Fingerprints of a message: integrating positional information on the transcriptome

摘要: The recent explosion of high-throughput sequencing methods applied to RNA molecules is allowing us go beyond the description sequence variants and their relative abundances, as measured by RNA-seq. We can now probe for engagement in polysomes, ribosomes, binding proteins microRNAs sites, secondary structure methylation. These descriptors produce a steadily growing multidimensional array positional information on sequences, whose effective integration only would bring decipher regulatory interplay occurring between proteins, RNAs modifications transcriptome. This ultimately dictates degree mRNA availability translation, thus occurrence cell phenotypes. However, several issues data presentation are slowing down integration. A standardization effort new dataset types produced should be urgently undertaken solve these issues. Providing uniformed experimental details along with datasets processed directly usable employing shared formats greatly simplify efforts, strengthening hypotheses stemming from correlative observations eventually bringing mechanistic understanding.