cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16847472.v1
title: Protein phosphatase 1 regulatory subunit 3G (PPP1R3G) correlates with poor prognosis and immune infiltration in lung adenocarcinoma

description: The protein phosphatase 1 regulatory subunit 3 G (PPP1R3G) participates in many tumor biological processes; however, its effects on lung adenocarcinoma (LUAD) have not been clarified. Therefore, this study aimed to explore the correlation between PPP1R3G and the prognosis and immune invasion of LUAD. We evaluated the relationship between PPP1R3G and LUAD using a wide range of databases and analysis tools, including UALCAN, TIMER, miRDB, The Human Protein Atlas and the MethSurv database. First, we explored the mRNA and protein expression levels of PPP1R3G in LUAD, and results were validated using real-time PCR. Next, we explored the relationship between PPP1R3G expression and clinical features. Finally, Kaplan-Meier curves and Cox regression were employed to investigate the prognostic significance of PPP1R3G in LUAD. In addition, we explored the relationship between the expression of PPP1R3G and immune infiltration using the TIMER database. We analyzed the relationship between PPP1R3G and methylation using MethSurv database. Results showed that PPP1R3G expression in LUAD tissues was higher than that in normal tissues, and high expression was suggestive of a poor prognosis. Moreover, PPP1R3G expression was positively correlated with the immune infiltration of CD4 + T cells, macrophages, neutrophils, and dendritic cells. PPP1R3G copy number variations also demonstrated remarkable associations with the levels of B cells, CD4 + T cells, macrophages, neutrophils, and dendritic cells. Finally, a PPP1R3G-associated regulatory network was constructed. Overall, PPP1R3G might be a poor prognostic biomarker for LUAD and is associated with tumor immune cell infiltration. <b>Abbreviations:</b> LUAD: Lung adenocarcinoma; PPP1R3G: The protein phosphatase 1 regulatory subunit 3G; OS: overall survival; CI: confidence interval; CNV: copy number variance; HR: Hazard Ratio; ROC: receiver operating characteristic curve; AUC: area under the curve; TCGA: The Cancer Genome Atlas
DOI: 10.6084/m9.figshare.16847472
title: Protein phosphatase 1 regulatory subunit 3G (PPP1R3G) correlates with poor prognosis and immune infiltration in lung adenocarcinoma

description: The protein phosphatase 1 regulatory subunit 3 G (PPP1R3G) participates in many tumor biological processes; however, its effects on lung adenocarcinoma (LUAD) have not been clarified. Therefore, this study aimed to explore the correlation between PPP1R3G and the prognosis and immune invasion of LUAD. We evaluated the relationship between PPP1R3G and LUAD using a wide range of databases and analysis tools, including UALCAN, TIMER, miRDB, The Human Protein Atlas and the MethSurv database. First, we explored the mRNA and protein expression levels of PPP1R3G in LUAD, and results were validated using real-time PCR. Next, we explored the relationship between PPP1R3G expression and clinical features. Finally, Kaplan-Meier curves and Cox regression were employed to investigate the prognostic significance of PPP1R3G in LUAD. In addition, we explored the relationship between the expression of PPP1R3G and immune infiltration using the TIMER database. We analyzed the relationship between PPP1R3G and methylation using MethSurv database. Results showed that PPP1R3G expression in LUAD tissues was higher than that in normal tissues, and high expression was suggestive of a poor prognosis. Moreover, PPP1R3G expression was positively correlated with the immune infiltration of CD4 + T cells, macrophages, neutrophils, and dendritic cells. PPP1R3G copy number variations also demonstrated remarkable associations with the levels of B cells, CD4 + T cells, macrophages, neutrophils, and dendritic cells. Finally, a PPP1R3G-associated regulatory network was constructed. Overall, PPP1R3G might be a poor prognostic biomarker for LUAD and is associated with tumor immune cell infiltration. <b>Abbreviations:</b> LUAD: Lung adenocarcinoma; PPP1R3G: The protein phosphatase 1 regulatory subunit 3G; OS: overall survival; CI: confidence interval; CNV: copy number variance; HR: Hazard Ratio; ROC: receiver operating characteristic curve; AUC: area under the curve; TCGA: The Cancer Genome Atlas
DOI: 10.6084/m9.figshare.16847584
title: Hypoxia promotes the proliferation of mouse liver sinusoidal endothelial cells: miRNA–mRNA expression analysis

description: During the initial stage of liver regeneration (LR), hepatocytes and liver sinusoidal endothelial cells (LSECs) initiate regeneration in a hypoxic environment. However, the role of LSECs in liver regeneration in hypoxic environments and their specific molecular mechanism is unknown. Therefore, this study aimed to explore the miRNA–mRNA network that regulates the proliferation of LSECs during hypoxia. In this study, first, we found that the proliferation ability of primary LSECs treated with hypoxia was enhanced compared with the control group, and then whole transcriptome sequencing was performed to screen 1837 differentially expressed (DE) genes and 17 DE miRNAs. Subsequently, the bioinformatics method was used to predict the target genes of miRNAs, and 309 pairs of interacting miRNA–mRNA pairs were obtained. Furthermore, the miRNA-gene action network was established using the negative interacting miRNA–mRNA pairs. The selected mRNAs were analyzed by Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and biological processes (BP) and signal pathways related to LSEC proliferation that were significantly enriched in GO-BP and KEGG were selected. Finally, 22 DE genes and 17 DE miRNAs were screened and the network was created. We also successfully verified the significant changes in the top six genes and miRNAs using qRT-PCR, and the results were consistent with the sequencing results. This study proposed that a specific miRNA–mRNA network is associated with hypoxia-induced proliferation of LSECs, which will assist in elucidating the potential mechanisms involved in hypoxia-promoting liver regeneration during LR.
DOI: 10.6084/m9.figshare.20517269
title: Additional file 1 of uSing rolE-substitutioN In care homes to improve ORal health (SENIOR): a study protocol

description: Additional file 1. Consent form (trial residents). Consent form (care-homes).
DOI: 10.6084/m9.figshare.16847584.v1
title: Hypoxia promotes the proliferation of mouse liver sinusoidal endothelial cells: miRNA–mRNA expression analysis

description: During the initial stage of liver regeneration (LR), hepatocytes and liver sinusoidal endothelial cells (LSECs) initiate regeneration in a hypoxic environment. However, the role of LSECs in liver regeneration in hypoxic environments and their specific molecular mechanism is unknown. Therefore, this study aimed to explore the miRNA–mRNA network that regulates the proliferation of LSECs during hypoxia. In this study, first, we found that the proliferation ability of primary LSECs treated with hypoxia was enhanced compared with the control group, and then whole transcriptome sequencing was performed to screen 1837 differentially expressed (DE) genes and 17 DE miRNAs. Subsequently, the bioinformatics method was used to predict the target genes of miRNAs, and 309 pairs of interacting miRNA–mRNA pairs were obtained. Furthermore, the miRNA-gene action network was established using the negative interacting miRNA–mRNA pairs. The selected mRNAs were analyzed by Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and biological processes (BP) and signal pathways related to LSEC proliferation that were significantly enriched in GO-BP and KEGG were selected. Finally, 22 DE genes and 17 DE miRNAs were screened and the network was created. We also successfully verified the significant changes in the top six genes and miRNAs using qRT-PCR, and the results were consistent with the sequencing results. This study proposed that a specific miRNA–mRNA network is associated with hypoxia-induced proliferation of LSECs, which will assist in elucidating the potential mechanisms involved in hypoxia-promoting liver regeneration during LR.
DOI: 10.34740/kaggle/dsv/7584432
title: crypto-data-daily-updates
DOI: 10.3886/e198148v1
title: Macroprudential Policies and Brexit: A Welfare Analysis

description: Brexit will have implications on financial stability and the implementation of macroprudential policies. The United Kingdom (UK) will no longer be subject to the jurisdiction of the European Systemic Risk Board (ESRB). This paper studies the welfare implications of this change of regime. By means of a Dynamic Stochastic General Equilibrium model (DSGE), I compare the pre-Brexit scenario with the new one, in which the UK sets macroprudential policy independently. I find that, after Brexit, the UK is better off by setting its own macroprudential policy without taking into account Europe's welfare as a whole.
DOI: 10.6084/m9.figshare.22614617
title: Additional file 2 of Targeting G-quadruplex for rescuing impaired chondrogenesis in WRN-deficient stem cells

description: Additional file 2. Supplementary table containing T1 (primers used in the construction of plasmids), T2 (gRNA sequences), T3 (qPCR primer sequences) and T4 (antibodies used in this study).
DOI: 10.18128/d130.v1.0
title: IPUMS-CDOH, Contextual Determinants of Health: Version 1.0

description: IPUMS CDOH is a collection of contextual measures of disparities, policies, and counts for historically marginalized populations in the United States, including Black, Asian, Hispanic/Latina/o/e/x, LGBTQ+ persons, and women. It consists of measures related to racism, sexism, cisheterosexism, and politics for geographic levels, including states and counties, and the availability of measures varies by year. Measures are typically available from 2015-present, but some are available back to the early 2000s.
DOI: 10.21223/mwscqx/rimjlq
title: 02_FlwCyt_Data_molecular-CWR_2021_Selfing and reproductive traits.xlsx

description: :unav
DOI: 10.21223/mwscqx/jxuiea
title: 05_Material list_summary-CWR_2021_Selfing and reproductive traits.tab

description: :unav
DOI: 10.6084/m9.figshare.22614922.v1
title: Additional file 1 of m6A regulator-mediated methylation modification patterns and immune microenvironment infiltration characterization in osteoarthritis

description: Additional file 1: Table S1. The information of the samples
DOI: 10.6084/m9.figshare.22614934.v1
title: Additional file 3 of Global burden of prostate cancer attributable to smoking among males in 204 countries and territories, 1990–2019

description: Additional file 3: Table S7. Percentage change across countries of the fraction of all prostate cancer deaths that are attributable to smoking (95% UI).
DOI: 10.6084/m9.figshare.22614937
title: Additional file 4 of Global burden of prostate cancer attributable to smoking among males in 204 countries and territories, 1990–2019

description: Additional file 4: Table S8. Percentage change across countries of the fraction of all prostate cancer DALYs that are attributable to smoking (95% UI).
DOI: 10.21223/mwscqx/zhjtw5
title: 07_SC_TPS-CWR_2021_Selfing and reproductive traits.xlsx

description: :unav
DOI: 10.6084/m9.figshare.22614931.v1
title: Additional file 2 of Global burden of prostate cancer attributable to smoking among males in 204 countries and territories, 1990–2019

description: Additional file 2: Table S1. Top 10 countries or territories with the highest number of prostate cancer deaths attributable to smoking in 2019. Table S2. Top 10 countries or territories with the highest number of prostate cancer DALYs smoking in 2019. Table S3. Top 10 countries or territories with the highest prostate cancer ASMR per 10 000  attributable to smoking in 2019. Table S4. Top 10 countries or territories with the highest prostate cancer ASDR (per 100,000) attributable to smoking in 2019. Table S5. Top 10 countries or territories with the highest or lowest EAPC in ASMR (per 100,000) attributable to smoking, 1990-2019. Table S6. Top 10 countries or territories with the highest or lowest EAPC in ASDR attributable to smoking, 1990-2019.
DOI: 10.6084/m9.figshare.22614937.v1
title: Additional file 4 of Global burden of prostate cancer attributable to smoking among males in 204 countries and territories, 1990–2019

description: Additional file 4: Table S8. Percentage change across countries of the fraction of all prostate cancer DALYs that are attributable to smoking (95% UI).
DOI: 10.6084/m9.figshare.22614958.v1
title: Additional file 11 of Global burden of prostate cancer attributable to smoking among males in 204 countries and territories, 1990–2019

description: Additional file 11: Table S6. Decomposition analysis of the contribution of population growth and population aging on the global prostate cancer burden due to smoking.
DOI: 10.21223/mwscqx
title: Dataset for: Evaluation of reproductive traits and pheno-genotypic analysis of self-compatibility in F1 population (CWR_LB)

description: "A total of 1203 genotypes from 38 segregant families (CWR_LB), obtained through crosses between potato wild relatives and 2x-hybrids with self-compatibility attributes, were assessed to investigate reproductive traits. The evaluation encompassed parameters such as flowering degree, peak flowering, pollen viability, and pollen 2n production. Concurrently, a crossing plan for the self-compatibility assay was implemented, involving two repetitions for each genotype. All crossing assay genotypes were collected and genotyped for Sli gene presence through the KASP platform to explore the correlation between phenotype and genotype. Ultimately, 336 genotypes exhibited phenotypic self-compatibility, yielding between 2 and 4000 true potato seeds (TPS). This output corresponds to the first self-generation cycle (S1)."
DOI: 10.21223/mwscqx/x8cadd
title: 04_Material list-CWR_2021_Selfing and reproductive traits.tab

description: :unav
DOI: 10.6073/pasta/87df7ed5be1da9f50f54b2f8c70b10cf
title: Dissolved oxygen and pH data collected in shallow riparian ponds from June - September 2013 for a study on hypoxia and hyperoxia.

description: Dissolved Oxygen and pH data collected using YSI sondes in shallow riparian ponds over three 72 hour periods in June, July, and September focused on patches of dominant vegetation within this pond. The differences in data represent the impact of these dominant vegetation patches on the oxygen dynamics and metabolism of the aquatic system. Data was collected either hourly or in five minute increments over the three study periods which were intended to capture spring (June), summer (July), and fall (September) conditions in the pond. The pond did experience successive states of pond vegetation over the seasons so some macrophytes are not represented in all seasons. Data also includes summary information taken from the primary oxygen data showing hours of hypoxia or hyperoxia or basicity in the various vegetation treatments.
DOI: 10.6084/m9.figshare.22614989.v1
title: Additional file 6 of Transcriptomics and metabolomics reveal changes in the regulatory mechanisms of osteosarcoma under different culture methods in vitro

description: Additional file 6: Table S2. 166 differentially expressed genes were analyzed by Veen.
DOI: 10.6084/m9.figshare.22614986.v1
title: Additional file 5 of Transcriptomics and metabolomics reveal changes in the regulatory mechanisms of osteosarcoma under different culture methods in vitro

description: Additional file 5: Table S1. RNA-Seq data quality assessment. Valid Ratio refers to the proportion of valid reads. Q30% is the proportion of bases with a quality value ≥ 30, which should normally be greater than 85%. GC content% is the proportion of GC content, which should normally be between 40% and 50%.
DOI: 10.6084/m9.figshare.6886424.v1
title: Insights into the Genetic and Host Adaptability of Emerging Porcine Circovirus 3

description: Porcine circovirus 3 (PCV3) was found to be associated with reproductive disease in pigs, and since its first identification in the United States, it subsequently spread worldwide, especially in China, where it might pose a potential threat to the porcine industry. However, no exhaustive analysis was performed to understand its evolution in the prospect of codon usage pattern. Here, we performed a deep codon usage analysis of PCV3. PCV3 sequences were classified into two clades: PCV3a and PCV3b, confirmed by principal component analysis. Additionally, the degree of codon usage bias of PCV3 was slightly low as inferred from the analysis of the effective number of codons. The codon usage pattern was mainly affected by natural selection, but there was a co-effect of mutation pressure and dinucleotide frequency. Moreover, based on similarity index analysis, codon adaptation index analysis and relative codon deoptimization index analysis, we found that PCV3 might pose a potential risk to public health though with unknow pathogenicity. In conclusion, this work reinforces the systematic understanding of the evolution of PCV3, which was reflected by the codon usage patterns and fitness of this novel emergent virus.
DOI: 10.6084/m9.figshare.22615013
title: Additional file 2 of Assessing Epstein–Barr virus in gastric cancer: clinicopathological features and prognostic implications

description: Additional file2. Univariate and multivariate analysis of overall survival-related factors.
DOI: 10.6084/m9.figshare.22615010.v1
title: Additional file 1 of Assessing Epstein–Barr virus in gastric cancer: clinicopathological features and prognostic implications

description: Additional file1. Relationship between EBV infection and clinicopathologic characteristics.
DOI: 10.15468/dl.56ejh3
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscari baeticum Blanca, Ruíz Rejón & Suár.-Sant."
 ]
}

 The dataset includes 175 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058002-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgzm5s
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Octoknema aruwimiensis Mildbr."
 ]
}

 The dataset includes 127 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058003-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25511470
title: Figure 3 Raw Data - 2022-10-30 - 1710

description: 2022-10-30 030621 S PH 50x25um-1710cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.6084/m9.figshare.25511470.v1
title: Figure 3 Raw Data - 2022-10-30 - 1710

description: 2022-10-30 030621 S PH 50x25um-1710cm-1 2mW-TA 87nm-hBNonRuCl-nanspecdata
DOI: 10.15468/dl.rre8qu
title: Occurrence Download

description: A dataset containing 1614 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Momordica balsamina L."
 ]
}

 The dataset includes 1614 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058004-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pv3gw
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neoalsomitra pilosa W.J.de Wilde & Duyfjes"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058005-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3sgcw
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscari bicolor Boiss."
 ]
}

 The dataset includes 109 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058006-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suvmcs
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Octoknema bakossiensis Gosline & Malécot"
 ]
}

 The dataset includes 95 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058007-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cewhgt
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neoalsomitra plena (Craib) Hutch."
 ]
}

 The dataset includes 46 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058008-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8qv2jn
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Momordica boivinii Baill."
 ]
}

 The dataset includes 189 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058009-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnrvca
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Octoknema belingensis Gosline & Malécot"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058011-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frdks3
title: Occurrence Download

description: A dataset containing 21789 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muscari botryoides (L.) Mill."
 ]
}

 The dataset includes 21789 records from 435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058010-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jngyzd
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neoalsomitra sarcophylla (Wall.) Hutch."
 ]
}

 The dataset includes 184 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058012-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dm39x
title: Occurrence Download

description: A dataset containing 249 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Momordica cabrae (Cogn.) C.Jeffrey"
 ]
}

 The dataset includes 249 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058013-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.