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Digital microfluidic isolation of single cells for -Omics
We introduce Digital microfluidic Isolation of Single Cells for -Omics (DISCO), a platform that allows users to select particular cells of interest from a limited initial sample size and connects single-cell sequencing data to their immunofluorescence-based phenotypes. Specifically, DISCO combines d...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658233/ https://www.ncbi.nlm.nih.gov/pubmed/33177493 http://dx.doi.org/10.1038/s41467-020-19394-5 |
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author | Lamanna, Julian Scott, Erica Y. Edwards, Harrison S. Chamberlain, M. Dean Dryden, Michael D. M. Peng, Jiaxi Mair, Barbara Lee, Adam Chan, Calvin Sklavounos, Alexandros A. Heffernan, Austin Abbas, Farhana Lam, Charis Olson, Maxwell E. Moffat, Jason Wheeler, Aaron R. |
author_facet | Lamanna, Julian Scott, Erica Y. Edwards, Harrison S. Chamberlain, M. Dean Dryden, Michael D. M. Peng, Jiaxi Mair, Barbara Lee, Adam Chan, Calvin Sklavounos, Alexandros A. Heffernan, Austin Abbas, Farhana Lam, Charis Olson, Maxwell E. Moffat, Jason Wheeler, Aaron R. |
author_sort | Lamanna, Julian |
collection | PubMed |
description | We introduce Digital microfluidic Isolation of Single Cells for -Omics (DISCO), a platform that allows users to select particular cells of interest from a limited initial sample size and connects single-cell sequencing data to their immunofluorescence-based phenotypes. Specifically, DISCO combines digital microfluidics, laser cell lysis, and artificial intelligence-driven image processing to collect the contents of single cells from heterogeneous populations, followed by analysis of single-cell genomes and transcriptomes by next-generation sequencing, and proteomes by nanoflow liquid chromatography and tandem mass spectrometry. The results described herein confirm the utility of DISCO for sequencing at levels that are equivalent to or enhanced relative to the state of the art, capable of identifying features at the level of single nucleotide variations. The unique levels of selectivity, context, and accountability of DISCO suggest potential utility for deep analysis of any rare cell population with contextual dependencies. |
format | Online Article Text |
id | pubmed-7658233 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76582332020-11-17 Digital microfluidic isolation of single cells for -Omics Lamanna, Julian Scott, Erica Y. Edwards, Harrison S. Chamberlain, M. Dean Dryden, Michael D. M. Peng, Jiaxi Mair, Barbara Lee, Adam Chan, Calvin Sklavounos, Alexandros A. Heffernan, Austin Abbas, Farhana Lam, Charis Olson, Maxwell E. Moffat, Jason Wheeler, Aaron R. Nat Commun Article We introduce Digital microfluidic Isolation of Single Cells for -Omics (DISCO), a platform that allows users to select particular cells of interest from a limited initial sample size and connects single-cell sequencing data to their immunofluorescence-based phenotypes. Specifically, DISCO combines digital microfluidics, laser cell lysis, and artificial intelligence-driven image processing to collect the contents of single cells from heterogeneous populations, followed by analysis of single-cell genomes and transcriptomes by next-generation sequencing, and proteomes by nanoflow liquid chromatography and tandem mass spectrometry. The results described herein confirm the utility of DISCO for sequencing at levels that are equivalent to or enhanced relative to the state of the art, capable of identifying features at the level of single nucleotide variations. The unique levels of selectivity, context, and accountability of DISCO suggest potential utility for deep analysis of any rare cell population with contextual dependencies. Nature Publishing Group UK 2020-11-11 /pmc/articles/PMC7658233/ /pubmed/33177493 http://dx.doi.org/10.1038/s41467-020-19394-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lamanna, Julian Scott, Erica Y. Edwards, Harrison S. Chamberlain, M. Dean Dryden, Michael D. M. Peng, Jiaxi Mair, Barbara Lee, Adam Chan, Calvin Sklavounos, Alexandros A. Heffernan, Austin Abbas, Farhana Lam, Charis Olson, Maxwell E. Moffat, Jason Wheeler, Aaron R. Digital microfluidic isolation of single cells for -Omics |
title | Digital microfluidic isolation of single cells for -Omics |
title_full | Digital microfluidic isolation of single cells for -Omics |
title_fullStr | Digital microfluidic isolation of single cells for -Omics |
title_full_unstemmed | Digital microfluidic isolation of single cells for -Omics |
title_short | Digital microfluidic isolation of single cells for -Omics |
title_sort | digital microfluidic isolation of single cells for -omics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7658233/ https://www.ncbi.nlm.nih.gov/pubmed/33177493 http://dx.doi.org/10.1038/s41467-020-19394-5 |
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