Evidence map›Paper›PMID 33596381›Full record

ArticleAnalytical chemistry2021

High-Throughput Simultaneous mRNA Profiling Using nCounter Technology Demonstrates That Extracellular Vesicles Contain Different mRNA Transcripts Than Their Parental Prostate Cancer Cells.

Liang Dong, Chung-Ying Huang, Eric J Johnson, Lei Yang, Richard C Zieren, Kengo Horie, Chi-Ju Kim, Sarah Warren, Sarah R Amend, Wei Xue and 1 more

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 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

11 authors at 3 institutions in 5 countries.

Liang DongThe Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.ORCID 0000-0001-7689-3237
Chung-Ying HuangNanoString Technologies, Inc., Seattle, Washington 98109, United States.
Eric J JohnsonNanoString Technologies, Inc., Seattle, Washington 98109, United States.
Lei YangNanoString Technologies, Inc., Seattle, Washington 98109, United States.
Richard C ZierenThe Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.ORCID 0000-0003-1785-1496
Kengo HorieThe Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
Chi-Ju KimThe Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
Sarah WarrenNanoString Technologies, Inc., Seattle, Washington 98109, United States.
Sarah R AmendThe Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
Wei XueDepartment of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200072, China.
Kenneth J PientaThe Brady Urological Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland 21218, United States.
Johns Hopkins University · USNanostring Technologies (United States) · USShanghai Jiao Tong University · CN

Funding

Tumor microvesicle-mediated modulation of the bone microenvironmentP01CA093900 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J. · 2004 to 2024
$29.6M
TRANS_NETWORK PROJECTSU54CA143803 · NCI · PRINCETON UNIVERSITY · PI GETZENBERG, ROBERT H. · 2009 to 2013
$14.2M
Mechanisms That Regulate Dormancy of Disseminated Tumor Cells in the Bone MarrowU54CA163124 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHIOZAWA, YUSUKE · 2011 to 2015
$3.0M
Reactive Stroma and Tumor Associated Macrophages in Prostate Cancer ProgressionU01CA143055 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PIENTA, KENNETH J., ROWLEY, DAVID R · 2010 to 2014
$2.7M
NCI NIH HHS P01 CA093900NCI NIH HHS U01 CA143055NCI NIH HHS U54 CA143803NCI NIH HHS U54 CA163124
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are nano-sized lipid bilayer encapsulated particles with a molecular cargo that appears to play important roles within the human body, such as in cell-to-cell communication. Unraveling the composition of EV cargos remains one of the most fundamental steps toward understanding the role of EVs in intercellular communication and the discovery of new biomarkers. One of the unmet needs in this field is the lack of a robust, sensitive, and multiplexed method for EV mRNA profiling. We established a new protocol using the NanoString low RNA input nCounter assay by which the targeted mRNA transcripts in EVs can be efficiently and specifically amplified and then assayed for 770 mRNAs in one reaction. Prostate cancer cells with epithelial (PC3-Epi) or mesenchymal (PC3-EMT) phenotypes and their progeny EVs were analyzed by the same panel. Among these mRNAs, 157 were detected in PC3-Epi EVs and 564 were detected in PC3-EMT EVs. NOTCH1 was the most significantly abundant mRNA transcripts in PC3-EMT EVs compared to PC3-Epi EVs. Our results demonstrated that when cells undergo epithelial-to-mesenchymal transition (EMT), a more active loading of cancer progression-related mRNA transcripts may occur. The mRNA cargos of EVs derived from mesenchymal prostate cancer cells may contribute to the pro-EMT function. We found that mRNA transcripts are different in progeny EVs compared to parental cells. EV cargos are not completely reflective of their cell origin, and the underlying mechanism of cargo sorting is complicated and needs to be further elucidated.

Indexed as

Extracellular VesiclesProstatic NeoplasmsHumansMaleParentsRNA, MessengerTechnologyRNA, Messenger

Identifiers

PMID33596381
PMCPMC7944479
OpenAlexW3129793606

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.