cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8792612.v1
title: Conserved microRNA mediates heating tolerance in germ cells versus surrounding somatic cells

description: Mammalian fertility is reduced during heat exposure in the summer, but is regained as temperatures decrease in the autumn again. However, the mechanism underlying the phenomenon remains unknown. We investigated heat stress tolerance of germ cells and their surrounding somatic cells, and discovered that microRNA ssc-ca-1 was upregulated after heat stress in cultured porcine granulosa cells (GCs), but not in serum-starved GCs. Ssc-ca-1 inhibited heat shock protein 70 (Hsp70) expression through its 3′- and 5′-UTRs. Although <i>Hsp70</i> mRNA transcription was induced in GCs by <i>in vivo</i> exposure to heat in the summer, ssc-ca-1 inhibited Hsp70 expression. In ovarian cultures, heat stress-induced Hsp70 expression in primordial but not in growing follicles; ssc-ca-1 expression did not change in primordial follicles, but increased in growing follicles. Consistently, ssc-ca-1 was present in testicular cells and exhibited the same function as in ovarian cells. It modulated the different Hsp70 expression between spermatogonial stem cells and Sertoli cells after scrotal heat stress. This mechanism is of relevance to mammalian fertility in parts of the world dominated by heat stress associated with global climate change.
DOI: 10.6084/m9.figshare.8792612.v2
title: Conserved microRNA mediates heating tolerance in germ cells versus surrounding somatic cells

description: Mammalian fertility is reduced during heat exposure in the summer, but is regained as temperatures decrease in the autumn again. However, the mechanism underlying the phenomenon remains unknown. We investigated heat stress tolerance of germ cells and their surrounding somatic cells, and discovered that microRNA ssc-ca-1 was upregulated after heat stress in cultured porcine granulosa cells (GCs), but not in serum-starved GCs. Ssc-ca-1 inhibited heat shock protein 70 (Hsp70) expression through its 3′- and 5′-UTRs. Although <i>Hsp70</i> mRNA transcription was induced in GCs by <i>in vivo</i> exposure to heat in the summer, ssc-ca-1 inhibited Hsp70 expression. In ovarian cultures, heat stress-induced Hsp70 expression in primordial but not in growing follicles; ssc-ca-1 expression did not change in primordial follicles, but increased in growing follicles. Consistently, ssc-ca-1 was present in testicular cells and exhibited the same function as in ovarian cells. It modulated the different Hsp70 expression between spermatogonial stem cells and Sertoli cells after scrotal heat stress. This mechanism is of relevance to mammalian fertility in parts of the world dominated by heat stress associated with global climate change.
DOI: 10.6084/m9.figshare.15086005
title: Additional file 8 of A chromosome-level genome assembly of Cairina moschata and comparative genomic analyses

description: Additional file 8: Table S6. 762 Muscovy duck-specific genes.
DOI: 10.6084/m9.figshare.15086005.v1
title: Additional file 8 of A chromosome-level genome assembly of Cairina moschata and comparative genomic analyses

description: Additional file 8: Table S6. 762 Muscovy duck-specific genes.
DOI: 10.6084/m9.figshare.25045553
title: Additional file 1 of Poly-3-hydroxybutyrate-co-3-hydroxyvalerate(PHBV)-Polyethylene glycol 20k(PEG20k) as a promising delivery system for PT2399 in the treatment of disc degeneration

description: Additional file 1: Supplementary Table 1. Modified Mouse Intervertebral Disc Histology Score.
DOI: 10.6084/m9.figshare.25045553.v1
title: Additional file 1 of Poly-3-hydroxybutyrate-co-3-hydroxyvalerate(PHBV)-Polyethylene glycol 20k(PEG20k) as a promising delivery system for PT2399 in the treatment of disc degeneration

description: Additional file 1: Supplementary Table 1. Modified Mouse Intervertebral Disc Histology Score.
DOI: 10.15129/edc06de3-4e78-4721-ba8d-1d81a748f1ff
title: Data for: "A multifunctional drug delivery system based on switchable peptide-stabilized emulsions"

description: Coarse-grained molecular dynamics data associated with peptide emulsions (CGMD.tar.gz), all-atom molecular dynamics simulation data associated with dihedral measurements with and without the presence of ions (All-Atom.tar.gz) and DFT data for peptide - ion binding (DFT.tar.gz).

Coarse-grained and all-atom molecular dynamics were created using the GROMACS software with the MARTINI and AMBER forcefields package while DFT data was obtained at wB97X/def2-TZVP level of theory using the ORCA software package.
DOI: 10.6084/m9.figshare.21129974
title: Additional file 3 of RETSAT associates with DDX39B to promote fork restarting and resistance to gemcitabine based chemotherapy in pancreatic ductal adenocarcinoma

description: Additional file 3.
DOI: 10.6084/m9.figshare.21129974.v1
title: Additional file 3 of RETSAT associates with DDX39B to promote fork restarting and resistance to gemcitabine based chemotherapy in pancreatic ductal adenocarcinoma

description: Additional file 3.
DOI: 10.6084/m9.figshare.25045562
title: Additional file 1 of Predicting lung cancer survival prognosis based on the conditional survival bayesian network

description: Additional file 1: Table 1. Baseline characteristics of the training cohort and validation cohort stratified by survival outcome.
DOI: 10.6084/m9.figshare.25045562.v1
title: Additional file 1 of Predicting lung cancer survival prognosis based on the conditional survival bayesian network

description: Additional file 1: Table 1. Baseline characteristics of the training cohort and validation cohort stratified by survival outcome.
DOI: 10.6084/m9.figshare.21129976
title: Additional file 5 of RETSAT associates with DDX39B to promote fork restarting and resistance to gemcitabine based chemotherapy in pancreatic ductal adenocarcinoma

description: Additional file 5.
DOI: 10.6084/m9.figshare.21129976.v1
title: Additional file 5 of RETSAT associates with DDX39B to promote fork restarting and resistance to gemcitabine based chemotherapy in pancreatic ductal adenocarcinoma

description: Additional file 5.
DOI: 10.34740/kaggle/dsv/7683954
title: LUFlow Network Intrusion Detection Data Set
DOI: 10.6084/m9.figshare.12986950
title: Additional file 9 of Exosomal miR-141 promotes tumor angiogenesis via KLF12 in small cell lung cancer

description: Additional file 9 Supplementary Table 2. Target genes of miR-141 predicted by PicTar, miRDB and TargetScan.
DOI: 10.6084/m9.figshare.12986950.v1
title: Additional file 9 of Exosomal miR-141 promotes tumor angiogenesis via KLF12 in small cell lung cancer

description: Additional file 9 Supplementary Table 2. Target genes of miR-141 predicted by PicTar, miRDB and TargetScan.
DOI: 10.25387/g3.21375603
title: Supplemental Material for Bruna et al., 2022

description: Supplemental Material
DOI: 10.25387/g3.21375603.v1
title: Supplemental Material for Bruna et al., 2022

description: Supplemental Material
DOI: 10.6084/m9.figshare.16657034
title: Hugan tablets for the treatment of RUCAM based drug-induced liver injury: a propensity score matching analysis using a nationwide database

description: Drug-induced liver injury (DILI) is a major clinical challenge with no specific therapeutic drugs available. It is crucial to develop new agents to improve the clinical outcome of patients with DILI. This study evaluated the efficacy and safety of Hugan tablets in DILI patients using a nationwide database. We analyzed the clinical data of DILI patients from a nationwide DILI database (www.hepatox.org). Patients who received oral Hugan tablets for DILI were defined as the Hugan group, and those who received no treatment for DILI were defined as the control group. There were 111 cases in the Hugan group and 512 cases in the control group. One-to-one propensity score matching created 111 matched pairs. The normalization rates of alanine aminotransferase and aspartate aminotransferase in the Hugan group were significantly higher than those in the control group (50.45% vs. 26.13%, p ≤ .0002 and 67.57% vs. 41.75%, p ≤ .0001). There were no differences in the incidence of renal function impairment or blood abnormality between the two groups. Hugan tablets are safe and effective in DILI treatment. Large-scale randomized controlled studies are needed to explore the effects of Hugan tablets on DILI induced by different offending drugs. The study protocol was posted on ClinicalTrials.gov with NCT number: NCT02407964.
DOI: 10.6084/m9.figshare.16657034.v2
title: Hugan tablets for the treatment of RUCAM based drug-induced liver injury: a propensity score matching analysis using a nationwide database

description: Drug-induced liver injury (DILI) is a major clinical challenge with no specific therapeutic drugs available. It is crucial to develop new agents to improve the clinical outcome of patients with DILI. This study evaluated the efficacy and safety of Hugan tablets in DILI patients using a nationwide database. We analyzed the clinical data of DILI patients from a nationwide DILI database (www.hepatox.org). Patients who received oral Hugan tablets for DILI were defined as the Hugan group, and those who received no treatment for DILI were defined as the control group. There were 111 cases in the Hugan group and 512 cases in the control group. One-to-one propensity score matching created 111 matched pairs. The normalization rates of alanine aminotransferase and aspartate aminotransferase in the Hugan group were significantly higher than those in the control group (50.45% vs. 26.13%, p ≤ .0002 and 67.57% vs. 41.75%, p ≤ .0001). There were no differences in the incidence of renal function impairment or blood abnormality between the two groups. Hugan tablets are safe and effective in DILI treatment. Large-scale randomized controlled studies are needed to explore the effects of Hugan tablets on DILI induced by different offending drugs. The study protocol was posted on ClinicalTrials.gov with NCT number: NCT02407964.
DOI: 10.6084/m9.figshare.16657034.v1
title: Hugan tablets for the treatment of RUCAM based drug-induced liver injury: a propensity score matching analysis using a nationwide database

description: Drug-induced liver injury (DILI) is a major clinical challenge with no specific therapeutic drugs available. It is crucial to develop new agents to improve the clinical outcome of patients with DILI. This study evaluated the efficacy and safety of Hugan tablets in DILI patients using a nationwide database. We analyzed the clinical data of DILI patients from a nationwide DILI database (www.hepatox.org). Patients who received oral Hugan tablets for DILI were defined as the Hugan group, and those who received no treatment for DILI were defined as the control group. There were 111 cases in the Hugan group and 512 cases in the control group. One-to-one propensity score matching created 111 matched pairs. The normalization rates of alanine aminotransferase and aspartate aminotransferase in the Hugan group were significantly higher than those in the control group (50.45% vs. 26.13%, p ≤ .0002 and 67.57% vs. 41.75%, p ≤ .0001). There were no differences in the incidence of renal function impairment or blood abnormality between the two groups. Hugan tablets are safe and effective in DILI treatment. Large-scale randomized controlled studies are needed to explore the effects of Hugan tablets on DILI induced by different offending drugs. The study protocol was posted on ClinicalTrials.gov with NCT number: NCT02407964.
DOI: 10.6084/m9.figshare.25263514
title: Supplementary Table S1-S2. v.01

description: These datasets conclude geochemical and He-C isotopic data of hydrothermal volatiles in Tibetan Plateau, and also sampling locations, temperatures. Some of them are reported firstly in northern Tibet. All of them are involved in a paper submitted in the JGR: Solid Earth by W. Zhao, Z. Guo* and other co-authors.
DOI: 10.6084/m9.figshare.25263514.v1
title: Supplementary Table S1-S2. v.01

description: These datasets conclude geochemical and He-C isotopic data of hydrothermal volatiles in Tibetan Plateau, and also sampling locations, temperatures. Some of them are reported firstly in northern Tibet. All of them are involved in a paper submitted in the JGR: Solid Earth by W. Zhao, Z. Guo* and other co-authors.
DOI: 10.34808/qagj-kn94
title: Radiation pattern measurements of geometrically small antennas performed in non-anechoic environments

description: The dataset contains unprocessed measurements of radiation pattern characteristics performed in non-anechoic regime for three geometrically small antenna structures: a spline-parameterized Vivaldi structure, a compact spline-based monopole, and a quasi-Yagi geometry with enhanced bandwidth. The responses have been obtained over broad frequency ranges (several GHz) as a function of mentioned structures rotation angle. The latter is understood as angular position of the antenna under test (i.e., one of the mentioned structures) w.r.t. the reference antenna (here, for all experiments, a Vivaldi structure has been used) in a selected plane of rotation. The dataset is supplemented with the models of the antennas used for measurements as well as a schematic diagram of the non-anechoic test site. The measurements represent a part of the data used for post-processing in the paper published in Measurement Journal (https://doi.org/10.1016/j.measurement.2023.113705).
DOI: 10.6084/m9.figshare.12462752
title: Additional file 1 of PhyteByte: identification of foods containing compounds with specific pharmacological properties

description: Additional file 1.
DOI: 10.6084/m9.figshare.12462752.v1
title: Additional file 1 of PhyteByte: identification of foods containing compounds with specific pharmacological properties

description: Additional file 1.
DOI: 10.6084/m9.figshare.25272562
title: First report on pesticide sub-chronic and chronic toxicities against dogs using QSAR and chemical read-across

description: Excessive use of chemicals is the outcome of the industrialization of agricultural sectors which leads to disturbance of ecological balance. Various agrochemicals are widely used in agricultural fields, urban green areas, and to protect from various pest-associated diseases. Due to their long-term health and environmental hazards, chronic toxicity assessment is crucial. Since in vivo and in vitro toxicity assessments are costly, lengthy, and require a large number of animal experiments, in silico toxicity approaches are better alternatives to save time, cost, and animal experimentation. We have developed the first regression-based 2D-QSAR models using different sub-chronic and chronic toxicity data of pesticides against dogs employing 2D descriptors. From the statistical results (ntrain=53−62, r2 = 0.614 to 0.754, QLOO2 = 0.501 to 0.703 and  QF12 = 0.531 to 0.718, QF22=0.523−0.713), it was concluded that the models are robust, reliable, interpretable, and predictive. Similarity-based read-across algorithm was also used to improve the predictivity (QF12=0.595−0.813,QF22=0.573−0.809) of the models. 5132 chemicals obtained from the CPDat and 1694 pesticides obtained from the PPDB database were also screened using the developed models, and their predictivity and reliability were checked. Thus, these models will be helpful for eco-toxicological data-gap filling, toxicity prediction of untested pesticides, and development of novel, safer & eco-friendly pesticides.
DOI: 10.6084/m9.figshare.25243305
title: Quantitative structure-property relationship modelling on autoignition temperature: evaluation and comparative analysis

description: The autoignition temperature (AIT) serves as a crucial indicator for assessing the potential hazards associated with a chemical substance. In order to gain deeper insights into model performance and facilitate the establishment of effective methodological practices for AIT predictions, this study conducts a benchmark investigation on Quantitative Structure-Property Relationship (QSPR) modelling for AIT. As novelties of this work, three significant advancements are implemented in the AIT modelling process, including explicit consideration of data quality, utilization of state-of-the-art feature engineering workflows, and the innovative application of graph-based deep learning techniques, which are employed for the first time in AIT prediction. Specifically, three traditional QSPR models (multi-linear regression, support vector regression, and artificial neural networks) are evaluated, alongside the assessment of a deep-learning model employing message passing neural network architecture supplemented by graph-data augmentation techniques.
DOI: 10.6084/m9.figshare.25272562.v1
title: First report on pesticide sub-chronic and chronic toxicities against dogs using QSAR and chemical read-across

description: Excessive use of chemicals is the outcome of the industrialization of agricultural sectors which leads to disturbance of ecological balance. Various agrochemicals are widely used in agricultural fields, urban green areas, and to protect from various pest-associated diseases. Due to their long-term health and environmental hazards, chronic toxicity assessment is crucial. Since in vivo and in vitro toxicity assessments are costly, lengthy, and require a large number of animal experiments, in silico toxicity approaches are better alternatives to save time, cost, and animal experimentation. We have developed the first regression-based 2D-QSAR models using different sub-chronic and chronic toxicity data of pesticides against dogs employing 2D descriptors. From the statistical results (ntrain=53−62, r2 = 0.614 to 0.754, QLOO2 = 0.501 to 0.703 and  QF12 = 0.531 to 0.718, QF22=0.523−0.713), it was concluded that the models are robust, reliable, interpretable, and predictive. Similarity-based read-across algorithm was also used to improve the predictivity (QF12=0.595−0.813,QF22=0.573−0.809) of the models. 5132 chemicals obtained from the CPDat and 1694 pesticides obtained from the PPDB database were also screened using the developed models, and their predictivity and reliability were checked. Thus, these models will be helpful for eco-toxicological data-gap filling, toxicity prediction of untested pesticides, and development of novel, safer & eco-friendly pesticides.
DOI: 10.15151/esrf-es-1409737032
title: Cryo-electron microscopy EPN BAG

description: At the EPN campus level structural biology work is carried out in all the 4 institutes (IBS, ESRF, ILL and EMBL). Today all structural biology groups are turning
to cryo-EM. The EM demand is therefore extremely high and present in the 4 Institutes.
In a nutshell, there are more than 45 PIs that could benefit from Krios time on the EPN campus (more than 90 different samples). Around 20 % of the sample are ready for high resolution data collection with already prepared grids that have been pre-screened on Glacios microscopes. Whereas some work could be carried out on Glacios microscopes, for difficult samples the use of a krios is indispensable (heterogeneous sample or limited concentration requiring a large number of images; small protein etc). Only these samples will be selected for Krios time at the BAG level
DOI: 10.6084/m9.figshare.25243305.v1
title: Quantitative structure-property relationship modelling on autoignition temperature: evaluation and comparative analysis

description: The autoignition temperature (AIT) serves as a crucial indicator for assessing the potential hazards associated with a chemical substance. In order to gain deeper insights into model performance and facilitate the establishment of effective methodological practices for AIT predictions, this study conducts a benchmark investigation on Quantitative Structure-Property Relationship (QSPR) modelling for AIT. As novelties of this work, three significant advancements are implemented in the AIT modelling process, including explicit consideration of data quality, utilization of state-of-the-art feature engineering workflows, and the innovative application of graph-based deep learning techniques, which are employed for the first time in AIT prediction. Specifically, three traditional QSPR models (multi-linear regression, support vector regression, and artificial neural networks) are evaluated, alongside the assessment of a deep-learning model employing message passing neural network architecture supplemented by graph-data augmentation techniques.
DOI: 10.6084/m9.figshare.7744190
title: Additional file 2: of Staphylococcus aureus with an erm-mediated constitutive macrolide-lincosamide-streptogramin B resistance phenotype has reduced susceptibility to the new ketolide, solithromycin

description: Table S3. 23S rRNA II/V domains, ribosomal proteins, ermB gene mutations of the selected isolates. (XLS 89 kb)
DOI: 10.6084/m9.figshare.7744190.v1
title: Additional file 2: of Staphylococcus aureus with an erm-mediated constitutive macrolide-lincosamide-streptogramin B resistance phenotype has reduced susceptibility to the new ketolide, solithromycin

description: Table S3. 23S rRNA II/V domains, ribosomal proteins, ermB gene mutations of the selected isolates. (XLS 89 kb)
DOI: 10.6084/m9.figshare.8268479
title: Interactive effect between temperature and fine particulate matter on chronic disease hospital admissions in the urban area of Tianjin, China

description: This study focuses on effects of fine particulate matter (PM<sub>2.5</sub>) on chronic disease under different levels of temperature. We obtained type 2 diabetes, cerebral stroke and coronary heart disease hospital admissions (HAs) from five hospitals in urban Tianjin as well as the concentrations of PM<sub>2.5</sub>, nitrogen dioxide (NO<sub>2</sub>) and sulphur dioxide (SO<sub>2</sub>). We used distributed lag nonlinear models to explore nonlinear and lag effects of PM<sub>2.5</sub>. In single-pollutant models, PM<sub>2.5</sub> was positively associated with type 2 diabetes, cerebral stroke and coronary heart disease HAs, with strongest effects at lag1, lag0 and lag06, respectively. The corresponding relative risk rates (<i>RR</i>%) were 1.836%, 2.083% and 6.428%. In co-pollutant models, the correlation between PM<sub>2.5</sub> and HAs on high-temperature days was generally stronger than that on low-temperature days. This study indicated that PM<sub>2.5</sub> can increase HA rates for these chronic diseases, and effects of PM<sub>2.5</sub> on high-temperature days were stronger than that on low-temperature days.
DOI: 10.6084/m9.figshare.8268479.v1
title: Interactive effect between temperature and fine particulate matter on chronic disease hospital admissions in the urban area of Tianjin, China

description: This study focuses on effects of fine particulate matter (PM<sub>2.5</sub>) on chronic disease under different levels of temperature. We obtained type 2 diabetes, cerebral stroke and coronary heart disease hospital admissions (HAs) from five hospitals in urban Tianjin as well as the concentrations of PM<sub>2.5</sub>, nitrogen dioxide (NO<sub>2</sub>) and sulphur dioxide (SO<sub>2</sub>). We used distributed lag nonlinear models to explore nonlinear and lag effects of PM<sub>2.5</sub>. In single-pollutant models, PM<sub>2.5</sub> was positively associated with type 2 diabetes, cerebral stroke and coronary heart disease HAs, with strongest effects at lag1, lag0 and lag06, respectively. The corresponding relative risk rates (<i>RR</i>%) were 1.836%, 2.083% and 6.428%. In co-pollutant models, the correlation between PM<sub>2.5</sub> and HAs on high-temperature days was generally stronger than that on low-temperature days. This study indicated that PM<sub>2.5</sub> can increase HA rates for these chronic diseases, and effects of PM<sub>2.5</sub> on high-temperature days were stronger than that on low-temperature days.