Evidence map›Paper›PMID 33119256›Full record

ReviewACS nano2020

Plasmonic Sensors for Extracellular Vesicle Analysis: From Scientific Development to Translational Research.

Lip Ket Chin, Taehwang Son, Jae-Sang Hong, Ai-Qun Liu, Johan Skog, Cesar M Castro, Ralph Weissleder, Hakho Lee, Hyungsoon Im

Abstract readReview
In one paragraph

Review in ACS nano, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
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

44 citing papers in PubMed.

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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

9 authors.

Lip Ket ChinCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID 0000-0001-9020-7782
Taehwang SonCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID 0000-0003-3783-4714
Jae-Sang HongCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID 0000-0003-3130-9206
Ai-Qun LiuSchool of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0002-0126-5778
Johan SkogExosome Diagnostics, a Bio-techne brand, Waltham, Massachusetts 02451, United States.
Cesar M CastroCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID 0000-0003-0828-4143
Hakho LeeCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID 0000-0002-0087-0909
Hyungsoon ImCenter for Systems Biology, Massachusetts General Hospital, Boston, Massachusetts 02114, United States.ORCID 0000-0002-0626-1346

Funding

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
Multiplexed analysis of exosomes in cancer nano therapyR01CA204019 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2016 to 2020
$1.9M
Ultrasenstive vesicle analysis in precancerous pancreatic neoplasm (IPMN)R01CA237332 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2020 to 2024
$1.9M
Novel Nano-Plasmonic Technology for Quantitative Analysis of Cancer ExosomesR00CA201248 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2017 to 2019
$968k
Single Circulating Vesicle Analysis for Early Cancer DetectionR21CA236561 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI WEISSLEDER, MD, PHD, RALPH · 2019 to 2021
$585k
Nano-plasmonic technology for high-throughput single exosome analysesR21CA217662 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI IM, HYUNGSOON · 2019 to 2021
$585k
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 R00 CA201248NCI NIH HHS R01 CA204019NCI NIH HHS R01 CA229777NCI NIH HHS R01 CA237332NCI NIH HHS R21 CA217662NCI NIH HHS R21 CA236561NCI NIH HHS U01 CA233360NIDA NIH HHS R21 DA049577
6 · The paper itself

Abstract

Extracellular vesicles (EVs), actively shed from a variety of neoplastic and host cells, are abundant in blood and carry molecular markers from parental cells. For these reasons, EVs have gained much interest as biomarkers of disease. Among a number of different analytical methods that have been developed, surface plasmon resonance (SPR) stands out as one of the ideal techniques given its sensitivity, robustness, and ability to miniaturize. In this Review, we compare different SPR platforms for EV analysis, including conventional SPR, nanoplasmonic sensors, surface-enhanced Raman spectroscopy, and plasmonic-enhanced fluorescence. We discuss different surface chemistries used to capture targeted EVs and molecularly profile their proteins and RNAs. We also highlight these plasmonic platforms' clinical applications, including cancers, neurodegenerative diseases, and cardiovascular diseases. Finally, we discuss the future perspective of plasmonic sensing for EVs and their potentials for commercialization and clinical translation.

Indexed as

Extracellular VesiclesTranslational Research, BiomedicalBiomarkersSpectrum Analysis, RamanSurface Plasmon ResonanceBiomarkersbiomarkersbiosensingdiagnosticsextracellular vesiclesnanoplasmonicsplasmon-enhanced fluorescencesurface-enhanced Raman spectroscopysurface plasmon resonance

Identifiers

PMID33119256
PMCPMC8423498

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.