Skip to main content
. 2021 Jul 21;9:697947. doi: 10.3389/fcell.2021.697947

TABLE 3.

Top Gene Ontology (GO) pathways of predicted target genes regulated by miRNAs showing gestational dynamics.

Gene Ontology
Pathway genes Target genes in enrichment querya
Enrichment
Term Name % n % P-valueb
Target genes for miRNAs significantly UPregulated in transition from first to second trimesterc
GO:0005515 Protein binding 11.5% 991 90.9% 7.5 × 10–76
GO:0048522 Positive regulation of cellular process 19.9% 728 66.8% 4.0 × 10–160
GO:0005829 Cytosol 12.7% 525 48.2% 1.5 × 10–25
GO:0003730 mRNA 3′-UTR binding 32.7% 18 1.7% 9.9 × 10–4
GO:0051881 Regulation of mitochondrial membrane potential 28.3% 17 1.6% 2.0 × 10–2
GO:0010494 Cytoplasmic stress granule 33.3% 15 1.4% 7.2 × 10–3
GO:0030212 Hyaluronan metabolic process 48.1% 13 1.2% 2.2 × 10–4
GO:0061980 Regulatory RNA binding 41.9% 13 1.2% 1.6 × 10–3
GO:0010586 miRNA metabolic process 40.7% 11 1.0% 1.7 × 10–2
GO:0030020 Extracellular matrix structural constituent conferring tensile strength 43.5% 10 0.9% 2.2 × 10–2
Target genes for miRNAs significantly DOWNregulated in transition from first to second trimesterc
GO:0031974 Membrane-enclosed lumen 8.0% 353 54.4% 9.7 × 10–23
GO:0070887 Cellular response to chemical stimulus 15.6% 343 52.9% 7.1 × 10–97
GO:0072659 Protein localization to plasma membrane 13.1% 26 4.0% 2.6 × 10–2
GO:0019867 Outer membrane 13.5% 24 3.7% 3.6 × 10–2
GO:0051480 Regulation of cytosolic calcium ion concentration 13.9% 23 3.5% 3.4 × 10–2
GO:0051924 Regulation of calcium ion transport 15.6% 22 3.4% 7.5 × 10–3
GO:0008361 Regulation of cell size 16.5% 21 3.2% 4.8 × 10–3
GO:0016605 PML body 22.6% 19 2.9% 9.1 × 10–5
GO:0035296 Regulation of tube diameter 19.0% 15 2.3% 2.6 × 10–2
GO:0006305 DNA alkylation 24.4% 11 1.7% 3.3 × 10–2
Target genes for miRNAs significantly UPregulated in transition from second trimester to termc
GO:0005515 Protein binding 10.6% 909 90.1% 7.1 × 10–64
GO:0048518 Positive regulation of biological process 17.0% 694 68.8% 1.1 × 10–133
GO:0005829 Cytosol 11.8% 488 48.4% 5.8 × 10–24
GO:0046914 Transition metal ion binding 14.5% 109 10.8% 7.8 × 10–7
GO:2000060 Positive regulation of ubiquitin-dependent protein catabolic process 22.7% 20 2.0% 4.0 × 10–2
GO:0000045 Autophagosome assembly 23.2% 19 1.9% 4.8 × 10–2
GO:0010494 Cytoplasmic stress granule 31.1% 14 1.4% 1.7 × 10–2
GO:0030020 Extracellular matrix structural constituent conferring tensile strength 43.5% 10 1.0% 1.2 × 10–2
GO:1902751 Positive regulation of cell cycle G2/M phase transition 43.5% 10 1.0% 1.2 × 10–2
GO:0070242 Thymocyte apoptotic process 52.9% 9 0.9% 4.6 × 10–3
Target genes for miRNAs significantly DOWNregulated in transition from second trimester to termc
GO:0005515 Protein binding 8.0% 684 91.3% 1.9 × 10–52
GO:0048518 Positive regulation of biological process 13.2% 537 71.7% 3.1 × 10–113
GO:0043233 Organelle lumen 9.0% 395 52.7% 3.5 × 10–22
GO:0019898 Extrinsic component of membrane 14.5% 29 3.9% 2.1 × 10–2
GO:0007204 Positive regulation of cytosolic calcium ion concentration 16.1% 25 3.3% 1.4 × 10–2
GO:0003730 mRNA 3′-UTR binding 25.5% 14 1.9% 8.4 × 10–3
GO:0036092 Phosphatidylinositol-3-phosphate biosynthetic process 39.4% 13 1.7% 6.1 × 10–5
GO:0030301 Cholesterol transport 25.0% 13 1.7% 2.4 × 10–2
GO:0061980 Regulatory RNA binding 38.7% 12 1.6% 2.7 × 10–4
GO:0045987 Positive regulation of smooth muscle contraction 42.1% 8 1.1% 2.0 × 10–2

aTop 10 pathways per each gene list analysis are shown, sorted by the highest percentage of representation among the query genes. Full results of in silico functional enrichment analyses of gene lists are in Supplementary Tables 12, 13. bP-value corrected for multiple testing by g: SCS method (Reimand et al., 2007). cQuery lists of miRNA target gene were extracted from the miRTarBase database (Huang et al., 2020).