CLCtips: An Integrated Pipette-Tip Platform for High-Efficiency Extracellular Vesicle Proteomics via Aptamer-Mediated Capture and On-Tip Digestion

Current extracellular vesicles (EVs) isolation and proteomics preprocessing workflows are often complex, time-consuming, and costly and frequently rely on specialized equipment. Here, we present an integrated Capture-Lysis-Capture pipette-tips (CLCtips) platform that combines CD63-aptamer-mediated capture of EVs with epoxy-based protein immobilization and on-tip digestion. In our workflow, EVs-enriched fractions are first obtained from plasma, urine, and cerebrospinal fluid (CSF) by short size-exclusion chromatography and are then processed in CLCtips. This single-tip platform seamlessly integrates EVs enrichment, lysis, protein immobilization, and digestion into a 3 h workflow that requires only standard centrifugation equipment. The CLCtips were further applied to EVs-enriched fractions extracted from different biofluids, demonstrating high sensitivity by identifying an average of 2,388 proteins from 1 μL plasma, 1,034 proteins from 10 μL CSF, and 2,535 proteins from 20 μL urine (<i>n</i> = 3). The easy-to-use CLCtips process minute volumes with consumables costing below $1.2 per sample, and its modular architecture allows for customization with alternative affinity ligands, suggesting broad applicability in biomedical research areas.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2026-02-23
DOI
https://doi.org/10.1021/acs.analchem.5c07326
Primary Topic
Extracellular vesicles in disease
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CLCtips: An Integrated Pipette-Tip Platform for High-Efficiency Extracellular Vesicle Proteomics via Aptamer-Mediated Capture and On-Tip Digestion

Hao Zhu, Zhihua Wang, Xi Zhang, Wenjia Zhang et al.
Analytical Chemistry
Extracellular vesicles in disease
article

CLCtips: An Integrated Pipette-Tip Platform for High-Efficiency Extracellular Vesicle Proteomics via Aptamer-Mediated Capture and On-Tip Digestion

Hao Zhu, Zhihua Wang, Xi Zhang, Wenjia Zhang, Mingxia Gao, Wei Liu, Yanpeng Li
article en

Abstract

Current extracellular vesicles (EVs) isolation and proteomics preprocessing workflows are often complex, time-consuming, and costly and frequently rely on specialized equipment. Here, we present an integrated Capture-Lysis-Capture pipette-tips (CLCtips) platform that combines CD63-aptamer-mediated capture of EVs with epoxy-based protein immobilization and on-tip digestion. In our workflow, EVs-enriched fractions are first obtained from plasma, urine, and cerebrospinal fluid (CSF) by short size-exclusion chromatography and are then processed in CLCtips. This single-tip platform seamlessly integrates EVs enrichment, lysis, protein immobilization, and digestion into a 3 h workflow that requires only standard centrifugation equipment. The CLCtips were further applied to EVs-enriched fractions extracted from different biofluids, demonstrating high sensitivity by identifying an average of 2,388 proteins from 1 μL plasma, 1,034 proteins from 10 μL CSF, and 2,535 proteins from 20 μL urine (<i>n</i> = 3). The easy-to-use CLCtips process minute volumes with consumables costing below $1.2 per sample, and its modular architecture allows for customization with alternative affinity ligands, suggesting broad applicability in biomedical research areas.

Analytical ChemistryVol. 98(9)
Fudan University (CN), Pudong Medical Center (CN)
Openalex Percentile: Top 45%
Extracellular vesicles in disease
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.