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Q&A: using Patch-seq to profile single cells

Individual neurons vary widely in terms of their gene expression, morphology, and electrophysiological properties. While many techniques exist to study single-cell variability along one or two of these dimensions, very few techniques can assess all three features for a single cell. We recently devel...

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Detalles Bibliográficos
Autores principales: Cadwell, Cathryn R., Sandberg, Rickard, Jiang, Xiaolong, Tolias, Andreas S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499043/
https://www.ncbi.nlm.nih.gov/pubmed/28679385
http://dx.doi.org/10.1186/s12915-017-0396-0
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author Cadwell, Cathryn R.
Sandberg, Rickard
Jiang, Xiaolong
Tolias, Andreas S.
author_facet Cadwell, Cathryn R.
Sandberg, Rickard
Jiang, Xiaolong
Tolias, Andreas S.
author_sort Cadwell, Cathryn R.
collection PubMed
description Individual neurons vary widely in terms of their gene expression, morphology, and electrophysiological properties. While many techniques exist to study single-cell variability along one or two of these dimensions, very few techniques can assess all three features for a single cell. We recently developed Patch-seq, which combines whole-cell patch clamp recording with single-cell RNA-sequencing and immunohistochemistry to comprehensively profile the transcriptomic, morphologic, and physiologic features of individual neurons. Patch-seq can be broadly applied to characterize cell types in complex tissues such as the nervous system, and to study the transcriptional signatures underlying the multidimensional phenotypes of single cells.
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spelling pubmed-54990432017-07-10 Q&A: using Patch-seq to profile single cells Cadwell, Cathryn R. Sandberg, Rickard Jiang, Xiaolong Tolias, Andreas S. BMC Biol Question and Answer Individual neurons vary widely in terms of their gene expression, morphology, and electrophysiological properties. While many techniques exist to study single-cell variability along one or two of these dimensions, very few techniques can assess all three features for a single cell. We recently developed Patch-seq, which combines whole-cell patch clamp recording with single-cell RNA-sequencing and immunohistochemistry to comprehensively profile the transcriptomic, morphologic, and physiologic features of individual neurons. Patch-seq can be broadly applied to characterize cell types in complex tissues such as the nervous system, and to study the transcriptional signatures underlying the multidimensional phenotypes of single cells. BioMed Central 2017-07-06 /pmc/articles/PMC5499043/ /pubmed/28679385 http://dx.doi.org/10.1186/s12915-017-0396-0 Text en © Tolias et al. 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Question and Answer
Cadwell, Cathryn R.
Sandberg, Rickard
Jiang, Xiaolong
Tolias, Andreas S.
Q&A: using Patch-seq to profile single cells
title Q&A: using Patch-seq to profile single cells
title_full Q&A: using Patch-seq to profile single cells
title_fullStr Q&A: using Patch-seq to profile single cells
title_full_unstemmed Q&A: using Patch-seq to profile single cells
title_short Q&A: using Patch-seq to profile single cells
title_sort q&a: using patch-seq to profile single cells
topic Question and Answer
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499043/
https://www.ncbi.nlm.nih.gov/pubmed/28679385
http://dx.doi.org/10.1186/s12915-017-0396-0
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