The DOI matches its Crossref record; 882 of the 882 references it cites were found in a registry or an index.
Proteoglycan Chemical Diversity Drives Multifunctional Cell Regulation and Therapeutics
Open accessAbstract
The extracellular matrix (ECM) constitutes a highly dynamic three-dimensional structural network comprised of macromolecules, such as proteoglycans/glycosaminoglycans (PGs/GAGs), collagens, laminins, fibronectin, elastin, other glycoproteins and proteinases. In recent years, the field of PGs has expanded rapidly. Due to their high structural complexity and heterogeneity, PGs mediate several homeostatic and pathological processes. PGs consist of a protein core and one or more covalently attached GAG chains, which provide the protein cores with the ability to interact with several proteins. The GAG building blocks of PGs significantly influence the chemical and functional properties of PGs. The primary goal of this comprehensive review is to summarize major achievements and paradigm-shifting discoveries made on the PG/GAG chemistry-biology axis, focusing on structural variability, structure-function relationships, metabolic, molecular, and epigenetic mechanisms underlying their synthesis. Recent insights related to exosome biogenesis, degradation, and cell signaling, their status as diagnostic tools and potential pharmacological targets in diseases as well as current applications in nanotechnology and biotechnology are addressed. Moreover, issues related to docking studies, molecular modeling, GAG/PG interaction networks, and their integration are discussed.
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
5 retracted
Stigliano, I. D., Puricelli, L., Filmus, J., Sogayar, M. C., Joffé, E. B. D. K., & Peters, M. G. (2008) · Breast Cancer Research and Treatment · doi:10.1007/s10549-008-0009-2 · Cited by 82
RetractedAndreuzzi, E., Colladel, R., Pellicani, R., Tarticchio, G., Cannizzaro, R., Spessotto, P., Bussolati, B., Brossa, A., Paoli, P. D., Canzonieri, V., et al. (2017) · Matrix Biology · doi:10.1016/j.matbio.2017.04.002 · Cited by 82
Self-citationRetractedBuchanan, C., Stigliano, I. D., Garay-Malpartida, M., et al. (2009) · Breast Cancer Research and Treatment · doi:10.1007/s10549-009-0362-9 · Cited by 35
RetractedLiu, T., Zhang, X., Sha, K., Liu, X., Zhang, L., & Wang, B. (2015) · Cell Proliferation · doi:10.1111/cpr.12181 · Cited by 32
RetractedFassan, M., D’Arca, D., Letko, J., Vecchione, A. M., Gardiman, M. P., McCue, P. A., Wildemore, B., Rugge, M., Shupp-Byrne, D., Gomella, L. G., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019771 · Cited by 25
Self-citationRetractedCytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
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
SWISS‐MODEL and the Swiss‐Pdb Viewer: An environment for comparative protein modeling
Guex, N., & Peitsch, M. C. (1997) · ELECTROPHORESIS · doi:10.1002/elps.1150181505 · Cited by 11,241
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
Cell Signaling by Receptor Tyrosine Kinases
Lemmon, M. A., & Schlessinger, J. (2010) · Cell · doi:10.1016/j.cell.2010.06.011 · Cited by 7,929
Cited by
Molecular principles of metastasis: a hallmark of cancer revisited
Fares, J., Fares, M. Y., Khachfe, H. H., Salhab, H. A., & Fares, Y. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-0134-x · Cited by 2,379
Tumor Microenvironment: Extracellular Matrix Alterations Influence Tumor Progression
Brassart-Pasco, S., Brézillon, S., Brassart, B., Ramont, L., Oudart, J.-B., & Monboisse, J. C. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.00397 · Cited by 335
Self-citationVersican—A Critical Extracellular Matrix Regulator of Immunity and Inflammation
Wight, T. N., Kang, I., Evanko, S. P., Harten, I. A., Chang, M. Y., Pearce, O. M. T., Allen, C. E., & Frevert, C. W. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00512 · Cited by 268
Rhaman, M. M., Islam, M. R., Akash, S., Mim, M., Noor alam, M., Nepovimova, E., Valis, M., Kuca, K., & Sharma, R. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.989471 · Cited by 63
Structure of the human heparan sulfate polymerase complex EXT1-EXT2
Leisico, F., Omeiri, J., Le Narvor, C., Beaudouin, J., Hons, M., Fenel, D., Schoehn, G., Couté, Y., Bonnaffé, D., Sadir, R., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34882-6 · Cited by 45
Metadata
- Authors
- Karamanos, N. K., Piperigkou, Z., Theocharis, A. D., Watanabe, H., Franchi, M., Baud, S., Brézillon, S., Götte, M., Passi, A., Vigetti, D., Ricard-Blum, S., Sanderson, R. D., Neill, T., & Iozzo, R. V.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-09-11
- Volume
- 118
- Issue
- 18
- Pages
- 9152-9232
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2890624098
- Cited by
- 367
- References
- 882
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- green
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: Proteoglycan Chemical Diversity Drives Multifunctional Cell Regulation and Therapeutics. https://app.cochat.ai/papers/10.1021/acs.chemrev.8b00354
- The paper
- Karamanos, N. K., Piperigkou, Z., Theocharis, A. D., Watanabe, H., Franchi, M., Baud, S., Brézillon, S., Götte, M., Passi, A., Vigetti, D., Ricard-Blum, S., Sanderson, R. D., Neill, T., & Iozzo, R. V. (2018). Proteoglycan Chemical Diversity Drives Multifunctional Cell Regulation and Therapeutics. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.8b00354
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.