Browse
Submit Data
Databases
API
Help

Dataset Information

24 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-51518

ABSTRACT: RNA-seq from primary skin fibroblasts, derived of matched pairs of middle and late donor age

OTHER RELATED OMICS DATASETS IN: PRJNA223347PRJNA223349PRJNA223350GSE51519

PROVIDER: E-GEOD-51518 | ExpressionAtlas | 2019-05-14

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-GEOD-51518-analysis-methods.tsv	Tabular
	E-GEOD-51518-analytics.tsv	Tabular
	E-GEOD-51518-analytics.tsv.undecorated	Tabular
	E-GEOD-51518-analytics.tsv.undecorated.unrounded	Tabular
	E-GEOD-51518-analytics.tsv.unrounded	Tabular

Items per page:

1 - 5 of 24

Similar Datasets

Homo sapiens

Project description:RNA-seq from primary skin fibroblasts, derived of matched pairs of middle and late donor age

| PRJNA223350 | ENA

Homo sapiens

Project description:Chip-chip and MIRA-chip from primary skin fibroblasts, derived of matched pairs of early and late donor age

| PRJNA223349 | ENA

Chip-chip and MIRA-chip from primary skin fibroblasts, derived of matched pairs of early and late donor age

Project description:Aging signatures developed from a longitudinal study design are dominated by reduced transcription of genes involved in protein synthesis. Aging is a multifactorial process where the impact of singular components still remains unclear. Furthermore, previous studies were focused on measuring specific traits such as DNA -methylation and used categorical group-wise designs, unable to capture intra-individual signature changes. Here we have developed a new method for a longitudinal, age-related analysis combining the merits of a pair-wise design with the statistical power of gene set enrichment analysis. We present an integrated analysis, including transcriptional changes and genome-wide epigenetic changes in DNA- methylation, H3K4- and H3K27- histone methylation in promoter regions. We tested our method on a rare collection of paired skin fibroblast samples from male middle age to old age transitions and obtained functional, age-related clusters. By using a set of only ten individuals, we could demonstrate a high overlap of functional terms to previously established tissue-independent age signatures including extracellular matrix, apoptosis and oxidative stress. Importantly, we identify protein translation-related processes as the main cluster of age-driven, specific down regulation. H3K4me3, H3K27me3 and DNA- methylation longitudinal aging profiles from primary skin fibroblasts from matched pairs of early (E) and late (L) stages in life.

2014-10-23 | E-GEOD-51517 | biostudies-arrayexpress

RNA-seq from primary skin fibroblasts, derived of matched pairs of middle and late donor age

Project description:Aging signatures developed from a longitudinal study design are dominated by reduced transcription of genes involved in protein synthesis Aging is a multifactorial process where the impact of singular components still remains unclear. Furthermore, previous studies were focused on measuring specific traits such as DNA -methylation and used categorical group-wise designs, unable to capture intra-individual signature changes. Here we have developed a new method for a longitudinal, age-related analysis combining the merits of a pair-wise design with the statistical power of gene set enrichment analysis. We present an integrated analysis, including transcriptional changes and genome-wide epigenetic changes in DNA- methylation, H3K4- and H3K27- histone methylation in promoter regions. We tested our method on a rare collection of paired skin fibroblast samples from male middle age to old age transitions and obtained functional, age-related clusters. By using a set of only ten individuals, we could demonstrate a high overlap of functional terms to previously established tissue-independent age signatures including extracellular matrix, apoptosis and oxidative stress. Importantly, we identify protein translation-related processes as the main cluster of age-driven, specific down regulation. Evaluation of transcriptional changes in matched sample pairs of primary skin fibroblasts from middle and old age.

2014-10-23 | E-GEOD-51518 | biostudies-arrayexpress

Differences in gene expression among AMD and non-AMD patients arise after initial fibroblasts are reprogrammed to iPSC and differentiation into RPE

Project description:Comparing fibroblasts and derived -iPSC and - RPE cells from human AMD and non-AMD donors Retinal pigment epithelium (RPE) generated from skin biopsies of donors with age-related macular degeneration (AMD) exhibit a disease phenotype and a distinct transcriptome compared to age-matched controls. We investigated whether similar differences existed in the skin fibroblasts and induced pluripotent stem cells (iPSCs) derived from them. Hierarchical cluster and principal component analyses revealed significant overlap in the transcriptome of fibroblasts of AMD and non-AMD donors. After reprogramming, iPSCs exhibited slight differences. In contrast, the transcriptome of RPE derived from AMD and normal donors segregated into two distinct clusters. Differences in the expression of specific genes that were evident between normal and AMD-derived RPE were not observed in fibroblasts or iPSCs. Mitochondrial respiration was reduced in RPE from AMD patients but not in fibroblast or iPSCs. RPE derived from AMD patients have a distinct transcriptome and phenotype compared to controls that is not observed in their corresponding skin fibroblasts or iPSCs.

2024-04-23 | GSE149202 | GEO

Transcription profiling of peripheral blood or primary finroblast cultures from choroideremia patients to determine if loss-of-function mutations in REP-1 affect intracellular vesicle transport in fibroblasts and monocytes of CHM patients

Project description:Choroideremia (CHM) is a progressive X-linked retinopathy caused by mutations in the CHM gene, which encodes Rab escort protein-1 (REP-1), an escort protein involved in the prenylation of Rabs. Under-prenylation of certain Rabs, as a result of loss of function mutations in REP-1, could affect vesicular trafficking, exocytosis and secretion. To evaluate this hypothesis, intracellular vesicle transport, lysosomal acidification and rates of proteolytic degradation were studied in monocytes (CD14+ fraction) and primary skin fibroblasts from the nine age-matched controls and thirteen CHM patients carrying 10 different loss-of-function mutations. expression data were collected from 6 CHM patients' monocytes and 4 CHM primary fibroblasts cultures, monocytes or FB from 5 normal age-matched subjects were used as a control

2010-02-21 | E-GEOD-17549 | biostudies-arrayexpress

Human Cardiac Fibroblasts in Producing Cell-Derived Matrices

Project description:We reported a specialized protocol to produce human cardiac cell-derived matrices without the introduction of exogenous matrix proteins. Human cardiac fibroblasts cultured under conditions to produced cell-derived matrices were harvested at the beginning, middle and completion of the experiment - corresponding to days 0, 5 and 10. Fetal and adult human cardiac fibroblasts were cultured densely in the presence of ficoll as a macromolecular crowder on the adhesive biopolymer l-polydopamine, and sampled throughout matrix deposition to determine the age-specific responses of primary human cardiac fibroblasts to macromolecular crowders and enhanced matrix deposition.

2021-07-25 | GSE155225 | GEO

Cancer-associated fibroblasts in T1 colorectal cancer

Project description:Characterization of gene expression profiles of primary human patient-derived T1 colorectal cancer-associated fibroblasts (T1CAFs) and patient-matched normal fibroblasts (NFs) by bulk RNA sequencing

2023-04-11 | GSE200660 | GEO

Predicting age from the transcriptome of human dermal fibroblasts

Project description:There is a marked heterogeneity in human lifespan and health outcomes for people of the same chronological age. Thus, one fundamental challenge is to identify molecular and cellular biomarkers of aging that could predict lifespan and be useful in evaluating lifestyle changes and therapeutic strategies in the pursuit of healthy aging. Here, we developed a computational method to predict biological age from gene expression data in skin fibroblast cells using an ensemble of machine learning classifiers. We generated an extensive RNA-seq dataset of fibroblast cell lines derived from 133 healthy individuals whose ages range from 1 to 94 years, and 10 patients with Hutchinson-Gilford Progeria Syndrome (HGPS), a premature aging disease. On this dataset, our method predicted chronological age with a median error of 4 years, outperforming algorithms proposed by prior studies that predicted age from DNA methylation [4–8] and gene expression data [6,9] for fibroblasts. Importantly, our method consistently predicted higher ages for Progeria patients compared to age-matched controls, suggesting that our algorithm can identify accelerated aging in humans. These results show that the transcriptome of skin fibroblasts retains important age-related signatures. Our computational tool may also be applicable to predicting age from other genome-wide datasets.

2018-11-16 | GSE113957 | GEO