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  • 1
    Online Resource
    Online Resource
    Identification and characterization of short tandem repeats in the Tibetan macaque genome based on resequencing data
    Zoological Research ; 2018
    In:  Zoological Research Vol. 39, No. 4 ( 2018), p. 291-300
    Details
    In: Zoological Research, Zoological Research, Vol. 39, No. 4 ( 2018), p. 291-300
    Type of Medium: Online Resource
    ISSN: 2095-8137
    URL: Article
    DOI: 10.24272/j.issn.2095-8137.2018.047
    Language: English
    Publisher: Zoological Research
    Publication Date: 2018
    detail.hit.zdb_id: 2196960-7
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Micro‐morphological feature visualization, auto‐classification, and evolution quantitative analysis of tumors by using SR‐PCT
    Wiley ; 2021
    In:  Cancer Medicine Vol. 10, No. 7 ( 2021-04), p. 2319-2331
    Details
    In: Cancer Medicine, Wiley, Vol. 10, No. 7 ( 2021-04), p. 2319-2331
    Abstract: Tissue micro‐morphological abnormalities and interrelated quantitative data can provide immediate evidences for tumorigenesis and metastasis in microenvironment. However, the multiscale three‐dimensional nondestructive pathological visualization, measurement, and quantitative analysis are still a challenging for the medical imaging and diagnosis. In this work, we employed the synchrotron‐based X‐ray phase‐contrast tomography (SR‐PCT) combined with phase‐and‐attenuation duality phase retrieval to reconstruct and extract the volumetric inner‐structural characteristics of tumors in digesting system, helpful for tumor typing and statistic calculation of different tumor specimens. On the basis of the feature set including eight types of tumor micro‐lesions presented by our SR‐PCT reconstruction with high density resolution, the AlexNet‐based deep convolutional neural network model was trained and obtained the 94.21% of average accuracy of auto‐classification for the eight types of tumors in digesting system. The micro‐pathomophological relationship of liver tumor angiogenesis and progression were revealed by quantitatively analyzing the microscopic changes of texture and grayscale features screened by a machine learning method of area under curve and principal component analysis. The results showed the specific path and clinical manifestations of tumor evolution and indicated that these progressions of tumor lesions rely on its inflammation microenvironment. Hence, this high phase‐contrast 3D pathological characteristics and automatic analysis methods exhibited excellent recognizable and classifiable for micro tumor lesions.
    Type of Medium: Online Resource
    ISSN: 2045-7634 , 2045-7634
    URL: Issue
    URL: Article
    DOI: 10.1002/cam4.v10.7
    DOI: 10.1002/cam4.3796
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2659751-2
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  • 3
    Online Resource
    Online Resource
    Table_4.xlsx
    Frontiers Media SA ; 2021
    In:  Frontiers in Oncology Vol. 11 ( 2021-5-28)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-5-28)
    Abstract: Glucose transporter 1 (GLUT1) is encoded by the solute carrier family 2A1 (SLC2A1) gene and is one of the glucose transporters with the greatest affinity for glucose. Abnormal expression of GLUT1 is associated with a variety of cancers. However, the biological role of GLUT1 in esophageal carcinoma (ESCA) remains to be determined. Methods We analyzed the expression of GLUT1 in pan-cancer and ESCA as well as clinicopathological analysis through multiple databases. Use R and STRING to perform GO/KEGG function enrichment and PPI analysis for GLUT1 co-expression. TIMER and CIBERSORT were used to analyze the relationship between GLUT1 expression and immune infiltration in ESCA. The TCGA ESCA cohort was used to analyze the relationship between GLUT1 expression and m6A modification in ESCA, and to construct a regulatory network in line with the ceRNA hypothesis. Results GLUT1 is highly expressed in a variety of tumors including ESCA, and is closely related to histological types and histological grade. GO/KEGG functional enrichment analysis revealed that GLUT1 is closely related to structural constituent of cytoskeleton, intermediate filament binding, cell-cell adheres junction, epidermis development, and P53 signaling pathway. PPI shows that GLUT1 is closely related to TP53, GIPC1 and INS, and these three proteins all play an important role in tumor proliferation. CIBERSORT analysis showed that GLUT1 expression is related to the infiltration of multiple immune cells. When GLUT1 is highly expressed, the number of memory B cells decreases. ESCA cohort analysis found that GLUT1 expression was related to 7 m6A modifier genes. Six possible crRNA networks in ESCA were constructed by correlation analysis, and all these ceRNA networks contained GLUT1. Conclusion GLUT1 can be used as a biomarker for the diagnosis and treatment of ESCA, and is related to tumor immune infiltration, m6A modification and ceRNA network.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fonc.2021.665388
    DOI: 10.3389/fonc.2021.665388.s001
    DOI: 10.3389/fonc.2021.665388.s002
    DOI: 10.3389/fonc.2021.665388.s003
    DOI: 10.3389/fonc.2021.665388.s004
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2649216-7
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  • 4
    Online Resource
    Online Resource
    Delayed Noradrenergic Activation in the Dorsal Hippocampus Promotes the Long-Term Persistence of Extinguished Fear
    Springer Science and Business Media LLC ; 2014
    In:  Neuropsychopharmacology Vol. 39, No. 8 ( 2014-07), p. 1933-1945
    Details
    In: Neuropsychopharmacology, Springer Science and Business Media LLC, Vol. 39, No. 8 ( 2014-07), p. 1933-1945
    Type of Medium: Online Resource
    ISSN: 0893-133X , 1740-634X
    URL: Article
    DOI: 10.1038/npp.2014.42
    RVK:
    WA 15000
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2014
    detail.hit.zdb_id: 2008300-2
    SSG: 15,3
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  • 5
    Online Resource
    Online Resource
    Prediction of postpartum hemorrhage in pregnant women with immune thrombocytopenia: Development and validation of the MONITOR model in a nationwide multicenter study
    Wiley ; 2021
    In:  American Journal of Hematology Vol. 96, No. 5 ( 2021-05), p. 561-570
    Details
    In: American Journal of Hematology, Wiley, Vol. 96, No. 5 ( 2021-05), p. 561-570
    Abstract: Globally, postpartum hemorrhage (PPH) is the leading cause of maternal death. Women with immune thrombocytopenia (ITP) are at increased risk of developing PPH. Early identification of PPH helps to prevent adverse outcomes, but is underused because clinicians do not have a tool to predict PPH for women with ITP. We therefore conducted a nationwide multicenter retrospective study to develop and validate a prediction model of PPH in patients with ITP. We included 432 pregnant women (677 pregnancies) with primary ITP from 18 academic tertiary centers in China from January 2008 to August 2018. A total of 157 (23.2%) pregnancies experienced PPH. The derivation cohort included 450 pregnancies. For the validation cohort, we included 117 pregnancies in the temporal validation cohort and 110 pregnancies in the geographical validation cohort. We assessed 25 clinical parameters as candidate predictors and used multivariable logistic regression to develop our prediction model. The final model included seven variables and was named MONITOR ( m aternal complication, WH O bleeding score, a n tepartum platelet transfusion, placental abnormal i ties, pla t elet count, previ o us uterine surgery, and p r imiparity). We established an easy‐to‐use risk heatmap and risk score of PPH based on the seven risk factors. We externally validated this model using both a temporal validation cohort and a geographical validation cohort. The MONITOR model had an AUC of 0.868 (95% CI 0.828–0.909) in internal validation, 0.869 (95% CI 0.802–0.937) in the temporal validation, and 0.811 (95% CI 0.713–0.908) in the geographical validation. Calibration plots demonstrated good agreement between MONITOR‐predicted probability and actual observation in both internal validation and external validation. Therefore, we developed and validated a very accurate prediction model for PPH. We hope that the model will contribute to more precise clinical care, decreased adverse outcomes, and better health care resource allocation.
    Type of Medium: Online Resource
    ISSN: 0361-8609 , 1096-8652
    URL: Issue
    URL: Article
    DOI: 10.1002/ajh.v96.5
    DOI: 10.1002/ajh.26134
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1492749-4
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  • 6
    Online Resource
    Online Resource
    Table3.XLSX
    Frontiers Media SA ; 2022
    In:  Frontiers in Cell and Developmental Biology Vol. 10 ( 2022-3-24)
    Details
    In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 10 ( 2022-3-24)
    Abstract: Background: Overexpression of solute carrier family 2 member 1 (SLC2A1) promotes glycolysis and proliferation and migration of various tumors. However, there are few comprehensive studies on SLC2A1 in colorectal cancer (CRC). Methods: Oncomine, The Cancer Genome Atlas (TCGA), and Gene Expression Omnibus (GEO) databases were used to analyze the expression of SLC2A1 in pan-cancer and CRC and analyzed the correlation between SLC2A1 expression and clinical characteristics of TCGA CRC samples. The expression level of SLC2A1 in CRC was certified by cell experiments and immunohistochemical staining analysis. The Genome Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) analyses of SLC2A1 relative genes were completed by bioinformatics analysis. The correlation between SLC2A1 expression level and CRC immune infiltration cell was analyzed by Tumor IMmune Estimation Resource (TIMER), Gene Expression Profiling Interactive Analysis (GEPIA), and TCGA database. The correlation between SLC2A1 expression level and ferroptosis and m6A modification of CRC was analyzed by utilizing TCGA and GEO cohort. Finally, the possible competing endogenous RNA (ceRNA) networks involved in SLC2A1 in CRC are predicted and constructed through various databases. Results: SLC2A1 is highly expressed not only in CRC but also in many other tumors. ROC curve indicated that SLC2A1 had high predictive accuracy for the outcomes of tumor. The SLC2A1 expression in CRC was closely correlated with tumor stage and progression free interval (PFI). GO, KEGG, and GSEA analysis indicated that SLC2A1 relative genes were involved in multiple biological functions. The analysis of TIMER, GEPIA, and TCGA database indicated that the SLC2A1 mRNA expression was mainly positively associated with neutrophils. By the analysis of the TCGA and GEO cohort, we identified that the expression of SLC2A1 is closely associated to an m6A modification relative gene Insulin Like Growth Factor 2 MRNA Binding Protein 3 (IGF2BP3) and a ferroptosis relative gene Glutathione Peroxidase 4 (GPX4). Conclusion: SLC2A1 can be used as a biomarker of CRC, which is associated to immune infiltration, m6A modification, ferroptosis, and ceRNA regulatory network of CRC.
    Type of Medium: Online Resource
    ISSN: 2296-634X
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fcell.2022.853596
    DOI: 10.3389/fcell.2022.853596.s001
    DOI: 10.3389/fcell.2022.853596.s002
    DOI: 10.3389/fcell.2022.853596.s003
    DOI: 10.3389/fcell.2022.853596.s004
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2737824-X
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  • 7
    Online Resource
    Online Resource
    Comprehensive Analysis of Prognostic and Immune Infiltrates for E2F Transcription Factors in Human Pancreatic Adenocarcinoma
    Frontiers Media SA ; 2021
    In:  Frontiers in Oncology Vol. 10 ( 2021-2-2)
    Details
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 10 ( 2021-2-2)
    Abstract: E2F transcription factors (E2Fs) are a group of genes encoding a family of transcription factors in higher eukaryotes. They are involved in a variety of cellular functions and are up-regulated in many tissues and organs. However, the expression level, genetic variation, molecular mechanism, and biological function of different E2Fs in PAAD and its relationship with the prognosis and immune infiltration in patients with PAAD have not been fully elucidated. Methods In this study, we investigated the mRNA expression level, genetic variation, prognostic value and gene–gene interaction network of E2Fs in PAAD using the Oncomine, GEPIA, Kaplan Meier plotter, cBioPortal, GeneMANIA, STRING and Metascape database. Then, the relationship between E2Fs expression and tumor immune invasion was studied by using the TIMER database. Finally, we confirmed the expression of E2Fs in PAAD by IHC. Results The transcription levels of E2F1/3/5/8 are obviously up-regulated in PAAD and the high expression of E2F2/3/6/8 was apparently associated with the tumor stage of patients with PAAD. The abnormal expression of E2F1/2/3/4/5/7/8 in PAAD patients is related to the clinical outcome of PAAD patients. We also found that PAAD tissues have higher expression levels of E2F1/3/5/8 compared with adjacent normal tissues. The function of E2Fs and its neighboring genes is mainly related to the transcription initiation of the RNA polymerase II promoter. The functions of E2Fs and its neighboring proteins are mainly related to cell cycle, virus carcinogenesis, FoxO signaling pathway, TGF- β signaling pathway, transcriptional disorders in cancer and Wnt signaling pathway. We also found that the expression of E2Fs was significantly correlated with immune infiltrates, including B cells, CD8+ T cells, CD4+T cells, neutrophils, macrophages, and dendritic cells. Conclusions Our study may provide new insights into the choice of immunotherapy targets and prognostic biomarkers in PAAD patients.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    URL: Article
    DOI: 10.3389/fonc.2020.606735
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2649216-7
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  • 8
    Online Resource
    Online Resource
    Table2.XLSX
    Frontiers Media SA ; 2022
    In:  Frontiers in Genetics Vol. 13 ( 2022-3-23)
    Details
    In: Frontiers in Genetics, Frontiers Media SA, Vol. 13 ( 2022-3-23)
    Abstract: Background: YTHDF1 is highly expressed in multiple tumors and affects tumor progression. However, there are only a few comprehensive studies on the analysis of YTHDF1 in esophageal cancer. Methods: We analyzed YTHDF1 expression in pan-cancer by comparing both the GEPIA and TCGA cohorts, and further verified the differences in YTHDF1 expression between the ESCA and normal groups by the GEO ESCA cohort and in vitro experiments. The correlation of YTHDF1 expression and the clinical characteristics of ESCA patients was analyzed using the TCGA ESCA clinical data. The GO and KEGG enrichment analyses of the YTHDF1 coexpressed genes were completed by bioinformatics analysis, and the GGI and PPI were constructed for the YTHDF1, respectively. The relationship between YTHDF1 expression and the infiltration of ESCA immune cells was analyzed by using the TIMER database and the TCGA ESCA cohort. The relationships between YTHDF1 expression levels and glycolysis and ferroptosis-related genes were analyzed using the TCGA and GEPIA ESCA cohorts. Finally, the ceRNA network that may be involved in YTHDF1 in ESCA was predicted and constructed through a variety of databases. Results: YTHDF1 was overexpressed in various cancers, and in vitro experiments confirmed that YTHDF1 expression was higher in ESCA samples than in normal samples. The expression of YTHDF1 has some accuracy in predicting the tumor outcome. Expression of YTHDF1 was significantly associated with multiple clinical features in ESCA patients. GO and KEGG enrichment analyses indicated that YTHDF1 coexpressed genes involved multiple biological functions. There is a potential association between YTHDF1 expression and multiple immune cell infiltration, glycolysis, and ferroptosis-related genes in ESCA. YTHDF1 may be involved in multiple ceRNA regulatory networks in ESCA, including PAXIP1-AS1/hsa-miR-376c-3p/YTHDF1 axis, THUMPD3-AS1/hsa-miR-655-3p/YTHDF1 axis, and SNHG20/hsa-miR-655-3p/YTHDF1 axis, respectively. Conclusion: YTHDF1 can serve as a biomarker of ESCA, related to the immune cell infiltration of ESCA, regulation of glycolysis and ferroptosis, and the ceRNA regulatory network.
    Type of Medium: Online Resource
    ISSN: 1664-8021
    URL: Article
    URL: Article
    URL: Article
    URL: Article
    DOI: 10.3389/fgene.2022.835265
    DOI: 10.3389/fgene.2022.835265.s001
    DOI: 10.3389/fgene.2022.835265.s002
    DOI: 10.3389/fgene.2022.835265.s003
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2606823-0
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  • 9
    Online Resource
    Online Resource
    Isotopic evaluation on relative contributions of major NOx sources to nitrate of PM2.5 in Beijing
    Elsevier BV ; 2019
    In:  Environmental Pollution Vol. 248 ( 2019-05), p. 183-190
    Details
    In: Environmental Pollution, Elsevier BV, Vol. 248 ( 2019-05), p. 183-190
    Type of Medium: Online Resource
    ISSN: 0269-7491
    URL: Article
    DOI: 10.1016/j.envpol.2019.01.081
    RVK:
    AR 10100
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2019
    detail.hit.zdb_id: 280652-6
    detail.hit.zdb_id: 2013037-5
    SSG: 12
    SSG: 14
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  • 10
    Online Resource
    Online Resource
    Immunochemotherapy for primary central nervous system lymphoma with rituximab, methotrexate, cytarabine and dexamethasone: Retrospective analysis of 18 cases
    Spandidos Publications ; 2015
    In:  Molecular and Clinical Oncology Vol. 3, No. 4 ( 2015-07), p. 949-953
    Details
    In: Molecular and Clinical Oncology, Spandidos Publications, Vol. 3, No. 4 ( 2015-07), p. 949-953
    Type of Medium: Online Resource
    ISSN: 2049-9450 , 2049-9469
    URL: Article
    DOI: 10.3892/mco.2015.566
    Language: English
    Publisher: Spandidos Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2796865-0
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