Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 299

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

NF-κB-Mediated Regulation of Osteoclastogenesis

Boyce, Brendan F., Xiu, Yan, Li, Jinbo, Xing, Lianping, Yao, Zhenqiang·2015·Endocrinology and Metabolism

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3803/enm.2015.30.1.35

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 Canonical and non-canonical nuclear factor-kappa B (NF-κB) signaling induced by receptor activator of NF-κB ligand (RANKL) and tumor necrosis factor (TNF). RANKL and TNF induce canonical signaling by recruiting TNF receptor (TNFR)-associated factor 6 (TRAF6) and TRAF2/5, respectively, to their receptors to activate a complex consisting of IκB kinase (IKK)-α, IKK-β and IKK-γ (NF-κB essential modulator, NEMO), which induces phosphorylation and degradation of IκB-α and the release of p65/p50 heterodimers, which translocate to the nucleus. This induces expression of c-Fos and nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1), two other transcription factors necessary for osteoclast precursor differentiation, as well as the inhibitory κB protein, NF-κB p100. In un-stimulated cells, p100 binds to RelB to prevent its translocation to the nucleus. RANKL induces the ubiquitination and lysosomal degradation of TRAF3 through TRAF2/cellular inhibitor of apoptosis 1/2 (cIAP1/2), releasing NF-κB-inducing kinase (NIK) to activate (phosphorylate) IKK-α, which leads to proteasomal processing of p100 to p52; RelB:p52 heterodimers then go to the nucleus to induce target gene expression. TNF does not degrade TRAF3, and thus NIK is degraded, leading to the accumulation of p100 in the cytoplasm of osteoclast precursors to limit their differentiation [3,4].
Fig. 1 Canonical and non-canonical nuclear factor-kappa B (NF-κB) signaling induced by receptor activator of NF-κB ligand (RANKL) and tumor necrosis factor (TNF). RANKL and TNF induce canonical signaling by recruiting TNF receptor (TNFR)-associated factor 6 (TRAF6) and TRAF2/5, respectively, to their receptors to activate a complex consisting of IκB kinase (IKK)-α, IKK-β and IKK-γ (NF-κB essential modulator, NEMO), which induces phosphorylation and degradation of IκB-α and the release of p65/p50 heterodimers, which translocate to the nucleus. This induces expression of c-Fos and nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1), two other transcription factors necessary for osteoclast precursor differentiation, as well as the inhibitory κB protein, NF-κB p100. In un-stimulated cells, p100 binds to RelB to prevent its translocation to the nucleus. RANKL induces the ubiquitination and lysosomal degradation of TRAF3 through TRAF2/cellular inhibitor of apoptosis 1/2 (cIAP1/2), releasing NF-κB-inducing kinase (NIK) to activate (phosphorylate) IKK-α, which leads to proteasomal processing of p100 to p52; RelB:p52 heterodimers then go to the nucleus to induce target gene expression. TNF does not degrade TRAF3, and thus NIK is degraded, leading to the accumulation of p100 in the cytoplasm of osteoclast precursors to limit their differentiation [3,4].CC BY-NC · PubMed Central

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 7 references

Research works printed but not linked: 57

  1. Boyce, 2013, J Bone Miner Res, 28, 711, 10.1002/jbmr.1885 · DOI
  2. Karin, 2005, Nat Rev Immunol, 5, 749, 10.1038/nri1703 · DOI
  3. Courtois, 2006, Oncogene, 25, 6831, 10.1038/sj.onc.1209939 · DOI
  4. Vallabhapurapu, 2009, Annu Rev Immunol, 27, 693, 10.1146/annurev.immunol.021908.132641 · DOI
  5. Boyce, 2007, Arthritis Res Ther, 9, S1, 10.1186/ar2165 · DOI
  6. Novack, 2003, J Exp Med, 198, 771, 10.1084/jem.20030116 · DOI
  7. Hayden, 2008, Cell, 132, 344, 10.1016/j.cell.2008.01.020 · DOI · Paper page
  8. Dobrzanski, 1995, Oncogene, 10, 1003
  9. Liou, 1992, EMBO J, 11, 3003, 10.1002/j.1460-2075.1992.tb05370.x · DOI
  10. Palombella, 1994, Cell, 78, 773, 10.1016/S0092-8674(94)90482-0 · DOI
  11. Madge, 2011, Cell Cycle, 10, 6, 10.4161/cc.10.1.14291 · DOI
  12. Shibata, 2007, J Immunol, 179, 2681, 10.4049/jimmunol.179.5.2681 · DOI
  13. Basak, 2012, Immunol Rev, 246, 221, 10.1111/j.1600-065X.2011.01092.x · DOI
  14. Yao, 2009, J Clin Invest, 119, 3024, 10.1172/JCI38716 · DOI
  15. Zarnegar, 2008, Nat Immunol, 9, 1371, 10.1038/ni.1676 · DOI
  16. Bonizzi, 2004, Trends Immunol, 25, 280, 10.1016/j.it.2004.03.008 · DOI · Paper page
  17. Senftleben, 2001, Science, 293, 1495, 10.1126/science.1062677 · DOI
  18. Fusco, 2008, J Biol Chem, 283, 12324, 10.1074/jbc.M707898200 · DOI
  19. Chang, 2009, Nat Med, 15, 682, 10.1038/nm.1954 · DOI
  20. Yao, 2014, J Bone Miner Res, 29, 866, 10.1002/jbmr.2108 · DOI
  21. Xing, 2013, Bone Res, 4, 336, 10.4248/BR201304004 · DOI
  22. Beg, 1995, Nature, 376, 167, 10.1038/376167a0 · DOI
  23. Franzoso, 1997, Genes Dev, 11, 3482, 10.1101/gad.11.24.3482 · DOI · Paper page
  24. Iotsova, 1997, Nat Med, 3, 1285, 10.1038/nm1197-1285 · DOI
  25. Lacey, 1998, Cell, 93, 165, 10.1016/S0092-8674(00)81569-X · DOI · Paper page
  26. Yasuda, 1998, Proc Natl Acad Sci U S A, 95, 3597, 10.1073/pnas.95.7.3597 · DOI
  27. Xing, 2002, J Bone Miner Res, 17, 1200, 10.1359/jbmr.2002.17.7.1200 · DOI · Paper page
  28. Xing, 2003, J Bone Miner Res, 18, 260, 10.1359/jbmr.2003.18.2.260 · DOI
  29. Fuller, 1993, J Exp Med, 178, 1733, 10.1084/jem.178.5.1733 · DOI
  30. Tanaka, 1993, J Clin Invest, 91, 257, 10.1172/JCI116179 · DOI
  31. Park-Min, 2013, J Bone Miner Res, 28, 135, 10.1002/jbmr.1739 · DOI
  32. Vaira, 2008, J Clin Invest, 118, 2088
  33. Vaira, 2008, Proc Natl Acad Sci U S A, 105, 3897, 10.1073/pnas.0708576105 · DOI
  34. Novack, 2011, Adv Exp Med Biol, 691, 163, 10.1007/978-1-4419-6612-4_17 · DOI
  35. Zhao, 2011, Arthritis Res Ther, 13, 234, 10.1186/ar3379 · DOI · Paper page
  36. Yamashita, 2007, J Biol Chem, 282, 18245, 10.1074/jbc.M610701200 · DOI
  37. Miyauchi, 2010, J Exp Med, 207, 751, 10.1084/jem.20091957 · DOI
  38. Darnay, 2007, Adv Exp Med Biol, 597, 152, 10.1007/978-0-387-70630-6_12 · DOI
  39. Otero, 2008, J Biol Chem, 283, 24546, 10.1074/jbc.M800434200 · DOI
  40. Ruocco, 2005, J Exp Med, 201, 1677, 10.1084/jem.20042081 · DOI · Paper page
  41. Otero, 2010, J Bone Miner Res, 25, 1282, 10.1002/jbmr.4 · DOI
  42. Jimi, 2004, Nat Med, 10, 617, 10.1038/nm1054 · DOI
  43. Aya, 2005, J Clin Invest, 115, 1848, 10.1172/JCI23763 · DOI
  44. Zhao, 2012, Stem Cells, 30, 709, 10.1002/stem.1050 · DOI · Paper page
  45. Taniguchi, 2014, J Biol Chem, 289, 7349, 10.1074/jbc.M113.538314 · DOI
  46. Weih, 1995, Cell, 80, 331, 10.1016/0092-8674(95)90416-6 · DOI
  47. Burkly, 1995, Nature, 373, 531, 10.1038/373531a0 · DOI
  48. Nakhaei, 2009, PLoS Pathog, 5, e1000650, 10.1371/journal.ppat.1000650 · DOI
  49. Hu, 2013, Nature, 494, 371, 10.1038/nature11831 · DOI
  50. Gonzalez-Noriega, 1980, J Cell Biol, 85, 839, 10.1083/jcb.85.3.839 · DOI
  51. Ben-Zvi, 2012, Clin Rev Allergy Immunol, 42, 145, 10.1007/s12016-010-8243-x · DOI
  52. Miller, 2012, Med Clin North Am, 96, 475, 10.1016/j.mcna.2012.04.003 · DOI
  53. He, 2006, J Exp Med, 203, 2413, 10.1084/jem.20061166 · DOI
  54. Chaisson, 2004, J Biol Chem, 279, 54841, 10.1074/jbc.M406392200 · DOI
  55. Zhao, 2009, Nat Med, 15, 1066, 10.1038/nm.2007 · DOI · Paper page
  56. Nishikawa, 2015, Nat Med, 21, 281, 10.1038/nm.3774 · DOI
  57. Li, 2014, J Clin Invest, 124, 5057, 10.1172/JCI71882 · DOI

Cited by

Metadata

Authors
Boyce, B. F., Xiu, Y., Li, J., Xing, L., & Yao, Z.
Affiliations
Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA.
Venue
Endocrinology and Metabolism
Published
2015
Volume
30
Issue
1
Pages
35
ISSN
  • 2093-596X
  • 2093-5978
Cited by
299
References
7
Language
en
Funders
National Institute of Health PHS (AR043510, AR48697, AR63650)

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.