The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Investigating stem cells in human colon by using methylation patterns
Open accessAbstract
The stem cells that maintain human colon crypts are poorly characterized. To better determine stem cell numbers and how they divide, epigenetic patterns were used as cell fate markers. Methylation exhibits somatic inheritance and random changes that potentially record lifelong stem cell division histories as binary strings or tags in adjacent CpG sites. Methylation tag contents of individual crypts were sampled with bisulfite sequencing at three presumably neutral loci. Methylation increased with aging but varied between crypts and was mosaic within single crypts. Some crypts appeared to be quasi-clonal as they contained more unique tags than expected if crypts were maintained by single immortal stem cells. The complex epigenetic patterns were more consistent with a crypt niche model wherein multiple stem cells were present and replaced through periodic symmetric divisions. Methylation tags provide evidence that normal human crypts are long-lived, accumulate random methylation errors, and contain multiple stem cells that go through “bottlenecks” during life.
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
Nowell, P. C. (1976) · Science · doi:10.1126/science.959840 · Cited by 6,471
CpG island methylator phenotype in colorectal cancer
Toyota, M., Ahuja, N., Ohe-Toyota, M., Herman, J. G., Baylin, S. B., & Issa, J.-P. J. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.15.8681 · Cited by 2,523
Holliday, R., & Pugh, J. E. (1975) · Science · doi:10.1126/science.187.4173.226 · Cited by 1,972
High sensitivity mapping of methylated cytosines
Susan, J. C., Harrison, J., Paul, C. L., & Frommer, M. (1994) · Nucleic Acids Research · doi:10.1093/nar/22.15.2990 · Cited by 1,862
Methylation-Induced Repression— Belts, Braces, and Chromatin
Bird, A. P., & Wolffe, A. P. (1999) · Cell · doi:10.1016/s0092-8674(00)81532-9 · Cited by 1,827
Stem cells: attributes, cycles, spirals, pitfalls and uncertainties. Lessons for and from the crypt
Potten, C. S., & Loeffler, M. (1990) · Development · doi:10.1242/dev.110.4.1001 · Cited by 1,791
Mutation selection and the natural history of cancer
Cairns, J. (1975) · Nature · doi:10.1038/255197a0 · Cited by 1,582
(1991) · PubMed · Cited by 1,305
A Niche Maintaining Germ Line Stem Cells in the Drosophila Ovary
Xie, T., & Spradling, A. C. (2000) · Science · doi:10.1126/science.290.5490.328 · Cited by 777
Suppression of intestinal neoplasia by DNA hypomethylation
Laird, P. W., Jackson-Grusby, L., Fazeli, A., Dickinson, S. L., Edward Jung, W., Li, E., Weinberg, R. A., & Jaenisch, R. (1995) · Cell · doi:10.1016/0092-8674(95)90329-1 · Cited by 710
Cited by
Intratumor heterogeneity in human glioblastoma reflects cancer evolutionary dynamics
Sottoriva, A., Spiteri, I., Piccirillo, S. G. M., Touloumis, A., Collins, V. P., Marioni, J. C., Curtis, C., Watts, C., & Tavaré, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219747110 · Cited by 1,737
Self-citationSingle-cell sequencing-based technologies will revolutionize whole-organism science
Shapiro, E., Biezuner, T., & Linnarsson, S. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3542 · Cited by 1,177
Huang, E. H., Hynes, M. J., Zhang, T., Ginestier, C., Dontu, G., Appelman, H., Fields, J. Z., Wicha, M. S., & Boman, B. M. (2009) · Cancer Research · doi:10.1158/0008-5472.can-08-4418 · Cited by 1,045
A Big Bang model of human colorectal tumor growth
Sottoriva, A., Kang, H., Ma, Z., Graham, T. A., Salomon, M. P., Zhao, J., Marjoram, P., Siegmund, K., Press, M. F., Shibata, D., et al. (2015) · Nature Genetics · doi:10.1038/ng.3214 · Cited by 1,015
Self-citationCancer Epigenetics: Tumor Heterogeneity, Plasticity of Stem-like States, and Drug Resistance
Easwaran, H., Tsai, H.-C., & Baylin, S. B. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.05.015 · Cited by 915
Metadata
- Authors
- Yatabe, Y., Tavaré, S., & Shibata, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2001-08-21
- Volume
- 98
- Issue
- 19
- Pages
- 10839-10844
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1965766641
- Cited by
- 368
- References
- 31
- FWCI
- 4.99
- 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: Investigating stem cells in human colon by using methylation patterns. https://app.cochat.ai/papers/10.1073/pnas.191225998
- The paper
- Yatabe, Y., Tavaré, S., & Shibata, D. (2001). Investigating stem cells in human colon by using methylation patterns. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.191225998
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.