cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24125127
title: Supplementary Material for: DNA methylation pattern in somatotroph pituitary neuroendocrine tumors

description: Introduction. Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study was aimed to investigate difference in DNA methylation pattern in subtypes of somatotroph PitNETs and its role in distinctive gene expression. Methods. Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying results of DNA methylation and gene expression. Results. Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of gene body and promoter. This subtype has lower methylation level of 5’ gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated, frequently GNAS-mutated while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ~50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, MMP16 and genes encoding ion channels and semaphorins. Conclusion. DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.
DOI: 10.6084/m9.figshare.24125130
title: Supplementary Material for: DNA methylation pattern in somatotroph pituitary neuroendocrine tumors

description: Introduction. Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study was aimed to investigate difference in DNA methylation pattern in subtypes of somatotroph PitNETs and its role in distinctive gene expression. Methods. Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying results of DNA methylation and gene expression. Results. Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of gene body and promoter. This subtype has lower methylation level of 5’ gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated, frequently GNAS-mutated while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ~50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, MMP16 and genes encoding ion channels and semaphorins. Conclusion. DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.
DOI: 10.6084/m9.figshare.24125130.v1
title: Supplementary Material for: DNA methylation pattern in somatotroph pituitary neuroendocrine tumors

description: Introduction. Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study was aimed to investigate difference in DNA methylation pattern in subtypes of somatotroph PitNETs and its role in distinctive gene expression. Methods. Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying results of DNA methylation and gene expression. Results. Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of gene body and promoter. This subtype has lower methylation level of 5’ gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated, frequently GNAS-mutated while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ~50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, MMP16 and genes encoding ion channels and semaphorins. Conclusion. DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.
DOI: 10.6084/m9.figshare.24125139
title: Supplementary Material for: DNA methylation pattern in somatotroph pituitary neuroendocrine tumors

description: Introduction. Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study was aimed to investigate difference in DNA methylation pattern in subtypes of somatotroph PitNETs and its role in distinctive gene expression. Methods. Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying results of DNA methylation and gene expression. Results. Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of gene body and promoter. This subtype has lower methylation level of 5’ gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated, frequently GNAS-mutated while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ~50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, MMP16 and genes encoding ion channels and semaphorins. Conclusion. DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.
DOI: 10.6084/m9.figshare.24125139.v1
title: Supplementary Material for: DNA methylation pattern in somatotroph pituitary neuroendocrine tumors

description: Introduction. Growth hormone secretion by sporadic somatotroph neuroendocrine pituitary tumors (PitNETs) is major cause of acromegaly. These tumors are relatively heterogenous in terms of histopathological and molecular features. Our previous transcriptomic profiling of somatotroph tumors revealed three distinct molecular subtypes. This study was aimed to investigate difference in DNA methylation pattern in subtypes of somatotroph PitNETs and its role in distinctive gene expression. Methods. Genome-wide DNA methylation was investigated in 48 somatotroph PitNETs with EPIC microarrays. Gene expression was assessed with RNAseq. Bisulfite pyrosequencing and qRT-PCR were used for verifying results of DNA methylation and gene expression. Results. Clustering tumor samples based on methylation data reflected the transcriptome-related classification. Subtype 1 tumors are densely granulated without GNAS mutation, characterized by high expression of NR5A1 (SF-1) and GIPR. The expression of both genes is correlated with specific methylation of gene body and promoter. This subtype has lower methylation level of 5’ gene regions and CpG islands than the remaining tumors. Subtype 2 PitNETs are densely granulated, frequently GNAS-mutated while those in subtype 3 are mainly sparsely granulated. Methylation/expression analysis indicates that ~50% genes located in differentially methylated regions are those differentially expressed between tumor subtypes. Correlation analysis revealed DNA methylation-controlled genes including CDKN1B, CCND2, EBF3, CDH4, CDH12, MGMT, STAT5A, PLXND1, PTPRE, MMP16 and genes encoding ion channels and semaphorins. Conclusion. DNA methylation profiling confirmed the existence of three molecular subtypes of somatotroph PitNETs. High expression of NR5A1 and GIPR in subtype 1 tumors is correlated with specific methylation of both genes.
DOI: 10.25442/hku.23909970
title: <i>Supporting data for</i> "Three-Dimensional Printing of Bilayer Microstructures"

description: This dataset is supporting materials for the thesis which introduces a strategy to 3D print bilayer multi-stimuli responsive microstructures. This dataset including the data contains the figures shown in Chapters 3, 4, and 5 in the thesis, including the microscope photographs of printing, SEM images, AFM data, Raman spectrum, confocal microscope images, humidity response data, and IR response data. The dataset described the morphology and stimuli-response performance of the printed bilayered microstructures. The data was collected from several instruments.
DOI: 10.25442/hku.23909970.v1
title: <i>Supporting data for</i> "Three-Dimensional Printing of Bilayer Microstructures"

description: This dataset is supporting materials for the thesis which introduces a strategy to 3D print bilayer multi-stimuli responsive microstructures. This dataset including the data contains the figures shown in Chapters 3, 4, and 5 in the thesis, including the microscope photographs of printing, SEM images, AFM data, Raman spectrum, confocal microscope images, humidity response data, and IR response data. The dataset described the morphology and stimuli-response performance of the printed bilayered microstructures. The data was collected from several instruments.
DOI: 10.5281/zenodo.4277014
title: Zusammenstellung deutscher Universitätsbibliographien

description: Die zur Verfügung gestellte Zusammenstellung deutscher Universitätsbibliographien entstand im Rahmen des studentischen Projekts "Zum State of the Art der Forschungsbibliographien an Bibliotheken" an der HTWK Leipzig. Kriterien zur Aufnahme eines Systems waren eine annähernde Vollständigkeit (oder vorhandene Mechanismen diese zu erreichen) und eine öffentliche Zugänglichkeit, also keine ausschließlich internen Systeme. Manche Angaben sind nur nach Abwägungen möglich gewesen, es sind also in Einzelfällen unterschiedliche Ansichten möglich. Da nicht alle Universitäten/Bibliotheken auf E-Mails geantwortet haben, konnte teilweise nur nach vorliegender Website entschieden werden. Deswegen gibt es keine Garantie auf Vollständigkeit. Die Ergebnisse der Recherche werden verbalisiert in folgendem Blogbeitrag zusammengefasst: https://blogs.tib.eu/wp/dini-ag-blog/2020/11/16/stand-hochschulbibliographien-universitaeten/#more-2347
DOI: 10.5281/zenodo.4659787
title: Zusammenstellung deutscher Universitätsbibliographien und Forschungsinformationssysteme

description: Die zur Verfügung gestellte Zusammenstellung deutscher Universitätsbibliographien und ähnlicher Portale entstand ursprünglich im Rahmen des studentischen Projekts "Zum State of the Art der Forschungsbibliographien an Bibliotheken" an der HTWK Leipzig und wird nun eigenständig aktualisiert und erweitert. Kriterien zur Aufnahme eines Systems waren eine annähernde Vollständigkeit (oder vorhandene Mechanismen diese zu erreichen) und eine öffentliche Zugänglichkeit, also keine ausschließlich internen Systeme. Manche Angaben sind nur nach Abwägungen möglich gewesen, es sind also in Einzelfällen unterschiedliche Ansichten möglich. Da nicht alle Universitäten/Bibliotheken auf E-Mails geantwortet haben, konnte teilweise nur nach vorliegender Website entschieden werden. Deswegen gibt es keine Garantie auf Vollständigkeit. In der zweiten Version wurden die jeweils verwendete Software und die Trefferzahlen ergänzt. Außerdem wird versucht, den aktuellsten Systemstart von dem Jahr zu trennen, welches als Zielmarke für die Vollständigkeit gewählt wurde.
DOI: 10.5281/zenodo.4277013
title: Zusammenstellung deutscher Universitätsbibliographien und Forschungsinformationssysteme

description: Die zur Verfügung gestellte Zusammenstellung deutscher Universitätsbibliographien und ähnlicher Portale entstand ursprünglich im Rahmen des studentischen Projekts "Zum State of the Art der Forschungsbibliographien an Bibliotheken" an der HTWK Leipzig und wird nun eigenständig aktualisiert und erweitert. Kriterien zur Aufnahme eines Systems waren eine annähernde Vollständigkeit (oder vorhandene Mechanismen diese zu erreichen) und eine öffentliche Zugänglichkeit, also keine ausschließlich internen Systeme. Manche Angaben sind nur nach Abwägungen möglich gewesen, es sind also in Einzelfällen unterschiedliche Ansichten möglich. Da nicht alle Universitäten/Bibliotheken auf E-Mails geantwortet haben, konnte teilweise nur nach vorliegender Website entschieden werden. Deswegen gibt es keine Garantie auf Vollständigkeit. In der zweiten Version wurden die jeweils verwendete Software und die Trefferzahlen ergänzt. Außerdem wird versucht, den aktuellsten Systemstart von dem Jahr zu trennen, welches als Zielmarke für die Vollständigkeit gewählt wurde.
DOI: 10.6084/m9.figshare.24125178
title: Supplementary Material for: A Knowledge Map of the Relationship between Diabetes and Stroke: A Bibliometric Analysis Study

description: Introduction: The correlation between diabetes and stroke has been studied extensively in epidemiological research. Here we used bibliometric software to visualize and analyze the literature related to diabetic stroke to provide an overview of the current state of research, hot spots, and future trends in the field. Methods: Based on the Web of Science Core Collection(WoSCC) database, we collected studies related to diabetic stroke from 2007 to May 2022. We used CiteSpace (version 6.1.R5), VOSviewer, and Sci-mago Graphica to create knowledge maps and conduct visual analyses on authors, countries, in-stitutions, cited references, and keywords, and Origin for statistical analysis. Results: We included a total of 5171 papers on diabetic stroke from the WoSCC database. Overall, there was a steady increase in the number of publications, with a high number of emerging scientists. The United States was the most productive and influential country, which dominated national col-laborations. The most common subject category was "neurology". In total, 12 major clusters were generated from the cited references. Keywords analysis showed that keywords related to post-stroke injury and treatment are those with the highest burst intensity and latest burst time. Conclusions: Individual disease treatment remains a hot topic and how to balance acute stroke treatment and glycemic control is currently a difficult clinical problem. At the same time, the mechanism of their interaction and the prevention and treatment of related causative factors remain a hot topic of current and future research.
DOI: 10.6084/m9.figshare.24125190
title: Supplementary Material for: A Knowledge Map of the Relationship between Diabetes and Stroke: A Bibliometric Analysis Study

description: Introduction: The correlation between diabetes and stroke has been studied extensively in epidemiological research. Here we used bibliometric software to visualize and analyze the literature related to diabetic stroke to provide an overview of the current state of research, hot spots, and future trends in the field. Methods: Based on the Web of Science Core Collection(WoSCC) database, we collected studies related to diabetic stroke from 2007 to May 2022. We used CiteSpace (version 6.1.R5), VOSviewer, and Sci-mago Graphica to create knowledge maps and conduct visual analyses on authors, countries, in-stitutions, cited references, and keywords, and Origin for statistical analysis. Results: We included a total of 5171 papers on diabetic stroke from the WoSCC database. Overall, there was a steady increase in the number of publications, with a high number of emerging scientists. The United States was the most productive and influential country, which dominated national col-laborations. The most common subject category was "neurology". In total, 12 major clusters were generated from the cited references. Keywords analysis showed that keywords related to post-stroke injury and treatment are those with the highest burst intensity and latest burst time. Conclusions: Individual disease treatment remains a hot topic and how to balance acute stroke treatment and glycemic control is currently a difficult clinical problem. At the same time, the mechanism of their interaction and the prevention and treatment of related causative factors remain a hot topic of current and future research.
DOI: 10.6084/m9.figshare.24125190.v1
title: Supplementary Material for: A Knowledge Map of the Relationship between Diabetes and Stroke: A Bibliometric Analysis Study

description: Introduction: The correlation between diabetes and stroke has been studied extensively in epidemiological research. Here we used bibliometric software to visualize and analyze the literature related to diabetic stroke to provide an overview of the current state of research, hot spots, and future trends in the field. Methods: Based on the Web of Science Core Collection(WoSCC) database, we collected studies related to diabetic stroke from 2007 to May 2022. We used CiteSpace (version 6.1.R5), VOSviewer, and Sci-mago Graphica to create knowledge maps and conduct visual analyses on authors, countries, in-stitutions, cited references, and keywords, and Origin for statistical analysis. Results: We included a total of 5171 papers on diabetic stroke from the WoSCC database. Overall, there was a steady increase in the number of publications, with a high number of emerging scientists. The United States was the most productive and influential country, which dominated national col-laborations. The most common subject category was "neurology". In total, 12 major clusters were generated from the cited references. Keywords analysis showed that keywords related to post-stroke injury and treatment are those with the highest burst intensity and latest burst time. Conclusions: Individual disease treatment remains a hot topic and how to balance acute stroke treatment and glycemic control is currently a difficult clinical problem. At the same time, the mechanism of their interaction and the prevention and treatment of related causative factors remain a hot topic of current and future research.
DOI: 10.17034/e1ed2cce-5fa1-4705-bec3-19f175f993f3
title: Dataset for "Cellulose as a functional additive to develop composite materials"

description: This dataset relates to the PhD thesis entitled "Cellulose as a functional additive to develop composite materials" (2024). This dataset contains: Raw data collected during the PhD project "Cellulose as a functional additive to develop composite materials" (2024) and used for statistical analysis in a statistical software - statistical evaluation not included. The data is split up into individual files, one for each chapter in the thesis where statistical analysis was performed (Chapter 2 to 5). File list: list all filenames, directory structure (for files) and brief description of all data files: *"Dataset for Cellulose as a functional additive to develop composite materials. Chapter 2: Establishment of the composition-processing-property relationship of cellulose-reinforced ethylene-vinyl alcohol composites manufactured via twin-screw extrusion." *"Dataset for Cellulose as a functional additive to develop composite materials. Chapter 3: Investigating the processing of cellulose reinforced polyamide 6 in high-shear twin screw extrusion" * "Dataset for Cellulose as a functional additive to develop composite materials. Chapter 4: Compression moulded and 3D printed cellulose reinforced polylactic acid composite specimens" * "Dataset for Cellulose as a functional additive to develop composite materials. Chapter 5: Nanocellulose-coated short glass fibre composites" Dataset files are available as individuals CSV files and one xlsx file. See readme file for further details.
DOI: 10.6084/m9.figshare.24125199
title: Supplementary Material for: Proposal of the second cutoff of serum carcinoembryonic antigen levels to stratify patients into low, intermediate, and high risks at recurrences after curative resection of gastric cancer

description: Introduction: Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are widely used for various cancers, with the cut-off values of 5.0 ng/mL and 37.0 IU/mL, respectively. However, these cutoff values are not for specific diseases or purposes but are uniformly used for any disease and any purpose . It is also unclear as to whether patients are at equal risk of recurrence if they are below the cutoff values. This study aimed to investigate the optimal cutoff of serum tumor markers in the stratification of recurrence risk after curative resection of gastric cancer. Methods: We constructed a nine-center integrated database of patients recieved gastrectomy between January 2010 and December 2014 with a 5-year follow-up period. We determined the cutoff value of preoperative serum tumor marker levels correlated with postoperative recurrences and evaluated its performance in risk stratification for recurrences in 948 patients with pStage II/III gastric cancer who underwent radical resection. Results: The hazard ratio for postoperative recurrences increased at two points of preoperative CEA levels; 3.6 ng/mL and 5.0 ng/mL, which were set as cutoffs. These two cutoffs stratified relapse-free survival into three levels. Conclusions: By adding a second cutoff value for preoperative serum CEA, which was proposed specifically for the prediction of recurrences, patients can be stratified into low-, intermediate-, and high-risk recurrences after curative resection of gastric cancer.