Results 51 to 60 of about 125,991 (267)

The parenting hub of the hypothalamus is a focus of imprinted gene action

open access: yesPLOS Genetics, 2023
Imprinted genes are subject to germline epigenetic modification resulting in parental-specific allelic silencing. Although genomic imprinting is thought to be important for maternal behaviour, this idea is based on serendipitous findings from a small number of imprinted genes. Here, we undertook an unbiased systems biology approach, taking advantage of
Matthew J. Higgs   +5 more
openaire   +3 more sources

Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma

open access: yesFrontiers in Genetics, 2018
Adrenocortical carcinoma (ACC) is a rare malignancy with a poor prognosis. And currently, there are no specific diagnostic biomarkers for ACC. In our study, we aimed to screen biomarkers for disease diagnosis, progression and prognosis.
Lushun Yuan   +8 more
doaj   +1 more source

Discovering New Hub Genes of Dilated Cardiomyopathy

open access: yesESC Heart Failure
Abstract Aims Dilated cardiomyopathy (DCM) has a poor prognosis and exhibits a complex and diverse aetiology and genetic profile. The genes responsible for the pathogenesis of DCM have not been fully identified.
Jun-Yan Zhu   +9 more
openaire   +3 more sources

Identification and Validation of Hub Genes in the Stenosis of Arteriovenous Fistula

open access: yesJournal of Personalized Medicine, 2023
Arteriovenous fistula (AVF) is the most widely used hemodialysis vascular access in China. However, stenosis of the AVF limits its use. The mechanism of AVF stenosis is currently unknown. Therefore, the purpose of our study was to explore the mechanisms of AVF stenosis. In this study, we identified the differentially expressed genes (DEGs) based on the
Yu Li   +8 more
openaire   +2 more sources

Identification of Unique Transcriptomic Signatures and Hub Genes Through RNA Sequencing and Integrated WGCNA and PPI Network Analysis in Nonerosive Reflux Disease

open access: yesJournal of Inflammation Research, 2021
Ye Zhao,1,* Teng Ma,2,* Duowu Zou1 1Department of Gastroenterology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, People’s Republic of China; 2Department of Thoracic Surgery, Zhongshan Hospital, Fudan ...
Zhao Y, Ma T, Zou D
doaj  

Identification of biomarkers for Barcelona Clinic Liver Cancer staging and overall survival of patients with hepatocellular carcinoma. [PDF]

open access: yesPLoS ONE, 2018
The aim of the current study was to identify biomarkers that correlate with the Barcelona Clinic Liver Cancer (BCLC) staging system and prognosis of patients with hepatocellular carcinoma (HCC).
Wei Xu   +4 more
doaj   +1 more source

Integrated Analysis of Hub Genes and miRNAs in Dilated Cardiomyopathy [PDF]

open access: yesBioMed Research International, 2020
Purpose. The aim of this study is to identify hub genes and miRNAs by the miRNA‐mRNA interaction network in dilated cardiomyopathy (DCM) disease. Methods. The differentially expressed miRNAs (DEMis) and mRNAs (DEMs) were selected using data of DCM patients downloaded from the GEO database (GSE112556 and GSE3585). Gene Ontology (GO) pathway analysis and
Kai Huang   +6 more
openaire   +2 more sources

Co-expression network analysis identified six hub genes in association with progression and prognosis in human clear cell renal cell carcinoma (ccRCC)

open access: yesGenomics Data, 2017
Human clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignant adult kidney tumors. We constructed a weighted gene co-expression network to identify gene modules associated with clinical features of ccRCC (n = 97).
Lushun Yuan   +6 more
doaj   +1 more source

Identification of TNFAIP6 as a hub gene associated with the progression of glioblastoma by weighted gene co‐expression network analysis

open access: yesIET Systems Biology, 2022
This study aims to discover the genetic modules that distinguish glioblastoma multiforme (GBM) from low‐grade glioma (LGG) and identify hub genes. A co‐expression network is constructed using the expression profiles of 28 GBM and LGG patients from the ...
Dongdong Lin, Wei Li, Nu Zhang, Ming Cai
doaj   +1 more source

ESRRG, ATP4A, and ATP4B as Diagnostic Biomarkers for Gastric Cancer: A Bioinformatic Analysis Based on Machine Learning

open access: yesFrontiers in Physiology, 2022
Based on multiple bioinformatics methods and machine learning techniques, this study was designed to explore potential hub genes of gastric cancer with a diagnostic value.
Qiu Chen, Yu Wang, Yongjun Liu, Bin Xi
doaj   +1 more source

Home - About - Disclaimer - Privacy