The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Surfaceome dynamics reveal proteostasis-independent reorganization of neuronal surface proteins during development and synaptic plasticity
Published version of a preprint
Abstract
Neurons are highly compartmentalized cells with tightly controlled subcellular protein organization. While brain transcriptome, connectome and global proteome maps are being generated, system-wide analysis of temporal protein dynamics at the subcellular level are currently lacking. Here, we perform a temporally-resolved surfaceome analysis of primary neuron cultures and reveal dynamic surface protein clusters that reflect the functional requirements during distinct stages of neuronal development. Direct comparison of surface and total protein pools during development and homeostatic synaptic scaling demonstrates system-wide proteostasis-independent remodeling of the neuronal surface, illustrating widespread regulation on the level of surface trafficking. Finally, quantitative analysis of the neuronal surface during chemical long-term potentiation (cLTP) reveals fast externalization of diverse classes of surface proteins beyond the AMPA receptor, providing avenues to investigate the requirement of exocytosis for LTP. Our resource (neurosurfaceome.ethz.ch) highlights the importance of subcellular resolution for systems-level understanding of cellular processes.
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.
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?
Extensive changes in the neuronal surface proteome upon cLTP are mediated by the delivery of membrane proteins from intracellular compartments.
“recent findings that show extensive changes in the neuronal surface proteome upon cLTP, which are mediated by the delivery of membrane proteins from intracellular compartments”
From PI(3)P coordinates SNX17- and SNX27-dependent protein recycling for long-term synaptic plasticity (2025) · cites this paper as van Oostrum et al., 2020
The Results section (‘Surface trafficking of diverse cargo during cLTP,’ Fig. 6) reports extensive surface-protein changes and says the increased surface abundance of AMPA receptors indicates exocytosis. It does not establish that delivery from intracellular compartments mediates the broader set of changes; the Discussion says the other proteins with increased surface abundance *could* account for the role of exocytosis. (LLM, conf=0.86)
Experimental — accuracy not yet measuredEndocytic recycling is a key mechanism by which neurons control the composition of surface receptors, adhesion molecules, and transporters in response to synaptic activity.
“Endocytic recycling, in which internalized surface proteins are routed back to the plasma membrane, is a key mechanism by which neurons control the composition of surface receptors, adhesion molecules, and transporters in response to synaptic activity”
From Dual endomembrane recycling pathways function in parallel to support synapse maintenance and plasticity (2025) · cites this paper as van Oostrum et al., 2020
The Results sections on surface-abundance profiles and differential regulation identify endosomal recycling as one of several processes that help control neuronal surface proteins and synaptic plasticity. The cLTP Results report activity-related surface changes in receptors, adhesion molecules, and solute carriers. The paper does not establish that endocytic recycling specifically drives those changes or is the key mechanism for them; it also discusses biosynthesis, degradation, and other surface trafficking. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMultiple types of proteins undergo rapid externalization in response to cLTP.
“A recent quantitative analysis of the neuronal surface proteome demonstrated that multiple types of proteins undergo rapid externalization in response to cLTP (van Oostrum et al., 2020).”
From PI(3)P coordinates SNX17- and SNX27-dependent protein recycling for long-term synaptic plasticity (2025) · cites this paper as van Oostrum et al., 2020
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
Zhang, Y., Chen, K., Sloan, S. A., Bennett, M. L., Scholze, A. R., O'Keeffe, S., Phatnani, H. P., Guarnieri, P., Caneda, C., Ruderisch, N., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1860-14.2014 · Cited by 4,875
Gillet, L. C., Navarro, P., Tate, S., Röst, H., Selevsek, N., Reiter, L., Bonner, R., & Aebersold, R. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.016717 · Cited by 2,877
Molecular anatomy of a trafficking organelle
Takamori, S., Holt, M., Stenius, K., Lemke, E. A., Grønborg, M., Riedel, D., Urlaub, H., Schenck, S., Brügger, B., Ringler, P., et al. (2006) · Cell · doi:10.1016/j.cell.2006.10.030 · Cited by 2,373
Bruderer, R., Bernhardt, O. M., Gandhi, T., Miladinović, S. M., Cheng, L.-Y., Messner, S., Ehrenberger, T., Zanotelli, V., Butscheid, Y., Escher, C., et al. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.044305 · Cited by 1,238
The AMPA Receptor Code of Synaptic Plasticity
Diering, G. H., & Huganir, R. L. (2018) · Neuron · doi:10.1016/j.neuron.2018.10.018 · Cited by 844
Cell type- and brain region-resolved mouse brain proteome
Sharma, K., Schmitt, S., Bergner, C. G., Tyanova, S., Kannaiyan, N., Manrique-Hoyos, N., Kongi, K., Cantuti, L., Hanisch, U.-K., Philips, M.-A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4160 · Cited by 785
Regulation of AMPA receptor trafficking and synaptic plasticity
Anggono, V., & Huganir, R. L. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.12.006 · Cited by 588
AMPA Receptor Incorporation into Synapses during LTP: The Role of Lateral Movement and Exocytosis
Makino, H., & Malinow, R. (2009) · Neuron · doi:10.1016/j.neuron.2009.08.035 · Cited by 501
Proteomic Analysis of Unbounded Cellular Compartments: Synaptic Clefts
Loh, K. H., Stawski, P. S., Draycott, A. S., Udeshi, N. D., Lehrman, E. K., Wilton, D. K., Svinkina, T., Deerinck, T. J., Ellisman, M. H., Stevens, B., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.041 · Cited by 399
Hippocampal LTP and contextual learning require surface diffusion of AMPA receptors
Penn, A. C., Zhang, C. L., Georges, F., Royer, L., Breillat, C., Hosy, E., Petersen, J. D., Humeau, Y., & Choquet, D. (2017) · Nature · doi:10.1038/nature23658 · Cited by 324
LTP requires a reserve pool of glutamate receptors independent of subunit type
Granger, A. J., Shi, Y., Lu, W., Cerpas, M., & Nicoll, R. A. (2013) · Nature · doi:10.1038/nature11775 · Cited by 313
Postsynaptic expression of homeostatic plasticity at neocortical synapses
Wierenga, C. J., Ibata, K., & Turrigiano, G. G. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.5217-04.2005 · Cited by 306
Ubiquitination in postsynaptic function and plasticity
Mabb, A. M., & Ehlers, M. D. (2010) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-100109-104129 · Cited by 255
Cell-type-specific metabolic labeling of nascent proteomes in vivo
Alvarez-Castelao, B., Schanzenbächer, C. T., Hanus, C., Glock, C., tom Dieck, S., Dörrbaum, A. R., Bartnik, I., Nassim-Assir, B., Ciirdaeva, E., Mueller, A., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.4016 · Cited by 219
A three-step model for the synaptic recruitment of AMPA receptors
Opazo, P., & Choquet, D. (2011) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2010.08.014 · Cited by 190
Presynaptic neuronal pentraxin receptor organizes excitatory and inhibitory synapses
Lee, S.-J., Wei, M., Zhang, C., Maxeiner, S., Pak, C., Calado Botelho, S., Trotter, J., Sterky, F. H., & Südhof, T. C. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.2768-16.2016 · Cited by 146
Chen, X., Luo, J., Leng, Y., Yang, Y., Zweifel, L. S., Palmiter, R. D., & Storm, D. R. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.12.012 · Cited by 74
Flagged first, then by citations
Research works printed but not linked: 76
- Hanus, C. & Schuman, E. M. Proteostasis in complex dendrites. Nat. Rev. Neurosci. 14, 638–648 (2013). · DOI
- Malenka, R. C. & Bear, M. F. LTP and LTD: an embarrassment of riches. Neuron 44, 5–21 (2004). · DOI · Paper page
- Nicoll, R. A. A brief history of long-term potentiation. Neuron 93, 281–290 (2017). · DOI · Paper page
- Grant, S. G. N. Synaptopathies: diseases of the synaptome. Curr. Opin. Neurobiol. 22, 522–529 (2012). · DOI · Paper page
- de Wit, J. & Ghosh, A. Specification of synaptic connectivity by cell surface interactions. Nat. Rev. Neurosci. 17, 22–35 (2016). · DOI
- Südhof, T. C. Towards an understanding of synapse formation. Neuron 100, 276–293 (2018). · DOI · Paper page
- Antebi, Y. E. et al. Combinatorial signal perception in the BMP pathway. Cell 170, 1184–1196 (2017). · DOI
- Frese, C. K. et al. Quantitative map of proteome dynamics during neuronal differentiation. Cell Rep. 18, 1527–1542 (2017). · DOI
- Schanzenbächer, C. T., Sambandan, S., Langer, J. D. & Schuman, E. M. Nascent proteome remodeling following homeostatic scaling at hippocampal synapses. Neuron 92, 358–371 (2016). · DOI
- Schanzenbächer, C. T., Langer, J. D. & Schuman, E. M. Time- and polarity-dependent proteomic changes associated with homeostatic scaling at central synapses. Elife 7, e33322 (2018). · DOI
- Bayés, A. et al. Characterization of the proteome, diseases and evolution of the human postsynaptic density. Nat. Neurosci. 14, 19–21 (2011). · DOI · Paper page
- Uezu, A. et al. Identification of an elaborate complex mediating postsynaptic inhibition. Science 353, 1123–1129 (2016). · DOI · Paper page
- Roy, M. et al. Proteomic analysis of postsynaptic proteins in regions of the human neocortex. Nat. Neurosci. 21, 130–138 (2018). · DOI
- Boyken, J. et al. Molecular profiling of synaptic vesicle docking sites reveals novel proteins but few differences between glutamatergic and GABAergic synapses. Neuron 78, 285–297 (2013). · DOI
- Biesemann, C. et al. Proteomic screening of glutamatergic mouse brain synaptosomes isolated by fluorescence activated sorting. EMBO J. 33, 157–170 (2014). · DOI · Paper page
- Cagnetta, R., Frese, C. K., Shigeoka, T., Krijgsveld, J. & Holt, C. E. Rapid cue-specific remodeling of the nascent axonal proteome. Neuron https://doi.org/10.1016/j.neuron.2018.06.004 (2018). · DOI
- Schwenk, J. et al. Regional diversity and developmental dynamics of the AMPA-receptor proteome in the mammalian brain. Neuron 84, 41–54 (2014). · DOI
- Schwenk, J. et al. High-resolution proteomics unravel architecture and molecular diversity of native AMPA receptor complexes. Neuron 74, 621–633 (2012). · DOI · Paper page
- Schwenk, J. et al. Native GABAB receptors are heteromultimers with a family of auxiliary subunits. Nature 465, 231–235 (2010). · DOI
- Schwenk, J. et al. Modular composition and dynamics of native GABAB receptors identified by high-resolution proteomics. Nat. Neurosci. 19, 233–242 (2016). · DOI
- Itzhak, D. N. et al. A mass spectrometry-based approach for mapping protein subcellular localization reveals the spatial proteome of mouse primary neurons. Cell Rep. 20, 2706–2718 (2017). · DOI · Paper page
- Herber, J. et al. Click chemistry-mediated biotinylation reveals a function for the protease BACE1 in modulating the neuronal surface glycoproteome. Mol. Cell. Proteom. 17, 1487–1501 (2018). · DOI
- Kuhn, P.-H. et al. Systematic substrate identification indicates a central role for the metalloprotease ADAM10 in axon targeting and synapse function. Elife 5, e12748 (2016). · DOI · Paper page
- Lundberg, E. & Borner, G. H. H. Spatial proteomics: a powerful discovery tool for cell biology. Nat. Rev. Mol. Cell Biol. (2019) https://doi.org/10.1038/s41580-018-0094-y (2019). · DOI · Paper page
- Wollscheid, B. et al. Mass-spectrometric identification and relative quantification of N-linked cell surface glycoproteins. Nat. Biotechnol. 27, 378–386 (2009). · DOI · Paper page
- van Oostrum, M. et al. Classification of mouse B cell types using surfaceome proteotype maps. Nat. Commun. 10, 5734 (2019). · DOI
- Dotti, C. G., Sullivan, C. A. & Banker, G. A. The establishment of polarity by hippocampal neurons in culture. J. Neurosci. 8, 1454–1468 (1988). · DOI · Paper page
- van Spronsen, M. et al. Developmental and activity-dependent miRNA expression profiling in primary hippocampal neuron cultures. PLoS ONE 8, e74907 (2013). · DOI · Paper page
- Bruderer, R. et al. Optimization of experimental parameters in data-independent mass spectrometry significantly increases depth and reproducibility of results. Mol. Cell. Proteom. (2017) https://doi.org/10.1074/mcp.RA117.000314 (2017). · DOI
- Kumar, L. & Futschik, E. M. Mfuzz: a software package for soft clustering of microarray data. Bioinformation 2, 5–7 (2007). · DOI
- Schwämmle, V. & Jensen, O. N. A simple and fast method to determine the parameters for fuzzy c-means cluster analysis. Bioinformatics 26, 2841–2848 (2010). · DOI
- Goo, M. S. et al. Activity-dependent trafficking of lysosomes in dendrites and dendritic spines. J. Cell Biol. 216, 2499–2513 (2017). · DOI · Paper page
- Hanus, C. & Ehlers, M. D. Specialization of biosynthetic membrane trafficking for neuronal form and function. Curr. Opin. Neurobiol. 39, 8–16 (2016). · DOI
- Giurgiu, M. et al. CORUM: the comprehensive resource of mammalian protein complexes-2019. Nucleic Acids Res. 47, D559–D563 (2019). · DOI · Paper page
- Földy, C. et al. Single-cell RNAseq reveals cell adhesion molecule profiles in electrophysiologically defined neurons. Proc. Natl Acad. Sci. USA 113, E5222–E5231 (2016). · DOI · Paper page
- Fritschy, J.-M., Panzanelli, P. & Tyagarajan, S. K. Molecular and functional heterogeneity of GABAergic synapses. Cell. Mol. Life Sci. 69, 2485–2499 (2012). · DOI
- Chechik, G. & Koller, D. Timing of gene expression responses to environmental changes. J. Comput. Biol. 16, 279–290 (2009). · DOI
- Sander, J., Schultze, J. L. & Yosef, N. ImpulseDE: detection of differentially expressed genes in time series data using impulse models. Bioinformatics 33, 757–759 (2017). · DOI
- Turrigiano, G. G. The self-tuning neuron: synaptic scaling of excitatory synapses. Cell 135, 422–435 (2008). · DOI · Paper page
- Dörrbaum, A. R., Alvarez-Castelao, B., Nassim-Assir, B., Langer, J. D. & Schuman, E. M. Proteome dynamics during homeostatic scaling in cultured neurons. Elife 9, e52939 (2020). · DOI
- Ibata, K., Sun, Q. & Turrigiano, G. G. Rapid synaptic scaling induced by changes in postsynaptic firing. Neuron 57, 819–826 (2008). · DOI · Paper page
- Schaukowitch, K. et al. An intrinsic transcriptional program underlying synaptic scaling during activity suppression. Cell Rep. 18, 1512–1526 (2017). · DOI
- Peng, Y.-R., Hou, Z.-H. & Yu, X. The kinase activity of EphA4 mediates homeostatic scaling-down of synaptic strength via activation of Cdk5. Neuropharmacology 65, 232–243 (2013). · DOI
- Nguyen, T. A. et al. SIDT2 transports extracellular dsRNA into the cytoplasm for innate immune recognition. Immunity 47, 498–509 (2017). · DOI
- Takahashi, M. et al. SIDT2 mediates gymnosis, the uptake of naked single-stranded oligonucleotides into living cells. RNA Biol. 14, 1534–1543 (2017). · DOI · Paper page
- Jurado, S. et al. LTP requires a unique postsynaptic SNARE fusion machinery. Neuron 77, 542–558 (2013). · DOI · Paper page
- Choquet, D. Linking nanoscale dynamics of AMPA receptor organization to plasticity of excitatory synapses and learning. J. Neurosci. 38, 9318–9329 (2018). · DOI · Paper page
- Harward, S. C., Hedrick, N. G., Hall, C. E. & Parra-Bueno, P. Autocrine BDNF–TrkB signalling within a single dendritic spine. Nature 538, 99–103 (2016). · DOI · Paper page
- Hiester, B. G., Becker, M. I., Bowen, A. B., Schwartz, S. L. & Kennedy, M. J. Mechanisms and role of dendritic membrane trafficking for long-term potentiation. Front. Cell. Neurosci. 12, 391 (2018). · DOI · Paper page
- Groc, L. & Choquet, D. Linking glutamate receptor movements and synapse function. Science 368, eaay4631 (2020). · DOI · Paper page
- Choquet, D. & Hosy, E. AMPA receptor nanoscale dynamic organization and synaptic plasticities. Curr. Opin. Neurobiol. 63, 137–145 (2020). · DOI
- Hafner, A.-S. et al. Lengthening of the stargazin cytoplasmic Tail increases synaptic transmission by promoting interaction to deeper domains of PSD-95. Neuron 86, 475–489 (2015). · DOI · Paper page
- Curtis, J., Errington, M., Bliss, T., Voss, K. & MacLeod, N. Age-dependent loss of PTP and LTP in the hippocampus of PrP-null mice. Neurobiol. Dis. 13, 55–62 (2003). · DOI
- Chen, C. -M. et al. Wnt5a is essential for hippocampal dendritic maintenance and spatial learning and memory in adult mice. Proc. Natl Acad. Sci. USA https://doi.org/10.1073/pnas.1615792114 (2017). · DOI
- Jing, J. et al. Proteomic mapping of ER-PM junctions identifies STIMATE as a regulator of Ca2+ influx. Nat. Cell Biol. 17, 1339–1347 (2015). · DOI
- Syeda, R. et al. LRRC8 proteins form volume-regulated anion channels that sense ionic strength. Cell 164, 499–511 (2016). · DOI
- Voss, F. K. et al. Identification of LRRC8 heteromers as an essential component of the volume-regulated anion channel VRAC. Science 344, 634–638 (2014). · DOI
- Südhof, T. C. Synaptic neurexin complexes: a molecular code for the logic of neural circuits. Cell 171, 745–769 (2017). · DOI · Paper page
- Nandagopal, N. et al. Dynamic ligand discrimination in the notch signaling pathway. Cell https://doi.org/10.1016/j.cell.2018.01.002. (2018). · DOI
- Telley, L. et al. Sequential transcriptional waves direct the differentiation of newborn neurons in the mouse neocortex. Science 351, 1443–1446 (2016). · DOI
- Sigler, A. et al. Formation and maintenance of functional spines in the absence of presynaptic glutamate release. Neuron 94, 304–311 (2017). · DOI
- Kwon, H.-B. & Sabatini, B. L. Glutamate induces de novo growth of functional spines in developing cortex. Nature 474, 100–104 (2011). · DOI · Paper page
- Oh, W. C., Lutzu, S., Castillo, P. E. & Kwon, H.-B. De novo synaptogenesis induced by GABA in the developing mouse cortex. Science 353, 1037–1040 (2016). · DOI
- Stamou, M., Grodzki, A. C., van Oostrum, M., Wollscheid, B. & Lein, P. J. Fc gamma receptors are expressed in the developing rat brain and activate downstream signaling molecules upon cross-linking with immune complex. J. Neuroinflamm. 15, 7 (2018). · DOI
- Tyagarajan, S. K. & Ghosh, H. Regulation of GABAergic synapse formation and plasticity by GSK3β-dependent phosphorylation of gephyrin. Proc. Natl Acad. Sci. 108, 379–384 (2011). · DOI
- Larsen, D., Pittelkow, M., Karmakar, S. & Kool, E. T. New organocatalyst scaffolds with high activity in promoting hydrazone and oxime formation at neutral pH. Org. Lett. 17, 274–277 (2015). · DOI
- Perez-Riverol, Y. et al. The PRIDE database and related tools and resources in 2019: improving support for quantification data. Nucleic Acids Res. 47, D442–D450 (2019). · DOI
- Blattmann, P. et al. Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins. Sci. Data 6, 190011 (2019). · DOI
- Choi, M. et al. MSstats: an R package for statistical analysis of quantitative mass spectrometry-based proteomic experiments. Bioinformatics 30, 2524–2526 (2014). · DOI
- Conway, J. R., Lex, A. & Gehlenborg, N. UpSetR: an R package for the visualization of intersecting sets and their properties. Bioinformatics 33, 2938–2940 (2017). · DOI · Paper page
- Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 44, W90–W97 (2016). · DOI · Paper page
- Alexa, A. & Rahnenfuhrer, J. topGO: enrichment analysis for gene ontology. R. Package Version 2, 2010 (2010).
- Dzyubenko, E., Rozenberg, A., Hermann, D. M. & Faissner, A. Colocalization of synapse marker proteins evaluated by STED-microscopy reveals patterns of neuronal synapse distribution in vitro. J. Neurosci. Methods 273, 149–159 (2016). · DOI
- Fritschy, J. M. & Mohler, H. GABAA-receptor heterogeneity in the adult rat brain: differential regional and cellular distribution of seven major subunits. J. Comp. Neurol. 359, 154–194 (1995). · DOI · Paper page
- Cajigas, I. J. et al. The local transcriptome in the synaptic neuropil revealed by deep sequencing and high-resolution imaging. Neuron 74, 453–466 (2012). · DOI · Paper page
- von Mering, C. et al. STRING: known and predicted protein-protein associations, integrated and transferred across organisms. Nucleic Acids Res. 33, D433–D437 (2005). · DOI
Cited by
Sorted by citations
The proteomic landscape of synaptic diversity across brain regions and cell types
van Oostrum, M., Blok, T. M., Giandomenico, S. L., tom Dieck, S., Tushev, G., Fürst, N., Langer, J. D., & Schuman, E. M. (2023) · Cell · doi:10.1016/j.cell.2023.09.028 · Cited by 135
Self-citationIn situ cell-type-specific cell-surface proteomic profiling in mice
Shuster, S. A., Li, J., Chon, U., Sinantha-Hu, M. C., Luginbuhl, D. J., Udeshi, N. D., Carey, D. K., Takeo, Y. H., Xie, Q., Xu, C., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.025 · Cited by 70
Recruitment of the SNX17-Retriever recycling pathway regulates synaptic function and plasticity
Rivero-Ríos, P., Tsukahara, T., Uygun, T., Chen, A., Chavis, G. D., Giridharan, S. S. P., Iwase, S., Sutton, M. A., & Weisman, L. S. (2023) · Journal of Cell Biology · doi:10.1083/jcb.202207025 · Cited by 17
PI(3)P coordinates SNX17- and SNX27-dependent protein recycling for long-term synaptic plasticity
Rivero-Ríos, P., Uygun, T., Chavis, G. D., Lee, H., Duan, B., Sutton, M. A., & Weisman, L. S. (2025) · Journal of Cell Biology · doi:10.1083/jcb.202411198 · Cited by 1
Chavis, G. D., Rivero-Ríos, P., Uygun, T., Tsukahara, T., Hayami, T., Lee, G. Y., Lee, M., Pace, C., Czesak, F. N., Hilde, K. L., et al. (2025) · Neuroscience · doi:10.1016/j.neuroscience.2025.11.009
Metadata
- Authors
- van Oostrum, M., Campbell, B., Seng, C., Müller, M., tom Dieck, S., Hammer, J., Pedrioli, P. G. A., Földy, C., Tyagarajan, S. K., & Wollscheid, B.
- ORCID
- Venue
- Nature Communications
- Published
- 2020-10-05
- Volume
- 11
- Issue
- 1
- ISSN
- 2041-1723
- PMC
- PMC7536423
- Cited by
- 46
- References
- 17
- Language
- en
- Update notices
- correction (2020-11-06)
- Funders
- Eidgenössische Technische Hochschule Zürich (ETH-25 15-2)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A_160259)
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