Evidence map›Paper›PMID 17335343›Full record

ArticlePLoS computational biology2007

The stem cell population of the human colon crypt: analysis via methylation patterns.

Pierre Nicolas, Kyoung-Mee Kim, Darryl Shibata, Simon Tavaré

Abstract read
In one paragraph

Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

  1. Article
  2. Resolving tumor evolution: a phylogenetic approach.Journal of the National Cancer Center · 2024
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  3. Article
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  7. Lineage tracing in human tissues.The Journal of pathology · 2022
    Review
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  9. Article
  10. Article
  11. Article
  12. A compartment size-dependent selective threshold limits mutation accumulation in hierarchical tissues.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  13. Article
  14. Spatial Patterning from an Integrated Wnt/β-catenin and Notch/Delta Gene Circuit.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018
    Article
  15. Article
  16. PhyloOncology: Understanding cancer through phylogenetic analysis.Biochimica et biophysica acta. Reviews on cancer · 2017
    Review
  17. A population genetics perspective on the determinants of intra-tumor heterogeneity.Biochimica et biophysica acta. Reviews on cancer · 2017
    Review
  18. Article
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pierre NicolasUnité Mathématique Informatique et Génome UR1077, Institut National de la Recherche Agronomique, Jouy-en-Josas, France. pierre.nicolas@jouy.inra.fr
Kyoung-Mee Kim
Darryl Shibata
Simon Tavaré

Funding

Implications of haplotype structure in the human genomeP50HG002790 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TAVARE, SIMON · 2003 to 2013
$29.9M
How Do Colorectal Cancers Arise Despite Surveillance?R33CA111940 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHIBATA, DARRYL K · 2005 to 2007
$781k
NCI NIH HHS R33 CA111940NHGRI NIH HHS P50 HG002790NHGRI NIH HHS P50 HG02790
6 · The paper itself

Abstract

The analysis of methylation patterns is a promising approach to investigate the genealogy of cell populations in an organism. In a stem cell-niche scenario, sampled methylation patterns are the stochastic outcome of a complex interplay between niche structural features such as the number of stem cells within a niche and the niche succession time, the methylation/demethylation process, and the randomness due to sampling. As a consequence, methylation pattern studies can reveal niche characteristics but also require appropriate statistical methods. The analysis of methylation patterns sampled from colon crypts is a prototype of such a study. Previous analyses were based on forward simulation of the cell content of the whole crypt and subsequent comparisons between simulated and experimental data using a few statistics as a proxy to summarize the data. In this paper we develop a more powerful method to analyze these data based on coalescent modelling and Bayesian inference. Results support a scenario where the colon crypt is maintained by a high number of stem cells; the posterior indicates a number greater than eight and the posterior mode is between 15 and 20. The results also provide further evidence for synergistic effects in the methylation/demethylation process that could for the first time be quantitatively assessed through their long-term consequences such as the coexistence of hypermethylated and hypomethylated patterns in the same colon crypt.

Indexed as

DNA MethylationBase SequenceCell CountColonCpG IslandsDNA Mutational AnalysisEvolution, MolecularHumansMolecular Sequence DataPolymorphism, Single NucleotideSequence Analysis, DNAStem Cells

Identifiers

PMID17335343
PMCPMC1808490

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.