20 Works

DataCite Metadata Schema Documentation for the Publication and Citation of Research Data v4.3

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.32 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes Appendix 3: Standard values for unknown information Appendix 4: Version 4.1 Changes in support of software citation Appendix 5: FORCE11 Software Citation Principles Mapping

Additional file 1 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 1: Fig. S1. Validation of DE-MRGs related prognostic risk model for GBM. A, E Time dependent ROC curves for 12 DE-MRGS prognostic model in the GSE147352 and GSE16011 GBM cohort. B, F The distribution of risk scores, survival time, and status of GBM patients in the GSE147352 and GSE16011 GBM cohort. C, GThe heatmap of the 12 model DE-MRGs in the GSE147352 and GSE16011 GBM cohort. D, H Kaplan–Meier curves for OS in...

Additional file 4 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 4: Fig. S4. Validation of independence of our risk score as a prognostic factor. A The forest plot showed the univariate cox analysis using risk score, age, radiotherapy, TMZ chemotherapy, and gender as variates in the GSE16011 GBM cohort. B The forest plot showed the multivariate cox analysis using risk score, age, radiotherapy, and TMZ chemotherapy as variates in the GSE16011 GBM cohort. C Stratified OS analysis in GSE16011 GBM patients with different...

Additional file 3 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 3: Fig. S3. The time dependent ROC curves for other three prognostic models. A Time dependent ROC curves for immune-related gene signature in the TCGA GBM cohort. B Time dependent ROC curves for pyroptosis-related gene signature in the TCGA GBM cohort. C Time dependent ROC curves for autophagy-related gene signature in the TCGA GBM cohort.

Additional file 7 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 7: Table S2. The primer sequences used in the study.

DataCite to Dublin Core Mapping v4.4.

On the occasion of the release of v4.4 of the DataCite Metadata Schema its Metadata Working Group has updated the mapping to Dublin Core. This replaces the mapping in the Appendix of the DataCite-MetadataKernel v2.1. The mapping can be used to convert records described following version 4.4 of the DataCite Metadata Schema into records that comply with the Dublin Core Metadata Initiative Schema.

Additional file 2 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 2: Fig. S2. The predictivity of 12 DE-MRGs model for other cancers. A The univariate cox analysis showed that the risk score, based on our 12 DE-MRGs, significantly associated with other 12 types of TCGA cancers. B Kaplan–Meier curves for OS in the other 12 types of TCGA cancers. The patients were divided in to high- and low-risk groups based on the median value of risk score.

Additional file 5 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 5: Fig. S5. Validation of the association between risk score and immune cell infiltration. A Scatter plot showed the positive correlation between the risk score and ImmuneScore (Spearman’s rank correlation coefficient) in the GSE16011 GBM cohort. B Scatter plot showed the positive correlation between the risk score and StromalScore (Spearman’s rank correlation coefficient) in the GSE16011 GBM cohort. C Scatter plot showed the positive correlation between the risk score and ESTAMEScore (Spearman’s rank...

DataCite Metadata Schema Documentation for the Publication and Citation of Research Data and Other Research Outputs v4.4

1 Introduction 1.1 The DataCite Consortium 1.2 DataCite Community Participation 1.3 The Metadata Schema 1.4 Version 4.4 Update 2 DataCite Metadata Properties 2.1 Overview 2.2 Citation 2.3 DataCite Properties 3 XML Example 4 XML Schema 5 Other DataCite Services Appendices Appendix 1: Controlled List Definitions Appendix 2: Earlier Version Update Notes Appendix 3: Standard values for unknown information Appendix 4: Version 4.1 Changes in support of software citation Appendix 5: FORCE11 Software Citation Principles Mapping

Additional file 2 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 2: Fig. S2. The predictivity of 12 DE-MRGs model for other cancers. A The univariate cox analysis showed that the risk score, based on our 12 DE-MRGs, significantly associated with other 12 types of TCGA cancers. B Kaplan–Meier curves for OS in the other 12 types of TCGA cancers. The patients were divided in to high- and low-risk groups based on the median value of risk score.

Additional file 5 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 5: Fig. S5. Validation of the association between risk score and immune cell infiltration. A Scatter plot showed the positive correlation between the risk score and ImmuneScore (Spearman’s rank correlation coefficient) in the GSE16011 GBM cohort. B Scatter plot showed the positive correlation between the risk score and StromalScore (Spearman’s rank correlation coefficient) in the GSE16011 GBM cohort. C Scatter plot showed the positive correlation between the risk score and ESTAMEScore (Spearman’s rank...

Petrogenesis of Neoproterozoic mafic dykes in western Yangtze Block, South China: implications for the assembly and break-up of Rodinia

Fuhao Xiong, Qing Liu, Mingcai Hou & Shengwu Yan
Neoproterozoic mafic dyke swarms are an important probe for reconstructing the evolutionary history of the Rodinia supercontinent. Here, we present detailed geochronological, geochemical, and Sr–Nd–Hf isotopic data to constrain the petrogenesis and geodynamic setting of Neoproterozoic mafic dyke swarms in the western Yangtze Block, South China. Petrological and zircon U–Pb dating studies reveal that the studied dykes mainly comprise subophitic-textured dolerite and intergranular dolerite with crystallization ages of ca. 823–817 Ma and ca. 795–794 Ma,...

Additional file 1 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 1: Fig. S1. Validation of DE-MRGs related prognostic risk model for GBM. A, E Time dependent ROC curves for 12 DE-MRGS prognostic model in the GSE147352 and GSE16011 GBM cohort. B, F The distribution of risk scores, survival time, and status of GBM patients in the GSE147352 and GSE16011 GBM cohort. C, GThe heatmap of the 12 model DE-MRGs in the GSE147352 and GSE16011 GBM cohort. D, H Kaplan–Meier curves for OS in...

Additional file 3 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 3: Fig. S3. The time dependent ROC curves for other three prognostic models. A Time dependent ROC curves for immune-related gene signature in the TCGA GBM cohort. B Time dependent ROC curves for pyroptosis-related gene signature in the TCGA GBM cohort. C Time dependent ROC curves for autophagy-related gene signature in the TCGA GBM cohort.

Additional file 4 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 4: Fig. S4. Validation of independence of our risk score as a prognostic factor. A The forest plot showed the univariate cox analysis using risk score, age, radiotherapy, TMZ chemotherapy, and gender as variates in the GSE16011 GBM cohort. B The forest plot showed the multivariate cox analysis using risk score, age, radiotherapy, and TMZ chemotherapy as variates in the GSE16011 GBM cohort. C Stratified OS analysis in GSE16011 GBM patients with different...

Additional file 7 of Identification of SSBP1 as a ferroptosis-related biomarker of glioblastoma based on a novel mitochondria-related gene risk model and in vitro experiments

Jun Su, Yue Li, Qing Liu, Gang Peng, Chaoying Qin & Yang Li
Additional file 7: Table S2. The primer sequences used in the study.

Petrogenesis of neoproterozoic mafic dykes in western Yangtze Block, South China: implications for the assembly and break-up of Rodinia

Fuhao Xiong, Qing Liu, Mingcai Hou & Shengwu Yan
Neoproterozoic mafic dyke swarms are an important probe for reconstructing the evolutionary history of the Rodinia supercontinent. Here, we present detailed geochronological, geochemical, and Sr–Nd–Hf isotopic data to constrain the petrogenesis and geodynamic setting of Neoproterozoic mafic dyke swarms in the western Yangtze Block, South China. Petrological and zircon U–Pb dating studies reveal that the studied dykes mainly comprise subophitic-textured dolerite and intergranular dolerite with crystallization ages of ca. 823–817 Ma and ca. 795–794 Ma,...

Petrogenesis of Neoproterozoic mafic dykes in western Yangtze Block, South China: implications for the assembly and break-up of Rodinia

Fuhao Xiong, Qing Liu, Mingcai Hou & Shengwu Yan
Neoproterozoic mafic dyke swarms are an important probe for reconstructing the evolutionary history of the Rodinia supercontinent. Here, we present detailed geochronological, geochemical, and Sr–Nd–Hf isotopic data to constrain the petrogenesis and geodynamic setting of Neoproterozoic mafic dyke swarms in the western Yangtze Block, South China. Petrological and zircon U–Pb dating studies reveal that the studied dykes mainly comprise subophitic-textured dolerite and intergranular dolerite with crystallization ages of ca. 823–817 Ma and ca. 795–794 Ma,...

Registration Year

  • 2022
    15
  • 2021
    3
  • 2019
    2

Resource Types

  • Text
    20

Affiliations

  • National Research Council Canada
    17
  • Sun Yat-sen University
    15
  • Jiangxi Agricultural University
    15
  • Central South University
    15
  • Guangdong Academy of Agricultural Sciences
    15
  • Pfizer (United States)
    15
  • Affiliated Hospital of Qingdao University
    15
  • Wuhan University
    14
  • Xinxiang Medical University
    14
  • Huaqiao University
    14