Cited by 17RNA Research and SplicingGenomics and Chromatin DynamicsRNA and protein synthesis mechanisms

Npl3 functions in mRNP assembly by recruitment of mRNP components to the transcription site and their transfer onto the mRNA

Open access

Published version of a preprint

Abstract

RNA-binding proteins (RBPs) control every RNA metabolic process by multiple protein–RNA and protein–protein interactions. Their roles have largely been analyzed by crude mutations, which abrogate multiple functions at once and likely impact the structural integrity of the large ribonucleoprotein particles (RNPs) these proteins function in. Using UV-induced RNA–protein crosslinking of entire cells, protein complex purification and mass spectrometric analysis, we identified >100 in vivo RNA crosslinks in 16 nuclear mRNP components in Saccharomyces cerevisiae. For functional analysis, we chose Npl3, which displayed crosslinks in its two RNA recognition motifs (RRMs) and in the connecting flexible linker region. Both RRM domains and the linker uniquely contribute to RNA recognition as revealed by NMR and structural analyses. Interestingly, mutations in these regions cause different phenotypes, indicating distinct functions of the different RNA-binding domains. Notably, an npl3-Linker mutation strongly impairs recruitment of several mRNP components to chromatin and incorporation of other mRNP components into nuclear mRNPs, establishing a so far unknown function of Npl3 in nuclear mRNP assembly. Taken together, our integrative analysis uncovers a specific function of the RNA-binding activity of the nuclear mRNP component Npl3. This approach can be readily applied to RBPs in any RNA metabolic process.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkac1206

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 84

  1. Baltz, 2012, The mRNA-bound proteome and its global occupancy profile on protein-coding transcripts, Mol. Cell, 46, 674, 10.1016/j.molcel.2012.05.021 · DOI
  2. Castello, 2012, Insights into RNA biology from an atlas of mammalian mRNA-binding proteins, Cell, 149, 1393, 10.1016/j.cell.2012.04.031 · DOI · Paper page
  3. Mitchell, 2013, Global analysis of yeast mRNPs, Nat. Struct. Mol. Biol., 20, 127, 10.1038/nsmb.2468 · DOI
  4. Castello, 2016, Comprehensive identification of RNA-Binding domains in Human cells, Mol. Cell, 63, 696, 10.1016/j.molcel.2016.06.029 · DOI
  5. Kramer, 2014, Photo-cross-linking and high-resolution mass spectrometry for assignment of RNA-binding sites in RNA-binding proteins, Nat. Methods, 11, 1064, 10.1038/nmeth.3092 · DOI
  6. Panhale, 2019, CAPRI enables comparison of evolutionarily conserved RNA interacting regions, Nat. Commun., 10, 2682, 10.1038/s41467-019-10585-3 · DOI
  7. Veit, 2016, LFQProfiler and RNP(xl): open-Source tools for label-Free quantification and protein–RNA cross-Linking integrated into proteome discoverer, J. Proteome Res., 15, 3441, 10.1021/acs.jproteome.6b00407 · DOI
  8. Trendel, 2019, The human RNA-binding proteome and its dynamics during translational arrest, Cell, 176, 391, 10.1016/j.cell.2018.11.004 · DOI
  9. Wegener, 2019, View from an mRNP: the roles of SR proteins in assembly, maturation and turnover, Adv. Exp. Med. Biol., 1203, 83, 10.1007/978-3-030-31434-7_3 · DOI
  10. Khong, 2020, The landscape of eukaryotic mRNPs, RNA, 26, 229, 10.1261/rna.073601.119 · DOI
  11. Wende, 2019, Mechanism and regulation of Co-transcriptional mRNP assembly and nuclear mRNA export, Adv. Exp. Med. Biol., 1203, 1, 10.1007/978-3-030-31434-7_1 · DOI
  12. Meinel, 2015, Co-transcriptional mRNP formation is coordinated within a molecular mRNP packaging station in S. cerevisiae, Bioessays, 37, 666, 10.1002/bies.201400220 · DOI
  13. Singh, 2015, The clothes make the mRNA: past and present trends in mRNP fashion, Annu. Rev. Biochem., 84, 325, 10.1146/annurev-biochem-080111-092106 · DOI
  14. Kilchert, 2020, From parts lists to functional significance-RNA–protein interactions in gene regulation, Wiley Interdiscipl. Rev. RNA, 11, e1582, 10.1002/wrna.1582 · DOI
  15. Hentze, 2018, A brave new world of RNA-binding proteins, Nat. Rev. Mol. Cell Biol., 19, 327, 10.1038/nrm.2017.130 · DOI · Paper page
  16. Kelaini, 2021, RNA-Binding proteins hold key roles in function, dysfunction, and disease, Biology, 10, 366, 10.3390/biology10050366 · DOI · Paper page
  17. Gebauer, 2021, RNA-binding proteins in human genetic disease, Nat. Rev. Genet., 22, 185, 10.1038/s41576-020-00302-y · DOI
  18. Muller-McNicoll, 2019, Auto-regulatory feedback by RNA-binding proteins, J. Mol. Cell Biol., 11, 930, 10.1093/jmcb/mjz043 · DOI
  19. Corbett, 2018, Post-transcriptional regulation of gene expression and human disease, Curr. Opin. Cell Biol., 52, 96, 10.1016/j.ceb.2018.02.011 · DOI
  20. Gehring, 2017, Deciphering the mRNP code: rNA-Bound determinants of post-Transcriptional gene regulation, Trends Biochem. Sci, 42, 369, 10.1016/j.tibs.2017.02.004 · DOI
  21. Rambout, 2020, The nuclear cap-binding complex as choreographer of gene transcription and pre-mRNA processing, Genes Dev., 34, 1113, 10.1101/gad.339986.120 · DOI
  22. Strasser, 2002, TREX is a conserved complex coupling transcription with messenger RNA export, Nature, 417, 304, 10.1038/nature746 · DOI
  23. Jimeno, 2002, The yeast THO complex and mRNA export factors link RNA metabolism with transcription and genome instability, EMBO J., 21, 3526, 10.1093/emboj/cdf335 · DOI
  24. Heath, 2016, The role of TREX in gene expression and disease, Biochem. J., 473, 2911, 10.1042/BCJ20160010 · DOI
  25. Soucek, 2016, The evolutionarily-conserved polyadenosine RNA binding protein, Nab2, cooperates with splicing machinery to regulate the fate of pre-mRNA, Mol. Cell. Biol., 36, 2697, 10.1128/MCB.00402-16 · DOI
  26. Soucek, 2012, The long and the short of it: the role of the zinc finger polyadenosine RNA binding protein, Nab2, in control of poly(A) tail length, Biochim. Biophys. Acta, 1819, 546, 10.1016/j.bbagrm.2012.03.006 · DOI
  27. Dufu, 2010, ATP is required for interactions between UAP56 and two conserved mRNA export proteins, Aly and CIP29, to assemble the TREX complex, Genes Dev., 24, 2043, 10.1101/gad.1898610 · DOI
  28. Jimeno, 2006, Tho1, a novel hnRNP, and Sub2 provide alternative pathways for mRNP biogenesis in yeast THO mutants, Mol. Cell. Biol., 26, 4387, 10.1128/MCB.00234-06 · DOI
  29. Rajyaguru, 2012, RGG motif proteins: modulators of mRNA functional states, Cell Cycle, 11, 2594, 10.4161/cc.20716 · DOI
  30. Mellacheruvu, 2013, The CRAPome: a contaminant repository for affinity purification-mass spectrometry data, Nat. Methods, 10, 730, 10.1038/nmeth.2557 · DOI · Paper page
  31. Minocha, 2018, Mud2 functions in transcription by recruiting the Prp19 and TREX complexes to transcribed genes, Nucleic Acids Res., 46, 9749, 10.1093/nar/gky640 · DOI
  32. Shevchenko, 1996, Linking genome and proteome by mass spectrometry: large-scale identification of yeast proteins from two dimensional gels, Proc. Nat. Acad. Sci. U.S.A., 93, 14440, 10.1073/pnas.93.25.14440 · DOI
  33. Cox, 2008, MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification, Nat. Biotechnol., 26, 1367, 10.1038/nbt.1511 · DOI · Paper page
  34. Storey, 2002, A direct approach to false discovery rates, Roy. Stat. Soc., 64, 479, 10.1111/1467-9868.00346 · DOI · Paper page
  35. Gorlich, 1996, Importin provides a link between nuclear protein import and U snRNA export, Cell, 87, 21, 10.1016/S0092-8674(00)81319-7 · DOI
  36. Reuter, 2015, The poly(A)-binding protein Nab2 functions in RNA polymerase III transcription, Genes Dev., 29, 1565, 10.1101/gad.266205.115 · DOI
  37. Sattler, 1999, Heteronuclear multidimensional NMR experiments for the structure determination of proteins in solution employing pulsed field gradients, Prog. Nucl. Magn. Reson. Spectrosc., 34, 93, 10.1016/S0079-6565(98)00025-9 · DOI
  38. Iwahara, 2007, Heteronuclear NMR spectroscopy for lysine NH(3) groups in proteins: unique effect of water exchange on (15)N transverse relaxation, J. Am. Chem. Soc., 129, 2971, 10.1021/ja0683436 · DOI
  39. Williamson, 2013, Using chemical shift perturbation to characterise ligand binding, Prog. Nucl. Magn. Reson. Spectrosc., 73, 1, 10.1016/j.pnmrs.2013.02.001 · DOI
  40. Farrow, 1994, Backbone dynamics of a free and phosphopeptide-complexed src homology 2 domain studied by 15N NMR relaxation, Biochemistry, 33, 5984, 10.1021/bi00185a040 · DOI
  41. Delaglio, 1995, NMRPipe: a multidimensional spectral processing system based on UNIX pipes, J. Biomol. NMR, 6, 277, 10.1007/BF00197809 · DOI
  42. Skinner, 2016, CcpNmr AnalysisAssign: a flexible platform for integrated NMR analysis, J. Biomol. NMR, 66, 111, 10.1007/s10858-016-0060-y · DOI
  43. Kay, 1989, Backbone dynamics of proteins as studied by 15N inverse detected heteronuclear NMR spectroscopy: application to staphylococcal nuclease, Biochemistry, 28, 8972, 10.1021/bi00449a003 · DOI
  44. Simon, 2010, An efficient protocol for NMR-spectroscopy-based structure determination of protein complexes in solution, Angew. Chem., 49, 1967, 10.1002/anie.200906147 · DOI
  45. Mackereth, 2011, Multi-domain conformational selection underlies pre-mRNA splicing regulation by U2AF, Nature, 475, 408, 10.1038/nature10171 · DOI
  46. Shen, 2013, Protein backbone and sidechain torsion angles predicted from NMR chemical shifts using artificial neural networks, J. Biomol. NMR, 56, 227, 10.1007/s10858-013-9741-y · DOI
  47. Linge, 2003, Refinement of protein structures in explicit solvent, Proteins, 50, 496, 10.1002/prot.10299 · DOI
  48. Laskowski, 1996, AQUA and PROCHECK-NMR: programs for checking the quality of protein structures solved by NMR, J. Biomol. NMR, 8, 477, 10.1007/BF00228148 · DOI · Paper page
  49. Madl, 2011, NMR and small-angle scattering-based structural analysis of protein complexes in solution, J. Struct. Biol., 173, 472, 10.1016/j.jsb.2010.11.004 · DOI
  50. Franke, 2017, ATSAS 2.8: a comprehensive data analysis suite for small-angle scattering from macromolecular solutions, J. Appl. Crystallogr., 50, 1212, 10.1107/S1600576717007786 · DOI
  51. Manalastas-Cantos, 2021, ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis, J. Appl. Crystallogr., 54, 343, 10.1107/S1600576720013412 · DOI
  52. Dobin, 2013, STAR: ultrafast universal RNA-seq aligner, Bioinformatics, 29, 15, 10.1093/bioinformatics/bts635 · DOI · Paper page
  53. Ramirez, 2016, deepTools2: a next generation web server for deep-sequencing data analysis, Nucleic Acids Res., 44, W160, 10.1093/nar/gkw257 · DOI · Paper page
  54. Anders, 2015, HTSeq–a Python framework to work with high-throughput sequencing data, Bioinformatics, 31, 166, 10.1093/bioinformatics/btu638 · DOI · Paper page
  55. Love, 2014, Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biol., 15, 550, 10.1186/s13059-014-0550-8 · DOI · Paper page
  56. Lawrence, 2013, Software for computing and annotating genomic ranges, PLoS Comput. Biol., 9, e1003118, 10.1371/journal.pcbi.1003118 · DOI
  57. Baejen, 2014, Transcriptome maps of mRNP biogenesis factors define pre-mRNA recognition, Mol. Cell, 55, 745, 10.1016/j.molcel.2014.08.005 · DOI
  58. Mitchell, 2014, Principles and properties of eukaryotic mRNPs, Mol. Cell, 54, 547, 10.1016/j.molcel.2014.04.033 · DOI
  59. Queiroz, 2019, Comprehensive identification of RNA–protein interactions in any organism using orthogonal organic phase separation (OOPS), Nat. Biotechnol., 37, 169, 10.1038/s41587-018-0001-2 · DOI
  60. Shchepachev, 2019, Defining the RNA interactome by total RNA-associated protein purification, Mol. Syst. Biol., 15, e8689, 10.15252/msb.20188689 · DOI
  61. Bae, 2021, Photoactivatable ribonucleosides mark base-specific RNA-binding sites, Nat. Commun., 12, 6026, 10.1038/s41467-021-26317-5 · DOI
  62. Bae, 2020, Chemical RNA digestion enables robust RNA-binding site mapping at single amino acid resolution, Nat. Struct. Mol. Biol., 27, 678, 10.1038/s41594-020-0436-2 · DOI
  63. Deka, 2008, Structure of the yeast SR protein Npl3 and interaction with mRNA 3′-end processing signals, J. Mol. Biol., 375, 136, 10.1016/j.jmb.2007.09.029 · DOI
  64. Skrisovska, 2008, Improved segmental isotope labeling methods for the NMR study of multidomain or large proteins: application to the rrms of Npl3p and hnRNP L, J. Mol. Biol., 375, 151, 10.1016/j.jmb.2007.09.030 · DOI
  65. Clery, 2013, Isolated pseudo-RNA-recognition motifs of SR proteins can regulate splicing using a noncanonical mode of RNA recognition, Proc. Nat. Acad. Sci. U.S.A., 110, E2802, 10.1073/pnas.1303445110 · DOI
  66. Clery, 2021, Structure of SRSF1 RRM1 bound to RNA reveals an unexpected bimodal mode of interaction and explains its involvement in SMN1 exon7 splicing, Nat. Commun., 12, 428, 10.1038/s41467-020-20481-w · DOI
  67. Lee, 2018, Advances in CLIP technologies for studies of protein–RNA interactions, Mol. Cell, 69, 354, 10.1016/j.molcel.2018.01.005 · DOI
  68. Hafner, 2010, Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP, Cell, 141, 129, 10.1016/j.cell.2010.03.009 · DOI · Paper page
  69. Granneman, 2009, Identification of protein binding sites on U3 snoRNA and pre-rRNA by UV cross-linking and high-throughput analysis of cDNAs, Proc. Nat. Acad. Sci. U.S.A., 106, 9613, 10.1073/pnas.0901997106 · DOI
  70. Konig, 2010, iCLIP reveals the function of hnRNP particles in splicing at individual nucleotide resolution, Nat. Struct. Mol. Biol., 17, 909, 10.1038/nsmb.1838 · DOI · Paper page
  71. Schuller, 2020, Structural insights into the nucleic acid remodeling mechanisms of the yeast THO-Sub2 complex, Elife, 9, 61467, 10.7554/eLife.61467 · DOI
  72. Xie, 2021, Cryo-EM structure of the yeast TREX complex and coordination with the SR-like protein Gbp2, Elife, 10, e65699, 10.7554/eLife.65699 · DOI
  73. Chen, 2021, Structural and functional insights into R-loop prevention and mRNA export by budding yeast THO-Sub2 complex, Sci. Bull., 66, 2347, 10.1016/j.scib.2021.08.004 · DOI
  74. Corley, 2020, How RNA-Binding proteins interact with RNA: molecules and mechanisms, Mol. Cell, 78, 9, 10.1016/j.molcel.2020.03.011 · DOI
  75. Knorlein, 2022, Nucleotide-amino acid pi-stacking interactions initiate photo cross-linking in RNA–protein complexes, Nat. Commun., 13, 2719, 10.1038/s41467-022-30284-w · DOI
  76. Jones, 2022, Modulation of pre-mRNA structure by hnRNP proteins regulates alternative splicing of MALT1, Sci. Adv., 8, eabp9153, 10.1126/sciadv.abp9153 · DOI
  77. Kooshapur, 2018, Structural basis for terminal loop recognition and stimulation of pri-miRNA-18a processing by hnRNP A1, Nat. Commun., 9, 2479, 10.1038/s41467-018-04871-9 · DOI
  78. Mackereth, 2012, Dynamics in multi-domain protein recognition of RNA, Curr. Opin. Struct. Biol., 22, 287, 10.1016/j.sbi.2012.03.013 · DOI
  79. Jain, 2017, Rules of RNA specificity of hnRNP A1 revealed by global and quantitative analysis of its affinity distribution, Proc. Nat. Acad. Sci. U.S.A., 114, 2206, 10.1073/pnas.1616371114 · DOI
  80. Kielkopf, 2001, A novel peptide recognition mode revealed by the X-ray structure of a core U2AF35/U2AF65 heterodimer, Cell, 106, 595, 10.1016/S0092-8674(01)00480-9 · DOI
  81. Selenko, 2003, Structural basis for the molecular recognition between human splicing factors U2AF65 and SF1/mBBP, Mol. Cell, 11, 965, 10.1016/S1097-2765(03)00115-1 · DOI
  82. Corsini, 2007, U2AF-homology motif interactions are required for alternative splicing regulation by SPF45, Nat. Struct. Mol. Biol., 14, 620, 10.1038/nsmb1260 · DOI
  83. Kress, 2008, A single SR-like protein, Npl3, promotes pre-mRNA splicing in budding yeast, Mol. Cell, 32, 727, 10.1016/j.molcel.2008.11.013 · DOI
  84. Maciejewski, 2017, NMRbox: a resource for biomolecular NMR computation, Biophys. J., 112, 1529, 10.1016/j.bpj.2017.03.011 · DOI

Authors
Keil, P., Wulf, A., Kachariya, N., Reuscher, S., Hühn, K., Silbern, I., Altmüller, J., Keller, M., Stehle, R., Zarnack, K., Sattler, M., Urlaub, H., & Sträßer, K.
Affiliations
  • Justus-Liebig-Universität Gießen (DE)
  • Universitätsmedizin Göttingen (DE)
  • Helmholtz Munich (DE)
  • Goethe University Frankfurt (DE)
  • University of Cologne (DE)
Corresponding author
  • Sattler, Michael
  • Urlaub, Henning
  • Sträßer, Katja
Venue
Nucleic Acids Research
Published
2022-12-30
Volume
51
Issue
2
Pages
831-851
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4313311738
Cited by
17
References
2
Citations by year
2026: 5 · 2025: 4 · 2024: 3 · 2023: 5
FWCI
0.98
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (acceptedVersion, other-oa)
  • mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion, other-oa)
  • Site cant be reached (submittedVersion, cc-by-nc)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion)
  • Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt) (submittedVersion, cc-by-nc)
  • PuSH - Publication Server of Helmholtz Zentrum München (submittedVersion, cc-by-nc)
Funders
  • DFG (SPP1935, GRK1721, SFB1035, SFB1286, GRK2355)
  • EU (mRNP-PackArt)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
Npl3, RNA-binding proteins, RNA recognition motif, RNA-protein crosslinking, Saccharomyces cerevisiae, chromatin recruitment, linker region, RNA-binding domain, transcription sites
MeSH terms
Nuclear Proteins, Ribonucleoproteins, RNA, Messenger, Saccharomyces cerevisiae, RNA-Binding Proteins, Saccharomyces cerevisiae Proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review