scholarly journals Ultrahigh-throughput–directed enzyme evolution by absorbance-activated droplet sorting (AADS)

2016 ◽  
Vol 113 (47) ◽  
pp. E7383-E7389 ◽  
Author(s):  
Fabrice Gielen ◽  
Raphaelle Hours ◽  
Stephane Emond ◽  
Martin Fischlechner ◽  
Ursula Schell ◽  
...  

Ultrahigh-throughput screening, in which members of enzyme libraries compartmentalized in water-in-oil emulsion droplets are assayed, has emerged as a powerful format for directed evolution and functional metagenomics but is currently limited to fluorescence readouts. Here we describe a highly efficient microfluidic absorbance-activated droplet sorter (AADS) that extends the range of assays amenable to this approach. Using this module, microdroplets can be sorted based on absorbance readout at rates of up to 300 droplets per second (i.e., >1 million droplets per hour). To validate this device, we implemented a miniaturized coupled assay for NAD+-dependent amino acid dehydrogenases. The detection limit (10 μM in a coupled assay producing a formazan dye) enables accurate kinetic readouts sensitive enough to detect a minimum of 1,300 turnovers per enzyme molecule, expressed in a single cell, and released by lysis within a droplet. Sorting experiments showed that the AADS successfully enriched active variants up to 2,800-fold from an overwhelming majority of inactive ones at ∼100 Hz. To demonstrate the utility of this module for protein engineering, two rounds of directed evolution were performed to improve the activity of phenylalanine dehydrogenase toward its native substrate. Fourteen hits showed increased activity (improved >4.5-fold in lysate; kcat increased >2.7-fold), soluble protein expression levels (up 60%), and thermostability (Tm, 12 °C higher). The AADS module makes the most widely used optical detection format amenable to screens of unprecedented size, paving the way for the implementation of chromogenic assays in droplet microfluidics workflows.

Langmuir ◽  
2017 ◽  
Vol 33 (49) ◽  
pp. 14087-14092 ◽  
Author(s):  
Kazuki Akamatsu ◽  
Koki Minezaki ◽  
Masumi Yamada ◽  
Minoru Seki ◽  
Shin-ichi Nakao

2004 ◽  
Vol 847 ◽  
Author(s):  
Giulia Fornasieri ◽  
Stéphane Badaire ◽  
Rénal Vasco Backov ◽  
Philippe Poulin ◽  
Cécile Zakri ◽  
...  

Using reverse emulsion systems, we were able to trigger mineralization confined at an oil-water interface. In this process, the alcoxide silica precursor is dissolved in the oil continuous phase of the emulsion and diffuses through the bulk to the interface where it starts to hydrolyze and condense as soon as a certain concentration threshold is attained. The process takes place only in the presence of a water soluble surfactant inside the droplet. This surfactant leads to the presence of a controlled mesoporosity inside the silica shells. The obtained objects could be used in different encapsulation applications.


2017 ◽  
Author(s):  
Jörg Morf ◽  
Steven W. Wingett ◽  
Irene Farabella ◽  
Jonathan Cairns ◽  
Mayra Furlan-Magaril ◽  
...  

AbstractSpatial transcriptomics aims to understand how the ensemble of RNA molecules in tissues and cells is organized in 3D space. Here we introduce Proximity RNA-seq, which enriches for nascent transcripts, and identifies contact preferences for individual RNAs in cell nuclei. Proximity RNA-seq is based on massive-throughput RNA-barcoding of sub-nuclear particles in water-in-oil emulsion droplets, followed by sequencing. We show a bipartite organization of the nuclear transcriptome in which compartments of different RNA density correlate with transcript families, tissue specificity and extent of alternative splicing. Integration of proximity measurements at the DNA and NA level identify transcriptionally active genomic regions with increased nucleic acid density and faster RNA polymerase II elongation located close to compact chromatin.


ChemPhysChem ◽  
2011 ◽  
Vol 12 (2) ◽  
pp. 263-266 ◽  
Author(s):  
Masahiro Yasukawa ◽  
Eiji Kamio ◽  
Tsutomu Ono

Langmuir ◽  
2017 ◽  
Vol 33 (5) ◽  
pp. 1265-1274 ◽  
Author(s):  
Chen Shi ◽  
Ling Zhang ◽  
Lei Xie ◽  
Xi Lu ◽  
Qingxia Liu ◽  
...  

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