Construction and Bioinformatics Analysis of ceRNA Regulatory Networks in Idiopathic Pulmonary Fibrosis DOI Creative Commons
Menglin Zhang,

Xiao Wu,

Honglan Zhu

и другие.

Biochemical Genetics, Год журнала: 2024, Номер unknown

Опубликована: Июнь 13, 2024

Abstract Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive form of unknown etiology. Despite ongoing research, there currently no cure for this disease. Recent studies have highlighted the significance competitive endogenous RNA (ceRNA) regulatory networks in IPF development. Therefore, study investigated ceRNA network associated with pathogenesis. We obtained gene expression datasets (GSE32538, GSE32537, GSE47460, and GSE24206) from Gene Expression Omnibus (GEO) database analyzed them using bioinformatics tools to identify differentially expressed messenger RNAs (DEmRNAs), microRNAs (DEmiRNAs), long non-coding (DElncRNA). For DEmRNAs, we conducted an enrichment analysis, constructed protein–protein interaction networks, identified hub genes. Additionally, predicted target genes mRNAs their interacting various databases. Subsequently, screened molecules relations lncACTdb based on screening results. Furthermore, performed disease functional analyses pathway prediction miRNAs network. also validated levels candidate DEmRNAs through quantitative real-time reverse transcriptase polymerase chain reaction correlation between these percent pre-bronchodilator forced vital capacity [%predicted FVC (pre-bd)]. found that three axes, specifically KCNQ1OT1/XIST/NEAT1-miR-20a-5p-ITGB8, XIST-miR-146b-5p/miR-31-5p- MMP16, NEAT1-miR-31-5p-MMP16, potential significantly affect progression. Further examination underlying mechanisms within enhances our understanding pathogenesis may aid identification diagnostic biomarkers therapeutic targets.

Язык: Английский

LncRNA FOXD2-AS1 promotes the growth, invasion and migration of OSCC cells by regulating the MiR-185–5p/PLOD1/Akt/mTOR pathway DOI
Jian Liu, Yong Zhang, Jingjing Wu

и другие.

Cancer Genetics, Год журнала: 2024, Номер 284-285, С. 48 - 57

Опубликована: Май 6, 2024

Язык: Английский

Процитировано

6
LncRNA THUMPD3-AS1/microRNA-4465/KPNA2 axis impacts human hepatocellular carcinoma cell phenotypes DOI Creative Commons
Jiawei Wang,

Chunzhong Qiao,

Baoyang Luo

и другие.

Regenerative Therapy, Год журнала: 2025, Номер 28, С. 413 - 420

Опубликована: Янв. 23, 2025

Язык: Английский

Процитировано

0
Identification of RNA methylation-related lncRNAs for prognostic assessment and immunotherapy in bladder cancer—based on single cell/Bulk RNA sequencing data DOI

LianMing Fan,

Jie Wang,

Zhiya Zhang

и другие.

Functional & Integrative Genomics, Год журнала: 2024, Номер 24(2)

Опубликована: Март 13, 2024

Язык: Английский

Процитировано

2
Chitosan and hyaluronic acid in colorectal cancer therapy: A review on EMT regulation, metastasis, and overcoming drug resistance DOI

Mingming Han,

Xi Zhou,

Cheng Hang

и другие.

International Journal of Biological Macromolecules, Год журнала: 2024, Номер 289, С. 138800 - 138800

Опубликована: Дек. 16, 2024

Язык: Английский

Процитировано

2
An aptamer and Au/Si CCA based SERS sensor for ultra-sensitive detection of Vimentin during EMT in gastric cancer DOI Creative Commons
Lingling Cheng, Jianlin Xu, Hua Yuan

и другие.

Frontiers in Bioengineering and Biotechnology, Год журнала: 2023, Номер 11

Опубликована: Дек. 7, 2023

Introduction: In this study, a surface-enhanced Raman scattering (SERS) sensor based on functionalized Au/Si cap-cone array (Au/Si CCA) was constructed using the identity-release strategy to detect Vimentin changes during epithelial-mesenchymal transition (EMT) in gastric cancer (GC). Methods: The periodic structure of CCA, which can form "hot spots" with high density and regular arrangement, is substrate excellent performance. CCA aptamers as capture substrate, Au nanocubes (AuNCs) were modified 5-carboxyfluorescein (5-FAM) labelled complementary strand SERS probe. probe assembled by hybridization, signal intensity 5-FAM greatly enhanced. binding aptamer resulted broken connection between AuNCs, decrease 5-FAM. requires only simple step reaction achieve rapid detection target proteins, has clinical practicability. Results: Using protocol, concentration GES-1 cells could be successfully detected, limit low 4.92 pg/mL. Biological experiments Vincristine, Oncovin (VCR)-treated effectively mimicked EMT process, accurately detected method. Discussion: This study provides selective, ultra-sensitive accurate assay for detection, may provide means future process GC.

Язык: Английский

Процитировано

2
Construction and Bioinformatics Analysis of ceRNA Regulatory Networks in Idiopathic Pulmonary Fibrosis DOI Creative Commons
Menglin Zhang,

Xiao Wu,

Honglan Zhu

и другие.

Biochemical Genetics, Год журнала: 2024, Номер unknown

Опубликована: Июнь 13, 2024

Abstract Idiopathic pulmonary fibrosis (IPF) is a chronic, progressive form of unknown etiology. Despite ongoing research, there currently no cure for this disease. Recent studies have highlighted the significance competitive endogenous RNA (ceRNA) regulatory networks in IPF development. Therefore, study investigated ceRNA network associated with pathogenesis. We obtained gene expression datasets (GSE32538, GSE32537, GSE47460, and GSE24206) from Gene Expression Omnibus (GEO) database analyzed them using bioinformatics tools to identify differentially expressed messenger RNAs (DEmRNAs), microRNAs (DEmiRNAs), long non-coding (DElncRNA). For DEmRNAs, we conducted an enrichment analysis, constructed protein–protein interaction networks, identified hub genes. Additionally, predicted target genes mRNAs their interacting various databases. Subsequently, screened molecules relations lncACTdb based on screening results. Furthermore, performed disease functional analyses pathway prediction miRNAs network. also validated levels candidate DEmRNAs through quantitative real-time reverse transcriptase polymerase chain reaction correlation between these percent pre-bronchodilator forced vital capacity [%predicted FVC (pre-bd)]. found that three axes, specifically KCNQ1OT1/XIST/NEAT1-miR-20a-5p-ITGB8, XIST-miR-146b-5p/miR-31-5p- MMP16, NEAT1-miR-31-5p-MMP16, potential significantly affect progression. Further examination underlying mechanisms within enhances our understanding pathogenesis may aid identification diagnostic biomarkers therapeutic targets.

Язык: Английский

Процитировано

0