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Showing 1,701 - 1,720 results of 3,884 for search '(( significant decrease decrease ) OR ( significant genes decrease ))~', query time: 0.30s Refine Results
  1. 1701
    DataSheet5_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip

    DataSheet5_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip by Jinxin Wang (1696837)

    Published 2025
    “…Differentially expressed genes analysis from RNA-Seq and Gene Co-expression Network Analysis (GCNA) showed that Syne1 and its co-expressed genes were upregulated in Trio<sup>fl/fl; Pcp2-Cre</sup> mice compared to controls. …”
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  2. 1702
    DataSheet1_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip

    DataSheet1_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip by Jinxin Wang (1696837)

    Published 2025
    “…Differentially expressed genes analysis from RNA-Seq and Gene Co-expression Network Analysis (GCNA) showed that Syne1 and its co-expressed genes were upregulated in Trio<sup>fl/fl; Pcp2-Cre</sup> mice compared to controls. …”
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  3. 1703
    DataSheet3_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip

    DataSheet3_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip by Jinxin Wang (1696837)

    Published 2025
    “…Differentially expressed genes analysis from RNA-Seq and Gene Co-expression Network Analysis (GCNA) showed that Syne1 and its co-expressed genes were upregulated in Trio<sup>fl/fl; Pcp2-Cre</sup> mice compared to controls. …”
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  4. 1704
    DataSheet2_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip

    DataSheet2_Deficiency of autism susceptibility gene Trio in cerebellar Purkinje cells leads to delayed motor impairments.zip by Jinxin Wang (1696837)

    Published 2025
    “…Differentially expressed genes analysis from RNA-Seq and Gene Co-expression Network Analysis (GCNA) showed that Syne1 and its co-expressed genes were upregulated in Trio<sup>fl/fl; Pcp2-Cre</sup> mice compared to controls. …”
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  5. 1705
    Data Sheet 1_New prognostic features and personalized treatment strategies of mitochondrial related genes in colorectal cancer patients.docx

    Data Sheet 1_New prognostic features and personalized treatment strategies of mitochondrial related genes in colorectal cancer patients.docx by Qizheng Xu (21077153)

    Published 2025
    “…Cellular assays were performed to validate the effectiveness of identified drugs. Key mitochondrial genes, including SUCLG2, ACACB, OSBPL1A, and TRAP1, have been identified as significant prognostic markers in CRC. …”
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  6. 1706
    Table2_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.xlsx

    Table2_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.xlsx by Vineeta Pandey (10043698)

    Published 2024
    “…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”
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  7. 1707
    Table1_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.docx

    Table1_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.docx by Vineeta Pandey (10043698)

    Published 2024
    “…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”
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  8. 1708
    Image2_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg

    Image2_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg by Vineeta Pandey (10043698)

    Published 2024
    “…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”
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  9. 1709
    Image1_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg

    Image1_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg by Vineeta Pandey (10043698)

    Published 2024
    “…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”
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  10. 1710
    Image3_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg

    Image3_Predicting candidate miRNAs for targeting begomovirus to induce sequence-specific gene silencing in chilli plants.jpeg by Vineeta Pandey (10043698)

    Published 2024
    “…Chilli cultivars infected with begomovirus have suffered significant decreases in biomass output, negatively impacting their economic characteristics. …”
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  11. 1711
    PARP9 knockdown promotes apoptosis and DNA damage.

    PARP9 knockdown promotes apoptosis and DNA damage. by Yating Li (1819822)

    Published 2024
    “…<p>(A) Gene Set Enrichment Analysis (GSEA) was conducted to identify the major enriched pathways of differentially expressed genes following PARP9 downregulation. …”
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  12. 1712
    Data Sheet 2_Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy.zip

    Data Sheet 2_Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy.zip by Han-han He (20594477)

    Published 2025
    “…The immune infiltration analysis showed that there was a significantly increased abundance of macrophages and a decreased abundance of CD4 and CD8 T cells, including Tr1, nTreg, Tfh, CD8 naïve, cytotoxic T cells and effector memory T cells in the epilepsy group. …”
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  13. 1713
    Data Sheet 1_Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy.zip

    Data Sheet 1_Identification and verification of autophagy-related gene signatures and their association with immune infiltration and drug responsiveness in epilepsy.zip by Han-han He (20594477)

    Published 2025
    “…The immune infiltration analysis showed that there was a significantly increased abundance of macrophages and a decreased abundance of CD4 and CD8 T cells, including Tr1, nTreg, Tfh, CD8 naïve, cytotoxic T cells and effector memory T cells in the epilepsy group. …”
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  14. 1714
    Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx

    Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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  15. 1715
    Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx

    Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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  16. 1716
    Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx

    Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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  17. 1717
    Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx

    Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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  18. 1718
    Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx

    Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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  19. 1719
    Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif

    Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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  20. 1720
    Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx

    Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Results<p>IVW analysis revealed significant associations between 10 hub genes and the risk of PCOS: CD93 [P= 0.004; OR 95%CI= 1.150 (1.046, 1.264)], CYBB [P= 0.013; OR 95%CI= 1.650 (1.113,2.447)], DOCK8 [P= 0.048; OR 95%CI= 1.223 (1.002,1.494)], IRF1 [P= 0.036; OR 95%CI= 1.343 (1.020,1.769)], MBOAT1 [P= 0.033; OR 95%CI= 1.140 (1.011,1.285)], MYO1F [P= 0.012; OR 95%CI= 1.325 (1.065,1.649)], NLRP1 [P= 0.020; OR 95%CI= 1.143 (1.021,1.280)], NOD2 [P= 0.002; OR 95%CI= 1.139 (1.049,1.237)], PIK3R1 [P= 0.040; OR 95%CI= 1.241 (1.010,1.526)], PTER [P= 0.015; OR 95%CI= 0.923 (0.866,0.984)]. …”
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