Search alternatives:
significant based » significant cause (Expand Search), significant barrier (Expand Search), significant burden (Expand Search)
significant genes » significant gender (Expand Search), significant benefits (Expand Search), significant changes (Expand Search)
genes decrease » sizes decrease (Expand Search), teer decrease (Expand Search), greatest decrease (Expand Search)
basis » basic (Expand Search)
significant based » significant cause (Expand Search), significant barrier (Expand Search), significant burden (Expand Search)
significant genes » significant gender (Expand Search), significant benefits (Expand Search), significant changes (Expand Search)
genes decrease » sizes decrease (Expand Search), teer decrease (Expand Search), greatest decrease (Expand Search)
basis » basic (Expand Search)
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Significant differentially expressed genes in LCLs-WT compared with LCLs-dBNRF1 in RNA-seq analyses.
Published 2024Subjects: -
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The miRNA target genes.
Published 2025“…</p><p>Results</p><p>1) Hemodynamic tests revealed that the blood pressure of SHRs in the BFRT decreased significantly and that the blood pressure level of SHRs in the BFRT decreased more significantly than that of the simple resistance training groups did (P < 0.05). 2) Cardiac function tests revealed that the EF, FS, and MV E/A of SHRs in the BFRT significantly increased, whereas the HR, IVSd, IVSs, LVIDd, LIVDs, LVPWd, LVPWs and LV mass significantly decreased (P < 0.05). 3) Transcriptome sequencing revealed 9 differentially expressed miRNAs in the BFRT group compared with the SHR-SED group (2 miRNAs were significantly upregulated, and 7 miRNAs were significantly downregulated), with P < 0.05 and |log2FoldChange| ≥ 1 used as the criteria for differential significance. …”
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Sex differences in the molecular basis of multiple sclerosis: meta-analysis of transcriptomic data
Published 2022“…Our meta-analyses identified some genes and functions altered on a sex-specific or between-sex basis. Among them, highlight 15 genes that showed a significantly different expression pattern between sexes in some of the tissues analyzed: (KIR2DL3 in blood; ARL17B, CECR7, CEP78, IFFO2, LOC401127, NUDT18, RNF10, SLC17A5, STEMP1, TRAF3IP2-AS1, UBXN2B, ZNF117, ZNF488 in nervous tissue; LOC 102723701 in both tissues).…”
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