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  1. 21121
    “…We further characterized the biological processes of the target genes by gene ontology annotation. Our results suggest that CEBPD-inducible genes with roles in the inhibition of apoptosis are downregulated and that BCL3-repressible genes are involved in the regulation of cellular metabolism in ICM. …”
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    Gene expression network analysis reveals new transcriptional regulators as novel factors in human ischemic cardiomyopathy
  2. 21122
    “…Bioinformatics was performed on Gene Ontology (GO), gene-gene interaction networks, and pathway analysis. …”
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    CD4 T-cell transcriptome analysis reveals aberrant regulation of STAT3 and Wnt signaling pathways in rheumatoid arthritis: evidence from a case–control study
  3. 21123
    “…RESULTS: Pathway and Gene ontology analysis applied to baseline expression profiles of peripheral blood cells from MetS and T2DM patients revealed metabolic changes, highly similar to a reoviral infection gene signature in T2DM patients. …”
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    Metabolic changes in type 2 diabetes are reflected in peripheral blood cells, revealing aberrant cytotoxicity, a viral signature, and hypoxia inducible factor activity
  4. 21124
    “…The most enriched gene ontology terms were those involved in nucleosome assembly. …”
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    Molecular Mechanism of the Cell Death Induced by the Histone Deacetylase Pan Inhibitor LBH589 (Panobinostat) in Wilms Tumor Cells
  5. 21125
    “…We also identified 12 intramodular hub genes from each of the five modules and 18 enriched gene ontology (GO) terms and MapMan sub-bines, including two GO terms (GO:0015979 and GO:0009765) and two MapMap sub-bins (1.3.4 and 1.1.1.1) related to photosynthesis in module Turquoise. …”
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    Uncovering co-expression gene network modules regulating fruit acidity in diverse apples
  6. 21126
    “…The target unigenes were annotated with information from the non-redundant (Nr), gene ontology database (GO), eukaryotic orthologous groups (KOGs) and Kyoto encyclopedia of genes and genomes (KEGG) database. …”
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    Characterization and comparative profiling of the small RNA transcriptomes in two phases of flowering in Cymbidium ensifolium
  7. 21127
    “…Gene targets for prognostic miRNAs were identified using in silico predictions and in-house BC transcriptome dataset. Gene ontology terms were identified using DAVID bioinformatics v6.7. …”
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    Next generation sequencing profiling identifies miR-574-3p and miR-660-5p as potential novel prognostic markers for breast cancer
  8. 21128
    “…Within these regions, B.napus orthologs for a number of candidate adaptation genes were detected, including central circadian clock components like CIRCADIAN CLOCK- ASSOCIATED 1 (Bna.CCA1) and the important flowering-time regulators FLOWERING LOCUS T (Bna.FT) and FRUITFUL (Bna.FUL). DISCUSSION: Gene ontology (GO) enrichment analysis of candidate regions suggested that selection of genes involved in post-transcriptional and epigenetic regulation of flowering time may play a potential role in adaptation of B. napus to highly divergent environments. …”
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    Diverse regulatory factors associate with flowering time and yield responses in winter-type Brassica napus
  9. 21129
    “…RESULTS AND DISCUSSION: Out of 793 isolated cDNA clones, 183 were classified into 152 contigs. 89 cDNA clones and encoded proteins were functionally annotated and assigned to 5 Gene Ontology categories: catalytic activity 48 clones (54 %), binding 32 clones (36 %), transporter activity 6 clones (7 %), structural molecule activity 2 clones (2 %) and molecular transducer activity 1 clone (1 %). …”
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    Pathogen-regulated genes in wheat isogenic lines differing in resistance to brown rust Puccinia triticina
  10. 21130
    “…Target genes for differentially expressed known and novel miRNAs were predicted and functionally annotated. Gene Ontology (GO) analysis showed that high-ranking miRNA target genes were involved in metabolic processes, responses to stress, and signaling, indicating that these high temperature-responsive miRNAs have functions in diverse gene regulatory networks. …”
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    Identification and characterization of microRNAs from in vitro-grown pear shoots infected with Apple stem grooving virus in response to high temperature using small RNA sequencing
  11. 21131
    “…Phosphine-resistant insects also displayed differential expression of cuticle, carbohydrate, protease, transporter, and many mitochondrial genes, among others. Gene ontology terms associated with mitochondrial functions (oxidation biological processes, monooxygenase and catalytic molecular functions, and iron, heme, and tetrapyyrole binding) were enriched in the significantly differentially expressed dataset. …”
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    Genes related to mitochondrial functions are differentially expressed in phosphine-resistant and -susceptible Tribolium castaneum
  12. 21132
    “…RESULTS: The microarray experiment identified 147 significantly up-regulated and 156 significantly down-regulated features in RA-Zoo compared with both RA and RA-PH. Gene ontology terms overrepresented in the RA-Zoo responsive gene set included “response to selenium ion” and several related to cell division and oxidation-reduction. …”
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    Transcriptome profiling reveals that feeding wild zooplankton to larval Atlantic cod (Gadus morhua) influences suites of genes involved in oxidation-reduction, mitosis, and selenium homeostasis
  13. 21133
    “…We performed further analysis of these unigenes using the Clusters of Orthologous Groups of proteins (COG), Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) databases. …”
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    De novo transcriptome sequencing and analysis of Coccinella septempunctata L. in non-diapause, diapause and diapause-terminated states to identify diapause-associated genes
  14. 21134
    “…Molecular evolution of global DE genes was rapid, unlike that of changed-tissues DE genes. Based on gene ontology, global and changed-tissues DE genes were different, having no common GO terms. …”
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    Global expression differences and tissue specific expression differences in rice evolution result in two contrasting types of differentially expressed genes
  15. 21135
    “…The overall de novo assembly of cDNA sequence data generated 205592 transcripts, with an average length of 998 bp. 114229 unigenes (55.56 % of all transcripts) with an average length of 680 bp were annotated with gene descriptions, gene ontology terms or metabolic pathways based on Blastx search against Nr, Nt, Swissprot, GO, COG/KOG, and KEGG databases. …”
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    De novo comparative transcriptome analysis provides new insights into sucrose induced somatic embryogenesis in camphor tree (Cinnamomum camphora L.)
  16. 21136
    “…Accordingly, an extensive evaluation of the proteomic changes associated with NAI-107 production was performed on Microbispora ATCC-PTA-5024 by combining two-dimensional difference in gel electrophoresis, mass spectrometry and gene ontology approaches. RESULTS: Microbispora ATCC-PTA-5024 cultivations in a complex medium were characterized by stages of biomass accumulation (A) followed by biomass yield decline (D). …”
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    Elucidating the molecular physiology of lantibiotic NAI-107 production in Microbispora ATCC-PTA-5024
  17. 21137
    “…RESULTS: The RNA-Seq data analysis indicated that IBA treatment greatly increased the amount of clean reads and the amount of expressed unigenes by 24.29 % and 27.42 % and by 4.3 % and 5.04 % at two time points, respectively, and significantly increased the numbers of unigenes numbered with RPKM = 10-100 and RPKM = 500-1000 by 13.04 % and 3.12 % and by 24.66 % and 108.2 % at two time points, respectively. Gene Ontology (GO) enrichment analysis indicated that the enrichment of down-regulated GOs was 2.87-fold higher than that of up-regulated GOs at stage 1, suggesting that IBA significantly down-regulated gene expression at 6 h. …”
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    Transcriptomic analysis reveals the gene expression profile that specifically responds to IBA during adventitious rooting in mung bean seedlings
  18. 21138
    por Taha, Kamal, Yoo, Paul D.
    Publicado 2016
    “…Available at: http://www.yeastgenome.org/download-data/curation) with the functions of Gene Ontology terms is available at: (see Appendix for more details about the demo)http://ecesrvr.kustar.ac.ae:8080/PPFBM/.…”
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    Predicting the functions of a protein from its ability to associate with other molecules
  19. 21139
    “…The potential candidate target genes of the miRNAs were predicted using published target prediction softwares (RNAhybrid, TargetScan, Miranda, PITA), and the overlay part was analyzed in Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological process. …”
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    Integrated analysis of microRNA regulatory network in nasopharyngeal carcinoma with deep sequencing
  20. 21140
    “…Functional analysis was performed using Gene Ontology (GO) Immune System Process terms specific for Gallus gallus. …”
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    RNA sequencing-based analysis of the spleen transcriptome following infectious bronchitis virus infection of chickens selected for different mannose-binding lectin serum concentrations
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