PARALLEL NUCLEAR RUN-OFF ANALYSIS

描述(改编自调查者摘要)：表情分析 利用基因芯片正成为基因分析的有力工具 表达和调控。这样的方法论允许数以千计的 同时跟在后面的成绩单。这使得我们能够发现 基因表达的模式以及基因与现象和 大规模提出新的监管假设。然而，一些人 重要的基因转录变量没有在测量中被捕获 稳态信使核糖核酸丰度，如转录与转录后 控制和立即-早期控制与延迟控制。提交人说，这些 可以通过适应核径流来研究控制机制的类型 化验到数组格式。作者预测，这种普遍的方法 可以显著增强解读文字记录丰富数据的能力 在现有和未来的表达简档数据库中。

DESCRIPTION (Adapted from the investigator's abstract): Expression profiling using cDNA arrays is becoming a powerful tool for the analysis of gene expression and regulation. Such methodology allows the abundances of thousands of transcripts to be followed simultaneously. This allows the discovery of patterns in gene expression and the association of genes with phenomena and formulation of new regulatory hypotheses on a grand scale. However, a number of important gene transcription variables are not captured in the measurement of steady state mRNA abundance, such as transcriptional vs. post-transcriptional control and immediate-early vs. delayed control. The author states that these types of control mechanisms can be investigated by adapting nuclear run-off assays to the array format. The author predicts that this general approach could significantly enhance the ability to interpret transcript abundance data in existing and future expression profiling databases.