Identification of Genes Post-Transcriptionally Regulated from RNA-seq: The Case Study of Liver Hepatocellular Carcinoma

Methods Mol Biol. 2021:2284:271-287. doi: 10.1007/978-1-0716-1307-8_15.

Abstract

The field of transcriptional regulation generally assumes that changes in transcripts levels reflect changes in transcriptional status of the corresponding gene. While this assumption might hold true for a large population of transcripts, a considerable and still unrecognized fraction of the variation might involve other steps of the RNA lifecycle, that is the processing of the premature RNA, and degradation of the mature RNA. Discrimination between these layers requires complementary experimental techniques, such as RNA metabolic labeling or block of transcription experiments. Nonetheless, the analysis of the premature and mature RNA, derived from intronic and exonic read counts in RNA-seq data, allows distinguishing between transcriptionally and post-transcriptionally regulated genes, although not recognizing the specific step involved in the post-transcriptional response, that is processing, degradation, or a combination of the two. We illustrate how the INSPEcT R/Bioconductor package could be used to infer post-transcriptional regulation in TCGA RNA-seq samples for Hepatocellular Carcinoma.

Keywords: Cancer; Hepatocellular carcinoma; Post-transcriptional regulation; RNA-seq; Transcriptional regulation.

MeSH terms

  • Carcinoma, Hepatocellular / genetics*
  • Computational Biology / methods
  • Datasets as Topic
  • Gene Expression Profiling / methods
  • Gene Expression Regulation, Neoplastic
  • High-Throughput Nucleotide Sequencing / methods
  • Humans
  • Liver Neoplasms / genetics*
  • RNA Processing, Post-Transcriptional / genetics*
  • RNA-Seq / methods*
  • Sequence Analysis, RNA / methods
  • Software