Literature DB >> 34109003

Optimization of a Clinically Relevant Chemical-Mechanical Tissue Dissociation Workflow for Single-Cell Analysis.

E Celeste Welch1, Harry Yu1, Anubhav Tripathi1.   

Abstract

INTRODUCTION: While single-cell analysis technology has flourished, obtaining single cells from complex tissues continues to be a challenge. Current methods require multiple steps and several hours of processing. This study investigates chemical and mechanical methods for clinically relevant preparation of single-cell suspension from frozen biopsy cores of complex tissues. The developed protocol can be completed in 15 min.
METHODS: Frozen bovine liver biopsy cores were normalized by weight, dimension, and calculated cellular composition. Various chemical reagents were tested for their capability to dissociate the tissue via confocal microscopy, hemocytometry and quantitative flow cytometry. Images were processed using ImageJ. Quantitative flow cytometry with gating analysis was also used for the analysis of dissociation. Physical modeling simulations were conducted in COMSOL Multiphysics.
RESULTS: A rapid method for tissue dissociation was developed for single-cell analysis techniques. The results of this study show that a combination of 1% type-1 collagenase and pronase or hyaluronidase in 100 U/µL HBSS solution is the most effective at dissociating 2.5 mm thawed bovine liver biopsy cores in 15 min, with dissociation efficiency of 37-42% and viability >90% as verified using live MDA-MB-231 cancer cells. Cellular dissociation is significantly improved by adding a controlled mechanical force during the chemical process, to dissociate 93 ± 8% of the entire tissue into single cells.
CONCLUSIONS: Understanding cellular dissociation in ex vivo tissues is essential to the development of clinically relevant dissociation workflows. Controlled mechanical force in combination with chemical treatment produces high quality tissue dissociation. This research is relevant to the understanding and assessment of tissue dissociation and the establishment of an automated preparatory workflow for single cell diagnostics. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s12195-021-00667-y) contains supplementary material, which is available to authorized users. © Biomedical Engineering Society 2021.

Entities:  

Keywords:  Cancer; Diagnostics; Flow cytometry; Screening; Single-cell sequencing

Year:  2021        PMID: 34109003      PMCID: PMC8175683          DOI: 10.1007/s12195-021-00667-y

Source DB:  PubMed          Journal:  Cell Mol Bioeng        ISSN: 1865-5025            Impact factor:   2.321


  27 in total

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