High-speed fluorescence image-enabled cell sorting
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ABSTRACT:
ORGANISM(S): Homo sapiens (human)
SUBMITTER:
PROVIDER: S-BSST644 | bioimages |
REPOSITORIES: bioimages
Similar Datasets
Project description:Fast and selective isolation of single cells with unique spatial and morphological traits remains a technical challenge. We address this by establishing high speed image-enabled cell sorting (ICS), which records multicolor fluorescence images, and sorts cells based on measurements from image data at speeds up to 15,000 events per second. We combine ICS with CRISPR-pooled screens to identify novel regulators of the NF-κB pathway, enabling the completion of genome-wide image- based screens in around nine hours of run-time.
2022-01-20 | GSE167944 | GEO
Project description:High-speed fluorescence image-enabled cell sorting
| PRJNA705647 | ENA
Project description:Fast and selective isolation of single cells with unique spatial and morphological traits remains a technical challenge. Here, we address this by establishing high-speed image-enabled cell sorting (ICS), which records multicolor fluorescence images and sorts cells based on measurements from image data at speeds up to 15,000 events per second. We show that ICS quantifies cell morphology and localization of labeled proteins and increases the resolution of cell cycle analyses by separating mitotic stages. We combine ICS with CRISPR-pooled screens to identify regulators of the nuclear factor κB (NF-κB) pathway, enabling the completion of genome-wide image-based screens in about 9 hours of run time. By assessing complex cellular phenotypes, ICS substantially expands the phenotypic space accessible to cell-sorting applications and pooled genetic screening.
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Project description:We present a microfluidic cell-sorting device which augments microscopy with the capability to perform facile image-based cell sorting. This combination enables intuitive, complex phenotype sorting based on spatio-temporal fluorescence or cell morphology. The microfluidic device contains a microwell array that can be passively loaded with mammalian cells via sedimentation and can be subsequently inspected with microscopy. After inspection, we use the scattering force from a focused infrared laser to levitate cells of interest from their wells into a flow field for collection. First, we demonstrate image-based sorting predicated on whole-cell fluorescence, which could enable sorting based on temporal whole-cell fluorescence behavior. Second, we demonstrate image-based sorting predicated on fluorescence localization (nuclear vs whole-cell fluorescence), highlighting the capability of our approach to sort based on imaged subcellular events, such as localized protein expression or translocation events. We achieve postsort purities up to 89% and up to 155-fold enrichment of target cells. Optical manipulation literature and a direct cell viability assay suggest that cells remain viable after using our technique. The architecture is highly scalable and supports over 10 000 individually addressable trap sites. Our approach enables sorting of significant populations based on subcellular spatio-temporal information, which is difficult or impossible with existing widespread sorting technologies.
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Project description:The advent of image-activated cell sorting and imaging-based cell picking has advanced our knowledge and exploitation of biological systems in the last decade. Unfortunately, they generally rely on fluorescent labeling for cellular phenotyping, an indirect measure of the molecular landscape in the cell, which has critical limitations. Here we demonstrate Raman image-activated cell sorting by directly probing chemically specific intracellular molecular vibrations via ultrafast multicolor stimulated Raman scattering (SRS) microscopy for cellular phenotyping. Specifically, the technology enables real-time SRS-image-based sorting of single live cells with a throughput of up to ~100 events per second without the need for fluorescent labeling. To show the broad utility of the technology, we show its applicability to diverse cell types and sizes. The technology is highly versatile and holds promise for numerous applications that are previously difficult or undesirable with fluorescence-based technologies.
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Project description:Fluorescence-activated droplet sorting (FADS) is one of the most important features provided by droplet-based microfluidics. However, to date, it does not allow to compete with the high-throughput multiplexed sorting capabilities offered by flow cytometery. Here, we demonstrate the use of a dielectrophoretic-based FADS, allowing to sort up to five different droplet populations simultaneously. Our system provides means to select droplets of different phenotypes in a single experimental run to separate initially heterogeneous populations. Our experimental results are rationalized with the help of a numerical model of the actuation of droplets in electric fields providing guidelines for the prediction of sorting designs for upscaled or downscaled microsystems.
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Project description:There is significant interest in farming algae for the direct production of biofuels and valuable lipids. Chlamydomonas reinhardtii is the leading model system for studying lipid metabolism in green algae, but current methods for isolating mutants of this organism with a perturbed lipid content are slow and tedious. Here, we present the Chlamydomonas high-lipid sorting (CHiLiS) strategy, which enables enrichment of high-lipid mutants by fluorescence-activated cell sorting (FACS) of pooled mutants stained with the lipid-sensitive dye Nile Red. This method only takes 5 weeks from mutagenesis to mutant isolation. We developed a staining protocol that allows quantification of lipid content while preserving cell viability. We improved separation of high-lipid mutants from the wild type by using each cell's chlorophyll fluorescence as an internal control. We initially demonstrated 20-fold enrichment of the known high-lipid mutant sta1 from a mixture of sta1 and wild-type cells. We then applied CHiLiS to sort thousands of high-lipid cells from a pool of about 60,000 mutants. Flow cytometry analysis of 24 individual mutants isolated by this approach revealed that about 50% showed a reproducible high-lipid phenotype. We further characterized nine of the mutants with the highest lipid content by flame ionization detection and mass spectrometry lipidomics. All mutants analyzed had a higher triacylglycerol content and perturbed whole-cell fatty acid composition. One arbitrarily chosen mutant was evaluated by microscopy, revealing larger lipid droplets than the wild type. The unprecedented throughput of CHiLiS opens the door to a systems-level understanding of green algal lipid biology by enabling genome-saturating isolation of mutants in key genes.
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Project description:Molecular biology critically depends upon the isolation of desired DNA sequences. Flow cytometry, with its capacity to interrogate and sort more than 50,000 cells/s, shows great potential to expedite clone characterization and isolation. Intrinsic heterogeneity of protein expression levels in cells limits the utility of single fluorescent reporters for cell-sorting. Here, we report a novel dual-fluorescence strategy that overcomes the inherent limitations of single reporter systems by controlling for expression variability. We demonstrate a dual-reporter system using the green fluorescent protein (GFP) gene fused to the Discosoma red fluorescent protein (DsRed) gene. The system reports the successful insertion of foreign DNA with the loss of DsRed fluorescence and the maintenance of GFP fluorescence. Single cells containing inserts are readily recognized by their altered ratios of green to red fluorescence and separated using a high-speed cell-sorter for further processing. This novel reporter system and vector were successfully validated by shotgun library construction, cloned sequence isolation, PCR amplification and DNA sequencing of cloned inserts from bacteria after cell-sorting. This simple, robust system can also be adapted for diverse biosensor assays and is amenable to miniaturization. We demonstrated that dual-fluorescence reporting coupled with high-speed cell-sorting provides a more efficient alternative to traditional methods of clone isolation.
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Project description:The use of single cell RNA sequencing (scRNA-seq) remains limited in cardiac pathology owing to technical difficulties associated with the isolation of single adult cardiomyocytes (CMs). Here, we investigated the capability of large-particle fluorescence-activated cell sorting (LP-FACS) for isolation of viable single adult CMs. We found that LP-FACS readily outperforms conventional FACS for isolation of structurally competent CMs, including large CMs. Additionally, LP-FACS enables isolation of fluorescent CMs from mosaic models. Importantly, the sorted CMs allow generation of high-quality scRNA-seq libraries. Unlike CMs isolated via previously utilized fluidic or manual methods, LP-FAC-isolated CMs generate libraries exhibiting normal levels of mitochondrial transcripts. Moreover, LP-FACS isolated CMs remain functionally competent and can be studied for contractile properties.
2019-07-02 | GSE133640 | GEO
Project description:Synthetic biology aims to improve human health and the environment by repurposing biological enzymes for use in practical applications. However, natural enzymes often function with suboptimal activity when engineered into biological pathways or challenged to recognize unnatural substrates. Overcoming this problem requires efficient directed evolution methods for discovering new enzyme variants that function with a desired activity. Here, we describe the construction, validation, and application of a fluorescence-activated droplet sorting (FADS) instrument that was established to evolve enzymes for synthesizing and modifying artificial genetic polymers (XNAs). The microfluidic system enables droplet sorting at ?2-3 kHz using fluorescent sensors that are responsive to enzymatic activity. The ability to evolve nucleic acid enzymes with customized properties will uniquely drive emerging applications in synthetic biology, biotechnology, and healthcare.
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