High‐Throughput Single‐Cell, Single‐Mitochondrial DNA Assay Using Hydrogel Droplet Microfluidics
Year: 2024
Type: article
Abstract: There is growing interest in understanding the biological implications of single cell heterogeneity and intracellular heteroplasmy of mtDNA, but current methodologies for single-cell mtDNA analysis limit the scale of analysis to small cell populations. Although droplet microfluidics have increased the throughput of single-cell genomic, RNA, and protein analysis, their application to sub-cellular organelle analysis has remained a largely unsolved challenge. Here, we introduce an agarose-based droplet microfluidic approach for single-cell, single-mtDNA analysis, which allows simultaneous processing of hundreds of individual mtDNA molecules within >10,000 individual cells. Our microfluidic chip encapsulates individual cells in agarose beads, designed to have a sufficiently dense hydrogel network to retain mtDNA after lysis and provide a robust scaffold for subsequent multi-step processing and analysis. To mitigate the impact of the high viscosity of agarose required for mtDNA retention on the throughput of microfluidics, we developed a parallelized device, successfully achieving ~95% mtDNA retention from single cells within our microbeads at >700,000 drops/minute. To demonstrate utility, we analyzed specific regions of the single mtDNA using a multiplexed rolling circle amplification (RCA) assay. We demonstrated compatibility with both microscopy, for digital counting of individual RCA products, and flow cytometry for higher throughput analysis.
Institution: University of Pennsylvania
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,510
Funders: National Institute of Mental Health and Neurosciences, National Institutes of Health, National Institute of Mental Health, National Human Genome Research Institute, National Cancer Institute, National Institute of Allergy and Infectious Diseases, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases
Awards: G1059830920, G1358764589, Nanomagnetic isolation and sensing for mobile HIV-1 self-testing, G4434167878, G5627998650, G5989393732, Center for Sub-Cellular Genomics, G720501967, G8189323472, Combining Machine Learning and Nanofluidic Technology for The Multiplexed Diagnosis of Pancreatic Adenocarcinoma
OpenAlex ID: W4392717486
