Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples

View/ Open
Author
Gierahn, Todd M.
Wadsworth, Marc H.
Butler, Andrew
Satija, Rahul
Love, J. Christopher
Shalek, Alex K.
Published Version
https://doi.org/10.1038/nmeth.4179Metadata
Show full item recordCitation
Gierahn, Todd M., Marc H. Wadsworth, Travis K. Hughes, Bryan D. Bryson, Andrew Butler, Rahul Satija, Sarah Fortune, J. Christopher Love, and Alex K. Shalek. 2017. “Seq-Well: A Portable, Low-Cost Platform for High-Throughput Single-Cell RNA-Seq of Low-Input Samples.” Nature methods 14 (4): 395-398. doi:10.1038/nmeth.4179. http://dx.doi.org/10.1038/nmeth.4179.Abstract
Single-cell RNA-Seq can precisely resolve cellular states but application to sparse 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 semi-permeable membrane, enabling efficient cell lysis and transcript capture. We characterize Seq-Well using species-mixing experiments and PBMCs, and profile thousands of primary human macrophages exposed to tuberculosis.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376227/pdf/Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:34375305
Collections
- FAS Scholarly Articles [18172]
- HMS Scholarly Articles [17875]
- SPH Scholarly Articles [6353]
Contact administrator regarding this item (to report mistakes or request changes)