Project description:MicroRNAs (miRNAs) are a class of small non-coding single-stranded RNAs whose dysregulation of expression plays an important role in cancer development. Circulating miRNAs are novel biomarkers in several cancers. Thus, we explored whether the miRNAs in plasma could be useful clinical biomarkers for multiple myeloma (MM) patients. The expression levels of four miRNAs in plasma were upregulated while eight miRNAs were downregulated in MM patients compared with healthy controls according to microarray. MiRNA microarray was conducted to determine deregulated miRNAs in plasma of 9 MM patients and 7 healthy controls.
Project description:We investigated the spectra of circulating miRNAs in plasma of myelodysplastic syndromes (MDS) patients. Peripheral blood plasma from MDS patients with different risk scores was used for Agilent miRNA expression microarray analysis to define miRNA profile and to find miRNAs with discriminatory levels for lower risk and higher risk MDS. Results were further validated using droplet digital PCR on a larger cohort, enabling absolute quantification of plasma miRNAs and defining miRNAs with prognostic value for the disease. We analyzed expression profile of circulating miRNAs in plasma from 21 individuals: 7 controls and 14 MDS patients.
Project description:MicroRNAs (miRNAs) are a class of small non-coding single-stranded RNAs whose dysregulation of expression plays an important role in cancer development. Circulating miRNAs are novel biomarkers in several cancers. Thus, we explored whether the miRNAs in plasma could be useful clinical biomarkers for multiple myeloma (MM) patients. The expression levels of four miRNAs in plasma were upregulated while eight miRNAs were downregulated in MM patients compared with healthy controls according to microarray.
Project description:TaqMan low density array (TLDA) was carried out to screen of the profiles of circulating miRNAs in pooled plasma samples from healthy controls and pre-operative osteosarcoma patients. The expression changes of circulating miRNAs in osteosarcoma patients were identified. To select candidate plasma miRNAs for osteosarcoma detection and monitoring, we employed TLDA technique to screen expression levels of 739 miRNAs in pooled plasma samples from healthy controls and pre-operative osteosarcoma patients (each pooled from 10 individuals).
Project description:We report the microRNA expression in patients with multiple myeloma and healthy adults. RNA sequencing was performed for circulating exosomes obtained from the serum of 10 MM patients and 5 healthy individuals.
Project description:Multiple myeloma is a multi-stage disease. Based on its laboratory and clinical presentation it can be summarized as MGUS, smoldering myeloma, and multiple myeloma. Previous studies have shown that the expression levels of miRNAs in different stages of the disease are different. This study analyzes the expression levels of miRNAs in healthy individuals and myeloma serum exosomes. We used microarrays to detail the miRNAs expressionin between 12 healthy individuals and 12 multiple myeloma and identified distinct classes of dys-regulated genes.
Project description:Transcription profiling of plasma cells and plasmablasts from patients with primary immune thrombocytopenia after rituximab treatment compared to treatment nave patients or healthy donors
Project description:We investigated the spectra of circulating miRNAs in plasma of myelodysplastic syndromes (MDS) patients. Peripheral blood plasma from MDS patients with different risk scores was used for Agilent miRNA expression microarray analysis to define miRNA profile and to find miRNAs with discriminatory levels for lower risk and higher risk MDS. Results were further validated using droplet digital PCR on a larger cohort, enabling absolute quantification of plasma miRNAs and defining miRNAs with prognostic value for the disease.
Project description:Circulating plasma miRNAs profiling in platelets-free plasma samples from Behçet's disease patients compared with healthy subjects, aimed to both pathogenesis elucidation and candidate non-invasive biomarkers identification.
