Project description:The first 18 experiments are ordered according to the legend in Figure 3 of the published paper. Experiment 19 is the gene expression profile of the swi4 deletion strain compared to the wild-type strain. This study is described in more detail in Iyer VR, et al.(2001) Nature 409:533-38 Keywords: other
2002-02-12 | GSE19 | GEO
Project description:Ye et al 2021 Cytokinin-LBD paper
Project description:126 gastric tissues (90 tumor, 14 lymphnode and 22 normal) assayed using 44K human arrays against common reference (CRG). Published by Leung et al, PNAS, 2002 (PubMed ID 12456890) and Chen et al, MBC, 2003. A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Series_overall_design: Using regression correlation Keywords: other
Project description:All the array experiments published in "Gene expression patterns in human liver cancers" by Chen X, et al. Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Keywords: Logical Set
Project description:All the array experiments published in "Gene expression patterns in human liver cancers" by Chen X, et al. Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Using cDNA microarrays to characterize patterns of gene expression in HCC, we found consistent differences between the expression patterns in HCC compared with those seen in nontumor liver tissues. The expression patterns in HCC were also readily distinguished from those associated with tumors metastatic to liver. The global gene expression patterns intrinsic to each tumor were sufficiently distinctive that multiple tumor nodules from the same patient could usually be recognized and distinguished from all the others in the large sample set on the basis of their gene expression patterns alone. The distinctive gene expression patterns are characteristic of the tumors and not the patient; the expression programs seen in clonally independent tumor nodules in the same patient were no more similar than those in tumors from different patients. Moreover, clonally related tumor masses that showed distinct expression profiles were also distinguished by genotypic differences. Some features of the gene expression patterns were associated with specific phenotypic and genotypic characteristics of the tumors, including growth rate, vascular invasion, and p53 overexpression. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Using regression correlation
Project description:Hepatocellular adenomas (HCA) are rare benign tumors mainly developed in women after 2 years of oral contraceptive use (Rooks et al., 1979). HCA are also related to other risk factors (obesity, vascular diseases, androgen and alcohol intake) or to different genetic diseases (Mac Cune Albright syndrome, glycogen storage diseases type 1a and MODY3 diabetes caused by HNF1A germline mutation) (Calderaro et al., 2013; Nault et al., 2013a). Bleeding and malignant transformation to hepatocellular carcinoma (HCC) can occur as severe complications observed respectively in 30-50% and 5% of the cases. In the past 10 years, we identified 4 major molecular subgroups of HCA defined by (1) mutations inactivating HNF1A (H-HCA, 35% of the HCA) (Bacq et al., 2003; Bluteau et al., 2002; Jeannot et al., 2010), (2) activation of ß-catenin by mutations in exon 3 (bHCA, 15%) (Chen et al., 2002), (3) inflammatory phenotype with STAT3 activation (IHCA, 50%) (Bioulac-Sage et al., 2009; Zucman-Rossi et al., 2006), (4) a tumor subgroup of HCA with Sonic Hedgehog pathway activation due to recurrent focal deletions (shHCA) (Nault et al. ,in preparation) and (5) the remaining unclassified tumors (UHCA, 10%) (Bioulac-Sage et al., 2009). Among bHCA, half displayed both inflammatory and ß-catenin activated phenotypes (bIHCA). Inflammatory adenomas (IHCA) are caused by IL6ST somatic mutation activating gp130 in 60% of the cases (Rebouissou et al., 2009) whereas other IHCA are mutated for STAT3 itself (Pilati et al., 2011) or GNAS (Nault et al., 2012) but in the remaining 30% cases no mutation (NM) were identified yet. This molecular classification is currently accepted in clinical practice using either immunohistochemical markers (Bioulac-Sage et al., 2009; Bioulac-Sage et al., 2007) or in radiology at MRI (Laumonier et al., 2008) and it has dramatically improved the diagnosis and prognostic assessment of HCA. HCC derived from HCA malignant transformation (HCC on HCA, 5%)
Project description:To discover RBPs with increased insolubility in a human ALS model, we applied a well established dual-SMAD inhibition-based protocol (Fang et al., 2019; Markmiller et al., 2021; Markmiller et al., 2018; Martinez et al., 2016) to generate iPSC-MN from six control iPSC lines, from four iPSC lines originating from two sALS patients, and from two iPSC lines originating from fALS patients with pathogenic variants in the TARDBP gene (Table S1; Figure S1A). No difference in differentiation capacity was observed (Figure S1B-G), resulting in average 40% ISL1+ MN (Figures S1G), comparable to numbers observed in large scale MN differentation studies (Baxi et al., 2022). The susceptibility of ALS MN to sodium arsenite-induced stress was not changed (Figure S1H and I). Next, we asked which proteins exhibit an increased insolubility in our ALS iPSC-MN. We fractioned iPSC- MN by lysis in radio-immunoprecipitation assay (RIPA) buffer, followed by ultracentrifugation and solubilization of RIPA insoluble proteins in urea buffer. The ultracentrifugation-cleared RIPA insoluble protein fraction is widely used to study protein insolubility in the context of neurodegeneration (Nuber et al., 2013; Walker et al., 2015). Label-free mass spectrometry of the insoluble protein fraction was utilized to identify proteins that are insoluble in sALS and fALS, relative to control iPSC-MNs (Figure 1A). Gene ontology (GO) analysis of the 100 proteins (top 2.9% of all detected proteins) with the highest label free quantification (LFQ) intensities in controls (Figure S1J) revealed that ‘unfolded protein binding’ (corrected P = 7.95 x 10-16) and ‘structural constituent of cytoskeleton’ (corrected P = 1.47 x 10-10) were among the 10 most significantly enriched GO terms, indicating enrichment of insoluble proteins (Figure S1K). Principle component analysis of the insoluble fractions did not distinguish ALS from control samples, suggesting that the overall insoluble proteome is not changed (Figure S1L). At threshold P ≤ 0.05 (Welch’s t-test) and fold change ≥ 1.5, we identified 88 proteins enriched in the insoluble fraction in ALS samples relative to control (Figure 1B). When the sample labels were randomly shuffled, we observed an average of 7.5 proteins (~12-fold lower) as differentially enriched at the same statistical thresholds, indicative of an ALS-specific protein insolubility pattern (Figure 1C). The 88 candidate proteins included cytoskeletal components and motor proteins, functional categories associated with prominent ALS in vitro phenotypes (Akiyama et al., 2019; Egawa et al., 2012; Fazal et al., 2021; Guo et al., 2017; Kreiter et al., 2018) (Figure 1D). Notably, 5 RBPs, NOVA1, ELAVL4, FXR2, RBFOX2, and RBFOX3 were also enriched (Figure 1D). The NOVA1 paralog NOVA2 was significantly enriched (P = 0.03) but did not meet our enrichment threshold (fold change = 1.36). Interestingly, insoluble TDP-43 protein was not significantly different in ALS and control (P = 0.98; fold change = 0.97). Western blot analysis confirmed the increase in insolubility of NOVA1, NOVA2, ELAVL4, RBFOX2 and RBFOX3 (Figure 1E and 1F). The soluble protein levels of NOVA1 and NOVA2 were also increased (Figure 1F). In conclusion, we identified 5 RBPs with elevated insoluble protein levels of ALS-iPSC-MNs.
Project description:126 gastric tissues (90 tumor, 14 lymphnode and 22 normal) assayed using 44K human arrays against common reference (CRG). Published by Leung et al, PNAS, 2002 (PubMed ID 12456890) and Chen et al, MBC, 2003. A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Series_overall_design: Using regression correlation
Project description:A stably transfected inducible system for KLF4 was established in RKO cells as previously described (Chen et al., 2001; Chen et al., 2003). This cell line, called EcR-RKO/KLF4, contains stably transfected receptors for the insect hormone, ecdysone (EcR), and a full-length mouse KLF4 cDNA driven by a promoter that responds to ecdysone and its analogue, ponasterone A. Cells were treated with 5 µM ponasterone A (PA), for various time durations. To control for the experiment, the vehicle, ethanol, was added for the same periods of time. Keywords: Time course
Project description:Heat stress experiments imposed on Buchnera aphidicola within intact Schizaphis graminum hosts. NOTE: normalized values in GEO are NOT those derived from intensive analyses described in paper. Please see Wilcox et al. 2002 for description. Keywords = reduced bacterial genome, stress response Keywords: repeat sample