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  1. 21761
    “…Overall, H3K4me3-enriched genes tended to be less tissue-specific than unenriched genes and were overrepresented for general cellular metabolism and development gene ontology terms. Relative expression of H3K4me3-enriched genes in developing secondary xylem was higher than unenriched genes, however, and highly expressed secondary cell wall-related genes were enriched for H3K4me3 as validated using ChIP-qPCR. …”
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    Genome-wide mapping of histone H3 lysine 4 trimethylation in Eucalyptus grandis developing xylem
  2. 21762
    por Smedley, Damian, Haider, Syed, Durinck, Steffen, Pandini, Luca, Provero, Paolo, Allen, James, Arnaiz, Olivier, Awedh, Mohammad Hamza, Baldock, Richard, Barbiera, Giulia, Bardou, Philippe, Beck, Tim, Blake, Andrew, Bonierbale, Merideth, Brookes, Anthony J., Bucci, Gabriele, Buetti, Iwan, Burge, Sarah, Cabau, Cédric, Carlson, Joseph W., Chelala, Claude, Chrysostomou, Charalambos, Cittaro, Davide, Collin, Olivier, Cordova, Raul, Cutts, Rosalind J., Dassi, Erik, Genova, Alex Di, Djari, Anis, Esposito, Anthony, Estrella, Heather, Eyras, Eduardo, Fernandez-Banet, Julio, Forbes, Simon, Free, Robert C., Fujisawa, Takatomo, Gadaleta, Emanuela, Garcia-Manteiga, Jose M., Goodstein, David, Gray, Kristian, Guerra-Assunção, José Afonso, Haggarty, Bernard, Han, Dong-Jin, Han, Byung Woo, Harris, Todd, Harshbarger, Jayson, Hastings, Robert K., Hayes, Richard D., Hoede, Claire, Hu, Shen, Hu, Zhi-Liang, Hutchins, Lucie, Kan, Zhengyan, Kawaji, Hideya, Keliet, Aminah, Kerhornou, Arnaud, Kim, Sunghoon, Kinsella, Rhoda, Klopp, Christophe, Kong, Lei, Lawson, Daniel, Lazarevic, Dejan, Lee, Ji-Hyun, Letellier, Thomas, Li, Chuan-Yun, Lio, Pietro, Liu, Chu-Jun, Luo, Jie, Maass, Alejandro, Mariette, Jerome, Maurel, Thomas, Merella, Stefania, Mohamed, Azza Mostafa, Moreews, Francois, Nabihoudine, Ibounyamine, Ndegwa, Nelson, Noirot, Céline, Perez-Llamas, Cristian, Primig, Michael, Quattrone, Alessandro, Quesneville, Hadi, Rambaldi, Davide, Reecy, James, Riba, Michela, Rosanoff, Steven, Saddiq, Amna Ali, Salas, Elisa, Sallou, Olivier, Shepherd, Rebecca, Simon, Reinhard, Sperling, Linda, Spooner, William, Staines, Daniel M., Steinbach, Delphine, Stone, Kevin, Stupka, Elia, Teague, Jon W., Dayem Ullah, Abu Z., Wang, Jun, Ware, Doreen, Wong-Erasmus, Marie, Youens-Clark, Ken, Zadissa, Amonida, Zhang, Shi-Jian, Kasprzyk, Arek
    Publicado 2015
    “…It includes over 800 different biological datasets spanning genomics, proteomics, model organisms, cancer data, ontology information and more. All resources available through the portal are independently administered and funded by their host organizations. …”
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    The BioMart community portal: an innovative alternative to large, centralized data repositories
  3. 21763
    “…Moreover, gene expression profile in prochloraz-resistant strain HS-F6 is quite different from that in HS-E3 before prochloraz-treatment, 1520 differential expression genes were identified between the two strains. Gene ontology (GO) term enrichment and KEGG enrichment were then performed to classify the differential expression genes. …”
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    Whole transcriptome analysis of Penicillium digitatum strains treatmented with prochloraz reveals their drug-resistant mechanisms
  4. 21764
    “…In all, 315 DEGs were found between the Chinese pig group and the introduced pig group, 240 of which were enriched with functional annotations from the David database and significantly enriched in 27 Gene Ontology (GO) terms that were mainly associated with muscle fiber contraction, cadmium ion binding, response to organic substance and contractile fiber part. …”
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    Identification of Genes Related to Growth and Lipid Deposition from Transcriptome Profiles of Pig Muscle Tissue
  5. 21765
    “…RESULTS: The NextGENe (V 2.3.4.) tool was used to identify the variants in MYH1 from JNP and Berkshire using RNA seq. Gene ontology analysis of MYH1 revealed significant association with muscle contraction and muscle organ development. …”
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    An integrated in silico approach for functional and structural impact of non- synonymous SNPs in the MYH1 gene in Jeju Native Pigs
  6. 21766
    “…Real-time PCR showed that glutathione S-transferase P1 (GSTP1) and SOD1 mRNA expression was significantly decreased in liver of HC goats, while cytochrom c oxidase (COX3) and ATPase 8 (ATP8) mRNAs expression were markedly increased compared to LC (P < 0.05). Gene Ontology (GO) analysis revealed that HC diet resulted in altered expression of proteins related to catalytic and mitochondrial metabolism in the liver, and may increase the stress response with up-regulating the expression of differentiation 14 (CD14) cluster and serum amyloid A (SAA) as well as C-reactive protein (CRP) in the liver. …”
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    Comparative proteomic analysis of the effects of high-concentrate diet on the hepatic metabolism and inflammatory response in lactating dairy goats
  7. 21767
    “…To investigate transcriptional differences between WUR genotypes in early host response to PRRSV infection, an RNA-seq experiment was performed on globin depleted whole blood RNA collected on 0, 4, 7, 10 and 14 days post-infection (dpi) from eight littermate pairs with one AB (favorable) and one AA (unfavorable) WUR genotype animal per litter. RESULTS: Gene Ontology (GO) enrichment analysis of transcripts that were differentially expressed (DE) between dpi across both genotypes revealed an inflammatory response for all dpi when compared to day 0. …”
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    Bioinformatic analyses in early host response to Porcine Reproductive and Respiratory Syndrome virus (PRRSV) reveals pathway differences between pigs with alternate genotypes for a major host response QTL
  8. 21768
    “…To create this classification, we used the diverse overviews installed in the MapMan toolkit. Gene Ontology (GO) assignment to FST genes supplemented the limitation of MapMan overviews. …”
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    Functional classification of rice flanking sequence tagged genes using MapMan terms and global understanding on metabolic and regulatory pathways affected by dxr mutant having defects in light response
  9. 21769
    “…Genes were analyzed for enriched Gene Ontology (GO) biological processes and protein-protein interactions using STRING and GeneMANIA. …”
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    Molecular characterization of Gleason patterns 3 and 4 prostate cancer using reverse Warburg effect-associated genes
  10. 21770
    “…In particular, WGCNA identified 30 different modules, some of which had highly enriched gene ontology (GO) categories for photosynthesis, phenylpropanoid metabolism, ABA and ethylene signaling. …”
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    Transcriptomic network analyses of leaf dehydration responses identify highly connected ABA and ethylene signaling hubs in three grapevine species differing in drought tolerance
  11. 21771
    “…Multiple profiling datasets were integrated to facilitate the identification of miRNA targets, as well as differentially expressed mRNAs and proteins. Through gene ontology (GO) analysis of differentially expressed mRNAs and proteins, biological processes that drive proliferation were identified, such as mRNA processing and translation. …”
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    Integrated analysis of mRNA, microRNA and protein in systemic lupus erythematosus-specific induced pluripotent stem cells from urine
  12. 21772
    “…These seven SPL genes belong to genes phylogeny clades VI, IV, VIII, V and VII, which have been reported to be targeted by miR156 in Arabidopsis thaliana. The gene ontology terms characterized electron transporter, starch synthase activity, sucrose transport, sucrose-phosphate synthase activity, chitin binding, sexual reproduction, flavonoid biosynthesis and lignin catabolism correlate well to the phenotypes of miR156OE alfalfa plants. …”
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    Comparative transcriptome investigation of global gene expression changes caused by miR156 overexpression in Medicago sativa
  13. 21773
    “…The blue module contained the top ranked genes in the concurrent differential methylation analysis (FXYD1/LGI4, gene significance p-value 1.2 × 10(-26); MAML1, p-value 2.0 × 10(-26); CD72, p-value 2.1 × 10(-25); and LPO, p-value 7.2 × 10(-25)), and was significantly associated with lung development processes in Gene Ontology gene-set enrichment analysis. CONCLUSION: We identified 12 differentially methylated CpG sites associated with COPD that mapped to biologically plausible genes. …”
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    Differential DNA methylation marks and gene comethylation of COPD in African-Americans with COPD exacerbations
  14. 21774
    “…More than 7500 salivary gland transcripts were detected from which a core group of 1214 differentially expressed genes (768 up- and 446 down-regulated) were shared between the two transcriptional comparisons. Gene Ontology enrichment analysis and detailed gene expression comparisons showed a diverse impact at the gene transcript level. …”
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    Tsetse fly tolerance to T. brucei infection: transcriptome analysis of trypanosome-associated changes in the tsetse fly salivary gland
  15. 21775
    “…There were ~3900–9200 differentially expressed genes (DEGs) in each contrast library, the number of up-regulated genes was similar with down-regulated genes in the mutant TW-1and TW-1-M. Gene ontology functional categories of DEGs indicated that the ethylene-mediated signaling pathway, the abscisic acid-mediated signaling pathway, response to hormone, ethylene biosynthetic process, ethylene metabolic process, regulation of hormone levels, and oxidation-reduction process, regulation of flavonoid biosynthetic process and regulation of abscisic acid-activated signaling pathway had high correlations with seed germination. …”
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    Whole genome-wide transcript profiling to identify differentially expressed genes associated with seed field emergence in two soybean low phytate mutants
  16. 21776
    “…RESULTS: A total of 516 commonly up-regulated and 1,261 commonly down-regulated genes were identified among XT/ZF, XT0.5/ZF0.5 and XT3/ZF3 using transcriptome analysis. Gene Ontology classification of the 516 up-regulated genes showed that their encoded proteins were significantly assigned to 18 cellular components, and were classified into 9 functional categories, and were involved in 9 biological processes. …”
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    Comparative transcriptome analysis reveals the transcriptional alterations in heat-resistant and heat-sensitive sweet maize (Zea mays L.) varieties under heat stress
  17. 21777
    “…RESULTS: A total of 321 and 368 differentially expressed miRNAs (DEM) were detected during pollen and embryo sac development in autotetraploid rice, respectively. Gene Ontology enrichment analysis on the targets of DEM associated with embryo sac and pollen development revealed 30 prominent functional gene classes, such as cell differentiation and signal transduction during embryo sac development, while only 7 prominent functional gene classes, such as flower development and transcription factor activity, were detected during pollen development in autotetraploid rice. …”
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    Analysis of small RNAs revealed differential expressions during pollen and embryo sac development in autotetraploid rice
  18. 21778
    “…Gene expression profiles of LEE011 treated HL-60 cells were investigated using an Arraystar Human LncRNA array. Gene ontology and KEGG pathway analysis were then used to analyze the differentially expressed genes from the cluster analysis. …”
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    Molecular mechanism of G(1) arrest and cellular senescence induced by LEE011, a novel CDK4/CDK6 inhibitor, in leukemia cells
  19. 21779
    “…To deepen our understanding of these DEGs, we performed two enrichment analyses: gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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    De novo Sequencing and Transcriptome Analysis Reveal Key Genes Regulating Steroid Metabolism in Leaves, Roots, Adventitious Roots and Calli of Periploca sepium Bunge
  20. 21780
    “…In the integrated transcriptome, ~90% and 63% of PTs had significant sequence similarity to sequences in the NCBI NT and NR databases, respectively; 68,754 (~52%) PTs were annotated with 15,965 unique gene ontology (GO) terms; and 7618 PTs annotated with Enzyme Commission codes were assigned to 134 pathways curated by the Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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    A high-quality annotated transcriptome of swine peripheral blood
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