, affects clustering and can hamper downstream analyses. Here, we describe Constellation sequencing (Constellation-Seq), a molecular transcriptome filter that delivers two orders of magnitude sensitivity gains by maximizing read utility while reducing the data sparsity and sequencing costs. The technique reliably measures changes in gene expression and was demonstrated by resolving rare dendritic cell populations from a peripheral blood mononuclear cell sample sample and exploring their biology with extreme resolution. The simple and powerful method is fully compatible with standard scRNA-Seq library preparation protocols and can be used for hypothesis testing, marker validation or investigating pathways.
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spelling pubmed-79003512021-03-03 Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering Vallejo, Andres F. Davies, James Grover, Amit Tsai, Ching-Hsuan Jepras, Robert Polak, Marta E. West, Jonathan iScience Article Single-cell transcriptomics suffer from sensitivity limits that restrict low abundance transcript identification, affects clustering and can hamper downstream analyses. Here, we describe Constellation sequencing (Constellation-Seq), a molecular transcriptome filter that delivers two orders of magnitude sensitivity gains by maximizing read utility while reducing the data sparsity and sequencing costs. The technique reliably measures changes in gene expression and was demonstrated by resolving rare dendritic cell populations from a peripheral blood mononuclear cell sample sample and exploring their biology with extreme resolution. The simple and powerful method is fully compatible with standard scRNA-Seq library preparation protocols and can be used for hypothesis testing, marker validation or investigating pathways. Elsevier 2021-02-05 /pmc/articles/PMC7900351/ /pubmed/33665566 http://dx.doi.org/10.1016/j.isci.2021.102147 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vallejo, Andres F.
Davies, James
Grover, Amit
Tsai, Ching-Hsuan
Jepras, Robert
Polak, Marta E.
West, Jonathan
Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
title Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
title_full Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
title_fullStr Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
title_full_unstemmed Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
title_short Resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
title_sort resolving cellular systems by ultra-sensitive and economical single-cell transcriptome filtering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900351/
https://www.ncbi.nlm.nih.gov/pubmed/33665566
http://dx.doi.org/10.1016/j.isci.2021.102147
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