Evidence map›Paper›PMID 31463505›Full record

ArticleThe Analyst2019

Multiplex isolation and profiling of extracellular vesicles using a microfluidic DICE device.

Yoon-Tae Kang, Emma Purcell, Thomas Hadlock, Ting-Wen Lo, Anusha Mutukuri, Shruti Jolly, Sunitha Nagrath

Open access · greenAbstract read
In one paragraph

Article in The Analyst, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Updated Methods of Extracellular Vesicles Isolation.Advances in experimental medicine and biology · 2023
    Article
  4. Review
  5. Review
  6. Review
  7. Article
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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

7 authors at 1 institution in 2 countries.

Yoon-Tae KangDepartment of Chemical Engineering and Biointerface Institutes, University of Michigan, 2800 Plymouth Road, NCRC B10-A184, Ann Arbor, MI 48109, USA. snagrath@umich.edu.ORCID http://orcid.org/0000-0003-1596-7815
Emma PurcellDepartment of Chemical Engineering and Biointerface Institutes, University of Michigan, 2800 Plymouth Road, NCRC B10-A184, Ann Arbor, MI 48109, USA. snagrath@umich.edu.ORCID http://orcid.org/0000-0003-4653-4756
Thomas HadlockDepartment of Chemical Engineering and Biointerface Institutes, University of Michigan, 2800 Plymouth Road, NCRC B10-A184, Ann Arbor, MI 48109, USA. snagrath@umich.edu.ORCID http://orcid.org/0000-0002-9123-4982
Ting-Wen LoDepartment of Chemical Engineering and Biointerface Institutes, University of Michigan, 2800 Plymouth Road, NCRC B10-A184, Ann Arbor, MI 48109, USA. snagrath@umich.edu.ORCID http://orcid.org/0000-0002-2127-2000
Anusha MutukuriDepartment of Chemical Engineering and Biointerface Institutes, University of Michigan, 2800 Plymouth Road, NCRC B10-A184, Ann Arbor, MI 48109, USA. snagrath@umich.edu.ORCID http://orcid.org/0000-0002-1260-2602
Shruti JollyRadiation Oncology, University of Hospital, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI 48109, USA.
Sunitha NagrathDepartment of Chemical Engineering and Biointerface Institutes, University of Michigan, 2800 Plymouth Road, NCRC B10-A184, Ann Arbor, MI 48109, USA. snagrath@umich.edu.ORCID http://orcid.org/0000-0002-1497-7977
University of Michigan · US

Funding

Label free microfluidic isolation, characterization and ex vivo expansion of CTCsR01CA208335 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAGRATH, SUNITHA · 2017 to 2021
$2.8M
High Throughput GO Chip isolation of Lung CTCs for Molecular Diagnosis and Drug TestingR33CA202867 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NAGRATH, SUNITHA, RAMNATH, NITHYA · 2016 to 2018
$1.0M
NCI NIH HHS R01 CA208335NCI NIH HHS R33 CA202867
6 · The paper itself

Abstract

Profiling of extracellular vesicles (EVs) is an emerging area in the field of liquid biopsies because of their innate significance in diseases and abundant information reflecting disease status. However, unbiased enrichment of EVs and thorough profiling of EVs is challenging. In this paper, we present a simple strategy to immobilize and analyze EVs for multiple markers on a single microfluidic device and perform differentiated immunostaining-based characterization of extracellular vesicles (DICE). This device, composed of four quadrants with a single inlet, captures biotinylated EVs efficiently and facilitates multiplexed immunostaining to profile their extracellular proteins, allowing for a multiplexed approach for non-invasive cancer diagnostics in the future. From controlled sample experiments using cancer cell line derived EVs and specific fluorescence staining with lipophilic dyes, we identified that the DICE device is capable of isolating biotinylated EVs with 84.4% immobilization efficiency. We extended our study to profile EVs of 9 clinical samples from non-small cell lung cancer (NSCLC) patients and healthy donors and found that the DICE device successfully facilitates immunofluorescent staining for both the NSCLC patients and the healthy control. This versatile and simple method to profile EVs could be extended to EVs of any biological origin, promoting discoveries of the role of EVs in disease diagnostics and monitoring.

Indexed as

Lab-On-A-Chip DevicesAntibodiesB7-H1 AntigenBiomarkers, TumorBiotinCarcinoma, Non-Small-Cell LungErbB ReceptorsExtracellular VesiclesImmunohistochemistryLung NeoplasmsMicrofluidic Analytical TechniquesProof of Concept StudyTetraspanin 29VimentinAntibodiesB7-H1 AntigenBiomarkers, TumorBiotinCD274 protein, humanCD9 protein, humanErbB ReceptorsTetraspanin 29Vimentin

Identifiers

PMID31463505
PMCPMC6774196
OpenAlexW2969260940

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.