Evidence map›Paper›PMID 33874871›Full record

ReviewCurrent gene therapy2022

Prospects of Non-Coding Elements in Genomic DNA Based Gene Therapy.

S P Simna, Zongchao Han

Open access · greenAbstract readReview
In one paragraph

Review in Current gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Cell-Free DNA-Based Theranostics for Inflammatory Disorders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Review
  3. Review
  4. Transcriptomic analysis of the immune response toMolecular therapy. Nucleic acids · 2025
    Article
  5. Article
  6. 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

2 authors at 1 institution in 1 country.

S P SimnaDepartment of Ophthalmology, the University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA.
Zongchao HanDepartment of Ophthalmology, the University of North Carolina at Chapel Hill, Chapel Hill, NC27599, USA.
University of North Carolina at Chapel Hill · US

Funding

Targeting Retinitis Pigmentosa Using Nanoparticle-Mediated Delivery of Genomic DNAR01EY026564 · NEI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAN, ZONGCHAO · 2016 to 2020
$1.9M
BrightFocus Foundation M2019063Edward N. & Della L. Thome Memorial Foundation 138289NEI NIH HHS R01 EY026564Pfizer-NCBiotech Gene Therapy Fellowship Program, NCBC 2020-GTF-6902
6 · The paper itself

Abstract

Gene therapy has made significant development since the commencement of the first clinical trials a few decades ago and has remained a dynamic area of research regardless of obstacles such as immune response and insertional mutagenesis. Progression in various technologies like next-generation sequencing (NGS) and nanotechnology has established the importance of non-- coding segments of a genome, thereby taking gene therapy to the next level. In this review, we have summarized the importance of non-coding elements, highlighting the advantages of using full- length genomic DNA loci (gDNA) compared to complementary DNA (cDNA) or minigene, currently used in gene therapy. The focus of this review is to provide an overview of the advances and the future of potential use of gDNA loci in gene therapy, expanding the therapeutic repertoire in molecular medicine.

Indexed as

DNAGenomeDNA, ComplementaryGenetic TherapyHigh-Throughput Nucleotide SequencingSequence Analysis, DNADNADNA, ComplementarycDNAgene expressionGene therapygenomic DNAnon-coding DNApolygenic diseases

Identifiers

PMID33874871
PMCPMC9335901
OpenAlexW3154989825

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.