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Proof of principle: quality control of therapeutic cell preparations using senescence-associated DNA-methylation changes. | LitMetric

Proof of principle: quality control of therapeutic cell preparations using senescence-associated DNA-methylation changes.

BMC Res Notes

Helmholtz-Institute for Biomedical Technology, Stem Cell Biology and Cellular Engineering, RWTH Aachen University Medical School, Pauwelsstrasse 20, 52074 Aachen, Germany.

Published: April 2014

AI Article Synopsis

  • The study investigates how mesenchymal stromal cells (MSCs) undergo changes during culture that affect their growth and differentiation, which is tied to cellular aging.
  • The researchers developed an Epigenetic-Senescence-Signature based on DNA methylation at six specific CpG sites, helping to predict the state of cellular aging in MSCs.
  • Results showed a good correlation between predicted and actual cellular aging parameters, indicating that this epigenetic analysis could serve as a useful quality control tool for therapeutic cell preparations.

Article Abstract

Background: Tracking of replicative senescence is of fundamental relevance in cellular therapy. Cell preparations - such as mesenchymal stromal cells (MSCs) - undergo continuous changes during culture expansion, which is reflected by impaired proliferation and loss of differentiation potential. This process is associated with epigenetic modifications: during in vitro culture, cells acquire senescence-associated DNA methylation (SA-DNAm) changes at specific sites in the genome. We have recently described an Epigenetic-Senescence-Signature that facilitates prediction of the state of cellular aging by analysis of DNAm at six CpG sites (associated with the genes GRM7, CASR, PRAMEF2, SELP, CASP14 and KRTAP13-3), but this has not yet been proven over subsequent passages and with MSCs isolated under good manufacturing practice (GMP) conditions.

Findings: MSCs were isolated from human bone marrow and GMP-conform expanded for up to 11 passages. Cumulative population doublings (cPDs) and long-term growth curves were calculated based on cell numbers at each passage. Furthermore, 32 cryopreserved aliquots of these cell preparations were retrospectively analyzed using our Epigenetic-Senescence-Signature: DNAm-level was analyzed at six specific CpGs, and the results were used to estimate cPDs, time of culture expansion, and passage numbers. Overall, predicted and real parameters revealed a good correlation, particularly in cPDs. Based on predicted cPDs we could reconstruct long-term growth curves and demonstrated the continuous increase in replicative senescence on molecular level.

Conclusion: Epigenetic analysis of specific CpG sites in the genome can be used to estimate the state of cellular aging for quality control of therapeutic cell products.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005405PMC
http://dx.doi.org/10.1186/1756-0500-7-254DOI Listing

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