Evidence map›Paper›PMID 31633695›Full record

ArticleJournal of visualized experiments : JoVE2019

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy.

Vivek Bhaskaran, Pierpaolo Peruzzi

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2019. 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
0.2field-weighted citation impact, top 53% 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, 2 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

2 authors at 2 institutions in 1 country.

Vivek BhaskaranDepartment of Neurosurgery, Brigham and Women's Hospital-Harvard Medical School.
Pierpaolo PeruzziDepartment of Neurosurgery, Brigham and Women's Hospital-Harvard Medical School; pperuzzi@bwh.harvard.edu.
Brigham and Women's Hospital · USHarvard University · US

Funding

Transitioning Early Career Neurosurgeons to Scientific IndependenceK12NS080223 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI ESKANDAR, EMAD N · 2012 to 2022
$9.2M
Characterization of a microRNA network regulating glioblastoma epigenetics, cell reprogramming and DNA repairK08NS101091 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI PERUZZI, PIER PAOLO · 2017 to 2021
$992k
NINDS NIH HHS K08 NS101091NINDS NIH HHS K12 NS080223
6 · The paper itself

Abstract

The biological relevance of microRNAs (miRNAs) in health and disease significantly relies on specific combinations of many simultaneously deregulated miRNAs rather than the action of a single miRNA. The characterization of these specific miRNAs modules is a fundamental step in maximizing their use in therapy. This is extremely relevant because their combinatorial attributes can be practically exploited. Described here is a method to define a specific miRNA signature relevant to the control of oncogenic chromatin repressors in glioblastoma. The approach first defines a general group of miRNAs that are deregulated in tumors in comparison to normal tissue. The analysis is further refined by differential culture conditions, underscoring a subgroup of miRNAs that are co-expressed simultaneously during specific cellular states. Finally, the miRNAs that satisfy these filters are combined into an artificial polycistronic transgenes, which is based on a scaffold of naturally existing miRNA clusters genes, then used for overexpression of these miRNA modules into receiving cells.

Indexed as

Gene Expression ProfilingGenetic TherapyGlioblastomaHumansMicroRNAsMicroRNAs

Identifiers

PMID31633695
PMCPMC7158918
OpenAlexW2978314058

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.