The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
TAF2 condensation in nuclear speckles links basal transcription factor TFIID to RNA splicing
Open accessPreprint — published as 10.1016/j.celrep.2025.115616 · Paper page
Abstract
Summary: TFIID is an essential basal transcription factor, crucial for RNA polymerase II (pol II) promoter recognition and transcription initiation. The TFIID complex consists of the TATA-binding protein (TBP) and 13 TBP-associated factors (TAFs) that contain intrinsically disordered regions (IDRs) with currently unknown functions. Here, we show that a conserved IDR drives TAF2 condensation in nuclear speckles, independently of other TFIID subunits. Quantitative mass spectrometry analyses reveal that the TAF2 IDR specifically interacts with the nuclear speckle and spliceosome-associated protein SRRM2. Consequently, TAF2 recruits SRRM2 to TFIID to form non-canonical TFIID-SRRM2 complexes. Reduced SRRM2 recruitment elicits alternative splicing events in RNAs coding for proteins involved in transcription and transmembrane transport. Further, genome-wide binding analyses suggest TAF2 shuttling between nuclear speckles and pol II promoters. This study identifies an IDR of the basal transcription machinery as a molecular guide for protein partitioning into nuclear compartments, controlling protein complex composition and pre-mRNA splicing.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566
Flagged first, then by citations
Research works printed but not linked: 124
- 10.1038/s41594-019-0287-x · DOI
- 10.1016/j.tcb.2019.06.004 · DOI
- 10.1038/s41576-023-00630-9 · DOI
- 10.1101/gad.10.21.2657 · DOI
- 10.1016/0968-0004(96)10050-5 · DOI
- 10.1080/10409230600648736 · DOI
- 10.1038/nrm3951 · DOI · Paper page
- 10.1146/annurev.bi.65.070196.004005 · DOI
- 10.1016/j.cell.2012.12.005 · DOI
- 10.1126/science.aau8872 · DOI
- 10.1126/science.aba8490 · DOI
- 10.1038/s41594-023-01026-3 · DOI
- 10.1038/s41594-018-0156-z · DOI
- 10.1038/nature17394 · DOI
- 10.1128/MCB.23.12.4307-4318.2003 · DOI
- 10.1038/s41598-019-46632-8 · DOI
- 10.1128/MCB.06305-11 · DOI
- 10.1126/science.8178153 · DOI
- 10.1128/MCB.18.1.233 · DOI
- 10.1128/MCB.18.11.6571 · DOI
- 10.1038/s41467-018-07096-y · DOI
- 10.1101/gad.300475.117 · DOI
- 10.1016/j.jbc.2021.101288 · DOI
- 10.1038/nature10423 · DOI · Paper page
- 10.1016/j.pediatrneurol.2013.07.017 · DOI
- 10.1016/j.ejmg.2021.104323 · DOI
- 10.1038/oncsis.2014.8 · DOI
- 10.1128/MCB.19.8.5548 · DOI
- 10.7554/eLife.07777 · DOI
- 10.1016/j.tibs.2023.01.004 · DOI
- 10.1042/BJ20130545 · DOI
- 10.7554/eLife.46883 · DOI
- 10.1016/j.devcel.2020.09.023 · DOI
- 10.1016/j.tibs.2020.06.007 · DOI
- 10.1126/science.aar3958 · DOI · Paper page
- 10.1126/science.aar4199 · DOI · Paper page
- 10.1016/j.molcel.2021.01.016 · DOI
- 10.1126/sciadv.aay4858 · DOI
- 10.1038/s41586-019-1842-7 · DOI
- 10.1016/j.jmb.2021.167216 · DOI
- 10.1016/j.cell.2020.11.030 · DOI
- 10.1126/sciadv.adi4565 · DOI
- 10.1101/cshperspect.a000646 · DOI
- 10.1111/febs.16117 · DOI
- 10.1101/cshperspect.a041268 · DOI
- 10.1242/jcs.259594 · DOI
- 10.1093/nar/gkx759 · DOI
- 10.1002/jcp.25224 · DOI
- 10.15252/embj.201593169 · DOI
- 10.1242/jcs.226563 · DOI
- 10.1083/jcb.201910207 · DOI
- 10.7554/eLife.60579 · DOI
- 10.1038/ncomms7011 · DOI
- 10.1038/nbt.4201 · DOI · Paper page
- 10.1016/j.molcel.2019.04.018 · DOI
- 10.1186/1471-2105-7-208 · DOI
- 10.1093/bioinformatics/btu744 · DOI
- 10.1242/jcs.00618 · DOI
- 10.1371/journal.pgen.1000397 · DOI
- 10.1016/j.cell.2022.12.013 · DOI
- 10.1038/nmeth.2834 · DOI · Paper page
- 10.1016/S0006-3495(76)85755-4 · DOI
- 10.1038/s41586-018-0279-8 · DOI
- 10.1093/nar/gkac669 · DOI
- 10.1093/nar/gky242 · DOI
- 10.1017/S1355838200991982 · DOI
- 10.1073/pnas.96.11.6125 · DOI
- 10.1093/nar/gkab038 · DOI
- 10.1002/cpz1.266 · DOI
- 10.1126/science.abg0635 · DOI
- 10.1016/j.str.2009.01.006 · DOI
- 10.1038/ncomms15231 · DOI
- 10.1038/s41594-018-0112-y · DOI
- 10.1038/s41586-019-1464-0 · DOI
- 10.1093/nar/gku1267 · DOI · Paper page
- 10.1101/2023.07.22.550178 · DOI
- 10.1016/j.molcel.2021.03.006 · DOI
- 10.1016/j.molcel.2020.01.025 · DOI
- 10.1016/j.molcel.2023.06.012 · DOI · Paper page
- 10.1242/jcs.114.8.1491 · DOI
- 10.1038/s41586-018-0174-3 · DOI
- 10.1093/hmg/ddy126 · DOI
- 10.1016/0092-8674(94)90404-9 · DOI
- 10.1101/2023.11.27.567046 · DOI
- 10.1016/j.molcel.2007.11.035 · DOI
- 10.1038/38763 · DOI
- 10.1038/s41556-023-01118-8 · DOI
- 10.1016/j.gim.2022.04.011 · DOI
- 10.1016/j.neuron.2021.03.026 · DOI
- 10.1371/journal.pone.0009104 · DOI
- 10.1371/journal.pone.0073495 · DOI
- 10.1128/MCB.01742-12 · DOI
- 10.1080/15476286.2019.1667214 · DOI
- 10.1016/S0076-6879(03)75025-3 · DOI
- 10.1093/nar/gky508 · DOI
- 10.1101/pdb.prot5330 · DOI
- 10.1007/978-1-62703-284-1_11 · DOI
- 10.1038/nprot.2016.136 · DOI
- 10.1093/nar/gkab1038 · DOI · Paper page
- 10.1038/nmeth.3901 · DOI · Paper page
- 10.1038/nprot.2018.015 · DOI · Paper page
- 10.1242/dev.146902 · DOI
- 10.1186/1471-2105-10-202 · DOI
- 10.1016/j.molcel.2010.05.004 · DOI · Paper page
- 10.1093/nar/gkw343 · DOI
- 10.1093/nar/gku365 · DOI · Paper page
- 10.1093/nar/gkz114 · DOI
- 10.1186/s13059-014-0550-8 · DOI · Paper page
- 10.1186/s12864-016-3059-6 · DOI
- 10.1101/gr.220962.117 · DOI
- 10.1038/s41467-018-08125-6 · DOI
- 10.1016/j.xinn.2021.100141 · DOI
- 10.18129/B9.bioc.GOfuncR · DOI
- 10.1186/gb-2012-13-10-r83 · DOI
- 10.1093/biostatistics/kxy007 · DOI
- 10.1093/hmg/ddaa218 · DOI
- 10.1093/bioinformatics/btp033 · DOI
- 10.1093/nar/gkz268 · DOI · Paper page
- 10.1016/j.molcel.2019.04.018 · DOI
- 10.1186/1471-2105-7-208 · DOI
- 10.1093/bioinformatics/btu744 · DOI
- 10.1093/bioinformatics/btp033 · DOI
- 10.7554/eLife.60579 · DOI
- 10.18129/B9.bioc.GOfuncR · DOI
Metadata
- Authors
- Bhuiyan, T., Mendoza Sanchez, P. K., Arecco, N., Kim, J., Nizamuddin, S., Prunotto, A., Tekman, M., Biniossek, M. L., Koidl, S., Hugel, T., & Arnold, S. J.
- Affiliations
- University of Freiburg (DE)
- Centre for Genomic Regulation (ES)
- Corresponding author
- Bhuiyan, Tanja
- Arnold, Sebastian J.
- ORCID
- Venue
- Cell Reports
- Publisher
- openRxiv
- Published
- 2024-02-05
- Volume
- 44
- Issue
- 5
- Pages
- 115616-115616
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W4409790373
- Cited by
- 5
- References
- 1
- Citations by year
- 2026: 2 · 2025: 3
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Cell Reports (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
- Funders
- European Molecular Biology Organization (LTF 695-2019)
- Deutsche Forschungsgemeinschaft (SFB 992, EXC‐2189, INST 39/1170-1 FUGG, 390939984, 992/1 2012, 192904750, AR 732/3–1, SFB 992/1, SFB 992/1 2012, CRC1381, 403222702, CRC992)
- Bundesministerium für Bildung und Forschung (EXC-2189, 031A538A, 390939984)
- Albert-Ludwigs-Universität Freiburg (EXC-2189, 390939984)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Structure and Function
- Keywords
- TFIID, intrinsically disordered regions, nuclear speckles, condensate, RNA splicing, alternative splicing, SRRM2, TATA-binding protein, transcription initiation, RNA polymerase II, nuclear compartmentalization, protein-protein interaction
- MeSH terms
- RNA Splicing Factors, Cell Nucleus, HeLa Cells, Humans, Promoter Regions, Genetic, Protein Binding, RNA Splicing, Transcription Factor TFIID, TATA-Binding Protein Associated Factors
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