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A Scalable High-Throughput Isoelectric Fractionation Platform for Extracellular Nanocarriers: Comprehensive and Bias-Free Isolation of Ribonucleoproteins from Plasma, Urine, and Saliva.
Sharma, Himani; Yadav, Vivek; D'Souza-Schorey, Crislyn; Go, David B; Senapati, Satyajyoti; Chang, Hsueh-Chia.
Affiliation
  • Sharma H; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
  • Yadav V; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
  • D'Souza-Schorey C; Harper Cancer Research Institute, University of Notre Dame, Notre Dame, Indiana 46556, United States.
  • Go DB; Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana 46556, United States.
  • Senapati S; Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
  • Chang HC; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
ACS Nano ; 17(10): 9388-9404, 2023 05 23.
Article in En | MEDLINE | ID: mdl-37071723
ABSTRACT
Extracellular nanocarriers (extracellular vesicles (EVs), lipoproteins, and ribonucleoproteins) of protein and nucleic acids mediate intercellular communication and are clinically adaptable as distinct circulating biomarkers. However, the overlapping size and density of the nanocarriers have so far prevented their efficient physical fractionation, thus impeding independent downstream molecular assays. Here, we report a bias-free high-throughput and high-yield continuous isoelectric fractionation nanocarrier fractionation technique based on their distinct isoelectric points. This nanocarrier fractionation platform is enabled by a robust and tunable linear pH profile provided by water-splitting at a bipolar membrane and stabilized by flow without ampholytes. The linear pH profile that allows easy tuning is a result of rapid equilibration of the water dissociation reaction and stabilization by flow. The platform is automated with a machine learning procedure to allow recalibration for different physiological fluids and nanocarriers. The optimized technique has a resolution of 0.3 ΔpI, sufficient to separate all nanocarriers and even subclasses of nanocarriers. Its performance is then evaluated with several biofluids, including plasma, urine, and saliva samples. Comprehensive, high-purity (plasma >93%, urine >95% and saliva >97%), high-yield (plasma >78%, urine >87% and saliva >96%), and probe-free isolation of ribonucleoproteins in 0.75 mL samples of various biofluids in 30 min is demonstrated, significantly outperforming affinity-based and highly biased gold standards having low yield and day-long protocols. Binary fractionation of EVs and different lipoproteins is also achieved with similar performance.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Fluids / Extracellular Vesicles Type of study: Guideline Language: En Journal: ACS Nano Year: 2023 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Fluids / Extracellular Vesicles Type of study: Guideline Language: En Journal: ACS Nano Year: 2023 Document type: Article Affiliation country: Estados Unidos