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Construction of a transcription factor-long non-coding RNA-microRNA network for the identification of key regulators in lung adenocarcinoma and lung squamous cell carcinoma

The interactions of microRNAs (miRNAs), transcription factors (TFs) and their common target long non-coding RNAs (lncRNAs) can lead to the production of TF-miRNA-lncRNA (TML) network motifs. These motifs are functional regulators that perform a wide range of biological processes, such as carcinogene... Full description

Journal Title: Molecular Medicine Reports 2019, Vol.19(2), pp.1101-1109
Main Author: Zhao, Shuai
Other Authors: Chen, Hong , Ding, Beichen , Li, Jianing , Lv, Fuzhen , Han, Kaiyu , Zhou, Dan , Yu, Baiquan , Yu, Yao , Zhang, Wei
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 17912997 ; E-ISSN: 17913004 ; DOI: 10.3892/mmr.2018.9769
Link: http://search.proquest.com/docview/2166672449/?pq-origsite=primo
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title: Construction of a transcription factor-long non-coding RNA-microRNA network for the identification of key regulators in lung adenocarcinoma and lung squamous cell carcinoma
format: Article
creator:
  • Zhao, Shuai
  • Chen, Hong
  • Ding, Beichen
  • Li, Jianing
  • Lv, Fuzhen
  • Han, Kaiyu
  • Zhou, Dan
  • Yu, Baiquan
  • Yu, Yao
  • Zhang, Wei
subjects:
  • Gene Expression
  • Medical Prognosis
  • Lung Cancer
  • Studies
  • Cancer Therapies
  • Lung Cancer
  • Binding Sites
  • Drugs
  • Squamous Cell Carcinoma
  • Adenocarcinoma
  • Biomarkers
  • Transcription Factors
  • Genomes
  • Non-Coding RNA
  • Computer Applications
  • Carcinogenesis
  • Lung Carcinoma
  • Therapeutic Applications
  • Mirna
  • Long Non-Coding RNA
ispartof: Molecular Medicine Reports, 2019, Vol.19(2), pp.1101-1109
description: The interactions of microRNAs (miRNAs), transcription factors (TFs) and their common target long non-coding RNAs (lncRNAs) can lead to the production of TF-miRNA-lncRNA (TML) network motifs. These motifs are functional regulators that perform a wide range of biological processes, such as carcinogenesis. However, TML network motifs have not been systematically identified, and their roles in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) are largely unknown. In the present study, a computational integration approach was performed using multiple sources in order to construct a global TML network for LUAD and LUSC. The analysis revealed several dysregulated TML network motifs, which were common between the two lung cancer subtypes or specific to a single cancer subtype. In addition, functional analysis further indicated that the TML network motifs may potentially serve as putative biomarkers in LUAD and LUSC. The associations between drug treatments and dysregulated TML network...
language: eng
source:
identifier: ISSN: 17912997 ; E-ISSN: 17913004 ; DOI: 10.3892/mmr.2018.9769
fulltext: fulltext
issn:
  • 17912997
  • 1791-2997
  • 17913004
  • 1791-3004
url: Link


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titleConstruction of a transcription factor-long non-coding RNA-microRNA network for the identification of key regulators in lung adenocarcinoma and lung squamous cell carcinoma
creatorZhao, Shuai ; Chen, Hong ; Ding, Beichen ; Li, Jianing ; Lv, Fuzhen ; Han, Kaiyu ; Zhou, Dan ; Yu, Baiquan ; Yu, Yao ; Zhang, Wei
ispartofMolecular Medicine Reports, 2019, Vol.19(2), pp.1101-1109
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subjectGene Expression ; Medical Prognosis ; Lung Cancer ; Studies ; Cancer Therapies ; Lung Cancer ; Binding Sites ; Drugs ; Squamous Cell Carcinoma ; Adenocarcinoma ; Biomarkers ; Transcription Factors ; Genomes ; Non-Coding RNA ; Computer Applications ; Carcinogenesis ; Lung Carcinoma ; Therapeutic Applications ; Mirna ; Long Non-Coding RNA
descriptionThe interactions of microRNAs (miRNAs), transcription factors (TFs) and their common target long non-coding RNAs (lncRNAs) can lead to the production of TF-miRNA-lncRNA (TML) network motifs. These motifs are functional regulators that perform a wide range of biological processes, such as carcinogenesis. However, TML network motifs have not been systematically identified, and their roles in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) are largely unknown. In the present study, a computational integration approach was performed using multiple sources in order to construct a global TML network for LUAD and LUSC. The analysis revealed several dysregulated TML network motifs, which were common between the two lung cancer subtypes or specific to a single cancer subtype. In addition, functional analysis further indicated that the TML network motifs may potentially serve as putative biomarkers in LUAD and LUSC. The associations between drug treatments and dysregulated TML network...
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titleConstruction of a transcription factor-long non-coding RNA-microRNA network for the identification of key regulators in lung adenocarcinoma and lung squamous cell carcinoma
descriptionThe interactions of microRNAs (miRNAs), transcription factors (TFs) and their common target long non-coding RNAs (lncRNAs) can lead to the production of TF-miRNA-lncRNA (TML) network motifs. These motifs are functional regulators that perform a wide range of biological processes, such as carcinogenesis. However, TML network motifs have not been systematically identified, and their roles in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) are largely unknown. In the present study, a computational integration approach was performed using multiple sources in order to construct a global TML network for LUAD and LUSC. The analysis revealed several dysregulated TML network motifs, which were common between the two lung cancer subtypes or specific to a single cancer subtype. In addition, functional analysis further indicated that the TML network motifs may potentially serve as putative biomarkers in LUAD and LUSC. The associations between drug treatments and dysregulated TML network...
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titleConstruction of a transcription factor-long non-coding RNA-microRNA network for the identification of key regulators in lung adenocarcinoma and lung squamous cell carcinoma
authorZhao, Shuai ; Chen, Hong ; Ding, Beichen ; Li, Jianing ; Lv, Fuzhen ; Han, Kaiyu ; Zhou, Dan ; Yu, Baiquan ; Yu, Yao ; Zhang, Wei
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abstractThe interactions of microRNAs (miRNAs), transcription factors (TFs) and their common target long non-coding RNAs (lncRNAs) can lead to the production of TF-miRNA-lncRNA (TML) network motifs. These motifs are functional regulators that perform a wide range of biological processes, such as carcinogenesis. However, TML network motifs have not been systematically identified, and their roles in lung adenocarcinoma (LUAD) and lung squamous carcinoma (LUSC) are largely unknown. In the present study, a computational integration approach was performed using multiple sources in order to construct a global TML network for LUAD and LUSC. The analysis revealed several dysregulated TML network motifs, which were common between the two lung cancer subtypes or specific to a single cancer subtype. In addition, functional analysis further indicated that the TML network motifs may potentially serve as putative biomarkers in LUAD and LUSC. The associations between drug treatments and dysregulated TML network...
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pubSpandidos Publications UK Ltd.
doi10.3892/mmr.2018.9769
urlhttp://search.proquest.com/docview/2166672449/
pages1101-1109
date2019-01-01