Radiation enhances melanoma response to immunotherapeutic and synergizes with benzodiazepines to promote improved anti-tumor activity
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE131521 | GEO | 2019/05/21
REPOSITORIES: GEO
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Project description:Introduction: The aim of this pilot study is to establish a radiogenomic characterisation of a clear-cell renal cell carcinoma (ccRCC) subpopulation, focusing on the transcriptomic underpinnings of radiomic features. Materials & Methods: To establish the viability of conducting a combined analysis of both radiomic and genomic data, a pilot cohort of 6 patients with <5cm G2 unilateral non-metastatic T1a-b ccRCC, who underwent surgery, was evaluated. Transcriptomic analysis was conducted through RNA-seq on tumor samples, while radiomic data was extracted from pre-operative 4 phase contrast-enhanced multidetector CT scans. Genomic heterogeneity was assessed with principal component analysis run on unrestricted data, on a clear-cell renal cell carcinoma associated gene list with zero-centered Reads Per Kilobase of transcript, per million mapped reads values. The underlying pathways and gene ontologies were established with enrichment analysis. In addition, Pearson’s correlation between radiomic data and the transcription of significant genes was fitted, and dendrogram and heatmap plots were drawn. Results: Even in a clinically homogeneous population, the employed analyses have demonstrated that RCC should be regarded as an intrinsically heterogeneous disease. The analysis of the radiomic features and gene expression correlation using heatmap and dendrogram showed four distinct radiogenomic correlation patterns: with one including 5 radiomic features, and the other three including 2 features each. Conclusion: The current pilot study is the first investigation demonstrating an innovative radiogenomic characterisation of clear-cell RCC. Based on such observations, further investigation into the radiomic and genomic approaches for the enhanced diagnosis of RCC is warranted.
2019-06-28 | GSE133460 | GEO
Project description:A time series of whole-genome transcription profiling of E. coli K-12 W3110 was performed to study the dynamic physiological response of E. coli K-12 W3110 to limited carbon conditions. cDNA from eight time intervals after glucose limitation, representing different stages of glucose depletion, along with cDNA of an unrestricted growth were hybridized to whole-genome microarrays of E. coli K-12. Glucose concentrations were gradually reduced in a fed-batch cultivation process with constant feeding rate in a bioreactor. Major focus was put on the dynamic changes in the transcription level of genes involved in the central carbon metabolism (glycolysis, pentose phosphate pathway, TCA cycle and glyoxylate shunt), high-affinity glucose transport systems, movement, growth, and stress response. In total, 40 microarrays were hybridized. The data were statistically analysed using the software R (R, 2005) and the Limma package included (Smyth, 2005). The data were normalized “print-tip-loess”. “Multiple hypothesis testing” correction was performed with the method of Benjamini and Hochberg (Benjamini and Hochberg, 1995), which controls the “false discovery rate” (fdr). Genes were regarded as differentially expressed when the “adjusted p values” were < 0.05, therefore nominally controlling the expected fdr to less than 0.05. The reproducibility of dye swap experiments as well as biological replicates was estimated by calculating “Pearson’s correlation coefficients”. A high correlation was observed for the dye swap pairs (with averaged Pearson’s correlation coefficients of 0.89 ± 0.06 for the reference samples and of 0.87 ± 0.08 for the different points of time) as well as for biological replicates (with averaged Pearson’s correlation coefficients of 0.86 ± 0.04 for the red channel (Cy5) and 0.80 ± 0.09 for the green channel (Cy3)). Benjamini, Y., and Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. J R Stat Soc B 57, 289-300. Smyth, G.K. (2005). Limma: Linear models for microarray data. In Bioinformatics and Computational Biology Solutions using R and Bioconductor, R. Gentleman, Carrey, V., Dudoit, S., Irizzary, I., Huber, W., ed. (New York, Springer), pp. 397-420. R (2005). R: A language and environment for statistical computing. (R Development Core Team). Supplementary files: Data_table_A: TabelleA_Signifikante.txt Description: Data table with coefficients of the linear model for every gene which was differentially expressed for at least one point in time according to the reference sample. The statistical analysis was performed as described in Series section (GSE10307) based on the normalized log2(test/ref) ratios in the Sample records' VALUE columns. Data_table_B1: Tabelle_B1; /E. coli/, unlimited growth via glucose limitation (glucose concentration < 0.05 gL-1) Data_table_B2: Tabelle_B2; /E. coli/, unlimited growth via glucose limitation, acetate concentration = 0.35 gL-1 Data_table_B3: Tabelle_B3; /E. coli/, unlimited growth via glucose limitation, 30 min after depletion of extracellular acetate Data_table_B4: Tabelle_B4; /E. coli/, unlimited growth via glucose limitation, 50 min after depletion of extracellular acetate Data_table_B5: Tabelle_B5; /E. coli/, unlimited growth via glucose limitation, 110 min after depletion of extracellular acetate Data_table_B6: Tabelle_B6; /E. coli/, unlimited growth via glucose limitation, 170 min after depletion of extracellular acetate Data_table_B7: Tabelle_B7; /E. coli/, unlimited growth via glucose limitation, 230 min after depletion of extracellular acetate Data_table_B8: Tabelle_B8; /E. coli/, unlimited growth via glucose limitation, 350 min after depletion of extracellular acetate Description: Data_tables_B1-B8 report statistical values (A: average intensity value (1/2log2(test*ref)); M: average expression value (log2(test/ref)), t and P.value ('adjusted P.value')) for every point in time (studied conditions are described above for the corresponding table). Every differentially expressed gene of the corresponding point in time according to the reference sample is listed. Genes were regarded as differentially expressed when their 'adjusted P.values' were < 0.05, therefore nominally controlling the expected fdr to less than 0.05. The data are based on maximal three biological replicates (three independent fed-batch cultivations). RT-PCR_results_7genes.txt and RT-PCR_protocol.PDF Keywords: Time course, stress response
2008-09-23 | GSE10307 | GEO
Project description:Four healthy male volunteers (age: 24 - 27; BMI: 24.2 - 25.9 kg/m2) underwent a single bout of high-intensity bicycle exercise reaching a VO2 max approximately 95% with blood samples and muscle biopsies taken immediately pre- and post-exercise. Subjects reached 95% VO2 max in approximately 9 to 12 min and, significant increases in blood glucose and lactate were observed. Quantitative phosphoproteomic analysis of muscle biopsies pre- and post-exercise was performed with tandem mass tags, phosphopeptide enrichment using titanium dioxide chromatography, sequential elution from immobilized metal ion affinity chromatography and hydrophilic interaction liquid chromatography (TiSH) (PMID: 22906719) followed by nano-ultra high pressure liquid chromatography coupled to tandem mass spectrometry (nanoUHPLC-MS/MS). The analysis included the quantification of non-phosphorylated peptides to investigate changes in protein abundance. A total of 11,903 unique phosphopeptides (8,511 phosphosites with >90% localization probability) and 4,317 protein groups were quantified in all four subjects. The phosphorylation profile in each subject was highly reproducible with an average Pearson’s correlation coefficient r = 0.72. We identified 1,322 phosphopeptides (1,004 phosphosites with >90% localization probability) that were significantly regulated with acute exercise and only 5 protein groups quantified with altered abundance (Fig. 1D; Table S3; t-test P < 0.05 and false discovery rate (FDR) < 0.01). Of the significantly regulated phosphosites, a total of 592 were annotated in the PhosphoSitePlus database (PMID: 22135298) with 412 not previously annotated, representing potentially novel phosphosphorylation sites.
2016-06-29 | PXD001543 | Pride
Project description:A total of 84 diverse germplasms collected from 13 countries were performed for population transcriptomic analysis. Then, Pearson’s correlation analysis was performed between four bulb traits and FPKM values of each gene in 84 accession, thereby to identify genes with an expressed association with bulb traits.
2021-10-20 | GSE186042 | GEO
Project description:Endoglin (EDG) is a cell surface protein with an important role in the establishment of neo-angiogenesis and vasculogenic mimicry. EDG is part of the transforming growth factor-β (TGF-β) family, acting as an important co-receptor. EDG is shed from the cell surface into the extracellular compartment by matrix metalloproteinase 14 (MMP14), in its soluble form (sEDG). Both transmembrane and soluble forms of EDG exert important signaling functions in the development of new blood vessels and tumour progression. To better understand the role of EDG in Ewing sarcoma (ES), a deadly neoplasm of late childhood and adolescence, we test the efficacy of OMTX703, an endoglin-targeting antibody-drug conjugate in ES8 xenograft. Having determined an optimal dose for OMTX703, an additional experiment was conducted to assess the mechanism(s) of OMTX703 action and its potential mechanism(s) of resistance following a 2-week exposure to OMTX703 at 0, 10, 30, and 60 mg/kg; 246 proteins were assessed by reverse-phase protein array (RPPA). Analysis of variance (ANOVA), Pearson’s correlation as distance metric and Ward’s linkage as the clustering method using a false discovery rate (FDR) of 0.01, identified 60 proteins that discriminated between treatment groups (Matrix#1-Normalized Values). To investigate the proteomic changes associated with the heightened clinical activity of the 60 mg/kg dose, a secondary analysis was performed, which grouped the 10 mg/kg OMTX703 samples and the 10 mg/kg OMTX003 ones with the placebo-treated samples (Matrix#2-Normalized Values). Using a FDR of 0.0001, an absolute log2 fold change of 1.5, Pearson’s correlation as distance metric and Ward’s linkage as the clustering method, 22 proteins were discriminately identified between the 3 treatment groups (Matrix#2-Normalized Values). Notably, a protein regulator of altered metabolism (RPS6) was exclusively upregulated following OMTX703 (60mg/kg), and a second metabolism biomarker (LDHA) was down-expressed in the 30 and 60 mg/kg-treated groups. Conversely, BRD4 was one of about a dozen proteins that were preferentially down-regulated in samples treated only by 60 mg/kg.
2018-12-31 | GSE114866 | GEO
Project description:DNA methylation was measured in sixteen pregnant women [8-gestational obesity group; 8-control group] in umbilical cord using the Infinium Methylation EPIC Bead Chip microarray. Differentially methylated CpGs were identified with Beta Regression Models (false discovery rate (FDR)<0.05 and an Odds Ratio>1.5 or <0.67). DNA methylation interactions between CpGs of skeletal muscle-specific genes were studied using data from Pearson correlation matrices. In order to quantify the interactions within each network, the number of links was computed. The associations between methylation levels of skeletal muscle-specific genes in umbilical cord tissue and infant’s anthropometric and metabolic variables at birth and at age 6 were analyzed by Spearman’s correlation.
2020-07-08 | GSE153564 | GEO
Project description:The placenta plays a crucial role in the normal growth and development in mammals by serving as an interface for nutrients, respiratory gases and physiological signals between the mother and fetus. Here we use a novel embryo transfer system in mice to identify the major physiological pathways in the placenta that are principally influenced by altered maternal environment. Embryos of identical genotype were transferred at the one cell stage into surrogate mothers either of the same strain or from a different strain. We analyzed the relative effects of maternal and fetal genotype on fetal weight, placental weight and the placental transcriptome at E18.5. The results show that maternal genotype overrides fetal genotype as the principal regulator of fetal weight (p<0.0001). Microarray analysis of the transcriptome in placentas revealed that a small fraction (0.25%) of placental genes are specifically regulated by maternal genotype (p<0.05, FDR<0.10). Pathway analysis of these genes using the programs Gene Ontology and MetaCore from GeneGO inc. revealed highest statistical significance in signaling pathways that regulate cell growth and lipid metabolism. These results provide a mechanistic understanding of important molecular pathways involved in maternal regulation of fetal growth and development.
2010-08-06 | E-MEXP-2479 | biostudies-arrayexpress
Project description:Current in-vitro islet differentiation protocols suffer from heterogeneity and low efficiency. Induced-pluripotent stem cells (iPSCs) derived from pancreatic beta-cells (BiPSCs) preferentially differentiate towards endocrine pancreas-like cells versus those from fibroblasts (FiPSCs). We interrogated genome-wide open chromatin in BiPSCs and FiPSCs via ATAC-seq, and identified ~8.3k significant, differential open chromatin sites (DOCS) between the two iPSC subtypes (FDR<0.05). DOCS where chromatin was more accessible in BiPSCs (Bi-DOCS) were significantly enriched for known regulators of endodermal development, including bivalent and weak enhancers, and FOXA2 binding sites (FDR<0.05). Bi-DOCS were associated with genes related to pancreas development and beta-cell function, including transcription factors mutated in monogenic diabetes (PDX1, NKX2-2, HNF1A; FDR<0.05). Moreover, Bi-DOCS correlated with enhanced gene expression in BiPSC-derived definitive endoderm and pancreatic progenitor cells. Bi-DOCS therefore highlight genes and pathways governing islet-lineage commitment, which can be exploited for differentiation protocol optimisation, diabetes disease modelling, and therapeutic purposes.
| EGAS00001002591 | EGA
Project description:We report RNA-seq data from 3 hTERT immortalised human endometrial stromal cell (HESC) lines following induced overexpression of LINC00339 realtive to blank vector controls. RNA-Seq was employed to identify those genes differentially expressed between controls and cells overexpressing LINC00339. L-HESC cells demonstrated the largest number of significantly differentially expressed genes; 924 genes (FDR threshold <0.05). T-HESCs demonstrated 280 significantly differentially expressed genes (FDR <0.05) in response to LINC00339 overexpression. M-HESC cells had 17 differentially expressed genes at an FDR <0.05 (this number increased to 68 significantly differentially expressed genes when the FDR was increased to a cut-off of <0.075).
2021-01-19 | GSE165014 | GEO
Project description:Copy number variation (CNV) is important and widespread in the genome, and is a major cause of disease and phenotypic diversity. Herein, we perform a genome-wide analysis of CNVs in the 12 diversified chicken genomes based on next-generation sequencing. We apply aCGH experiments to confirm our predicted CNVs. Results from aCGH agree well with our findings and the Pearson’s correlation values between the test and reference samples range from 0.644 to 0.722. The whole blood samples from Cornish, Rhode Island Red, and White Leghorn
2015-05-14 | E-GEOD-54118 | biostudies-arrayexpress