The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A selection and optimization strategy for single-domain antibodies targeting the PHF6 linear peptide within the tau intrinsically disordered protein
Published version of a preprint
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
Figures











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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Our previous studies have shown that these VHHs interact with short tau epitopes.[19][20][21]”
From A Proline-Rich-Domain-Binding Single Domain Antibody Selectively Inhibits RNA-Induced Phase Separation of Tau (2026) · cites this paper as [21]
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
Structural basis of epitope recognition by heavy-chain camelid antibodies
Zavrtanik, U., Lukan, J., Loris, R., Lah, J., & Hadži, S. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.09.002 · Cited by 169
Research works printed but not linked: 71
- Hamers-Casterman, 1993, Naturally occurring antibodies devoid of light chains, Nature, 363, 446, 10.1038/363446a0 · DOI · Paper page
- Jovčevska, 2020, The therapeutic potential of nanobodies, BioDrugs, 34, 11, 10.1007/s40259-019-00392-z · DOI · Paper page
- Pleiner, 2015, Nanobodies: site-specific labeling for super-resolution imaging, rapid epitope-mapping and native protein complex isolation, eLife, 4, 10.7554/eLife.11349 · DOI
- Barakat, 2022, Nanobodies as molecular imaging probes, Free Radic. Biol. Med., 182, 260, 10.1016/j.freeradbiomed.2022.02.031 · DOI
- Jiang, 2023, Single-domain antibody–based noninvasive in vivo imaging of α-synuclein or tau pathology, Sci. Adv., 9, 10.1126/sciadv.adf3775 · DOI
- Peyvandi, 2016, Caplacizumab for acquired thrombotic thrombocytopenic purpura, N. Engl. J. Med., 374, 511, 10.1056/NEJMoa1505533 · DOI
- Takeuchi, 2022, Phase II/III results of a trial of anti–tumor necrosis factor multivalent NANOBODY compound ozoralizumab in patients with rheumatoid arthritis, Arthritis Rheumatol., 74, 1776, 10.1002/art.42273 · DOI
- Ishiwatari-Ogata, 2022, Ozoralizumab, a humanized anti-TNFα NANOBODY® compound, exhibits efficacy not only at the onset of arthritis in a human TNF transgenic mouse but also during secondary failure of administration of an anti-TNFα IgG, Front. Immunol., 13, 10.3389/fimmu.2022.853008 · DOI
- Messer, 2020, Optimizing intracellular antibodies (intrabodies/nanobodies) to treat neurodegenerative disorders, Neurobiol. Dis., 134, 10.1016/j.nbd.2019.104619 · DOI
- Zheng, 2022, Applications of nanobodies in brain diseases, Front. Immunol., 13, 10.3389/fimmu.2022.978513 · DOI
- Tsitokana, 2023, Targeting the brain with single-domain antibodies: greater potential than stated so far?, Int. J. Mol. Sci., 24, 2632, 10.3390/ijms24032632 · DOI
- Frenken, 2000, Isolation of antigen specific Llama VHH antibody fragments and their high level secretion by Saccharomyces cerevisiae, J. Biotechnol., 78, 11, 10.1016/S0168-1656(99)00228-X · DOI
- Moutel, 2016, NaLi-H1: a universal synthetic library of humanized nanobodies providing highly functional antibodies and intrabodies, Elife, 5, 10.7554/eLife.16228 · DOI
- Desmyter, 2015, Camelid nanobodies: killing two birds with one stone, Curr. Opin. Struct. Biol., 32, 1, 10.1016/j.sbi.2015.01.001 · DOI
- Muyldermans, 2021, Applications of nanobodies, Annu. Rev. Anim. Biosci., 9, 401, 10.1146/annurev-animal-021419-083831 · DOI
- Danis, 2022, Inhibition of Tau seeding by targeting Tau nucleation core within neurons with a single domain antibody fragment, Mol. Ther., 30, 1484, 10.1016/j.ymthe.2022.01.009 · DOI · Paper page
- Guilliams, 2013, Nanobodies raised against monomeric α-synuclein distinguish between fibrils at different maturation stages, J. Mol. Biol., 425, 2397, 10.1016/j.jmb.2013.01.040 · DOI
- Lin, 2021, Computational maturation of a single-domain antibody against Aβ42 aggregation, Chem. Sci., 12, 13940, 10.1039/D1SC03898B · DOI
- Abskharon, 2014, Probing the N-terminal β-sheet conversion in the crystal structure of the human prion protein bound to a nanobody, J. Am. Chem. Soc., 136, 937, 10.1021/ja407527p · DOI
- Dupré, 2019, Single domain antibody fragments as new tools for the detection of neuronal tau protein in cells and in mice studies, ACS Chem. Neurosci., 10, 3997, 10.1021/acschemneuro.9b00217 · DOI
- Chan, 2008, Engineering a camelid antibody fragment that binds to the active site of human lysozyme and inhibits its conversion into amyloid fibrils, Biochemistry, 47, 11041, 10.1021/bi8005797 · DOI
- Abskharon, 2023, Structure-based design of nanobodies that inhibit seeding of Alzheimer’s patient–extracted tau fibrils, Proc. Natl. Acad. Sci., 120, 10.1073/pnas.2300258120 · DOI
- Fichou, 2019, The elusive tau molecular structures: can we translate the recent breakthroughs into new targets for intervention?, Acta Neuropathol. Commun., 7, 31, 10.1186/s40478-019-0682-x · DOI
- Fitzpatrick, 2017, Cryo-EM structures of tau filaments from Alzheimer’s disease, Nature, 547, 185, 10.1038/nature23002 · DOI · Paper page
- Scheres, 2023, Molecular pathology of neurodegenerative diseases by cryo-EM of amyloids, Nature, 621, 701, 10.1038/s41586-023-06437-2 · DOI
- Mudher, 2017, What is the evidence that tau pathology spreads through prion-like propagation?, Acta Neuropathol. Commun., 5, 99, 10.1186/s40478-017-0488-7 · DOI · Paper page
- Goedert, 2020, Chapter Ten - tau proteinopathies and the prion concept, Prog. Mol. Biol. Transl. Sci., 175, 239, 10.1016/bs.pmbts.2020.08.003 · DOI · Paper page
- Goedert, 2010, The propagation of prion-like protein inclusions in neurodegenerative diseases, Trends Neurosci., 33, 317, 10.1016/j.tins.2010.04.003 · DOI
- Franzmeier, 2020, Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease, Nat. Commun., 11, 347, 10.1038/s41467-019-14159-1 · DOI
- Franzmeier, 2022, Tau deposition patterns are associated with functional connectivity in primary tauopathies, Nat. Commun., 13, 1362, 10.1038/s41467-022-28896-3 · DOI
- Liu, 2018, Expression of single-domain antibody in different systems, Appl. Microbiol. Biotechnol., 102, 539, 10.1007/s00253-017-8644-3 · DOI
- Chao, 2022, Highly expressed soluble recombinant anti-GFP VHHs in Escherichia coli via optimized signal peptides, strains, and inducers, Front. Mol. Biosci., 9, 10.3389/fmolb.2022.848829 · DOI
- Sulea, 2022, Structure-based dual affinity optimization of a SARS-CoV-1/2 cross-reactive single-domain antibody, PLoS One, 17, 10.1371/journal.pone.0266250 · DOI
- Goldman, 2017, Enhancing stability of camelid and shark single domain antibodies: an overview, Front. Immunol., 8, 865, 10.3389/fimmu.2017.00865 · DOI
- Dingus, 2022, A general approach for stabilizing nanobodies for intracellular expression, Elife, 11, 10.7554/eLife.68253 · DOI
- Wagner, 2021, Nanobodies – little helpers unravelling intracellular signaling, Free Radic. Biol. Med., 176, 46, 10.1016/j.freeradbiomed.2021.09.005 · DOI
- Kvam, 2010, Physico-chemical determinants of soluble intrabody expression in mammalian cell cytoplasm, Protein Eng. Des. Sel., 23, 489, 10.1093/protein/gzq022 · DOI
- Fisher, 2009, Efficient isolation of soluble intracellular single-chain antibodies using the twin-arginine translocation machinery, J. Mol. Biol., 385, 299, 10.1016/j.jmb.2008.10.051 · DOI
- da Silva, 2004, Camelized rabbit-derived VH single-domain intrabodies against vif strongly neutralize HIV-1 infectivity, J. Mol. Biol., 340, 525, 10.1016/j.jmb.2004.04.062 · DOI
- Martineau, 1998, Expression of an antibody fragment at high levels in the bacterial cytoplasm, J. Mol. Biol., 280, 117, 10.1006/jmbi.1998.1840 · DOI
- Strube, 2004, Enhanced intracellular stability of sFv–Fc fusion intrabodies, Methods, 34, 179, 10.1016/j.ymeth.2004.04.003 · DOI
- Shaki-Loewenstein, 2005, A universal strategy for stable intracellular antibodies, J. Immunological Methods, 303, 19, 10.1016/j.jim.2005.05.004 · DOI
- Danis, 2019, Nuclear magnetic resonance spectroscopy insights into tau structure in solution: impact of post-translational modifications, Adv. Exp. Med. Biol., 1184, 35, 10.1007/978-981-32-9358-8_3 · DOI
- Rennella, 2023, Exploiting conformational dynamics to modulate the function of designed proteins, Proc. Natl. Acad. Sci. U. S. A., 120, 10.1073/pnas.2303149120 · DOI
- Alderson, 2021, NMR spectroscopy captures the essential role of dynamics in regulating biomolecular function, Cell, 184, 577, 10.1016/j.cell.2020.12.034 · DOI
- Shammas, 2015, A mechanistic model of tau amyloid aggregation based on direct observation of oligomers, Nat. Commun., 6, 10.1038/ncomms8025 · DOI
- von Bergen, 2000, Assembly of tau protein into Alzheimer paired helical filaments depends on a local sequence motif ((306)VQIVYK(311)) forming beta structure, Proc. Natl. Acad. Sci. U. S. A., 97, 5129, 10.1073/pnas.97.10.5129 · DOI · Paper page
- Lövestam, 2023, Disease-specific tau filaments assemble via polymorphic intermediates, Nature, 625, 119, 10.1038/s41586-023-06788-w · DOI
- Holmes, 2014, Proteopathic tau seeding predicts tauopathy in vivo, Proc. Natl. Acad. Sci. U. S. A., 111, E4376, 10.1073/pnas.1411649111 · DOI · Paper page
- Luginbühl, 2006, Directed evolution of an anti-prion protein scFv fragment to an affinity of 1 pM and its structural interpretation, J. Mol. Biol., 363, 75, 10.1016/j.jmb.2006.07.027 · DOI
- Van Roy, 2015, The preclinical pharmacology of the high affinity anti-IL-6R Nanobody® ALX-0061 supports its clinical development in rheumatoid arthritis, Arthritis Res. Ther., 17, 135, 10.1186/s13075-015-0651-0 · DOI
- Braun, 2016, Peptides in headlock – a novel high-affinity and versatile peptide-binding nanobody for proteomics and microscopy, Sci. Rep., 6, 10.1038/srep19211 · DOI
- Sheinerman, 2002, On the role of electrostatic interactions in the design of protein-protein interfaces, J. Mol. Biol., 318, 161, 10.1016/S0022-2836(02)00030-X · DOI
- Selzer, 2000, Rational design of faster associating and tighter binding protein complexes, Nat. Struct. Biol., 7, 537, 10.1038/76744 · DOI
- Govaert, 2012, Dual beneficial effect of interloop disulfide bond for single domain antibody fragments, J. Biol. Chem., 287, 1970, 10.1074/jbc.M111.242818 · DOI
- Kunz, 2017, Exploiting sequence and stability information for directing nanobody stability engineering, Biochim. Biophys. Acta Gen. Subj., 1861, 2196, 10.1016/j.bbagen.2017.06.014 · DOI
- Cadwell, 1992, Randomization of genes by PCR mutagenesis, PCR Methods Appl., 2, 28, 10.1101/gr.2.1.28 · DOI
- Vojtek, 1995, Ras-Raf interaction: two-hybrid analysis, Meth. Enzymol., 255, 331, 10.1016/S0076-6879(95)55036-4 · DOI
- Fromont-Racine, 1997, Toward a functional analysis of the yeast genome through exhaustive two-hybrid screens, Nat. Genet., 16, 277, 10.1038/ng0797-277 · DOI
- Danis, 2016, Nuclear magnetic resonance spectroscopy for the identification of multiple phosphorylations of intrinsically disordered proteins, J. Vis. Exp., 118
- Moreira, 2021, Dynamic interactions and Ca2+-binding modulate the holdase-type chaperone activity of S100B preventing tau aggregation and seeding, Nat. Commun., 12, 6292, 10.1038/s41467-021-26584-2 · DOI · Paper page
- Lee, 2021, POKY: a software suite for multidimensional NMR and 3D structure calculation of biomolecules, Bioinformatics, 37, 3041, 10.1093/bioinformatics/btab180 · DOI
- Hunter, 2007, Matplotlib: a 2D graphics environment, Comput. Sci. Eng., 9, 90, 10.1109/MCSE.2007.55 · DOI · Paper page
- Karlsson, 2006, Analyzing a kinetic titration series using affinity biosensors, Anal. Biochem., 349, 136, 10.1016/j.ab.2005.09.034 · DOI · Paper page
- Vagin, 2010, Molecular replacement with MOLREP, Acta Crystallogr. D Biol. Crystallogr., 66, 22, 10.1107/S0907444909042589 · DOI
- Murshudov, 2011, REFMAC5 for the refinement of macromolecular crystal structures, Acta Crystallogr. D Biol. Crystallogr., 67, 355, 10.1107/S0907444911001314 · DOI
- Emsley, 2010, Features and development of coot, Acta Crystallogr. D Biol. Crystallogr., 66, 486, 10.1107/S0907444910007493 · DOI · Paper page
- Waskom, 2021, seaborn: statistical data visualization, J. Open Source Softw., 6, 3021, 10.21105/joss.03021 · DOI · Paper page
- Banning, 2010, A flow cytometry-based FRET assay to identify and analyse protein-protein interactions in living cells, PLoS One, 5, 10.1371/journal.pone.0009344 · DOI
- White, 2021, FlowKit: a Python toolkit for integrated manual and automated cytometry analysis workflows, Front. Immunol., 12, 10.3389/fimmu.2021.768541 · DOI
- Virtanen, 2020, SciPy 1.0: fundamental algorithms for scientific computing in Python, Nat. Methods, 17, 261, 10.1038/s41592-019-0686-2 · DOI · Paper page
Cited by
Thiou, S., Martin, L., Manousaki, E., Nguyen, M., Mortelecque, J., Heidsieck, L., Cantrelle, F.-X., Blum, D., Buée-Scherrer, V., Buée, L., et al. (2026) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.6c00110 · Cited by 1
Self-citation
Metadata
- Authors
- Mortelecque, J., Zejneli, O., Bégard, S., Simões, M. C., ElHajjar, L., Nguyen, M., Cantrelle, F.-X., Hanoulle, X., Rain, J.-C., Colin, M., Gomes, C. M., Buée, L., Landrieu, I., Danis, C., & Dupré, E.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2024-04
- Volume
- 300
- Issue
- 4
- Pages
- 107163
- ISSN
- 0021-9258
- PMC
- PMC11007443
- Cited by
- 12
- References
- 1
- Language
- en
- Licence
- Funders
- Fundação para a Ciência e a Tecnologia (GA 101079147, UIDP/MULTI/04046/2020, UIDB/04046/2020, 2022.11023)
- Institute Pasteur De Lille
- French National Research Agency (ANR-18-CE44-0016, ANR-22-CE92-0061, ANR-11-LABX-01)
- Campus France
- Labex
- Centre National de la Recherche Scientifique
- European Commission
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.