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Mus musculus
127 Downloadable Samples
Illumina HiSeq 2500
Description
The inability of the adult mammalian heart to regenerate following injury represents a major barrier in cardiovascular medicine. In contrast, the neonatal mammalian heart retains a transient capacity for regeneration, which is lost shortly after birth. Defining the molecular mechanisms that govern regenerative capacity in the neonatal period remains a central goal in cardiac biology. Here, we construct a transcriptional atlas of multiple cardiac cell populations, which enables comparative analyses of the regenerative (neonatal) versus non-regenerative (adult) state for the first time. This work provides a comprehensive transcriptional resource of multiple cardiac cell populations during cardiac development, repair and regeneration. Our findings define a transcriptional program underpinning the neonatal regenerative state and identifies an epigenetic barrier to re-induction of the regenerative program in adult cardiomyocytes. Overall design: Cardiomyocytes, fibroblasts, leukocytes and endothelial cells from infarcted and non-infarcted neonatal (P1) and adult (P56) hearts were isolated by enzymatic dissociation and FACS. RNA sequencing (RNA-seq) was performed on these cell populations to generate a transcriptomic atlas of the major cardiac cell populations during cardiac development, repair and regeneration. In addition, we surveyed the epigenetic landscape of cardiomyocytes during post-natal maturation by performing deep sequencing of accessible chromatin regions using the Assay for Transposase-Accessible Chromatin (ATAC-seq) from purified cardiomyocyte nuclei (P1, P14 and P56).
Publication Title
Multicellular Transcriptional Analysis of Mammalian Heart Regeneration.
Alternate Accession IDs
Sample Metadata Fields
Specimen part, Treatment, Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina Genome Analyzer IIx
Description
Epigenetic modifications have emerged as central players in the coordination of gene expression networks during cardiac development. While several studies have investigated the role of histone modifications during heart development, relatively little is known about the role of DNA methylation. The purpose of the current study was to determine whether DNA methylation plays an important role in guiding transcriptional changes during the neonatal period, which is an important developmental window for cardiac maturation and cardiomyocyte cell cycle arrest. We used methyl binding domain protein sequencing (MBD-seq) and mRNA-seq to profile DNA methyation and gene expression respectively in neonatal hearts at P1 and P14 stages. Thousands of differentially methylated regions (DMRs) were identified between P1 and P14, the vast majority of which were hypermethylated. Gene ontology analysis revealed that these hypermethylated genes were associated with transcriptional regulation of important developmental signaling pathways, including Hedgehog, BMP, TGF beta, FGF and Wnt/b-catenin signaling. A significant enrichment for myogenic transcription factors and Smad2/3/4 binding sites was also noted among differentially methylated peaks at P14. This study provides novel evidence for widespread alterations in DNA methylation during post-natal heart maturation and suggests that DNA methylation plays an important role in cardiomyocyte cell cycle arrest during the neonatal period. Overall design: mRNA-seq to profile gene expression in neonatal hearts at P1 and P14 stages (post-natal day 1 and 14 respectively) in three biological replicates.
Publication Title
Dynamic changes in the cardiac methylome during postnatal development.
Alternate Accession IDs
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 47 Downloadable Samples
Affymetrix Mouse Gene 2.1 ST Array (mogene21st)
Description
Expression data from 4T1 subclones derived from mammary fat pad tumors (MFP), axillary lymph node tumors (AxLN), and axillary lymph node-derived lung metastases (AxLN-LuM). In parallel, expression data, in the same subclones, of tail vein-derived (TV) lung metastases.
Publication Title
Histone deacetylase 11 inhibition promotes breast cancer metastasis from lymph nodes.
Alternate Accession IDs
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 36 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
Therapeutic targeting of BRAFV600Eand of MEK has shown a significant impact on progression-free and overall survival in advanced melanoma, but only a fraction of patients benefit from these treatments, suggesting that additional signaling pathways involved in melanoma growth/survival need to be identified. To this end, we used whole genome microarray analysis to identify differentially expressed genes in a set of neoplastic clones, isolated from a single melanoma metastasis, and characterized by mututally exclusive expression of BRAFV600E or NRASQ61R. By this approach we identified two genes, SEMA6A and Mical-1 belonging to the semaphorin-plexin signaling pathway and higly expressed, at mRNA and protein level, in BRAF-mutant neoplastic clones. Real-time PCR, Western blot analysis and immunohistochemistry confirmed the preferential expression of SEMA-6A and Mical-1 in BRAFV600E neoplastic cells from melanoma clones, primary and metastatic cell lines and tissue sections from melanoma lesions. SEMA6A depletion, by specific RNA-interference experiments, led to cytoskeletal remodeling, loss of stress fibers, generation of actin-rich protrusion, and cell death, whereas SEMA6A overexpression, in NRASQ61R clones, promoted invasiveness. Mical-1 depletion, by siRNA, in BRAFV600E melanomas, did not alter the actin cytoskeleton organization but caused a strong NDR phosphorylation and NDR-dependent apoptosis. Overall, these results suggest that the SEMA and MICAL pathways contribute to promote survival of BRAFV600E melanomas.
Publication Title
Sema6A and Mical1 control cell growth and survival of BRAFV600E human melanoma cells.
Alternate Accession IDs
Sample Metadata Fields
Cell line
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SRP043115- Mus musculus
- 6 Downloadable Samples
- Ion Torrent Proton
Description
Purpose: Probe the transcriptome-wide changes in the expression pattern between WT and Sertoli-specific Upf2 KO testes Methods: Total RNA were extracted from WT and Sertoli-specific Upf2 KO testes in triplicates and subject to deep-sequencing in Ion Torrent seq platform. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm9) and identified 16,014 transcripts in the retinas of WT and Nrl-/- mice with BWA workflow and 34,115 transcripts with TopHat workflow. RNA-seq data confirmed stable expression of 25 known housekeeping genes, and 12 of these were validated with qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for more than four orders of magnitude and a goodness of fit (R2) of 0.8798. Approximately 10% of the transcripts showed differential expression between the WT and Nrl-/- retina, with a fold change =1.5 and p value <0.05. Altered expression of 25 genes was confirmed with qRT–PCR, demonstrating the high degree of sensitivity of the RNA-seq method. Hierarchical clustering of differentially expressed genes uncovered several as yet uncharacterized genes that may contribute to retinal function. Data analysis with BWA and TopHat workflows revealed a significant overlap yet provided complementary insights in transcriptome profiling. Conclusions: Our study represents the first detailed analysis of Upf2-mediated NMD pathway in Sertoli cell development Overall design: Testis mRNA profiling was generated from postnatal day 4 WT and Amh-cKO (Sertoli specific Upf2 KO) testes, in triplicates.
Publication Title
UPF2, a nonsense-mediated mRNA decay factor, is required for prepubertal Sertoli cell development and male fertility by ensuring fidelity of the transcriptome.
Alternate Accession IDs
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
In this study, we use pre-malignant cells from different Cebpa mutant acute myeloid leukemia (AML) models. We have used conditional KO models (CreLoxP) and isolated hematopoietic cells shortly after induction of recombination, in order to look at pre-leukemic cells, which have acquired the first hit, but not yet undergone full malignant transformation.
Publication Title
Lack of the p42 form of C/EBPα leads to spontaneous immortalization and lineage infidelity of committed myeloid progenitors.
Alternate Accession IDs
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 10 Downloadable Samples
- Illumina Genome Analyzer
Description
This report not only adds a novel mechanism to the current dogma on achieving global shortening of 3''UTRs, but also unveils a novel function of the NMD pathway in establishing tissue-specific transcriptome identity Overall design: We first generated prospermatogonia-specific Upf2 conditional knockout mice (Ddx4-Cre; Upf2 fl/?, hereafter called Ddx4-KO) by crossing Ddx4-Cre13 with Upf2 floxed.
Publication Title
UPF2-Dependent Nonsense-Mediated mRNA Decay Pathway Is Essential for Spermatogenesis by Selectively Eliminating Longer 3'UTR Transcripts.
Alternate Accession IDs
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Histone modifications are a key epigenetic mechanism to activate or repress the expression of genes. Data sets of matched microarray expression data and histone modification data measured by ChIP-seq exist, but methods for integrative analysis of both data types are still rare. Here, we present a novel bioinformatic approach to detect genes that are differentially expressed between two conditions putatively caused by alterations in histone modification. We introduce a correlation measure for integrative analysis of ChIP-seq and gene expression data and demonstrate that a proper normalization of the ChIP-seq data is crucial. We suggest applying Bayesian mixture models of different distributions to further study the distribution of the correlation measure. The implicit classification of the mixture models is used to detect genes with differences between two conditions in both gene expression and histone modification. The method is applied to different data sets and its superiority to a naive separate analysis of both data types is demonstrated. This GEO series contains the expression data of the Cebpa example data set.
Publication Title
Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models.
Alternate Accession IDs
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 33 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Currently there is no method available to predict response to farnesyltransferase inhibitors (FTI). We analyzed gene expression profiles from the bone marrow of patients from a phase 2 study of the FTI tipifarnib, in older adults with previously untreated acute myeloid leukemia (AML). The RASGRP1:APTX gene expression ratio was found to predict response to tipifarnib with the greatest accuracy. This two-gene ratio was validated by quantitative PCR (QPCR) in the newly diagnosed AML cohort. We further demonstrated that this classifier could predict response to tipifarnib in an independent set of 54 samples from relapsed or refractory AML, with a negative predictive value (NPV) and positive predictive value (PPV) of 92% and 28%, respectively (odds ratio of 4.4). The classifier also predicted for improved overall survival (154 vs 56 days, p = 0.0001), which was shown to be independent of other prognostic factors including a previously described gene expression classifier predictive of overall survival. Therefore, these data indicate that a two-gene expression assay may have utility in categorizing a population of AML patients who are more likely to respond to tipifarnib.
Publication Title
A 2-gene classifier for predicting response to the farnesyltransferase inhibitor tipifarnib in acute myeloid leukemia.
Alternate Accession IDs
Sample Metadata Fields
Sex, Age, Disease
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
SREBF-1c is a transcription factor regulating fatty acid biosynthesis. We have charaterized the impact of the abcence of SREBF-1c on the development of peripheral neuropathy
Publication Title
Lack of sterol regulatory element binding factor-1c imposes glial Fatty Acid utilization leading to peripheral neuropathy.
Alternate Accession IDs
Sample Metadata Fields
Age
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