The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Proteomic Analyses Reveal Divergent Ubiquitylation Site Patterns in Murine Tissues
Open accessAbstract
Posttranslational modifications of proteins increase the complexity of the cellular proteome and enable rapid regulation of protein functions in response to environmental changes. Protein ubiquitylation is a central regulatory posttranslational modification that controls numerous biological processes including proteasomal degradation of proteins, DNA damage repair and innate immune responses. Here we combine high-resolution mass spectrometry with single-step immunoenrichment of di-glycine modified peptides for mapping of endogenous putative ubiquitylation sites in murine tissues. We identify more than 20,000 unique ubiquitylation sites on proteins involved in diverse biological processes. Our data reveals that ubiquitylation regulates core signaling pathways common for each of the studied tissues. In addition, we discover that ubiquitylation regulates tissue-specific signaling networks. Many tissue-specific ubiquitylation sites were obtained from brain highlighting the complexity and unique physiology of this organ. We further demonstrate that different di-glycine-lysine-specific monoclonal antibodies exhibit sequence preferences, and that their complementary use increases the depth of ubiquitylation site analysis, thereby providing a more unbiased view of protein ubiquitylation.
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
Cites
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Hershko, A., & Ciechanover, A. (1998) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.67.1.425 · Cited by 8,840
The DNA-damage response in human biology and disease
Jackson, S. P., & Bartek, J. (2009) · Nature · doi:10.1038/nature08467 · Cited by 6,092
Biopython: freely available python tools for computational molecular biology and bioinformatics
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., et al. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp163 · Cited by 6,080
Genome-wide atlas of gene expression in the adult mouse brain
Lein, E. S., Hawrylycz, M. J., Ao, N., Ayres, M., Bensinger, A., Bernard, A., Boe, A. F., Boguski, M. S., Brockway, K. S., Byrnes, E. J., et al. (2007) · Nature · doi:10.1038/nature05453 · Cited by 5,572
Andromeda: A Peptide Search Engine Integrated into the MaxQuant Environment
Cox, J., Neuhauser, N., Michalski, A., Scheltema, R. A., Olsen, J. V., & Mann, M. (2011) · Journal of Proteome Research · doi:10.1021/pr101065j · Cited by 5,500
Self-citationRappsilber, J., Mann, M., & Ishihama, Y. (2007) · Nature Protocols · doi:10.1038/nprot.2007.261 · Cited by 4,641
Elias, J. E., & Gygi, S. P. (2007) · Nature Methods · doi:10.1038/nmeth1019 · Cited by 3,925
Global, In Vivo, and Site-Specific Phosphorylation Dynamics in Signaling Networks
Olsen, J. V., Blagoev, B., Gnad, F., Macek, B., Kumar, C., Mortensen, P., & Mann, M. (2006) · Cell · doi:10.1016/j.cell.2006.09.026 · Cited by 3,499
Self-citation
Cited by
A comprehensive compilation of SUMO proteomics
Hendriks, I. A., & Vertegaal, A. C. O. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.81 · Cited by 514
Large-scale identification of ubiquitination sites by mass spectrometry
Udeshi, N. D., Mertins, P., Svinkina, T., & Carr, S. A. (2013) · Nature Protocols · doi:10.1038/nprot.2013.120 · Cited by 296
Povlsen, L. K., Beli, P., Wagner, S. A., Poulsen, S. L., Sylvestersen, K. B., Poulsen, J. W., Nielsen, M. L., Bekker-Jensen, S., Mailand, N., & Choudhary, C. (2012) · Nature Cell Biology · doi:10.1038/ncb2579 · Cited by 288
Self-citationProteome-wide analysis of chaperone-mediated autophagy targeting motifs
Kirchner, P., Bourdenx, M., Madrigal-Matute, J., Tiano, S., Diaz, A., Bartholdy, B. A., Will, B., & Cuervo, A. M. (2019) · PLOS Biology · doi:10.1371/journal.pbio.3000301 · Cited by 257
Lussier, M. P., Sanz-Clemente, A., & Roche, K. W. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.r115.652750 · Cited by 163
Metadata
- Authors
- Wagner, S. A., Beli, P., Weinert, B. T., Schölz, C., Kelstrup, C. D., Young, C., Nielsen, M. L., Olsen, J. V., Brakebusch, C., & Choudhary, C.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2012-12
- Volume
- 11
- Issue
- 12
- Pages
- 1578-1585
- ISSN
- 1535-9476 (ISSN-L)
- OpenAlex
- W2172012754
- Cited by
- 285
- References
- 49
- FWCI
- 8.13
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Proteomic Analyses Reveal Divergent Ubiquitylation Site Patterns in Murine Tissues. https://app.cochat.ai/papers/10.1074/mcp.m112.017905
- The paper
- Wagner, S. A., Beli, P., Weinert, B. T., Schölz, C., Kelstrup, C. D., Young, C., Nielsen, M. L., Olsen, J. V., Brakebusch, C., & Choudhary, C. (2012). Proteomic Analyses Reveal Divergent Ubiquitylation Site Patterns in Murine Tissues. Molecular & Cellular Proteomics. https://doi.org/10.1074/mcp.m112.017905
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.