Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Development of serum exosomal miRNA signatures for persistent organ failures in early-phase of acute pancreatitis

ABSTRACT: To identify and assess exosomal miRNA signatures with potential to predict individuals with persistent organ failure (POF) at early phase of acute pancreatitis. We analyzed serum collected from 790 AP patients. In discovery cohort, we profiled exosomal miRNAs in sera sampled from AP patients with or without POF (5 vs. 5) using microarrays and identified a list of miRNAs with increased expression pattern. Of notes, 10 AP samples with/without POF are collected within 24 hours after AP onset and later did/didn’t develop POF. We further constructed a miRNA classifier (Cmi) through logistic regression and identified certain individual miRNAs (OR>2) as candidate predictive markers in the training cohort of 227 AP samples. Predictive performance of these markers were validated in three independent cohorts (255, 226 and 78 AP samples respectively).

ORGANISM(S): Homo sapiens

PROVIDER: GSE136030 | GEO | 2024/08/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Airway Exosomal miRNA predicts Bronchopulmonary Dysplasis in Extremely Preterm Infants

Project description:We conducted a prospective cohort study with independent Discovery and Validation cohorts, to formulate predictive biomarkers for Bronchopulmonary Dysplasia in extremely preterm infants. Tracheal aspirate samples were collected at birth from extremely preterm infants. Exosomes were extracted from tracheal aspirates and total RNA was extracted from these exosomes from individual samples. miRNA profiling for all ~ 800 miRNAs was conducted on each sample by nanostring platform. This study found that a distinct airway exosomal miRNA sigrature at birth (decreased miR 876-3p) predicts future development of severe Bronchopulmonary Dysplasia in extremely preterm infants.

2017-12-29 | GSE108604 | GEO

Combination of four serum exosomal miRNAs as novel diagnostic biomarkers for early-stage gastric cancer

Project description:The aim of this study was to identify and evaluate exosomal miRNAs in serum as early diagnostic markers for gastric cancer (GC). Methods: Using next-generation sequencing (NGS) and bioinformatics, we identified candidate serum exosomal miRNA markers for early detection of GC in patients. The candidates were further validated by qRT-PCR in 50 newly recruited early-stage GC patients and matched healthy individuals. Results: NGS revealed that the average mappable reads in the RNA libraries were about 6.5 million per patient. A total of 66 up and 13 down-regulated exosomal miRNAs were found in the screened cohort after removal of log2 transformed read counts <5 and p >0.05. In the validation cohort, by comparing candidate exosomal miRNAs levels in early-stage GC patients and healthy individuals, higher levels of miR-92b-3p, let-7g-5p, miR-146b-5p and miR-9-5p were found to be significantly associated with GC. Diagnostic power of the combined panels of the exosomal miRNAs or the combination of exosomal miRNAs and CEA outperformed that of single exosomal miRNA marker for establishing a diagnosis of early-stage GC. In addition, serum levels of exosomal miR-92b-3p were significantly associated with low adhesion, let-7g-5p and miR-146b-5p were significantly correlated with nerve infiltration, and miR146b-5p was statistically correlated with tumor invasion depth in early-stage GC. Conclusions: Serum exosomal miR-92b-3p, -146b-5p, -9-5p, and let-7g-5p may serve as potential noninvasive biomarkers for early diagnosis of GC. Further validation of these candidate exosomal miRNAs in larger experimental cohorts are required in order to confirm the diagnostic values.

2020-02-21 | GSE130654 | GEO

RNA sequencing quantitative analysis of exosome miRNAs in plasma in Metastatic renal cell carcinoma (mRCC)

Project description:Purpose: Since clinical characteristics are often inaccurate and subjective, we evaluated the prognostic value of plasma exosomal miRNAs to predict survival in metastatic renal cell cancer (mRCC). Methods: RNA sequencing was performed to identify candidate exosomal miRNAs associated with overall survival in a screening cohort of 41 mRCC patients.Candidate miRNAs were further evaluated for prognosis by TaqMan quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) in a follow-up cohort of 65 mRCC patients. Results: RNA sequencing in screening cohort generated 3.75 million mappable reads per patient, of those with normalized read counts>8 RPM (reads per million), 93.8% were mapped to miRNAs for a total of 322 unique miRNAs. Cox regression analysis identified 20 miRNAs that were associated with overall survival (OS, FDR< 0.05). Among these 20 significant miRNAs, three were validated in a separate independent cohort of 65 patients with mRCC.Patients with lower expression of miR-26a1-3p, miR-let-7i-5p and miR-615-3p had a significantly poorer OS than those with higher expression. Multivariate model by combining miR-let-7i-5p and the Memorial Sloan-Kettering Cancer Center (MSKCC) score significantly improved survival prediction. Conclusions: Our study identifies multiple plasma exosomal miRNAs showing association with survival in mRCC stage patients. Multivariate model by combining miR-let-7i-5p and the Memorial Sloan-Kettering Cancer Center (MSKCC) score significantly improved survival prediction.

2017-10-31 | GSE93175 | GEO

Exosomal miR-1290 and miR-375 as prognostic markers in castrate resistant prostate cancer

Project description:Extracellular microRNAs (miRNAs) embedded in circulating exosomes may serves as prognostic biomarkers in cancer. This study was performed to identify and evaluate plasma exosomal miRNAs for prognostication in castration resistant prostate cancer (CRPC). RNA sequencing was performed to identify candidate exosomal miRNAs associated with overall survival in a screening cohort of 23 CRPC patients. Candidate miRNAs were further evaluated for prognosis using qRT-PCR in a follow-up cohort of 100 patients. Cox regression and Kaplan–Meier survival curve analysis were used to evaluate prognostic value of miRNA candidates with and without incorporation of clinical prognostic factors (age, Gleason score and time from androgen deprivation therapy to clinical progression). In the screening cohort, we obtained ~6.80 million mappable RNA reads per patient. Of those with normalized read counts ? 5, 43% were mapped to miRNAs for a total of 375 known and 57 novel miRNAs. Cox regression analysis identified an association of miR-1290, -1246, and -375 with overall survival (FDR<0.1). Of those, higher levels of miR-1290 and -375 were verified to be significantly associated with poor overall survival (p<0.004) in the follow-up cohort. The miR-1290/-375-based prediction model showed better performance with time-dependent area under the curve (AUC) =72% compared to clinical variable-based model with AUC=65%. Plasma exosomal miR-1290 and miR-375 are promising prognostic biomarkers for CRPC patients. Prospective validation is needed for further development of these candidate miRNAs.

2014-12-30 | GSE58410 | GEO

Identification of exosomal microRNA panel as diagnostic and prognostic biomarker for small cell lung cancer [mRNAseq_BEAS2B]

Project description:Small cell lung cancer (SCLC) has an exceptionally poor prognosis; as most of the cases are initially diagnosed as extensive disease with hematogenous metastasis. Therefore, the early diagnosis of SCLC is very important and may improve its prognosis. To investigate the feasibility of early diagnosis of SCLC, we examined exosomal microRNAs (miRNAs) present in serum obtained from patients with SCLC. Exosomes were isolated in serum from patients with SCLC and healthy individuals and were characterized using particle size and protein markers. Additionally, miRNA array was performed to define SCLC-specific exosomal miRNAs. The miRNAs identified in the miRNA array results were validated using a large cohort. Gene ontology analysis has revealed that a panel of miRNAs are linked to various oncogene pathways and nervous system development. Changes in mRNA expression when target miRNAs were introduced into BEAS2B cells strongly indicated the presence of lung diseases, including lung cancer. Additionally, miRNA panels are significantly associated with poor prognosis. In conclusion, our study identified SCLC-specific exosomal miRNAs, and the miRNAs panel may serve as a diagnostic and prognostic marker for SCLC.

2023-08-31 | GSE232904 | GEO

Identification of exosomal microRNA panel as diagnostic and prognostic biomarker for small cell lung cancer [miRNAseq_exosome]

2023-08-31 | GSE232903 | GEO

Genome-wide binding of Cmi in Drosophila

Project description:Cmi (also known as Lpt) is the PHD finger domain-containing subunit of the Drosophila MLR COMPASS (Cmi-Trr) complex. ChIP-seq analysis of Cmi at different stages of Drosophila development suggests dynamic genome localization of the Cmi/MLR complex on enhancers and promoters during Drosophila development.

2020-04-20 | GSE143747 | GEO

Identification of Exosomal microRNA signature by liquid biopsy in Hereditary Hemorrhagic Telangiectasia patients

Project description:Hereditary hemorrhagic telangiectasia (HHT) is a rare autosomal dominant vascular dysplasia characterized by epistaxis, mucocutaneous telangiectases, and arteriovenous malformations (AVM) in visceral organs. In this study, we carried out a liquid biopsy consisting in the isolation of total RNA from plasma exosomes samples from HHT type 1 (HHT1 group) and type 2 (HHT2 group) patients, and healthy relatives (Control group). Upon gene expression data processing and normalization, a bioinformatics analysis was performed for the study of principal components, hierarchical clustering and pairwise comparisons between HHT samples and control group. Results were evaluated in a further validation cohort of HHT and healthy donors by real time PCR and the diagnosis value of exosomal miRNA determined by the ROC curves analysis. We found that exosomal miRNA expression signature clearly distinguishes among healthy and HHT samples and types. Thus, we identified a disease-associated molecular fingerprint of 35 miRNAs over-represented, being 8 specifics for HHT1 and 11 for HHT2; and 30 under-represented, including 9 distinctive for HHT1 and 9 for HHT2. These exosome-transported miRNAs have diagnosis value for HHT, and even allow to distinguish between HHT1 and HHT2.

2021-09-28 | GSE179382 | GEO

Murine cells: MSC+LLC-serum-exosome vs LLC-serum-exosome

Project description:Exosomal miRNAs including 86 exosomal miRNAs were significantly increased and 354 exosomal miRNAs were significantly decreased in the co-injection group compared to LLC injection alone through expression profiling of a total of 1903 genes.

2019-04-02 | GSE119887 | GEO

Maternal Circulating Exosomal miR-185-5p as Non-invasive Biomarker for the Prediction of Recurrent Pregnancy Loss.

Project description:Pregnancy losses usually happening suddenly and are irreversible, this study aims to find a predictive biomarker of the upcoming pregnancy loss. We collected serum exosomes from pregnant women prospectively from 6 to 8 weeks gestation and divided the patients into ongoing pregnancy (OP) group, sporadic pregnancy loss (SPL) group, and recurrent pregnancy loss (RPL) group according to the pregnancy progress and pregnancy history. Then we performed genome-wide miRNA expression profiling by small RNA sequencing to identify differences between patients who are going to lose pregnancy and who would not. The results showed there were 68 miRNAs differently expressed among three groups. When comparing RPL group with OP group, there was a set of 43 miRNAs differentially expressed including 25 miRNAs up-regulated in the RPL group and 18 miRNAs down-regulated. Compared SPL group with OP group, there was a set of 76 miRNAs differentially expressed including 24 miRNAs up-regulated in the SPL group and 52 miRNAs down-regulated. Moreover, we combined RPL group and SPL group into PL group, and then compared PL group with OP group, there were 81 miRNAs expressed differently while 60 were up-regulated and 21 were down-regulated. Our study found that there were significant differences in the expression levels of exosomal miRNAs in peripheral blood between patients who continued pregnancy and those who were about to miscarriage, suggesting that maternal peripheral blood exosomal miRNAs could be used as predictive molecular markers for miscarriage.

2024-04-25 | GSE200122 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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