Keyword search (4,164 papers available)

"Shih SCC" Authored Publications:

Title Authors PubMed ID
1 Nicotine Suppresses Human Memory Th Cell Subsets With Preferential Effects on Central Memory Th Cells in an α7 Nicotinic Acetylcholine Receptor-Dependent Manner Gholizadeh F; Hajiaghayi M; Rahbari N; Choi JS; Heidt S; Como A; Kazerouni M; Kargar M; Pinard-LaRoche A; Shih SCC; Darlington PJ; 41928597
SOH
2 Nebivolol prevents exhausted T cells and enhances cytotoxicity against MCF-7 breast cancer cells in a β2-adrenergic receptor-dependent manner Hajiaghayi M; Gholizadeh F; Rahbari N; Emamnia N; Shih SCC; Darlington PJ; 41906691
SOH
3 Correction: Miniaturized scalable arrayed CRISPR screening in primary cells enables discovery at the single donor resolution Patel MA; Boribong BP; Sinha H; Xiao B; Xie K; Vo PQN; Chin AB; Ellouzi A; Little SR; Shih SCC; Wu H; Muller WJ; Hirukawa A; 41028230
BIOLOGY
4 Recovery of phenotypically sorted cells using droplet-digital microfluidics Deng Z; Perry JM; Weiss M; Genth R; Autour A; Merten CA; Shih SCC; 40693295
ENCS
5 Modulatory effects of M3 muscarinic acetylcholine receptor on inflammatory profiles of human memory T helper cells Gholizadeh F; Hajiaghayi M; Choi JS; Little SR; Rahbari N; Kargar M; Brotto K; Han E; Shih SCC; Darlington PJ; 40405417
BIOLOGY
6 A Digital Microfluidic Platform for the Microscale Production of Functional Immune Cell Therapies Little SR; Rahbari N; Hajiaghayi M; Gholizadeh F; Cloarec-Ung FM; Phillips J; Sinha H; Hirukawa A; Knapp DJHF; Darlington PJ; Shih SCC; 40390294
BIOLOGY
7 The β2-adrenergic biased agonist nebivolol inhibits the development of Th17 and the response of memory Th17 cells in an NF-κB-dependent manner Hajiaghayi M; Gholizadeh F; Han E; Little SR; Rahbari N; Ardila I; Lopez Naranjo C; Tehranimeh K; Shih SCC; Darlington PJ; 39445009
BIOLOGY
8 Integrating microfluidics and synthetic biology: advancements and diverse applications across organisms Leal-Alves C; Deng Z; Kermeci N; Shih SCC; 38712893
BIOLOGY
9 An Automated Single-Cell Droplet-Digital Microfluidic Platform for Monoclonal Antibody Discovery Ahmadi F; Tran H; Letourneau N; Little SR; Fortin A; Moraitis AN; Shih SCC; 38441226
BIOLOGY
10 An electrochemical aptasensor for Δ9-tetrahydrocannabinol detection in saliva on a microfluidic platform Kékedy-Nagy L; Perry JM; Little SR; Llorens OY; Shih SCC; 36549107
BIOLOGY
11 Droplet digital microfluidic system for screening filamentous fungi based on enzymatic activity Samlali K; Alves CL; Jezernik M; Shih SCC; 36438986
BIOLOGY
12 A Synthetic Biosensor for Detecting Putrescine in Beef Samples Selim AS; Perry JM; Nasr MA; Pimprikar JM; Shih SCC; 36356104
BIOLOGY
13 Viral Generation, Packaging, and Transduction on a Digital Microfluidic Platform Quach ABV; Little SR; Shih SCC; 35192339
BIOLOGY
14 Digital Microfluidics Chips for the Execution and Real-Time Monitoring of Multiple Ribozymatic Cleavage Reactions Davis AN; Samlali K; Kapadia JB; Perreault J; Shih SCC; Kharma N; 34514224
BIOLOGY
15 Expanding the limits towards 'one-pot' DNA assembly and transformation on a rapid-prototype microfluidic device Perry JM; Soffer G; Jain R; Shih SCC; 34369550
BIOLOGY
16 Real-Time Optogenetics System for Controlling Gene Expression Using a Model-Based Design. Soffer G, Perry JM, Shih SCC 33543619
BIOLOGY
17 One Cell, One Drop, One Click: Hybrid Microfluidics for Mammalian Single Cell Isolation. Samlali K, Ahmadi F, Quach ABV, Soffer G, Shih SCC 32705796
BIOLOGY
18 An Automated Induction Microfluidics System for Synthetic Biology. Husser MC, Vo PQN, Sinha H, Ahmadi F, Shih SCC 29516725
ENCS
19 An automated microfluidic gene-editing platform for deciphering cancer genes. Sinha H, Quach ABV, Vo PQN, Shih SCC 29989627
ENCS
20 An integrated droplet-digital microfluidic system for on-demand droplet creation, mixing, incubation, and sorting. Ahmadi F, Samlali K, Vo PQN, Shih SCC 30633267
ENCS
21 Integration of World-to-Chip Interfaces with Digital Microfluidics for Bacterial Transformation and Enzymatic Assays. Moazami E, Perry JM, Soffer G, Husser MC, Shih SCC 30945840
ENCS

 

Title:Droplet digital microfluidic system for screening filamentous fungi based on enzymatic activity
Authors:Samlali KAlves CLJezernik MShih SCC
Link:https://pubmed.ncbi.nlm.nih.gov/36438986/
DOI:10.1038/s41378-022-00456-1
Publication:Microsystems & nanoengineering
Keywords:ChemistryEngineering
PMID:36438986 Category: Date Added:2022-11-28
Dept Affiliation: BIOLOGY
1 Department of Electrical and Computer Engineering, Concordia University, Montréal, QC Canada.
2 Centre for Applied Synthetic Biology, Concordia University, Montréal, QC Canada.
3 Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, ON Canada.
4 Department of Biology, Concordia University, Montréal, QC Canada.

Description:

Fungal cell-wall-degrading enzymes have great utility in the agricultural and food industries. These cell-wall-degrading enzymes are known to have functions that can help defend against pathogenic organisms. The existing methods used to discover these enzymes are not well adapted to fungi culture and morphology, which prevents the proper evaluation of these enzymes. We report the first droplet-based microfluidic method capable of long-term incubation and low-voltage conditions to sort filamentous fungi inside nanoliter-sized droplets. The new method was characterized and validated in solid-phase media based on colloidal chitin such that the incubation of single spores in droplets was possible over multiple days (2-4 days) and could be sorted without droplet breakage. With long-term culture, we examined the activity of cell-wall-degrading enzymes produced by fungi during solid-state droplet fermentation using three highly sensitive fluorescein-based substrates. We also used the low-voltage droplet sorter to select clones with highly active cell-wall-degrading enzymes, such as chitinases, ß-glucanases, and ß-N-acetylgalactosaminidases, from a filamentous fungi droplet library that had been incubated for >4 days. The new system is portable, affordable for any laboratory, and user-friendly compared to classical droplet-based microfluidic systems. We propose that this system will be useful for the growing number of scientists interested in fungal microbiology who are seeking high-throughput methods to incubate and sort a large library of fungal cells.





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