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Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia

Acutemonocytic leukemia (AMoL) is a distinct subtype of acute myeloid leukemia (AML) with poor prognosis. However, the molecular mechanisms and key regulators involved in the global regulation of gene expression levels in AMoL are poorly understood. In order to elucidate the role of microRNAs (miRNA...

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Autores principales: Lin, Xiao-Cong, Yang, Qin, Fu, Wei-Yu, Lan, Liu-Bo, Ding, Hang, Zhang, Yu-Ming, Li, Ning, Zhang, Hai-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709554/
https://www.ncbi.nlm.nih.gov/pubmed/33281961
http://dx.doi.org/10.3892/ol.2020.12311
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author Lin, Xiao-Cong
Yang, Qin
Fu, Wei-Yu
Lan, Liu-Bo
Ding, Hang
Zhang, Yu-Ming
Li, Ning
Zhang, Hai-Tao
author_facet Lin, Xiao-Cong
Yang, Qin
Fu, Wei-Yu
Lan, Liu-Bo
Ding, Hang
Zhang, Yu-Ming
Li, Ning
Zhang, Hai-Tao
author_sort Lin, Xiao-Cong
collection PubMed
description Acutemonocytic leukemia (AMoL) is a distinct subtype of acute myeloid leukemia (AML) with poor prognosis. However, the molecular mechanisms and key regulators involved in the global regulation of gene expression levels in AMoL are poorly understood. In order to elucidate the role of microRNAs (miRNAs/miRs) and transcription factors (TFs) in AMoL pathogenesis at the network level, miRNA and TF expression level profiles were systematically analyzed by miRNA sequencing and TF array, respectively; this identified 285 differentially expressed miRNAs and 139 differentially expressed TFs in AMoL samples compared with controls. By combining expression level profile data and bioinformatics tools available for predicting TF and miRNA targets, a comprehensive AMoL-specific miRNA-TF-mediated regulatory network was constructed. A total of 26 miRNAs and 23 TFs were identified as hub nodes in the network. Among these hubs, miR-29b-3p, MYC, TP53 and NFKB1 were determined to be potential AMoL regulators, and were subsequently extracted to construct sub-networks. A hypothetical pathway model was also proposed for miR-29b-3p to reveal the potential co-regulatory mechanisms of miR-29b-3p, MYC, TP53 and NFKB1 in AMoL. The present study provided an effective approach to discover critical regulators via a comprehensive regulatory network in AMoL, in addition to enhancing understanding of the pathogenesis of this disease at the molecular level.
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spelling pubmed-77095542020-12-03 Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia Lin, Xiao-Cong Yang, Qin Fu, Wei-Yu Lan, Liu-Bo Ding, Hang Zhang, Yu-Ming Li, Ning Zhang, Hai-Tao Oncol Lett Articles Acutemonocytic leukemia (AMoL) is a distinct subtype of acute myeloid leukemia (AML) with poor prognosis. However, the molecular mechanisms and key regulators involved in the global regulation of gene expression levels in AMoL are poorly understood. In order to elucidate the role of microRNAs (miRNAs/miRs) and transcription factors (TFs) in AMoL pathogenesis at the network level, miRNA and TF expression level profiles were systematically analyzed by miRNA sequencing and TF array, respectively; this identified 285 differentially expressed miRNAs and 139 differentially expressed TFs in AMoL samples compared with controls. By combining expression level profile data and bioinformatics tools available for predicting TF and miRNA targets, a comprehensive AMoL-specific miRNA-TF-mediated regulatory network was constructed. A total of 26 miRNAs and 23 TFs were identified as hub nodes in the network. Among these hubs, miR-29b-3p, MYC, TP53 and NFKB1 were determined to be potential AMoL regulators, and were subsequently extracted to construct sub-networks. A hypothetical pathway model was also proposed for miR-29b-3p to reveal the potential co-regulatory mechanisms of miR-29b-3p, MYC, TP53 and NFKB1 in AMoL. The present study provided an effective approach to discover critical regulators via a comprehensive regulatory network in AMoL, in addition to enhancing understanding of the pathogenesis of this disease at the molecular level. D.A. Spandidos 2021-01 2020-11-18 /pmc/articles/PMC7709554/ /pubmed/33281961 http://dx.doi.org/10.3892/ol.2020.12311 Text en Copyright: © Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Lin, Xiao-Cong
Yang, Qin
Fu, Wei-Yu
Lan, Liu-Bo
Ding, Hang
Zhang, Yu-Ming
Li, Ning
Zhang, Hai-Tao
Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia
title Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia
title_full Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia
title_fullStr Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia
title_full_unstemmed Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia
title_short Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia
title_sort integrated analysis of microrna and transcription factors in the bone marrow of patients with acute monocytic leukemia
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709554/
https://www.ncbi.nlm.nih.gov/pubmed/33281961
http://dx.doi.org/10.3892/ol.2020.12311
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