Evidence map›Paper›PMID 42027435›Full record

ArticleTanaffos2025

Introducing Critical Genes Related to X-ray Radiation in Human Bronchial Epithelial BEAS-2B Cells.

Mitra Rezaei, Farideh Razi, Alireza Ahmadzadeh, Fatemeh Bandarian, Babak Arjmand, Mostafa Rezaei-Tavirani

Abstract read
In one paragraph

Article in Tanaffos, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Mitra RezaeiClinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Farideh RaziDiabetes Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Alireza AhmadzadehLaser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Fatemeh BandarianEndocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Babak ArjmandCell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, System Biology Institute, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: X-ray radiation application in radiology is a challenging subject for patients. Understanding the molecular events triggered by X-ray radiation can provide a suitable protocol for maintaining patient health. The primary aim of this study is to explore crucial affected genes in this regard. Materials and Methods: Extraction and validation of data from the Gene Expression Omnibus (GEO) database is the first step in identifying significantly differentially expressed genes (DEGs). Analysis of gene expression profiles of human bronchial epithelial BEAS-2B cells through a directed protein-protein interaction (PPI) network was used to identify the key targeted genes affected by X-ray radiation. Results: Results of the analyzed directed PPI networks, based on expression, activation, inhibition, and reaction actions, and considering outdegree values, showed that IL1B, CCND1, RAC2, NDC80, and MIB1 are the crucial genes targeted by X-ray. Conclusion: In conclusion, upregulation of IL1B, RAC2, and CCND1, which are associated with cellular damages and downregulation of NDC80 and MIB1, which protect the treated cells, were pointed out as the major molecular events in response to X-ray radiation.

Indexed as

Gene expressionHumanLungNetwork analysisX-ray radiation

Identifiers

PMID42027435
PMCPMC13102291

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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.