This SuperSeries is composed of the SubSeries listed below.
hsa-miR-191 is a candidate oncogene target for hepatocellular carcinoma therapy.
Cell line, Treatment, Time
View SamplesThe goal of this experiment was to identify possible genes affected directly or indirectly by anti-miR-191.
hsa-miR-191 is a candidate oncogene target for hepatocellular carcinoma therapy.
Cell line, Treatment
View SamplesPurpose: The aim of this study is to evaluate the global gene expression induced by OGG1-BER product 8-oxoG in mouse airways. Methods: RNA extracted from individual mouse lungs (experimental group: n=5) were pooled and a total 1 µg RNA was used for Next-Generation Sequencing (NGS) analyses on an Illumina HiSeq 1000 sequencing system. Sequence analysis were performed in duplicate. First- and second-strand synthesis, adapter ligation and amplification of the library were performed using the Illumina TruSeq Sample Preparation Kit as recommended by the manufacturer (Illumina). Library quality was evaluated by using an Agilent DNA-1000 chip on an Agilent 2100 Bioanalyzer. Library DNA templates were quantitated by qPCR using known reference starndards. Cluster formation of the library of DNA templates was performed using the TruSeq PE Cluster Kit v3 (Illumina) and the Illumina cBot workstation. Paired-end, 50-base sequencing was performed with a TruSeq SBS kit v3 (Illumina) on the Illumina HiSeq 1000 by protocols defined by the manufacturer. Base call conversion to sequence reads was performed using CASAVA-1.8.2. Sequence data were analyzed with the Bowtie2, Tophat2 and GFOLD programs. Processed data are presented as reads per kilobase transcript per million (RPKM), normalized to the experimental control (RNA from saline-challenged lungs) and reported as fold change (test/control). Results: We mapped an average of 24.76 million sequence reads per sample and identified 23,337 transcripts in total RNA extracted from lungs of Balb/cJ mice as described in Methods. Approximately 10% of the transcripts showed differential expression between the saline-challenged control and 8-oxoguanine-challeged mouse lungs, with a fold change =3.0. We validated the expression changes of 7 selected pro-inflammatory cytokines and chemokines of interest for our studies by qRT-PCR. Hierarchical clustering followed by Protein ANalysis THrough Evolutionary Relationships database (PANTHER) analysis of differentially expressed genes. Results showed overrepresentation of various biological functions (GO terms) including immune system process (GO:0002376; p=5.24e-12) among others. Pathway analysis (PANTHER) indicated that the most overrepresented pathway was inflammation mediated by chemokine and cytokine (P00031, p=<0.01). In addition to gene expression analysis, we confirmed OGG1•8-oxoG-dependent RAS activation in lungs by active RAS pull-down assays, airways neutrophil accumulation by bronchoalveolar lavage fluid (BALF) differential cell counts and airway inflammation by histological examination (H&E staining) of lung sections. Conclusions: This is the first study at the whole-transcriptome level to show induction of innate immune response gene expression in mouse lungs after exposure to OGG1-BER product 8-oxoG. Overall design: Balb/cJ mice (5 per group) were intranasally challenged with 8-oxoguanine (1 µM, 60 µl) for 30, 60 and 120 min. Control group mice were intranasally challenged with saline (60 µl). RNA from individual mice whithin the same group was pooled and subjected to deep-sequencing analysis in duplicate using NGS on an Illumina HiSeq 1000 sequencing system. After alignment and processing, the resulting RPKM from treatment groups (8-oxoG-challenged) were normalized to the control group (saline-challenged).
The Potential Role of 8-Oxoguanine DNA Glycosylase-Driven DNA Base Excision Repair in Exercise-Induced Asthma.
No sample metadata fields
View SamplesPurpose: The aim of this study is to test whether global gene expression induced by multiple challenges with OGG1-BER product 8-oxoG in mouse airways is linked to airway remodeling. Methods: RNAs extracted from individual mouse lungs (experimental group: n=5) were pooled and a total 1 µg RNA was used for Next-Generation Sequencing (NGS) analyses on an Illumina HiSeq 1000 sequencing system. Sequence analyses were performed in duplicate. First- and second-strand synthesis, adapter ligation and amplification of the library were performed using the Illumina TruSeq Sample Preparation Kit as recommended by the manufacturer (Illumina). Library quailty was evaluated by using an Agilent DNA-1000 chip on an Agilent 2100 Bioanalyzer. Library DNA templates were quantitated by qPCR using known reference standards. Cluster formation of the library of DNA templates was performed using the TruSeq PE Cluster Kit v3 (Illumina) and the Illumina cBot workstation. Paired-end, 50-base sequencing was performed with a TruSeq SBS kit v3 (Illumina) on the Illumina HiSeq 1000 by protocols defined by the manufacturer. Base call conversion to sequence reads was performed using CASAVA-1.8.2. Sequence data were analyzed with the Bowtie2, Tophat2 and GFOLD programs. Processed data are presented as reads per kilobase transcript per million (RPKM), normalized to the experimental control (RNA from saline challenged lungs) and reported as fold change (test/control). Results: We mapped an average of 31.41 million sequence reads per sample and identified 23,337 transcripts in total RNA extracted from lungs of Balb/cJ mice as described in Methods. Approximately 14% of the transcripts showed differential expression between the saline-challenged control and 8-oxoguanine-challeged mouse lungs, with a fold change =3.0. We validated the expression changes of 18 selected EMT-related genes of interest for our studies by qRT-PCR. Hierarchical clustering followed by Protein ANalysis THrough Evolutionary Relationships database (PANTHER) analysis of differentially expressed genes was done using GENE-E online software from Broad Institute (http://www.broadinstitute.org/cancer/software/GENE-E/). Results from PANTHER analysis of upregulated transcripts (fold change =3.0) showed overrepresentation of various biological functions (GO terms) including developmental process (GO:0032502, P=4.58E-33), system development (GO:0048731, P=9.16E-33), cellular process (GO:0009987, P= 5.52E-31), cell adhesion (GO:0007155, P= 8.63E-28) among others. Pathway analysis (PANTHER) indicated that the most overrepresented pathways were: cadherin signaling (P00012, P=6.62E-07), wnt signaling (P00057, P= 5.81E-06), integrin signaling (P00034, P= 1.09E-05) among others. In addition to gene expression analysis, we confirmed airway remodeling by histological examination (Hematoxylin and Eosin, Masson's trichrome staining) of lung sections at seven days from the last challenge (day 11). Conclusions: This is the first study showing a link between gene expression at whole-transcriptome level induced by chronic OGG1-BER (mimicked by multiple challenges with 8-oxoG) and airway remodeling, supported by histological structural changes in lungs. Overall design: Balb/cJ mice (5 per group) were intranasally challenged with 8-oxoguanine (1 µM, 60 µl) for three times at days 0, 2 and 4. Control group mice were intranasally challenged with saline (60 µl). At 30, 60 and 120 min after the third challenge (day 4), mice were sacrificed and lungs were processed for RNA extraction. RNAs from individual mice within the same group were pooled and subjected to deep-sequencing analysis in duplicate using NSG on an Illumina HiSeq 1000 sequencing system. After alignment and processing, the resulting RPKM from treatment groups (8-oxoG-challenged) were normalized to control group (saline-challenged).
The Potential Role of 8-Oxoguanine DNA Glycosylase-Driven DNA Base Excision Repair in Exercise-Induced Asthma.
No sample metadata fields
View SamplesTranscriptomic changes induced by DUX4 expression were compared between human and mouse cell lines of muscle lineage.
DUX4 differentially regulates transcriptomes of human rhabdomyosarcoma and mouse C2C12 cells.
Specimen part
View SamplesThe goal of this study was to generate a Drosophila model of intellectual disability caused by mutations in kdm5. RNA-seq was used to define the transcriptional defects of a mutation in Drosophila that is analogous to a human intellectual disability-associated allele, kdm5[A512p]. These data revealed a total of 1609 dysregulated genes, 778 of which were upregulated and 831 were downregulated. To determine whether these transcriptional defects were due to the loss of KDM5-induced histone demethylation, we also carried out RNA-seq from a enzymatic inactive strain, kdm5[Jmjc*]. These data revealed a striking similarity between the two datasets and suggest that the primary defect of KDM5[A512P] is loss of histone demethylase activity. Overall design: 3-5 day old adult heads from wildtype, kdm5[A512P] and kdm5[JmjC*] were used to generate RNA that was subsequently subjected to deep sequencing.
A Drosophila Model of Intellectual Disability Caused by Mutations in the Histone Demethylase KDM5.
Specimen part, Subject
View SamplesTo identify MED1 target genes involved in prostate tumorigenesis.
ERK and AKT signaling drive MED1 overexpression in prostate cancer in association with elevated proliferation and tumorigenicity.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.
Specimen part, Treatment
View SamplesTreatment of leukemia cells with 1,25-dihydroxyvitamin D3 may overcome their differentiation block and lead to the transition from myeloblasts to monocytes. To identify microRNA-mRNA networks relevant for myeloid differentiation, we profiled the expression of mRNAs and microRNAs associated to the low- and high-density ribosomal fractions in leukemic cells and in their differentiated monocytic counterpart. Intersection between mRNAs shifted across the fractions after treatment with putative target genes of modulated microRNAs showed a series of molecular networks relevant for the monocyte cell fate determination
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.
Specimen part, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Posttranscriptional crossregulation between Drosha and DGCR8.
No sample metadata fields
View Samples