Evidence map›Paper›PMID 27013864›Full record

ReviewDrug design, development and therapy2016

The interplay of post-translational modification and gene therapy.

Victor Chukwudi Osamor, Shalom N Chinedu, Dominic E Azuh, Emeka Joshua Iweala, Olubanke Olujoke Ogunlana

Open access · goldAbstract readReview
In one paragraph

Review in Drug design, development and therapy, 2016. 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
0.6field-weighted citation impact, top 23% 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, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Roles of Krüppel-like factor 5 in kidney disease.Journal of cellular and molecular medicine · 2021
    Review
  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

5 authors at 1 institution in 1 country.

Victor Chukwudi OsamorCovenant University Bioinformatics Research (CUBRe) Unit, Department of Computer and Information Sciences, College of Science and Technology (CST), Covenant University, Ota, Ogun State, Nigeria; Institute of Informatics (Computational biology and Bioinformatics), Faculty of Mathematics, Informatics and Mechanics, University of Warsaw (Uniwersytet Warszawski), Warszawa, Poland; Covenant University Public Health and Well-being Research Group (CUPHWERG), Covenant University, Canaan Land, Nigeria.
Shalom N ChineduCovenant University Public Health and Well-being Research Group (CUPHWERG), Covenant University, Canaan Land, Nigeria; Biochemistry and Molecular Biology Unit, Department of Biological Sciences, College of Science and Technology, Covenant University, Canaan Land, Nigeria.
Dominic E AzuhCovenant University Public Health and Well-being Research Group (CUPHWERG), Covenant University, Canaan Land, Nigeria; Department of Economics and Development Studies, Covenant University, Ota, Ogun State, Nigeria.
Emeka Joshua IwealaCovenant University Public Health and Well-being Research Group (CUPHWERG), Covenant University, Canaan Land, Nigeria; Biochemistry and Molecular Biology Unit, Department of Biological Sciences, College of Science and Technology, Covenant University, Canaan Land, Nigeria.
Olubanke Olujoke OgunlanaCovenant University Public Health and Well-being Research Group (CUPHWERG), Covenant University, Canaan Land, Nigeria; Biochemistry and Molecular Biology Unit, Department of Biological Sciences, College of Science and Technology, Covenant University, Canaan Land, Nigeria.
Covenant University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several proteins interact either to activate or repress the expression of other genes during transcription. Based on the impact of these activities, the proteins can be classified into readers, modifier writers, and modifier erasers depending on whether histone marks are read, added, or removed, respectively, from a specific amino acid. Transcription is controlled by dynamic epigenetic marks with serious health implications in certain complex diseases, whose understanding may be useful in gene therapy. This work highlights traditional and current advances in post-translational modifications with relevance to gene therapy delivery. We report that enhanced understanding of epigenetic machinery provides clues to functional implication of certain genes/gene products and may facilitate transition toward revision of our clinical treatment procedure with effective fortification of gene therapy delivery.

Indexed as

Genetic TherapyProtein Processing, Post-TranslationalEpigenesis, GeneticHistonesHumansProteinsHistonesProteinsepigeneticsgene therapyhistonemethylationpost-translational modification

Identifiers

PMID27013864
PMCPMC4778776
OpenAlexW2289359987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.