Project description:We selected humann intervertebral disc samples to perform proteomics analysis. There were 1 case of grade I , 1 case of grade II, 3 cases of grade Ⅲ and 3 cases of grade Ⅳ according to Pfirrmann classfication. RNA seqencing analysis and single-cell RNA sequencing were integrated with proteomics data to identify the hub genes for intervertebral disc degeneration using bioinformatic method.
Project description:We performed single-cell/nuclei RNA-sequencing (sc/snRNA-seq) of 22 treatment-naïve melanoma brain metastases (MBM; 5 samples using scRNA-seq and 17 snRNA-seq) from 21 patients and 10 treatment-naïve extracranial (peripheral) metastases (MPM; all snRNA-seq) from 10 patients . In total, we recovered 145,555 cell transcriptomes in 32 samples including 73,369 cells from MBM and 72,186 from MPM.
Project description:we performed RNA sequencing analysis using 10 tissue samples from human prostate and evaluated efficiency and accuracy of eRNA on mRNA-seq data analysis.
Project description:We directly reprogramed two human iPS cell lines to cardiac cells and collected four groups of samples at four time points (day 0, day 2, day 4, and day 10) during cardiac differentiation for Single-cell RNA sequencing.
Project description:Keloids are dermal fibroproliferative skin disorders caused by abnormal wound healing, resulting in impaired skin function and aesthetic defects. Abnormal fibroblast proliferation and excessive collagen deposition are involved in keloid formation. This study investigated the role of fibroblast differentiation in keloid development. Single-cell and bulk RNA sequencing data of keloids were comprehensively analyzed, and 25 clinically relevant differentially expressed fibroblast-differentiation-related genes (DEFDRGs) were identified. Based on DEFDRGs, a keloid diagnostic classification system comprising three subtypes was constructed, indicating that DEFDRGs could serve as therapeutic targets. Additionally, multiple microarray datasets, protein sequencing data, and immunohistochemical analyses of key markers in clinical keloid samples were used for further verification. In conclusion, this study established a molecular classification of keloids based on fibroblast differentiation, contributing to the further understanding of keloid pathogenesis and providing new insights for diagnosis and treatment.
Project description:Blood samples were collected from all participants in 10-mL EDTA-coated Vacutainer tubes. Plasma was separated by centrifugation at 3,000 rpm for 10 min at room temperature (25°C) within 2 h after blood collection and then centrifuged at 13,000 rpm for 10 min at 4°C to remove debris. Isolated plasma samples were stored at -80°C until use. EV RNA were isolated by affinity-based binding to spin columns using an exoRNeasy Serum/Plasma kit (Qiagen, Hilden, Germany). RNA libraries were prepared for sequencing using SMARTer® Stranded Total RNA-Seq Kit - Pico Input Mammalian. RNA-seq was performed by the Illumina sequencing platform on a 150-bp paired-end run.
