Ray, D. et al. A compendium of RNA-binding motifs for decoding gene regulation.
Measuring multiple omics profiles from the same single cell opens up the opportunity to decode molecular regulation that underlies intercellular heterogeneity in development and disease.
Despite modern technologies and novel computational approaches, decoding causal transcriptional regulation remains challenging.
Despite a combination of modern technologies such as high density single nucleotide polymorphism (SNP) panels, transcriptional profiling, ChIP-on-chip data [5], [6], together with computational approaches including eQTL [7], eQED [8], Regulatory Potential [9] and Regulatory Impact Factors [10], decoding causal transcriptional regulation remains a challenge.
Decoding causal transcriptional regulation remains challenging in muscle, as only a small number of well characterised TF is proposed to regulate development (Hudson et al. 2009).
Social competence deficits can be unobservable, e.g., deficits in social cognition, regulation of attention, decoding and interpretation of information, empathy, and regulation of behavior, but can also be observable in motor and verbal behavior, e.g., frequency and duration of eye contact, gestures, and initialization of a conversation [ 36].
Understanding the functional roles of RNA cis-regulatory elements is essential for decoding complex programs that underlie the dynamic regulation of transcript stability, splicing, localization, and translation.
Considering their ability to modify gene expression through direct action on mRNA the analysis of miRNAs is an important emerging field of study in decoding the genome, its epigenetic modification, and its regulation.
It takes part in almost every aspect of processing genetic information, including decoding codon triplets, alternative splicing, peptide bond formation and the regulation of these mechanisms (Pyle, 2002).
In this study, using both experimental and computational methods, we found that dual specificity phosphatase regulation of the activity of the three MAPKs through negative feedback is required, and forms the basis for decoding the frequency of pulsatile GnRH.
