Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 67,459 bioRxiv papers from 297,237 authors.

Despite rapid developments in single cell sequencing technology, sample-specific batch effects, detection of cell doublets, and the cost of generating massive datasets remain outstanding challenges. Here, we introduce cell "hashing", where oligo-tagged antibodies against ubiquitously expressed surface proteins are used to uniquely label cells from distinct samples, which can be subsequently pooled. By sequencing these tags alongside the cellular transcriptome, we can assign each cell to its sample of origin, and robustly identify doublets originating from multiple samples. We demonstrate our approach by pooling eight human PBMC samples on a single run of the 10x Chromium system, substantially reducing our per-cell costs for library generation. Cell "hashing" is inspired by, and complementary to, elegant multiplexing strategies based on genetic variation, which we also leverage to validate our results. We therefore envision that our approach will help to generalize the benefits of single cell multiplexing to diverse samples and experimental designs.

Download data

• Downloaded 11,396 times
• Download rankings, all-time:
  • Site-wide: 91 out of 67,450
  • In genomics: 27 out of 4,579
• Year to date:
  • Site-wide: 240 out of 67,450
• Since beginning of last month:
  • Site-wide: 2,081 out of 67,450

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide