A primer for generating and using transcriptome data and gene sets

Development. 2020 Dec 23;147(24):dev193854. doi: 10.1242/dev.193854.


Transcriptomic approaches have provided a growing set of powerful tools with which to study genome-wide patterns of gene expression. Rapidly evolving technologies enable analysis of transcript abundance data from particular tissues and even single cells. This Primer discusses methods that can be used to collect and profile RNAs from specific tissues or cells, process and analyze high-throughput RNA-sequencing data, and define sets of genes that accurately represent a category, such as tissue-enriched or tissue-specific gene expression.

Keywords: Gene sets; Resources; Transcriptomics.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Animals
  • Computational Biology*
  • Gene Expression Profiling / trends*
  • Gene Expression Regulation, Developmental / genetics
  • Genome / genetics
  • High-Throughput Nucleotide Sequencing / trends
  • Organ Specificity / genetics
  • RNA / genetics*
  • Transcriptome / genetics*


  • RNA