A Novel Method to Isolate RNase MRP Using RNA Streptavidin Aptamer Tags.

Interactions between RNA-binding proteins and RNA molecules are at the center of multiple biological processes. Therefore, accurate characterization of the composition of ribonucleoprotein complexes (RNPs) is crucial. Ribonuclease (RNase) for mitochondrial RNA processing (MRP) and RNase P are highly similar RNPs that play distinct roles at the cellular level; as a consequence, the specific isolation of either of these complexes is essential to study their biochemical function. Since their protein components are nearly identical, purification of these endoribonucleases using protein-centric methods is not feasible. Here, we describe a procedure employing an optimized high-affinity streptavidin-binding RNA aptamer, termed S1m, to purify RNase MRP free of RNase P. This report details all steps from the RNA tagging to the characterization of the purified material. We show that using the S1m tag allows efficient isolation of active RNase MRP.

Multiple pkd and piezo gene family members are required for atrioventricular valve formation.

Cardiac valves ensure unidirectional blood flow through the heart, and altering their function can result in heart failure. Flow sensing via wall shear stress and wall stretching through the action of mechanosensors can modulate cardiac valve formation. However, the identity and precise role of the key mechanosensors and their effectors remain mostly unknown. Here, we genetically dissect the role of Pkd1a and other mechanosensors in atrioventricular (AV) valve formation in zebrafish and identify a role for several pkd and piezo gene family members in this process. We show that Pkd1a, together with Pkd2, Pkd1l1, and Piezo2a, promotes AV valve elongation and cardiac morphogenesis. Mechanistically, Pkd1a, Pkd2, and Pkd1l1 all repress the expression of klf2a and klf2b, transcription factor genes implicated in AV valve development. Furthermore, we find that the calcium-dependent protein kinase Camk2g is required downstream of Pkd function to repress klf2a expression. Altogether, these data identify, and dissect the role of, several mechanosensors required for AV valve formation, thereby broadening our understanding of cardiac valvulogenesis.

New RoxS sRNA Targets Identified in Bacillus subtilis by Pulsed SILAC.

Non-coding RNAs (sRNA) play a key role in controlling gene expression in bacteria, typically by base-pairing with ribosome binding sites to block translation. The modification of ribosome traffic along the mRNA generally affects its stability. However, a few cases have been described in bacteria where sRNAs can affect translation without a major impact on mRNA stability. To identify new sRNA targets in Bacillus subtilis potentially belonging to this class of mRNAs, we used pulsed-SILAC (stable isotope labeling by amino acids in cell culture) to label newly synthesized proteins after short expression of the RoxS sRNA, the best characterized sRNA in this bacterium. RoxS sRNA was previously shown to interfere with the expression of genes involved in central metabolism, permitting control of the NAD+/NADH ratio in B. subtilis. In this study, we confirmed most of the known targets of RoxS, showing the efficiency of the method. We further expanded the number of mRNA targets encoding enzymes of the TCA cycle and identified new targets. One of these is YcsA, a tartrate dehydrogenase that uses NAD+ as co-factor, in excellent agreement with the proposed role of RoxS in management of NAD+/NADH ratio in Firmicutes. IMPORTANCE Non-coding RNAs (sRNA) play an important role in bacterial adaptation and virulence. The identification of the most complete set of targets for these regulatory RNAs is key to fully identifying the perimeter of its function(s). Most sRNAs modify both the translation (directly) and mRNA stability (indirectly) of their targets. However, sRNAs can also influence the translation efficiency of the target primarily, with little or no impact on mRNA stability. The characterization of these targets is challenging. We describe here the application of the pulsed SILAC method to identify such targets and obtain the most complete list of targets for a defined sRNA.