Control of gene expression during T cell activation: alternate regulation of mRNA transcription and mRNA stability.

摘要: Microarray technology has become highly valuable for identifying complex global changes in gene expression patterns. The effective correlation of observed with shared transcription regulatory elements remains difficult to demonstrate convincingly. One reason this difficulty may result from the intricate convergence both transcriptional and mRNA turnover events which, together, directly influence steady-state levels. In order investigate relative contribution stability regulation standard analyses expression, we used two distinct microarray methods which individually measure nuclear polyA expression. Gene profiles were obtained (whole-cell) run-on (newly transcribed) RNA across a time course one hour following activation human Jurkat T cells PMA plus ionomycin. Comparative analysis revealed that account as much 50% all measurements system, inferred by absence any corresponding activity these groups genes. Genes displayed dramatic elevations shown be inhibited Actinomycin D (ActD) pre-treatment while large numbers genes regulated only through altered (both up down) ActD-resistant. Consistent patterns transcribed stability-regulated We propose contributes significantly response external stimuli, measured high throughput systems.