Project description:Adoptive immunotherapy with T cells expressing chimeric antigen receptors (CARs) for B-cell malignancies serves as a model for identifying subsets with superior clinical activity. We profiled the infusion products (IP) of 9 patients with large B-cell lymphoma (LBCL) using scRNA-sequencing to reveal the therapeutic potential of CD19-specific CAR+ T cells. ScRNA-seq demonstrated that T cells from responders were enriched in pathways related to T-cell killing, migration and actin cytoskeleton, and TCR clustering.
Project description:We report 101,326 single cell transcriptomes and surface protein landscape from the Chimeric antigen receptor-modified (CAR) T infusion products of 12 pediatric ALL patients upon CAR antigen-specific stimulation in comparison with TCR-mediated activation and controls.
Project description:We performed single cell RNA sequencing of remnants from CD19 CAR T-cell infusion products used for standard of care treatment for relapsed/refractory large B-cell lymphoma. Libraries were prepared using 10X 5’ GEX chemistry and sequenced on an Illumina HiSeq 4000 to obtain >50,000 reads per cell.
Project description:Gene fusions and chimeric transcripts occur frequently in cancers and in some cases drive the development of the disease. An accurate detection of these events is crucial for cancer research and in a long-term perspective could be applied for personalized therapy. RNA-seq technology has been established as an efficient approach to investigate transcriptomes and search for gene fusions and chimeric transcripts on a genome-wide scale. A number of computational methods for the detection of gene fusions from RNA-seq data have been developed. However, recent studies demonstrate differences between commonly used approaches in terms of specificity and sensitivity. Moreover their ability to detect gene fusions on the isoform level has not been studied carefully so far. Here we propose a novel computational approach called InFusion for fusion gene detection from deep RNA sequencing data. Validation of InFusion on simulated and on several public RNA-seq datasets demonstrated better detection accuracy compared to other tools. We also performed deep RNA sequencing of two well-established prostate cancer cell lines. Using these data we showed that InFusion is capable of discovering alternatively spliced gene fusion isoforms as well as chimeric transcripts that include non-exonic regions. In addition our method can detect anti-sense transcription in the fusions by incorporating strand specificity of the sequencing library.
Project description:We present a resource of scRNA-seq and scTCR-seq data from the infusion products of 59 patients with relapsed or refractory large B-cell lymphoma (rrLBCL) treated with standard-of-care axicabtagene ciloleucel (Axi-cel), that we have made publicly available to facilitate ongoing and future discovery efforts that will improve patient outcomes.