Cargando…

Bioinformatics Analysis Identifies ASCL1 as the Key Transcription Factor in Hepatocellular Carcinoma Progression

METHODS: Differentially transcription factors (DETFs) were identified from differentially expressed genes (DEGs) in GSE62232 and transcription factors. Then, they were analyzed by regulatory networks, prognostic risk model, and overall survival analyses to identify the key DETF. Combined with the re...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Hong-yan, Zong, Rui-qing, Wu, Fei-xiang, Li, Yi-ran
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9902118/ https://www.ncbi.nlm.nih.gov/pubmed/36755802 http://dx.doi.org/10.1155/2023/3560340

Ejemplares similares

Retracted: Bioinformatics Analysis Identifies ASCL1 as the Key Transcription Factor in Hepatocellular Carcinoma Progression
por: Markers, Disease
Publicado: (2023)

Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma
por: Zhang, Yingai, et al.
Publicado: (2019)

Identification and Validation of Key Genes in Hepatocellular Carcinoma by Bioinformatics Analysis
por: Wang, Jia, et al.
Publicado: (2021)

Overexpressed Histocompatibility Minor 13 was Associated with Liver Hepatocellular Carcinoma Progression and Prognosis
por: Zong, Rui-Qing, et al.
Publicado: (2022)

Screening of the Key Genes for the Progression of Liver Cirrhosis to Hepatocellular Carcinoma Based on Bioinformatics
por: Chen, Yuanbin, et al.
Publicado: (2022)

Association Between Procalcitonin and Post-hepatectomy Liver Failure in Hepatocellular Carcinoma Patients
por: Li, Yi-Ran, et al.
Publicado: (2021)

Mechanism Analysis of LINC00665 and Its Peptides CIP2A-BP in Hepatocellular Carcinoma
por: Li, Yi-Ran, et al.
Publicado: (2022)

Key genes affecting the progression of nasopharyngeal carcinoma identified by RNA-sequencing and bioinformatic analysis
por: Wang, Yihong, et al.
Publicado: (2021)

Transcriptional control of vertebrate neurogenesis by the proneural factor Ascl1
por: Vasconcelos, Francisca F., et al.
Publicado: (2014)

Identification of key miRNAs in the progression of hepatocellular carcinoma using an integrated bioinformatics approach
por: Zheng, Qi, et al.
Publicado: (2020)

Bioinformatics analysis of molecular genetic targets and key pathways for hepatocellular carcinoma
por: Tu, Junxue, et al.
Publicado: (2019)

Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma
por: Jiang, Chen Hao, et al.
Publicado: (2020)

An integrative epigenomic approach identifies ELF3 as an oncogenic regulator in ASCL1‐positive neuroendocrine carcinoma
por: Horie, Masafumi, et al.
Publicado: (2023)

Identification of potential key genes and pathways in hepatitis B virus-associated hepatocellular carcinoma by bioinformatics analyses
por: Zhang, Xiang, et al.
Publicado: (2020)

The N terminus of Ascl1 underlies differing proneural activity of mouse and Xenopus Ascl1 proteins
por: Hardwick, Laura J.A., et al.
Publicado: (2018)

Identification of key candidate genes and pathways in hepatocellular carcinoma by integrated bioinformatical analysis
por: Xing, Tonghai, et al.
Publicado: (2018)

Transcription factor ASCL2 is required for development of the glycogen trophoblast cell lineage
por: Bogutz, Aaron B., et al.
Publicado: (2018)

Integrated bioinformatics analyses of key genes involved in hepatocellular carcinoma immunosuppression
por: Huang, Hongyan, et al.
Publicado: (2021)

Bioinformatics analysis to reveal key biomarkers for early and late hepatocellular carcinoma
por: Xi, Shuqiang, et al.
Publicado: (2020)

The proneural transcription factor ASCL1 regulates cell proliferation and primes for differentiation in neuroblastoma
por: Parkinson, Lydia M., et al.
Publicado: (2022)

Identifying key genes and screening therapeutic agents associated with diabetes mellitus and HCV-related hepatocellular carcinoma by bioinformatics analysis
por: Sufyan, Muhammad, et al.
Publicado: (2021)

Increased dosage of the imprinted Ascl2 gene restrains two key endocrine lineages of the mouse Placenta
por: Tunster, S.J., et al.
Publicado: (2016)

Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis
por: Li, Lin, et al.
Publicado: (2017)

Identification of molecular target genes and key pathways in hepatocellular carcinoma by bioinformatics analysis
por: Zhou, Lei, et al.
Publicado: (2018)

Bioinformatics analysis of key genes and pathways for hepatocellular carcinoma transformed from cirrhosis
por: He, Bosheng, et al.
Publicado: (2017)

Identification of key genes and pathways in hepatocellular carcinoma: A preliminary bioinformatics analysis
por: Wu, Min, et al.
Publicado: (2019)

Comprehensive Bioinformatics Analysis of Key Methyltransferases and Demethylases for Histone Lysines in Hepatocellular Carcinoma
por: Zheng, Yang, et al.
Publicado: (2020)

Identification of key snoRNAs serves as biomarkers for hepatocellular carcinoma by bioinformatics methods
por: Xie, Qingqing, et al.
Publicado: (2022)

Molecular Mechanisms Underlying Ascl1-Mediated Astrocyte-to-Neuron Conversion
por: Rao, Zhiping, et al.
Publicado: (2021)

RFX5 promotes the progression of hepatocellular carcinoma through transcriptional activation of KDM4A
por: Chen, Dong-Bo, et al.
Publicado: (2020)

Activation of Proneuronal Transcription Factor Ascl1 in Maternal Liver Ensures a Healthy Pregnancy
por: Lee, Joonyong, et al.
Publicado: (2021)

Using Integrated Bioinformatics Analysis to Identify Abnormally Methylated Differentially Expressed Genes in Hepatocellular Carcinoma
por: Chen, Qing-Lian, et al.
Publicado: (2021)

Bioinformatic Analysis Identifies Potential Key Genes in the Pathogenesis of Melanoma
por: Han, Yanjie, et al.
Publicado: (2020)

Integrated Proteomics and Bioinformatics to Identify Potential Prognostic Biomarkers in Hepatocellular Carcinoma
por: Zhang, Qifan, et al.
Publicado: (2021)

Integrated Bioinformatics Analysis Reveals Key Candidate Genes and Pathways Associated With Clinical Outcome in Hepatocellular Carcinoma
por: Li, Yubin, et al.
Publicado: (2020)

Systems analysis of key genes and pathways in the progression of hepatocellular carcinoma
por: Shang, Yu-Kui, et al.
Publicado: (2018)

Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma
por: Zhang, Haiping, et al.
Publicado: (2019)

Identification of key pathways and biomarkers in sorafenib-resistant hepatocellular carcinoma using bioinformatics analysis
por: Huang, Danping, et al.
Publicado: (2018)

Identification of special key genes for alcohol-related hepatocellular carcinoma through bioinformatic analysis
por: Zhang, Xiuzhi, et al.
Publicado: (2019)

Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis
por: Mou, Tong, et al.
Publicado: (2017)

Cannot write session to /tmp/vufind_sessions/sess_6ckfchujtc1lc3eu25nj6ll175