Project description:Sjogren's syndrome is an autoimmune disease, characterized by complaints such as xerostomia and keratoconjunctivitis sicca. In other autoimmune diseases such as diabetes and SLE, monocyte abberancies have been described. Therefore, this study aimed at studying the monocyte compartment in Sjogren's Syndrome, by transcription profiling of CD14+CD16- and CD14lowCD16+ monocytes in patients and controls.
Project description:This study aims at the quantitative analysis of human salivary extracellular vesicle (EV) content from patients affected by primary Sjogren's syndrome (pSS) in order to determine candidate biomarkers for disease diagnosis, patient stratification and monitoring.
Project description:Large deletions in mitochondrial DNA (mtDNA) have been linked to a variety of clinical pathologies, including somatic emergence in congenital disorders such as Pearson Syndrome (MIM:557000), a mitochondrial disease characterized by sideroblastic anemia and exocrine pancreas dysfunction. Here, we develop a multi-omics approach to quantify mtDNA deletion heteroplasmy and cell state features in thousands of single cells. By profiling primary hematopoietic cells from three patients with Pearson Syndrome, we resolve the interdependence between pathogenic mtDNA heteroplasmy and cell lineage, including purifying selection against mtDNA deletions in effector-memory CD8 T-cell populations. We further observe widespread Pearson-specific transcriptomic changes in peripheral blood mononuclear cells. Additionally, single-cell analyses of in vivo and in vitro cultured bone marrow mononuclear cells reveal multi-faceted clonal dynamics and purifying selection in a patient with both Pearson Syndrome and Myelodysplastic Syndrome (MDS). Our results identify specific molecular perturbations underlying Pearson Syndrome and more generally provide a powerful framework to utilize multi-omics in the study of evolution in disease within single cells.
Project description:Large deletions in mitochondrial DNA (mtDNA) have been linked to a variety of clinical pathologies, including somatic emergence in congenital disorders such as Pearson Syndrome (MIM:557000), a mitochondrial disease characterized by sideroblastic anemia and exocrine pancreas dysfunction. Here, we develop a multi-omics approach to quantify mtDNA deletion heteroplasmy and cell state features in thousands of single cells. By profiling primary hematopoietic cells from three patients with Pearson Syndrome, we resolve the interdependence between pathogenic mtDNA heteroplasmy and cell lineage, including purifying selection against mtDNA deletions in effector-memory CD8 T-cell populations. We further observe widespread Pearson-specific transcriptomic changes in peripheral blood mononuclear cells. Additionally, single-cell analyses of in vivo and in vitro cultured bone marrow mononuclear cells reveal multi-faceted clonal dynamics and purifying selection in a patient with both Pearson Syndrome and Myelodysplastic Syndrome (MDS). Our results identify specific molecular perturbations underlying Pearson Syndrome and more generally provide a powerful framework to utilize multi-omics in the study of evolution in disease within single cells.
Project description:Large deletions in mitochondrial DNA (mtDNA) have been linked to a variety of clinical pathologies, including somatic emergence in congenital disorders such as Pearson Syndrome (MIM:557000), a mitochondrial disease characterized by sideroblastic anemia and exocrine pancreas dysfunction. Here, we develop a multi-omics approach to quantify mtDNA deletion heteroplasmy and cell state features in thousands of single cells. By profiling primary hematopoietic cells from three patients with Pearson Syndrome, we resolve the interdependence between pathogenic mtDNA heteroplasmy and cell lineage, including purifying selection against mtDNA deletions in effector-memory CD8 T-cell populations. We further observe widespread Pearson-specific transcriptomic changes in peripheral blood mononuclear cells. Additionally, single-cell analyses of in vivo and in vitro cultured bone marrow mononuclear cells reveal multi-faceted clonal dynamics and purifying selection in a patient with both Pearson Syndrome and Myelodysplastic Syndrome (MDS). Our results identify specific molecular perturbations underlying Pearson Syndrome and more generally provide a powerful framework to utilize multi-omics in the study of evolution in disease within single cells.
Project description:Large deletions in mitochondrial DNA (mtDNA) have been linked to a variety of clinical pathologies, including somatic emergence in congenital disorders such as Pearson Syndrome (MIM:557000), a mitochondrial disease characterized by sideroblastic anemia and exocrine pancreas dysfunction. Here, we develop a multi-omics approach to quantify mtDNA deletion heteroplasmy and cell state features in thousands of single cells. By profiling primary hematopoietic cells from three patients with Pearson Syndrome, we resolve the interdependence between pathogenic mtDNA heteroplasmy and cell lineage, including purifying selection against mtDNA deletions in effector-memory CD8 T-cell populations. We further observe widespread Pearson-specific transcriptomic changes in peripheral blood mononuclear cells. Additionally, single-cell analyses of in vivo and in vitro cultured bone marrow mononuclear cells reveal multi-faceted clonal dynamics and purifying selection in a patient with both Pearson Syndrome and Myelodysplastic Syndrome (MDS). Our results identify specific molecular perturbations underlying Pearson Syndrome and more generally provide a powerful framework to utilize multi-omics in the study of evolution in disease within single cells.
Project description:Large deletions in mitochondrial DNA (mtDNA) have been linked to a variety of clinical pathologies, including somatic emergence in congenital disorders such as Pearson Syndrome (MIM:557000), a mitochondrial disease characterized by sideroblastic anemia and exocrine pancreas dysfunction. Here, we develop a multi-omics approach to quantify mtDNA deletion heteroplasmy and cell state features in thousands of single cells. By profiling primary hematopoietic cells from three patients with Pearson Syndrome, we resolve the interdependence between pathogenic mtDNA heteroplasmy and cell lineage, including purifying selection against mtDNA deletions in effector-memory CD8 T-cell populations. We further observe widespread Pearson-specific transcriptomic changes in peripheral blood mononuclear cells. Additionally, single-cell analyses of in vivo and in vitro cultured bone marrow mononuclear cells reveal multi-faceted clonal dynamics and purifying selection in a patient with both Pearson Syndrome and Myelodysplastic Syndrome (MDS). Our results identify specific molecular perturbations underlying Pearson Syndrome and more generally provide a powerful framework to utilize multi-omics in the study of evolution in disease within single cells.
Project description:Large deletions in mitochondrial DNA (mtDNA) have been linked to a variety of clinical pathologies, including somatic emergence in congenital disorders such as Pearson Syndrome (MIM:557000), a mitochondrial disease characterized by sideroblastic anemia and exocrine pancreas dysfunction. Here, we develop a multi-omics approach to quantify mtDNA deletion heteroplasmy and cell state features in thousands of single cells. By profiling primary hematopoietic cells from three patients with Pearson Syndrome, we resolve the interdependence between pathogenic mtDNA heteroplasmy and cell lineage, including purifying selection against mtDNA deletions in effector-memory CD8 T-cell populations. We further observe widespread Pearson-specific transcriptomic changes in peripheral blood mononuclear cells. Additionally, single-cell analyses of in vivo and in vitro cultured bone marrow mononuclear cells reveal multi-faceted clonal dynamics and purifying selection in a patient with both Pearson Syndrome and Myelodysplastic Syndrome (MDS). Our results identify specific molecular perturbations underlying Pearson Syndrome and more generally provide a powerful framework to utilize multi-omics in the study of evolution in disease within single cells.