Scientists can now select individual cells from a population that grows on the surface of a laboratory dish and study their molecular contents. Developed by University of Toronto researchers, the new tool will enable a deeper study of stem cells and other rare cell types for therapy development.
The method is the first to marry cell microscopy with omics platforms to link the cells’ physical parameters that are visible by eye, such as appearance, the presence of surface markers or cell-cell contacts, to their molecular makeup.
“We give the user the power to take beautiful fluorescence microscopy images to learn everything that can be learned about cells growing in situ and then connect that information with the cell’s genome, transcriptome and proteome,” says Aaron Wheeler, a professor of chemistry and biomedical engineering in the Donnelly Centre for Cellular and Biomolecular Research who led the work.
The platform is described in a paper out today in the journal Nature Communications.
Named DISCO, for Digital microfluidic Isolation of Single Cells for -Omics, the method allows researchers to select single cells in their local environment and analyse their contents with the DNA and protein sequencing technologies to read the cell’s DNA (genome), the genes’ RNA transcripts (transcriptome) and protein molecules (proteome).
The rise of single-cell analyses over the past five years has enabled researchers to measure tens of thousands of molecules in each cell, transforming their ability to study tissues and organs on a granular level. But these approaches miss important information about the cells’ physical features and local environment because the cells have to be placed in suspension and separated from each other prior to analysis.
“There’s a revolution going on right now with single cell omics,” says Wheeler, who is Canada Research Chair in Microfluidic Bioanalysis. “But I came across people who were disappointed that there weren’t able to capture phenotypic information about the cell in its in situ environment.”
“And I thought we might be able to come up with a way to select particular cells from that population and analyse them,” he says.
DISCO is composed of a microscope fitted with a high frequency laser and a microfluidic chip for the collection of cellular material. The microscope allows the user to take detailed images of the target cell before shining the laser on it. The energy from the laser causes a tiny bubble to form and pop in the proximity of the cell, rupturing its membrane and shooting its contents up into a droplet on the microfluidic chip, from where it is retrieved for molecular sequencing.
“Our platform focuses on the metadata that you lose when you do single cell suspension, things like cell position, what were its morphological properties, who were its neighbours? Those are all the things that we can capture before we do the single cell sequencing ,” says Erica Scott, a postdoctoral fellow in the lab who spearheaded the work along with two PhD students in the lab, Julian Lamanna and Harrison Edwards.
“To our knowledge, this is the only platform that can take cells in culture and do this kind of thing,” she says.
Digital microfluidic isolation of single cells for -Omics (DISCO)

a Illustration of the platform used for DISCO (left). Zoom-in shows the integration of a DMF device into the microscope stage (right). b Top-view schematics (left) and angled-view photos (right) of a digital microfluidic device at various stages of processing. (I) Adherent cells (red and green) are cultured on a digital microfluidic device, and a collection droplet (blue) is positioned over the array of cells. (II) A single green cell is targeted for laser lysis into the collection droplet. (III) The collection droplet (green) is queued for -Omics analysis. c Side-view schematic (left) showing two adherent cells (red and green) cultured on a digital microfluidic device (top panel), and laser-induced plasma bubble formation and expansion (middle panels) causing cell lysis to release cell contents into droplet (bottom panel). Fluorescence microscopy images (right) of a co-culture of live eGFP-expressing U87 cells (green) and tdTomato-expressing B16 cells (red) on the DISCO platform before (top) and after (bottom) lysis of the U87 cell in the center. The scale bar is 50 μm.
In proof of principle experiments, the researchers demonstrated DISCO’s ability to faithfully relate omics data to individual human and mouse brain cancer cells that were cultured side by side.
But the findings also brought into sharp focus the extent to which the contacts between cells can influence their molecular states. The expression of a whopping 5,000 mouse genes–about a fifth of the genome– was altered in individual mouse cells that had been surrounded by human cells instead of their own kin.
The findings could have important implications for many labs that seek to gain a better understanding of healthy and diseased human tissue, such as tumours, by growing them in mice so that they can be studied in a whole-body environment. If gene expression is similarly affected in the human graft, these changes could have ramification for treatment development, said Wheeler.
Fortunately, DISCO may soon offer a window into the cells in their natural environment as the researchers are working to adapt it to the analysis of tissue slices. Their ultimate goal is to apply DISCO to the study of rare cell types, such as stem cells, whose regenerative potential is in large part regulated by their immediate environment, to help advance new therapies.
Source – University of Toronto
Lamanna J, Scott EY, Edwards HS et al. (2020) Digital microfluidic isolation of single cells for -Omics. Nat Commun 11, 5632. [article]
Scientists can now select individual cells from a population that grows on the surface of a laboratory dish and study their molecular contents. Developed by University of Toronto researchers, the new tool will enable a deeper study of stem cells and other rare cell types for therapy development.
The method is the first to marry cell microscopy with omics platforms to link the cells’ physical parameters that are visible by eye, such as appearance, the presence of surface markers or cell-cell contacts, to their molecular makeup.
The platform is described in a paper out today in the journal Nature Communications.
Named DISCO, for Digital microfluidic Isolation of Single Cells for -Omics, the method allows researchers to select single cells in their local environment and analyse their contents with the DNA and protein sequencing technologies to read the cell’s DNA (genome), the genes’ RNA transcripts (transcriptome) and protein molecules (proteome).
The rise of single-cell analyses over the past five years has enabled researchers to measure tens of thousands of molecules in each cell, transforming their ability to study tissues and organs on a granular level. But these approaches miss important information about the cells’ physical features and local environment because the cells have to be placed in suspension and separated from each other prior to analysis.
DISCO is composed of a microscope fitted with a high frequency laser and a microfluidic chip for the collection of cellular material. The microscope allows the user to take detailed images of the target cell before shining the laser on it. The energy from the laser causes a tiny bubble to form and pop in the proximity of the cell, rupturing its membrane and shooting its contents up into a droplet on the microfluidic chip, from where it is retrieved for molecular sequencing.
Digital microfluidic isolation of single cells for -Omics (DISCO)
a Illustration of the platform used for DISCO (left). Zoom-in shows the integration of a DMF device into the microscope stage (right). b Top-view schematics (left) and angled-view photos (right) of a digital microfluidic device at various stages of processing. (I) Adherent cells (red and green) are cultured on a digital microfluidic device, and a collection droplet (blue) is positioned over the array of cells. (II) A single green cell is targeted for laser lysis into the collection droplet. (III) The collection droplet (green) is queued for -Omics analysis. c Side-view schematic (left) showing two adherent cells (red and green) cultured on a digital microfluidic device (top panel), and laser-induced plasma bubble formation and expansion (middle panels) causing cell lysis to release cell contents into droplet (bottom panel). Fluorescence microscopy images (right) of a co-culture of live eGFP-expressing U87 cells (green) and tdTomato-expressing B16 cells (red) on the DISCO platform before (top) and after (bottom) lysis of the U87 cell in the center. The scale bar is 50 μm.
In proof of principle experiments, the researchers demonstrated DISCO’s ability to faithfully relate omics data to individual human and mouse brain cancer cells that were cultured side by side.
But the findings also brought into sharp focus the extent to which the contacts between cells can influence their molecular states. The expression of a whopping 5,000 mouse genes–about a fifth of the genome– was altered in individual mouse cells that had been surrounded by human cells instead of their own kin.
The findings could have important implications for many labs that seek to gain a better understanding of healthy and diseased human tissue, such as tumours, by growing them in mice so that they can be studied in a whole-body environment. If gene expression is similarly affected in the human graft, these changes could have ramification for treatment development, said Wheeler.
Fortunately, DISCO may soon offer a window into the cells in their natural environment as the researchers are working to adapt it to the analysis of tissue slices. Their ultimate goal is to apply DISCO to the study of rare cell types, such as stem cells, whose regenerative potential is in large part regulated by their immediate environment, to help advance new therapies.
Source – University of Toronto
Lamanna J, Scott EY, Edwards HS et al. (2020) Digital microfluidic isolation of single cells for -Omics. Nat Commun 11, 5632. [article]
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Scientists can now select individual cells from a population that grows on the surface of a laboratory dish and study their molecular contents. Developed by University of Toronto researchers, the new tool will enable a deeper study of stem cells and other rare cell types for therapy development.
The method is the first to marry cell microscopy with omics platforms to link the cells’ physical parameters that are visible by eye, such as appearance, the presence of surface markers or cell-cell contacts, to their molecular makeup.
The platform is described in a paper out today in the journal Nature Communications.
Named DISCO, for Digital microfluidic Isolation of Single Cells for -Omics, the method allows researchers to select single cells in their local environment and analyse their contents with the DNA and protein sequencing technologies to read the cell’s DNA (genome), the genes’ RNA transcripts (transcriptome) and protein molecules (proteome).
The rise of single-cell analyses over the past five years has enabled researchers to measure tens of thousands of molecules in each cell, transforming their ability to study tissues and organs on a granular level. But these approaches miss important information about the cells’ physical features and local environment because the cells have to be placed in suspension and separated from each other prior to analysis.
DISCO is composed of a microscope fitted with a high frequency laser and a microfluidic chip for the collection of cellular material. The microscope allows the user to take detailed images of the target cell before shining the laser on it. The energy from the laser causes a tiny bubble to form and pop in the proximity of the cell, rupturing its membrane and shooting its contents up into a droplet on the microfluidic chip, from where it is retrieved for molecular sequencing.
Digital microfluidic isolation of single cells for -Omics (DISCO)
a Illustration of the platform used for DISCO (left). Zoom-in shows the integration of a DMF device into the microscope stage (right). b Top-view schematics (left) and angled-view photos (right) of a digital microfluidic device at various stages of processing. (I) Adherent cells (red and green) are cultured on a digital microfluidic device, and a collection droplet (blue) is positioned over the array of cells. (II) A single green cell is targeted for laser lysis into the collection droplet. (III) The collection droplet (green) is queued for -Omics analysis. c Side-view schematic (left) showing two adherent cells (red and green) cultured on a digital microfluidic device (top panel), and laser-induced plasma bubble formation and expansion (middle panels) causing cell lysis to release cell contents into droplet (bottom panel). Fluorescence microscopy images (right) of a co-culture of live eGFP-expressing U87 cells (green) and tdTomato-expressing B16 cells (red) on the DISCO platform before (top) and after (bottom) lysis of the U87 cell in the center. The scale bar is 50 μm.
In proof of principle experiments, the researchers demonstrated DISCO’s ability to faithfully relate omics data to individual human and mouse brain cancer cells that were cultured side by side.
But the findings also brought into sharp focus the extent to which the contacts between cells can influence their molecular states. The expression of a whopping 5,000 mouse genes–about a fifth of the genome– was altered in individual mouse cells that had been surrounded by human cells instead of their own kin.
The findings could have important implications for many labs that seek to gain a better understanding of healthy and diseased human tissue, such as tumours, by growing them in mice so that they can be studied in a whole-body environment. If gene expression is similarly affected in the human graft, these changes could have ramification for treatment development, said Wheeler.
Fortunately, DISCO may soon offer a window into the cells in their natural environment as the researchers are working to adapt it to the analysis of tissue slices. Their ultimate goal is to apply DISCO to the study of rare cell types, such as stem cells, whose regenerative potential is in large part regulated by their immediate environment, to help advance new therapies.
Source – University of Toronto
Lamanna J, Scott EY, Edwards HS et al. (2020) Digital microfluidic isolation of single cells for -Omics. Nat Commun 11, 5632. [article]
Related Posts
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
Unlocking the past – new method helps gain insights into old tissue
New RNA sequencing model improves sequencing depth planning for UMI transcriptomics
Combining RNA sequencing and pathology images identifies glioblastoma subgroups linked to survival
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