cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24241429.v1
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.5519/qd.rwevcowa
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (157 records)
DOI: 10.6084/m9.figshare.24241438
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.6084/m9.figshare.24241438.v1
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.6084/m9.figshare.24241450
title: Supplementary Material for: Genotypic and phenotypic characteristics of co-trimoxazole-induced cutaneous adverse reactions

description: Background. Co-trimoxazole has been reported as a common culprit drug for various cutaneous adverse drug reactions (CADRs). However, information on genotypic and phenotypic characteristics is still limited. We aimed to study clinical characteristics, genetic suitability, laboratory findings, and treatment outcome in patients with co-trimoxazole-induced CADR and determine variables associated with severe cutaneous adverse reactions (SCARs). Methods. The medical records of all patients diagnosed with co-trimoxazole-induced CADR during October 2015 and October 2021 were reviewed. Clinical characteristics and laboratory investigation with an emphasis on HLA class I and HLA-DRB1 results linked to subtypes of cutaneous adverse reactions were evaluated. Results. Seventy-two patients diagnosed with co-trimoxazole-induced CADR were included in the study. Mean age at diagnosis was 38.0±14.6 years old, and 72% were female. Subtypes of reactions included maculopapular eruption (MPE; 56.9%), drug reaction with eosinophilia and systemic symptoms (DRESS; 23.6%), Stevens-Johnson syndrome (SJS; 12.5%), fixed drug eruption (4.2%), and urticaria (2.8%). Characteristics that were significantly associated with SCARs included male gender (OR=3.01, 95%CI 1.04-8.75), HIV infection (OR=3.48, 95%CI 1.13-10.75), prophylactic use of co-trimoxazole (OR=4.89, 95%CI 1.54-15.57), and co-trimoxazole administration longer than 10 days (OR=7.65, 95%CI 2.57-22.78). HLA-B*38:02 was associated with co-trimoxazole-induced SJS, while HLA-A*11:01, HLA-B*13:01, and HLA-DRB1*12:01 were associated with co-trimoxazole-induced DRESS. HLA-B*52:01 was associated with co-trimoxazole-induced MPE. Conclusions. Co-trimoxazole could induce various phenotypes of CADRs. Genotypic and phenotypic factors that may potentially predict co-trimoxazole-induced SCARs include male gender, HIV infection, prophylactic and prolonged drug use, as well as the presence of HLA-A*11:01, HLA-B*13:01, HLA-B*38:02, or HLA-DRB1*12:01 alleles.
DOI: 10.6084/m9.figshare.24241450.v1
title: Supplementary Material for: Genotypic and phenotypic characteristics of co-trimoxazole-induced cutaneous adverse reactions

description: Background. Co-trimoxazole has been reported as a common culprit drug for various cutaneous adverse drug reactions (CADRs). However, information on genotypic and phenotypic characteristics is still limited. We aimed to study clinical characteristics, genetic suitability, laboratory findings, and treatment outcome in patients with co-trimoxazole-induced CADR and determine variables associated with severe cutaneous adverse reactions (SCARs). Methods. The medical records of all patients diagnosed with co-trimoxazole-induced CADR during October 2015 and October 2021 were reviewed. Clinical characteristics and laboratory investigation with an emphasis on HLA class I and HLA-DRB1 results linked to subtypes of cutaneous adverse reactions were evaluated. Results. Seventy-two patients diagnosed with co-trimoxazole-induced CADR were included in the study. Mean age at diagnosis was 38.0±14.6 years old, and 72% were female. Subtypes of reactions included maculopapular eruption (MPE; 56.9%), drug reaction with eosinophilia and systemic symptoms (DRESS; 23.6%), Stevens-Johnson syndrome (SJS; 12.5%), fixed drug eruption (4.2%), and urticaria (2.8%). Characteristics that were significantly associated with SCARs included male gender (OR=3.01, 95%CI 1.04-8.75), HIV infection (OR=3.48, 95%CI 1.13-10.75), prophylactic use of co-trimoxazole (OR=4.89, 95%CI 1.54-15.57), and co-trimoxazole administration longer than 10 days (OR=7.65, 95%CI 2.57-22.78). HLA-B*38:02 was associated with co-trimoxazole-induced SJS, while HLA-A*11:01, HLA-B*13:01, and HLA-DRB1*12:01 were associated with co-trimoxazole-induced DRESS. HLA-B*52:01 was associated with co-trimoxazole-induced MPE. Conclusions. Co-trimoxazole could induce various phenotypes of CADRs. Genotypic and phenotypic factors that may potentially predict co-trimoxazole-induced SCARs include male gender, HIV infection, prophylactic and prolonged drug use, as well as the presence of HLA-A*11:01, HLA-B*13:01, HLA-B*38:02, or HLA-DRB1*12:01 alleles.
DOI: 10.15151/esrf-es-972238181
title: Crystallization of low-solid oleogels: characterization of lamellar thickness

description: Oleogelation is a promising technique in which liquid oil and a low concentration of high-melting crystalline oleogelators are used to replace saturated fats. The rheological properties and oil binding capacity of the resulting oleogels are largely influenced by the fat crystal network. Therefore, it is important to investigate the melting and crystallization behavior of the crystalline oleogelators. In this project, different oleogelator types (waxes, monoglycerides (MAG) and diglycerides (DAG)) will be used. During the production, the gelator concentration and type as well as the shear rate and cooling rate will be adapted to investigate the effect of processing on the formation of the fat crystal network. Simultaneous and time-resolved SAXS/WAXS analysis will help to gain more insight in nucleation and crystal growth. Hereby, special attention will be given to the lamellar thickness of crystal nanoplatelets.
DOI: 10.6084/m9.figshare.24241453
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.6084/m9.figshare.24241453.v1
title: Supplementary Material for: Proteomics to metabolomics: A new insight into the pathogenesis of hypertensive nephropathy

description: Abstract Background: Hypertensive nephropathy (HN) is a high burden disorder and a leading cause of end-stage renal disorder. In spite of huge investigations, the underlying mechanisms are yet largely unknown. Systems biology is a promising approach to provide a comprehensive insight towards this complex disorder. Methods: Protein expression profiles of kidney tubule and cortex sub-compartments were retrieved from the PRIDE database and the quality of the datasets were assessed using principal component analysis (PCA) and hierarchical clustering. Differentially expressed proteins (DEPs) were detected and their attributed metabolites were enriched and their interactions were assessed in multi-layer networks. Moreover, considering the DEPs and the predicted metabolites, key biomedical phenomena with a leading role in HN pathogenesis were proposed. Results: Amino acid and purine metabolisms are the most prominent alteration in kidney cortex whereas dysregulation of energy hemostasis is a key pathogenic mechanism in tubule. Besides, actin cytoskeleton disorganization is an enriched pathway in both anatomical areas. Conclusion: The proteomics profiles of kidney sub-compartments were analyzed using a top-down approach to infer the main pathogenic processes. The constructed holistic map of HN can be exploited to propose novel therapeutic strategies. Keywords: Hypertensive nephropathy, Proteomics, Metabolomics, Systems biology
DOI: 10.5281/zenodo.8221362
title: AESOPUS 2.0: Low-Temperature Opacities with Solid Grains

description: In this repository we include the optical constants of all dust species listed in Table 1, as well as Rosseland mean opacity tables for widely used scaled-solar chemical compositions (GS98, C11, AAG21, MBS22) with metallicities encompassing the range 0 &lt;= Z &lt;= 0.3, and several hydrogen abundance values. Additional opacity tables with different grain sizes, porosities, and shapes can be computed and uploaded in the same repository upon user request. All of the details can be found in a companion paper published in The Astrophysical Journal.
DOI: 10.5281/zenodo.8221361
title: AESOPUS 2.0: Low-Temperature Opacities with Solid Grains

description: In this repository we include the optical constants of all dust species listed in Table 1, as well as Rosseland mean opacity tables for widely used scaled-solar chemical compositions (GS98, C11, AAG21, MBS22) with metallicities encompassing the range 0 &lt;= Z &lt;= 0.3, and several hydrogen abundance values. Additional opacity tables with different grain sizes, porosities, and shapes can be computed and uploaded in the same repository upon user request. All of the details can be found in a companion paper published in The Astrophysical Journal.
DOI: 10.5281/zenodo.8405441
title: 2011 LSOAs sqlite dump

description: 2011 LSOAs with their population weighted centroids
DOI: 10.5281/zenodo.8405440
title: 2011 LSOAs sqlite dump

description: 2011 LSOAs with their population weighted centroids
DOI: 10.5285/220b9b8ffbed43fcbbd323e739118f6c
title: MIDAS Open: UK daily temperature data, v202308

description: The UK daily temperature data contain maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM, DLY3208 or AWSDLY messages. The data span from 1853 to 2022. For details on measurement techniques, including calibration information and changes in measurements, see section 5.2 of the MIDAS User Guide linked to from this record. Soil temperature data may be found in the UK soil temperature datasets linked from this record. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2022. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record. Currently this represents approximately 95% of available daily temperature observations within the full MIDAS collection.
DOI: 10.5519/qd.xhx05wqo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.8405439
title: Results of the test for the sampling period described in D7.3: Madrid pilot report

description: This datasets provides further information about section 9.4 Monitorisation and results of D7.3. This public deliverable describes Madrid pilot project report. CARTIF share this dataset with the results of the test carried out during the sampling period regarding particulate matter and nitrogen oxides.
DOI: 10.5281/zenodo.8405438
title: Results of the test for the sampling period described in D7.3: Madrid pilot report

description: This datasets provides further information about section 9.4 Monitorisation and results of D7.3. This public deliverable describes Madrid pilot project report. CARTIF share this dataset with the results of the test carried out during the sampling period regarding particulate matter and nitrogen oxides.
DOI: 10.21335/nmdc-1530556275
title: Physical and biogeochemical data collected by CTD in Masfjorden and Lurefjorden, Vestland, Norway during cruise KB2023006004 in February 2023.

description: The files contain temperature, practical salinity, oxygen, and depth measurements binned into 1 db pressure bins, collected using a Seabird SBE 11plus V 5.2 CTD and post-processed with the Seasoft software package during cruise KB2023006004 in February 2023. Data were collected in Masfjorden, Lurefjorden, and nearby fjords in Vestland, Norway. Uncalibrated fluorescence, PAR, SPAR, and transmission data from the CTD are included, as are water sample data (Oxygen, Dissolved Inorganic Carbon, Alkalinity and nutrients) collected during the cruise. There were issues with the Winkler titration; the Winkler data were flagged as potentially bad, and no oxygen calibration was carried out. The cruise was organized as a part of the course GEOF337 and GEOF232 run by the Geophysical Institute, University of Bergen. Data can be downloaded as one .nc file or three .txt file, where data in the .txt-files are separated into downcast (KB2023006004_CTD.txt) and bottle (KB2023006004_btl.txt) data and where meta-data are provided in KB2023006004_meat-data.txt.
DOI: 10.5517/ccdc.csd.cc2ffh6l
title: CCDC 2247289: Experimental Crystal Structure Determination

description: Related Article: Andrea Rizzi, Gabriele Amari, Fausto Pivetti, Maurizio Delcanale, Francesco Amadei, Alice Pappani, Luca Fornasari, Gino Villetti, Gessica Marchini, Anna Rita Pisano, Vanessa Pitozzi, Maria Gloria Pittelli, Marcello Trevisani, Michela Salvadori, Valentina Cenacchi, Alessandro Fioni, Paola Puccini, Maurizio Civelli, Riccardo Patacchini, Charles Baker-Glenn, Hervé Van de Poël, Wesley Blackaby, Kevin Nash, Elisabetta Armani|2023|J.Med.Chem.|66|11476|doi:10.1021/acs.jmedchem.3c01012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ffh7m
title: CCDC 2247290: Experimental Crystal Structure Determination

description: Related Article: Andrea Rizzi, Gabriele Amari, Fausto Pivetti, Maurizio Delcanale, Francesco Amadei, Alice Pappani, Luca Fornasari, Gino Villetti, Gessica Marchini, Anna Rita Pisano, Vanessa Pitozzi, Maria Gloria Pittelli, Marcello Trevisani, Michela Salvadori, Valentina Cenacchi, Alessandro Fioni, Paola Puccini, Maurizio Civelli, Riccardo Patacchini, Charles Baker-Glenn, Hervé Van de Poël, Wesley Blackaby, Kevin Nash, Elisabetta Armani|2023|J.Med.Chem.|66|11476|doi:10.1021/acs.jmedchem.3c01012
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fg77d
title: CCDC 2248003: Experimental Crystal Structure Determination

description: Related Article: Liqiang Hao, Zhichao Wang, Yangyang Wang, Zhaoziyuan Yang, Xian Liu, Xiaobo Xu, Yafei Ji|2023|Org.Biomol.Chem.|21|7611|doi:10.1039/D3OB01172K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fvmvs
title: CCDC 2259926: Experimental Crystal Structure Determination

description: Related Article: Yang-Ting Hsia, Yu-Lin Lu, Rekha Bai, Satpal Singh Badsara, Chin-Fa Lee|2023|Org.Biomol.Chem.|21|7602|doi:10.1039/D3OB00961K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gwvks
title: CCDC 2290886: Experimental Crystal Structure Determination

description: Related Article: F. Ezenyilimba, R.L. LaDuca|2023|IUCrData|8|x230747|doi:10.1107/S2414314623007472
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gxwy7
title: CCDC 2291890: Experimental Crystal Structure Determination

description: Related Article: J.Z. Travis, R.L. LaDuca|2023|IUCrData|8|x230758|doi:10.1107/S2414314623007587
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.