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Defined Physicochemical Cues Steering Direct Neuronal Reprogramming on Colloidal Self-Assembled Patterns (cSAPs).

Javad Harati1,2,3,4, Kun Liu3, Hosein Shahsavarani1,2,5

  • 1Lab Regenerative Medicine and Biomedical Innovations, Pasteur Institute of Iran, Tehran1316943551, Iran.

ACS Nano
|December 30, 2022
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Summary
This summary is machine-generated.

Scientists used custom patterns to improve direct neuronal reprogramming of human fibroblasts into induced neurons (iNs). This approach enhances efficiency and controls neuron subtype ratios, offering new possibilities for cell transdifferentiation.

Keywords:
biophysical cuesepigenetic statusinduced neuronsneuron subtypestransdifferentiation

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Area of Science:

  • Cell Biology
  • Biomaterials Science
  • Neuroscience

Background:

  • Direct neuronal reprogramming offers a promising route to generate neuron cells.
  • The in vitro microenvironment's biophysical cues significantly influence cell fate decisions.

Purpose of the Study:

  • To investigate the impact of colloidal self-assembled patterns (cSAPs) on induced neuron (iN) generation from human fibroblasts.
  • To explore how cSAPs modulate neuronal reprogramming efficiency and subtype specification.

Main Methods:

  • Utilized small molecules for direct reprogramming of human fibroblasts into iNs.
  • Employed customized colloidal self-assembled patterns (cSAPs) with hexagonal-close-packed (hcp) geometry as the artificial matrix.
  • Analyzed cell morphology, cell adhesion markers (SDC1, ITGAV), signaling pathways (Hippo, Wnt), and chromatin remodeling.

Main Results:

  • cSAPs significantly improved neuronal reprogramming efficiency compared to control substrates.
  • The cSAP, with its specific hcp geometry, steered the ratio of induced neuron subtypes.
  • Cells on cSAPs showed distinct morphology, upregulated adhesion markers, enriched signaling pathways, and altered chromatin structure.
  • Induced neuron subtype specification was found to be surface-dependent, with each cSAP offering exclusive physicochemical cues.

Conclusions:

  • Direct cell reprogramming can be effectively manipulated by specific biophysical cues presented by artificial matrices like cSAPs.
  • This study highlights the potential of engineered biomaterials in controlling cell transdifferentiation and lineage conversion.
  • Findings provide a foundation for designing advanced biomaterials to guide specific cell fate outcomes in regenerative medicine and research.