Cdk7 performs two essential but distinct functions as a CDK-activating kinase (CAK) required for cell-cycle progression and as the RNA polymerase II (Pol II) CTD kinase of general transcription factor IIH. To investigate the substrate specificity underlying this dual function, we created an analog-sensitive (AS) Cdk7 able to use bulky ATP derivatives. Cdk7-AS-cyclin H-Mat1 phosphorylates approximately 10-15 endogenous polypeptides in nuclear extracts. We identify seven of these as known and previously unknown Cdk7 substrates that define two classes: proteins such as Pol II and transcription elongation factor Spt5, recognized efficiently only by the fully activated Cdk7 complex, through sequences surrounding the site of phosphorylation; and CDKs, targeted equivalently by all active forms of Cdk7, dependent on substrate motifs remote from the phosphoacceptor residue. Thus, Cdk7 accomplishes dual functions in cell-cycle control and transcription not through promiscuity but through distinct, stringent modes of substrate recognition.
The microRNA (miRNA) landscape changes during the progression of cancer. We defined a metastasis-associated miRNA landscape using a systematic approach. We profiled and validated miRNA and mRNA expression in a unique series of human colorectal metastasis tissues together with their matched primary tumors and corresponding normal tissues. We identified an exclusive miRNA signature that is differentially expressed in metastases. Three of these miRNAs were identified as key drivers of an EMT-regulating network acting though a number of novel targets. These targets include SIAH1, SETD2, ZEB2, and especially FOXN3, which we demonstrated for the first time as a direct transcriptional suppressor of N-cadherin. The modulation of Ncadherin expression had significant impact on migration, invasion, and metastasis in two different in vivo models. The significant deregulation of the miRNAs defining the network was confirmed in an independent patient set as well as in a database of diverse malignancies derived from more than 6,000 patients. Our data define a novel metastasis-orchestrating network based on systematic hypothesis generation from metastasis tissues. Cancer Res; 75(15); 3010-9. Ó2015 AACR.
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