Neighborhood Impact Factor to Study Cell-Fate Decision-Making in Cellular Communities.

Shaylina R Carter, Joshua Hislop, Joshua Hsu, Jeremy J Velazquez, Mo R Ebrahimkhani
Author Information
  1. Shaylina R Carter: School of Biological and Health Systems Engineering, Fulton School of Engineering, Arizona State University, Tempe, AZ, USA.
  2. Joshua Hislop: Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  3. Joshua Hsu: School of Biological and Health Systems Engineering, Fulton School of Engineering, Arizona State University, Tempe, AZ, USA.
  4. Jeremy J Velazquez: School of Biological and Health Systems Engineering, Fulton School of Engineering, Arizona State University, Tempe, AZ, USA.
  5. Mo R Ebrahimkhani: Department of Bioengineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA. mo.ebr@pitt.edu.

Abstract

Cell-fate determination is a function of cell-intrinsic and -extrinsic signaling cues. Understanding the design principles governing fate control in multicellular systems remains difficult to understand and analyze. To address the current challenges of spatial analysis of potential signaling events, we have developed a pipeline for assessment of the neighboring cells at defined areas in the vicinity of target cells using a newly defined concept of Neighborhood Impact Factor. We have used our pipeline to interrogate cellular decision-making in a genetically derived multi-lineage liver organoid from induced pluripotent stem cells. We examined endothelial versus hepatocyte fate determination for cells with similar expression level of an engineered driver gene circuit. Our analysis suggests that the relative level of gene expression to the neighbor population can control the final fate choice in our engineered liver multicellular system.

Keywords

References

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Grants

  1. P30 DK120531/NIDDK NIH HHS
  2. R01 EB028532/NIBIB NIH HHS
  3. R01 HL141805/NHLBI NIH HHS
  4. T32 EB001026/NIBIB NIH HHS

MeSH Term

Animals
Cell Communication
Cell Culture Techniques
Cell Lineage
Cell Tracking
Cells, Cultured
Gene Expression Regulation, Developmental
Gene Regulatory Networks
Humans
Image Processing, Computer-Assisted
Induced Pluripotent Stem Cells
Microscopy, Fluorescence
Morphogenesis
Organoids
Signal Transduction
Software Design
Spheroids, Cellular
Stem Cell Niche

Word Cloud

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