Erratum: Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput

By Todd M. Gierahn, M. Wadsworth, T. Hughes, Bryan D. Bryson, Andrew W. Butler, Rahul Satija, Sarah M. Fortune, J. Love, A. Shalek. Nature Methods, 2017

220 citations recorded by the source corpus.

Subfields: Biophysics, Cellular and Molecular Neuroscience

View Paper: https://www.semanticscholar.org/paper/00ae826569c660f26cdd22696ba24311a0788ae0

Citations in the corpus

• Mapping the Mouse Cell Atlas by Microwell-Seq. (2018, unknown): “Massively parallel assays can process thousands of single cells simultaneously to measure transcriptional profiles with rapidly decreasing costs (Fan et al., 2015; Gierahn et al., 2017; Klein et al., 2015; Macosko et al., 2015).”
• Scaling by shrinking: empowering single-cell ‘omics’ with microfluidic devices (2017, unknown): “b | Seq-Well, a massively parallel single-cell RNA sequencing (scRNA-Seq) method from Gierahn et al.(96), combines early bead-based”
• The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution (2020, unknown): “, 2015), microwells (Gierahn et al., 2017), and combinatorial indexing (Rosenberg et al.”