Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional Landscape for Endoplasmic Reticulum Stress in Alzheimer's Disease Patients-Derived Dermal Fibroblast

ABSTRACT: Numerous studies have identified various risk factors associated with Alzheimer's disease (AD). However, the experimental limitations of disease modeling make it challenging to directly interpret these effects. These limitations include constraints of postmortem samples, animal experiments, and challenges associated with brain tissue studies. Ex-vivo experiments effectively address these issues by enabling patient-specific identification and highlighting potential biomarkers. In addition, patient-derived human dermal fibroblast effectively reflect the molecular anomalies that disrupt cellular homeostasis. This study aimed to use an ex-vivo platform to characterize the transcriptional profile of fibroblasts derived from patients with AD in response to endoplasmic reticulum (ER) stress and propose potential biomarkers. We utilized patient-derived fibroblasts to observe differentially responsive genes to ER stress in both healthy controls (N=22) and patients with AD (N=20) using RNA sequencing.

ORGANISM(S): Homo sapiens

PROVIDER: GSE283128 | GEO | 2025/02/21

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Standards in Patient-Derived Xenograft Experiments

| PRJNA608267 | ENA

Human induced pluripotent stem cells derived from a sporadic Alzheimer's disease patient

Project description:Induced pluripotent stem cell (iPSC) disease models have been generated for a number of diseases, and some have shown their potential utilization for pathological and drug toxicological evaluations. We have generated two hiPSC clones from a non-familial Alzheimerâs patient (AD-iPSCs), which expressed typical undifferentiated markers and fulfilled standard pluripotency assays. Genome-wide microarray analysis revealed that AD-iPSCs are highly similar to control hiPSCs and hESCs, albeit with some noticeable differences in several genes: DNAJC15, GRPR, NAIP and SNORD116-18. Several other biomarkers were differentially expressed in AD-iPSC clones, which were implicated in memory impairment and AD. Furthermore, well characterized familial AD-associated genes (APP, PSEN1, PSEN2) and non-familial (A2M, APOE, GAP43, MAOA, MPO, PLAT, PLAU, SORL1, SNCA) exhibited different expression patterns but were largely reset upon reprogramming into a pluripotent state. Overall, hiPSCs can be good candidates for AD modeling and may represent an in vitro alternative to studying disease mechanisms and drug discovery/toxicology studies. Fibroblasts and two hiPSC clones from a non-familial Alzheimerâs patient (AD-iPSCs) were analyzed. For each cell sample, 2-3 biological replicates were obtained.

2015-12-31 | E-GEOD-31163 | biostudies-arrayexpress

Patient-derived Human Breast Cancer Xenografts

Project description:Breast cancer research is hampered by difficulties in obtaining and studying primary human breast tissue, and by the lack of in vivo preclinical models that reflect patient tumor biology accurately. To overcome these limitations, we propagated a cohort of human breast tumors grown in the epithelium-free mammary fat pad of SCID/Beige and NOD/SCID/IL2γ-receptor null (NSG) mice, under a series of transplant conditions. Both models yielded stably transplantable xenografts at comparably high rates (~23% and ~19%, respectively). Of the conditions tested, xenograft take rate was highest in the presence of a low-dose estradiol pellet. Overall, 32 stably transplantable xenograft lines were established, representing unique 25 patients. Most tumors yielding xenografts were “triple-negative” (ER-PR-HER2+) (n=19). However, we established lines from three ER-PR-HER2+ tumors, one ER+PR-HER2-, one ER+PR+HER2- and one “triple-positive” (ER+PR+HER2+) tumor. Serially passaged xenografts show biological consistency with the tumor of origin, are phenotypic stability across multiple transplant generations at the histological, transcriptomic, proteomic, and genomic levels, and show comparable treatment responses. Xenografts representing 12 patients, including two ER+ lines, showed metastasis to the mouse lung. These models thus serve as a renewable, quality-controlled tissue resource for preclinical studies investigating treatment response and metastasis. The study was designed to determine how stable patient-derived xenografts are across multiple transplant generations in mice, and to determine how closely xenografts established with pre-treatment samples cluster with xenografts established with post-treatment samples. Overall, pre-treatment and post-treatment samples derived from the same patient cluster together, and multiple transplant generations of xenografts derived from an individual patient cluster together.

2013-05-30 | E-GEOD-46106 | biostudies-arrayexpress

Induced pluripotent stem cell-derived neurons from a sporadic Alzheimer disease donor as a model for investigating disease mechanisms

Project description:Gene expression analysis of control fibroblasts (NFH2), one AD-derived fibroblasts (NFH-46), NFH2-derived control-iPS cells (OiPS3, OiPS6), NFH46-derived AD-iPS cells (iPS5 and iPS 26B), hESCs (H1 and H9). Total mRNA obtained from AD fibroblasts (NFH-46) and control fibroblasts (NFH-2), from pluripotent stem cells AD-iPS cells (iPS5 and iPS 26B), control-iPS cells (OiPS3, OiPS6), and hESCs (H1 and H9).

2015-04-21 | E-GEOD-42492 | biostudies-arrayexpress

Induced pluripotent stem cell-derived neurons from a sporadic Alzheimer disease donor as a model for investigating disease mechanisms

2015-04-21 | GSE42492 | GEO

Circulating microRNAs associated to cerebrospinal fluid amyloid-β and phosphorylated tau levels as potential non-invasive biomarkers for mild cognitive impairment and Alzheimer’s disease

Project description:To identify the potential biomarkers of Alzheimer's disease (AD) based on circulating microRNAs (miRNAs), we developed a new approach using feature selection and linear mixed model. The miRNA sequencing data of 105 plasma and 112 serum samples from 112 subjects including 28 AD cases, 63 mild cognitive impairment (MCI), and 21 controls were used to identify cerebrospinal fluid biomarkers associated miRNAs. The potential of these miRNAs as biomarkers of AD or MCI was researched and validated via both internal and external dataset. Patient classification was effectuated in compliance with the NIA-AA criteria for “MCI due to AD” and “Dementia due to AD”.

2024-02-26 | GSE215789 | GEO

Profiling of serum microRNAs in children with atopic dermatitis

Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Serum from 8 children with AD and 8 healthy children were collected

2014-10-17 | E-GEOD-62404 | biostudies-arrayexpress

Profiling of urinary microRNAs in children with atopic dermatitis

Project description:Atopic dermatitis (AD) is the most prevalent chronic inflammatory skin disease in children characterized by dermatitis and pruritus. MicroRNAs (miRNAs) have been shown as great potential biomarkers for disease fingerprints to predict prognostics. We aimed to identify miRNA signature from serum and urine for the prognosis of AD patient by genome-wide miRNA profiling analysis. Urine from 3 children with AD and 3 healthy children were collected

2014-10-17 | E-GEOD-62403 | biostudies-arrayexpress

Ex vivo modelling of pancreatic cancer recapitulates in vivo extracellular matrix signatures and drug responses

Project description:The ex vivo modelling of pancreatic ductal adenocarcinoma (PDAC) using patient-derived cells is a promising tool to predict treatment responses. Matrigel-based organoid and organotypic approaches are limited by their undefined molecular composition, hindering the recapitulation of the tumour’s characteristic desmoplasia, which is known to promote drug resistance. To overcome these limitations, we used self-assembling peptide amphiphiles (PAs) gelled in a minimal extracellular matrix to model the pancreatic tumour microenvironment and to establish 3D multicellular cultures of patient-derived PDAC cells, pancreatic stellate cells and macrophages. Matrisome analysis of 3D cultures demonstrated consistent ECM protein deposition, which was highly reminiscent of the corresponding primary PDAC tissues. The proteomic data obtained was also compared to the corresponding patient-derived xenografts (PDX) in nude mice and Matrigel-based cultures. Characterisation of the chemosensitivity of the cultures revealed realistic treatment responses by PDAC cells in PA hydrogels based on the responses of their corresponding PDX tumours. Histological, transcriptional and functional techniques confirmed these similarities, which were not observed in Matrigel-based cultures. These findings demonstrate the biomimetic nature of PA hydrogels, which enable cultured cells to recreate the PDAC matrisome ex vivo and to respond to chemotherapeutic agents in a predictive manner.

2021-07-06 | PXD013254 | Pride

RNA sequencing of metastatic breast patient derived organoids (PDOs) treated with control and CAF-conditioned media, in the presence and absence of Fulvestrant

Project description:To gain insight into the gene expression profile of breast patient derived organoids (PDOs) under endocrine therapy, and how cancer associated fibroblasts (CAFs) might influence gene expression and stimulate resistance, we performed RNA sequencing on three of the metastatic PDOs treated with control media and CAF-conditioned media, in the presence and absence of Fulvestrant (4-day treatment). These data revealed that Fulvestrant significantly suppressed the ER signature in the PDOs, suggesting that the ER-pathway is still active in these tumors although the patients had relapsed on ER-targeting agents (Tamoxifen, Letrozole).

2023-06-27 | GSE216540 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data