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Single-cell temporal transcriptomics from tiny cytoplasmic biopsies
In a recent issue in Nature, Chen et al. present Live-seq, a single-cell transcriptomic profiling method using picoliter scale single-cell cytoplasmic biopsies instead of complete cell lysis. Since the cells quickly recover and basically remain unaffected after the cytoplasmic extraction, the author...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606287/ https://www.ncbi.nlm.nih.gov/pubmed/36313799 http://dx.doi.org/10.1016/j.crmeth.2022.100319 |
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author | Horvath, Robert |
author_facet | Horvath, Robert |
author_sort | Horvath, Robert |
collection | PubMed |
description | In a recent issue in Nature, Chen et al. present Live-seq, a single-cell transcriptomic profiling method using picoliter scale single-cell cytoplasmic biopsies instead of complete cell lysis. Since the cells quickly recover and basically remain unaffected after the cytoplasmic extraction, the authors transform single-cell RNA sequencing (scRNA-seq) from an end point to a temporal analysis platform. |
format | Online Article Text |
id | pubmed-9606287 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96062872022-10-28 Single-cell temporal transcriptomics from tiny cytoplasmic biopsies Horvath, Robert Cell Rep Methods Spotlight In a recent issue in Nature, Chen et al. present Live-seq, a single-cell transcriptomic profiling method using picoliter scale single-cell cytoplasmic biopsies instead of complete cell lysis. Since the cells quickly recover and basically remain unaffected after the cytoplasmic extraction, the authors transform single-cell RNA sequencing (scRNA-seq) from an end point to a temporal analysis platform. Elsevier 2022-10-17 /pmc/articles/PMC9606287/ /pubmed/36313799 http://dx.doi.org/10.1016/j.crmeth.2022.100319 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Spotlight Horvath, Robert Single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
title | Single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
title_full | Single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
title_fullStr | Single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
title_full_unstemmed | Single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
title_short | Single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
title_sort | single-cell temporal transcriptomics from tiny cytoplasmic biopsies |
topic | Spotlight |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606287/ https://www.ncbi.nlm.nih.gov/pubmed/36313799 http://dx.doi.org/10.1016/j.crmeth.2022.100319 |
work_keys_str_mv | AT horvathrobert singlecelltemporaltranscriptomicsfromtinycytoplasmicbiopsies |