Title |
STRT-seq-2i: dual-index 5ʹ single cell and nucleus RNA-seq on an addressable microwell array
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Published in |
Scientific Reports, November 2017
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DOI | 10.1038/s41598-017-16546-4 |
Pubmed ID | |
Authors |
Hannah Hochgerner, Peter Lönnerberg, Rebecca Hodge, Jaromir Mikes, Abeer Heskol, Hermann Hubschle, Philip Lin, Simone Picelli, Gioele La Manno, Michael Ratz, Jude Dunne, Syed Husain, Ed Lein, Maithreyan Srinivasan, Amit Zeisel, Sten Linnarsson |
Abstract |
Single-cell RNA-seq has become routine for discovering cell types and revealing cellular diversity, but archived human brain samples still pose a challenge to current high-throughput platforms. We present STRT-seq-2i, an addressable 9600-microwell array platform, combining sampling by limiting dilution or FACS, with imaging and high throughput at competitive cost. We applied the platform to fresh single mouse cortical cells and to frozen post-mortem human cortical nuclei, matching the performance of a previous lower-throughput platform while retaining a high degree of flexibility, potentially also for other high-throughput applications. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | <1% |
Unknown | 164 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 35 | 21% |
Student > Ph. D. Student | 30 | 18% |
Student > Bachelor | 17 | 10% |
Student > Master | 12 | 7% |
Other | 10 | 6% |
Other | 29 | 18% |
Unknown | 32 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 56 | 34% |
Agricultural and Biological Sciences | 35 | 21% |
Neuroscience | 13 | 8% |
Engineering | 11 | 7% |
Medicine and Dentistry | 7 | 4% |
Other | 10 | 6% |
Unknown | 33 | 20% |