Transcriptomics vs. Protecmics
The purpose of analyzing transcriptome and proteome data.
The biological process regulation trajectory to the gene transcription level is often consider the figure of biological phenotype. In that scenario,
mRNA expression pattern is recognized as the “biomarker” of biological process.However, there’re needs in discovering novel target genes
regulated by transcription factors, under certain collaboration with cofactors. Therefore, the integration of gene expression with the
co-Immunoprecipitation (co-IP) of transcription factor, e.g., ERa or Erb in this case.
Here’re some example:
Legend:
Strategies for trans-transcriptomic vs proteomic analysis.
A. The analysis flow chart for bioinformatics.
B. Immunoblot of ERa and ERb for Proteome analysis, and the protein Id numbers identified by proteomics of the co-IP.
C. Protemomics data analysis of ERa and ERb co-IP.
D. Trans-omics analyses of transcriptome and Proteome result. (Theranostics,Kao et al, 2018; doi: 10.7150/thno.23624)
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