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Related Concept Videos

Methods of Nuclear Reprogramming01:24

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Nuclear reprogramming is a process of transforming one cell type into an unrelated cell type by epigenetic changes that alter the cell’s original gene expression pattern. Such epigenetic changes force cells to express a different set of genes, which play a significant role in inducing transformation into other cell types. Nuclear reprogramming offers applications in reproductive cloning for livestock propagation and regenerative medicine — developing patient-specific cells for...
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Nuclear reprogramming is the process of switching gene expression of one cell type to that of another cell type, usually from a differentiated cell state to an undifferentiated cell state. Differentiation occurs during processes such as development and morphogenesis, tissue regeneration, and malignancy. Cells can also be artificially induced to reprogram their gene expression by techniques such as nuclear transfer, induced pluripotency, and cell fusion. Such techniques have many applications in...
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Hemogenic Reprogramming of Human Fibroblasts by Enforced Expression of Transcription Factors
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Identifying Transient Cells During Reprogramming via Persistent Homology.

Aydolun Petenkaya, Farid Manuchehrfar, Constantinos Chronis

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    Summary
    This summary is machine-generated.

    This study introduces a novel method using persistent homology to identify transient cells bridging cellular phenotypes. The approach successfully uncovered NANOG-enriched cells during fibroblast reprogramming, highlighting its utility in understanding cellular transitions.

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    Area of Science:

    • * Computational Biology
    • * Developmental Biology
    • * Bioinformatics

    Background:

    • * Single-cell RNA sequencing (scRNA-seq) reveals cellular heterogeneity and regulatory mechanisms.
    • * Identifying cells in transition states is crucial for understanding dynamic biological processes.
    • * Existing methods may not effectively capture these transient cell populations.

    Purpose of the Study:

    • * To develop a novel computational method for identifying cells in transition states between distinct cellular phenotypes.
    • * To apply this method to single-cell time-course data of human fibroblast reprogramming.
    • * To characterize the molecular markers of identified transient cells.

    Main Methods:

    • * Application of persistent homology to analyze scRNA-seq data.
    • * Topological data analysis to identify cells on the boundaries of cell sub-populations.
    • * Analysis of early-stage reprogramming data from human fibroblasts to induced pluripotent stem cells.

    Main Results:

    • * Successfully identified a group of transient cells bridging different cell sub-populations.
    • * These transient cells were found to be enriched for NANOG, a key pluripotency factor.
    • * The method demonstrated the ability to detect small fractions of transient cells within a larger population.

    Conclusions:

    • * The developed persistent homology-based method effectively identifies cells in transient states.
    • * This approach aids in understanding the dynamics of cellular reprogramming and other developmental processes.
    • * The method offers a new way to analyze the topology of cellular transcriptomes and uncover temporal processes.