A census of human RNA-binding proteins.
TL;DR: This work presents a census of 1,542 manually curated RBPs that are analysed for their interactions with different classes of RNA, their evolutionary conservation, their abundance and their tissue-specific expression, a critical step towards the comprehensive characterization of proteins involved in human RNA metabolism.
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Abstract: Post-transcriptional gene regulation (PTGR) concerns processes involved in the maturation, transport, stability and translation of coding and non-coding RNAs. RNA-binding proteins (RBPs) and ribonucleoproteins coordinate RNA processing and PTGR. The introduction of large-scale quantitative methods, such as next-generation sequencing and modern protein mass spectrometry, has renewed interest in the investigation of PTGR and the protein factors involved at a systems-biology level. Here, we present a census of 1,542 manually curated RBPs that we have analysed for their interactions with different classes of RNA, their evolutionary conservation, their abundance and their tissue-specific expression. Our analysis is a critical step towards the comprehensive characterization of proteins involved in human RNA metabolism.
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Web tools support predicting protein-nucleic acid complexes stability with affinity changes.
TL;DR: In this article , a review of existing databases for evaluating the stability of protein-nucleic acid binding is presented, and the authors compare and evaluate the pros and cons of web tools for forecasting the interaction energies of PNIs.
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TL;DR: This review focuses on those high-throughput technologies for the global mapping of RRIs and highlights the novel biological insights uncovered by these RRI mapping methods and discusses the future challenges for appreciating the crucial roles of RRIs in gene regulation across bacteria, viruses, archaea, and mammals.
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MCNN: Multiple Convolutional Neural Networks for RNA-Protein Binding Sites Prediction
TL;DR: Wang et al. as mentioned in this paper proposed a multiple convolutional neural networks (MCNN) method, which predicts RNA-protein binding sites by integrating multiple CNNs constructed by RNA sequence information extracted from windows with different lengths.
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Single mRNP analysis by super-resolution microscopy and fluorescence correlation spectroscopy reveals that small mRNP granules represent mRNA singletons
Àngels Mateu-Regué,Jan Christiansen,Frederik Otzen Bagger,Christian Hellriegel,Finn Cilius Nielsen +4 more
TL;DR: It is concluded that small cytoplasmic mRNP granules are mRNA singletons, thus depicting the cellular transcriptome, and expression of functionally related mRNAs in RNA regulons is unlikely to result from coordinated assembly.
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Analysis of microRNA function using systemic regulatory features and graph models
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TL;DR: The biological function of microRNAs is analyzed by using systemic features of microRNA mediated regulation in functional enrichment methods to capture the complex role of micro RNAs in regulation of biological processes.
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