cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6151970.v1
title: The role of oxymatrine in regulating TGF-β1 in rats with hepatic fibrosis

description: Abstract Purpose: To investigate whether oxymatrine (OMT) prevents hepatic fibrosis in rats by regulating liver transforming growth factor β1 (TGF-β1) level. Methods: Hepatic fibrosis was induced in rats by thioacetamide (TAA). Blood was collected at the end of week 12 to determine the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and glutathione (GSH). Changes in liver tissue were observed after hematoxylin-eosin (HE) staining. Results: Fibrosis was confirmed by Masson’s collagen staining. Liver TGF-β1 level was determined by ELISA. OMT significantly reduced serum ALT and AST but increased GSH levels in rats with hepatic fibrosis. Moreover, it significantly improved liver histology in rats with TAA-induced hepatic fibrosis. It significantly decreased liver TGF-β1 level compared to that in the untreated group. It also significantly reduced collagen deposition in rats. Conclusion: Oxymatrine is effective in protecting rats from thioacetamide-induced hepatic fibrosis by regulating TGF-β1 expression.
DOI: 10.6084/m9.figshare.6152159
title: Contribution of DNA repair xeroderma pigmentosum group D genotypes to pancreatic cancer risk in the Chinese Han population

description: Abstract This study aimed to determine the association between the polymorphisms and haplotypes in the xeroderma pigmentosum group D (XPD) gene and the risk of pancreatic cancer in the Chinese Han population. SNaPshot was used for genotyping six SNP sites of the XPD gene. Comparisons of the correlations between different genotypes in combination with smoking and the susceptibility to pancreatic cancer were performed. Individual pancreatic cancer risk in patients who carry mutant C alleles (AC, CC, and AC+CC) at rs13181 increased (p &lt; 0.05). Taking non-smoking individuals who carry the AA genotype as a reference, and non-smoking individuals who carry mutant allele C (AC+CC), the risk of pancreatic cancer increased by 3.343 times in individuals who smoked ≥ 20 cigarettes daily, 3.309 times in individuals who smoked ≥ 14 packs per year, 5.011 times in individuals who smoked ≥ 24 packs per year, and 4.013 times in the individuals who smoked ≥ 37 packs per year (P &lt; 0.05). In addition, haplotype analysis revealed that haplotype AGG, which comprised rs13181, rs3916874 and rs238415, was associated with a 1.401-fold increase in pancreatic cancer risk (p &lt; 0.05). We conclude that the polymorphism of XPD Lys751Gln (rs13181) in combination with smoking contributes to increased risk of pancreatic cancer in the Chinese Han population. Haplotype AGG might be a susceptibility haplotype for pancreatic cancer.
DOI: 10.6084/m9.figshare.6152159.v1
title: Contribution of DNA repair xeroderma pigmentosum group D genotypes to pancreatic cancer risk in the Chinese Han population

description: Abstract This study aimed to determine the association between the polymorphisms and haplotypes in the xeroderma pigmentosum group D (XPD) gene and the risk of pancreatic cancer in the Chinese Han population. SNaPshot was used for genotyping six SNP sites of the XPD gene. Comparisons of the correlations between different genotypes in combination with smoking and the susceptibility to pancreatic cancer were performed. Individual pancreatic cancer risk in patients who carry mutant C alleles (AC, CC, and AC+CC) at rs13181 increased (p &lt; 0.05). Taking non-smoking individuals who carry the AA genotype as a reference, and non-smoking individuals who carry mutant allele C (AC+CC), the risk of pancreatic cancer increased by 3.343 times in individuals who smoked ≥ 20 cigarettes daily, 3.309 times in individuals who smoked ≥ 14 packs per year, 5.011 times in individuals who smoked ≥ 24 packs per year, and 4.013 times in the individuals who smoked ≥ 37 packs per year (P &lt; 0.05). In addition, haplotype analysis revealed that haplotype AGG, which comprised rs13181, rs3916874 and rs238415, was associated with a 1.401-fold increase in pancreatic cancer risk (p &lt; 0.05). We conclude that the polymorphism of XPD Lys751Gln (rs13181) in combination with smoking contributes to increased risk of pancreatic cancer in the Chinese Han population. Haplotype AGG might be a susceptibility haplotype for pancreatic cancer.
DOI: 10.6084/m9.figshare.6152318
title: X-ray dynamic observation of cervical degenerative disease induced by unbalanced dynamic and static forces in rats

description: Abstract Purpose: To investigate dynamically the X-ray appearance of cervical degenerative disease induced by unbalanced dynamic and static forces in rats. Methods: A total of 60 Sprague Dawley rats were randomized into test (n=45) and control (n=15) groups, which were randomly subdivided into the one-, three- and six-month post-operative groups. The test group included 10, 15 and 20 rats at the respective corresponding post-operative stage and the control group included five rats at each time-point. By excising cervicodorsal muscles, interspinous ligaments and supraspinous ligament of rats in the test group, the balance of dynamic and static forces on cervical vertebrae was disrupted to establish a rat model of cervical degeneration. Spinal X-ray images were acquired, and intervertebral disc space and intervertebral foramen size were measured at one, three and six months post-operation. The results were analyzed and compared among groups. Results: Cervical dynamic and static imbalance accelerated the appearance of cervical degenerative disease on X-ray. Conclusion: Cervical degenerative disease may be induced by unbalanced dynamic and static forces in rats.
DOI: 10.6084/m9.figshare.6152318.v1
title: X-ray dynamic observation of cervical degenerative disease induced by unbalanced dynamic and static forces in rats

description: Abstract Purpose: To investigate dynamically the X-ray appearance of cervical degenerative disease induced by unbalanced dynamic and static forces in rats. Methods: A total of 60 Sprague Dawley rats were randomized into test (n=45) and control (n=15) groups, which were randomly subdivided into the one-, three- and six-month post-operative groups. The test group included 10, 15 and 20 rats at the respective corresponding post-operative stage and the control group included five rats at each time-point. By excising cervicodorsal muscles, interspinous ligaments and supraspinous ligament of rats in the test group, the balance of dynamic and static forces on cervical vertebrae was disrupted to establish a rat model of cervical degeneration. Spinal X-ray images were acquired, and intervertebral disc space and intervertebral foramen size were measured at one, three and six months post-operation. The results were analyzed and compared among groups. Results: Cervical dynamic and static imbalance accelerated the appearance of cervical degenerative disease on X-ray. Conclusion: Cervical degenerative disease may be induced by unbalanced dynamic and static forces in rats.
DOI: 10.6084/m9.figshare.6152369
title: Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction

description: Abstract This study aimed to use gene chips to investigate differential gene expression profiles in the occurrence and development of acute myocardial infarction (AMI). The study included 12 AMI patients and 12 healthy individuals. Total mRNA of peripheral bloodwas extracted and reversed-transcribed to cDNA for microarray analysis. After establishing two pools with three subjects each (3 AMI patients and 3 healthy individuals), the remaining samples were used for RT-qPCR to confirm the microarray data. From the microarray results, seven genes were randomly selected for RT-qPCR. RT-qPCR results were analyzed by the 2-ΔΔCt method. Microarray analysis showed that 228 genes were up- regulated and 271 were down-regulated (p ≤ 0.05, |logFC| &gt; 1). Gene ontology showed that these genes belong to 128 cellular components, 521 biological processes, and 151 molecular functions. KEGG pathway analysis showed that these genes are involved in 107 gene pathways. RT-qPCR results for the seven genes showed expression levels consistent with those obtained by microarray. Thus, microarray data could be used to select the pathogenic genes for AMI. Investigating the abnormal expression of these differentially expressed genes might suggest efficient strategies for the prevention, diagnosis, and treatment of AMI.
DOI: 10.6084/m9.figshare.6152369.v1
title: Differential gene expression profiles in peripheral blood in Northeast Chinese Han people with acute myocardial infarction

description: Abstract This study aimed to use gene chips to investigate differential gene expression profiles in the occurrence and development of acute myocardial infarction (AMI). The study included 12 AMI patients and 12 healthy individuals. Total mRNA of peripheral bloodwas extracted and reversed-transcribed to cDNA for microarray analysis. After establishing two pools with three subjects each (3 AMI patients and 3 healthy individuals), the remaining samples were used for RT-qPCR to confirm the microarray data. From the microarray results, seven genes were randomly selected for RT-qPCR. RT-qPCR results were analyzed by the 2-ΔΔCt method. Microarray analysis showed that 228 genes were up- regulated and 271 were down-regulated (p ≤ 0.05, |logFC| &gt; 1). Gene ontology showed that these genes belong to 128 cellular components, 521 biological processes, and 151 molecular functions. KEGG pathway analysis showed that these genes are involved in 107 gene pathways. RT-qPCR results for the seven genes showed expression levels consistent with those obtained by microarray. Thus, microarray data could be used to select the pathogenic genes for AMI. Investigating the abnormal expression of these differentially expressed genes might suggest efficient strategies for the prevention, diagnosis, and treatment of AMI.
DOI: 10.6084/m9.figshare.6153047
title: Additional file 1: of Prediction of microRNA-disease associations based on distance correlation set

description: The known lncRNA-disease associations for constructing the DS1. We list 583 known lncRNA-disease associations which were collected from LncRNAdisease dataset to construct the DS1. (XLS 58Â kb)
DOI: 10.6084/m9.figshare.6153047.v1
title: Additional file 1: of Prediction of microRNA-disease associations based on distance correlation set

description: The known lncRNA-disease associations for constructing the DS1. We list 583 known lncRNA-disease associations which were collected from LncRNAdisease dataset to construct the DS1. (XLS 58Â kb)
DOI: 10.6084/m9.figshare.6153056.v1
title: Additional file 10: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S8. Pathway enrichment analysis of the genes included in PPI networks. Pathway enrichment analysis for methylated genes and related genes included in PPI networks. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153056
title: Additional file 10: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S8. Pathway enrichment analysis of the genes included in PPI networks. Pathway enrichment analysis for methylated genes and related genes included in PPI networks. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153062
title: Additional file 2: of Prediction of microRNA-disease associations based on distance correlation set

description: The known lncRNA-disease associations for constructing the DS2. We list 702 known lncRNA-disease associations which were collected from MNDR dataset to construct the DS2. (XLS 63Â kb)
DOI: 10.6084/m9.figshare.6153062.v1
title: Additional file 2: of Prediction of microRNA-disease associations based on distance correlation set

description: The known lncRNA-disease associations for constructing the DS2. We list 702 known lncRNA-disease associations which were collected from MNDR dataset to construct the DS2. (XLS 63Â kb)
DOI: 10.6084/m9.figshare.6153068
title: Additional file 11: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S9. Selected genes with multiple hypermethylated CpG sites in PPAT with obese/overweight. The table shows the 38 selected genes which have multiple hypermethylated CpG sites. (XLSX 24 kb)
DOI: 10.6084/m9.figshare.6153068.v1
title: Additional file 11: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S9. Selected genes with multiple hypermethylated CpG sites in PPAT with obese/overweight. The table shows the 38 selected genes which have multiple hypermethylated CpG sites. (XLSX 24 kb)
DOI: 10.6084/m9.figshare.6153077
title: Additional file 3: of Prediction of microRNA-disease associations based on distance correlation set

description: The integrated lncRNA-disease associations for constructing the DS3. We list 1073 lncRNA-disease associations which were collected by integrating the datasets of DS1 and DS2. (XLS 83Â kb)
DOI: 10.6084/m9.figshare.6153077.v1
title: Additional file 3: of Prediction of microRNA-disease associations based on distance correlation set

description: The integrated lncRNA-disease associations for constructing the DS3. We list 1073 lncRNA-disease associations which were collected by integrating the datasets of DS1 and DS2. (XLS 83Â kb)
DOI: 10.6084/m9.figshare.6153086
title: Additional file 12: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S10. Pathway enrichment analysis of the selected genes with multiple hypermethylated CpG sites. Pathway enrichment analysis for the 38 selected genes which have multiple hypermethylated CpG sites. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153086.v1
title: Additional file 12: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S10. Pathway enrichment analysis of the selected genes with multiple hypermethylated CpG sites. Pathway enrichment analysis for the 38 selected genes which have multiple hypermethylated CpG sites. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153092
title: Additional file 4: of Prediction of microRNA-disease associations based on distance correlation set

description: The known lncRNA-miRNA associations for constructing the DS4. We list 1883 known lncRNA-miRNA associations which were collected from starBasev2.0 database to construct the DS4. (XLS 123Â kb)
DOI: 10.6084/m9.figshare.6153092.v1
title: Additional file 4: of Prediction of microRNA-disease associations based on distance correlation set

description: The known lncRNA-miRNA associations for constructing the DS4. We list 1883 known lncRNA-miRNA associations which were collected from starBasev2.0 database to construct the DS4. (XLS 123Â kb)
DOI: 10.6084/m9.figshare.6153095
title: Additional file 13: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S11. Pathway enrichment analysis of the overlapping genes. Pathway enrichment analysis for the 14 overlapping genes. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153095.v1
title: Additional file 13: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S11. Pathway enrichment analysis of the overlapping genes. Pathway enrichment analysis for the 14 overlapping genes. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153104
title: Additional file 5: of Prediction of microRNA-disease associations based on distance correlation set

description: The known miRNA-disease associations for constructing the DS5. We list 3252 high-quality miRNA-disease associations which were collected from HMDD database to validate the performance of our method. (XLS 191Â kb)
DOI: 10.6084/m9.figshare.6153104.v1
title: Additional file 5: of Prediction of microRNA-disease associations based on distance correlation set

description: The known miRNA-disease associations for constructing the DS5. We list 3252 high-quality miRNA-disease associations which were collected from HMDD database to validate the performance of our method. (XLS 191Â kb)
DOI: 10.6084/m9.figshare.6153110
title: Additional file 14: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S12. GO molecular function analysis of the overlapping genes. GO molecular function analyses for the 14 overlapping genes. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153110.v1
title: Additional file 14: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S12. GO molecular function analysis of the overlapping genes. GO molecular function analyses for the 14 overlapping genes. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153146
title: Additional file 2: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S1. Differentially methylated CpG sites in PPAT between obese/overweight PCa patients and normal weight controls. The table shows 5526 DMCs in PPAT between obese/overweight PCa patients and normal weight patients, which were identified by using the “Limma” method. (XLSX 663 kb)
DOI: 10.6084/m9.figshare.6153146.v1
title: Additional file 2: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S1. Differentially methylated CpG sites in PPAT between obese/overweight PCa patients and normal weight controls. The table shows 5526 DMCs in PPAT between obese/overweight PCa patients and normal weight patients, which were identified by using the “Limma” method. (XLSX 663 kb)
DOI: 10.6084/m9.figshare.6153173
title: Additional file 4: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S2. Distribution of differentially methylated CpG sites in relation to the nearest gene regions. The table shows the distribution of DMCs according to the relation to the nearest gene regions. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6153173.v1
title: Additional file 4: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S2. Distribution of differentially methylated CpG sites in relation to the nearest gene regions. The table shows the distribution of DMCs according to the relation to the nearest gene regions. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6153191
title: Additional file 5: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S3. Distribution of differentially methylated CpG sites in relation to CpG islands. The table shows the distribution of DMCs according to the relation to CpG islands. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153191.v1
title: Additional file 5: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S3. Distribution of differentially methylated CpG sites in relation to CpG islands. The table shows the distribution of DMCs according to the relation to CpG islands. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153206
title: Additional file 6: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S4. Differentially methylated CpG sites located at both gene promoters and CpG islands. This table shows the 483 DMCs which locate at both gene promoters and CpG islands. (XLSX 76 kb)
DOI: 10.6084/m9.figshare.6153206.v1
title: Additional file 6: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S4. Differentially methylated CpG sites located at both gene promoters and CpG islands. This table shows the 483 DMCs which locate at both gene promoters and CpG islands. (XLSX 76 kb)
DOI: 10.6084/m9.figshare.6153218
title: Additional file 7: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S5. GO biological process analysis of promoter hypermethylated genes. GO biological process analysis for 404 promoter hypermethylated genes. (XLSX 18 kb)
DOI: 10.6084/m9.figshare.6153218.v1
title: Additional file 7: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S5. GO biological process analysis of promoter hypermethylated genes. GO biological process analysis for 404 promoter hypermethylated genes. (XLSX 18 kb)
DOI: 10.6084/m9.figshare.6153230
title: Additional file 8: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S6. GO molecular function analysis of promoter hypermethylated genes. GO molecular function analysis for 404 promoter hypermethylated genes. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153230.v1
title: Additional file 8: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S6. GO molecular function analysis of promoter hypermethylated genes. GO molecular function analysis for 404 promoter hypermethylated genes. (XLSX 13 kb)
DOI: 10.6084/m9.figshare.6153236
title: Additional file 9: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S7. Pathway enrichment analysis of promoter hypermethylated genes. Pathway enrichment analysis for 404 promoter hypermethylated genes. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6153236.v1
title: Additional file 9: of Epigenome-wide DNA methylation profiling of periprostatic adipose tissue in prostate cancer patients with excess adiposity—a pilot study

description: Table S7. Pathway enrichment analysis of promoter hypermethylated genes. Pathway enrichment analysis for 404 promoter hypermethylated genes. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6157718
title: Supplemental materials of G3/2018/200298 manuscript: Multiple arginine residues are methylated in Drosophila Mre11 and required for survival following ionizing radiation

description: Supplemental materials of Multiple arginine residues are methylated in Drosophila Mre11 and required for survival following ionizing radiation
DOI: 10.5281/zenodo.10843495
title: Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition

description: This repository contains the data and source code used in the research paper, "Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition".
DOI: 10.5281/zenodo.10843496
title: Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition

description: This repository contains the data and source code used in the research paper, "Forecasting Adversarial Actions Using Judgment Decomposition-Recomposition".
DOI: 10.6084/m9.figshare.6157718.v2
title: Supplemental materials of G3/2018/200298 manuscript: Multiple arginine residues are methylated in Drosophila Mre11 and required for survival following ionizing radiation

description: Supplemental materials of Multiple arginine residues are methylated in Drosophila Mre11 and required for survival following ionizing radiation