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    Development of txci-CAB as a New Single-cell Approach to Study Chromatin Modifications and Accessibility Across the Genome

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    Author
    Rathi, Radhika
    Issue Date
    2025
    Keywords
    Chromatin profiling
    Multimodal technologies
    Sequencing
    Single-cell
    Advisor
    Cusanovich, Darren
    
    Metadata
    Show full item record
    Publisher
    The University of Arizona.
    Rights
    Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction, presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
    Abstract
    Understanding the epigenomic landscape of single cells is critical for uncovering the regulatorymechanisms that govern cell identity, differentiation, and function. Traditional chromatin profiling methods often measure a single modality per assay, limiting the ability to directly capture the interplay between chromatin accessibility and histone modifications. To overcome this limitation, we developed txci-CAB (10x-compatible combinatorial indexing of CUT&Tag and ATAC both) by combining combinatorial indexing with a droplet-based microfluidic system. In this thesis, we work on systematic optimization of ATAC-seq and CUT&Tag protocols in order to integrate them within the same workflow to simultaneously profile accessible chromatin states as well as specific modifications in individual cells. The txci-CAB protocol incorporates Tn5-based combinatorial barcoding for chromatin accessibility followed by pA-Tn5-guided CUT&Tag for histone modifications. Although several multimodal single-cell sequencing techniques exist, txci-CAB is designed to enhance scalability, sensitivity and overall convenience of use, both in terms of input reagents and protocol workflow. Our approach also emphasizes increased library complexity while maintaining robustness and reproducibility. Notably, we observed higher estimated complexity in our bulk datasets, demonstrating the method's effectiveness in simultaneously capturing two chromatin modalities at single-cell resolution.
    Type
    text
    Electronic Thesis
    Degree Name
    M.S.
    Degree Level
    masters
    Degree Program
    Graduate College
    Cellular and Molecular Medicine
    Degree Grantor
    University of Arizona
    Collections
    Master's Theses

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