Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Enabling Sensitive Phenotypic Profiling of Cancer-Derived Small Extracellular Vesicles Using Surface-Enhanced Raman Spectroscopy Nanotags.

ACS sensors - 27 Mar 2020

Zhang Wei, Jiang Lianmei, Diefenbach Russell J, Campbell Douglas H, Walsh Bradley J, Packer Nicolle H, Wang Yuling

Abstract excerpt

Circulating cancer-derived small extracellular vesicles (EVs) are nanoscale membranous vesicles shed from cancer cells that are released into surrounding body fluids. Small EVs contain biomolecules associated with cancer such as DNA and proteins for cell-to-cell communication. Therefore, small EVs have been regarded as important cancer biomarkers for liquid biopsy-based cancer diagnosis and drug treatment...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers, Tumor
Share to Cell Line, Tumor

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Extracellular Vesicles

Share to Nanostructures

Share to Neoplasms

Share to Phenotype

Share to Spectrum Analysis, Raman

Source

Identifiers

PMID: 32134252
DOI: 10.1021/acssensors.9b02377

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Enabling Sensitive Phenotypic Profiling of Cancer-Derived Small Extracellular Vesicles Using Surface-Enhanced Raman Spectroscopy Nanotags.PMID 32134252Read ↗

Phenotypic profiling of pancreatic ductal adenocarcinoma plasma-derived small extracellular vesicles for cancer diagnosis and cancer stage prediction: a proof-of-concept study.Semantic proximity Read ↗

Sensitive phenotyping of serum extracellular vesicles on a SERS-microfluidic platform for early-stage clinical diagnosis of ovarian carcinoma.Semantic proximity Read ↗

SERS analysis of cancer cell-derived exosome phenotypes using a rare-earth ion coordination-dominated exosome capture strategy.Semantic proximity Read ↗

Localized fluorescent imaging of multiple proteins on individual extracellular vesicles using rolling circle amplification for cancer diagnosisSemantic proximity Read ↗

Multiplexed Profiling of Single-cell Extracellular Vesicles SecretionSemantic proximity Read ↗

Correlation between membrane proteins and sizes of extracellular vesicles and particles: A potential signature for cancer diagnosisSemantic proximity Read ↗

Multiplexed Profiling of Single Extracellular VesiclesSemantic proximity Read ↗

Ultrasensitive and High‐Resolution Protein Spatially Decoding Framework for Tumor Extracellular VesiclesSemantic proximity Read ↗

Engineering a Single Extracellular Vesicle Protein and RNA Assay ( <sup>siEV</sup> PRA) via In Situ Fluorescence Microscopy in a UV Micropatterned ArraySemantic proximity Read ↗

In Situ Single Cell Proteomics Reveals Circulating Tumor Cell Heterogeneity during TreatmentSemantic proximity Read ↗

Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle AnalysisSemantic proximity Read ↗

Integrated immunoisolation and protein analysis of circulating exosomes using microfluidic technology.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.