Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of Health donors and SLE patients' PBMC Transcriptomes

ABSTRACT: Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare SLE patients to Health donors PBMCs-derived transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to discovery the potential pathway which can be used as a therapeutic target.

ORGANISM(S): Homo sapiens

PROVIDER: GSE101437 | GEO | 2018/02/05

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

SLE PBMC RNA-seq

Project description:RNA sequencing of systemic lupus erythematosus (SLE) and healthy PBMCs to measure transcriptional changes in gene and endogenous retrovirus expression

2018-11-14 | GSE122459 | GEO

High-throughput sequencing in SLE patients PBMC

Project description:High-throughput sequencing was performed on the PBMCs from SLE patients and healthy control. The purpose of the current study is to identify new genes and pathways of interest involved in the pathogenesis of SLE.

2023-01-13 | GSE211700 | GEO

SLE PBMC RNA-seq

Project description:SLE PBMC RNA-seq

| PRJNA505280 | ENA

LC-MS of PBMC in SLE and healthy control

Project description:Systemic Lupus Erythematosus (SLE) is a systemic autoimmune disease that displays a significant gender difference in terms of incidence and severity. However, the underlying mechanisms accounting for sexual dimorphism remain unclear. To reveal the heterogeneity in the pathogenesis of SLE between male and female patients. PBMC were collected from 15 patients with SLE (7 males, 8 females) and 15 age-matched healthy controls (7 males, 8 females) for proteomic analysis. Enrichment analysis of proteomic data revealed that type I interferon signaling and neutrophil activation networks mapped to both male and female SLE, while male SLE has a higher level of neutrophil activation compared with female SLE. Our findings define gender heterogeneity in the pathogenesis of SLE and may facilitate the development of gender-specific treatments.

2022-08-12 | PXD033144 | Pride

Single-cell RNA sequencing of B cells from healthy donors and SLE patients

Project description:Systemic Lupus Erythematosus (SLE) is an autoimmune disease characterized by pathogenic auto-antibodies that cause end organ damage. B cells are thought to play a central role in the immunopathogenesis of SLE and display several abnormalities in patients, including a strong type I interferon signature as well as lower expression of surface markers including TLR9 and FcγRIIB. To characterize differences in the proportion of distinct B cell subsets as well as intrinsic transcriptomic differences between B cells from healthy donors and SLE patients, we performed single-cell RNA sequencing on B cells isolated from PBMCs of donors. Several notable features were observed, including a strong interferon response signature among SLE B cells, and the expansion of CD11c+T-bet+ B cell subsets in these patients. Additionally, several surface molecules including MHC Class II proteins and surface proteins such as CD74 and CD52 were found to be differentially expressed in B cells isolated from SLE patients. The differences in B cell subset proportion as well as expression of various genes might play a role in B cell mediated pathogenesis of SLE.

2020-12-14 | GSE163121 | GEO

Smart RNA sequencing Facilitates Quantitative Analysis of dermal CD4+ Trm cells between SLE and NC.

Project description:The goals of this study are to compare transcriptome of dermis-derived CD4+ Trm cells between SLE and NC.

2024-08-06 | GSE181613 | GEO

RNA-seq of peripheral blood mononuclear cell (PBMC) derived from normal healthy donors and systemic lupus erythematosus (SLE) patients

Project description:Systemic lupus erythematosus (SLE), also known simply as lupus, is an autoimmune disease. There is no cure for SLE. The mechanism involves an immune response by autoantibodies against a person's own tissues. However, the mechanism underlying imbalance of autoantibodies is not clear. In this experiment, peripheral blood was obtained from normal healthy donors and systemic lupus erythematosus (SLE) patients. Peripheral blood mononuclear cells (PBMC) were separated by Ficoll separation solution. Samples of four (total eight) donors were pooled and Samples of four (total eight) SLE patients were pooled. The aim was to characterize the mRNA profile of SLE patients compared to healthy donors and find the new target of diagnosis or treatment for SLE.

2020-08-14 | E-MTAB-7145 | biostudies-arrayexpress

Transcriptome Analysis of PBMCs in peripheral blood of patients with SLE

Project description:The aim of this study was to analyze the expression profile of circRNAs in PBMCs in peripheral blood of patients with SLE by next-generation sequencing, and to identify potential markers for early diagnosis and prognosis of SLE, and to lay a foundation for further study on the mechanism of this molecule in PBMCs.

2021-07-14 | GSE169080 | GEO

A single cell approach to map cellular subsets involved in Systemic Lupus Erythematosus (SLE) heterogeneity

Project description:In this study, we analyzed the transcriptomes of ~276k single PBMCs from 33 childhood SLE (cSLE) and 11 healthy matched donors (cHD). Our findings were validated in an independent cohort including 8 adult SLE (aSLE) patients and 6 matched controls (aHD; ~132k PBMCs).

2020-09-02 | GSE135779 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).

2014-08-06 | E-GEOD-60119 | biostudies-arrayexpress

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