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).
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133752 | PMC |
http://dx.doi.org/10.1016/j.xpro.2022.101283 | DOI Listing |
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