Search

It is well established that promyelocytic leukaemia nuclear bodies (PML NBs) play important roles in DNA damage responses (DDR). After irradiation, PML NBs dynamically recruit or release important proteins involved in cell-cycle regulation, DNA repair and apoptosis. As PML protein is the key molecule of PML NBs’ dynamic assembling, we aimed to characterize the PML-interacting proteins in 60Co-irradiated MCF-7 cells. A proteomic approach using CoIP, mono-dimensional electrophoresis and tandem mass spectrometry, allowed us to identify a total of 124 proteins that may associate with PML after irradiation. Bioinformatic analysis of the identified proteins showed that most of them were related to characterized PML functions, such as transcriptional regulation, cell-cycle regulation, cell-death regulation and response to stress. Four proteins, B23, MVP, G3BP1 and DHX9, were verified to co-localize with PML differentially before and after ionizing radiation (IR) treatment. The proteins identified in this study will significantly improve our understanding of the dynamic organization and multiple functions of PML NBs in DDR. [ABSTRACT FROM PUBLISHER]

Background: Bacterial small regulatory RNAs (sRNAs) play important roles in sensing environment changes through sRNA-target mRNA interactions. However, the current strategy for detecting sRNA-mRNA interactions usually combines bioinformatics prediction and experimental verification, which is hampered by low prediction accuracy and low-throughput. Additionally, among the 4736 sequenced bacterial genomes, only about 2164 sRNAs from 319 strains have been described. Furthermore, target mRNAs of only 157 sRNAs have been uncovered. Obviously, highly efficient methods were required to detect sRNA-mRNA interactions in the sequenced genomes. This study aimed to apply a modified CLASH (cross-linking, ligation and sequencing hybrids) method to detect RNA-RNA interactions in E. coli, a model bacterial organism. Results: Statistically significant interactions were detected in 29 transcript pairs. To the best of our knowledge, 24 pairs were reported for the first time and were novel RNA interactions, including tRNA-tRNA, tRNA-ncRNA (non-coding RNA), tRNA-rRNA, rRNA-mRNA, rRNA-ncRNA, rRNA-rRNA, rRNA-IGT (intergenic transcript), and tRNA-IGT interactions. Conclusions: Discovery of novel RNA-RNA interactions in the present study demonstrates that RNA-RNA interactions might be far more complicated than ever expected. New methods may be required to help discover more novel RNA-RNA interactions. The present work describes a high-throughput protocol not only for discovering new RNA interactions, but also directly obtaining base-pairing sequences, which should be useful in assessing RNA structure and interactions. [ABSTRACT FROM AUTHOR]