Transcript’s abundance is typically considered a proxy of the corresponding genes transcriptional activity. Yet, a poorly transcribed gene could see many of its RNA molecules accumulate just because they are highly stable. Conversely, if a gene is very actively transcribed ...
Read More »Proteome profiling outperforms transcriptome profiling for co-expression based gene function prediction
Co-expression of mRNAs under multiple conditions is commonly used to infer co-functionality of their gene products despite well-known limitations of this “guilt-by-association” (GBA) approach. Recent advancements in mass spectrometry-based proteomic technologies have enabled global expression profiling at the protein level; ...
Read More »iRNA-seq – computational method for genome-wide assessment of acute transcriptional regulation from total RNA-seq data
RNA-seq is a sensitive and accurate technique to compare steady-state levels of RNA between different cellular states. However, as it does not provide an account of transcriptional activity per se, other technologies are needed to more precisely determine acute transcriptional ...
Read More »RNA stability is an important determinant of eventual transcript levels
Histone epigenome data determined by chromatin immunoprecipitation sequencing (ChIP-seq) is used in identifying transcript regions and estimating expression levels. However, this estimation does not always correlate with eventual RNA expression levels measured by RNA sequencing (RNA-seq). Part of the inconsistency ...
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