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Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis

The runt-related transcription factor 3 (RUNX3) regulates the differentiation of monocytes and their response to inflammation. However, the transcriptomic context of RUNX3 expression in blood monocytes remains poorly understood. We aim to learn about RUNX3 from its relationships within transcriptome...

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Autores principales: Dybska, Emilia, Nowak, Jan Krzysztof, Walkowiak, Jarosław
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296263/
https://www.ncbi.nlm.nih.gov/pubmed/37371794
http://dx.doi.org/10.3390/biomedicines11061698
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author Dybska, Emilia
Nowak, Jan Krzysztof
Walkowiak, Jarosław
author_facet Dybska, Emilia
Nowak, Jan Krzysztof
Walkowiak, Jarosław
author_sort Dybska, Emilia
collection PubMed
description The runt-related transcription factor 3 (RUNX3) regulates the differentiation of monocytes and their response to inflammation. However, the transcriptomic context of RUNX3 expression in blood monocytes remains poorly understood. We aim to learn about RUNX3 from its relationships within transcriptomes of bulk CD14+ cells in adults. This study used immunomagnetically sorted CD14+ cell gene expression microarray data from the Multi-Ethnic Study of Atherosclerosis (MESA, n = 1202, GSE56047) and the Correlated Expression and Disease Association Research (CEDAR, n = 281, E-MTAB-6667) cohorts. The data were preprocessed, subjected to RUNX3-focused correlation analyses and random forest modeling, followed by the gene ontology analysis. Immunity-focused differential ratio analysis with intermediary inference (DRAIMI) was used to integrate the data with protein–protein interaction network. Correlation analysis of RUNX3 expression revealed the strongest positive association for EVL (r(mean) = 0.75, p(FDR-MESA) = 5.37 × 10(−140), p(FDR-CEDAR) = 5.52 × 10(−80)), ARHGAP17 (r(mean) = 0.74, p(FDR-MESA) = 1.13 × 10(−169), p(FDR-CEDAR) = 9.20 × 10(−59)), DNMT1 (r(mean) = 0.74, p(FDR-MESA) = 1.10 × 10(−169), p(FDR-CEDAR) = 1.67 × 10(−58)), and CLEC16A (r(mean) = 0.72, p(FDR-MESA) = 3.51 × 10(−154), p(FDR-CEDAR) = 2.27 × 10(−55)), while the top negative correlates were C2ORF76 (r(mean) = −0.57, p(FDR-MESA) = 8.70 × 10(−94), p(FDR-CEDAR) = 1.31 × 10(−25)) and TBC1D7 (r(mean) = −0.55, p(FDR-MESA) = 1.36 × 10(−69), p(FDR-CEDAR) = 7.81 × 10(−30)). The RUNX3-associated transcriptome signature was involved in mRNA metabolism, signal transduction, and the organization of cytoskeleton, chromosomes, and chromatin, which may all accompany mitosis. Transcriptomic context of RUNX3 expression in monocytes hints at its relationship with cell growth, shape maintenance, and aspects of the immune response, including tyrosine kinases.
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spelling pubmed-102962632023-06-28 Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis Dybska, Emilia Nowak, Jan Krzysztof Walkowiak, Jarosław Biomedicines Article The runt-related transcription factor 3 (RUNX3) regulates the differentiation of monocytes and their response to inflammation. However, the transcriptomic context of RUNX3 expression in blood monocytes remains poorly understood. We aim to learn about RUNX3 from its relationships within transcriptomes of bulk CD14+ cells in adults. This study used immunomagnetically sorted CD14+ cell gene expression microarray data from the Multi-Ethnic Study of Atherosclerosis (MESA, n = 1202, GSE56047) and the Correlated Expression and Disease Association Research (CEDAR, n = 281, E-MTAB-6667) cohorts. The data were preprocessed, subjected to RUNX3-focused correlation analyses and random forest modeling, followed by the gene ontology analysis. Immunity-focused differential ratio analysis with intermediary inference (DRAIMI) was used to integrate the data with protein–protein interaction network. Correlation analysis of RUNX3 expression revealed the strongest positive association for EVL (r(mean) = 0.75, p(FDR-MESA) = 5.37 × 10(−140), p(FDR-CEDAR) = 5.52 × 10(−80)), ARHGAP17 (r(mean) = 0.74, p(FDR-MESA) = 1.13 × 10(−169), p(FDR-CEDAR) = 9.20 × 10(−59)), DNMT1 (r(mean) = 0.74, p(FDR-MESA) = 1.10 × 10(−169), p(FDR-CEDAR) = 1.67 × 10(−58)), and CLEC16A (r(mean) = 0.72, p(FDR-MESA) = 3.51 × 10(−154), p(FDR-CEDAR) = 2.27 × 10(−55)), while the top negative correlates were C2ORF76 (r(mean) = −0.57, p(FDR-MESA) = 8.70 × 10(−94), p(FDR-CEDAR) = 1.31 × 10(−25)) and TBC1D7 (r(mean) = −0.55, p(FDR-MESA) = 1.36 × 10(−69), p(FDR-CEDAR) = 7.81 × 10(−30)). The RUNX3-associated transcriptome signature was involved in mRNA metabolism, signal transduction, and the organization of cytoskeleton, chromosomes, and chromatin, which may all accompany mitosis. Transcriptomic context of RUNX3 expression in monocytes hints at its relationship with cell growth, shape maintenance, and aspects of the immune response, including tyrosine kinases. MDPI 2023-06-13 /pmc/articles/PMC10296263/ /pubmed/37371794 http://dx.doi.org/10.3390/biomedicines11061698 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Dybska, Emilia
Nowak, Jan Krzysztof
Walkowiak, Jarosław
Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis
title Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis
title_full Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis
title_fullStr Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis
title_full_unstemmed Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis
title_short Transcriptomic Context of RUNX3 Expression in Monocytes: A Cross-Sectional Analysis
title_sort transcriptomic context of runx3 expression in monocytes: a cross-sectional analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296263/
https://www.ncbi.nlm.nih.gov/pubmed/37371794
http://dx.doi.org/10.3390/biomedicines11061698
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