The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Stimulation of the Stress-Activated Mitogen-Activated Protein Kinase Subfamilies in Perfused Heart: p38/RK Mitogen-Activated Protein Kinases and c-Jun N-Terminal Kinases Are Activated by Ischemia/Reperfusion
Abstract
It has recently been recognized that cellular stresses activate certain members of the mitogen-activated protein kinase (MAPK) superfamily. One role of these “stress-activated” MAPKs is to increase the transactivating activity of the transcription factors c-Jun, Elk1, and ATF2. These findings may be particularly relevant to hearts that have been exposed to pathological stresses. Using the isolated perfused rat heart, we show that global ischemia does not activate the 42- and 44-kD extracellular signal–regulated (protein) kinase (ERK) subfamily of MAPKs but rather stimulates a 38-kD activator of MAPK-activated protein kinase-2 (MAPKAPK2). This activation is maintained during reperfusion. The molecular characteristics of this protein kinase suggest that it is a member of the p38/reactivating kinase (RK) group of stress-activated MAPKs. In contrast, stress-activated MAPKs of the c-Jun N-terminal kinase (JNK/SAPKs) subfamily are not activated by ischemia alone but are activated by reperfusion following ischemia. Furthermore, transfection of ventricular myocytes with activated protein kinases (MEKK1 and SEK1) that may be involved in the upstream activation of JNK/SAPKs induces increases in myocyte size and transcriptional changes typical of the hypertrophic response. We speculate that activation of multiple parallel MAPK pathways may be important in the responses of hearts to cellular stresses.
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
Bradford, M. M. (1976) · Analytical Biochemistry · doi:10.1016/0003-2697(76)90527-3 · Cited by 255,302
Hibi, M., Lin, A., Smeal, T., Minden, A., & Karin, M. (1993) · Genes & Development · doi:10.1101/gad.7.11.2135 · Cited by 1,886
Kallunki, T., Su, B., Tsigelny, I., Sluss, H. K., Dérijard, B., Moore, G., Davis, R., & Karin, M. (1994) · Genes & Development · doi:10.1101/gad.8.24.2996 · Cited by 642
Cited by
Preconditioning the myocardium: from cellular physiology to clinical cardiology
YELLON, D. M., & DOWNEY, J. M. (2003) · Physiological Reviews · doi:10.1152/physrev.00009.2003 · Cited by 1,062
p38 Mitogen-activated Protein Kinase Activates Peroxisome Proliferator-activated Receptor α
Barger, P. M., Browning, A. C., Garner, A. N., & Kelly, D. P. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m105945200 · Cited by 260
Autophagy in disease: a double-edged sword with therapeutic potential
Martinet, W., Agostinis, P., Vanhoecke, B., Dewaele, M., & de Meyer, G. R. Y. (2009) · Clinical Science · doi:10.1042/cs20080508 · Cited by 186
Khandoudi, N., Delerive, P., Berrebi-Bertrand, I., Buckingham, R. E., Staels, B., & Bril, A. (2002) · Diabetes · doi:10.2337/diabetes.51.5.1507 · Cited by 174
Regulation of Hypoxia-Inducible Genes by PGC-1α
Shoag, J., & Arany, Z. (2010) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.108.181636 · Cited by 96
Metadata
- Authors
- Bogoyevitch, M. A., Gillespie-Brown, J., Ketterman, A. J., Fuller, S. J., Ben-Levy, R., Ashworth, A., Marshall, C. J., & Sugden, P. H.
- Venue
- Circulation Research
- Published
- 1996-08
- Volume
- 79
- Issue
- 2
- Pages
- 162-173
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2166527628
- Cited by
- 525
- References
- 3
- FWCI
- 28.99
- Type
- journal article
- Language
- en
- Open access
- closed
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.