Project description:In this study single cell RNA-Seq data was used to train a deconvolution algorithm. The algorithm was validated on paired bulk RNA-Seq profiles.
Project description:A Comparative Study of Human Testes and Epididymis through the Proteomics and RNA-seq Methods
<ul><li>Dataset imported into MassIVE from <a href="https://www.iprox.cn/page/project.html?id=IPX0003098000">https://www.iprox.cn/page/project.html?id=IPX0003098000</a> on 12/10/21</li></ul>
Project description:Here, we validate a novel protocol, Bulk RNA Barcoding and sequencing (BRB-seq), that combines the multiplexing-driven cost-effectiveness of a single-cell RNA-seq protocol with the efficiency of a bulk RNA-seq procedure. For this we use BRB-seq protocol on human pre-adipocytes and differentiated adipocytes, and compare its effectiveness as compared to TruSeq. Indeed, one of the principal limitations of bulk RNA-seq is the time and costs of library preparation, which makes it difficult to profile many samples simultaneously. Here, BRB-seq produces 3’ libraries that exhibit similar gene expression quantification to TruSeq and maintain this quality even with low quality RNA samples.
Project description:Here, we validate a novel protocol, Bulk RNA Barcoding and sequencing (BRB-seq), that combines the multiplexing-driven cost-effectiveness of a single-cell RNA-seq protocol with the efficiency of a bulk RNA-seq procedure. For this we first gauge the applicability of the SCRB-seq protocol on bulk DMSO and BAY treated human LCL, and compare its effectiveness as compared to TruSeq.