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      RNA recognition by Npl3p reveals U2 snRNA-binding compatible with a chaperone role during splicing

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          Abstract

          The conserved SR-like protein Npl3 promotes splicing of diverse pre-mRNAs. However, the RNA sequence(s) recognized by the RNA Recognition Motifs (RRM1 & RRM2) of Npl3 during the splicing reaction remain elusive. Here, we developed a split-iCRAC approach in yeast to uncover the consensus sequence bound to each RRM. High-resolution NMR structures show that RRM2 recognizes a 5´-GNGG-3´ motif leading to an unusual mille-feuille topology. These structures also reveal how RRM1 preferentially interacts with a CC-dinucleotide upstream of this motif, and how the inter-RRM linker and the region C-terminal to RRM2 contribute to cooperative RNA-binding. Structure-guided functional studies show that Npl3 genetically interacts with U2 snRNP specific factors and we provide evidence that Npl3 melts U2 snRNA stem-loop I, a prerequisite for U2/U6 duplex formation within the catalytic center of the B act spliceosomal complex. Thus, our findings suggest an unanticipated RNA chaperoning role for Npl3 during spliceosome active site formation.

          Abstract

          Here the authors identify the sequence bound by Npl3 and solve the structure of the complex using NMR. Npl3 binds directly to the U2 snRNA and melt the stem-loop I, suggesting a chaperoning role during spliceosome active site formation.

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          Most cited references72

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          STAR: ultrafast universal RNA-seq aligner.

          Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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            Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities.

            Genome-scale studies have revealed extensive, cell type-specific colocalization of transcription factors, but the mechanisms underlying this phenomenon remain poorly understood. Here, we demonstrate in macrophages and B cells that collaborative interactions of the common factor PU.1 with small sets of macrophage- or B cell lineage-determining transcription factors establish cell-specific binding sites that are associated with the majority of promoter-distal H3K4me1-marked genomic regions. PU.1 binding initiates nucleosome remodeling, followed by H3K4 monomethylation at large numbers of genomic regions associated with both broadly and specifically expressed genes. These locations serve as beacons for additional factors, exemplified by liver X receptors, which drive both cell-specific gene expression and signal-dependent responses. Together with analyses of transcription factor binding and H3K4me1 patterns in other cell types, these studies suggest that simple combinations of lineage-determining transcription factors can specify the genomic sites ultimately responsible for both cell identity and cell type-specific responses to diverse signaling inputs. Copyright 2010 Elsevier Inc. All rights reserved.
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              The Amber biomolecular simulation programs.

              We describe the development, current features, and some directions for future development of the Amber package of computer programs. This package evolved from a program that was constructed in the late 1970s to do Assisted Model Building with Energy Refinement, and now contains a group of programs embodying a number of powerful tools of modern computational chemistry, focused on molecular dynamics and free energy calculations of proteins, nucleic acids, and carbohydrates. (c) 2005 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                antoine.clery@bc.biol.ethz.ch
                vpanse@imm.uzh.ch
                allain@bc.biol.ethz.ch
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 November 2023
                7 November 2023
                2023
                : 14
                : 7166
                Affiliations
                [1 ]Department of Biology, Institute of Biochemistry, ( https://ror.org/05a28rw58) ETH Zurich, Switzerland
                [2 ]Institute of Medical Microbiology, University of Zurich, ( https://ror.org/02crff812) Zurich, Switzerland
                [3 ]Institute of Molecular Life Sciences, University of Zurich, ( https://ror.org/02crff812) Zurich, Switzerland
                [4 ]GRID grid.412041.2, ISNI 0000 0001 2106 639X, ARNA laboratory, INSERM U1212, , University of Bordeaux, ; Bordeaux, France
                [5 ]GRID grid.266102.1, ISNI 0000 0001 2297 6811, Department of Biochemistry and Biophysics, , University of California, San Francisco, ; San Francisco, CA USA
                [6 ]Faculty of Science, University of Zurich, ( https://ror.org/02crff812) Zurich, Switzerland
                [7 ]GRID grid.419481.1, ISNI 0000 0001 1515 9979, Present Address: Novartis Institutes for BioMedical Research, ; Basel, Switzerland
                [8 ]Present Address: Sardona Therapeutics, San Francisco, CA USA
                Author information
                http://orcid.org/0000-0002-4550-6908
                http://orcid.org/0000-0003-1826-5907
                http://orcid.org/0000-0001-5041-6205
                http://orcid.org/0000-0002-1677-011X
                http://orcid.org/0000-0001-7758-4348
                http://orcid.org/0000-0002-3048-5518
                http://orcid.org/0000-0002-4770-7068
                http://orcid.org/0000-0002-2131-6237
                Article
                42962
                10.1038/s41467-023-42962-4
                10630445
                37935663
                13187154-0bf9-46b0-ae4a-2e9f3ae7dba9
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 31 August 2022
                : 27 October 2023
                Funding
                Funded by: SNF-NCCR RNA and Disease (grant number: 51NF40-182880)
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                structural biology,biochemistry,cell biology
                Uncategorized
                structural biology, biochemistry, cell biology

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