Evidence map›Paper›PMID 24667742›Full record

ArticleThe Analyst2014

Liquid crystal droplet-based amplification of microvesicles that are shed by mammalian cells.

Lie Na Tan, Gregory J Wiepz, Daniel S Miller, Eric V Shusta, Nicholas L Abbott

Abstract read
In one paragraph

Article in The Analyst, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

1 citing paper in PubMed, 15 citations in OpenAlex.

  1. Article
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

5 authors at 1 institution in 1 country.

Lie Na TanDepartment of Chemical and Biological Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, Wisconsin 53706, USA. abbott@engr.wisc.edu.
Gregory J Wiepz
Daniel S Miller
Eric V Shusta
Nicholas L Abbott
University of Wisconsin–Madison · US

Funding

BIOMOLECULAR ANALYSIS USING LIQUID CRYSTALSR01CA108467 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ABBOTT, NICHOLAS L · 2004 to 2013
$3.8M
Rapid Analytics for Endotoxin using Liquid Crystalline DropletsR21AI092004 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI ABBOTT, NICHOLAS L · 2011 to 2012
$401k
NCI NIH HHS CA108467NCI NIH HHS R01 CA108467NIAID NIH HHS AI092004NIAID NIH HHS R21 AI092004
6 · The paper itself

Abstract

Membrane-derived microvesicles (MVs) shed by cells are being investigated for their role in intercellular communication and as potential biomarkers of disease, but facile and sensitive methods for their analysis do not exist. Here we demonstrate new principles for analysis of MVs that use micrometer-sized droplets of liquid crystals (LCs) to amplify MVs that are selectively captured via antibody-mediated interactions. The influence of the MVs on the micrometer-sized LC droplets is shown to be readily quantified via use of flow cytometry. The methodology was developed using MVs shed by epidermoid carcinoma A431 cells that contain epidermal growth factor receptor (EGFR) as an important and representative example of MVs containing signaling proteins that play a central role in cancer. The LC droplets were found to be sensitive to 10(6) MVs containing EGFR (relative to controls using isotype control antibody) and to possess a dynamic range of response across several orders of magnitude. Because the 100 nm-sized MVs captured via EGFR generate an optical response in the micrometer-sized LC droplets that can be readily detected by flow cytometry in light scattering mode, the approach possesses significant advantages over direct detection of MVs by flow cytometry. The LC droplets are also substantially more sensitive than techniques such as immunoblotting because the lipid-component of the MVs serves to amplify the antibody-mediated capture of the target proteins in the MVs. Other merits of the approach are defined and discussed in the paper.

Indexed as

Antigen-Antibody ReactionsCell Line, TumorErbB ReceptorsFlow CytometryHumansLipidsLiquid CrystalsMicroscopy, Atomic ForceNanoparticlesErbB ReceptorsLipids

Identifiers

PMID24667742
PMCPMC4212983
OpenAlexW1993771385

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.