Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA985073 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We used microarray analysis to identify differences in gene expression levels in heart following an 18h (overnight) fast in WT control and KLF15-null mice
2014-01-09 | GSE53231 | GEO
Project description:Introduction: microRNAs are promising candidate breast cancer biomarkers due to their cancer-specific expression profiles. However, efforts to develop circulating breast cancer biomarkers are challenged by the heterogeneity of microRNAs in the blood. To overcome this challenge, we aimed to develop a molecular profile of microRNAs specifically secreted from breast cancer cells. Our first step towards this direction relates to capturing and analyzing the contents of exosomes, which are small secretory vesicles that selectively encapsulate microRNAs indicative of their cell of origin. To our knowledge, circulating exosome microRNAs have not been well evaluated as biomarkers for breast cancer diagnosis or monitoring. Methods: Exosomes were collected from the conditioned media of human breast cancer cell lines, mouse plasma of patient-derived orthotopic xenograft models (PDX), and human plasma samples. Exosomes were verified by electron microscopy, nanoparticle tracking analysis, and western blot. Cellular and exosome microRNAs from breast cancer cell lines were profiled by next-generation small RNA sequencing. Plasma exosome microRNA expression was analyzed by qRT-PCR analysis. Results: Small RNA sequencing and qRT-PCR analysis showed that several microRNAs are selectively encapsulated or highly enriched in breast cancer exosomes. Importantly, the selectively enriched exosome microRNA, human miR-1246, was detected at significantly higher levels in exosomes isolated from PDX mouse plasma, indicating that tumor exosome microRNAs are released into the circulation and can serve as plasma biomarkers for breast cancer. This observation was extended to human plasma samples where miR-1246 and miR-21 were detected at significantly higher levels in the plasma exosomes of 16 breast cancer patients as compared to the plasma exosomes of healthy control subjects. Receiver Operating Characteristic (ROC) curve analysis indicated that the combination of plasma exosome miR-1246 and miR-21 levels is a better indicator of breast cancer than their individual levels. Conclusions: Our results demonstrate that certain microRNA species, such as miR-21 and miR-1246, are selectively enriched in human breast cancer exosomes and significantly elevated in the plasma of breast cancer patients. These findings indicate a potential new strategy to selectively analyze plasma breast cancer microRNAs indicative of the presence of breast cancer.
2016-09-12 | GSE83669 | GEO
Project description:Objective: we aimed to identify circulating microRNAs associated with fast-progressing knee osteoarthritis (OA) as compared to slow-progressing knee OA and non-progressing knee OA using sujects from the Osteoarthritis Initiative (OAI) cohort. MicroRNA libraries were prepared from plasma using the QIAseq miRNA Library Kit (QIAGEN) and sequenced on the Illumina NextSeq550 using a single-end 75-base read protocol to an average depth of 11.6 ± 2.6 SD million reads per sample.
2022-03-31 | GSE183188 | GEO
Project description:Circulating Dirofilaria immitis microRNAs in dog plasma
| PRJNA257659 | ENA
Project description:Osteoarthritis (OA) and rheumatoid arthritis (RA) are prevalent forms of arthritis. Early detection of OA and RA is challenging with existing methods, which can delay effective management. MicroRNAs are small molecules that have emerged as promising disease biomarkers with the potential to improve early detection and differentiation of arthritis subtypes. In this study we aimed to identify distinct circulating microRNAs in plasma from individuals with early OA and early RA, using an unbiased microRNA-sequencing approach. For microRNA-sequencing, plasma samples were collected from three study groups including: (a) early OA (N=12), individuals with knee OA symptoms and radiographic Kellgren-Lawrence grade 0 or 1; (b) early RA (N=6), treatment-naïve individuals with <6 months of RA symptoms in any joint; and (c) non-OA/RA (N=44), individuals with no history of arthritis. RNA isolated from N=62 plasma samples was sequenced using a 75-base single-end read protocol at a depth of approximately 17 ± 2.5 million reads/sample on an Illumina NextSeq2000 sequencer, followed by analysis for known and novel microRNAs using a previously optimized pipeline.
2025-08-05 | GSE283762 | GEO
Project description:This dataset was created in order to evaluate the concordance of miRNA expression between serum and plasma in humans. miRNA expression was quantified in both biological materials using sequencing. Differential expression and correlations analysis were used to evaluate similarities and differences between miRNAs abundance in plasma and serum. Concurrently, miRNA quantification in the subset of these samples was performed by qPCR, the results of which belong to the separate submission to GEO. Generation of this dataset was supported by The Gray Foundation grant “Circulating microRNAs for assessment of risk beyond the BRCA genes and early detection of breast cancer in high-risk families” awarded to Dipanjan Chowdhury and Polish National Research Center grant OPUS “Predictive Potential of Circulating MicroRNA Biomarkers in Patients with High Familial or Genetic Risk of Cancer” (2023/49/B/NZ5/03835) awarded to Wojciech Fendler.
2025-12-16 | GSE299150 | GEO
Project description:Gene expression was analyzed by gene array in liver RNA collected from 11-12 week old male IR floxed, LIRKO, IR/FoxO1 floxed and LIRFKO mice either a) following an overnight 24 hr fast, b) 60 min after dextrose (2 g/kg ip) was administered to overnight fasted mice, or c) 6 hr after fasted mice were allowed to refeed on standard chow.
2017-06-16 | GSE59885 | GEO
Project description:Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle-based circulating plasma proteomics studies have reported varying number of proteins (ca 2000-7000), but it’s unclear whether higher protein number is more informative. Here, we first develop OmniProt – a silica-nanoparticle workflow optimized through systematic evaluation of nanoparticle types and protein corona formation parameters. Next, we present an Astral spectral library for 10,109 protein groups. Using Astral with 60 sample-per-day throughput, OmniProt identifies ca 3000 to 6000 protein groups from human plasma. Notably, platelet/erythrocyte/coagulation-related contamination artificially elevates protein identifications and compromises quantification accuracy in nanoparticle-enriched samples. Through controlled contamination experiments, we identified biomarkers for platelet/erythrocyte/coagulation-related contaminations in nanoparticle-based plasma proteomics. We developed open-access software Baize for contamination assessment. We validated pipeline in 193 patients with CT-indistinct benign nodules or early lung cancers, flagging five contaminated samples. This study reveals contamination alters protein identification/quantification in nanoparticle-based plasma proteomics and presents Baize software to evaluate contamination.
2025-12-12 | PXD068107 | Pride
Project description:Plasma samples from 100 early stage (I to IIIA) non–small-cell lung cancer (NSCLC) patients and 100 non-cancer controls were screened for 754 circulating microRNAs via qRT-PCR, using TaqMan MicroRNA Arrays. Our objective was to identify a panel of circulating microRNAs in plasma that will contribute to early detection of lung cancer.
2015-12-31 | GSE64591 | GEO
Project description:We tested the hypothesis that circulating microRNAs (miRNAs) present in plasma might display a specific signature in patients with intracerebral hemorrhage (ICH). Global miRNA profiles were determined with the Agilent Human miRNA Microarray platform, 027233. ICH patients display a characteristic inflammation-related miRNA profile as compared to healthy controls. Plasma samples were collected from the following 6 subject groups: male ICH patients (n=8), female ICH patients (n=7), male healthy control (n=4), female healthy control (n=4), male ischemic stroke patients (n=8) and female ischemic stroke patients (n=8). Total RNAs isolated from 1 ml plasma were pooled for each group. A fixed volume of RNA sample was withdrawn from each pool and used for microarray detection.
2013-01-19 | E-GEOD-43618 | biostudies-arrayexpress