Evidence map›Paper›PMID 35111901›Full record

ArticleACS central science2022

Multielectrode Spectroscopy Enables Rapid and Sensitive Molecular Profiling of Extracellular Vesicles.

Tugba Kilic, Young Kwan Cho, Naebong Jeong, Ik-Soo Shin, Bob S Carter, Leonora Balaj, Ralph Weissleder, Hakho Lee

Open access · diamondAbstract read
In one paragraph

Article in ACS central science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 29 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

8 authors at 4 institutions in 2 countries.

Tugba KilicCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.
Young Kwan ChoCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.
Naebong JeongCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.
Ik-Soo ShinDepartment of Chemistry, Soongsil University, Seoul 06978, South Korea.ORCID https://orcid.org/0000-0001-6344-4176
Bob S CarterDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States.
Leonora BalajDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, United States.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID https://orcid.org/0000-0002-0087-0909
Harvard University · USMassachusetts General Hospital · USSoongsil University · KRUniversity of Massachusetts Lowell · US

Funding

The role of microvesicles in giloma virotherapyP01CA069246 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAREST, ALAIN · 1996 to 2021
$30.9M
Liquid Biopsy for treatment stratification of IDH1.R132H and EGFRvIII mutant gliomasU01CA230697 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARTER, BOB S, SKOG, JOHAN · 2018 to 2022
$4.0M
Early Detection through Novel OCEAN Technology - Ovarian Cancer Exosomal Analysis with NanoplasmonicsU01CA233360 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CASTRO, CESAR M, DINULESCU, DANIELA M · 2018 to 2022
$3.5M
Clinical platform for high-throughput analyses of extracellular vesiclesR01CA229777 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, SKOG, JOHAN · 2018 to 2022
$3.2M
Imaging and Liquid Biopsy for Glioma Diagnosis and Treatment MonitoringR01CA239078 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BALAJ, LEONORA, LEE, HAKHO · 2020 to 2024
$3.1M
Standardized Molecular Analyses of Glioma EVsR01CA237500 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CARTER, BOB S, LEE, HAKHO · 2020 to 2024
$3.0M
Multiplexed analysis of exosomes in cancer nano therapyR01CA204019 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2020
$1.9M
High-throughput Integrated Magneto-electrochemical Exosome (HiMEX) platform to identify neurodevelopmental markers associated with pre and postnatal oxycodone exposureR21DA049577 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI LEE, HAKHO, PENDYALA, GURUDUTT · 2019 to 2020
$458k
NCI NIH HHS P01 CA069246NCI NIH HHS R01 CA204019NCI NIH HHS R01 CA229777NCI NIH HHS R01 CA237500NCI NIH HHS R01 CA239078NCI NIH HHS U01 CA230697NCI NIH HHS U01 CA233360NIDA NIH HHS R21 DA049577
6 · The paper itself

Abstract

Detecting protein markers in extracellular vesicles (EVs) is becoming a useful tool for basic research and clinical diagnoses. Most EV protein assays, however, require lengthy processes-conjugating affinity ligands onto sensing substrates and affixing EVs with additional labels to maximize signal generation. Here, we present an iPEX (impedance profiling of extracellular vesicles) system, an all-electrical strategy toward fast, multiplexed EV profiling. iPEX adopts one-step electropolymerization to rapidly functionalize sensor electrodes with antibodies; it then detects EV proteins in a label-free manner through impedance spectroscopy. The approach streamlines the entire EV assay, from sensor preparation to signal measurements. We achieved (i) fast immobilization of antibodies (<3 min) per electrode; (ii) high sensitivity (500 EVs/mL) without secondary labeling; and (iii) parallel detection (quadruple) in a single chip. A potential clinical utility was demonstrated by directly analyzing plasma samples from glioblastoma multiforme patients.

Identifiers

PMID35111901
PMCPMC8802188
OpenAlexW4205874178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.