Table 1.
Approach | Strengths | Weaknesses |
---|---|---|
Genomics | Gives all sequence information on exons (whole exome sequencing) and additionally on introns, promoters, enhancers, intergenic regions, etc (whole genome sequencing) Identifies essential alterations |
Prediction of final biological effect limited |
Epigenomics | Gives information on potential regulation of genes | Dynamic nature and differences between cell types is often not reflected Correlation to gene expression may be limited |
Cistromics | Describes genome architecture Gives information on gene regulation |
Limited to specific binding factors or histone modifications analyzed Necessitates validated tools (e.g., high-grade selective antibodies) Correlation to gene expression may be limitedExpensive |
Transcriptomics | Global expression analysis May detect all splice variants Sensitive, high dynamic range and quantitative Cell-specific transcriptomes can be resolved in single-cell experiments |
Represents only an intermediate step Differences between organ- and cell-specific transcriptomes Correlation to protein levels not always linear |
Proteomics | Addresses final regulation level Proteins are the main cellular effectors |
Some proteins are difficult to separate High dynamic range of proteome makes detection difficult Absolute quantification necessitates labeling Individual experiments give only limited coverage Post-translation modifications may have strong impact on activity but can be difficult to analyze |
Metabolomics | Close to phenotype Allows repetitive sampling of accessible biofluids |
High diversity of metabolites of which only fraction is measured May be difficult to analyze and interpret |