Filters
Technology
Platform
SRP186906
Homo sapiens
4 Downloadable Samples
Illumina HiSeq 2500
Description
Here we show that biotin-labelled miR-34a can be loaded to AGO2, and AGO2 immunoprecipitation can pulldown biotinylated miR-34a (Bio-miR pulldown). RNA-sequencing (RNA-seq) of the Bio-miR pulldown RNAs efficiently identified miR-34a mRNA targets, which could be verified with luciferase assays. In contrast to the approach of Bio-miR pulldown, RNA-seq of miR-34a overexpression samples had limited value in identifying direct targets of miR-34a. It seems that pulldown of 30 -Biotin-tagged miRNA can identify bona fide microRNA targets at least for miR34a. Overall design: biotin-labelled miR-34a pulldown and RNA sequencing of miR-34a overexpression samples
Publication Title
Comparing two approaches of miR-34a target identification, biotinylated-miRNA pulldown vs miRNA overexpression.
Sample Metadata Fields
Cell line, Subject
View Samples- Mus musculus
- 14 Downloadable Samples
- Illumina HiSeq 2500
Description
Adult hematopoiesis has been studied in terms of progenitor differentiation potentials, whereas its kinetics in vivo is poorly understood. We combined inducible lineage tracing of endogenous adult hematopoietic stem cells (HSC) with flow cytometry and single-cell RNA sequencing to characterize early steps of hematopoietic differentiation in the steady state. Labeled cells, comprising primarily long-term HSC and some short-term HSC, produced megakaryocytic lineage progeny within one week, in a process that required only 2-3 cell divisions. Erythroid and myeloid progeny emerged simultaneously by 2 weeks, and included a progenitor population with expression features of both lineages. Myeloid progenitors at this stage showed diversification into granulocytic, monocytic and dendritic cell types, and rare intermediate cell states could be detected. In contrast, lymphoid differentiation was virtually absent within the first 3 weeks of tracing. These results show that continuous differentiation of HSC rapidly produces major hematopoietic lineages and cell types, and reveal fundamental kinetic differences between megakaryocytic, erythroid, myeloid and lymphoid differentiation. Overall design: We combined inducible lineage tracing of endogenous adult hematopoietic stem cells (HSC) with flow cytometry and single-cell RNA sequencing to characterize early steps of hematopoietic differentiation in the steady state.
Publication Title
Kinetics of adult hematopoietic stem cell differentiation in vivo.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 26 Downloadable Samples
- Illumina HiSeq 2500
Description
Transcriptome levels of matched patient-derived xenograft (PDX) in vitro-in vivo models. Overall design: Comparison of gene expression levels between matched patient-derived xenograft in vitro-in vivo models.
Publication Title
Generation of matched patient-derived xenograft in vitro-in vivo models using 3D macroporous hydrogels for the study of liver cancer.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples- Homo sapiens
- 12 Downloadable Samples
- NextSeq 500
Description
Three triple negative breast cancer cell lines (MDAMB231, SUM159, and HCC1806) were treated with small molecule inhibitors (JQ1, BET bromodomain inhibitor; GSK2801, BAZ2A/B bromodomain inhibitor) alone and in combination for 72 hours Overall design: 12 experimental samples
Publication Title
GSK2801, a BAZ2/BRD9 Bromodomain Inhibitor, Synergizes with BET Inhibitors to Induce Apoptosis in Triple-Negative Breast Cancer.
Sample Metadata Fields
Cell line, Treatment, Subject
View Samples- Mus musculus
- 24 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We used microarrays to assess gene expression differences in the hippocampus between FoxO6 mutant and wild-type siblings before (basal) or after novel object learning.
Publication Title
FoxO6 regulates memory consolidation and synaptic function.
Sample Metadata Fields
Sex, Time
View Samples- Homo sapiens
- 8 Downloadable Samples
- Illumina HiSeq 2000
Description
Purpose: NGS has revolutionized systems-based analysis of cell signaling pathways. The goal of this study is to determine the effects of PPARD in colon cancer cell transcriptomes in relation to the metastatic potential. Methods: NGS-derived colon cancer cell mRNA transcriptome profiles of HCT116 WT (HCT116) and HCT116 with genetic PPARD-knockout (KO1) cells were generated by deep sequencing, in quadruplicate, using Illumina HiSeq2000 .The transcriptomes of HCT116 and KO1 cells will be compared to determine the differentially expressed genes between HCT116 and KO1 cells. Differentially expressed genes will be examined in relation to the metastatic potential and validated by qRT-PCR. Results: Using an optimized data analysis workflow Tophat2, we mapped about 25 million sequence reads per sample to the human genome. Out of 22229 genes, we identified 12118 transcripts with >50 reads in at least one sample of HCT116 and KO1 cells with edgeR package and identified 6668 differentailly expressed genes with FDR 0.001 and P value cutoff 0.0022 using GLM tests fitted with BUM model. We further fltered the genes with both p-value and fold change and identified 416 genes with FDR 0.001 and fold change larger than 2. Among the differentially expressed genes, 311 were downregulated and 105 were upregulated in the KO1 cells compared with the WT cells. Twenty-three of the differentially expressed genes had significant association (i.e., a tendency towards co-occurrence) with PPARD expression (P < 0.05; log odds ratio > 1.5) in the TCGA colorectal adenocarcinoma database. Of these 23 genes, 7 were linked to metastasis by PubMed literature searches: GJA1, VIM, SPARC, NRG1, CXCL8 (IL-8), STC1, and SNCG, which were validated by q-RT-PCR. Conclusions: Our study represents the detailed analysis of PPARD transcriptomes in colon cancer cells, generated by mRNA-seq technology. Our results show that NGS offers a comprehensive and accurate quantitative and qualitative evaluations of mRNA contents in cells. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Overall design: The transcriptome profiles of HCT116 WT and KO1 colon cancer cells were generated by deep sequencing, in quadruplicate, using Illumina HiSeq2000.
Publication Title
Metastasis regulation by PPARD expression in cancer cells.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 75 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The cellular response to DNA damage is vital for maintaining genomic stability and preventing undue cell death or cancer formation. The DNA damage response (DDR), most robustly mobilized by double-strand breaks (DSBs), rapidly activates an extensive signaling network that affects numerous cellular systems, leading to cell survival or programmed cell death. A major component of the DDR is the widespread modulation of gene expression. We analyzed transcriptional responses to ionizing radiation (IR) in 5 human cell lines to elucidate the scope of this response and identify its gene targets. According to the mRNA expression profiles most of the responses were cell line-specific. Data analysis identified significant enrichment for p53 target genes and cell cycle-related pathways among groups of up-regulated and down-regulated genes, respectively.
Publication Title
Transcriptional modulation induced by ionizing radiation: p53 remains a central player.
Sample Metadata Fields
Cell line, Time
View Samples- Mus musculus, Homo sapiens
- 6 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
CXCL10 is critical for the progression and maintenance of depigmentation in a mouse model of vitiligo.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 13 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
The DNA damage response network modulates a wide array of signaling pathways, including DNA repair, cell cycle checkpoints, apoptotic pathways and numerous stress signals. The ATM protein kinase, functionally missing in patients with the human genetic disorder ataxia-telangiectasia (A-T), is a master regulator of this network when the inducing DNA lesions are double strand breaks. The ATM gene is also frequently mutated in sporadic cancers of lymphoid origin. Here, we applied a functional genomics approach that combines gene expression profiling and computational promoter analysis to obtain global dissection of the transcriptional response to ionizing radiation (IR) in murine lymphoid tissue. Cluster analysis revealed six major expression patterns in the data. Prominent among them was a gene cluster that contained dozens of genes whose response to irradiation was Atm-dependent. Computational analysis identified significant enrichment of the binding site signatures of the transcription factors NF-kB and p53 among promoters of these genes, pointing to the major role of these two transcription factors in mediating the Atm-dependent transcriptional response in the irradiated lymphoid tissue. Examination of the response showed that pro- and anti-apoptotic signals were simultaneously induced, with the pro-apoptotic pathway mediated by p53, and the pro-survival pathway by NF-kB. These findings further elucidate the molecular network induced by IR and have implications for cancer management as they suggest that a combined treatment that restores the p53-mediated apoptotic arm while blocking the NF-kB-mediated pro-survival arm could be most successful in increasing the radiosensitivity of lymphoid tumors.
Publication Title
Parallel induction of ATM-dependent pro- and antiapoptotic signals in response to ionizing radiation in murine lymphoid tissue.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Skin samples from mice in a model of vitiligo were selected for gene expression profiling in order to identify active inflammatory pathways.
Publication Title
CXCL10 is critical for the progression and maintenance of depigmentation in a mouse model of vitiligo.
Sample Metadata Fields
Specimen part
View Samples