The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
Expression of DNA methyltransferases DNMT1,3A, and 3B in normal hematopoiesis and in acute and chronic myelogenous leukemia
Open accessAbstract
Aberrant hypermethylation of tumor suppressor genes plays an important role in the development of many tumors. Recently identified new DNA methyltransferase (DNMT) genes, DNMT3Aand DNMT3B, code for de novo methyltransferases. To determine the roles of DNMT3A, DNMT3B, as well as DNMT1, in the development of leukemia, competitive polymerase chain reaction (PCR) assays were performed and the expression levels of DNMTs were measured in normal hematopoiesis, 33 cases of acute myelogenous leukemia (AML), and 17 cases of chronic myelogenous leukemia (CML). All genes were constitutively expressed, although at different levels, in T lymphocytes, monocytes, neutrophils, and normal bone marrow cells. Interestingly, DNMT3B was expressed at high levels in CD34+ bone marrow cells but down-regulated in differentiated cells. In AML, 5.3-, 4.4-, and 11.7-fold mean increases were seen in the levels of DNMT1, 3A, and3B, respectively, compared with the control bone marrow cells. Although CML cells in the chronic phase did not show significant changes, cells in the acute phase showed 3.2-, 4.5-, and 3.4-fold mean increases in the levels of DNMT1, 3A, and3B, respectively. Using methylation-specific PCR, it was observed that the p15INAK4B gene, a cell cycle regulator, was methylated in 24 of 33 (72%) cases of AML. Furthermore, AML cells with methylatedp15INAK4B tended to express higher levels ofDNMT1 and 3B. In conclusion, DNMTswere substantially overexpressed in leukemia cells in a leukemia type- and stage-specific manner. Up-regulated DNMTs may contribute to the pathogenesis of leukemia by inducing aberrant regional hypermethylation.
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
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
Single-step method of RNA isolation by acid guanidinium thiocyanate-phenol-chloroform extraction
Chomczynski, P., & Sacchi, N. (1987) · Analytical Biochemistry · doi:10.1016/0003-2697(87)90021-2 · Cited by 46,426
Okano, M., Bell, D. W., Haber, D. A., & Li, E. (1999) · Cell · doi:10.1016/s0092-8674(00)81656-6 · Cited by 6,143
Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands.
Herman, J. G., Graff, J. R., Myöhänen, S., Nelkin, B. D., & Baylin, S. B. (1996) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.93.18.9821 · Cited by 5,646
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
A new regulatory motif in cell-cycle control causing specific inhibition of cyclin D/CDK4.
Serrano, M., Hannon, G. J., & Beach, D. (1993) · Nature · doi:10.1038/366704a0 · Cited by 3,650
Cancer-epigenetics comes of age
Jones, P. A., & Laird, P. W. (1999) · Nature Genetics · doi:10.1038/5947 · Cited by 2,344
Incidence and functional consequences of hMLH1 promoter hypermethylation in colorectal carcinoma
Herman, J. G., Umar, A., Polyak, K., Graff, J. R., Ahuja, N., Issa, J.-P. J., Markowitz, S., Willson, J. K. V., Hamilton, S. R., Kinzler, K. W., et al. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.12.6870 · Cited by 1,887
Cloning and characterization of a family of novel mammalian DNA (cytosine-5) methyltransferases
Okano, M., Xie, S., & Li, E. (1998) · Nature Genetics · doi:10.1038/890 · Cited by 1,651
DNA hypermethylation in tumorigenesis: epigenetics joins genetics
Baylin, S. B., & Herman, J. G. (2000) · Trends in Genetics · doi:10.1016/s0168-9525(99)01971-x · Cited by 1,628
Cited by
Targeting epigenetic regulators for cancer therapy: mechanisms and advances in clinical trials
Cheng, Y., He, C., Wang, M., Ma, X., Mo, F., Yang, S., Han, J., & Wei, X. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0095-0 · Cited by 1,097
“These three methyltransferases do not show significant changes in the chronic phase of chronic myeloid leukemia (CML), but they are significantly increased during progression to the acute phase in CML.(52,53) Notably, downregulation of DNMTs can also lead to tumorigenesis (Table 1).”
BackgroundEpigenetics in health and disease
Zhang, L., Lu, Q., & Chang, C. (2020) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-15-3449-2_1 · Cited by 689
RAR and RXR modulation in cancer and metabolic disease
Altucci, L., Leibowitz, M. D., Ogilvie, K. M., de Lera, A. R., & Gronemeyer, H. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2397 · Cited by 517
Russler-Germain, D. A., Spencer, D. H., Young, M. A., Lamprecht, T. L., Miller, C. A., Fulton, R., Meyer, M. R., Erdmann-Gilmore, P., Townsend, R. R., Wilson, R. K., et al. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.02.010 · Cited by 452
DNA methyltransferases and their roles in tumorigenesis
Zhang, W., & Xu, J. (2017) · Biomarker Research · doi:10.1186/s40364-017-0081-z · Cited by 382
Metadata
- Authors
- Mizuno, S.-I., Chijiwa, T., Okamura, T., Akashi, K., Fukumaki, Y., Niho, Y., & Sasaki, H.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2001-03-01
- Volume
- 97
- Issue
- 5
- Pages
- 1172-1179
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2041690843
- Cited by
- 438
- References
- 52
- FWCI
- 7.98
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Expression of DNA methyltransferases DNMT1,3A, and 3B in normal hematopoiesis and in acute and chronic myelogenous leukemia. https://app.cochat.ai/papers/10.1182/blood.v97.5.1172
- The paper
- Mizuno, S.-I., Chijiwa, T., Okamura, T., Akashi, K., Fukumaki, Y., Niho, Y., & Sasaki, H. (2001). Expression of DNA methyltransferases DNMT1,3A, and 3B in normal hematopoiesis and in acute and chronic myelogenous leukemia. Blood. https://doi.org/10.1182/blood.v97.5.1172
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.