Results 41 to 50 of about 212,786 (294)
Connecting transcriptional and post-transcriptional regulatory networks solves an important puzzle in the elucidation of gene regulatory mechanisms. To decipher the complexity of these connections, we build co-expression network modules for mRNA as well ...
Wani Nisar, Barh Debmalya, Raza Khalid
doaj +1 more source
Polycystic ovary syndrome (PCOS) affects reproductive-age women. This condition causes infertility, insulin resistance, obesity, and heart difficulties. The molecular basis and mechanism of PCOS might potentially generate effective treatments.
Roozbeh Heidarzadehpilehrood +4 more
semanticscholar +1 more source
BackgroundGastric cancer (GC) is one of the most common cancers all over the world, causing high mortality. Gastric cancer screening is one of the effective strategies used to reduce mortality. We expect that good biomarkers can be discovered to diagnose
Meng-jie Shan +7 more
doaj +1 more source
The pathogenesis and biomarkers of ovarian cancer (OC) remain not well-known in diagnosis, effective therapy, and prognostic assessment in OC personalized medicine.
Na Li, X. Zhan
semanticscholar +1 more source
Pulmonary hypertension (PH) is a cardiopulmonary vascular disease that acutely endangers human health and can be fatal. It progresses rapidly and has a high mortality rate. Its pathophysiology is complicated and still not completely elucidated; therefore, achieving treatment breakthroughs are difficult.
Shengyan Wang +6 more
openaire +2 more sources
Discovery of core genes in colorectal cancer by weighted gene co‑expression network analysis
The aim of the present study was to investigate the interactions among messenger RNAs (mRNAs), microRNAs (miRNAs), and long noncoding RNAs (lncRNAs) in colorectal cancer (CRC), in order to examine its underlying mechanisms. The raw gene expression data was downloaded from the Gene Expression Omnibus (GEO) database. An online tool, GEO2R, which is based
Liao, Cun +3 more
openaire +3 more sources
The pathogenic mechanisms of prostate cancer (PCa) remain to be defined. In this study, we utilized the Robust Rank Aggregation (RRA) method to integrate 10 eligible PCa microarray datasets from the GEO and identified a set of significant differentially ...
Zhen-yu Song +5 more
semanticscholar +1 more source
Identifying key genes in milk fat metabolism by weighted gene co-expression network analysis
AbstractMilk fat is the most important and energy-rich substance in milk, and its content and composition are important reference elements in the evaluation of milk quality. However, the current identification of valuable candidate genes affecting milk fat is limited.
Tong Mu +8 more
openaire +3 more sources
Identification of WTAP-related genes by weighted gene co-expression network analysis in ovarian cancer [PDF]
Abstract Background : WTAP modulating other genes in the manner of transcriptional and post-transcriptional regulation, in particular, acting as a N6-methyladenosine writer or binding to the 3’-untranslated region of mRNA, promotes a variety of tumors. However, its roles and mechanisms in ovarian cancer are unknown.
Jing Wang +6 more
openaire +3 more sources
Introduction Colorectal cancer (CRC) is the fourth most common cause of cancer-related mortality worldwide. The tumor, node, metastasis (TNM) stage remains the standard for CRC prognostication.
Xian-Guo Zhou +7 more
semanticscholar +1 more source

