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Mostrando 101 - 120 Resultados de 126 Para Buscar '"Spock"', tiempo de consulta: 0.16s Limitar resultados
  1. 101
    “…Single-gene aberrations involving the AGBL4 (exon 2), ASMT (exon 9), CYP2C18 (whole gene), DDX10 (promoter, exons 1-13), GYPA (whole gene), LIG4 (exon 1), LSAMP (intron 1), PSD3 (promoter, exons 1-11), SNTB1 (intron 1), SPOCK3 (exons 6-12), STAG2 (exons 7-34), SYT10 (promoter, exons 1-2), TCAF2 (exon 8), TMPRSS15 (promoter, exons 1-12), and ZDHHC7 (promoter, exons 1-4) genes were described by us for the first time. …”
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    Identification of candidate genes of intellectual disability by single-gene deletions/amplifications mapping using chromosomal microarray analysis
  2. 102
    “…The most significant DEGs include CD36, FOXC2, CHAD, SPP1, MMPs, IBSP, and PTX3, which are more highly expressed in BM, and ACTG2, MYH11, CNN1, FGF2, SPOCK3, and CHRDL1, which have a lower expression. …”
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    The Gene Expression Landscape of Prostate Cancer BM Reveals Close Interaction with the Bone Microenvironment
  3. 103
    “…Differential expression of nine genes implicated in lens development and homeostasis: Cspg2, Igfbp5, Mab21l2, Nrf2f, Olfm3, Spag5, Spock1, Spon1 and Tgfb2, was confirmed by quantitative RT-PCR, with five of these genes: Cspg2, Mab21l2, Olfm3, Spag5 and Tgfb2, identified as candidate direct Pax6 target genes by quantitative chromatin immunoprecipitation (qChIP). …”
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    Identification of Pax6-Dependent Gene Regulatory Networks in the Mouse Lens
  4. 104
    “…Among a number of identified genes with well-documented inflammatory roles we also validated genes that might be of great interest to the understanding of AS progression such as SPOCK2 (osteonectin) and EP300, which modulate cartilage and bone metabolism. …”
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    Whole blood transcriptional profiling in ankylosing spondylitis identifies novel candidate genes that might contribute to the inflammatory and tissue-destructive disease aspects
  5. 105
    “…The results of the present study are important basic information for understanding protein structural architectures and have been made publicly available at http://spock.genes.nig.ac.jp/~genome/DICHOT.…”
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    Binary classification of protein molecules into intrinsically disordered and ordered segments
  6. 106
    “…Disease-specific analyses revealed lower group levels of FGF-5, FGF-19 and SPOCK1 in multiple system atrophy compared with progressive supranuclear palsy and corticobasal syndrome. …”
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    Proximity extension assay testing reveals novel diagnostic biomarkers of atypical parkinsonian syndromes
  7. 107
    “…Profiling of the methylome (5mC/5hmC/5fC/5caC) at base resolution identified 5 signature genes (COL2A1, CAPN3, COL14A1, STAT5A, SPOCK3) that exhibit perturbed expression, specifically in the FUS and display altered DNA methylome profiles that are common across AD-associated brain regions. …”
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    The fusiform gyrus exhibits an epigenetic signature for Alzheimer’s disease
  8. 108
    “…RESULTS: Some new tumor-specific markers for different pathologic types of RCC, such as SPOCK1, PTGIS, REG1A, CP and SPAG4 were identified and validated. …”
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    Single-Cell RNA Sequencing in Multiple Pathologic Types of Renal Cell Carcinoma Revealed Novel Potential Tumor-Specific Markers
  9. 109
    “…The gene expression analysis showed differential expression for the PTGFR (-2.97-fold) and GPR56 (3.0-fold) genes in the HbSS group, and for the SPOCK1 (-2.40-fold) and ADCY4 (1.80-fold) genes in the HbSC group. …”
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    Epigenetic analysis in placentas from sickle cell disease patients reveals a hypermethylation profile
  10. 110
    “…Aberrant YTHDF2 upregulation markedly hampers expression of multiple m(6)A-marked tumor-suppressing transcripts, including CDKN2B and SPOCK2, and induces oncogenic reprogramming. Mutant p53 neoplastic behaviors are significantly impaired by genetic depletion of YTHDF2 or by pharmacological inhibition using MLL1 complex inhibitors. …”
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    Rewired m(6)A epitranscriptomic networks link mutant p53 to neoplastic transformation
  11. 111
    “…Results: Eight genes (CCNB1, PLEK2, DERL3, C1QTNF6, DLGAP5, HMMR, GJB3, and SPOCK1) were eventually selected to develop an eight-gene signature. …”
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    Identification of epithelial-mesenchymal transition-related biomarkers in lung adenocarcinoma using bioinformatics and lab experiments
  12. 112
    “…Expression changes in EPB41L3 and EPB41L4B closely paralleled those previously observed for the extracellular matrix genes FBLN1 and SPOCK1, respectively. CONCLUSIONS: Specific changes in the cortical cytoskeleton were observed during prostate cancer progression. …”
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    Changes in cortical cytoskeletal and extracellular matrix gene expression in prostate cancer are related to oncogenic ERG deregulation
  13. 113
    “…A number of transcriptional modules were identified that centred around key hub genes specifying matrix-associated signaling factors; SPOCK1, HTRA3 and ADGRD1. Several novel regulators of the WNT and TFG-β signaling pathway were identified in Müllerian ducts, including APCDD1 and DKK1, BMP3 and TGFBI. …”
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    Transcriptional landscape of the embryonic chicken Müllerian duct
  14. 114
    “…RESULTS: While the 18-gene signature as a whole did not have any prognostic power, a subset of three RNAs: Col13a1, Spock2, and Sfrp1, together completely separated CMTs with and without LN metastasis in the microarray set. …”
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    SFRP1 Expression is Inversely Associated With Metastasis Formation in Canine Mammary Tumours
  15. 115
    “…Afterward, plasma proteomics data from 2,925 plasma proteins across 4,263 young adults to nonagenarians (18–95 years old) were combined with the outcomes from snRNA-seq data to obtain 12 differential genes/proteins (GPC5, CA10, DGKB, ST6GALNAC5, DSCAM, IL1RAPL2, TMEM132C, VCAN, APOE, PYH1R, CNTN2, SPOCK3). Finally, we verified the 12 differential genes by ELISA and found that the expression trends of five biomarkers (DSCAM, CNTN2, IL1RAPL2, CA10, GPC5) were correlated with brain aging. …”
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    Integrated analysis of plasma proteome and cortex single-cell transcriptome reveals the novel biomarkers during cortical aging
  16. 116
    “…Integrating the results of CNVRs, known quantitative trait loci (QTL) and selective sweeps for abdominal fat content suggested that some genes (including SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. …”
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    Detection of genome-wide copy number variations in two chicken lines divergently selected for abdominal fat content
  17. 117
    “…Among the 20 genes constituting the forebrain endothelial cell-specific response signature, 8 (Adamtsl2, Apod, Ctsw, Htra3, Pglyrp1, Spock2, Ttyh2, and Wfdc1) encoded bona fide ECM proteins. …”
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    Disruption of the Extracellular Matrix Progressively Impairs Central Nervous System Vascular Maturation Downstream of β-Catenin Signaling
  18. 118
    “…Among the proteins most clearly discriminating between current and never smokers were sRAGE, FSTL3, SPOCK2 and protein S, all of them being less abundant in current smokers. …”
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    Smoking induces sex-specific changes in the small airway proteome
  19. 119
    “…Results: The 4-gene (COL8A1, SPOCK1, AEBP1, and TIMP2) prognostic CAF model was constructed. …”
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    Weighted Gene Co-expression Network Analysis Identifies a Cancer-Associated Fibroblast Signature for Predicting Prognosis and Therapeutic Responses in Gastric Cancer
  20. 120
    “…In addition, 9 proteoglycans showed dynamic expression changes between these two tissue compartments. Gpc4, Sdc2, Spock2, Dcn and Lum were expressed at higher levels in the dental epithelium at E11.5, whereas their expression was significantly higher in the dental mesenchyme at E13.5, which coincides with the odontogenic potential shift. …”
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    Genome-wide identification of potential odontogenic genes involved in the dental epithelium-mesenchymal interaction during early odontogenesis
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