Similar Datasets
Project description:Part I - SI-NET tumors High Resolution Isoelectric Focusing (HiRIEF) LC-MS and relative quantification by iTRAQ 8-plex was used to analyze 14 small intestinal neuroendocrine tumors (SI-NETs). The data was obtained from two separate TMT10plex sets and linked by a single internal pooled standard. The internal pooled standard was made by combining equal aliquots of the tryptic peptide mixtures from each of the 14 tissue samples. iTRAQ set1 was composed of 7 SI-NET samples, all from different individuals, and internal pooled standard labelled as follows: Channel 113 (sample Screen-1 with liver metastasis), Channel 114 (sample Screen-8 with liver metastasis), Channel 115 (sample Screen-3 with liver metastasis), Channel 116 (sample Screen-2 with liver metastasis), Channel 117 (sample Screen-5 no liver metastasis), Channel 118 (sample Screen-4 no liver metastasis), Channel 119 (sample Screen-10 no liver metastasis), Channel 121 (internal pooled standard). iTRAQ set2 was composed of 7 SI-NET samples, all from different individuals, and internal pooled standard labelled as follows: Channel 113 (sample Screen-7 with liver metastasis), Channel 114 (sample Screen-11 with liver metastasis), Channel 115 (sample Screen-13 with liver metastasis), Channel 116 (sample Screen-6 no liver metastasis), Channel 117 (sample Screen-12 no liver metastasis), Channel 118 (sample Screen-9 no liver metastasis), Channel 119 (sample Screen-14 no liver metastasis), Channel 121 (internal pooled standard). Part II - time course profiling in cell lines High Resolution Isoelectric Focusing (HiRIEF) LC-MS and relative quantification by TMT 10-plex was used to analyze cellular response to the neddylation inhibitor pevonedistat (MLN4924) at different timepoints in two SI-NET (small intestinal neuroendocrine tumors) cell lines. The data was obtained from two separate TMT 10-plex experiments. TMT set1 includes a time course experiment upon pevonedistat treatment of CNDT2 cells with harvests at 2h, 6h, 12h and 24h after treatment as well as of untreated control cells. Isobaric tag labelling of peptide samples with TMT10plex was used as follows. Biological duplicate controls (TMT channels 126, 127N), duplicate 2h (127C, 128N), duplicate 6h (128C, 129N), duplicate 12h (129C, 130N) and duplicate 24h (130C, 131) samples were employed. TMT set2 includes a time course experiment upon pevonedistat treatment of HC45 cells with harvests at 2h, 6h, 12h and 24h after treatment as well as of untreated control cells. Isobaric tag labelling of peptide samples with TMT10plex was used as follows. Biological duplicate controls (TMT channels 126, 127N), duplicate 2h (127C, 128N), duplicate 6h (128C, 129N), duplicate 12h (129C, 130N) and duplicate 24h (130C, 131) samples were employed.
2020-12-09 | PXD009877 | Pride
Project description:H-STS NET cell line perturbed with small molecule compounds
| PRJNA379584 | ENA
Project description:The transcriptomics changes induced in the human liver cell line HepG2 by 17 hepatotoxic compounds, 5 non-hepatotoxic compounds and solvent controls after treatment for 24h
2014-02-14 | GSE51952 | GEO
Project description:The beneficial effects of glucocorticoids (GCs) in acute lymphoblastic leukemia (ALL) are based on their ability to induce apoptosis. Omics technologies such as DNA microarray analysis are widely used to study the changes in gene expression and have been successfully implemented in biomarker identification. In addition, time series studies of gene expression enable the identification of correlations between kinetic profiles of glucocorticoid receptor (GR) target genes and diverse modes of transcriptional regulation. This study presents a genome-wide microarray analysis of both our and published Affymetrix HG-U133 Plus 2.0 data in GCs-sensitive and -resistant ALL. GCs-sensitive CCRF-CEM-C7-14 cells were treated with dexamethasone at three time points (0 h, 2 h and 10 h). The treated samples were then compared to the control (0 h). The published data used were as follows: GSE2677: GSM51674: B-ALL-24-24h GSM51675: B-ALL-24-6h GSM51676: B-ALL-24-0h GSM51680: B-ALL-17-24h GSM51681: B-ALL-17-8h GSM51682: B-ALL-17-0h GSM51677: B-ALL-13-24h GSM51678: B-ALL-13-8h GSM51679: B-ALL-13-0h GSM51683: B-ALL-31-24h GSM51684: B-ALL-31-6h GSM51685: B-ALL-31-0h GSM51686: B-ALL-32-24h GSM51687: B-ALL-32-6h GSM51688: B-ALL-32-0h GSM51689: B-ALL-33-24h GSM51690: B-ALL-33-6h GSM51691: B-ALL-33-0h GSM51692: B-ALL-37-24h GSM51693: B-ALL-37-6h GSM51694: B-ALL-37-0h GSM51695: B-ALL-38-24h GSM51696: B-ALL-38-6h GSM51697: B-ALL-38-0h GSM51698: B-ALL-40-24h GSM51699: B-ALL-40-6h GSM51700: B-ALL-40-0h GSM51701: B-ALL-43-24h GSM51702: B-ALL-43-6h GSM51703: B-ALL-43-0h GSM51707: T-ALL-25-24h GSM51708: T-ALL-25-6h GSM51709: T-ALL-25-0h GSM51704: T-ALL-20-24h GSM51705: T-ALL-20-8h GSM51706: T-ALL-20-0h GSM51710: T-ALL-2-24h GSM51711: T-ALL-2-8h GSM51712: T-ALL-2-0h GSE2842 GSM60545: S-Line-PreB-6h-EtOH GSM60546: S-Line-PreB-6h-GC GSM60547: S-Line-PreB-24h-GC GSM60542: S-Line-C7H2-6h-EtOH GSM60543: S-Line-C7H2-6h-GC GSM60544: S-Line-C7H2-24h-GC GSM60560: R-Line-CEMC1-6h-EtOH GSM60561: R-Line-CEMC1-6h-GC GSM60562: R-Line-CEMC1-24h-GC GSM60564: R-Line-C7R1-6h-EtOH GSM60566: R-Line-C7R1-6h-GC GSM60576: R-Line-C7R1dim-low-6h-EtOH GSM60578: R-Line-C7R1dim-low-6h-GC GSM60579: R-Line-C7R1dim-low-24h-GC GSM60581: R-Line-PreB-6h-EtOH GSM60583: R-Line-PreB-6h-GC GSM60584: R-Line-PreB-24h-EtOH GSM60586: R-Line-PreB-24h-GC GSM60548: C-Line-CEMC1-ratGR-6h-EtOH GSM60549: C-Line-CEMC1-ratGR-6h-GC GSM60550: C-Line-CEMC1-ratGR-24h-GC GSM60551: C-Line-C7R1dim-high-6h-EtOH GSM60552: C-Line-C7R1dim-high-6h-GC GSM60553: C-Line-C7R1dim-high-24h-GC
2012-09-01 | GSE39338 | GEO
Project description:The beneficial effects of glucocorticoids (GCs) in acute lymphoblastic leukemia (ALL) are based on their ability to induce apoptosis. Omics technologies such as DNA microarray analysis are widely used to study the changes in gene expression and have been successfully implemented in biomarker identification. In addition, time series studies of gene expression enable the identification of correlations between kinetic profiles of glucocorticoid receptor (GR) target genes and diverse modes of transcriptional regulation. This study presents a genome-wide microarray analysis of both our and published Affymetrix HG-U133 Plus 2.0 data in GCs-sensitive and -resistant ALL. GCs-sensitive CCRF-CEM-C7-14 cells were treated with dexamethasone at three time points (0 h, 2 h and 10 h). The treated samples were then compared to the control (0 h). The published data used were as follows: GSE2677: GSM51674: B-ALL-24-24h GSM51675: B-ALL-24-6h GSM51676: B-ALL-24-0h GSM51680: B-ALL-17-24h GSM51681: B-ALL-17-8h GSM51682: B-ALL-17-0h GSM51677: B-ALL-13-24h GSM51678: B-ALL-13-8h GSM51679: B-ALL-13-0h GSM51683: B-ALL-31-24h GSM51684: B-ALL-31-6h GSM51685: B-ALL-31-0h GSM51686: B-ALL-32-24h GSM51687: B-ALL-32-6h GSM51688: B-ALL-32-0h GSM51689: B-ALL-33-24h GSM51690: B-ALL-33-6h GSM51691: B-ALL-33-0h GSM51692: B-ALL-37-24h GSM51693: B-ALL-37-6h GSM51694: B-ALL-37-0h GSM51695: B-ALL-38-24h GSM51696: B-ALL-38-6h GSM51697: B-ALL-38-0h GSM51698: B-ALL-40-24h GSM51699: B-ALL-40-6h GSM51700: B-ALL-40-0h GSM51701: B-ALL-43-24h GSM51702: B-ALL-43-6h GSM51703: B-ALL-43-0h GSM51707: T-ALL-25-24h GSM51708: T-ALL-25-6h GSM51709: T-ALL-25-0h GSM51704: T-ALL-20-24h GSM51705: T-ALL-20-8h GSM51706: T-ALL-20-0h GSM51710: T-ALL-2-24h GSM51711: T-ALL-2-8h GSM51712: T-ALL-2-0h GSE2842 GSM60545: S-Line-PreB-6h-EtOH GSM60546: S-Line-PreB-6h-GC GSM60547: S-Line-PreB-24h-GC GSM60542: S-Line-C7H2-6h-EtOH GSM60543: S-Line-C7H2-6h-GC GSM60544: S-Line-C7H2-24h-GC GSM60560: R-Line-CEMC1-6h-EtOH GSM60561: R-Line-CEMC1-6h-GC GSM60562: R-Line-CEMC1-24h-GC GSM60564: R-Line-C7R1-6h-EtOH GSM60566: R-Line-C7R1-6h-GC GSM60576: R-Line-C7R1dim-low-6h-EtOH GSM60578: R-Line-C7R1dim-low-6h-GC GSM60579: R-Line-C7R1dim-low-24h-GC GSM60581: R-Line-PreB-6h-EtOH GSM60583: R-Line-PreB-6h-GC GSM60584: R-Line-PreB-24h-EtOH GSM60586: R-Line-PreB-24h-GC GSM60548: C-Line-CEMC1-ratGR-6h-EtOH GSM60549: C-Line-CEMC1-ratGR-6h-GC GSM60550: C-Line-CEMC1-ratGR-24h-GC GSM60551: C-Line-C7R1dim-high-6h-EtOH GSM60552: C-Line-C7R1dim-high-6h-GC GSM60553: C-Line-C7R1dim-high-24h-GC
2012-09-01 | GSE39335 | GEO
Project description:Comparative gene expression analysis of generated DCs on several condition with small molecule compounds
2023-10-02 | GSE239334 | GEO
Project description:Epigenome analysis of NET samples
| PRJNA553758 | ENA
Project description:Expression profile of human GEP-NET tumors, including 113 fresh frozen biopsies of primary and metastatic tumours originating from pancreas (P-NET, 83 primary and 30 metastasis), 81 from small intestine (SI-NET, 44 primary and 37 metastasis), and 18 from rectum (RE-NET, 3 primary and 15 metastasis).
2018-02-25 | GSE98894 | GEO
Project description:Human primary macrophages were treated with 1 µM staurosporine (STS) and profiled for small RNAs. Human primary macrophages were treated with 1 µM staurosporine (STS) for 0, 4 and 6h.
2015-09-16 | E-GEOD-47608 | biostudies-arrayexpress
Project description:While strongly implicated in Postural Tachycardia Syndrome (POTS), considerable controversy exists regarding norepinephrine transporter (NET) loss-of-function. POTS is characterized by the clinical symptoms of orthostatic intolerance, light-headedness, tachycardia and syncope or near syncope with upright posture. Abnormal sympathetic nervous system activity is typical, of a type which suggests dysfunction of the NET, with evidence the gene responsible is under tight epigenetic control. Using RNA of isolated chromatin combined with sequencing (RICh-Seq) we show let7i miRNA suppresses NET by MeCP2. Vorinostat restores epigenetic control and NET expression in POTS.
2017-01-07 | GSE93235 | GEO