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Modern Molecular Taxonomy01:29

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Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
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Related Experiment Video

Updated: Dec 29, 2025

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
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Molecular Signatures for Microbe-Associated Colorectal Cancers.

Ibrahim M Sayed, Daniella T Vo, Joshua Alcantara

    Biorxiv : the Preprint Server for Biology
    |June 10, 2024
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    Summary
    This summary is machine-generated.

    This study identifies a Microbe-Associated Colorectal Cancer Signature (MACS) linked to early colorectal cancer (CRC) development. MACS, driven by Fusobacterium nucleatum, indicates increased CRC risk in genetically predisposed individuals.

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    Area of Science:

    • Oncology
    • Microbiology
    • Genetics

    Background:

    • Colorectal cancer (CRC) development involves genetic factors and microbial imbalances, but the role of infections in initiation is unclear.
    • Rising CRC incidence necessitates precise identification of early events, prompting investigation into microbial and host genetic influences.

    Purpose of the Study:

    • To construct a network model identifying continuum states during CRC initiation from normal tissue to pre-cancerous lesions.
    • To examine the influence of microbes and host genetics on early CRC events.
    • To identify a Microbe-Associated Colorectal Cancer Signature (MACS) and validate its role in CRC initiation.

    Main Methods:

    • A Boolean network model was developed using transcriptomic data from healthy and adenoma patients.
    • Focused on *Fusobacterium nucleatum* (Fn) as a model CRC-associated microbe.
    • Validated MACS-associated genes and proteins in genetically predisposed mouse organoids and patient-derived organoids (PDOs) using RT-qPCR, RNA seq, ELISA, IF, and IHCs.

    Main Results:

    • Identified a MACS upregulated in adenomas, comprising CLDN2, LGR5, CEMIP, and IL8.
    • MACS induction was specific to *Fn* infection and heightened in genetically predisposed organoids.
    • MACS expression in PDOs correlated with known CRC lifetime risk.

    Conclusions:

    • Computational prediction and organoid validation identified early CRC initiation events.
    • MACS highlights that CRC-associated microbes increase risk in genetically predisposed hosts.
    • MACS shows potential for CRC risk prediction and targeted cancer prevention strategies.