cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10528693
title: Dataset related to article "Biomimetic superabsorbent hydrogel acts as a gut protective dynamic exoskeleton improving metabolic parameters and expanding A. muciniphila"

description: This record contains raw data related to article “Biomimetic superabsorbent hydrogel acts as a gut protective dynamic exoskeleton improving metabolic parameters and expanding A. muciniphila"

Abstract



The rising prevalence of obesity and metabolic disorders worldwide highlights the urgent need to find new long-term and clinically meaningful weight-loss therapies. Here, we evaluate the therapeutic potential and the mechanism of action of a biomimetic cellulose-based oral superabsorbent hydrogel (OSH). Treatment with OSH exerts effects on intestinal tissue and gut microbiota composition, functioning like a protective dynamic exoskeleton. It protects from gut barrier permeability disruption and induces rapid and consistent changes in the gut microbiota composition, specifically fostering Akkermansia muciniphila expansion. The mechanobiological, physical, and chemical structures of the gel are required for A. muciniphila growth. OSH treatment induces weight loss and reduces fat accumulation, in both preventative and therapeutic settings. OSH usage also prevents liver steatosis, immune infiltration, and fibrosis, limiting the progression of non-alcoholic fatty liver disease. Our work shows the potential of using OSH as a non-systemic mechanobiological approach to treat metabolic syndrome and its comorbidities.
DOI: 10.5281/zenodo.10528694
title: Dataset related to article "Biomimetic superabsorbent hydrogel acts as a gut protective dynamic exoskeleton improving metabolic parameters and expanding A. muciniphila"

description: This record contains raw data related to article “Biomimetic superabsorbent hydrogel acts as a gut protective dynamic exoskeleton improving metabolic parameters and expanding A. muciniphila"

Abstract



The rising prevalence of obesity and metabolic disorders worldwide highlights the urgent need to find new long-term and clinically meaningful weight-loss therapies. Here, we evaluate the therapeutic potential and the mechanism of action of a biomimetic cellulose-based oral superabsorbent hydrogel (OSH). Treatment with OSH exerts effects on intestinal tissue and gut microbiota composition, functioning like a protective dynamic exoskeleton. It protects from gut barrier permeability disruption and induces rapid and consistent changes in the gut microbiota composition, specifically fostering Akkermansia muciniphila expansion. The mechanobiological, physical, and chemical structures of the gel are required for A. muciniphila growth. OSH treatment induces weight loss and reduces fat accumulation, in both preventative and therapeutic settings. OSH usage also prevents liver steatosis, immune infiltration, and fibrosis, limiting the progression of non-alcoholic fatty liver disease. Our work shows the potential of using OSH as a non-systemic mechanobiological approach to treat metabolic syndrome and its comorbidities.
DOI: 10.5281/zenodo.10528907
title: RAVDESS-NR
DOI: 10.5281/zenodo.10528908
title: RAVDESS-NR
DOI: 10.6084/m9.figshare.25021028
title: High-quality MAGs assembled from raw milk metagenomes

description: High-quality MAGs assembled from raw milk metagenomes. Assembly of Metagenome Assembled Genomes (MAGs) was done using metaSPAdes (3.13), followed by binning with MetaBAT2 (2.12.1) and quality assessment with checkM (1.0.18). High-quality MAGs, of at least 90% completeness and less than 5% contamination were assigned taxonomy with GTDB-tk (2.1.1). Metadata is attached in the csv file. <br>
DOI: 10.6084/m9.figshare.24487282
title: test

description: Test; testaaa; tttt
DOI: 10.6084/m9.figshare.24487282.v2
title: test

description: Test; testaaa; tttt
DOI: 10.6084/m9.figshare.24487282.v1
title: genes_gwas.txt

description: Test; testaaa; tttt
DOI: 10.17630/bd1085ce-a462-4a8b-ae81-9ededb4aea21
title: Builtin Types viewed as Inductive Families (code)

description: Artefact attached to the ESOP'23 paper 'Builtin Types viewed as Inductive Families'. This contains: 0. A README describing the artefact 1. A VM with idris2 version 0.6.0 installed 2. The source code of the library the paper describes 3. Some scripts to automatically boot the VM & compile the code
DOI: 10.17630/83e3b83e-8927-4f60-8534-2c352bac88cc
title: Data underpinning Influence of Electrode Processing and Electrolyte Composition on Multiwall Carbon Nanotube Negative Electrodes for Sodium Ion Batteries
DOI: 10.17630/704a774d-293b-40e4-83c0-8d240187c54d
title: Morphology and polymorph control of NbSe2 monolayers grown via molecular beam epitaxy (thesis data)

description: Contains information obtained from AFM and ARPES. For ARPES IGOR PRO was used to analyse the scans, although the raw data is saved as txt files. The AFM was analysed using Gwyddion and have been saved as gwy files. Specific information on the growth parameters have also been included.
DOI: 10.17630/f73d9d36-de0d-4f86-bd36-1ab95d21f2db
title: "Antibiotics under our feet" Full Bioinformatics Output (Batch 1)

description: The attached data files are the full bioinformatics output for the first six soil samples collected during the University of St Andrews "Antibiotics under our feet" citizen science project funded by a ScotPEN Wellcome Engagement Award to Clarissa Melo Czekster, University of St Andrews. The logFile gives further details. Files names starting "Pin" correspond to map pins placed on the interactive map on the project website at each soil sample collection location. Each map pin generates a unique ID number. These numbers have been used across the project for identifying soil samples and their associated data. This full dataset consists of the logFile and 14 .zip files. This batch contains the first 7 .zip files.
DOI: 10.5281/zenodo.10528895
title: The distribution of online attention in publications in the field of Information Science & Library Science: an applied study in the Web of Science database (2012-2021)

description: The dataset used in the research 'The distribution of online attention in publications in the field of Information Science & Library Science: an applied study in the Web of Science database (2012-2021)' submitted to Revista Española de Documentacion Científica (REDC). The name 'Autores' is used to ensure the blind review process and will be changed upon manuscript acceptance.
DOI: 10.5281/zenodo.10528896
title: The distribution of online attention in publications in the field of Information Science & Library Science: an applied study in the Web of Science database (2012-2021)

description: The dataset used in the research 'The distribution of online attention in publications in the field of Information Science & Library Science: an applied study in the Web of Science database (2012-2021)' submitted to Revista Española de Documentacion Científica (REDC). The name 'Autores' is used to ensure the blind review process and will be changed upon manuscript acceptance.
DOI: 10.57992/nmrxiv.p56
title: Combinatorial biosynthesis in yeast leads to over 200 diterpenoids
DOI: 10.57992/nmrxiv.p56.s294
title: VS-20220601-Diterpen6
DOI: 10.57992/nmrxiv.p56.s294.d1704
title: VS-20220601-Diterpen6[10]
DOI: 10.57992/nmrxiv.p56.s294.d1706
title: VS-20220601-Diterpen6[12]
DOI: 10.57992/nmrxiv.p56.s294.d1708
title: VS-20220601-Diterpen6[14]
DOI: 10.57992/nmrxiv.p56.s295
title: 20221118-VS-Diterpen 14
DOI: 10.57992/nmrxiv.p56.s295.d1710
title: 20221118-VS-Diterpen 14[11]
DOI: 10.57992/nmrxiv.p56.s295.d1711
title: 20221118-VS-Diterpen 14[12]
DOI: 10.57992/nmrxiv.p56.s295.d1712
title: 20221118-VS-Diterpen 14[13]
DOI: 10.57992/nmrxiv.p56.s295.d1714
title: 20221118-VS-Diterpen 14[15]
DOI: 10.57992/nmrxiv.p56.s296.d1716
title: VS-20220614-Diterpen6[12]
DOI: 10.5519/qd.o10m4dyf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.57992/nmrxiv.p56.s297
title: 20221019-VS-CrudeYeastExtract-Peak1
DOI: 10.57992/nmrxiv.p56.s296.d1718
title: VS-20220614-Diterpen6[14]
DOI: 10.57992/nmrxiv.p56.s297.d1719
title: 20221019-VS-CrudeYeastExtract-Peak1[10]
DOI: 10.57992/nmrxiv.p56.s297.d1720
title: 20221019-VS-CrudeYeastExtract-Peak1[11]
DOI: 10.57992/nmrxiv.p56.s297.d1721
title: 20221019-VS-CrudeYeastExtract-Peak1[12]
DOI: 10.57992/nmrxiv.p56.s297.d1722
title: 20221019-VS-CrudeYeastExtract-Peak1[13]
DOI: 10.57992/nmrxiv.p56.s297.d1723
title: 20221019-VS-CrudeYeastExtract-Peak1[14]
DOI: 10.57992/nmrxiv.p56.s297.d1724
title: 20221019-VS-CrudeYeastExtract-Peak1[15]
DOI: 10.57992/nmrxiv.p56.s297.d1727
title: 20221019-VS-CrudeYeastExtract-Peak1[22]
DOI: 10.57992/nmrxiv.p56.s297.d1728
title: 20221019-VS-CrudeYeastExtract-Peak1[23]
DOI: 10.57992/nmrxiv.p56.s297.d1729
title: 20221019-VS-CrudeYeastExtract-Peak1[24]
DOI: 10.57992/nmrxiv.p56.s297.d1730
title: 20221019-VS-CrudeYeastExtract-Peak1[25]
DOI: 10.57992/nmrxiv.p56.s298
title: 20221118-VS-Diterpen 15
DOI: 10.57992/nmrxiv.p56.s298.d1731
title: 20221118-VS-Diterpen 15[10]
DOI: 10.57992/nmrxiv.p56.s298.d1732
title: 20221118-VS-Diterpen 15[11]
DOI: 10.57992/nmrxiv.p56.s298.d1733
title: 20221118-VS-Diterpen 15[12]
DOI: 10.57992/nmrxiv.p56.s298.d1734
title: 20221118-VS-Diterpen 15[13]
DOI: 10.57992/nmrxiv.p56.s298.d1736
title: 20221118-VS-Diterpen 15[15]
DOI: 10.57992/nmrxiv.p56.s299.d1737
title: VS-20220520-Diterpen 3[10]
DOI: 10.57992/nmrxiv.p56.s299.d1738
title: VS-20220520-Diterpen 3[11]
DOI: 10.57992/nmrxiv.p56.s299.d1739
title: VS-20220520-Diterpen 3[12]
DOI: 10.57992/nmrxiv.p56.s299.d1740
title: VS-20220520-Diterpen 3[13]
DOI: 10.57992/nmrxiv.p56.s299.d1741
title: VS-20220520-Diterpen 3[14]
DOI: 10.57992/nmrxiv.p56.s299.d1742
title: VS-20220520-Diterpen 3[15]
DOI: 10.57992/nmrxiv.p56.s300
title: VS-20220531-Diterpen3
DOI: 10.57992/nmrxiv.p56.s300.d1743
title: VS-20220531-Diterpen3[10]
DOI: 10.57992/nmrxiv.p56.s300.d1744
title: VS-20220531-Diterpen3[11]
DOI: 10.57992/nmrxiv.p56.s294.d1705
title: VS-20220601-Diterpen6[11]
DOI: 10.57992/nmrxiv.p56.s300.d1747
title: VS-20220531-Diterpen3[14]
DOI: 10.57992/nmrxiv.p56.s301
title: VS-20221020-Diterpen10
DOI: 10.57992/nmrxiv.p56.s301.d1748
title: VS-20221020-Diterpen10[10]
DOI: 10.57992/nmrxiv.p56.s301.d1749
title: VS-20221020-Diterpen10[11]
DOI: 10.57992/nmrxiv.p56.s295.d1709
title: 20221118-VS-Diterpen 14[10]
DOI: 10.57992/nmrxiv.p56.s301.d1750
title: VS-20221020-Diterpen10[12]
DOI: 10.57992/nmrxiv.p56.s301.d1751
title: VS-20221020-Diterpen10[13]
DOI: 10.57992/nmrxiv.p56.s301.d1752
title: VS-20221020-Diterpen10[14]
DOI: 10.57992/nmrxiv.p56.s295.d1713
title: 20221118-VS-Diterpen 14[14]
DOI: 10.57992/nmrxiv.p56.s301.d1754
title: VS-20221020-Diterpen10[20]
DOI: 10.57992/nmrxiv.p56.s301.d1755
title: VS-20221020-Diterpen10[30]
DOI: 10.57992/nmrxiv.p56.s302
title: VS-20220502-Diterpen 7
DOI: 10.57992/nmrxiv.p56.s302.d1756
title: VS-20220502-Diterpen 7[10]
DOI: 10.57992/nmrxiv.p56.s296.d1715
title: VS-20220614-Diterpen6[10]
DOI: 10.57992/nmrxiv.p56.s296.d1717
title: VS-20220614-Diterpen6[13]
DOI: 10.57992/nmrxiv.p56.s302.d1759
title: VS-20220502-Diterpen 7[13]
DOI: 10.57992/nmrxiv.p56.s303
title: VS-20220502-Diterpen 1
DOI: 10.57992/nmrxiv.p56.s303.d1761
title: VS-20220502-Diterpen 1[10]
DOI: 10.57992/nmrxiv.p56.s303.d1762
title: VS-20220502-Diterpen 1[11]
DOI: 10.57992/nmrxiv.p56.s303.d1763
title: VS-20220502-Diterpen 1[12]
DOI: 10.57992/nmrxiv.p56.s303.d1765
title: VS-20220502-Diterpen 1[14]
DOI: 10.17630/0763a84a-565f-439d-a018-07d063032afa
title: dns-2009-q4-count : data files for paper, "Reducing DNS Caching", from GI2011

description: This set of **data files** (constituting the **Database**) are for the GI2011 paper: "Reducing DNS caching", by S. N. Bhatti and R. Atkinson GI2011 - IEEE Global Internet Symposium 2011. IEEE Conference on Computer Communications Workshops (INFOCOM WORKSHOPS), 2011, pp. 792-797. DOI: 10.1109/INFCOMW.2011.5928919. Each file is a human-readable text file. Each file is, effectively, a time series : DNS request numbers sampled at 1-second intervals. A full description is available in a README file in the tar ball.
DOI: 10.57992/nmrxiv.p56.s303.d1767
title: VS-20220502-Diterpen 1[202]
DOI: 10.57992/nmrxiv.p56.s303.d1768
title: VS-20220502-Diterpen 1[22]
DOI: 10.57992/nmrxiv.p56.s304
title: VS-20220502-Diterpen 5
DOI: 10.57992/nmrxiv.p56.s304.d1769
title: VS-20220502-Diterpen 5[10]
DOI: 10.57992/nmrxiv.p56.s304.d1770
title: VS-20220502-Diterpen 5[11]
DOI: 10.57992/nmrxiv.p56.s304.d1771
title: VS-20220502-Diterpen 5[12]
DOI: 10.57992/nmrxiv.p56.s304.d1773
title: VS-20220502-Diterpen 5[14]
DOI: 10.57992/nmrxiv.p56.s305
title: 20220520-VS-Diterpen 3
DOI: 10.57992/nmrxiv.p56.s298.d1735
title: 20221118-VS-Diterpen 15[14]
DOI: 10.57992/nmrxiv.p56.s305.d1774
title: 20220520-VS-Diterpen 3[10]
DOI: 10.57992/nmrxiv.p56.s305.d1775
title: 20220520-VS-Diterpen 3[11]
DOI: 10.57992/nmrxiv.p56.s305.d1776
title: 20220520-VS-Diterpen 3[12]
DOI: 10.57992/nmrxiv.p56.s299
title: VS-20220520-Diterpen 3
DOI: 10.57992/nmrxiv.p56.s305.d1777
title: 20220520-VS-Diterpen 3[13]
DOI: 10.57992/nmrxiv.p56.s305.d1778
title: 20220520-VS-Diterpen 3[14]
DOI: 10.57992/nmrxiv.p56.s305.d1779
title: 20220520-VS-Diterpen 3[15]
DOI: 10.57992/nmrxiv.p56.s306
title: 20220808-VS-Diterpen 10
DOI: 10.57992/nmrxiv.p56.s306.d1780
title: 20220808-VS-Diterpen 10[10]
DOI: 10.57992/nmrxiv.p56.s306.d1781
title: 20220808-VS-Diterpen 10[11]
DOI: 10.57992/nmrxiv.p56.s306.d1782
title: 20220808-VS-Diterpen 10[12]
DOI: 10.57992/nmrxiv.p56.s306.d1783
title: 20220808-VS-Diterpen 10[13]
DOI: 10.57992/nmrxiv.p56.s306.d1786
title: 20220808-VS-Diterpen 10[16]
DOI: 10.57992/nmrxiv.p56.s300.d1746
title: VS-20220531-Diterpen3[13]
DOI: 10.57992/nmrxiv.p56.s306.d1787
title: 20220808-VS-Diterpen 10[30]
DOI: 10.57992/nmrxiv.p56.s294.d1707
title: VS-20220601-Diterpen6[13]
DOI: 10.57992/nmrxiv.p56.s307.d1788
title: VS-20220603-Diterpen4[10]
DOI: 10.57992/nmrxiv.p56.s307.d1789
title: VS-20220603-Diterpen4[11]
DOI: 10.57992/nmrxiv.p56.s307.d1790
title: VS-20220603-Diterpen4[12]
DOI: 10.57992/nmrxiv.p56.s307.d1791
title: VS-20220603-Diterpen4[13]
DOI: 10.57992/nmrxiv.p56.s307.d1792
title: VS-20220603-Diterpen4[14]
DOI: 10.57992/nmrxiv.p56.s308
title: VS-20220930_Diterpen13
DOI: 10.57992/nmrxiv.p56.s308.d1793
title: VS-20220930_Diterpen13[10]
DOI: 10.57992/nmrxiv.p56.s308.d1794
title: VS-20220930_Diterpen13[11]
DOI: 10.57992/nmrxiv.p56.s308.d1795
title: VS-20220930_Diterpen13[12]
DOI: 10.57992/nmrxiv.p56.s308.d1796
title: VS-20220930_Diterpen13[13]
DOI: 10.57992/nmrxiv.p56.s308.d1798
title: VS-20220930_Diterpen13[15]
DOI: 10.57992/nmrxiv.p56.s302.d1758
title: VS-20220502-Diterpen 7[12]
DOI: 10.57992/nmrxiv.p56.s302.d1760
title: VS-20220502-Diterpen 7[14]
DOI: 10.57992/nmrxiv.p56.s309
title: 20220808-VS-Diterpen 12
DOI: 10.57992/nmrxiv.p56.s309.d1799
title: 20220808-VS-Diterpen 12[10]
DOI: 10.57992/nmrxiv.p56.s309.d1802
title: 20220808-VS-Diterpen 12[13]
DOI: 10.57992/nmrxiv.p56.s309.d1804
title: 20220808-VS-Diterpen 12[15]
DOI: 10.57992/nmrxiv.p56.s303.d1764
title: VS-20220502-Diterpen 1[13]
DOI: 10.57992/nmrxiv.p56.s309.d1805
title: 20220808-VS-Diterpen 12[16]
DOI: 10.57992/nmrxiv.p56.s310
title: of_20220728_DT4
DOI: 10.57992/nmrxiv.p56.s310.d1806
title: of_20220728_DT4[20]
DOI: 10.57992/nmrxiv.p56.s297.d1725
title: 20221019-VS-CrudeYeastExtract-Peak1[20]
DOI: 10.57992/nmrxiv.p56.s310.d1807
title: of_20220728_DT4[21]
DOI: 10.57992/nmrxiv.p56.s311.d1808
title: VS-20221016-Crude Yeast Extract-Peak 2[10]
DOI: 10.57992/nmrxiv.p56.s312.d1810
title: VS-20220603-Diterpen3[13]
DOI: 10.57992/nmrxiv.p56.s313
title: of_20220728_DT5
DOI: 10.57992/nmrxiv.p56.s313.d1811
title: of_20220728_DT5[10]
DOI: 10.57992/nmrxiv.p56.s313.d1812
title: of_20220728_DT5[20]
DOI: 10.57992/nmrxiv.p56.s314.d1814
title: of_20220725_DT1[20]
DOI: 10.57992/nmrxiv.p56.s315.d1818
title: of_20220706_MF_DT9[10]
DOI: 10.57992/nmrxiv.p56.s315.d1821
title: of_20220706_MF_DT9[13]
DOI: 10.57992/nmrxiv.p56.s306.d1784
title: 20220808-VS-Diterpen 10[14]
DOI: 10.57992/nmrxiv.p56.s315.d1823
title: of_20220706_MF_DT9[15]
DOI: 10.57992/nmrxiv.p56.s315.d1825
title: of_20220706_MF_DT9[21]
DOI: 10.57992/nmrxiv.p56.s316
title: 20220808-VS-Diterpen 11
DOI: 10.57992/nmrxiv.p56.s316.d1826
title: 20220808-VS-Diterpen 11[10]
DOI: 10.57992/nmrxiv.p56.s316.d1827
title: 20220808-VS-Diterpen 11[11]
DOI: 10.57992/nmrxiv.p56.s316.d1828
title: 20220808-VS-Diterpen 11[12]
DOI: 10.57992/nmrxiv.p56.s316.d1829
title: 20220808-VS-Diterpen 11[13]
DOI: 10.57992/nmrxiv.p56.s316.d1830
title: 20220808-VS-Diterpen 11[14]
DOI: 10.57992/nmrxiv.p56.s316.d1831
title: 20220808-VS-Diterpen 11[15]
DOI: 10.57992/nmrxiv.p56.s317
title: of_20220727_DT7
DOI: 10.57992/nmrxiv.p56.s317.d1832
title: of_20220727_DT7[10]
DOI: 10.57992/nmrxiv.p56.s308.d1797
title: VS-20220930_Diterpen13[14]
DOI: 10.57992/nmrxiv.p56.s309.d1800
title: 20220808-VS-Diterpen 12[11]
DOI: 10.57992/nmrxiv.p56.s306.d1785
title: 20220808-VS-Diterpen 10[15]
DOI: 10.57992/nmrxiv.p56.s315.d1822
title: of_20220706_MF_DT9[14]
DOI: 10.5281/zenodo.10528940
title: GRID-NR

description: The GRID-NR dataset represents an advanced version of the original GRID(Ryerson Audio-Visual Database of Emotional Speech and Song) dataset, specifically tailored to test the robustness of speaker identification systems under challenging audio conditions. Unlike the standard GRID, which contains clean audio recordings, the GRID-NR dataset introduces additional elements of Noise and Reverberation.
DOI: 10.5281/zenodo.10528941
title: GRID-NR

description: The GRID-NR dataset represents an advanced version of the original GRID(Ryerson Audio-Visual Database of Emotional Speech and Song) dataset, specifically tailored to test the robustness of speaker identification systems under challenging audio conditions. Unlike the standard GRID, which contains clean audio recordings, the GRID-NR dataset introduces additional elements of Noise and Reverberation.
DOI: 10.57992/nmrxiv.p56.s303.d1766
title: VS-20220502-Diterpen 1[20]
DOI: 10.57992/nmrxiv.p56.s314.d1813
title: of_20220725_DT1[10]
DOI: 10.57992/nmrxiv.p56.s296
title: VS-20220614-Diterpen6
DOI: 10.57992/nmrxiv.p56.s317.d1833
title: of_20220727_DT7[20]
DOI: 10.57992/nmrxiv.p56.s314
title: of_20220725_DT1
DOI: 10.5066/p9q1122i
title: Multiple-Well Aquifer-Test Data and Results, Umatilla Indian Reservation near Mission, Northeastern Oregon, 2016

description: This data release presents tabular data used and analytical water-level modeling files generated as part of a U.S. Geological Survey study, done in cooperation with the Confederated Tribes of the Umatilla Indian Reservation, to evaluate water-level change from a multiple-well aquifer test in well 422 on the Umatilla Indian Reservation near Mission, Oregon. Water-level, pumping, and barometric-pressure data collected during February 1, 2016–April 18, 2016 were used within the accompanying water-level modeling files to estimate drawdown in observation and background wells from the aquifer test. Water-level models were created within Excel spreadsheets using an Excel Add-in called SeriesSEE (Halford and others, 2012). Each Excel based water-level model file is attached within a .zip folder. The raw water levels, barometric presssure, and pumping rates from the multiple-well aquifer test are included within the child item. The raw and simplified tabular data contains water levels from 12 wells, barometric pressure from two different sites, and pumpage data in .csv file format.

Reference cited:
Halford, K., Garcia, C.A., Fenelon, J., and Mirus, B., 2012, Advanced methods for modeling water-levels and estimating drawdowns with SeriesSEE, an Excel add-In, (ver. 1.2, July, 2016): U.S. Geological Survey Techniques and Methods 4–F4, 28 p., http://dx.doi.org/10.3133/tm4F4.
DOI: 10.57992/nmrxiv.p56.s304.d1772
title: VS-20220502-Diterpen 5[13]
DOI: 10.57992/nmrxiv.p56.s297.d1726
title: 20221019-VS-CrudeYeastExtract-Peak1[21]
DOI: 10.57992/nmrxiv.p56.s309.d1803
title: 20220808-VS-Diterpen 12[14]
DOI: 10.57992/nmrxiv.p56.s312
title: VS-20220603-Diterpen3
DOI: 10.34740/kaggle/dsv/7429030
title: MoviesDatasets
DOI: 10.57992/nmrxiv.p56.s311
title: VS-20221016-Crude Yeast Extract-Peak 2
DOI: 10.57992/nmrxiv.p56.s312.d1809
title: VS-20220603-Diterpen3[10]
DOI: 10.57992/nmrxiv.p56.s314.d1815
title: of_20220725_DT1[200]
DOI: 10.57992/nmrxiv.p56.s314.d1816
title: of_20220725_DT1[201]
DOI: 10.57992/nmrxiv.p56.s314.d1817
title: of_20220725_DT1[202]
DOI: 10.57992/nmrxiv.p56.s315
title: of_20220706_MF_DT9
DOI: 10.57992/nmrxiv.p56.s315.d1819
title: of_20220706_MF_DT9[11]
DOI: 10.57992/nmrxiv.p56.s315.d1820
title: of_20220706_MF_DT9[12]
DOI: 10.34740/kaggle/dsv/7429033
title: Mahanagar Yatayat Transport Dataset
DOI: 10.57992/nmrxiv.p56.s302.d1757
title: VS-20220502-Diterpen 7[11]
DOI: 10.57992/nmrxiv.p56.s300.d1745
title: VS-20220531-Diterpen3[12]
DOI: 10.57992/nmrxiv.p56.s309.d1801
title: 20220808-VS-Diterpen 12[12]
DOI: 10.5281/zenodo.10520197
title: NOAA GML and CIRES/Uni. of Colorado-Boulder Ceilometer Cloud Data Products at Kettle Ponds (CKP) for SPLASH

description: Cloud base height / vertical visibility and attenuated backscatter coefficient profiles from NOAA GML's Vaisala CL51 ceilometer deployed at Kettle Ponds (CKP). Data have been sampled to nearest 1-min. See Readme document for details.
DOI: 10.5281/zenodo.10528946
title: Dataset related to article "Genetic Deficiency of the Long Pentraxin 3 Affects Osteogenesis and Osteoclastogenesis in Homeostatic and Inflammatory Conditions "

description: This record contains raw data related to article “Genetic Deficiency of the Long Pentraxin 3 Affects Osteogenesis and Osteoclastogenesis in Homeostatic and Inflammatory Conditions"

Abstract



The long pentraxin 3 (PTX3) is a soluble glycoprotein made by immune and nonimmune cells endowed with pleiotropic functions in innate immunity, inflammation, and tissue remodeling. PTX3 has recently emerged as a mediator of bone turnover in both physiological and pathological conditions, with direct and indirect effects on osteoblasts and osteoclasts. This notwithstanding, its role in bone biology, with major regard to the osteogenic potential of osteoblasts and their interplay with osteoclasts, is at present unclear. Here, we investigated the contribution of this pentraxin to bone deposition in the osteogenic lineage by assessing collagen production, mineralization capacity, osteoblast maturation, extracellular matrix gene expression, and inflammatory mediators' production in primary osteoblasts from the calvaria of wild-type (WT) and Ptx3-deficient (Ptx3-/-) mice. Also, we evaluated the effect of PTX3 on osteoclastogenesis in cocultures of primary osteoblasts and bone marrow-derived osteoclasts. Our investigations were carried out both in physiological and inflammatory conditions to recapitulate in vitro aspects of inflammatory diseases of the bone. We found that primary osteoblasts from WT animals constitutively expressed low levels of the protein in osteogenic noninflammatory conditions, and genetic ablation of PTX3 in these cells had no major impact on collagen and hydroxyapatite deposition. However, Ptx3-/- osteoblasts had an increased RANKL/OPG ratio and CD44 expression, which resulted in in enhanced osteoclastogenesis when cocultured with bone marrow monocytes. Inflammation (modelled through administration of tumor necrosis factor-α, TNF-α) boosted the expression and accumulation of PTX3 and inflammatory mediators in WT osteoblasts. In these conditions, Ptx3 genetic depletion was associated with reduced collagen deposition and immune modulators' production. Our study shed light on the role of PTX3 in osteoblast and osteoclast biology and identified a major effect of inflammation on the bone-related properties of this pentraxin, which might be relevant for therapeutic and/or diagnostic purposes in musculoskeletal pathology.