SOCS1 plays a role in cellular senescence. Knocking down SOCS1 in senescence induced by the STAT5 oncogene results in senescence bypass by preventing p53 activation
SOCS1 regulates senescence and ferroptosis by modulating the expression of p53 target genes.
No sample metadata fields
View SamplesExpression data from xenograft in BALB/c 6-wk-old nude mice with PC3 prostate cancer cells stably expressing PML or a vector control after treatment of the mice with palbociclib (100mg/kg/day diluted in sodium lactate 50mM pH4 given by gavage) during 5 consecutive days
A CDK4/6-Dependent Epigenetic Mechanism Protects Cancer Cells from PML-induced Senescence.
Specimen part, Cell line
View SamplesThe expression of the forkhead transcription factor CHES1, also known as FOXN3, is reduced in many types of cancers. In vitro, CHES1 expression suppresses cell proliferation in tumor cell lines but not in normal cells. Conversely shRNA-mediated depletion of CHES1 increases tumor cell proliferation.
CHES1/FOXN3 regulates cell proliferation by repressing PIM2 and protein biosynthesis.
Cell line
View SamplesMetformin reduces the incidence of cancer in diabetics or in animal models. At the cellular level, the effects of metformin include the inhibition of complex I of the mitochondrial electron transport chain, a reduction in ATP levels and the activation of the energy sensor AMP kinase. Metformin also prevents the production of reactive oxygen species in primary human cells expressing oncogenic ras and the DNA damage associated to the process.
Metformin inhibits the senescence-associated secretory phenotype by interfering with IKK/NF-κB activation.
Sex, Specimen part, Treatment
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesThe aim of this study is to identify, for the first time, the genome-wide DNA methylation profiles of human articular chondrocytes from OA and healtly cartilage samples.
Genome-wide DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients.
Sex, Age, Specimen part, Disease, Disease stage
View SamplesPrevious results from a genome scan in a F2 Iberian by Meishan intercross showed several chromosome regions associated with litter size traits. In order to identify candidate genes underlying these QTL we have performed an ovary gene expression analysis during pregnancy. F2 sows were ranked by their estimated breeding values for prolificacy, the six sows with higher EBV (HIGH prolificacy) and the six with lower EBV (LOW prolificacy) were selected. Samples were hybridized to Affymetrix porcine expression microarrays. The statistical analysis with a mixed-model approach identified 221 differentially expressed probes, representing 189 genes. These genes were functionally annotated in order to identify the genetic pathways overrepresented. Among the most represented functional groups the first one was immune system response activation against external stimulus. The second group was made up of genes which regulate the maternal homeostasis by complement and coagulation cascades. The last group was involved on lipid and fatty acid enzymes of metabolic processes, which participate in steroidogenesis pathway. In order to identify powerful candidate genes for prolificacy, the second approach of this study was merging microarray data with position information of QTL affecting litter size, previously detected in the same experimental cross. According to this, we have identified 27 differentially expressed genes co-localized with QTL for litter size traits, which fulfill the biological, positional and functional criteria.
Differential gene expression in ovaries of pregnant pigs with high and low prolificacy levels and identification of candidate genes for litter size.
Specimen part
View SamplesArtificial selection has resulted in animal breeds with extreme phenotypes. As an organism is made up of many different tissues and organs, each with its own genetic programme, it is pertinent to ask what are the relative contributions of breed or sex when assessed across tissues.
Transcriptome architecture across tissues in the pig.
Age
View SamplesHuman myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
No sample metadata fields
View SamplesHuman myelopoiesis is an exciting biological model for cellular differentiation since it represents a plastic process where pluripotent stem cells gradually limit their differentiation potential, generating different precursor cells which finally evolve into distinct terminally differentiated cells. This study aimed at investigating the genomic expression during myeloid differentiation through a computational approach that integrates gene expression profiles with functional information and genome organization. The genomic distribution of myelopoiesis genes was investigated integrating transcriptional and functional characteristics of genes. The analysis of genomic expression during human myelopoiesis using an integrative computational approach allowed discovering important relationships between genomic position, biological function and expression patterns and highlighting chromatin domains, including genes with coordinated expression and lineage-specific functions.
Motif discovery in promoters of genes co-localized and co-expressed during myeloid cells differentiation.
No sample metadata fields
View Samples