cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.10265387.v1
title: A Meta-Analysis of Cardiovascular Events Associated with Intravitreal Anti-VEGF Treatment in Patients with Retinal Vein Occlusion

description: <b>Purpose</b>: Retinal vein occlusion is associated with an increased risk of cardiovascular diseases. Anti-vascular endothelial growth factor has been widely used as a treatment option. However, the systemic safety of intravitreal anti-vascular endothelial growth factor for retinal vein occlusion patients is still unclear. <b>Materials and Methods</b>: A meta-analysis was conducted to investigate all randomized controlled trials published up to February 2019 of retinal vein occlusion patients who received intravitreal anti-vascular endothelial growth factor vs. control treatments. Fixed effect models were used and results were reported as odds ratios and 95% confidence intervals. <b>Results</b>: Eight trials that evaluated 2320 patients were retrieved. Anti-vascular endothelial growth factor did not significantly increase the risks of cardiovascular events (odds ratio,1.54; 95% confidence interval, 0.66–3.57), hypertension (odds ratio, 0.92; 95% confidence interval, 0.63–1.33), or heart rate disorders (odds ratio,1.53; 95% confidence interval, 0.37–6.28) when compared with control treatment. Subgroup analyses did not show a significant increase of cardiovascular events in aflibercept (odds ratio,1.96; 95% confidence interval, 0.44–8.81) vs. ranibizumab trials (odds ratio, 1.47; 95% confidence interval, 0.54–4.02); 0.5 mg ranibizumab trials (odds ratio, 1.73; 95% confidence interval, 0.61–4.96) vs. 0.3 mg ranibizumab trials (odds ratio, 0.70; 95% confidence interval, 0.14–3.59); nor branch retinal vein occlusion (odds ratio, 1.32; 95% confidence interval, 0.40–4.33) vs. central retinal vein occlusion trials (odds ratio, 1.93; 95% confidence interval, 0.59–6.29). <b>Conclusions</b>: Intravitreal administration of anti-vascular endothelial growth factor did not significantly increase the risks of cardiovascular events, hypertension or heart rate disorders in retinal vein occlusion patients.
DOI: 10.6084/m9.figshare.21926421.v1
title: RNA-Sequencing Predicts a Role of Androgen Receptor and Aldehyde Dehydrogenase 1A1 in Osteosarcoma Lung Metastases

description: Metadata file submitted to GEO. Raw data available in NCBI’s Gene Expression Omnibus database under accession number GSE220538.
DOI: 10.6084/m9.figshare.17254014.v1
title: Additional file 4 of The Dawn of next generation DNA sequencing in myelodysplastic syndromes- experience from Pakistan

description: Additional file 4.
DOI: 10.6084/m9.figshare.11313971
title: Identification of differentially expressed microRNAs in middle-size ovarian follicles of Meishan and Duroc sows

description: ABSTRACT This study aimed to investigate the roles of miRNA in the development of ovarian follicles in sows with high ovulation rate. The miRNA expression profiles in middle-size ovarian follicles between Meishan and Duroc sows were characterized by Affymetrix miRNA GeneChip. Seven differentially expressed miRNA were identified. KEGG pathways analyzed the predicted target genes of differentially expressed miRNA by using the DAVID website. The MAPK signaling pathway may affect the process of ovarian follicle development. Our study suggested that miR-21, miR-199a, miR-708, and miR-4334 might play a vital role in the development of ovarian follicles of sow.
DOI: 10.6084/m9.figshare.11313971.v1
title: Identification of differentially expressed microRNAs in middle-size ovarian follicles of Meishan and Duroc sows

description: ABSTRACT This study aimed to investigate the roles of miRNA in the development of ovarian follicles in sows with high ovulation rate. The miRNA expression profiles in middle-size ovarian follicles between Meishan and Duroc sows were characterized by Affymetrix miRNA GeneChip. Seven differentially expressed miRNA were identified. KEGG pathways analyzed the predicted target genes of differentially expressed miRNA by using the DAVID website. The MAPK signaling pathway may affect the process of ovarian follicle development. Our study suggested that miR-21, miR-199a, miR-708, and miR-4334 might play a vital role in the development of ovarian follicles of sow.
DOI: 10.6084/m9.figshare.17254014
title: Additional file 4 of The Dawn of next generation DNA sequencing in myelodysplastic syndromes- experience from Pakistan

description: Additional file 4.
DOI: 10.5281/zenodo.10669516
title: Kinetics study of rce draft_reaction parameter fitting_lsqcurvefit

description: Matlab dataset
DOI: 10.5281/zenodo.10669515
title: Kinetics study of rce draft_reaction parameter fitting_lsqcurvefit

description: Matlab dataset
DOI: 10.6084/m9.figshare.11312744
title: Population Grid for China SSP1RCP4.5

description: Population Grid for China under SSP1RCP4.5 from 2010 to 2100
DOI: 10.6084/m9.figshare.11312753.v1
title: Population Grid for China SSP3RCP4.5

description: Population Grid for China under SSP3RCP4.5 from 2010 to 2100
DOI: 10.6084/m9.figshare.17079541
title: Additional file 1 of Are we there yet? A machine learning architecture to predict organotropic metastases

description: Additional file 1. MOT data tables. Table S1: Tumor vs. Normal metrics: For six tumor types we show the model can detect tumor vs. normal transcriptomic expression profiles. Table S2: Site Specific classification: Site specific metastatic classification metrics. Table S3: Positive and Negative metrics for T/N transcriptomes site specific metastases. Table S4: All binary classification confusion matrices. Table S5: Top 1K selected features for site specific metastases predictions. Table S6: Enriched GO IDs in organotropic metastases. Table S7: Intersection of overrepresented GO processes measured by Fisher’s exact test.
DOI: 10.25442/hku.25108190
title: Supporting data for Medicinal Chemistry of Group 15: Anticancer Mechanism of Arsenic and Antimicrobial Bismuth Combination Therapy

description: This dataset includes data from the three research topics on anticancer mechanism studies, antimicrobial agent studies, and porous material characteristic studies. This includes protein data from UniProt human proteome database, gene ontology analysis, protein-protein interaction analysis, susceptibility testing, time-kill testing, cytotoxicity testing, single crystal x-ray diffraction analysis, ICP-MS analysis, in vivo testing, and so on.
DOI: 10.25442/hku.25108190.v1
title: Supporting data for Medicinal Chemistry of Group 15: Anticancer Mechanism of Arsenic and Antimicrobial Bismuth Combination Therapy

description: This dataset includes data from the three research topics on anticancer mechanism studies, antimicrobial agent studies, and porous material characteristic studies. This includes protein data from UniProt human proteome database, gene ontology analysis, protein-protein interaction analysis, susceptibility testing, time-kill testing, cytotoxicity testing, single crystal x-ray diffraction analysis, ICP-MS analysis, in vivo testing, and so on.
DOI: 10.25442/hku.25127429
title: Raw data for PhD Study (Hu Yumei)

description: Raw data for the PhD Study, including X-ray, CV, UV-visible absorption and emission, OLED, TGA and NMR data of the compounds.
DOI: 10.25442/hku.25127429.v1
title: Raw data for PhD Study (Hu Yumei)

description: Raw data for the PhD Study, including X-ray, CV, UV-visible absorption and emission, OLED, TGA and NMR data of the compounds.
DOI: 10.25442/hku.25150472
title: Supporting data for "Using deep learning to quantify total scores of cerebral small vessel disease (CSVD) in a stroke cohort

description: Cerebral small vessels include the arterioles, capillaries, and venules in the brain, which are essential for controlling cerebral blood flow and maintaining brain homeostasis. Diseases related to these vessels are defined as cerebral small vessel disease (CSVD). CSVD has multiple clinical presentations, including cognitive impairment, gait disturbance, and acute ischemic stroke or transient ischemic attack. MRI features of CSVD include recent small subcortical infarct (RSSI), lacunes, enlarged perivascular space (EPVS), white matter hyperintensities (WMH), and cerebral microbleeds (CMB).
To evaluate the total CSVD load in patients, a score is applied to assess each subtype of CSVD. However, it is very tedious and time-consuming to label these by hand. This project proposed an auto pipeline for the computer-assisted detection of CSVD using deep learning on a large dataset of local stroke patients. A total number of 974 subjects—all of whom had been clinically diagnosed with transient ischemic attack or ischemic stroke—were recruited in this study. An external testing cohort comprising 48 stroke patients was also collected for this study. These patients all underwent scanning at the local MRI unit and all patients were well-informed about this research and provided signed consent. All the MRI data were processed under the standards of the local MRI unit.This thesis represents the first attempt to employ deep learning methods for the automated detection of total CSVD scores in a comparatively large cohort of stroke patients. The dataset utilized encompasses all subtypes of CSVD and was meticulously labeled by experienced clinical practitioners. This project provides a thorough and detailed application of deep learning detection on medical images and potentially opens avenues for robust applications in the field of AI-medicine.
DOI: 10.25442/hku.25150472.v1
title: Supporting data for "Using deep learning to quantify total scores of cerebral small vessel disease (CSVD) in a stroke cohort

description: Cerebral small vessels include the arterioles, capillaries, and venules in the brain, which are essential for controlling cerebral blood flow and maintaining brain homeostasis. Diseases related to these vessels are defined as cerebral small vessel disease (CSVD). CSVD has multiple clinical presentations, including cognitive impairment, gait disturbance, and acute ischemic stroke or transient ischemic attack. MRI features of CSVD include recent small subcortical infarct (RSSI), lacunes, enlarged perivascular space (EPVS), white matter hyperintensities (WMH), and cerebral microbleeds (CMB).
To evaluate the total CSVD load in patients, a score is applied to assess each subtype of CSVD. However, it is very tedious and time-consuming to label these by hand. This project proposed an auto pipeline for the computer-assisted detection of CSVD using deep learning on a large dataset of local stroke patients. A total number of 974 subjects—all of whom had been clinically diagnosed with transient ischemic attack or ischemic stroke—were recruited in this study. An external testing cohort comprising 48 stroke patients was also collected for this study. These patients all underwent scanning at the local MRI unit and all patients were well-informed about this research and provided signed consent. All the MRI data were processed under the standards of the local MRI unit.This thesis represents the first attempt to employ deep learning methods for the automated detection of total CSVD scores in a comparatively large cohort of stroke patients. The dataset utilized encompasses all subtypes of CSVD and was meticulously labeled by experienced clinical practitioners. This project provides a thorough and detailed application of deep learning detection on medical images and potentially opens avenues for robust applications in the field of AI-medicine.
DOI: 10.25442/hku.25117298
title: Supporting data for "EXPLORATION OF 3-NITROTYROSINE AND 3-AMINOTYROSINE-CONTAINING PROTEINS WITH A SYNTHETIC PROBE"

description: In our study, we focus on developing a new method to identify some proteins with tyrosine modifications using synthetic probes. Tyrosine, a vital amino acid that comprises approximately 3.2% of protein composition, is subject to a range of post-translational modifications (PTMs), including nitration, phosphorylation, hydroxylation, halogenation, and sulfation. These PTMs play crucial roles in regulating protein functions, cellular signalling, homeostasis, and a host of biological processes. A well-studied PTM, protein tyrosine nitration (PTN), arises from oxidative and nitrative stress. Therefore, we developed a selective detection method using a synthetic probe to identify proteins with tyrosine modification. Utilizing the probe, we successfully labelled and enriched numerous proteins with tyrosine modifications in RAW264.7 cells. Afterwards, we selected two targets for further investigation into the effects of tyrosine modifications on their functions. By using the purifying site-specific modified proteins, it revealed that tyrosine modification indeed affected protein function at different sites.
DOI: 10.25442/hku.25117298.v1
title: Supporting data for "EXPLORATION OF 3-NITROTYROSINE AND 3-AMINOTYROSINE-CONTAINING PROTEINS WITH A SYNTHETIC PROBE"

description: In our study, we focus on developing a new method to identify some proteins with tyrosine modifications using synthetic probes. Tyrosine, a vital amino acid that comprises approximately 3.2% of protein composition, is subject to a range of post-translational modifications (PTMs), including nitration, phosphorylation, hydroxylation, halogenation, and sulfation. These PTMs play crucial roles in regulating protein functions, cellular signalling, homeostasis, and a host of biological processes. A well-studied PTM, protein tyrosine nitration (PTN), arises from oxidative and nitrative stress. Therefore, we developed a selective detection method using a synthetic probe to identify proteins with tyrosine modification. Utilizing the probe, we successfully labelled and enriched numerous proteins with tyrosine modifications in RAW264.7 cells. Afterwards, we selected two targets for further investigation into the effects of tyrosine modifications on their functions. By using the purifying site-specific modified proteins, it revealed that tyrosine modification indeed affected protein function at different sites.
DOI: 10.6084/m9.figshare.24421330
title: Characteristics of the complete chloroplast genome of <i>Swertia divaricata</i> Harry Sm. (Gentianaceae) and its phylogenetic inference

description: <i>Swertia divaricata</i> Harry Sm., 1965, (Gentianaceae) is a perennial herb endemic to Northwest Yunnan, China, belonging to the species-rich genus <i>Swertia</i>. It possesses unique morphological features but its systematic position remains uncertain. To determine its phylogenetic placement, the complete plastid genome of <i>S. divaricata</i> was assembled utilizing high-throughput sequencing data. The genome is circular, spanning 152,073 bp, and comprises a large single-copy (LSC) region of 82,470 bp, a small single-copy (SSC) region of 18,153 bp, and two inverted repeats (IR) regions, each 25,725 bp. A total of 130 genes were annotated, including 85 protein-coding genes, 37 tRNA genes, and eight rRNA genes. The plastome of <i>S. divaricata</i> exhibits a structure and gene composition highly similar to those of other <i>Swertia</i> plastomes. Phylogenetic analysis indicated that <i>S. divaricata</i> is closely related to <i>S. erythrosticta</i>, sister to a subclade comprising species from sections <i>Swertia</i> and <i>Apterae</i>. The plastome sequence described herein constitutes a valuable contribution to phylogenetic and evolutionary research on <i>Swertia</i>.
DOI: 10.6084/m9.figshare.24421330.v1
title: Characteristics of the complete chloroplast genome of <i>Swertia divaricata</i> Harry Sm. (Gentianaceae) and its phylogenetic inference

description: <i>Swertia divaricata</i> Harry Sm., 1965, (Gentianaceae) is a perennial herb endemic to Northwest Yunnan, China, belonging to the species-rich genus <i>Swertia</i>. It possesses unique morphological features but its systematic position remains uncertain. To determine its phylogenetic placement, the complete plastid genome of <i>S. divaricata</i> was assembled utilizing high-throughput sequencing data. The genome is circular, spanning 152,073 bp, and comprises a large single-copy (LSC) region of 82,470 bp, a small single-copy (SSC) region of 18,153 bp, and two inverted repeats (IR) regions, each 25,725 bp. A total of 130 genes were annotated, including 85 protein-coding genes, 37 tRNA genes, and eight rRNA genes. The plastome of <i>S. divaricata</i> exhibits a structure and gene composition highly similar to those of other <i>Swertia</i> plastomes. Phylogenetic analysis indicated that <i>S. divaricata</i> is closely related to <i>S. erythrosticta</i>, sister to a subclade comprising species from sections <i>Swertia</i> and <i>Apterae</i>. The plastome sequence described herein constitutes a valuable contribution to phylogenetic and evolutionary research on <i>Swertia</i>.
DOI: 10.6084/m9.figshare.7119896
title: CoNi metal-organic frameworks monolayers: metal nodes-dependent photocatalytic CO2-to-CO conversion

description: Metal-organic frameworks (MOFs) are emerging as promising catalysts towards CO2 photoreduction for providing high-density metal nodes as catalytic active sites. However, an in-depth understanding of metal nodes effect in CO2 photoreduction is still lacking. Through constructing a set of isostructural CoNi based MOFs monolayers (MOLs), herein we unravel the intrinsic relationships between metal nodes and CO2 photoreduction performance. Ni MOLs exhibits spectacular CO selectivity of 97.8 % with a highest apparent quantum yield of 2.2 % among analogous systems, significantly higher than those of Co MOLs. Experiments in dilute CO2 further amplify the superiority of Ni MOLs. Experimental and theoretical investigation demonstrate that initial adsorption of CO2 molecules onto MOLs is the pivotal step. The strong CO2 binding affinity of Ni MOLs is beneficial to stabilize the metal-CO2 adducts and facilitate CO2-to-CO conversion. The universality of the superiority of Ni for CO2 photoreduction has been further demonstrated. This work provides fundamental guidance for the rational design of metal-organic catalysts towards solar-to-fuels conversion.
DOI: 10.6084/m9.figshare.24945732
title: Data of “Using Iron Stable Isotopes to Quantify the Origins of the Cryoconite Iron Materials in Western China and Exploring Controlling Factors”.docx

description: The Iron isotope data was used for interpreting the origin of croyoconite iron-bearing materials deposited onto the glacier surface of western China.
DOI: 10.6084/m9.figshare.11312741
title: Population Grid for China SSP1RCP2.6

description: Population Grid for China under SSP1RCP2.6 from 2010 to 2100
DOI: 10.6084/m9.figshare.11312753
title: Population Grid for China SSP3RCP4.5

description: Population Grid for China under SSP3RCP4.5 from 2010 to 2100
DOI: 10.6084/m9.figshare.11312744.v1
title: Population Grid for China SSP1RCP4.5

description: Population Grid for China under SSP1RCP4.5 from 2010 to 2100
DOI: 10.6084/m9.figshare.20224825.v1
title: Additional file 1 of Diminazene aceturate mitigates cardiomyopathy by interfering with renin-angiotensin system in a septic rat model

description: Additional file 1.
DOI: 10.6084/m9.figshare.12885721.v1
title: Additional file 2 of The fusiform gyrus exhibits an epigenetic signature for Alzheimer’s disease

description: Additional file 2: Table S1. ST1_DEG_of_4_brain_reigons.xls.
DOI: 10.6084/m9.figshare.12885727.v1
title: Additional file 4 of The fusiform gyrus exhibits an epigenetic signature for Alzheimer’s disease

description: Additional file 4: Table S3. ST3_Venn_common_genes_in_FUS_and_AD-Ns.xlsx.
DOI: 10.6084/m9.figshare.12885695.v1
title: Additional file 1 of Genome-wide association study reveals the genetic basis of fiber quality traits in upland cotton (Gossypium hirsutum L.)

description: Additional file 1: Table S1. Analysis of variance (ANOVA) of the cotton fiber quality traits. Table S2. Significant SNPs detected for cotton fiber quality traits by a GWAS. Table S3. Comparisons of the QTLs identified in this study with those identified in previous studies. Table S4. Annotation information of these genes in the QTL regions. Table S5. Primer sequences for RT-qPCR in this study.
DOI: 10.6084/m9.figshare.5545654
title: Origin of Early Cretaceous Guandian adakitic pluton in central eastern China: partial melting of delaminated lower continental crust triggered by ridge subduction

description: Early Cretaceous adakite or adakitic plutons are widely distributed in central eastern China, e.g. lower Yangtze river belt (LYRB), the south Tan–Lu fault (STLF), and the Dabie orogen. Their genesis, however, remains controversial. In this contribution, we present detailed geochemical and geochronological study on the Guandian pluton in central Anhui Province, eastern China, which has been formerly regarded as a part of the north belt in the LYRB and lately classified in the STLF. Namely, it is located near the boundary between ridge subduction related slab melting and partial melting of lower continental crust (LCC). The Guandian pluton consists of quartz monzonite and is metaluminous and high-K calc-alkaline according to the chemical composition. The samples show high SiO<sub>2</sub> (59.15–62.32%), Al<sub>2</sub>O<sub>3</sub> (14.51–15.39%), Sr (892–1184 ppm), Sr/Y (56.74–86.32), and low Y (12.65–18.05 ppm), similar to typical geochemical features of adakite. The Guandian adakitic rocks also exhibit high K<sub>2</sub>O (2.88–3.86%), MgO (3.89–5.24%), and Mg# (55–60), negative anomalies of high field strength elements (e.g. Nb, Ta, and Ti), and positive anomalies of Ba, Pb, and Sr. LA-ICP-MS zircon U–Pb dating yielded a weighted average age of 129.2 ± 0.7 Ma. Calculations of zircon Ce<sup>4+</sup>/Ce<sup>3+</sup> (6.97–145) and (Eu/Eu*)<sub>N</sub> (0.23–0.42) on the basis of <i>in situ</i> zircon trace element analysis indicate that the magma had a lower oxygen fugacity relative to the ore-bearing adakites in the LYRB and Dexing, which is consistent with the fact of ore-barren in the research area. In combination with previous research, we propose that Guandian adakitic pluton was formed by partial melting of delaminated LCC triggered by Early Cretaceous ridge subduction of the Pacific and Izanagi plates. During ridge subduction, physical erosion destructed the thickened LCC and resulted in delamination, while thermal erosion facilitated partial melting of the delaminated LCC.
DOI: 10.6084/m9.figshare.11312750
title: Population Grid for China SSP3RCP6

description: Population Grid for China under SSP3RCP6 from 2010 to 2100
DOI: 10.6084/m9.figshare.12885724.v1
title: Additional file 3 of The fusiform gyrus exhibits an epigenetic signature for Alzheimer’s disease

description: Additional file 3: Table S2. ST2_Top_DEG_in_heatmap_AD-risk-factor_TF.xlsx.
DOI: 10.6084/m9.figshare.12885733
title: Additional file 6 of The fusiform gyrus exhibits an epigenetic signature for Alzheimer’s disease

description: Additional file 6: Table S5. ST5_details_of_neurons_differentiation_protocols.xlsx.
DOI: 10.6084/m9.figshare.12885733.v1
title: Additional file 6 of The fusiform gyrus exhibits an epigenetic signature for Alzheimer’s disease

description: Additional file 6: Table S5. ST5_details_of_neurons_differentiation_protocols.xlsx.