Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effect of circRNA on barrier function and the potential value as a biomarker in sepsis

ABSTRACT: Sepsis is one of the main causes of death in critically ill patients with high morbidity and mortality. Circular RNAs (CircRNAs) is aberrantly expressed in many diseases and exhibit roles. However, the expression profiles and functions of circRNAs in sepsis have not yet been fully understood. We then performed gene expression profiling analysis using data obtained from RNA-seq of 2 different cells at the same time point.

ORGANISM(S): Homo sapiens

PROVIDER: GSE204776 | GEO | 2022/05/28

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Whole transcriptome analysis of critically ill elderly patients with sepsis

Project description:Sepsis is a frequent complication in critically ill patients and highly heterogeneous that is associated with high morbidity and mortality rates, especially in the elderly population. Utilizing RNA-Sequencing (RNA-Seq) to analysis biological pathways is widely used in clinical and molecular genetics studies, but in elderly patients with sepsis are still lacking. Hence, we aim to investigate the mortality-relevant biological features and transcriptomic features in elderly patients who were admitted to intensive care unit (ICU) for sepsis.

2022-11-03 | GSE216902 | GEO

Effect of circRNA on barrier function and the potential value as a biomarker in sepsis

Project description:Effect of circRNA on barrier function and the potential value as a biomarker in sepsis

| PRJNA842247 | ENA

Expression of Neutrophil-related genes in patients with early sepsis-induced ARDS

Project description:Clinical study of critically ill patients with sepsis and sepsis-related ARDS with whole blood RNA collected within the first 24 hours of admission Goal of the study was to determine whether biologically relevant genes were identified to be differentially expressed genes in patients with sepsis alone and sepsis with ARDS Prospective observational study, case cohort design

2015-04-01 | E-GEOD-66890 | biostudies-arrayexpress

Transcriptional instability in sepsis

Project description:The temporal evolution of sepsis was monitored by transcriptional profiling of five critically ill children with meningococcal sepsis and sepsis-induced multiple organ failure. Blood was sampled at 6 time points during the first 48 hours of their admission to pediatric intensive care, where the children received standard clinical treatment including organ support and antimicrobial therapy. Striking transcript instability was observed over the 48 hours, with increasing numbers of regulated genes over time. Most notably, proposed biomarkers for sepsis risk stratification also showed expression instability, with varied expression levels over 48 hours. This study demonstrates the extent of the complexity of temporal changes in gene expression that occur during the evolution of sepsis-induced multiple organ failure. Importantly, stratification tools that propose expression of biomarkers must take into account the temporal changes, over the use of single snapshots that may be less informative.

2013-04-03 | E-MEXP-3850 | biostudies-arrayexpress

Genomic biomarkers from urine cells indicate a unique metabolomic difference between sepsis and sterile inflammation (discovery cohort)

Project description:Sepsis is a time-sensitive condition associated with significant mortality, morbidity, and healthcare costs, especially when the diagnosis is delayed. Clinicians often fail to accurately differentiate between sepsis and a sterile systemic inflammatory response syndrome (SIRS) among patients who incur sterile tissue damage from major surgery. Sepsis is driven by a dysregulated host response to pathogens; SIRS is driven by tissue damage. Transcriptomic profiling of whole blood or of specific cellular components of blood have been utilized for discovering underlying etiological differences between sepsis and uninfected SIRS. Blood-based gene microarrays have demonstrated efficacy in differentiating sepsis from SIRS. Urine is often collected from critically ill patients as standard clinical care, but the diagnostic utility of urine sepsis biomarkers is unknown. In this study we used single-center prospective cohorts of SIRS and sepsis patients, we tested the hypothesis that machine learning feature selection from whole genome transcriptomic urinary RNA signatures can identify gene expression patterns that differentiate between sepsis and sterile SIRS within twelve hours of sepsis onset.

2021-07-12 | GSE168442 | GEO

Genomic biomarkers from urine cells indicate a unique metabolomic difference between sepsis and sterile inflammation (validation cohort)

2021-07-12 | GSE168440 | GEO

Immunopeptidomics-based identification of naturally presented non-canonical circRNA-derived peptides

Project description:Circular RNAs (circRNAs) are covalently closed non-coding RNAs lacking the 5’ cap and the poly-A tail. Nevertheless, it has been demonstrated that certain circRNAs can undergo active translation. Therefore, aberrantly expressed circRNAs in human cancers could be an unexplored source of tumor-specific antigens, potentially mediating anti-tumor T cell responses. This study presents an immunopeptidomics workflow with a specific focus on generating a circRNA-specific protein fasta reference. The main goal of this workflow is to streamline the process of identifying and validating human leukocyte antigen (HLA) bound peptides potentially originating from circRNAs. We increased the analytical stringency of our workflow by retaining peptides identified independently by two mass spectrometry search engines and/or by applying a group-specific FDR for canonical-derived and circRNA-derived peptides. A subset of circRNA-derived peptides specifically encoded by the region spanning the back-splice junction (BSJ) were validated with targeted MS, and with direct Sanger sequencing of the respective source transcripts. Our workflow identified 54 unique BSJ-spanning circRNA-derived peptides in the immunopeptidome of melanoma and lung cancer samples. Our novel approach enlarges the catalog of source proteins that can be explored for immunotherapy.

2024-03-20 | PXD043989 | Pride

Transcriptional Profiling in Sepsis-induced Experimental Multiple Organ Dysfunction Syndrome

Project description:Sepsis-induced multiple organ dysfunction syndrome (MODS) is a major cause of morbidity and mortality in critically ill patients and remains impervious to most therapeutic interventions. We utilized a clinically relevant murine model of MODS induced by ventilator-associated pneumonia to systematically delineate pathways dysregulated in lung, liver, and kidney. We focused on processes commonly activated across injured organs and constructed a MODS-associated network based on connectivity among the gene members of these functionally coherent pathways. Our analyses led to the identification of several putative drivers of MODS whose expression was regulated by epidermal growth factor receptor. Our unbiased, integrative method is a promising approach to unravel mechanisms in system-wide disorders afflicting multiple compartments such as sepsis-induced MODS, and guide the discovery of novel putative therapeutic targets.

2014-12-31 | GSE60088 | GEO

Transcription profiling of human peripheral blood mononuclear cells in sepsis

Project description:To identify signature genes that help distinguish (1) sepsis from non-infectious causes of systemic inflammatory response syndrome, (2) between Gram-positive and Gram-negative sepsis. Experiment Overall Design: A total of 70 critically ill patients (46 sepsis and 24 control) were enrolled in a single-centre observational study. Gene-expression profiling was performed using Affymetrix microarray (U133plus2) with 54,675 transcript. Data was divided into a training set (n=35) and a validation set (n=35). A molecular signature was developed in the training set and was then validated in the validation set.

2009-04-12 | E-GEOD-9960 | biostudies-arrayexpress

Transcription profiling ofhuman pediatric systemic inflammatory response syndrome, sepsis, and septic shock spectrum

Project description:Normal children, children with SIRS, children with sepsis, and children with septic shock. Objectives: To advance our biological understanding of pediatric septic shock, we measured the genome-level expression profiles of critically ill children representing the systemic inflammatory response syndrome (SIRS), sepsis, and septic shock spectrum. Experiment Overall Design: Prospective observational study involving microarray-based bioinformatics.

2009-01-05 | E-GEOD-13904 | 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