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Cell population balance models are used to address the implications of heterogeneity and can accurately capture the dynamics of heterogeneous cell populations.
Current differentiation strategies typically generate heterogeneous cell populations unsuitable for basic research or clinical applications.
Establishment of ONCs depends on competition and cooperation between heterogeneous cell populations.
This approach has the potential to conduct systematic studies of cell spreading, deformation, differentiation, biochemical and genetic profiling of heterogeneous cell populations.
Challenges for the future include following the dynamic changes in the regulatory landscape during specific developmental pathways, and understanding chromatin structure in tissues containing heterogeneous cell populations.
Gerby, B. et al. Expression of CD34 and CD7 on human T-cell acute lymphoblastic leukemia discriminates functionally heterogeneous cell populations.
The benefits of heterogeneous cell populations (including hematopoietic stem cells, endothelial progenitor cells, platelets and so on) and limitations of allogeneic MSCs require further preclinical and clinical investigation.
However, single gene-driven recombinase lines mark relatively broad and heterogeneous cell populations.
The study of induced pluripotency is complicated by the need for infection with high-titer retroviral vectors, which results in genetically heterogeneous cell populations.
A Monte Carlo algorithm, which can accurately simulate the dynamics of entire heterogeneous cell populations, was developed.
Stromal vascular fractions (SVF) from adipose tissue have heterogeneous cell populations, and include multipotent adipose-derived stem cells.
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