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Cited by 295

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Cytoskeleton-based forecasting of stem cell lineage fates

Open access
Treiser, Matthew D., Yang, Eric H., Gordonov, Simon, Cohen, Daniel M., Androulakis, Ioannis P., Kohn, Joachim, Chen, Christopher S., Moghe, Prabhas V.·2010·Proceedings of the National Academy of Sciences

Abstract

Stem cells that adopt distinct lineages cannot be distinguished based on traditional cell shape. This study reports that higher-order variations in cell shape and cytoskeletal organization that occur within hours of stimulation forecast the lineage commitment fates of human mesenchymal stem cells (hMSCs). The unique approach captures numerous early (24 h), quantitative features of actin fluororeporter shapes, intensities, textures, and spatial distributions (collectively termed morphometric descriptors). The large number of descriptors are reduced into “combinations” through which distinct subpopulations of cells featuring unique combinations are identified. We demonstrate that hMSCs cultured on fibronectin-treated glass substrates under environments permissive to bone lineage induction could be readily discerned within the first 24 h from those cultured in basal- or fat-inductive conditions by such cytoskeletal feature groupings. We extend the utility of this approach to forecast osteogenic stem cell lineage fates across a series of synthetic polymeric materials of diverse physicochemical properties. Within the first 24 h following stem cell seeding, we could successfully “profile” the substrate responsiveness prospectively in terms of the degree of bone versus nonbone predisposition. The morphometric methodology also provided insights into how substrates may modulate the pace of osteogenic lineage specification. Cells on glass substrates deficient in fibronectin showed a similar divergence of lineage fates, but delayed beyond 48 h. In summary, this high-content imaging and single cell modeling approach offers a framework to elucidate and manipulate determinants of stem cell behaviors, as well as to screen stem cell lineage modulating materials and environments.

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Metadata

Authors
Treiser, M. D., Yang, E. H., Gordonov, S., Cohen, D. M., Androulakis, I. P., Kohn, J., Chen, C. S., & Moghe, P. V.
Venue
Proceedings of the National Academy of Sciences
Published
2009-12-18
Volume
107
Issue
2
Pages
610-615
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2050794411
Cited by
295
References
28
FWCI
7.14
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Cytoskeleton-based forecasting of stem cell lineage fates. https://app.cochat.ai/papers/10.1073/pnas.0909597107
The paper
Treiser, M. D., Yang, E. H., Gordonov, S., Cohen, D. M., Androulakis, I. P., Kohn, J., Chen, C. S., & Moghe, P. V. (2010). Cytoskeleton-based forecasting of stem cell lineage fates. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0909597107

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