Rxivist combines preprints from bioRxiv with data from Twitter to help you find the papers being discussed in your field. Currently indexing 70,446 bioRxiv papers from 307,622 authors.

Recently, measurement of RNA at single cell resolution has yielded surprising insights. Methods for single-cell RNA sequencing (scRNA-seq) have received considerable attention, but the broad reliability of single cell methods and the factors governing their performance are still poorly known. Here, we conducted a large-scale control experiment to assess the transfer function of three scRNA-seq methods and factors modulating the function. All three methods detected greater than 70% of the expected number of genes and had a 50% probability of detecting genes with abundance greater than 2 to 4 molecules. Despite the small number of molecules, sequencing depth significantly affected gene detection. While biases in detection and quantification were qualitatively similar across methods, the degree of bias differed, consistent with differences in molecular protocol. Measurement reliability increased with expression level for all methods and we conservatively estimate the measurement transfer functions to be linear above ~5-10 molecules. Based on these extensive control studies, we propose that RNA-seq of single cells has come of age, yielding quantitative biological information.

Download data

• Downloaded 1,018 times
• Download rankings, all-time:
  • Site-wide: 7,992 out of 70,446
  • In genomics: 1,256 out of 4,710
• Year to date:
  • Site-wide: 59,156 out of 70,446
• Since beginning of last month:
  • Site-wide: 61,538 out of 70,446

Altmetric data

Downloads over time

Distribution of downloads per paper, site-wide