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Protocol for analysis of RNA-sequencing and proteome profiling data for subgroup identification and comparison
Kevin C Yang1, Sharon M Gorski1,2,3,4
1Canada's Michael Smith Genome Sciences Centre at BC Cancer, Vancouver, BC V5Z 1L3, Canada.
STAR Protocols
|May 31, 2022
Summary
This study introduces a streamlined protocol for analyzing paired RNA and protein data from cohort specimens. This method helps identify molecular subgroups and understand RNA-protein variations for biological insights.
Area of Science:
- Biochemistry
- Genomics
- Proteomics
Background:
- RNA-sequencing and quantitative proteomic profiling are powerful tools for molecular analysis in research.
- Simultaneous measurement of thousands of molecules offers insights into transcriptomic and proteomic landscapes.
- Analyzing paired data is crucial for understanding complex biological systems.
Purpose of the Study:
- To present a protocol for analyzing paired transcriptome and proteome data.
- To identify and compare molecular subgroups within cohort specimens.
- To enable comparison of RNA-protein variations and derive biological implications.
Main Methods:
- Development of a streamlined analysis workflow for both transcriptome and proteome data.
- Application of the protocol to paired molecular data from cohort specimens.
- Comparison of RNA and protein data to identify variations.
Main Results:
- A protocol for the analysis of paired RNA and proteomic data is presented.
- The workflow allows for the identification and comparison of molecular subgroups.
- The analysis facilitates the study of RNA-protein variations.
Conclusions:
- The presented protocol offers a streamlined approach for analyzing paired transcriptomic and proteomic data.
- This method aids in deciphering molecular subgroups and understanding biological implications.
- The workflow is applicable to basic and health research involving cohort specimens.