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Gene expression, protein abundance and motifs PSSMs can be expressed as matrices.
These differentially expressed proteins, in theory, may arise from altered gene expression, protein modification, degradation, or changes in protein stability.
Quantified cell responses included gene expression, protein expression, commonly used cell surface markers, and functional assays.
Several global approaches are routinely employed to predict function, including sophisticated sequence analysis, gene expression, protein interaction, and protein structure.
Strict correlation between this enzyme's gene expression, protein level and enzyme activity is not observed, thus confirming multilevel-regulation.
Synonymous mutations have been shown to impact gene expression, protein folding and fitness, however, direct evidence that they can be positively selected, and so contribute to adaptation, is lacking.
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During gene expression, protein-coding transcripts are shaped by multiple processing events: 5′ end capping, pre-mRNA splicing, RNA editing, and 3′ end cleavage and polyadenylation.
Ranked lists are common for reporting the results of high-throughput screens, whether experimental (e.g., differential gene expression, protein-protein interactions, etc).
Only direct interactions--direct regulation of gene expression, protein-protein binding, or promoter binding--were used.
Diverse heterogeneous data including: gene-expression, protein-protein interaction network, ontology-based similarity and topological measures and tissue-specific are integrated.
Plants respond to stresses through changes in gene expression, protein abundance, and metabolite accumulation.
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