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SRP160510
Homo sapiens
66 Downloadable Samples
Description
Purpose: Here we describe the modulation of a gene expression program involved in cell fate. Methods: We depleted U2AF1 in human induced pluripotent stem cells (hiPSCs) to the level found in differentiated cells using an inducible shRNA system, followed by high-throughput RNAseq, revealing a gene expression program involved in cell fate determination. Results: Approximately 85% of the total raw reads were mapped to the human genome sequence (GRCh37), giving an average of 200 million human reads per sample for total RNA and 15 million human reads per sample for small RNA libraries. Conclusions: Our results show that transcriptional control of gene expression in hiPSCs can be set by the CSF U2AF1, establishing a direct link between transcription and AS during cell fate determination. Overall design: hiPSCs were differentiated into the three germ layers following the described protocol in the study (Gifford et al., 2013).
Publication Title
The core spliceosomal factor U2AF1 controls cell-fate determination via the modulation of transcriptional networks.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 18 Downloadable Samples
- NextSeq 500
Description
Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used an assembly approach of HIV (YU2 strain) putative transcripts and human long non-coding sequences from paired-reads (2x75bp) captured on a NimbleGen SeqCap® EZ Developer Library (Roche/NimbleGen). Methods: Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal, followed by high-throughput RNAseq from custom SeqCap EZ capture libraries. Each raw dataset of the samples contained between 5 and 30 million paired-end reads (75 bp), with an average of approximately 12 million raw reads per sample. Results: The raw reads were then cleaned and assembled per library to generate contigs, giving an average of 930 contigs per sample for further analyses. Conclusions: Our results show that high-throughput analyses coupled with bioinformatics-specific tools offers a comprehensive and more accurate view of mRNA splicing within a cell. Overall design: We used buffy coats from HIV-negative individuals were obtained from the local blood donation center, then human peripheral blood mononuclear cells (PBMCs) were isolated by Ficoll (Histopaque, Sigma) gradient centrifugation. Cells were infected with 80 ng of p24/106 cells of the YU-2 strain for 4 to 6 hours and then rinsed with PBS before medium renewal.
Publication Title
Both anti-inflammatory and antiviral properties of novel drug candidate ABX464 are mediated by modulation of RNA splicing.
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Proliferative and replicative senescent fibroblasts from aged human donors were reprogrammed towards pluripotency and re-differentiated in fibroblasts and then further analyzed for rejuvenation assessment.
Publication Title
Rejuvenating senescent and centenarian human cells by reprogramming through the pluripotent state.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Rattus norvegicus
- 20 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Physical exercise training is a known protective factor against cardiovascular morbidity and mortality. Nevertheless, the underlying specific molecular mechanisms still remain uncompletely explored. To identify molecular mechanisms by which exercise training induces this favorable phenotype a genomic approach was used in an animal model of mild exercise previously demonstrated by our group to induce cardioprotection.
Publication Title
Gene expression profile of rat left ventricles reveals persisting changes following chronic mild exercise protocol: implications for cardioprotection.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 33 Downloadable Samples
Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430B Array (moe430b)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Activity-dependent regulation of inhibitory synapse development by Npas4.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 23 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430A Array (moe430a)
Description
we performed a DNA microarray experiment to identify activity-regulated genes that are misregulated in the absence of Npas4.
Publication Title
Activity-dependent regulation of inhibitory synapse development by Npas4.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 10 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Mouse Expression 430B Array (moe430b)
Description
we used DNA microarray analysis to identify genes that are induced by neuronal activity in excitatory neurons at the time when inhibitory synapses are forming and maturing on them.
Publication Title
Activity-dependent regulation of inhibitory synapse development by Npas4.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
- Illumina HiSeq 2000
Description
These experiments aim to determine global gene expression patterns in WT vs KPC isolated pancreatic fibroblasts Overall design: WT or KPC mice were isolated from pancreas and RNA-seq was performed
Publication Title
Stromal ETS2 Regulates Chemokine Production and Immune Cell Recruitment during Acinar-to-Ductal Metaplasia.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 45 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Eleven NSCLC cell lines with widely divergent gefitinib sensitivities were compared using gene expression. Genes associated with gefitinib response were used to classify additional NSCLC lines with unknown gefitnib sensitivity.
Publication Title
Baseline gene expression predicts sensitivity to gefitinib in non-small cell lung cancer cell lines.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 31 Downloadable Samples
- Illumina HiSeq 2500
Description
We report a pilot investigation for poly-A RNAs differentially expressed during Mycobacterium tuberculosis infection. Participation in this investigation from March 2010 to July 2013 was voluntary, only subjects that were >18 years old and that informed written consent were considered eligible. The recruitment of tuberculosis (TB) patients was done at public hospitals in Rio de Janeiro, Brazil. The diagnostic criteria for active pulmonary tuberculosis was at least one AFB (acid-fast bacilli) -positive sputum sample for M. tuberculosis and/or positive sputum culture and/or compatible clinical evolution for pulmonary TB and less than 15 days of anti-TB treatment and was in accordance with those of the Brazilian Ministry of Health. Blood was collected from recent close contacts (rCt) and active tuberculosis (TB) index cases (n=6). Latent TB infection (LTBI) was accessed by both tuberculin skin test (TST, cut-off = 5mm) and in house interferon-gamma release assays (IGRA, cut-off = 100 pg/ml), therefore, 12 rCt were classified as uninfected controls and 16 with LTBI. Subsequently, the sequencing was performed following the standard protocols on Illumina HiSeq® 2500 Sequencing System (Illumina, San Diego, CA) running 100 bp paired-end reads (PE100) and generating approximately 30 million reads passing filter for each sample to produce the mRNA reads. Mining these RNAseq data, highly prominent modulation of DOCK9, EPHA4, and NPC2 mRNA expression was observed in the TB samples, indicating that they might have a role in TB pathogenesis. These differential modulations upon M. Tuberculosis infection were further validated by additional evidences in larger cohorts from different geographical areas. Overall design: We collected blood samples from the recent close contacts (rCt) at the recruitment and monitored them for 1-year. All TB participants were treatment-naïve. An infection mRNA signature was derived from whole blood RNA sequencing data by comparing TB and uninfected rCt. We selected the 3 most prominent genes, by area under the ROC curve analysis, for additional validations. Some of the LTBI participants also showed the mRNA infection profile.
Publication Title
Transcriptomic Biomarkers for Tuberculosis: Evaluation of <i>DOCK9. EPHA4</i>, and <i>NPC2</i> mRNA Expression in Peripheral Blood.
Sample Metadata Fields
Specimen part, Subject
View Samples