Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Single cell RNA-seq of individual cells from dorsal skin of a F1 mouse cross-breed (C57BL/6JxCAST/EiJ)

ABSTRACT: Sequencing of diverse cell types present in the dorsal skin of a F1 mouse cross-breed in order to study the regulation of transcription on an allele-resolved level.

INSTRUMENT(S): Illumina HiSeq 4000

ORGANISM(S): Mus musculus

SUBMITTER: Rickard Sandberg

PROVIDER: E-MTAB-12181 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Transcriptional bursts explain autosomal random monoallelic expression and affect allelic imbalance.

Larsson Anton J M AJM Ziegenhain Christoph C Hagemann-Jensen Michael M Reinius Björn B Jacob Tina T Dalessandri Tim T Hendriks Gert-Jan GJ Kasper Maria M Sandberg Rickard R

PLoS computational biology 20210309 3

Transcriptional bursts render substantial biological noise in cellular transcriptomes. Here, we investigated the theoretical extent of allelic expression resulting from transcriptional bursting and how it compared to the amount biallelic, monoallelic and allele-biased expression observed in single-cell RNA-sequencing (scRNA-seq) data. We found that transcriptional bursting can explain the allelic expression patterns observed in single cells, including the frequent observations of autosomal monoa ...[more]

PMID: 33690599

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Project description:Background Clinical success of T cell receptor (TCR) gene therapy has previously been demonstrated for NY-ESO-1 TCR gene therapy. To increase numbers of cancer patients that can be treated with TCR gene therapy we aimed to identify a novel set of high-affinity cancer specific TCRs targeting different cancer testis (CT) antigens in prevalent HLA class I alleles. Methods In this study, we selected based on publicly available gene expression databases the most promising CT genes to target. From these selected genes we identified by HLA peptidomics the naturally processed and presented HLA class I peptides. With these peptide-HLA tetramers were generated, and by single cell sorting CT specific CD8+ T cells were selected, and expanded from the allo-HLA repertoire of healthy donors. By several functional assays high avidity CT-specific T cell clones with safe recognition pattern were selected. To evaluate the potential for clinical application in TCR gene therapy, TCRs were sequenced and transferred into peripheral blood derived CD8+ T cells. Results In total we identified, 7 novel CT-specific TCRs that effectively target MAGE-A1, MAGE-A3, MAGE-A6 and MAGE-A9 in the context of human leukocyte antigen(HLA) -A1, -A2, -A3, -B7, -B35 and -C7. TCR gene transfer into CD8⁺ T cells resulted in efficient cytokine production and cytotoxicity of variety of different tumor types without detectable cross-reactivity. In addition, major in vivo antitumor effects of MAGE-A1 specific TCR engineered CD8⁺ T cells was observed in an orthotopic xenograft model for established multiple myeloma, in which bone marrow located tumor cells were completely eradicated after T cell injection. Conclusion The identification of 7 novel CT-specific TCRs, reactive against CT antigens presented in a variety of different HLA class I alleles, allows selection of therapeutic TCRs for an increased number of cancer patients, and will improve development of personalized TCR gene therapy.

Project description:Preclinical studies of primary cancer cells are always done after tumors are removed from patients or animals at ambient atmospheric oxygen (O2, ~21%). However, O2 concentrations in organs are in the ~3-10% range, with most tumors in an hypoxic or 1-2% O2 environment in vivo. Although effects of O2 tension on tumor cell characteristics in vitro have been studied, these studies are done only after tumors are first collected and processed in ambient air. Similarly, sensitivity of primary cancer cells to anti-cancer agents is routinely examined at ambient O2. Here, using both mouse models and human cancers, we demonstrate that tumors collected, processed and propagated at physiologic (physioxia) O2 compared to ambient air display very distinct differences in key signaling networks including Lgr5/Wnt, Yap, and Nrf2/Keap1, nuclear reactive oxygen species levels, alternative splicing, and sensitivity to several targeted therapies including PIK3CAalpha-specific and EGFR inhibitors. Significance: Extra-physiologic oxygen shock/stress (EPHOSS), as noted in cells collected/processed under ambient air, has been demonstrated to have significant impact on numbers and engrafting ability of hematopoietic stem cells. We report deleterious effects of EPHOSS on cancer cell behavior and EPHOSS-mediated effects on cancer cells give misleading information on signaling pathway activation that could severely impact the relevance of these findings. Cancer cells under EPHOSS show higher proliferation rate compared to cells under physioxia and thus are sensitive to anti-proliferative agents. Thus, drugs that show effectiveness on cancer cells collected in ambient air and subjected to EPHOSS may not be effective or as relevant in vivo, results that could partially explain the limited clinical translation of laboratory findings. Evaluating cell signaling and effects of drugs on cancer cells under physiologic O2 prior to in vivo studies could substantially reduce cost and aid in drug discovery relevant to the actual physioxia/pathological status of the tumor cells in vivo.

Dataset Information

Single cell RNA-seq of individual cells from dorsal skin of a F1 mouse cross-breed (C57BL/6JxCAST/EiJ)

Publications

Transcriptional bursts explain autosomal random monoallelic expression and affect allelic imbalance.

Similar Datasets

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