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Single Cell Transcriptomics: Methods and Applications
Traditionally, gene expression measurements were performed on “bulk” samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were prev...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354386/ https://www.ncbi.nlm.nih.gov/pubmed/25806353 http://dx.doi.org/10.3389/fonc.2015.00053 |
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author | Kanter, Itamar Kalisky, Tomer |
author_facet | Kanter, Itamar Kalisky, Tomer |
author_sort | Kanter, Itamar |
collection | PubMed |
description | Traditionally, gene expression measurements were performed on “bulk” samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in “bulk” measurements can now be observed directly. In this review, we will survey emerging technologies for single cell transcriptomics, and describe how they are used to study complex disease such as cancer, as well as other biological phenomena such as tissue regeneration, embryonic development, and immune response. |
format | Online Article Text |
id | pubmed-4354386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43543862015-03-24 Single Cell Transcriptomics: Methods and Applications Kanter, Itamar Kalisky, Tomer Front Oncol Oncology Traditionally, gene expression measurements were performed on “bulk” samples containing populations of thousands of cells. Recent advances in genomic technology have made it possible to measure gene expression in hundreds of individual cells at a time. As a result, cellular properties that were previously masked in “bulk” measurements can now be observed directly. In this review, we will survey emerging technologies for single cell transcriptomics, and describe how they are used to study complex disease such as cancer, as well as other biological phenomena such as tissue regeneration, embryonic development, and immune response. Frontiers Media S.A. 2015-03-10 /pmc/articles/PMC4354386/ /pubmed/25806353 http://dx.doi.org/10.3389/fonc.2015.00053 Text en Copyright © 2015 Kanter and Kalisky. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Kanter, Itamar Kalisky, Tomer Single Cell Transcriptomics: Methods and Applications |
title | Single Cell Transcriptomics: Methods and Applications |
title_full | Single Cell Transcriptomics: Methods and Applications |
title_fullStr | Single Cell Transcriptomics: Methods and Applications |
title_full_unstemmed | Single Cell Transcriptomics: Methods and Applications |
title_short | Single Cell Transcriptomics: Methods and Applications |
title_sort | single cell transcriptomics: methods and applications |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4354386/ https://www.ncbi.nlm.nih.gov/pubmed/25806353 http://dx.doi.org/10.3389/fonc.2015.00053 |
work_keys_str_mv | AT kanteritamar singlecelltranscriptomicsmethodsandapplications AT kaliskytomer singlecelltranscriptomicsmethodsandapplications |