ReviewGene therapy2004
Optical imaging of in vivo gene expression: a critical assessment of the methodology and associated technologies.
Review in Gene therapy, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- A Critical Review of Electroporation as A Plasmid Delivery System in Mouse Skeletal Muscle.International journal of molecular sciences · 2019Review
- Physical non-viral gene delivery methods for tissue engineering.Annals of biomedical engineering · 2013Review
- Minicircle DNA electrotransfer for efficient tissue-targeted gene delivery.Gene therapy · 2013Article
- In vivo fluorescence imaging is well-suited for the monitoring of adenovirus directed transgene expression in living organisms.Molecular imaging and biology · 2010Article
- Multimodality imaging probes: design and challenges.Chemical reviews · 2010Review
- Visualization of in vivo electroporation-mediated transgene expression in experimental tumors by optical and magnetic resonance imaging.Gene therapy · 2009Article
- In Vivo Imaging of Far-red Fluorescent Proteins after DNA Electrotransfer to Muscle Tissue.Biological procedures online · 2009Article
- Hapten-derivatized nanoparticle targeting and imaging of gene expression by multimodality imaging systems.Cancer gene therapy · 2009Article
- Overexpression of PAI-1 prevents the development of abdominal aortic aneurysm in mice.Gene therapy · 2008Article
- Non-invasive molecular and functional imaging of cytosine deaminase and uracil phosphoribosyltransferase fused with red fluorescence protein.Acta oncologica (Stockholm, Sweden) · 2008Article
- Long term expression of bicistronic vector driven by the FGF-1 IRES in mouse muscle.BMC biotechnology · 2007Article
- Optical imaging of luminescence for in vivo quantification of gene electrotransfer in mouse muscle and knee.BMC biotechnology · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Following and quantifying the expression of reporter gene expression in vivo is very important to monitor the expression of therapeutic genes in targeted tissues in disease models and/or to assess the effectiveness of systems of gene therapy delivery. Gene expression of luminescent or fluorescent proteins can be detected directly on living animals by simply observing the associated optical signals by means of a cooled charged-coupled device camera. More accurate resolution can be obtained with more sophisticated technologies. Time-course and quasi-quantitative monitoring of the expression can be obtained on a given animal and followed on a large time window. The present paper describes the physical and technological methodologies and associated problems of in vivo optical imaging. Several examples of in vivo detection of gene delivery are described.
Indexed as
Identifiers
15454962What OpenQuestion holds
Registered trials
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.