Title |
Q&A: using Patch-seq to profile single cells
|
---|---|
Published in |
BMC Biology, July 2017
|
DOI | 10.1186/s12915-017-0396-0 |
Pubmed ID | |
Authors |
Cathryn R. Cadwell, Rickard Sandberg, Xiaolong Jiang, Andreas S. Tolias |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 18% |
United Kingdom | 3 | 18% |
Netherlands | 1 | 6% |
China | 1 | 6% |
Canada | 1 | 6% |
Austria | 1 | 6% |
Unknown | 7 | 41% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 11 | 65% |
Scientists | 5 | 29% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 151 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 40 | 26% |
Researcher | 30 | 20% |
Student > Master | 15 | 10% |
Other | 9 | 6% |
Professor | 7 | 5% |
Other | 21 | 14% |
Unknown | 29 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 63 | 42% |
Agricultural and Biological Sciences | 28 | 19% |
Biochemistry, Genetics and Molecular Biology | 12 | 8% |
Medicine and Dentistry | 5 | 3% |
Psychology | 2 | 1% |
Other | 6 | 4% |
Unknown | 35 | 23% |