The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Constitutive NF-kappa B activation, enhanced granulopoiesis, and neonatal lethality in I kappa B alpha-deficient mice.
Open accessAbstract
Transcription factors belonging to the NF-kappa B family are controlled by inhibitory I kappa B proteins, mainly I kappa B alpha and I kappa B beta. Apparently normal at birth, I kappa B alpha-/- mice exhibit severe runting, skin defects, and extensive granulopoiesis postnatally, typically dying by 8 days. Hematopoietic tissues from these mice display elevated levels of both nuclear NF-kappa B and mRNAs of some, but not all, genes thought to be regulated by NF-kappa B. NF-kappa B elevation results in these phenotypic abnormalities because mice lacking both I kappa B alpha and the p50 subunit of NF-kappa B show a dramatically delayed onset of abnormalities. In contrast to hematopoietic cells, I kappa B alpha-/- embryonic fibroblasts show minimal constitutive NF-kappa B, as well as normal signal-dependent NF-kappa B activation that is concomitant with I kappa B beta degradation. Our results indicate that I kappa b beta, but not I kappa B alpha, is required for the signal-dependent activation of NF-kappa B in fibroblasts. However, I kappa B alpha is required for the postinduction repression of NF-kappa B in fibroblasts. These results define distinct roles for the two forms of I kappa B and demonstrate the necessity for stringent control of NF-kappa B.
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
Function and Activation of NF-kappaB in the Immune System
Baeuerle, P. A., & Henkel, T. (1994) · Annual Review of Immunology · doi:10.1146/annurev.iy.12.040194.001041 · Cited by 4,745
Targeted mutation of the DNA methyltransferase gene results in embryonic lethality
Li, E., Bestor, T. H., & Jaenisch, R. (1992) · Cell · doi:10.1016/0092-8674(92)90611-f · Cited by 3,984
Strain-Dependent Epithelial Defects in Mice Lacking the EGF Receptor
Sibilia, M., & Wagner, E. F. (1995) · Science · doi:10.1126/science.7618085 · Cited by 1,002
Cited by
THE NF-κB AND IκB PROTEINS: New Discoveries and Insights
Baldwin, A. S. (1996) · Annual Review of Immunology · doi:10.1146/annurev.immunol.14.1.649 · Cited by 4,979
Phosphorylation meets ubiquitination: the control of NF-κB activity
Karin, M., & Ben-Neriah, Y. (2000) · Annual Review of Immunology · doi:10.1146/annurev.immunol.18.1.621 · Cited by 4,766
NF-κB regulation in the immune system
Li, Q., & Verma, I. M. (2002) · Nature Reviews Immunology · doi:10.1038/nri910 · Cited by 4,007
Hayden, M. S., & Ghosh, S. (2004) · Genes & Development · doi:10.1101/gad.1228704 · Cited by 3,842
NF-κB, the first quarter-century: remarkable progress and outstanding questions
Hayden, M. S., & Ghosh, S. (2012) · Genes & Development · doi:10.1101/gad.183434.111 · Cited by 1,693
Failure to Regulate TNF-Induced NF-κB and Cell Death Responses in A20-Deficient Mice
Lee, E. G., Boone, D. L., Chai, S., Libby, S. L., Chien, M., Lodolce, J. P., & Ma, A. (2000) · Science · doi:10.1126/science.289.5488.2350 · Cited by 1,409
Hayden, M. S., West, A. P., & Ghosh, S. (2006) · Oncogene · doi:10.1038/sj.onc.1209943 · Cited by 1,178
Requirement for NF-κB in osteoclast and B-cell development
Franzoso, G., Carlson, L., Xing, L., Poljak, L., Shores, E. W., Brown, K. D., Leonardi, A., Tran, T., Boyce, B. F., & Siebenlist, U. (1997) · Genes & Development · doi:10.1101/gad.11.24.3482 · Cited by 996
De Bosscher, K., Vanden Berghe, W., & Haegeman, G. (2003) · Endocrine Reviews · doi:10.1210/er.2002-0006 · Cited by 898
microRNA Regulation of Inflammatory Responses
O'Connell, R. M., Rao, D. S., & Baltimore, D. (2012) · Annual Review of Immunology · doi:10.1146/annurev-immunol-020711-075013 · Cited by 843
Self-citationA CONSERVED SIGNALING PATHWAY: The Drosophila Toll-Dorsal Pathway
Belvin, M. P., & Anderson, K. V. (1996) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev.cellbio.12.1.393 · Cited by 836
Lian, H., Yang, L., Cole, A., Sun, L., Chiang, A. C.-A., Fowler, S. W., Shim, D. J., Rodriguez-Rivera, J., Taglialatela, G., Jankowsky, J. L., et al. (2015) · Neuron · doi:10.1016/j.neuron.2014.11.018 · Cited by 697
Lian, H., Litvinchuk, A., Chiang, A. C.-A., Aithmitti, N., Jankowsky, J. L., & Zheng, H. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2117-15.2016 · Cited by 597
RIG-I detects viral genomic RNA during negative-strand RNA virus infection
Rehwinkel, J., Tan, C. P., Goubau, D., Schulz, O., Pichlmair, A., Bier, K., Robb, N., Vreede, F., Barclay, W., Fodor, E., et al. (2010) · Cell · doi:10.1016/j.cell.2010.01.020 · Cited by 585
NF-κB dysregulation in microRNA-146a–deficient mice drives the development of myeloid malignancies
Zhao, J. L., Rao, D. S., Boldin, M. P., Taganov, K. D., O'Connell, R. M., & Baltimore, D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105398108 · Cited by 386
Self-citationPhillips, T., & Leeuwenburgh, C. (2005) · The FASEB Journal · doi:10.1096/fj.04-2870fje · Cited by 283
Restraint of inflammatory signaling by interdependent strata of negative regulatory pathways
Murray, P. J., & Smale, S. T. (2012) · Nature Immunology · doi:10.1038/ni.2391 · Cited by 170
A role for NF-κB–dependent gene transactivation in sunburn
Abeyama, K., Eng, W., Jester, J. V., Vink, A. A., Edelbaum, D., Cockerell, C. J., Bergstresser, P. R., & Takashima, A. (2000) · Journal of Clinical Investigation · doi:10.1172/jci9745 · Cited by 160
The genomic landscapes of inflammation
Natoli, G., Ghisletti, S., & Barozzi, I. (2011) · Genes & Development · doi:10.1101/gad.2018811 · Cited by 152
Fu, D.-X., Kuo, Y.-L., Liu, B.-Y., Jeang, K.-T., & Giam, C.-Z. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m210631200 · Cited by 95
Kolesnichenko, M., Mikuda, N., Höpken, U. E., Kärgel, E., Uyar, B., Tufan, A. B., Milanovic, M., Sun, W., Krahn, I., Schleich, K., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2019104296 · Cited by 81
NF-κB and STAT3 signaling hubs for lung innate immunity
Quinton, L. J., & Mizgerd, J. P. (2011) · Cell and Tissue Research · doi:10.1007/s00441-010-1044-y · Cited by 65
Metadata
- Authors
- Beg, A. A., Sha, W. C., Bronson, R. T., & Baltimore, D.
- Venue
- Genes & Development
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1995-11-15
- Volume
- 9
- Issue
- 22
- Pages
- 2736-2746
- ISSN
- 0890-9369 (ISSN-L)
- 1549-5477
- OpenAlex
- W2002674047
- Cited by
- 473
- References
- 3
- Type
- posted content
- Language
- en
- Open access
- diamond
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.
