Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Single cell RNA-seq analysis of bone marrow (BM) samples of patients with B-Cell Acute Lymphoblastic Leukemia treated with anti CD19 CAR T cells

ABSTRACT: Single-cell RNA sequencing of BM resident immune cells of patients undergoing CAR T-cell infusion and their Infusion Product (IP). Data in this study were generated from a patients enrolled in the FT01CARCIK Phase I/IIb clinical trial (NCT03389035) and two patients treated with autologous commercial CAR T cells (tisagenlecleucel). BM samples have been collected before CAR T treatment (pre) and at early time points (1-2 months) after treatment (post). CD45+CD3+ T cells, and CD45+/lowCD3-, encompassing the hematopoietic immune niche of the TME cells, have been separated by flow cytometry-based cell sorting and compared to cells of the corresponding patient’s BM before CAR T-cell treatment at the moment of relapse. In parallel, CAR T-cell infusion products (IP) have been sorted according to the surface CAR expression. Significance: This study highlights the critical role of the tumor microenvironment on CAR T-cell fate and endogenous immunity in B-cell acute lymphoblastic leukemia. We demonstrate that IFN response, hypoxia, and TGF-b signaling lead to general immune suppression, resulting in endogenous T-cell exhaustion and compromising CAR T-cell efficacy

INSTRUMENT(S): 10x Genomics Chromium, Illumina NovaSeq 6000, BD FACS ARIA III analyser

ORGANISM(S): Homo sapiens

SUBMITTER:

PROVIDER: E-MTAB-14549 | biostudies-arrayexpress |

SECONDARY ACCESSION(S): ERP165349

REPOSITORIES: biostudies-arrayexpress

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Project description:A recently identified unconventional T cell population known as mucosal-associated invariant T (MAIT) cells are characterized by the expression of semi-invariant T cell receptor (TCR) with a canonical TRAV1-2/TRAJ33 (Vα7.2/Jα33). These evolutionary conserved, innate-like T cells recognize vitamin B metabolites, derived from some bacteria and fungi. Due to their presence not only in the T cell repertoire of mucosal surfaces but also in peripheral blood and liver, and their significant involvement in a wide range of diseases, in-depth characterization of human MAIT cells is a timely requirement. Studies that examined the transcriptome, immunoproteome, and whole-cell proteome characterized the role of cytotoxic molecules and cytokines in effector functions of MAIT cells and their relationship with some other immune cell subsets. As MAIT cells are classified under the CD3+ T cell compartment and the majority express surface receptor CD8, identifying their proteomic relationship with CD3+ and CD8+ T cells is pivotal. Thus, a high-resolution dataset was generated using the cell populations sorted from peripheral blood mononuclear cells of three healthy volunteers to describe the whole cell proteomes of MAIT, CD3+, and CD8+ T cells. Trypsin-digested peptide samples obtained from the methanol co-precipitation method were analyzed using an Orbitrap FusionTM TribridTM mass spectrometer (Thermo Fisher Scientific, USA) inline coupled to nanoACQUITY ultra-performance liquid chromatography system (Waters, USA) to acquire data-dependent shotgun proteomic data (DDA-MS) for label-free quantification. Analysis of raw DDA-MS data using MaxQuant software and maxLFQ identified and quantified 4,442 protein groups at a 1% false discovery rate. Further analysis identified 3,680 proteins which were detected with a single UniProt accession and a minimum of 2 unique or razor peptides. Thus this proteomic dataset can be used as a reference proteome for future studies on human MAIT cells.

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Dataset Information

Single cell RNA-seq analysis of bone marrow (BM) samples of patients with B-Cell Acute Lymphoblastic Leukemia treated with anti CD19 CAR T cells

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