Dataset Information

Large chromosome deletions, duplications, and gene conversion events accumulate with age in normal human colon crypts.

ABSTRACT: Little is known about the types and numbers of mutations that may accumulate in normal human cells with age. Such information would require obtaining enough DNA from a single cell to accurately carry out reliable analysis despite extensive amplification; and complete genomic coverage under these circumstances is difficult. We have compared colon crypts, which are putatively clonal and contain ~2000 cells each, to determine how much somatic genetic variation occurs in vivo (without ex vivo cell culturing). Using high-density SNP microarrays, we find that chromosome deletions, duplications, and gene conversions were significantly more frequent in colons from the older individuals. These changes affected lengths ranging from 73 kb to 46 Mb. Although detection requires progeny of a single mutant stem cell to reach niche dominance over neighboring stem cells, none of the deletions appear likely to confer a selective advantage. Mutations can become fixed randomly during stem cell evolution through neutral drift in normal human crypts. The fact that chromosomal changes are detected in individual crypts with increasing age suggests that either such changes accumulate with age or single stem cell dominance increases with age, and the former is more likely. This progressive genome-wide divergence of human somatic cells with age has implications for aging and disease in multicellular organisms.

SUBMITTER: Hsieh JC

PROVIDER: S-EPMC5706647 | biostudies-literature | 2013 Apr

REPOSITORIES: biostudies-literature

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Large chromosome deletions, duplications, and gene conversion events accumulate with age in normal human colon crypts.

Hsieh John C F JC Van Den Berg David D Kang Haeyoun H Hsieh Chih-Lin CL Lieber Michael R MR

Aging cell 20130311 2

Little is known about the types and numbers of mutations that may accumulate in normal human cells with age. Such information would require obtaining enough DNA from a single cell to accurately carry out reliable analysis despite extensive amplification; and complete genomic coverage under these circumstances is difficult. We have compared colon crypts, which are putatively clonal and contain ~2000 cells each, to determine how much somatic genetic variation occurs in vivo (without ex vivo cell c ...[more]

PMID: 23425690

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Project description:BACKGROUND: Normal colon crypts consist of stem cells, proliferating cells, and differentiated cells. Abnormal rates of proliferation and differentiation can initiate colon cancer. We have measured the variation in the number of each of these cell types in multiple crypts in normal human biopsy specimens. This has provided the opportunity to produce a calibrated computational model that simulates cell dynamics in normal human crypts, and by changing model parameter values, to simulate the initiation and treatment of colon cancer. RESULTS: An agent-based model of stochastic cell dynamics in human colon crypts was developed in the multi-platform open-source application NetLogo. It was assumed that each cell's probability of proliferation and probability of death is determined by its position in two gradients along the crypt axis, a divide gradient and in a die gradient. A cell's type is not intrinsic, but rather is determined by its position in the divide gradient. Cell types are dynamic, plastic, and inter-convertible. Parameter values were determined for the shape of each of the gradients, and for a cell's response to the gradients. This was done by parameter sweeps that indicated the values that reproduced the measured number and variation of each cell type, and produced quasi-stationary stochastic dynamics. The behavior of the model was verified by its ability to reproduce the experimentally observed monocolonal conversion by neutral drift, the formation of adenomas resulting from mutations either at the top or bottom of the crypt, and by the robust ability of crypts to recover from perturbation by cytotoxic agents. One use of the virtual crypt model was demonstrated by evaluating different cancer chemotherapy and radiation scheduling protocols. CONCLUSIONS: A virtual crypt has been developed that simulates the quasi-stationary stochastic cell dynamics of normal human colon crypts. It is unique in that it has been calibrated with measurements of human biopsy specimens, and it can simulate the variation of cell types in addition to the average number of each cell type. The utility of the model was demonstrated with in silico experiments that evaluated cancer therapy protocols. The model is available for others to conduct additional experiments.

Dataset Information

Large chromosome deletions, duplications, and gene conversion events accumulate with age in normal human colon crypts.

Publications

Large chromosome deletions, duplications, and gene conversion events accumulate with age in normal human colon crypts.

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