Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis
Sign Up to like & getrecommendations! Published in 2021 at "FEBS Open Bio"
DOI: 10.1002/2211-5463.13078
Abstract: Glioblastoma multiforme (GBM) is the most malignant primary tumour in the central nervous system, but the molecular mechanisms underlying its pathogenesis remain unclear. In this study, data set GSE50161 was used to construct a co‐expression… read more here.
Keywords: analysis; hub genes; glioblastoma multiforme; expression ... See more keywords
Identification of potential key mRNAs and LncRNAs for psoriasis by bioinformatic analysis using weighted gene co-expression network analysis
Sign Up to like & getrecommendations! Published in 2020 at "Molecular Genetics and Genomics"
DOI: 10.1007/s00438-020-01654-0
Abstract: Psoriasis is a common chronic autoimmune inflammatory skin disease that involves genetic and environmental factors. To date, psoriasis is still incurable. Thus, detection of its underlying molecular mechanisms is urgent. Weighted gene co-expression network analysis… read more here.
Keywords: analysis; expression network; psoriasis; gene ... See more keywords
Genome-wide identification and co-expression network analysis of nuclear factor-Y in barley revealed potential functions in salt stress
Sign Up to like & getrecommendations! Published in 2018 at "Physiology and Molecular Biology of Plants"
DOI: 10.1007/s12298-018-00637-1
Abstract: Nuclear factor-Ys (NF-Ys) were previously shown to have important regulatory impacts in different developmental and physiological process. However, in barley the function of the NF-Y genes at system levels is not well known. To identify… read more here.
Keywords: barley; analysis; salt stress; expression ... See more keywords
Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes.
Sign Up to like & getrecommendations! Published in 2021 at "Interdisciplinary sciences, computational life sciences"
DOI: 10.1007/s12539-021-00485-w
Abstract: The weighted gene co-expression network analysis (WGCNA) method constructs co-expressed gene modules based on the linear similarity between paired gene expressions. Linear correlations are the main form of similarity between genes, however, nonlinear correlations still… read more here.
Keywords: cancer genes; network; potential cancer; expression network ... See more keywords
Application of weighted gene co-expression network analysis to reveal key modules and hub genes in generalized aggressive periodontitis.
Sign Up to like & getrecommendations! Published in 2020 at "Archives of oral biology"
DOI: 10.1016/j.archoralbio.2020.104895
Abstract: OBJECTIVE The aim of this study was to construct a gene co-expression network to identify key modules and genes in people with generalized aggressive periodontitis. METHODS We used database GSE79705 to construct a co-expression network… read more here.
Keywords: expression network; hub genes; aggressive periodontitis; generalized aggressive ... See more keywords
Co-Expression Network Analysis: A Future Approach for Pest Control Target Discovery.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of agricultural and food chemistry"
DOI: 10.1021/acs.jafc.3c00113
Abstract: The striped stem borer (SSB, Chilo suppressalis Walker) is a major pest of rice worldwide. Double-stranded RNAs (dsRNAs) targeting essential genes can trigger a lethal RNA interference (RNAi) response in insect pests. In this study,… read more here.
Keywords: network analysis; pest control; expression network; expression ... See more keywords
Co-expression network modeling identifies key long non-coding RNA and mRNA modules in altering molecular phenotype to develop stress-induced depression in rats
Sign Up to like & getrecommendations! Published in 2019 at "Translational Psychiatry"
DOI: 10.1038/s41398-019-0448-z
Abstract: Long non-coding RNAs (lncRNAs) have recently emerged as one of the critical epigenetic controllers, which participate in several biological functions by regulating gene transcription, mRNA splicing, protein interaction, etc. In a previous study, we reported… read more here.
Keywords: depression; long non; non coding; expression ... See more keywords
Exploring functions of long noncoding RNAs across multiple cancers through co-expression network
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-00856-8
Abstract: In contrast to protein-coding genes, long-noncoding RNAs (lncRNAs) are much less well understood, despite increasing evidence indicating a wide range of their biological functions, and possible roles in various cancers. Based on public RNA-seq datasets… read more here.
Keywords: long noncoding; network; exploring functions; noncoding rnas ... See more keywords
Gene biomarker discovery at different stages of Alzheimer using gene co-expression network approach
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-69249-8
Abstract: Alzheimer's disease (AD) is a chronic neurodegenerative disorder. It is the most common type of dementia that has remained as an incurable disease in the world, which destroys the brain cells irreversibly. In this study,… read more here.
Keywords: mir; gene expression; expression; approach ... See more keywords
Co-expression network-based identification of biomarkers correlated with the lymph node metastasis of patients with head and neck squamous cell carcinoma
Sign Up to like & getrecommendations! Published in 2020 at "Bioscience Reports"
DOI: 10.1042/bsr20194067
Abstract: Abstract Head and neck squamous cell carcinoma (HNSCC) is ranked as one of the most frequent malignancies worldwide with a high risk of lymph node metastasis, which serves as a main reason for cancer deaths.… read more here.
Keywords: metastasis; lymph node; node metastasis; expression network ... See more keywords
Identification of FCER1G as a key gene in multiple myeloma based on weighted gene co-expression network analysis.
Sign Up to like & getrecommendations! Published in 2023 at "Hematology"
DOI: 10.1080/16078454.2023.2210904
Abstract: PURPOSE Although the prognosis of multiple myeloma (MM) has remarkably improved with the emerge of novel agents, it remains incurable and relapses inevitably. The molecular mechanisms of MM have not been well-studied. Herein, this study… read more here.
Keywords: gene; network; expression network; fcer1g key ... See more keywords