Zobrazeno 1 - 10
of 95
pro vyhledávání: '"WGCNA (weighted gene co-expression network analyses)"'
Publikováno v:
Frontiers in Molecular Biosciences, Vol 10 (2024)
Background: Sepsis is a pathological state resulting from dysregulated immune response in host during severe infection, leading to persistent organ dysfunction and ultimately death. Senescence-associated genes (SAGs) have manifested their potential i
Externí odkaz:
https://doaj.org/article/8a03381750344d64a5c2239e1f19df80
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Rice is an important target to improve crop nitrogen (N) use efficiency (NUE), and the identification and shortlisting of the candidate genes are still in progress. We analyzed data from 16 published N-responsive transcriptomes/microarrays to identif
Externí odkaz:
https://doaj.org/article/1bc8f54f3dca48b0a21d21cd2aeaf0f7
Autor:
Zheqin Li, Jian Gao, Liangjun Lin, Zifeng Zheng, Susu Yan, Weidi Wang, Dongdong Shi, Zhen Wang
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionObsessive–compulsive disorder (OCD), characterized by the presence of obsessions and/or compulsions, is often difficult to diagnose and treat in routine clinical practice. The candidate circulating biomarkers and primary metabolic pathw
Externí odkaz:
https://doaj.org/article/657893a3b1a740948b6a3d6777ace827
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Compositional traits in potato [Solanum tuberosum L.] are economically important but genetically complex, often controlled by many loci of small effect; new methods need to be developed to accelerate analysis and improvement of such traits, like chip
Externí odkaz:
https://doaj.org/article/b7d69a3aa5be47d2b743feb4d20abab2
Autor:
Xueqin Zhang, Peng Chao, Lei Zhang, Lin Xu, Xinyue Cui, Shanshan Wang, Miiriban Wusiman, Hong Jiang, Chen Lu
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
BackgroundThere is a growing public concern about diabetic kidney disease (DKD), which poses a severe threat to human health and life. It is important to discover noninvasive and sensitive immune-associated biomarkers that can be used to predict DKD
Externí odkaz:
https://doaj.org/article/b741809c41444e8d90da8581e65da6a6
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
Background: Randall’s plaque is regarded as the precursor lesion of lithiasis. However, traditional bioinformatic analysis is limited and ignores the relationship with immune response. To investigate the underlying calculi formation mechanism, we i
Externí odkaz:
https://doaj.org/article/61de27ef8cae471f8495bffaaa41df06
Publikováno v:
Frontiers in Pediatrics, Vol 10 (2022)
BackgroundBronchopulmonary dysplasia (BPD) is the most common neonatal chronic lung disease. However, its exact molecular pathogenesis is not understood. We aimed to identify relevant gene modules that may play crucial roles in the occurrence and dev
Externí odkaz:
https://doaj.org/article/b7f4b5521ebe404783f7bc6a9f896c0e
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Background: Currently, disease control in patients with severe eosinophilic asthma is not optimistic. Competing endogenous RNA (ceRNA) networks have been found to play a key role in asthma in recent years. However, it is unclear whether ceRNA network
Externí odkaz:
https://doaj.org/article/9d6f01f8c32040a986a1b38baeca42af
Autor:
Ruoyu Dang, Bojian Qu, Kaimin Guo, Shuiping Zhou, He Sun, Wenjia Wang, Jihong Han, Ke Feng, Jianping Lin, Yunhui Hu
Publikováno v:
Frontiers in Genetics, Vol 12 (2022)
Background: Coronary artery disease (CAD) exerts a global challenge to public health. Genetic heritability is one of the most vital contributing factors in the pathophysiology of CAD. Co-expression network analysis is an applicable and robust method
Externí odkaz:
https://doaj.org/article/8edd235c216a45268bd14726f22e74e6
Autor:
Keping Chai, Jiawei Liang, Xiaolin Zhang, Panlong Cao, Shufang Chen, Huaqian Gu, Weiping Ye, Rong Liu, Wenjun Hu, Caixia Peng, Gang Logan Liu, Daojiang Shen
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Aging is a major risk factor contributing to neurodegeneration and dementia. However, it remains unclarified how aging promotes these diseases. Here, we use machine learning and weighted gene co-expression network (WGCNA) to explore the relationship
Externí odkaz:
https://doaj.org/article/73d294e137b548e1b2b84f3dbbf9f9c6