Tentonin 3 is a pore-forming subunit of a slow inactivation mechanosensitive channel
Open accessPublished version of a preprint
Abstract
Mechanically activating (MA) channels transduce numerous physiological functions. Tentonin 3/TMEM150C (TTN3) confers MA currents with slow inactivation kinetics in somato- and barosensory neurons. However, questions were raised about its role as a Piezo1 regulator and its potential as a channel pore. Here, we demonstrate that purified TTN3 proteins incorporated into the lipid bilayer displayed spontaneous and pressure-sensitive channel currents. These MA currents were conserved across vertebrates and differ from Piezo1 in activation threshold and pharmacological response. Deep neural network structure prediction programs coupled with mutagenetic analysis predicted a rectangular-shaped, tetrameric structure with six transmembrane helices and a pore at the inter-subunit center. The putative pore aligned with two helices of each subunit and had constriction sites whose mutations changed the MA currents. These findings suggest that TTN3 is a pore-forming subunit of a distinct slow inactivation MA channel, potentially possessing a tetrameric structure.
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
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.
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764 · see citing works
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03828-1 · Cited by 3,025 · cited 3× · see citing works
“In addition, we utilized deep learning methods to achieve prediction accuracies greater than those of force-field-based approaches 21–23 to gain structural insight into TTN3 action.”
Bubb, M. R., Senderowicz, A. M., Sausville, E. A., Duncan, K. L., & Korn, E. D. (1994) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)36545-6 · Cited by 811 · see citing works
Sampling alternative conformational states of transporters and receptors with AlphaFold2
del Alamo, D., Sala, D., Mchaourab, H. S., & Meiler, J. (2022) · eLife · doi:10.7554/elife.75751 · Cited by 511 · see citing works
High‐accuracy protein structure prediction in <scp>CASP14</scp>
Pereira, J., Simpkin, A. J., Hartmann, M. D., Rigden, D. J., Keegan, R. M., & Lupas, A. N. (2021) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.26171 · Cited by 314 · cited 1× · see citing works
“Because state-of-the-art deep learning methods able to predict the native protein structures from their sequences with high con�dence have been developed 19,20,22,31,32 , we sought to predict the TTN3 structure using these algorithms.”
Method‘The entire protein universe’: AI predicts shape of nearly every known protein
Callaway, E. (2022) · Nature · doi:10.1038/d41586-022-02083-2 · Cited by 113 · see citing works
Flagged first, then by citations
- Authors
- Pak, S., Ryu, H., Lim, S., Nguyen, T.-L., Yang, S., Kang, S., Yu, Y. G., Woo, J., Kim, C., Fenollar-Ferrer, C., Wood, J. N., Lee, M.-O., Hong, G.-S., Han, K., Kim, T. S., & Oh, U.
- Affiliations
- Seoul National University (KR)
- Korea Institute of Science and Technology (KR)
- Kookmin University (KR)
- University College London (GB)
- Seoul National University of Science and Technology (KR)
- Corresponding author
- Hong, Gyu-Sang
- Han, Kyungreem
- Kim, Tae Song
- Oh, Uhtaek
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2024-06
- Volume
- 43
- Issue
- 6
- Pages
- 114334
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC11310380
- OpenAlex
- W4399418647
- Cited by
- 6
- References
- 6
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 2
- FWCI
- 0.82
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by-nc-nd)
- Research Square (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- NIDCD (DC000039)
- KIST (2E32231, 2Z06588)
- Palm Healthcare Foundation
- National Research Foundation of Korea (NRF- 2020R1A3A300192913, NRF-2020R1C1C101024513, RS-2023-00254795, NRF-2022M3E5E801739512, 2020R1A2C210036313, 2020R1A2C1101174)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ion channel regulation and function
- Life Sciences › Neuroscience › Sensory Systems › Ion Channels and Receptors
- Health Sciences › Medicine › Physiology › Erythrocyte Function and Pathophysiology
- Keywords
- mechanosensitive ion channels, slow inactivation, pore-forming subunit, Piezo1, somatosensory neurons, transmembrane helices, mutagenesis
- MeSH terms
- Amino Acid Sequence, Animals, Humans, Ion Channels, Lipid Bilayers, Membrane Proteins, Mutation, Protein Subunits, Mechanotransduction, Cellular, Mice, HEK293 Cells
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