Evidence map›Paper›PMID 31673088›Full record

ArticleScientific reports2019

C. elegans protein interaction network analysis probes RNAi validated pro-longevity effect of nhr-6, a human homolog of tumor suppressor Nr4a1.

Bashir A Akhoon, Shishir K Gupta, Sudeep Tiwari, Laxmi Rathor, Aakanksha Pant, Nivedita Singh, Shailendra K Gupta, Thomas Dandekar, Rakesh Pandey

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2019. 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
0.6field-weighted citation impact, top 37% 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, 7 citations in OpenAlex.

  1. Senescence of T cells and organ aging.Inflammation and regeneration · 2026
    Review
  2. Alveolar Regeneration in COVID-19 Patients: A Network Perspective.International journal of molecular sciences · 2021
    Review
  3. 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

9 authors at 4 institutions in 2 countries.

Bashir A AkhoonMicrobial Technology and Nematology Department, CSIR - Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India.
Shishir K GuptaDepartment of Bioinformatics, Biocenter, University of Würzburg, Wuerzburg, 97074, Germany.
Sudeep TiwariMicrobial Technology and Nematology Department, CSIR - Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India.
Laxmi RathorMicrobial Technology and Nematology Department, CSIR - Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India.
Aakanksha PantMicrobial Technology and Nematology Department, CSIR - Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India.
Nivedita SinghDepartment of Bioinformatics, CSIR-Indian Institute of Toxicology Research, Lucknow, 226015, India.
Shailendra K GuptaDepartment of Systems Biology and Bioinformatics, University of Rostock, Rostock, 18051, Germany.
Thomas DandekarDepartment of Bioinformatics, Biocenter, University of Würzburg, Wuerzburg, 97074, Germany. dandekar@biozentrum.uni-wuerzburg.de.ORCID http://orcid.org/0000-0003-1886-7625
Rakesh PandeyMicrobial Technology and Nematology Department, CSIR - Central Institute of Medicinal and Aromatic Plants, Lucknow, 226015, India. r.pandey@cimap.res.in.
Central Institute of Medicinal and Aromatic Plants · INUniversity of Würzburg · DEEuropean Molecular Biology Organization · DEIndian Institute of Toxicology Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interaction (PPI) studies are gaining momentum these days due to the plethora of various high-throughput experimental methods available for detecting PPIs. Proteins create complexes and networks by functioning in harmony with other proteins and here in silico network biology hold the promise to reveal new functionality of genes as it is very difficult and laborious to carry out experimental high-throughput genetic screens in living organisms. We demonstrate this approach by computationally screening C. elegans conserved homologs of already reported human tumor suppressor and aging associated genes. We select by this nhr-6, vab-3 and gst-23 as predicted longevity genes for RNAi screen. The RNAi results demonstrated the pro-longevity effect of these genes. Nuclear hormone receptor nhr-6 RNAi inhibition resulted in a C. elegans phenotype of 23.46% lifespan reduction. Moreover, we show that nhr-6 regulates oxidative stress resistance in worms and does not affect the feeding behavior of worms. These findings imply the potential of nhr-6 as a common therapeutic target for aging and cancer ailments, stressing the power of in silico PPI network analysis coupled with RNAi screens to describe gene function.

Indexed as

Genes, Tumor SuppressorMolecular ProbesRNA InterferenceAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsHumansNuclear Receptor Subfamily 4, Group A, Member 1Protein Interaction MapsCaenorhabditis elegans ProteinsMolecular ProbesNR4A1 protein, humanNuclear Receptor Subfamily 4, Group A, Member 1

Identifiers

PMID31673088
PMCPMC6823380
OpenAlexW2982549421

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.