Gierahn, Todd M.Wadsworth, Marc H.Hughes, TravisBryson, BryanButler, AndrewSatija, RahulFortune, SarahLove, J. ChristopherShalek, Alex K.2017-11-212017Gierahn, 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.http://nrs.harvard.edu/urn-3:HUL.InstRepos:34375305Single-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.en-USJournal Article2017-11-2110.1038/nmeth.4179