Joint profiling of chromatin accessibility and gene expression in thousands of single cells
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- Junyue Cao
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Darren A. Cusanovich
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Vijay Ramani
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Delasa Aghamirzaie
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Hannah A. Pliner
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Andrew J. Hill
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Riza M. Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Jose L. McFaline-Figueroa
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Jonathan S. Packer
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Lena Christiansen
- Illumina Inc., San Diego, CA, USA.
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- Frank J. Steemers
- Illumina Inc., San Diego, CA, USA.
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- Andrew C. Adey
- Department of Molecular and Medical Genetics, Oregon Health & Science University, Portland, OR, USA.
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- Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
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- Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
説明
<jats:title>Single-cell chromatin and RNA analysis</jats:title> <jats:p> Single-cell analyses have begun to provide insight into the differences among and within the individual cells that make up a tissue or organism. However, technological barriers owing to the small amount of material present in each single cell have prevented parallel analyses. Cao <jats:italic>et al.</jats:italic> present sci-CAR, a pooled barcode method that jointly analyzes both the RNA transcripts and chromatin profiles of single cells. By applying sci-CAR to lung adenocarcinoma cells and mouse kidney tissue, the authors demonstrate precision in assessing expression and genome accessibility at a genome-wide scale. The approach provides an improvement over bulk analysis, which can be confounded by differing cellular subgroups. </jats:p> <jats:p> <jats:italic>Science</jats:italic> , this issue p. <jats:related-article xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="doi" issue="6409" page="1380" related-article-type="in-this-issue" vol="361" xlink:href="10.1126/science.aau0730">1380</jats:related-article> </jats:p>
収録刊行物
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- Science
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Science 361 (6409), 1380-1385, 2018-09-28
American Association for the Advancement of Science (AAAS)