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Related Concept Videos

Gene Conversion02:08

Gene Conversion

Other than maintaining genome stability via DNA repair, homologous recombination plays an important role in diversifying the genome. In fact, the recombination of sequences forms the molecular basis of genomic evolution. Random and non-random permutations of genomic sequences create a library of new amalgamated sequences. These newly formed genomes can determine the fitness and survival of cells. In bacteria, homologous and non-homologous types of recombination lead to the evolution of new...
Combinatorial Gene Control02:33

Combinatorial Gene Control

Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
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Genome Copying Errors

DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger theirĀ  survival. Therefore, the copying errors are checked and repaired at three levels.
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The process of chromosome duplication during cell division requires genome-wide disruption and re-assembly of chromatin. The chromatin structure must be accurately inherited, reassembled, and maintained in the daughter cells to ensure lineage propagation.
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Mapping Gene Impact on Single-cell Transcriptomic Networks via Perturbation Response Scanning.

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    We developed a new metric, the single-cell Perturbation Impact Index (scPII), to identify key genes for disruption. scPII effectively predicts gene knockout effects and aids in understanding cellular responses to perturbations.

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    Area of Science:

    • Systems Biology
    • Genomics
    • Bioinformatics

    Background:

    • CRISPR technology has advanced gene function studies through targeted gene disruption.
    • Single-cell CRISPR screening reveals how gene perturbations alter cellular states.
    • Identifying key genes is challenging due to complex gene network interactions and nonlinear dependencies.

    Purpose of the Study:

    • To develop a novel method for identifying genes whose perturbation has the most significant system-wide impact.
    • To quantify gene knockout effects by evaluating system-level responses to perturbations.
    • To assess the disruption of global information flow and cellular robustness.

    Main Methods:

    • Adapted a perturbation-response framework from protein dynamics for gene regulatory networks.
    • Introduced the single-cell Perturbation Impact Index (scPII), a data-driven metric.
    • Calculated scPII using gene regulatory networks, independent of CRISPR screening data.

    Main Results:

    • scPII effectively identifies genes with the greatest system-wide impact upon perturbation.
    • A strong correlation was observed between scPII scores and CRISPR screen gene effect scores.
    • The metric accurately quantifies gene knockout effects in biological systems.

    Conclusions:

    • scPII offers a robust, data-driven approach to predict gene knockout impact.
    • Integrating perturbation response scanning with gene regulatory networks enhances single-cell data analysis.
    • This framework advances biomedical research by improving the understanding of gene function and cellular dynamics.