Evidence map›Paper›PMID 27442530›Full record

ArticlePloS one2016

Artificial MicroRNAs as Novel Secreted Reporters for Cell Monitoring in Living Subjects.

John A Ronald, Aloma L D'Souza, Hui-Yen Chuang, Sanjiv Sam Gambhir

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

4 authors at 1 institution in 2 countries.

John A RonaldMolecular Imaging Program at Stanford, Stanford University, Stanford, California, United States of America.
Aloma L D'SouzaMolecular Imaging Program at Stanford, Stanford University, Stanford, California, United States of America.
Hui-Yen ChuangMolecular Imaging Program at Stanford, Stanford University, Stanford, California, United States of America.
Sanjiv Sam GambhirMolecular Imaging Program at Stanford, Stanford University, Stanford, California, United States of America.
Stanford University · US

Funding

Small Animal ImagingP50CA114747 · NCI · STANFORD UNIVERSITY · PI RAO, JIANGHONG · 2005 to 2014
$18.2M
Reporter Imaging of Protein-Protein InteractionsR01CA082214 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GAMBHIR, SANJIV S · 1999 to 2019
$5.9M
Imaging Cytolytic T Cells in Cancer Patients Using PET Reporter Genes/Reporter PrR01CA135486 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2008 to 2012
$1.3M
NCI NIH HHS P50 CA114747NCI NIH HHS R01 CA082214NCI NIH HHS R01 CA135486
6 · The paper itself

Abstract

Reporter genes are powerful technologies that can be used to directly inform on the fate of transplanted cells in living subjects. Imaging reporter genes are often employed to quantify cell number, location(s), and viability with various imaging modalities. To complement this, reporters that are secreted from cells can provide a low-cost, in vitro diagnostic test to monitor overall cell viability at relatively high frequency without knowing the locations of all cells. Whereas protein-based secretable reporters have been developed, an RNA-based reporter detectable with amplification inherent PCR-based assays has not been previously described. MicroRNAs (miRNAs) are short non-coding RNAs (18-22 nt) that regulate mRNA translation and are being explored as relatively stable blood-based disease biomarkers. We developed an artificial miRNA-based secreted reporter, called Sec-miR, utilizing a coding sequence that is not expressed endogenously and does not have any known vertebrate target. Sec-miR was detectable in both the cells and culture media of transiently transfected cells. Cells stably expressing Sec-miR also reliably secreted it into the culture media. Mice implanted with parental HeLa cells or HeLa cells expressing both Sec-miR and the bioluminescence imaging (BLI) reporter gene Firefly luciferase (FLuc) were monitored over time for tumor volume, FLuc signal via BLI, and blood levels of Sec-miR. Significantly (p<0.05) higher Sec-miR was found in the blood of mice bearing Sec-miR-expressing tumors compared to parental cell tumors at 21 and 28 days after implantation. Importantly, blood Sec-miR reporter levels after day 21 showed a trend towards correlation with tumor volume (R2 = 0.6090; p = 0.0671) and significantly correlated with FLuc signal (R2 = 0.7067; p<0.05). Finally, we could significantly (p<0.01) amplify Sec-miR secretion into the cell media by chaining together multiple Sec-miR copies (4 instead of 1 or 2) within an expression cassette. Overall, we show that a novel complement of BLI together with a unique Sec-miR reporter adds an in vitro RNA-based diagnostic to enhance the monitoring of transplanted cells. While Sec-miR was not as sensitive as BLI for monitoring cell number, it may be more sensitive than clinically-relevant positron emission tomography (PET) reporter assays. Future work will focus on improving cell detectability via improved secretion of Sec-miR reporters from cells and more sensitive detection platforms, as well as, exploring other miRNA sequences to allow multiplexed monitoring of more than one cell population at a time. Continued development may lead to more refined and precise monitoring of cell-based therapies.

Indexed as

Genes, ReporterAnimalsCell TrackingHeLa CellsHumansImaging, Three-DimensionalMiceMicroRNAsTransfectionMicroRNAs

Identifiers

PMID27442530
PMCPMC4956193
OpenAlexW2505668485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.