Project description:Rituximab (RTX) is widely used as a first-line therapeutic strategy for patients affected by immune thrombocytopenia (ITP). However, a large proportion of patients relapse after successful treatment. The present NGS assay was done to help find the cause for this relapse on the immune repertoire level. Therefore, we performed antibody repertoire sequencing for three RTX relapse patients with subsequent mutation and clonal analysis, as well as for two patients with ongoing ITP and two healthy donors (HD) with subsequent mutation analysis.
Project description:Transcription profiling of plasma cells and plasmablasts from patients with primary immune thrombocytopenia after rituximab treatment compared to treatment na�ve patients or healthy donors
Project description:Rituximab (RTX) is widely used as a first-line therapeutic strategy in B cell-mediated autoimmune diseases. However, a large proportion of patients either do not respond to the treatment or relapse during B cell reconstitution. Primary immune thrombocytopenia (ITP) is a prototypic B cell mediated autoimmune disease in which pathogenic antibodies directed against the platelet membrane glycoprotein IIb-IIIa (GPIIbIIIa) lead to platelet destruction by macrophages in the spleen. In ITP, RTX-mediated B-cell depletion leads to an immediate clinical response in 50% of patients but 80% of patients will subsequently relapse in the next following months. Patients failing to respond or relapsing after RTX treatment are splenectomized when alternative therapies are inefficient or unavailable. Therapeutic splenectomy, resulting in a durable platelet response in 60-70 % of ITP patients, offers a unique access to study the autoimmune response in the spleen. To understand the cellular basis of disease's relapse in secondary lymphoid organs in humans, memory B cells were sorted and analyzed by scRNAseq from the spleen of three different groups of splenectomized ITP patients: 1) Patients that achieved a complete response after a course of RTX and relapsed during B-cell reconstitution (hereafter referred to as “RTX relapse” patients), 2) patients with primary failure of RTX, i.e. who did not respond to treatment at the time of B-cell depletion (“RTX failure” patients), 3) patients with active ITP that were not treated with RTX (“ITP” patients). All were compared with sorted splenic memory B cells from organ donors with no immune disease who died from stroke or head trauma, hereafter referred to as healthy donors (“HD” patients). We also included in this analysis splenic memory B cells from children with sickle cell disease that underwent splenectomy and are known to have a high frequency of B cell activation secondary to classical childhood infections and vaccinations, reflected by an increased number of GC. Single-cell mRNA sequencing was performed according to an adapted version of the SORT-seq protocol (Muraro et al., 2016, Cell Systems 3, 385–394), with cDNA libraries generation, sequencing and reads alignment performed at Single Cell Discoveries (Utrecht, Netherlands).
Project description:Purpose: Human primary synovial fibroblasts extracted from the knee were established as an ex vivo infection model for Chikungunya Virus. The cell-intrinsic immune response was determined using RNA-seq of infected and uninfected fibroblasts from healthy donors and donors with an osteoarthritic background. Methods: Fibroblasts of four osteoarthritic and two healthy donors were infected with CHIKV strain LR2006-OPY at an MOI of 10 in the presence or absence of the CHIKV neutralizing antibody C9 and total RNA was extracted at 24 hours post infection. Deep sequencing with paired-end reads was performed using an Illumina platform and data was analyzed with CLC Genomics Workbench 12 (QIAGEN) by mapping the human reads onto the hg19 reference genome scaffold (GCA_000001405.28). Unmapped reads not matching the human genome were subsequently mapped onto the CHIKV genome LR2006_OPY (DQ443544.2). Results: For osteoartritic fibroblasts ~25-35 Mio reads per sample, for healthy donor fibroblasts ~50-60 Mio reads per sample were achieved. Analysis revealed no major differences in the resting or infection-induced transcriptome (R2 = 0.9085 and 0.9086, respectively), yet some non-inflammation related pathways were significantly different regulated as determined by Gene Ontology analysis. Conclusion: Osteoarthritic fibroblasts were found to be an accessible source of primary cells suitable for studying CHIKV infection and pathophysiology. The cells did not majorly differ from the rarely avaiblabe healthy donor fibroblasts on the transcriptomic level, and did not show signs of pre-activation or inflammation in the absence of infection.
Project description:We used 3 pairs of HBV-associated hepatocellular carcinoma patients and healthy donors as samples. We tested the DNA expression profiles with DNA microarray including about 30967 probes. Through these raw data, we analyzed out several hundreds of differentially expressed genes.
Project description:We investigated the expression profiles of plasma miRNAs in immune thrombocytopenia (ITP) patients. Peripheral blood plasma was used for Agilent miRNA expression microarray analysis to define miRNA profiles and to identify miRNAs with discriminatory levels for ITP and healthy controls. Results were further validated using quantitative realtime PCR on a larger cohort, enabling relative quantification of plasma miRNAs and defining miRNAs with diagnostic value for the disease.
Project description:H3K27ac ChIP-seq of 79 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). In addition, 4 samples derived from CD34+ cord blood cells of healthy donors were included. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011060 (dataset).
Project description:This study utilizes multi-omic biological data to perform deep immunophenotyping on the major immune cell classes in COVID-19 patients. 10X Genomics Chromium Single Cell Kits were used with Biolegend TotalSeq-C human antibodies to gather single-cell transcriptomic, surface protein, and TCR/BCR sequence information from 254 COVID-19 blood draws (a draw near diagnosis (-BL) and a draw a few days later (-AC)) and 16 healthy donors.