Literature DB >> 18410448

Inferring relative numbers of human leucocyte genome replications.

Michelle Chu1, Kimberly D Siegmund, Qian-Lin Hao, Gay M Crooks, Simon Tavaré, Darryl Shibata.   

Abstract

Genome duplication inevitably results in replication errors. A priori, the more times a genome is copied, the greater the average number of replication errors. This principle could be used to 'count' mitotic divisions. Although somatic mutations are rare, cytosine methylation is also copied after DNA replication, but measurably increases with aging at certain CpG rich sequences in mitotic tissues, such as the colon. To further test whether such age-related methylation represents replication errors, these CpG rich 'clock' sequences were measured in leucocytes. Leucocytes within an individual have identical chronological ages (time since birth) but their mitotic ages (numbers of divisions since the zygote) may differ. Neutrophils, B-lymphocytes, and red cell progenitors are produced from relatively quiescent stem cells throughout life, but T-lymphocyte production largely ceases after puberty when the thymus disappears. However, T-lymphocyte genomes may continue to replicate throughout life in response to immunological stimulation. Consistent with this biology, clock methylation significantly increased with aging for T-lymphocyte genomes, but no significant increase was measured in other cell populations. Moreover, this methylation was greater in genomes isolated from their corresponding neoplastic populations. These studies tentatively support the hypothesis that methylation at certain CpG rich sequences in leucocytes could record their mitotic ages.

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Year:  2008        PMID: 18410448     DOI: 10.1111/j.1365-2141.2008.07142.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  12 in total

1.  Interindividual variability and co-regulation of DNA methylation differ among blood cell populations.

Authors:  Monique Jacoby; Sandra Gohrbandt; Victor Clausse; Nicolaas H Brons; Claude P Muller
Journal:  Epigenetics       Date:  2012-11-14       Impact factor: 4.528

2.  Comparison of the DNA methylation profiles of human peripheral blood cells and transformed B-lymphocytes.

Authors:  Yan V Sun; Stephen T Turner; Jennifer A Smith; Pamela I Hammond; Alicia Lazarus; Jodie L Van De Rostyne; Julie M Cunningham; Sharon L R Kardia
Journal:  Hum Genet       Date:  2010-03-18       Impact factor: 4.132

Review 3.  Inferring human stem cell behaviour from epigenetic drift.

Authors:  D Shibata
Journal:  J Pathol       Date:  2009-01       Impact factor: 7.996

4.  Older individuals appear to acquire mitotically older colorectal cancers.

Authors:  Yen-Jung Woo; Kimberly D Siegmund; Simon Tavaré; Darryl Shibata
Journal:  J Pathol       Date:  2009-03       Impact factor: 7.996

Review 5.  Lineage tracing in human tissues.

Authors:  Calum Gabbutt; Nicholas A Wright; Ann-Marie Baker; Darryl Shibata; Trevor A Graham
Journal:  J Pathol       Date:  2022-05-05       Impact factor: 9.883

6.  Intra-individual changes in DNA methylation not mediated by cell-type composition are correlated with aging during childhood.

Authors:  Kristina Gervin; Bettina Kulle Andreassen; Hanne Sagsveen Hjorthaug; Karin C Lødrup Carlsen; Kai-Håkon Carlsen; Dag Erik Undlien; Robert Lyle; Monica Cheng Munthe-Kaas
Journal:  Clin Epigenetics       Date:  2016-10-21       Impact factor: 6.551

7.  DNA methylation arrays as surrogate measures of cell mixture distribution.

Authors:  Eugene Andres Houseman; William P Accomando; Devin C Koestler; Brock C Christensen; Carmen J Marsit; Heather H Nelson; John K Wiencke; Karl T Kelsey
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

8.  Epigenome-wide association study reveals decreased average methylation levels years before breast cancer diagnosis.

Authors:  Karin van Veldhoven; Silvia Polidoro; James M Flanagan; Paolo Vineis; Laura Baglietto; Gianluca Severi; Carlotta Sacerdote; Salvatore Panico; Amalia Mattiello; Domenico Palli; Giovanna Masala; Vittorio Krogh; Claudia Agnoli; Rosario Tumino; Graziella Frasca; Kirsty Flower; Ed Curry; Nicholas Orr; Katarzyna Tomczyk; Michael E Jones; Alan Ashworth; Anthony Swerdlow; Marc Chadeau-Hyam; Eiliv Lund; Montserrat Garcia-Closas; Torkjel M Sandanger
Journal:  Clin Epigenetics       Date:  2015-08-04       Impact factor: 6.551

9.  Accounting for cellular heterogeneity is critical in epigenome-wide association studies.

Authors:  Andrew E Jaffe; Rafael A Irizarry
Journal:  Genome Biol       Date:  2014-02-04       Impact factor: 13.583

10.  Blood-based biomarkers of age-associated epigenetic changes in human islets associate with insulin secretion and diabetes.

Authors:  Karl Bacos; Linn Gillberg; Petr Volkov; Anders H Olsson; Torben Hansen; Oluf Pedersen; Anette Prior Gjesing; Hans Eiberg; Tiinamaija Tuomi; Peter Almgren; Leif Groop; Lena Eliasson; Allan Vaag; Tasnim Dayeh; Charlotte Ling
Journal:  Nat Commun       Date:  2016-03-31       Impact factor: 14.919

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