Results 41 to 50 of about 148,880 (283)

Using Weighted Gene Co-Expression Network Analysis to Identify Increased MND1 Expression as a Predictor of Poor Breast Cancer Survival

International Journal of General Medicine, 2022
Zhaokang Bao,1,* Jiale Cheng,1,* Jiahao Zhu,2,* Shengjun Ji,3 Ke Gu,2 Yutian Zhao,2 Shiyou Yu,1 You Meng1 1Department of Oncology Surgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University ...
Bao Z, Cheng J, Zhu J, Ji S, Gu K, Zhao Y, Yu S, Meng Y   +7 more
doaj  

Regulation of the ESC transcriptome by nuclear long non-coding RNAs [PDF]

, 2015
Long noncoding (lnc)RNAs have recently emerged as key regulators of gene expression. Here, we performed high-depth poly(A)+ RNA sequencing across multiple clonal populations of mouse embryonic stem cells (ESCs) and neural progenitor cells (NPCs) to ...
Bergmann, J. H., Eckersley-Maslin, M. A., Freier, S. M., Li, J., Rigo, F., Spector, D. L.   +5 more
core   +1 more source

Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA)

Computational and Structural Biotechnology Journal, 2022
Weighted gene co-expression network analysis (WGCNA) is used to detect clusters with highly correlated genes. Measurements of correlation most typically rely on linear relationships. However, a linear relationship does not always model pairwise functional-related dependence between genes. In this paper, we first compared 6 different correlation methods
Tianjiao Zhang, Garry Wong
openaire   +3 more sources

Critical genes in human photoaged skin identified using weighted gene co-expression network analysis

Genomics, 2023
Photoaging is unique to the skin and is accompanied by an increased risk of tumors. To explore the transcriptomic regulatory mechanism of skin photoaging, the epidermis, and dermis of 16 healthy donors (eight exposed and eight non-exposed) were surgically excised and detected using total RNA-Seq.
Jie, Zhao, Xun, Zhang, Dafu, Zhang, Qiao, Tang, Yunfeng, Bi, Limei, Yuan, Binbin, Yang, Xiaolan, Li, Zhenhui, Li, Danqi, Deng, Wenting, Cao   +10 more
openaire   +2 more sources

Treatment-associated mRNA co-expression changes in monocytes of patients with posttraumatic stress disorder

Frontiers in Psychiatry, 2023
PTSD is a prevalent mental disorder that results from exposure to extreme and stressful life events and comes at high costs for both the individual and society.
Robert Kumsta, Robert Kumsta, Johannes C. S. Zang, Elisabeth M. Hummel, Svenja Müller, Dirk A. Moser, Stephan Herpertz, Henrik Kessler, Henrik Kessler   +8 more
doaj   +1 more source

Identification of Key Modules and Hub Genes Involved in Regulating the Color of Chicken Breast Meat Using WGCNA

Animals, 2023
Meat color is one of the most important economic traits in chickens. However, the gene network and regulatory mechanisms contributing to meat color traits in chickens remain largely unknown.
Xing Guo, Hong Zhang, Hao Wang, Xin-Xin He, Jiang-Xian Wang, Wei Wei, Meng Liu, Jin-Mei Xu, Ya-Nan Liu, Run-Shen Jiang   +9 more
doaj   +1 more source

Transcriptional profiling of Petunia seedlings reveals candidate regulators of the cold stress response [PDF]

, 2015
Petunias are important ornamentals with the capacity for cold acclimation. So far, there is limited information concerning gene regulation and signaling pathways related to the cold stress response in petunias.
Bei Li, Junwei Zhang, Luyun Ning, Manzhu Bao, Wei Zhang   +4 more
core   +3 more sources

The regulatory and transcriptional landscape associated with carbon utilization in a filamentous fungus. [PDF]

, 2020
Filamentous fungi, such as Neurospora crassa, are very efficient in deconstructing plant biomass by the secretion of an arsenal of plant cell wall-degrading enzymes, by remodeling metabolism to accommodate production of secreted enzymes, and by enabling ...
Benz, J Philipp, Blow, Matthew J, Calhoun, Sara, Dietschmann, Axel, Glass, N Louise, Grigoriev, Igor V, Huberman, Lori B, Kowbel, David J, Lee, Juna, Lipzen, Anna, Monti, Remo, O'Malley, Ronan C, Singan, Vasanth R, Thieme, Nils, Wu, Vincent W, Xiong, Yi   +15 more
core   +3 more sources

Using weighted gene co-expression network analysis to identify key genes related to preeclampsia. [PDF]

Front Immunol
IntroductionThe pathogenesis of preeclampsia remains unclear, highlighting the need for the creation of dependable biomarkers. This study aimed to pinpoint genetic risk factors linked to preeclampsia through the utilization of weighted gene co-expression network analysis (WGCNA).MethodsA gene expression profile dataset from the placentas of patients ...
Shen X, Zeng Z, Xie L, Yue X, Wang Z.
europepmc   +4 more sources

MODA: MOdule Differential Analysis for weighted gene co-expression network [PDF]

, 2016
1SummaryGene co-expression network differential analysis is designed to help biologists understand gene expression patterns under different conditions. We have implemented an R package called MODA (Module Differential Analysis) for gene co-expression network differential analysis. Based on transcriptomic data, MODA can be used to estimate and construct
Li, Dong, Brown, James B., Orsini, Luisa, Pan, Zhisong, Hu, Guyu, He, Shan   +5 more
openaire   +2 more sources