Evidence map›Paper›PMID 22916077›Full record

ArticleTheranostics2012

The MUC1 Ectodomain: A Novel and Efficient Target for Gold Nanoparticle Clustering and Vapor Nanobubble Generation.

Brian P Danysh, Pamela E Constantinou, Ekaterina Y Lukianova-Hleb, Dmitri O Lapotko, Daniel D Carson

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Hyperpolarized MRI with silicon micro and nanoparticles: Principles and applications.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2021
    Review
  3. Article
  4. 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

5 authors at 2 institutions in 1 country.

Brian P Danysh1. Department of Biochemistry and Cell Biology, Rice University, Houston, TX 77005, USA;
Pamela E Constantinou
Ekaterina Y Lukianova-Hleb
Dmitri O Lapotko
Daniel D Carson
Rice University · USBanner MD Anderson Cancer Center

Funding

Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROADDUS, RUSSELL R · 2003 to 2020
$32.0M
GLYCOPROTEIN MARKERS OF UTERINE RECEPTIVITYR01HD029963 · NICHD · UNIVERSITY OF DELAWARE · PI CARSON, DANIEL D. · 1999 to 2010
$2.1M
Cell Theranostics with Tunable Plasmonic NanobubblesR01GM094816 · NIGMS · RICE UNIVERSITY · PI LAPOTKO, DMITRI · 2010 to 2013
$1.1M
NCI NIH HHS P50 CA098258NICHD NIH HHS R01 HD029963NIGMS NIH HHS R01 GM094816
6 · The paper itself

Abstract

MUC1 is a large, heavily glycosylated transmembrane glycoprotein that is proposed to create a protective microenvironment in many adenocarcinomas. Here we compare MUC1 and the well studied cell surface receptor target, EGFR, as gold nanoparticle (AuNP) targets and their subsequent vapor nanobubble generation efficacy in the human epithelial cell line, HES. Although EGFR and MUC1 were both highly expressed in these cells, TEM and confocal images revealed MUC1 as a superior target for nanoparticle intracellular accumulation and clustering. The MUC1-targeted AuNP intracellular clusters also generated significantly larger vapor nanobubbles. Our results demonstrate the promising opportunities MUC1 offers to improve the efficacy of targeted nanoparticle based approaches.

Indexed as

EGFRMUC1Nanoparticle Clustering.Nanoparticle EndocytosisTargeted Gold NanoparticleVapor Nanobubble

Identifiers

PMID22916077
PMCPMC3425120
OpenAlexW2146237730

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.