Microfluidic system for single cell sorting with optical tweezers

Author(s):  
Thomas Bruns ◽  
Laszlo Becsi ◽  
Marc Talkenberg ◽  
Michael Wagner ◽  
Petra Weber ◽  
...  
2021 ◽  
Author(s):  
Caiyun Miao ◽  
Jia Yu ◽  
Lingyan Kan ◽  
Huiping Liu ◽  
Yuandong Li

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.


2013 ◽  
Vol 58 (21) ◽  
pp. 2594-2600 ◽  
Author(s):  
HongFei Ma ◽  
Yong Zhang ◽  
AnPei Ye

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.


PLoS ONE ◽  
2014 ◽  
Vol 9 (6) ◽  
pp. e100042 ◽  
Author(s):  
Matthew M. Crane ◽  
Ivan B. N. Clark ◽  
Elco Bakker ◽  
Stewart Smith ◽  
Peter S. Swain

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.


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