Unveiling the Texture Secrets of <i>Morchella</i> Germplasm: Advanced Grading and Quality Assessment Through Texture Profile Analysis (TPA) by Jialiang Li, Ying Chen, Xuelian Cao, Jie Tang, Liyuan Xie, Lixu Liu, Yan Wan, Rongping Hu

“…Additionally, the hardness was negatively correlated with cohesiveness and resilience, with correlation coefficients of −0.51 and −0.38. Variation analysis indicated abundant genetic variation in each characteristic. …”
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Influence of sowing amount and substrate thickness on the quality of sandy ecological grass blankets by ZOU Jiatong, YU Weijie, ZHANG Zheng, FENG Zhidao, ZHANG Changlin

“…Z9/45 treatment received the highest comprehensive score for blanket formation traits, as assessed by both variation analysis and membership function methods. [Conclusion] Z9/45 treatment of the grass blanket not only demonstrated excellent plant density, aboveground biomass, and root biomass but also exhibited superior overall performance. …”
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Identification of multicohort-based predictive signature for NMIBC recurrence reveals SDCBP as a novel oncogene in bladder cancer by Chen Zhang, Hubin Yin, Tinghao Li, Junrui Chen, Weiyang He, Ke Ren, Bo Li, Xudong Liu

“…We integrated the two proteins with clinical factors to develop a nomogram model, which showed superior accuracy compared to individual parameters. Gene Set Variation Analysis and Gene Set Enrichment Analysis unveiled SDCBP exerted cancer-promoting biological processes, such as angiogenesis, EMT, metastasis and proliferation. …”
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QUALITY EVALUATION OF THE TPP POWER GENERATING UNITS WEAR RECONDITIONING by E. M. Farhadzadeh, A. Z. Muradaliyev, Yu. Z. Farzaliyev

“…The technical-and-economic indexes variation analysis refinement allows significant rise in the repair work quality evaluation immediacy and in doing so reduces the costs associated with indistinct performance reliability and economical efficiency ranging of the power units based upon specified requirements.…”
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Vitamin A family suppresses periodontitis by restoring mitochondrial metabolic reprogramming in macrophages through JAK-STAT pathway by Zishuo Cheng, Shun Huang, Qiya Tang, Danlan Zhang, Lan Huang

“…Machine learning models, combined with Gene Set Variation Analysis (GSVA), identified five key genes (RGS1, ACAT2, KDR, TUBB2A, TDO2) linked to periodontitis. …”
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Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes by Fanqi Liang, Man Zheng, Jingjiu Lu, Peng Liu, Xinyu Chen

“…Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) were employed to assess the biological significance and pathways associated with these genes. …”
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Identification of Bacterial Lipopolysaccharide-Associated Genes and Molecular Subtypes in Autism Spectrum Disorder by He Y, He Y, Cheng B

“…A nomogram prediction model was developed based on these signatures, and we performed Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune cell infiltration analysis to assess the impact of BLI subtypes and their underlying mechanisms.Results: Our findings revealed 17 differentially expressed BLI genes in children with ASD, with BLNK, MAPK8, PRKCQ, and TNFSF12 identified as potential biomarkers. …”
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Assessment of prognosis and responsiveness to immunotherapy in colorectal cancer patients based on the level of immune cell infiltration by Kaili Liao, Minqi Zhu, Lei Guo, Zijun Gao, Jinting Cheng, Bing Sun, Yihui Qian, Bingying Lin, Jingyan Zhang, Tingyi Qian, Yixin Jiang, Yanmei Xu, Qionghui Zhong, Xiaozhong Wang

“…Gene biofunction analysis was performed using Gene set enrichment analysis (GSEA) and Gene set variation analysis (GSVA). And the chemotherapeutic response to different drugs was assessed.ResultsWe established a novel prognostic model utilizing the WGCNA method, which demonstrated robust predictive accuracy for patient survival. …”
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The efficacy of Artichoke leaf extract conjugated with organic zinc nanoparticles on growth, carcass traits and blood biochemical parameters of broilers by Elwy A. Ashour, Ahmed K. Aldhalmi, Mahmoud Kamal, Salem S. Salem, Samir A. Mahgoub, Abdulmohsen H. Alqhtani, Mahmoud Madkour, Ahmed A. Elolimy, Mohamed E. Abd El-Hack, Ayman A. Swelum

“…The results showed significant changes in LBW on days 28 and 31 of their lives, with the ZnO-Nano-ALPE groups showing the greatest changes. Variation analysis revealed no discernible changes between the treatment groups; however, there were notable variations in the calculated feed intake (FI) on days 29 and 31. …”
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An integrated investigation of mitochondrial genes in COPD reveals the causal effect of NDUFS2 by regulating pulmonary macrophages by Xiaoli Zou, Qiqing Huang, Tutu Kang, Shaoran Shen, Chenxi Cao, Jianqing Wu

“…Finally, NDUFS2 was evaluated as the top-ranked contributor to COPD in the nomogram model and its downregulation in pulmonary macrophages could result in pro-inflammatory secretion, enhanced intercellular communications, whereas depressed phagocytosis of macrophages as revealed by gene set variation analysis (GSVA) and cell-cell interaction (CCI) analysis of single-cell transcriptomic dataset of COPD human lungs, which was later confirmed in COPD mouse model and macrophage cell lines. …”
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Single-cell RNA-seq analysis reveals microenvironmental infiltration of myeloid cells and pancreatic prognostic markers in PDAC by Yanying Fan, Lili Wu, Xinyu Qiu, Han Shi, Longhang Wu, Juan Lin, Jie Lin, Tianhong Teng

“…Methods Single-cell RNA sequencing (scRNA-seq) data were downloaded from t the Tumor Immune Single-cell Hub and gene expression data were retrieved from The Cancer Genome Atlas (TCGA) database and the Gene Expression Omnibus (GEO) database. Gene set variation analysis (GSVA) was used to estimate the relative proportions of each cell type based on the signatures identified by scRNA-seq or previous literature. …”
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Identification of tacrolimus-related genes in familial combined hyperlipidemia and development of a diagnostic model using bioinformatics analysis by Yuan Xu, Hongfei He, Haiyang Li

“…FCHL was linked to memory B and immature B immune cells. The gene set variation analysis revealed two pathways associated with cholesterol homeostasis and the complement system that were closely associated with the potential functions of FCHL and tacrolimus-related differentially expressed genes. …”
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The Role of Pyroptosis&#x2010;Related Gene Signature and Immune Infiltration in Juvenile Dermatomyositis by Qiao W, Zhu C, Huang D, Liu Y, Wang Z, Zhu T, Song Q, Yang X, Wang Y, Wang Y

“…Functional enrichment analysis, immune cell infiltration analysis, gene set variation analysis (GSVA), and gene set enrichment analysis (GSEA) were performed to elucidate the potential roles of PR-DEGs in JDM pathogenesis.Results: A total of 2526 common DEGs were identified, among which 12 PR-DEGs were identified, with CASP1, IRF1, NOD2, and PYCARD identified as hub PR-DEGs. …”
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The key role of the NUDT3 gene in lung adenocarcinoma progression and its association with the manganese ion metabolism family by Deyong Ge, Xinyu Xu, Liyi Fang, Huihui Tao

“…Non-negative matrix factorization (NMF) and gene set variation analysis (GSVA) were applied to assess the functional enrichment and expression profiles of the manganese ion metabolism family across 14 cancers. …”
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Spatiotemporal Variation and Driving Factors of Carbon Sequestration Rate in Terrestrial Ecosystems of Ningxia, China by Yi Zhang, Chunxiao Cheng, Zhihui Wang, Hongxin Hai, Lulu Miao

“…Based on ground observation data and multimodal datasets, the optimal machine learning model (EXT) was used to invert a 30 m high-resolution vegetation and soil carbon density dataset for Ningxia from 2000 to 2023. Annual variation analysis and geographical detector methods were employed to assess the spatiotemporal distribution characteristics of the CSR from 2001 to 2023 and identify the primary influencing factors. …”
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Genetic investigations of autosomal recessive inherited ichthyosis impressed by fetal ultrasound: Exome sequencing and haplotype linkage analysis by Ting-Yu Chang, Zhu Wei Lim, Yi-Tzu Chu, Wan-Ju Wu, Mei-Hui Lee, Shun-Ping Chang, Dong-Jay Lee, Wen-Hsiang Lin, Ming Ho, Jin-Chung Shih, Gwo-Chin Ma, Ming Chen

“…Genome Analysis ToolKit (GATK 4 version 4.2.1.0) was merged using a setting of the trio model for exome variation analysis. Confirmatory Sanger sequencing of ABCA12 gene was also applied to both parents. …”
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UBE2J1 is identified as a novel plasma cell-related gene involved in the prognosis of high-grade serous ovarian cancer by Yunjie Tian, Ruoyu Dong, Yingxia Guan, Ying Wang, Wei Zhao, Jun Zhang, Shan Kang

“…The effects of immune cell markers on prognosis were analyzed via univariate Cox regression, least absolute shrinkage and selection operator (LASSO) and gene set variation analysis (GSVA) of bulk sequencing data from The Cancer Genome Atlas (TCGA)-HGSOC cohort. …”
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Immunometabolic alterations in type 2 diabetes mellitus revealed by single-cell RNA sequencing: insights into subtypes and therapeutic targets by Huahua Li, Lingling Zou, Zhaowei Long, Junkun Zhan, Junkun Zhan

“…Metabolic heterogeneity within T cell subpopulations was evaluated using Gene Set Variation Analysis (GSVA). Machine learning models were constructed to classify T2DM subtypes based on metabolic signatures, and T-cell-monocyte interactions were explored to assess immune crosstalk. …”
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Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases by Longyu Zhu, Miaomiao Liu, Yuguang Shang, Jingge Cheng, Hongye Zhao, Jun Zhang, Dongxing Shen

“…The biological function of cell subpopulations was analyzed using gene set variation analysis. The expression of STMN1 was analyzed using immunohistochemical staining. …”
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Identification of Anoikis-Related Genes in Chronic Kidney Disease Based on Bioinformatics Analysis Combined with Experimental Validation by Liu H, Mei M, Zhong H, Lin S, Luo J, Huang S, Zhou J

“…We aimed to establish the Anoikis-related gene signature in CKD by bioinformatics analysis.Methods: We retrieved 3 datasets from the Gene Expression Omnibus (GEO) database to obtain differentially expressed genes (DEGs), followed by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Gene Set Enrichment Analysis (GSEA) and Gene Set Variation Analysis (GSVA) of them, which were intersected with Anoikis-related genes (ARGs) to derive Anoikis-related differentially expressed genes (ARDEGs). …”
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