Splicing and transcription touch base: co-transcriptional spliceosome assembly and function

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Abstract

Pre-mRNA splicing occurs on nascent RNA, which is attached to chromatin by RNA polymerase II. Much splicing occurs co-transcriptionally, and the spatial and temporal coordination of the two processes is tightly coordinated with other mRNA-processing events.

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Histone exchange, chromatin structure and the regulation of transcription.

Swaminathan Venkatesh, Jerry L Workman (2015)

The packaging of DNA into strings of nucleosomes is one of the features that allows eukaryotic cells to tightly regulate gene expression. The ordered disassembly of nucleosomes permits RNA polymerase II (Pol II) to access the DNA, whereas nucleosomal reassembly impedes access, thus preventing transcription and mRNA synthesis. Chromatin modifications, chromatin remodellers, histone chaperones and histone variants regulate nucleosomal dynamics during transcription. Disregulation of nucleosome dynamics results in aberrant transcription initiation, producing non-coding RNAs. Ongoing research is elucidating the molecular mechanisms that regulate chromatin structure during transcription by preventing histone exchange, thereby limiting non-coding RNA expression.

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The pairwise energy content estimated from amino acid composition discriminates between folded and intrinsically unstructured proteins.

Zsuzsanna Dosztányi, Veronika Csizmok, Peter Tompa … (2005)

The structural stability of a protein requires a large number of interresidue interactions. The energetic contribution of these can be approximated by low-resolution force fields extracted from known structures, based on observed amino acid pairing frequencies. The summation of such energies, however, cannot be carried out for proteins whose structure is not known or for intrinsically unstructured proteins. To overcome these limitations, we present a novel method for estimating the total pairwise interaction energy, based on a quadratic form in the amino acid composition of the protein. This approach is validated by the good correlation of the estimated and actual energies of proteins of known structure and by a clear separation of folded and disordered proteins in the energy space it defines. As the novel algorithm has not been trained on unstructured proteins, it substantiates the concept of protein disorder, i.e. that the inability to form a well-defined 3D structure is an intrinsic property of many proteins and protein domains. This property is encoded in their sequence, because their biased amino acid composition does not allow sufficient stabilizing interactions to form. By limiting the calculation to a predefined sequential neighborhood, the algorithm was turned into a position-specific scoring scheme that characterizes the tendency of a given amino acid to fall into an ordered or disordered region. This application we term IUPred and compare its performance with three generally accepted predictors, PONDR VL3H, DISOPRED2 and GlobPlot on a database of disordered proteins.

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Getting up to speed with transcription elongation by RNA polymerase II.

Iris Jonkers, John Lis (2015)

Recent advances in sequencing techniques that measure nascent transcripts and that reveal the positioning of RNA polymerase II (Pol II) have shown that the pausing of Pol II in promoter-proximal regions and its release to initiate a phase of productive elongation are key steps in transcription regulation. Moreover, after the release of Pol II from the promoter-proximal region, elongation rates are highly dynamic throughout the transcription of a gene, and vary on a gene-by-gene basis. Interestingly, Pol II elongation rates affect co-transcriptional processes such as splicing, termination and genome stability. Increasing numbers of factors and regulatory mechanisms have been associated with the steps of transcription elongation by Pol II, revealing that elongation is a highly complex process. Elongation is thus now recognized as a key phase in the regulation of transcription by Pol II.