scholarly journals A Fluorescence-Activated Single-Droplet Dispenser for High Accuracy Single-Droplet and Single-Cell Sorting and Dispensing

Author(s):  
Yuling Qin ◽  
Li Wu ◽  
Jingang Wang ◽  
Rui Han ◽  
Jingyu Shen ◽  
...  
Lab on a Chip ◽  
2016 ◽  
Vol 16 (8) ◽  
pp. 1420-1429 ◽  
Author(s):  
David McIlvenna ◽  
Wei E. Huang ◽  
Paul Davison ◽  
Andrew Glidle ◽  
Jon Cooper ◽  
...  

A chip-based Raman activated cell sorting system is developed, which demonstrates continuous and automated sorting of individual cells in a flow, based on their intrinsic resonance Raman spectra. This platform allows the isolation of cells in their native fluid with the ability to achieve high accuracy sorting of 96.3%.


BIOspektrum ◽  
2021 ◽  
Vol 27 (3) ◽  
pp. 274-276
Author(s):  
Morgan S. Sobol ◽  
Anne-Kristin Kaster

AbstractSingle cell genomics (SCG) can provide reliable context for assembled genome fragments on the level of individual prokaryotic genomes and has rapidly emerged as an essential complement to cultivation-based and metagenomics research approaches. Targeted cell sorting approaches, which enable the selection of specific taxa by fluorescent labeling, compatible with subsequent single cell genomics offers an opportunity to access genetic information from rare biosphere members which would have otherwise stayed hidden as microbial dark matter.


2017 ◽  
Vol 89 (7) ◽  
pp. 4007-4012 ◽  
Author(s):  
Martin Dippong ◽  
Peter Carl ◽  
Christine Lenz ◽  
Jörg A. Schenk ◽  
Katrin Hoffmann ◽  
...  

2021 ◽  
Author(s):  
Shuang-qi Gao

Abstract Objectives The subsets of astrocytes in the brain have not been fully elucidated. Using bulk RNA sequencing, reactive astrocytes were divided into A1 versus A2. However, using single-cell RNAseq (ScRNAseq), astrocytes were divided into over two subsets. Our aim was to set up the correspondence between the fluorescent-activated cell sorting (FACS)-bulk RNAseq and ScRNAseq data. Results We found that most of reactive astrocytes (RAs) marker genes were expressed in endothelial cells but not in astrocytes, suggesting those marker genes are not suitable for astrocytic activation. The absence of A1 and A2 astrocytes in the brain.


2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Chayaporn Suphavilai ◽  
Shumei Chia ◽  
Ankur Sharma ◽  
Lorna Tu ◽  
Rafael Peres Da Silva ◽  
...  

AbstractWhile understanding molecular heterogeneity across patients underpins precision oncology, there is increasing appreciation for taking intra-tumor heterogeneity into account. Based on large-scale analysis of cancer omics datasets, we highlight the importance of intra-tumor transcriptomic heterogeneity (ITTH) for predicting clinical outcomes. Leveraging single-cell RNA-seq (scRNA-seq) with a recommender system (CaDRReS-Sc), we show that heterogeneous gene-expression signatures can predict drug response with high accuracy (80%). Using patient-proximal cell lines, we established the validity of CaDRReS-Sc’s monotherapy (Pearson r>0.6) and combinatorial predictions targeting clone-specific vulnerabilities (>10% improvement). Applying CaDRReS-Sc to rapidly expanding scRNA-seq compendiums can serve as in silico screen to accelerate drug-repurposing studies. Availability: https://github.com/CSB5/CaDRReS-Sc.


Author(s):  
Ayushi Agrawal ◽  
Chandra Kanth Bandi ◽  
Tucker Burgin ◽  
Youngwoo Woo ◽  
Heather B. Mayes ◽  
...  

AbstractEngineering of carbohydrate-active enzymes like glycosynthases for chemoenzymatic synthesis of bespoke oligosaccharides has been limited by the lack of suitable directed evolution based protein engineering methods. Currently there are no ultrahigh-throughput screening methods available for rapid and highly sensitive single cell-based screening of evolved glycosynthase enzymes employing azido sugars as substrates. Here, we report a fluorescence-based approach employing click-chemistry for the selective detection of glycosyl azides (versus free inorganic azides) that facilitated ultrahigh-throughput in-vivo single cell-based assay of glycosynthase activity. This discovery has led to the development of a directed evolution methodology for screening and sorting glycosynthase mutants for synthesis of desired fucosylated oligosaccharides. Our screening technique facilitated rapid fluorescence activated cell sorting of a large library of glycosynthase variants (>106 mutants) expressed in E. coli to identify several novel mutants with increased activity for β-fucosyl-azide activated donor sugars towards desired acceptor sugars, demonstrating the broader applicability of this methodology.


2019 ◽  
Author(s):  
Suraj Kannan ◽  
Matthew Miyamoto ◽  
Brian Lin ◽  
Renjun Zhu ◽  
Sean Murphy ◽  
...  

ABSTRACTRationaleSingle cell RNA sequencing (scRNA-seq) has emerged as a powerful tool to profile the transcriptome at single cell resolution, enabling comprehensive analysis of cellular trajectories and heterogeneity during development and disease. However, the use of scRNA-seq remains limited in cardiac pathology owing to technical difficulties associated with the isolation of single adult cardiomyocytes (CMs).ObjectiveWe investigated the capability of large-particle fluorescence-activated cell sorting (LP-FACS) for isolation of viable single adult CMs.Methods and ResultsWe found that LP-FACS readily outperforms conventional FACS for isolation of struturally 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.ConclusionsOur study enables high quality dissection of adult CM biology at single-cell resolution.


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