Evidence map›Paper›PMID 34849458›Full record

ArticleACS applied nano materials2021

Ultrafast Detection of Exosomal RNAs

Yunchen Yang, Eric Kannisto, Santosh K Patnaik, Mary E Reid, Lei Li, Yun Wu

Open access · greenAbstract read
In one paragraph

Article in ACS applied nano materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 50 citations in OpenAlex.

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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 3 institutions in 1 country.

Yunchen YangDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, United States.
Eric KannistoDepartment of Thoracic Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States.
Santosh K PatnaikDepartment of Thoracic Surgery, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States.
Mary E ReidDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, New York 14263, United States.
Lei LiSchool of Mechanical and Materials Engineering, Washington State University, Pullman, Washington 99164, United States.ORCID 0000-0002-1479-3967
Yun WuDepartment of Biomedical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, United States.ORCID 0000-0002-6926-777X
Roswell Park Comprehensive Cancer Center · USUniversity at Buffalo, State University of New York · USWashington State University · US

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MARK G FRATTINI · 1985 to 2026
$116.6M
Noninvasive detection of circulating RNAs for lung cancer early detection and prognosisR33CA191245 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI WU, YUN · 2015 to 2018
$1.3M
Exosome-Protein-microRNA-OneStop (Exo-PROS) biosensor: a new liquid biopsy for cancer screening and early detectionR21CA235305 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI GAN, QIAOQIANG, WU, YUN · 2019 to 2021
$565k
NCI NIH HHS P30 CA016056NCI NIH HHS R21 CA235305NCI NIH HHS R33 CA191245
6 · The paper itself

Abstract

Exosomes are cell-derived, nanosized extracellular vesicles for intercellular communication. Exosomal RNAs have been shown as one type of promising cancer liquid biopsy biomarkers. Conventional methods to characterize exosomal RNAs such as quantitative reverse transcription polymerase chain reaction (qRT-PCR) are limited by low sensitivity, large sample consumption, time-consuming process, and high cost. Many technologies have been developed to overcome these challenges; however, many hours are still required to complete the assays, especially when exosome lysis and RNA extraction are required. We have developed a microfluidic cationic lipoplex nanoparticles (mCLN) assay that utilizes a micromixer biochip to allow for the effective capture of exosomes by cationic lipoplex nanoparticles and thus enables ultrafast and sensitive exosomal RNA detection for cancer diagnosis. The sensing performance and diagnostic performance of the mCLN assay were investigated using non-small cell lung cancer (NSCLC) as the disease model and exosomal microRNA-21 and TTF-1 mRNA as the biomarkers. The limits of detection of the mCLN assay were 2.06 × 10

Indexed as

cancerexosomesin vitro diagnosticsmicrofluidicsmicroRNA

Identifiers

PMID34849458
PMCPMC8628515
OpenAlexW3136296827

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.