The DOI matches its Crossref record; its reference list is not available.
Filament formation activates protease and ring nuclease activities of CRISPR SAVED-Lon
Open accessPreprint — published as 10.1016/j.molcel.2024.09.002 · Paper page
Abstract
SUMMARY: To combat phage infection, type III CRISPR-Cas systems utilize cyclic oligoadenylates (cA n ) signaling to activate various auxiliary effectors, including the CRISPR-associated SAVED-Lon protease CalpL, which forms a tripartite effector system together with an anti-σ factor, CalpT, and an ECF-like σ factor, CalpS. Here we report the characterization of the Candidatus Cloacimonas acidaminovorans CalpL-CalpT-CalpS. We demonstrate that cA 4 binding triggers CalpL filament formation and activates it to cleave CalpT within the CalpT-CalpS dimer. This cleavage exposes the CalpT C-degron, which targets it for further degradation by cellular proteases. Consequently, CalpS is released to bind to RNA polymerase, causing growth arrest in E. coli . Furthermore, the CalpL-CalpT-CalpS system is regulated by the SAVED domain of CalpL, which is a ring nuclease that cleaves cA 4 in a sequential three-step mechanism. These findings provide key mechanistic details for the activation, proteolytic events, and regulation of the signaling cascade in the type III CRISPR-Cas immunity.
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
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 93 · Cited by 17
Research works printed but not linked: 75
- 10.1146/annurev-genet-022120-112523 · DOI
- 10.1016/j.tibs.2023.10.006 · DOI
- 10.1126/science.aao0100 · DOI · Paper page
- 10.1038/nature23467 · DOI · Paper page
- 10.1093/nar/gkaa635 · DOI
- 10.1093/nar/gkaa176 · DOI
- 10.1038/s41467-019-14222-x · DOI
- 10.1038/s41586-021-03206-x · DOI
- 10.1093/nar/gkab073 · DOI
- 10.3390/biom11121852 · DOI
- 10.1126/science.adj2107 · DOI
- 10.1038/s41586-023-06902-y · DOI
- 10.1093/nar/gkae167 · DOI · Paper page
- 10.1128/JB.00365-20 · DOI
- 10.1146/annurev-virology-111821-115636 · DOI
- 10.1038/s41586-022-05571-7 · DOI · Paper page
- 10.1146/annurev-biochem-062917-012848 · DOI
- 10.1126/science.abk2718 · DOI
- 10.1126/science.add7450 · DOI
- 10.1016/j.mib.2013.02.001 · DOI
- 10.1126/science.add5064 · DOI
- 10.7554/eLife.36734 · DOI
- 10.1146/annurev-virology-100120-010228 · DOI
- 10.1038/s41586-018-0557-5 · DOI
- 10.7554/eLife.57627 · DOI
- 10.1093/nar/gkaa634 · DOI
- 10.1016/j.jmb.2019.04.041 · DOI
- 10.1038/s41467-020-15334-5 · DOI
- 10.1016/j.molcel.2019.06.014 · DOI
- 10.1093/nar/gkaa298 · DOI
- 10.1101/2023.11.24.568546 · DOI
- 10.1093/nar/gkab1190 · DOI
- 10.1038/s41586-022-05070-9 · DOI · Paper page
- 10.1016/j.cell.2020.05.019 · DOI
- 10.1093/nar/gkz470 · DOI
- 10.1073/pnas.1816596116 · DOI · Paper page
- 10.7554/eLife.61496 · DOI
- 10.7554/eLife.52774 · DOI
- 10.1016/S1097-2765(03)00060-1 · DOI
- 10.1016/j.cell.2019.05.002 · DOI
- 10.1126/science.271.5251.990 · DOI · Paper page
- 10.1073/pnas.191375298 · DOI
- 10.1146/annurev.micro.112408.134219 · DOI
- 10.1101/gad.1240104 · DOI
- 10.1016/S1097-2765(03)00148-5 · DOI
- 10.1101/gad.1002302 · DOI
- 10.1093/nar/gkad101 · DOI
- 10.1093/nar/gkab1130 · DOI
- 10.1093/nar/gkac923 · DOI
- 10.1038/s41586-019-1909-5 · DOI
- 10.1074/jbc.RA120.014099 · DOI
- 10.1080/15476286.2015.1051300 · DOI
- 10.1126/science.adk0378 · DOI
- 10.1038/s41467-021-26738-2 · DOI
- 10.1038/s41594-024-01220-x · DOI
- 10.1038/s41586-020-2719-5 · DOI
- 10.1016/j.cell.2021.09.031 · DOI
- 10.1038/s41586-024-07092-x · DOI
- 10.1016/j.celrep.2023.112672 · DOI
- 10.1016/j.jmb.2017.12.007 · DOI · Paper page
- 10.1002/pro.4519 · DOI
- 10.1101/2021.10.04.463034 · DOI · Paper page
- 10.1038/s41592-022-01488-1 · DOI · Paper page
- 10.1016/0378-1119(95)00685-0 · DOI
- 10.1093/protein/14.12.993 · DOI
- 10.1089/crispr.2020.0032 · DOI
- 10.1038/ncomms11293 · DOI
- 10.1038/nmeth.4169 · DOI · Paper page
- 10.1038/s41592-020-00990-8 · DOI
- 10.1038/nmeth.4347 · DOI
- 10.1016/j.jmb.2003.07.013 · DOI · Paper page
- 10.1107/S0907444910007493 · DOI · Paper page
- 10.1107/S2059798319011471 · DOI · Paper page
- 10.1002/pro.3943 · DOI
- 10.1007/s001800200117 · DOI
Metadata
- Authors
- Smalakyte, D., Ruksenaite, A., Sasnauskas, G., Tamulaitiene, G., & Tamulaitis, G.
- Affiliations
- Vilnius University (LT)
- Corresponding author
- Tamulaitis, Gintautas
- Venue
- Molecular Cell
- Publisher
- openRxiv
- Published
- 2024-05-08
- Volume
- 84
- Issue
- 21
- Pages
- 4239-4255.e8
- ISSN
- 1097-2765 (ISSN-L)
- OpenAlex
- W4403065814
- Cited by
- 17
- References
- 93
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 1
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Molecular Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Lietuvos Mokslo Taryba (S-MIP-22-09)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
- Keywords
- type III CRISPR-Cas, CALP, cyclic oligoadenylate, filamentation, anti-sigma factor, ECF sigma factor, phage immunity, RNA polymerase binding, growth arrest
- MeSH terms
- Bacterial Proteins, Escherichia coli, Protein Binding, Sigma Factor, Signal Transduction, Gene Expression Regulation, Bacterial, Proteolysis, CRISPR-Cas Systems, CRISPR-Associated 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