GSE109162
High-throughput, Efficient, and Unbiased Capture of Small RNAs from Low-input Samples for Sequencing
We developed a high-throughput sequencing protocol that efficiently captures small RNAs from low input samples while minimizing inherent biases associated with library production.  The protocol was builds on previously published method that adds a barcode to samples at the earliest step in preparation such that all downstream manipulations can be performed on a pool of many samples thereby greatly reducing reagent usage and workload. We optimized adapter concentrations and showed modified adapters greatly increases the efficiency of small RNA capture. This work also demonstrates that unique molecular identifiers incorporated into the adapters can be used to bioinformatically remove PCR duplication. Overall design: The analysis was performed with replicates as indicated in the sample titles.