Myocardial infarction (MI) is one of the most severe manifestations of coronary artery disease (CAD) and the leading cause of death from non-infectious diseases worldwide. It is known, that the central component of CAD pathogenesis is a chronic vascular inflammation. However, the mechanisms underlying the changes that occur in T, B and NK-lymphocytes, monocytes and other immune cells during CAD and MI are still poorly understood. One of those pathogenic mechanisms might be the dysregulation of intracellular signaling pathways in the immune cells.
Collapsing the list of myocardial infarction-related differentially expressed genes into a diagnostic signature.
Sex, Specimen part, Disease stage
View SamplesMotivation: Sample source, procurement process, and other technical variations introduce batch effects into genomics data. Algorithms to remove these artifacts enhance differences between known biological covariates, but also carry potential concern of removing intra-group biological heterogeneity and thus any personalized genomic signatures. As a result, accurate identification of novel subtypes from batch corrected genomics data is challenging using standard algorithms designed to remove batch effects for class comparison analyses. Nor can batch effects be corrected reliably in future applications of genomics-based clinical tests, in which the biological groups are by definition unknown a priori.
Preserving biological heterogeneity with a permuted surrogate variable analysis for genomics batch correction.
Sex, Specimen part, Disease, Disease stage, Race
View SamplesThis series represents isolated alveolar macrophages from human subjects.
A distinctive alveolar macrophage activation state induced by cigarette smoking.
No sample metadata fields
View SamplesPatients with oncogene driven tumors are currently treated with targeted therapeutics such as epidermal growth factor receptor (EGFR) inhibitors. The inhibited oncogenic pathway often interacts with other signaling pathways and alters predicted therapeutic response. Genomic data from The Cancer Genome Atlas (TCGA) demonstrates pervasive molecular alterations to EGFR, MAPK, and PI3K signaling in previously untreated tumors. Therefore, this study uses bioinformatics algorithms to infer the complex pathway interactions that result from EGFR inhibitor use in cancer cells that contain these these common EGFR network genetic alterations. To do this, we modified the HaCaT keratinocyte cell line model of premalignancy to simulate cancer cells with constitutive activation of EGFR, HRAS, and PI3K in a controlled genetic background. We then measured gene expression after treating modified HaCaT cells with three EGFR targeted agents (gefitinib, afatinib, and cetuximab) for 24 hours.
CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.
Cell line, Treatment
View SamplesTo determine the expression AP2-alpha target genes, global gene expression of 7 HNSCC cell lines with and without cetuximab treatment (100 nM, 24 hrs) and the HaCaT keratinocyte cell line was performed.
CoGAPS matrix factorization algorithm identifies transcriptional changes in AP-2alpha target genes in feedback from therapeutic inhibition of the EGFR network.
Specimen part, Cell line
View SamplesInteraction of COP1 and UVR8, which regulate UV-B-induced photomorphogenesis and stress acclimation in Arabidopsis thaliana
Interaction of COP1 and UVR8 regulates UV-B-induced photomorphogenesis and stress acclimation in Arabidopsis.
Age, Treatment, Time
View SamplesChromosomal instability (CIN) is defined by the propensity to acquire structural and/or numerical aberration in the normal cellular karyotype and is often associated with cancer. Autophagy is a catabolic process that leads to the recycling of cellular components that may positively or negatively impact on cancer development and progression, depending on the context. Recent work postulated that the depletion of the pro-autophagic and tumor suppressive protein Beclin 1 triggers CIN by interfering with mitotic chromosome segregation, providing a possible mechanism for how Beclin 1 can act as a tumor suppressor (Fremont et al., PMID: 23478334). Here, we present data supporting the notion that the phenotypes described in Fremont et al., depend on a siRNA off-target effect. The transcriptomic analysis shown here was designed to identify the factor(s) that are responsible for such phenotype.
Beclin 1 is dispensable for chromosome congression and proper outer kinetochore assembly.
Cell line
View SamplesWe established and characterized a new recessive mutant mouse line kta41 with a point mutation in Scube3 at position 882. The mutant line was detected by screening for morphological abnormalities in the Munich ENU-mutagenesis program. The mutation was mapped by microsatellite markers to mouse chromosome 17, between markers D17MIT29 and D17MIT101. Candidate gene approaches failed due to the low recombination frequency and the high number of genes within the mapped interval. Whole genome sequencing approaches revealed a C to A transversion on position 882 in Scube3 that leads to a missense mutation in the protein (Asn294Lys). We did a broad phenotypic analysis of the mutant mouse line in the German Mouse Clinic (GMC), and followed up the found alterations by detailed phenotypic characterization. Scube3-kta41-/- mice show a series of phenotypic alterations, mainly in the skeleton, behavior and neurological abnormalities as well as changes in physiology, metabolism and immune status.
The First Scube3 Mutant Mouse Line with Pleiotropic Phenotypic Alterations.
Sex, Age
View SamplesIn the central nervous system (CNS), the microRNAs (miRNAs), small endogenous RNAs exerting a negative post-transcriptional regulation on mRNAs, are involved in major functions, such as neurogenesis, and synaptic plasticity. Moreover, they are essential to define the specific transcriptome of the tissues and cell types. However, few studies were performed to determine the miRNome of the different structures of the rat CNS, even through rat is a major model in neuroscience. We determined the miRNome profile of the hippocampus, the cortex, the striatum, the spinal cord and the olfactory bulb, by small RNA-Seq. We found a total of 365 known miRNAs' and 90 novel miRNAs expressed in the CNS of the rat. Novel miRNAs seemed to be important in defining structure-specific miRNomes. Differential analysis showed that several miRNAs were specifically enriched/depleted in these CNS structures. Then, we correlated miRNAs' expression with the expression of their mRNA targets by mRNA-Seq. This analysis suggests that the transcriptomic identity of each structure is regulated by specific miRNAs. Altogether, these results suggest the critical role played by these enriched/depleted miRNAs in the functional identities of CNS structures. Overall design: miRNA and mRNA profile of 5 structures of the central nervous system of rat, for each structurewe analyzed three biological replicates
Small RNA-Seq reveals novel miRNAs shaping the transcriptomic identity of rat brain structures.
Specimen part, Cell line, Subject
View SamplesCortical interneurons display a remarkable diversity in their morphology, physiological properties and connectivity. Elucidating the molecular determinants underlying this heterogeneity is essential for understanding interneuron development and function. We discovered that alternative splicing differentially regulates the integration of somatostatin- and parvalbumin-expressing interneurons into nascent cortical circuits through the cell-type specific tailoring of mRNAs. Specifically, we identified a role for the activity-dependent splicing regulator Rbfox1 in the development of cortical interneuron subtype specific efferent connectivity. Our work demonstrates that Rbfox1 mediates largely non-overlapping alternative splicing programs within two distinct but related classes of interneurons. Overall design: RNA-seq of FACS sorted PV+ and SST+ cortical interneuronals at P8 of wt and conditional Rbfox1 Kos
Rbfox1 Mediates Cell-type-Specific Splicing in Cortical Interneurons.
Specimen part, Subject
View Samples