Assessing characteristics of RNA amplification methods for single cell RNA sequencing.

ABSTRACT:

Background

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.

Results

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 qualitativel

SUBMITTER: Dueck HR 

PROVIDER: S-EPMC5122016 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature