Project description:To explore the microRNAs associated with pathology of early Alzheimer's disease, we detected the microRNA profiles in the plasma of subjects with mild cognitive impairment due to Alzheimer's disease and gender-, age-, education-matched normal control elderly.
Project description:To explore the lncRNAs associated with pathology of early Alzheimer's disease, we detected the lncRNA profiles in the plasma of subjects with mild cognitive impairment due to Alzheimer's disease and gender-, age-, education-matched normal control elderly.
Project description:The experiment is for demonstrating the miRNA profiles in plasma exosomes derived from mild cognitive impairment and Alzheimer's disease patients and healthy donors.
Project description:The project aims to find diagnostic biomarkers for Alzheimer's disease in plasma. We applied discovery based proteomics was used to detect changes in proteins due to Alzheimer's disease using plasma samples collected from four study groups (African American Alzheimer's disease & cognitively normal, non-Hispanic-White Alzheimer's disease & cognitively normal). The data emphesizes the need for inclusion in Alzheimer's disease research.
Project description:Diabetic cardiomyopathy (DbCM) is an important clinical syndrome of diabetes and cause great burden to the people's life and health. Understanding its intrinsic epigenetic and metabolic alterations is critical to develop drugs for the treatment of DbCM. Multiple omics technology provides a feasible way for parsing the epigenetic characteristics and metabolic signatures associated with DbCM. The heart isolated from Male db/db mice and db/m mice were used for the analysis of high-throughput sequencing. Non-targeted metabolomics and amino acid-targeted metabolomics analyses were performed to detect the metabolites in plasma and heart tissues. Additionally, RNA-seq, proteomics, and ATAC-seq were employed to elucidate the underlying transcriptional-metabolic regulatory network mechanism in DbCM.
Project description:Diabetic cardiomyopathy (DbCM) is an important clinical syndrome of diabetes and cause great burden to the people's life and health. Understanding its intrinsic epigenetic and metabolic alterations is critical to develop drugs for the treatment of DbCM. Multiple omics technology provides a feasible way for parsing the epigenetic characteristics and metabolic signatures associated with DbCM. The heart isolated from Male db/db mice and db/m mice were used for the analysis of high-throughput sequencing. Non-targeted metabolomics and amino acid-targeted metabolomics analyses were performed to detect the metabolites in plasma and heart tissues. Additionally, RNA-seq, proteomics, and ATAC-seq were employed to elucidate the underlying transcriptional-metabolic regulatory network mechanism in DbCM.