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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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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. |
format | Online Article Text |
id | pubmed-7900351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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