Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Table8_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Table5_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Table10_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Table1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Table4_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Image2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

“…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”

Genome instability in STRIPAK complex mutants. by Patricia P. Peterson (20291306)

Effects of Alteration in ATF3 expression on neurological function and local brain edema in mice with ICH. by Tao Cui (124471)

“…Compared with the only cerebral hemorrhage group, the Corner test score, 28 points neurological score and forelimb placing score in the ATF3 gene down-regulation group were significantly decreased, indicating that ATF3 gene down-regulation effectively improved the neurological function damage in cerebral hemorrhage model mice. …”

GO and KEGG pathway analyses of the DE-mRNAs. by Meimei Xu (744867)

“…The color transition from blue to red indicates decreasing <i>P</i> values, indicating increasingly significant differences. …”

Code. by Hongliang Chen (538815)

“…Enrichment and immune infiltration analyses revealed significant differences in mitochondrial structure and function, immune cell disorders, and signaling pathway activation between the high- and low-mitochondrial gene expression UC groups. …”

Raw Data. by Hongliang Chen (538815)

“…Enrichment and immune infiltration analyses revealed significant differences in mitochondrial structure and function, immune cell disorders, and signaling pathway activation between the high- and low-mitochondrial gene expression UC groups. …”

Workflow of the study. by Hongliang Chen (538815)

“…Enrichment and immune infiltration analyses revealed significant differences in mitochondrial structure and function, immune cell disorders, and signaling pathway activation between the high- and low-mitochondrial gene expression UC groups. …”

Data Sheet 2_Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.zip by Yimin Zhou (3857113)

“…Animal experiments confirmed a significant decrease in the behavioral scores of rats in the SCI group, pathological changes in tissue sections, and differential expression of candidate genes in the SCI rat model.…”

Data Sheet 1_Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.zip by Yimin Zhou (3857113)

“…Animal experiments confirmed a significant decrease in the behavioral scores of rats in the SCI group, pathological changes in tissue sections, and differential expression of candidate genes in the SCI rat model.…”

Data Sheet 1_Genome-wide identification and characterization of HSP90 family gene in cotton and their potential role in salt stress tolerance.docx by Zhao Yan Hao (21639872)

“…Moreover, virus-induced silencing of the two salt stress-responsive genes, Ghir_D03G016230 and Ghir_D02G013530, which were upregulated under salt stress, resulted in a significant decrease in SOD, POD, and CAT, accompanied by a marked increase in MDA content in the salt-tolerant cotton cultivar. …”

Data_Sheet_1_Discovering a novel glycosyltransferase gene CmUGT1 enhances main metabolites production of Cordyceps militaris.docx by Rong-an He (19925664)

“…However, C. militaris strains are highly susceptible to irreversible degradation in agricultural production, which is often manifested as a prolonged color change period and a significant decrease in the production of secondary metabolites. …”

General participant characteristics. by Josephine Grandt (21512356)

“…GOBP analyses revealed an increase in pro-inflammatory and pro-fibrotic genes in NAFLD and cirrhosis, as well as a decrease in genes related to metabolism. …”

Image 2_Identification of immune subtypes associated with CD8+ T cell-related genes providing new treatment strategies of esophageal carcinoma.pdf by Youyi Wu (20786402)

“…</p>Results<p>The results revealed significant correlations between CD8+ T cell-related genes and immune-related pathways. …”