Measure transcript integrity using RNA-seq data

ABSTRACT: Achieved biospecimens annotated with patient clinical characteristics are unique resources for translational research. However, RNA extracted from the achieved tissues is often degraded. RNA degradation can have a significant impact on the measure of transcript abundance that can lead to an increase rate of erroneous differentially expressed genes. Here, we are presenting the transcript integrity number (TIN) algorithm to measure the RNA degradation at transcript level. When applied to RNA-seq datasets generated from human brain Glioblastome cell line, human peripheral blood mononuclear cells, and metastatic castration resistant prostate cancer (mCRPC) clinical tissues, TIN provided a more reliable and more sensitive measure of RNA degradation than RIN, as demonstrated by much higher conc

ORGANISM(S): Homo sapiens

SUBMITTER: LIGUO WANG 

PROVIDER: E-GEOD-70285 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress