Evidence map›Paper›PMID 37071723›Full record

ArticleACS nano2023

A Scalable High-Throughput Isoelectric Fractionation Platform for Extracellular Nanocarriers: Comprehensive and Bias-Free Isolation of Ribonucleoproteins from Plasma, Urine, and Saliva.

Himani Sharma, Vivek Yadav, Crislyn D'Souza-Schorey, David B Go, Satyajyoti Senapati, Hsueh-Chia Chang

Open access · greenAbstract read
In one paragraph

Article in ACS nano, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  8. Nanovaccines in gastrointestinal cancers.Frontiers in immunology · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Himani SharmaDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID 0000-0002-7920-0632
Vivek YadavDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID 0000-0002-2787-3376
Crislyn D'Souza-SchoreyHarper Cancer Research Institute, University of Notre Dame, Notre Dame, Indiana 46556, United States.
David B GoDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID 0000-0001-8948-1442
Satyajyoti SenapatiDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.
Hsueh-Chia ChangDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, United States.ORCID 0000-0003-2147-9260
University of Notre Dame · US

Funding

High-Throughput Electrokinetic Fractionation and Analysis of Extracellular RNA Nano-CarriersUH3CA241684 · NCI · UNIVERSITY OF NOTRE DAME · PI CHANG, HSUEH-CHIA · 2021 to 2022
$1.9M
High-Throughput Electrokinetic Fractionation and Analysis of Extracellular RNA Nano-CarriersUG3CA241684 · NCI · UNIVERSITY OF NOTRE DAME · PI CHANG, HSUEH-CHIA · 2019 to 2020
$927k
NCI NIH HHS UG3 CA241684NCI NIH HHS UH3 CA241684
6 · The paper itself

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.

Indexed as

Body FluidsExtracellular VesiclesLipoproteinsRibonucleoproteinsSalivaLipoproteinsRibonucleoproteinsexRNA nanocarriersfractionationisoelectric pointlipoproteinspHplasmaribonucleoproteins

Identifiers

PMID37071723
PMCPMC10756736
OpenAlexW4366251333

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.