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Updated: Jun 21, 2026

Isolation and Immortalization of Patient-derived Cell Lines from Muscle Biopsy for Disease Modeling
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Expression differences by continent of origin point to the immortalization process.

Adam R Davis1, Isaac S Kohane

  • 1i2b2 National Center for Biomedical Computing, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. ardavis@partners.org

Human Molecular Genetics
|July 25, 2009
PubMed
Summary

Gene expression differences between European and African ancestral populations were observed, linked to cell immortalization processes and viral factors. These findings highlight the impact of continental ancestry on gene expression signatures.

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Area of Science:

  • Genomics
  • Population Genetics
  • Molecular Biology

Background:

  • Microarray data from HapMap project cell lines showed inconsistent gene expression comparisons across different ancestral continents of origin (ACOO).
  • Previous analyses struggled to reconcile gene expression differences with population ancestry, necessitating a new approach.

Purpose of the Study:

  • To develop a novel method for identifying population-specific gene expression signatures in European (CEU) and African (YRI) ancestral cohorts.
  • To investigate gene networks involved in lymphoblast immortalization and their association with ACOO.

Main Methods:

  • Applied a novel approach to analyze four independent microarray datasets from CEU and YRI HapMap samples.
  • Focused on differential gene expression patterns related to cell immortalization.
  • Correlated gene expression differences with viral titer and examined expression quantitative trait loci (eQTL).

Main Results:

  • Identified differential expression of gene networks, including Werner syndrome helicase genes, between CEU and YRI cohorts.
  • Observed correlations between these expression differences, viral titer, and ACOO.
  • Constructed an ACOO-specific 'immortalization network' of 40 genes based on the 14 most differentially expressed genes, with one showing significant eQTL correlation.

Conclusions:

  • Gene expression patterns, particularly in immortalization networks, differ significantly across ancestral continents of origin.
  • These differences may be influenced by the cell immortalization process itself or reflect genuine ACOO-specific biological variations.
  • Further research is needed to disentangle the contributions of methodology versus intrinsic biological differences.