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A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages
We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line line...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729820/ https://www.ncbi.nlm.nih.gov/pubmed/26732280 http://dx.doi.org/10.1038/ncomms10220 |
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author | Kimmerling, Robert J. Lee Szeto, Gregory Li, Jennifer W. Genshaft, Alex S. Kazer, Samuel W. Payer, Kristofor R. de Riba Borrajo, Jacob Blainey, Paul C. Irvine, Darrell J. Shalek, Alex K. Manalis, Scott R. |
author_facet | Kimmerling, Robert J. Lee Szeto, Gregory Li, Jennifer W. Genshaft, Alex S. Kazer, Samuel W. Payer, Kristofor R. de Riba Borrajo, Jacob Blainey, Paul C. Irvine, Darrell J. Shalek, Alex K. Manalis, Scott R. |
author_sort | Kimmerling, Robert J. |
collection | PubMed |
description | We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line lineages. Here we report that both cell types have greater intra- than inter-lineage transcriptional similarity. For CD8+ T-cells, genes with functional annotation relating to lymphocyte differentiation and function—including Granzyme B—are enriched among the genes that demonstrate greater intra-lineage expression level similarity. Analysis of gene expression covariance with matched measurements of time since division reveals cell type-specific transcriptional signatures that correspond with cell cycle progression. We believe that the ability to directly measure the effects of lineage and cell cycle-dependent transcriptional profiles of single cells will be broadly useful to fields where heterogeneous populations of cells display distinct clonal trajectories, including immunology, cancer, and developmental biology. |
format | Online Article Text |
id | pubmed-4729820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47298202016-02-08 A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages Kimmerling, Robert J. Lee Szeto, Gregory Li, Jennifer W. Genshaft, Alex S. Kazer, Samuel W. Payer, Kristofor R. de Riba Borrajo, Jacob Blainey, Paul C. Irvine, Darrell J. Shalek, Alex K. Manalis, Scott R. Nat Commun Article We introduce a microfluidic platform that enables off-chip single-cell RNA-seq after multi-generational lineage tracking under controlled culture conditions. We use this platform to generate whole-transcriptome profiles of primary, activated murine CD8+ T-cell and lymphocytic leukemia cell line lineages. Here we report that both cell types have greater intra- than inter-lineage transcriptional similarity. For CD8+ T-cells, genes with functional annotation relating to lymphocyte differentiation and function—including Granzyme B—are enriched among the genes that demonstrate greater intra-lineage expression level similarity. Analysis of gene expression covariance with matched measurements of time since division reveals cell type-specific transcriptional signatures that correspond with cell cycle progression. We believe that the ability to directly measure the effects of lineage and cell cycle-dependent transcriptional profiles of single cells will be broadly useful to fields where heterogeneous populations of cells display distinct clonal trajectories, including immunology, cancer, and developmental biology. Nature Publishing Group 2016-01-06 /pmc/articles/PMC4729820/ /pubmed/26732280 http://dx.doi.org/10.1038/ncomms10220 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Kimmerling, Robert J. Lee Szeto, Gregory Li, Jennifer W. Genshaft, Alex S. Kazer, Samuel W. Payer, Kristofor R. de Riba Borrajo, Jacob Blainey, Paul C. Irvine, Darrell J. Shalek, Alex K. Manalis, Scott R. A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages |
title | A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages |
title_full | A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages |
title_fullStr | A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages |
title_full_unstemmed | A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages |
title_short | A microfluidic platform enabling single-cell RNA-seq of multigenerational lineages |
title_sort | microfluidic platform enabling single-cell rna-seq of multigenerational lineages |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729820/ https://www.ncbi.nlm.nih.gov/pubmed/26732280 http://dx.doi.org/10.1038/ncomms10220 |
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