The complete structure of the human TFIIH core complex

  1. Basil J Greber
  2. Daniel B Toso
  3. Jie Fang
  4. Eva Nogales  Is a corresponding author
  1. University of California, Berkeley, United States
  2. Howard Hughes Medical Institute, University of California, Berkeley, United States

Abstract

Transcription factor IIH (TFIIH) is a heterodecameric protein complex critical for transcription initiation by RNA polymerase II and nucleotide excision DNA repair. The TFIIH core complex is sufficient for its repair functions and harbors the XPB and XPD DNA-dependent ATPase/helicase subunits, which are affected by human disease mutations. Transcription initiation additionally requires the CdK activating kinase subcomplex. Previous structural work has provided only partial insight into the architecture of TFIIH and its interactions within transcription pre-initiation complexes. Here, we present the complete structure of the human TFIIH core complex, determined by phase-plate cryo-electron microscopy at 3.7 Å resolution. The structure uncovers the molecular basis of TFIIH assembly, revealing how the recruitment of XPB by p52 depends on a pseudo-symmetric dimer of homologous domains in these two proteins. The structure also suggests a function for p62 in the regulation of XPD, and allows the mapping of previously unresolved human disease mutations.

Data availability

The cryo-EM map of the human TFIIH core complex at 3.7 Å and the refined coordinate model have been deposited to the EMDB and PDB with accession codes EMD-0452 and PDB-6NMI, respectively. Additional cryo-EM maps resulting from the classification of the dataset for presence of the MAT1 RING domain and for the p62 BSD2 domain (both presence and absence) have been deposited to the EMDB with accession codes EMD-0587, EMD-0589, and EMD-0588, respectively. The multibody-refined maps for XPD-MAT1, XPB-p8-p52 (clutch, CTD), and p44-p34-p62-p52 (N-terminal region) have been deposited with accession codes EMD-0602, EMD-0603, and EMD-0604, respectively.

The following data sets were generated

Article and author information

Author details

  1. Basil J Greber

    California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Daniel B Toso

    California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Jie Fang

    Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Eva Nogales

    California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, Berkeley, United States
    For correspondence
    enogales@lbl.gov
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9816-3681

Funding

National Institute of General Medical Sciences (R01-GM63072)

  • Eva Nogales

Howard Hughes Medical Institute

  • Eva Nogales

Swiss National Science Foundation (Advanced PostDoc Mobility Fellowship P300PA_160983)

  • Basil J Greber

National Institute of General Medical Sciences (R35-GM127018)

  • Eva Nogales

National Institute of General Medical Sciences (P01-GM063210)

  • Eva Nogales

Swiss National Science Foundation (Advanced PostDoc Mobility Fellowship P300PA_174355)

  • Basil J Greber

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Nikolaus Grigorieff, Janelia Research Campus, Howard Hughes Medical Institute, United States

Publication history

  1. Received: December 28, 2018
  2. Accepted: March 3, 2019
  3. Accepted Manuscript published: March 12, 2019 (version 1)
  4. Version of Record published: March 18, 2019 (version 2)

Copyright

© 2019, Greber et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 8,693
    Page views
  • 1,013
    Downloads
  • 65
    Citations

Article citation count generated by polling the highest count across the following sources: Crossref, Scopus, PubMed Central.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Basil J Greber
  2. Daniel B Toso
  3. Jie Fang
  4. Eva Nogales
(2019)
The complete structure of the human TFIIH core complex
eLife 8:e44771.
https://doi.org/10.7554/eLife.44771

Further reading

    1. Biochemistry and Chemical Biology
    2. Structural Biology and Molecular Biophysics
    Ziva Vuckovic, Jinan Wang ... David M Thal
    Research Article

    Allosteric modulation of G protein-coupled receptors (GPCRs) is a major paradigm in drug discovery. Despite decades of research, a molecular-level understanding of the general principles that govern the myriad pharmacological effects exerted by GPCR allosteric modulators remains limited. The M4 muscarinic acetylcholine receptor (M4 mAChR) is a validated and clinically relevant allosteric drug target for several major psychiatric and cognitive disorders. In this study, we rigorously quantified the affinity, efficacy, and magnitude of modulation of two different positive allosteric modulators, LY2033298 (LY298) and VU0467154 (VU154), combined with the endogenous agonist acetylcholine (ACh) or the high-affinity agonist iperoxo (Ipx), at the human M4 mAChR. By determining the cryo-electron microscopy structures of the M4 mAChR, bound to a cognate Gi1 protein and in complex with ACh, Ipx, LY298-Ipx, and VU154-Ipx, and applying molecular dynamics simulations, we determine key molecular mechanisms underlying allosteric pharmacology. In addition to delineating the contribution of spatially distinct binding sites on observed pharmacology, our findings also revealed a vital role for orthosteric and allosteric ligand–receptor–transducer complex stability, mediated by conformational dynamics between these sites, in the ultimate determination of affinity, efficacy, cooperativity, probe dependence, and species variability. There results provide a holistic framework for further GPCR mechanistic studies and can aid in the discovery and design of future allosteric drugs.

    1. Structural Biology and Molecular Biophysics
    Seoyoon Kim, Daehyo Lee ... Duyoung Min
    Tools and Resources

    Single-molecule tweezers, such as magnetic tweezers, are powerful tools for probing nm-scale structural changes in single membrane proteins under force. However, the weak molecular tethers used for the membrane protein studies have limited the observation of long-time, repetitive molecular transitions due to force-induced bond breakage. The prolonged observation of numerous transitions is critical in reliable characterizations of structural states, kinetics, and energy barrier properties. Here, we present a robust single-molecule tweezer method that uses dibenzocyclooctyne (DBCO) cycloaddition and traptavidin binding, enabling the estimation of the folding 'speed limit' of helical membrane proteins. This method is >100 times more stable than a conventional linkage system regarding the lifetime, allowing for the survival for ~12 h at 50 pN and ~1000 pulling cycle experiments. By using this method, we were able to observe numerous structural transitions of a designer single-chained transmembrane (TM) homodimer for 9 h at 12 pN, and reveal its folding pathway including the hidden dynamics of helix-coil transitions. We characterized the energy barrier heights and folding times for the transitions using a model-independent deconvolution method and the hidden Markov modeling (HMM) analysis, respectively. The Kramers rate framework yields a considerably low speed limit of 21 ms for a helical hairpin formation in lipid bilayers, compared to μs scale for soluble protein folding. This large discrepancy is likely due to the highly viscous nature of lipid membranes, retarding the helix-helix interactions. Our results offer a more valid guideline for relating the kinetics and free energies of membrane protein folding.