Tìm thấy 20+ kết quả cho từ khóa "Target genes"
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The primers used to amplify two lncRNAs and three trans-target genes were designed using Primer3 online software (https://www.ncbi.nlm.nih.gov/. DE-lncRNAs and their cis-target genes.. DE-lncRNA and their trans-target genes.. GO terms, biological processes, cellular components and molecular function of cis-target genes.. GO terms, biological processes, cellular components and molecular function of trans-target genes.. KEGG of cis-target genes.. KEGG of trans-target genes..
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To study the functions of the differentially expressed estrogen-responsive genes, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. To assess the possible participation of miRNAs in lipid metabolism, the potential target genes of the 10 estrogen- responsive miRNAs were predicted by means of miRDB, TargetScan, and PicTar. A network of the differential expressed miRNAs and predicted target genes was constructed using Cytoscape (Fig.
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Custom selected reference genes. outperform pre-defined reference genes in transcriptomic analysis. The use of internal control genes or spike-ins is advocated in the literature for scaling read counts, but the methods for choosing reference genes are mostly targeted at RT-qPCR studies and require a set of pre-selected candidate controls or pre-selected target genes..
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Besides, 4 genes outside of the initial 1325 were considered, including SDHA and YWHAZ as they had previously been proposed by other researchers [17], and ACTB and GAPDH genes were in- cluded as the most commonly used endogenous HKGs for exploring target gene expression in goats. In total, 12 candidate HKGs were analyzed in subsequent steps.. Amplification specificity and efficiency of the candidate HKGs and target genes.
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To identify target genes regulated by miR-124-3p, we performed quantitative RT-PCR analyses for the. predicted target genes in MELM cells after treatment with the miR-124-3p mimic and observed that expres- sion of Bmpr1a, Cdc42, Ift88, Pbx3 and Tgfbr1 was sig- nificantly downregulated (Fig.
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(c) Number of DMCs in the TC, TT, SC, and ST samples. 4 DMC types and locations in the DMRs of the target genes. Type I DMCs (in red) were methylated by HNTs in the heat- tolerant rice strain XN0437T, but the corresponding cytosine in the heat-sensitive rice strain XN0437S was either unchanged or demethylated after HNT. Red, blue, and green dashed-line boxes indicate respectively the type I, II, and III DMRs in the target genes.
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Summary of the differentially expressed genes in the two groups. down-regulated genes were identified in the healthy and mastitic groups.. Summary of differentially methylated and expressed genes in the RRBS and RNA-seq sequencing. Regulatory network of differentially methylated miRNAs (yellow circles) in the RRBS sequencing and their putative target genes (blue circles) in the RNA-seq.
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Seven circles from the outside to the inside show the chromosomal distribution of pre-miRNAs, miRNA target genes in anther, miRNA target genes in leaf, miRNA target genes in petal, miRNA target genes in petiole, miRNA target in unpollinated carpel and miRNA target gene in pollinated carpel, respectively. from the same genes. We found that only 1979 out of 4086 miRNA target genes were an- notated by GO categories (Additional file 2: Table S5;. Additional file 1: Fig.
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Regulation network among most significant SNP, miRNA and miRNA target genes. Regulation network of miR156k- 5p and its target genes based on the most significant SNP. Regulation network of miR159a-3p and its target genes based on the most signifi- cant SNP. Regulation network of miR390a-5p and its target genes based on the most significant SNP. Regulation network of miR396e-5p and its target genes based on the most significant SNP.. miR-eQTL: miRNA expression-related quantitative traits loci.
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Salinity stress-induced differentially expressed miRNAs and target genes in sea cucumbers Apostichopus japonicus
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In addition, in the pathway en- richment analysis of the DE-lncRNA trans-target genes,. 9 The lncRNA-miRNA-mRNA ceRNA networks of muscle development-related GO terms. (a) Cis-target genes of the W14 vs. (b) Cis-target genes of the W22 vs.. (c) Cis-target genes of the W30 vs. (D) Trans-target genes of the W30 vs. it was found that there was a common pathway in the W22 vs. We speculate that the DE-lncRNAs in the W22 vs..
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The Janus kinase-signal transducers and activators of transcription (Jak-STAT) pathway involves signaling cas- cades that transmit extracellular signals to target genes in the nucleus. Table S5), corroborating the involvement of this path- way in resistance and supporting our finding of WNT7A as TopDEG in the intergroup comparisons. IL22 , produced mainly by immune CD4 + T cells, acts upon many different tissue cells, with a key role in the skin, digestive, and respiratory tracts.
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Thus, the larger the ordinate, the more reliable the significance of the enrichment of the differentially expressed miRNA target gene in this pathway. c KEGG classification map of the target genes of the differentialy expressed miRNAs.. 4 Verification of the differentially expressed miRNAs and their target genes by qRT-PCR. b Verification of the target genes target genes in tomato.
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The effect of the pathway is finally mani- fested by alterations in the expression of JAK-STAT pathway target genes, providing a direct mechanism to translate an extracellular signal into a transcriptional re- sponse [29].
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The BCC of enhancers being close to 1 suggested that enhancers form clusters to interact with the target genes. The BCC of enhancers was not 1 sometimes, which implied that when a group of enhancers interacts with a set of target genes, the majority of target genes interact with each enhancer in this group while the rest interact with only a subset of enhancers in this group. The percentage of the par- tially shared target genes by a group of enhancers varied from 0% to 6.57%.
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As the expression level of the OsDREB1A target genes was not so high in the 35S:OsDREB1A plants, only six genes were identified by cDNA microarray analysis. The level of stress tolerance and growth retardation in the 35S:OsDREB1A plants was relatively lower than that in the 35S:DREB1A plants. This may be due to the difference in the number of the target stress- inducible genes between the3 5S:OsDREB1A.
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The number statistics of target genes of 387 DELs that were specific to PM-resistant melon. Experimental validation of the expression patterns of lncRNAs and their target genes. Relative expression level of lncRNAs and target genes was normalized to that in mock. For example, six lncRNAs and seven lncRNAs were targeted by miR156 and miR7129, respectively. LNC_009456 MELO3C024725 Disease resistance protein Co-expressed. LNC_006883 MELO3C012016 MLP-like protein Co-expressed.
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In the MEviolet module, the 25 known target genes for 15 hub lncRNAs were found to be involved in multiple func- tions (Fig. In the MElightyellow module, 16 hub lncRNAs were generated and their 22 known target genes were involved in many functions (Fig. In the MEbrown2 module, 24 hub lncRNAs and their 15 known target genes were generated (Fig. In the MEwhite module, 23 hub lncRNAs were gener- ated and their 38 known target genes were involved in many functions (Fig.
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Based on the GO analyses of the differentially expressed lncRNA target genes, the most enriched BPs were cellular processes, biological regulation, and single-organism processes. GO enrichment analysis was performed for the antisense, cis, and trans roles of the target genes of the lncRNA, showing that target genes were also mainly enriched in cellular pro- cesses, cells, and binding (Additional file 10: Figure S1).
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Each of the 48 modules is a regulatory program com- posed of various regulators, target genes and the expres- sion profiles of target genes as a function of the expression level of the regulators. 1 Overview of the module networks predicted for Fusarium graminearum. The columns in the heatmap represent F. graminearum genes, and the rows represent the experimental conditions in the gene expression data.. Distribution of the number of target genes represented in a histogram.