Evidence map›Paper›PMID 37243274›Full record

ArticleViruses2023

Transcription Factor Driven Gene Regulation in COVID-19 Patients.

Daniele Santoni, Nimisha Ghosh, Carlo Derelitto, Indrajit Saha

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. 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
1.4field-weighted citation impact, top 20% 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. Classification and regulatory interactions of key transcription factors in COVID-19.Frontiers in cellular and infection microbiology · 2025
    Review
  2. Article
  3. Long COVID: Molecular Mechanisms and Detection Techniques.International journal of molecular sciences · 2023
    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

4 authors at 3 institutions in 3 countries.

Daniele SantoniInstitute for System Analysis and Computer Science "Antonio Ruberti", National Research Council of Italy, 00185 Rome, Italy.ORCID 0000-0003-1898-5285
Nimisha GhoshFaculty of Mathematics, Informatics and Mechanics, University of Warsaw, 02-097 Warsaw, Poland.ORCID 0000-0002-0697-6368
Carlo DerelittoInstitute for System Analysis and Computer Science "Antonio Ruberti", National Research Council of Italy, 00185 Rome, Italy.ORCID 0000-0002-5240-8425
Indrajit SahaDepartment of Computer Science and Engineering, National Institute of Technical Teachers' Training and Research, Kolkata 700106, India.ORCID 0000-0001-9513-9707
National Research Council · ITNational Institute of Technical Teachers’ Training and Research · INSiksha O Anusandhan University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 and its many variants have caused a worldwide emergency. Host cells colonised by SARS-CoV-2 present a significantly different gene expression landscape. As expected, this is particularly true for genes that directly interact with virus proteins. Thus, understanding the role that transcription factors can play in driving differential regulation in patients affected by COVID-19 is a focal point to unveil virus infection. In this regard, we have identified 19 transcription factors which are predicted to target human proteins interacting with Spike glycoprotein of SARS-CoV-2. Transcriptomics RNA-Seq data derived from 13 human organs are used to analyse expression correlation between identified transcription factors and related target genes in both COVID-19 patients and healthy individuals. This resulted in the identification of transcription factors showing the most relevant impact in terms of most evident differential correlation between COVID-19 patients and healthy individuals. This analysis has also identified five organs such as the blood, heart, lung, nasopharynx and respiratory tract in which a major effect of differential regulation mediated by transcription factors is observed. These organs are also known to be affected by COVID-19, thereby providing consistency to our analysis. Furthermore, 31 key human genes differentially regulated by the transcription factors in the five organs are identified and the corresponding KEGG pathways and GO enrichment are also reported. Finally, the drugs targeting those 31 genes are also put forth. This in silico study explores the effects of transcription factors on human genes interacting with Spike glycoprotein of SARS-CoV-2 and intends to provide new insights to inhibit the virus infection.

Indexed as

COVID-19Gene Expression RegulationGlycoproteinsHumansSARS-CoV-2Transcription FactorsGlycoproteinsTranscription FactorsCOVID-19drug repurposingRNA-Seq expressionSARS-CoV-2transcription factors

Identifiers

PMID37243274
PMCPMC10223727
OpenAlexW4377103728

What Socratic 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 Socratic graph.