Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison

Abstract

Summary: RNA-sequencing and quantitative proteomic profiling simultaneously measure thousands of molecules and provide opportunities to decipher the transcriptomic and proteomic landscapes of cohort specimens for basic and health research. We present a protocol for the analysis of paired transcriptome and proteome data to identify and compare molecular subgroups among cohort specimens. We demonstrate a streamlined analysis workflow, applicable for both transcriptome and proteome data, which allows the comparison of two data types for RNA-protein variations and for derivation of biological implications.For complete details on the use and execution of this protocol, please refer to Yang et al. (2021).

Keywords

• Bioinformatics
• Cancer
• RNAseq
• Gene Expression
• Proteomics