The effect of age and progerin expression on alternative splicing in selected tissues in mice
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA279413 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Exon level expression analysis for the HGPS pathological aging study data set to analyze the effect of progerin expression on alternative splicing in keratinocytes of HGPS mice. Analysis of the effect of pathological aging (transgenic progerin expression) on alternative splicing (AS) using exon microarrays to interrogate the differential exon usage of the entire genome of HGPS mice (postnatal day 24 and 35) and their wild-type litter mates. Our results suggests that early expression of progerin impairs developmental splicing but that as progerin accumulates, the number of genes with AS increases, similar to what is observed in aging wild-type mice. This dataset is one of the 2 datasets in the overall study. An additional data set series is available with exon expression analysis of aging wild-type mice to analyze the effect of age on alternative splicing during physiological aging. The two datasets are linked together in the SuperSeries GSE67289. A link to the SuperSeries is available at the bottom of this page. 16 skin keratinocyte samples from 2 different age groups: postnatal day 24 and postnatal day 35, from 8 HGPS samples and 8 genotype negative (wild-type) littermates.
2015-11-01 | E-GEOD-67288 | biostudies-arrayexpress
Project description:Exon level expression analysis for the HGPS pathological aging study data set to analyze the effect of progerin expression on alternative splicing in keratinocytes of HGPS mice. Analysis of the effect of pathological aging (transgenic progerin expression) on alternative splicing (AS) using exon microarrays to interrogate the differential exon usage of the entire genome of HGPS mice (postnatal day 24 and 35) and their wild-type litter mates. Our results suggests that early expression of progerin impairs developmental splicing but that as progerin accumulates, the number of genes with AS increases, similar to what is observed in aging wild-type mice. This dataset is one of the 2 datasets in the overall study. An additional data set series is available with exon expression analysis of aging wild-type mice to analyze the effect of age on alternative splicing during physiological aging. The two datasets are linked together in the SuperSeries GSE67289. A link to the SuperSeries is available at the bottom of this page.
2015-11-01 | GSE67288 | GEO
Project description:Exon level expression analysis for the physiological aging study data set to analyze the effect of age on alternative splicing in different tissues and age groups of wild-type mice Analysis of the effect of age on alternative splicing (AS) using exon microarrays to interrogate the differential exon usage of the entire genome of aging wild-type male C57BL/6J mice (4- and 18-month-old) in five tissues (skin, skeletal muscle, bone, thymus, and white adipose tissue) and in an additional 28-month-old age group, which allowed for age-related AS analysis of the skin, skeletal muscle and bone tissues. We found AS genes with age in all tissue, we show that the number of AS genes increased with age and that AS genes across all tissues are involved in RNA processing. Note: This dataset is one of the 2 datasets in the overall study. An additional data set series is available with exon expression analysis of HGPS mice to analyze the effect of progerin expression on alternative splicing. The two datasets are linked together in the SuperSeries GSE67289. A link to the SuperSeries is available at the bottom of this page.
2015-11-01 | GSE67287 | GEO
Project description:Exon level expression analysis for the physiological aging study data set to analyze the effect of age on alternative splicing in different tissues and age groups of wild-type mice Analysis of the effect of age on alternative splicing (AS) using exon microarrays to interrogate the differential exon usage of the entire genome of aging wild-type male C57BL/6J mice (4- and 18-month-old) in five tissues (skin, skeletal muscle, bone, thymus, and white adipose tissue) and in an additional 28-month-old age group, which allowed for age-related AS analysis of the skin, skeletal muscle and bone tissues. We found AS genes with age in all tissue, we show that the number of AS genes increased with age and that AS genes across all tissues are involved in RNA processing. Note: This dataset is one of the 2 datasets in the overall study. An additional data set series is available with exon expression analysis of HGPS mice to analyze the effect of progerin expression on alternative splicing. The two datasets are linked together in the SuperSeries GSE67289. A link to the SuperSeries is available at the bottom of this page. 65 tissue samples from wild-type male C57BL/6J mice; from 5 different tissues (ventral skin, skeletal muscle, bone, muscle, and white adipose tissue) and from 3 different age groups: 4, 18 and 28 months (for skin skeletal muscle and bone ) and from 2 different age groups: 4 and 18 months (for ventral skin, skeletal muscle, bone, thymus and white adipose tissue)
2015-11-01 | E-GEOD-67287 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the SubSeries listed below.
2015-11-01 | GSE67289 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-11-01 | E-GEOD-67289 | biostudies-arrayexpress
Project description:Hutchinson-Gilford Progeria Syndrome (HGPS) is caused by a mutant LMNA called progerin. To determine the mechanism of STXBP5 on progerin, we over expressed STXBP5 or knocked down STXBP5 in HA-progerin HEK293 cells, then analyzed the effect on the expression of coding genes. In this study, we identified STXBP5 as an influencing factor for HA-progerin HEK293 cells. Lowering the expression of STXBP5 may be a new therapeutic strategy for treating age-related phenotypes in HGPS.
2024-09-14 | GSE243095 | GEO
Project description:The premature aging disease Hutchinson-Gilford Progeria Syndrome (HGPS) is caused by constitutive production of progerin, a mutant form of the nuclear architectural protein lamin A1. Progerin is also sporadically expressed in wild type cells and has been linked to physiological aging. HGPS cells exhibit extensive nuclear defects including abnormal chromatin structure and increased DNA damage. At the organismal level, HGPS affects several tissues particularly of mesenchymal origin. How the cellular defects of HGPS cells lead to the organismal defects has been unclear. To begin to unravel how progerin leads to disease phenotypes, we analyzed time-dependent changes in transcriptional profiles in response to progerin expression in a hTERT-immortalized skin fibroblast cell line expressing either GFP-progerin or the GFP-wt lamin A control Keywords: time course, cell line comparison
2008-02-09 | GSE10123 | GEO
Project description:Reprogramming somatic cells to induced pluripotent stem cells (iPSCs) sets their identity back to an embryonic age. This presents a fundamental hurdle for modeling late-onset disorders using iPSC-derived cells. We therefore developed a strategy to induce age-like features in multiple iPSC-derived lineages and tested its impact on modeling Parkinson’s disease (PD). We first describe markers that predict fibroblast donor age and observed the loss of these age-related markers following iPSC induction and re-differentiation into fibroblasts. Remarkably, age-related markers were readily induced in iPSC-derived fibroblasts or neurons following exposure to progerin including dopamine neuron-specific phenotypes such as neuromelanin accumulation. Induced aging in PD-iPSC-derived dopamine neurons revealed disease phenotypes requiring both aging and genetic susceptibility such as frank dendrite degeneration, progressive loss of tyrosine-hydroxylase expression and enlarged mitochondria or Lewy body-precursor inclusions. Our study presents a strategy for inducing age-related cellular properties and enables the modeling of late-onset disease features. Induced pluripotent stem cell-derived midbrain dopamine neurons from a young and old donor overexpressing either GFP or Progerin.
2014-01-23 | E-GEOD-52431 | biostudies-arrayexpress
Project description:Disassembly of the nuclear envelope is an essential feature of mammalian cell division controlled by the phosphoryaltion of lamins via cyclin dependent kinases. This process is affected in cells expressing progerin, a lamin A allele found in patients with Hutchinson-Gilford Progeria syndrome. Progerin can inhibit cell proliferation of both normal and tumor cells and this property is largely magnified if its phosphorylation at serine 22 is inhibited by a genetic mutation to generate S22A-progerin. Surprisingly, S22A-progerin acquires the ability to trigger cellular senescence in tumor cells with mutations in the p53 and RB tumor suppression pathways suggesting a novel pathway to control the growth of malignant tumors. We used microarrays to characterize the gene expression changes induced by the S22A-progerin in comparison with the wt-progerin in U-2 OS cell line. U-2 OS cells were infected with a retroviral vector that express S22A-progerin or wt-progerin. After 4 days of infection, RNA was extracted from three independents replicas of each condition. Total RNA was send to Genome Quebec service for hybridization with Affymetrix microarrays.
2014-03-01 | E-GEOD-51349 | biostudies-arrayexpress