期刊
NATURE METHODS
卷 14, 期 4, 页码 395-+出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/nmeth.4179
关键词
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资金
- Searle Scholars Program
- Beckman Young Investigator Program (NIH)
- NIH New Innovator Award [DP2 OD020839]
- NIH [U24 AI11862-01, P50 HG006193, P30 AI060354, DP3 DK09768101, P01 AI045757, R21 AI106025, R56 AI104274]
- Bill and Melinda Gates Foundation [03629000189]
- Ragon Institute
- Burroughs Wellcome Foundation
- W.M. Keck Foundation
- US Army Research Office through the Institute for Soldier Nanotechnologies [W911NF-13-D-0001]
- Koch Institute Support (core) NIH from the National Cancer Institute [P30-CA14051]
Single-cell RNA-seq can precisely resolve cellular states, but applying this method to low-input samples is challenging. Here, we present Seq-Well, a portable, low-cost platform for massively parallel single-cell RNA-seq. Barcoded mRNA capture beads and single cells are sealed in an array of subnanoliter wells using a semipermeable membrane, enabling efficient cell lysis and transcript capture. We use Seq-Well to profile thousands of primary human macrophages exposed to Mycobacterium tuberculosis.
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