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Improving Transcriptome Fidelity Following Synovial Tissue Disaggregation.

David L Boyle1, Edward B Prideaux2, Joshua Hillman1

  • 1Department of Medicine, University of California, San Diego, San Diego, CA, United States.

Frontiers in Medicine
|August 29, 2022
PubMed
Summary
This summary is machine-generated.

Optimizing tissue disaggregation for single-cell RNA sequencing (scRNAseq) is crucial. New methods using RNA polymerase inhibitors or cold enzymes better preserve the synovial transcriptome, improving arthritis research.

Keywords:
disaggregationfunctional genomicsrheumatoid arthritissynoviatranscriptome

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Area of Science:

  • Molecular Biology
  • Genomics
  • Immunology

Background:

  • Synovial tissue analysis is vital for understanding osteoarthritis (OA) and rheumatoid arthritis (RA).
  • Current disaggregation methods can alter gene expression, affecting transcriptome fidelity.
  • Single-cell RNA sequencing (scRNAseq) requires high-quality, representative cellular data.

Purpose of the Study:

  • To enhance the accuracy of the synovial tissue transcriptome after disaggregation.
  • To evaluate modified disaggregation techniques for improved RNA sequencing applications.
  • To optimize tissue processing for better differentiation between OA and RA transcriptomes.

Main Methods:

  • Synovial tissues from OA and RA patients were disaggregated using three methods: Liberase TL (Lib), Lib with flavopridol (Flavo), or cold subtilisin A (SubA).
  • RNA was extracted and analyzed using quantitative PCR (qPCR) and bulk RNA sequencing (RNAseq).
  • Results were compared against intact tissue to assess disaggregation-induced changes.

Main Results:

  • All methods yielded comparable cell yield and viability, with SubA showing improved viability.
  • Liberase TL alone significantly altered gene expression related to inflammation and immunity.
  • Flavo and SubA methods minimized disaggregation-induced transcriptome changes, preserving in situ representation.
  • RNAseq confirmed that alternative methods largely prevented transcriptional alterations.

Conclusions:

  • Tissue disaggregation significantly impacts the synovial transcriptome.
  • Employing RNA polymerase inhibitors or cold enzyme digestion preserves transcriptomic integrity.
  • Optimized disaggregation techniques improve the fidelity of cell suspensions for scRNAseq and other analyses.
  • Method selection should align with specific research goals for accurate synovial tissue analysis.