Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:The work identifies an immune associated cellular, molecular and clinical network involving MDSCs-microRNA101-CtBP2-stem cell core genes, which extrinsically controls cancer stemness and impacts patient outcome. Primary ovarian cancer cells (5 x105) were co-cultured with freshly sorted ovarian cancer associated-MDSCs, peripheral blood lin-CD45+CD33+ cells (5 x105) or medium in a transwell (Corning) for 24 hours. Then, RNA was extracted from the cancer cells by Trizol reagent. The RNAs were applied for microRNA profiling using OpenArray system (Applied Biosystems, Cat# 4470187) (Mestdagh et al., 2008) at University of Michigan Sequencing Core
Project description:With H3K27ac chromatin immunoprecipitation we identified a disease-specific, inflammation-associated, (super-)enhancer signature in JIA patient synovial fluid-derived CD4+ memory/effector T cells. This signature consists of unique pathogenesis-associated epigenetic changes which extend beyond general T cell activation-induced alterations, indicating that disease-specific (super-)enhancers contribute to JIA pathogenesis. In addition, our analysis shows that there is a profound enrichment of JIA-related SNPs in (super-)enhancers in JIA patients compared to controls, illustrating the importance of these non-coding regions for disease pathogenesis. H3K27ac ChIP-sequencing of CD4+ memory/effector T cells derived from peripheral blood (PB) from healthy controls (HC) and PB or synovial fluid (SF) from JIA patients.
Project description:We applied high-throughput sequencing of the IGH repertoire in peripheral blood and bone marrow (BM) of a primary immunodeficiency patient. We obtained 325994 IGH sequences from the BM sample and 72597 IGH sequences from the peripheral blood. After comparing with IMGT/GENE-DB database (http://www.imgt.org), we found obviously increased CDR3 clonality in the patient BM as compared to his peripheral blood. Furthermore, the frequency of IgG transcripts in the patient BM was higher than that in the peripheral blood while the frequency of IgM transcripts was similar.
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:Guillain-Barré syndrome (GBS) is an immune-mediated peripheral neuropathy that debilitates the voluntary and autonomous response of the patient. In this study the transcriptome of peripheral blood mononuclear cells from a GBS patient and her healthy twin were compared to discover possible correlates of disease progression and recovery. Blood samples were collected simultaneously from the Guillain-Barré patient (A) and from her control healthy twin (B) at three different time points during disease progression from hospitalization in the intensive care unit (T1), passing to intermediate care (T2), and at conclusion of locomotion rehabilitation program when the patient was close to abandon the hospital (T3).