Modeling Human Bone Marrow Failure Syndromes Using Pluripotent Stem Cells and Genome Engineering

Mol Ther. 2015 Dec;23(12):1832-42. doi: 10.1038/mt.2015.180. Epub 2015 Oct 5.

Abstract

The combination of epigenetic reprogramming with advanced genome editing technologies opened a new avenue to study disease mechanisms, particularly of disorders with depleted target tissue. Bone marrow failure syndromes (BMFS) typically present with a marked reduction of peripheral blood cells due to a destroyed or dysfunctional bone marrow compartment. Somatic and germline mutations have been etiologically linked to many cases of BMFS. However, without the ability to study primary patient material, the exact pathogenesis for many entities remained fragmentary. Capturing the pathological genotype in induced pluripotent stem cells (iPSCs) allows studying potential developmental defects leading to a particular phenotype. The lack of hematopoietic stem and progenitor cells in these patients can also be overcome by differentiating patient-derived iPSCs into hematopoietic lineages. With fast growing genome editing techniques, such as CRISPR/Cas9, correction of disease-causing mutations in iPSCs or introduction of mutations in cells from healthy individuals enable comparative studies that may identify other genetic or epigenetic events contributing to a specific disease phenotype. In this review, we present recent progresses in disease modeling of inherited and acquired BMFS using reprogramming and genome editing techniques. We also discuss the challenges and potential shortcomings of iPSC-based models for hematological diseases.

Publication types

  • Research Support, N.I.H., Intramural
  • Review

MeSH terms

  • Anemia, Aplastic
  • Animals
  • Bone Marrow Diseases
  • Bone Marrow Failure Disorders
  • Disease Models, Animal
  • Epigenesis, Genetic
  • Genetic Engineering / methods*
  • Genetic Therapy
  • Hemoglobinuria, Paroxysmal / genetics
  • Hemoglobinuria, Paroxysmal / therapy*
  • Humans
  • Induced Pluripotent Stem Cells / cytology*