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Related Concept Videos

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Optimizing single-cell RNA sequencing methods for human colon biopsies: droplet-based vs. picowell-based platforms.

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    Picowell-based (P-scRNA) and droplet-based (D-scRNA) platforms offer distinct advantages for profiling human colon biopsies. D-scRNA captures more cells but P-scRNA allows frozen storage, highlighting the need for improved single-cell RNA sequencing technologies.

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    Area of Science:

    • Gastroenterology
    • Molecular Biology
    • Bioinformatics

    Background:

    • Single-cell RNA sequencing (scRNA) provides insights into gastrointestinal microenvironments.
    • Droplet-based scRNA (D-scRNA) requires immediate processing of human biopsies, risking epithelial cell damage.
    • Picowell-based scRNA (P-scRNA) allows short-term frozen storage, offering a potential advantage for biopsy processing.

    Purpose of the Study:

    • To compare the performance of P-scRNA and D-scRNA platforms using human colon biopsies.
    • To evaluate the impact of frozen storage on P-scRNA data quality.
    • To assess cell recovery, cell typeability, gene coverage, and expression consistency between platforms.

    Main Methods:

    • Human rectosigmoid mucosal biopsies were used to generate single-cell suspensions.
    • Parallel experiments compared fresh P-scRNA, frozen P-scRNA (-20°C and -80°C), and fresh D-scRNA.
    • Over 10,000 cells per participant were processed for each platform.

    Main Results:

    • P-scRNA showed significant cell recovery for fresh (80.9%) and -80°C frozen (48.5%) samples, while D-scRNA achieved 76.6% recovery.
    • D-scRNA captured a higher percentage of typeable cells (71.5%) compared to fresh (15.8%) and -80°C frozen (18.4%) P-scRNA.
    • D-scRNA yielded higher gene coverage but also higher mitochondrial read fractions; D-scRNA cells showed more consistent gene expression profiles within cell types.

    Conclusions:

    • P-scRNA and D-scRNA platforms possess non-overlapping strengths for analyzing colon biopsies.
    • Innovation is needed to achieve high-fidelity capture of colonic epithelial cells, especially with P-scRNA.
    • Platform-specific variations present challenges for rigor and reproducibility in multi-study analyses.