Project description:Flow cytometry sorted B-cells reactive to ACE2 peptides isolated from peripheral blood of COVID-19 patients compared with non-reactive B-cells using pooled hashtag barcoding and 10x genomics 5'DGE kit and VDJ recombination of B-cells
Project description:Tumor cells were isolated from solid tumors or ascites from HGSOC patients and enriched for EpCAM expression by antibody magnetic beads (affinity)-based methods and large RNAs (> 200 nt) sequenced (50 bp paired ends) after rRNA depletion (RiboZero). Expression differences between patients with miliary and non-miliary peritoneal tumor spreading were used for a search for new targeted therapies and for biological annotion.
Project description:We measured gene expression in single-cell RNA sequencing samples from patients with high-grade serous ovarian cancer (HGSOC), for a study on improving HGSOC subtype definition by taking into account varying cell type proportions within tumors.
Project description:In order to investigate heterogeneity and dynamics of cancer-associated immune cells, we performed single-cell sequencing on peripheral and tumor-infiltrating immune cells in three renal clear cell carcinoma patients. We chose renal clear cell carcinoma tumors based on the responsive of these tumors to immune checkpoint blockade in the context of low mutational loads, which implies a strong influence from the tumor microenvironment. Using the 10x Genomic 5 expression platform a total of 25,672 immune cells were isolated and passed filtering for quality control, with 13,433 cells from peripheral blood and 12,239 tumor-infiltrating cells. In addition, we used the Chromium Single Cell V(D)J kit to enrich for T cell receptor sequences for nearly 10,000 T cells in with accompanying expression information, allowing for the investigation of clonality and transcriptional phenotypic diversity. We generated a comprehensive immune profile using single-cell RNA-seq data from 25,000 immune cells from three renal cell carcinoma along with matched peripheral blood. In addition, we performed VDJ sequencing on the isolated single T cells.
Project description:Despite extensive clinical endeavors to enhance high-grade serous ovarian cancer (HGSOC) detection and treatment, an alarming half of diagnosed women succumb annually to this disease. Significantly, nearly all HGSOC cases manifest ascites at diagnosis, a poor prognostic indicator. Malignant ascites production arises as ovarian cancer cells shed from the primary tumor, creating a hostile environment that endangers their survival. Consequently, cancer cells aggregate into tumorspheres, the principal metastatic units in HGSOC. The molecular mechanisms that tumorspheres use to overcome the ascites bottleneck and metastasize are still poorly understood. Studying tumorspheres isolated from ascites samples from treatment naïve HGSOC patients, as well as three-dimensional spheroid in vitro and in vivo ovarian cancer cell models, we report that the Sphingosine-1-Phosphate (S1P) ligand and its receptor S1PR1 axis is especially relevant in ovarian tumorspheres, where it promotes an autocrine positive loop, serving as their primary proliferative mechanism via MEK1/2-ERK activation. Our findings demonstrate that the S1P-S1PR1-MEK1/2 pathway confers ovarian tumorspheres a selective advantage within the ascites environment and, consequently, increases their metastatic potential.
Project description:CD4 T cells are recruited to the FRT following Chlamydia intravaginal infection. We use single-cell RNA sequencing and VDJ profiling to compare CD4 T cells sorted from WT (B6) and Bhlhe40-/- mice at 14 days post Chlamydia muridarum intravaginal infection.
Project description:High-grade serous ovarian cancer (HGSOC) is characterized by pronounced cellular heterogeneity and dynamic changes during treatment and recurrence. In this study, we collected 10 tumor samples from six patients with advanced-stage HGSOC and performed single-cell RNA sequencing (scRNA-seq) to profile the tumor ecosystem across different treatment stages, including pre-neoadjuvant chemotherapy (pre-NACT), post-neoadjuvant chemotherapy (post-NACT), and platinum-sensitive recurrence. Single-cell libraries were prepared using the 10x Genomics platform followed by high-throughput sequencing. This dataset provides a resource for investigating transcriptional heterogeneity and cellular composition changes associated with treatment and recurrence in advanced HGSOC.