CD103+CD56+ ILCs are associated with an immunosuppressed tumour microenvironment
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ABSTRACT:
PROVIDER: PRJNA1157848 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR30575041.fastq.gz | Fastqsanger.gz | |||
| SRR30575042.fastq.gz | Fastqsanger.gz | |||
| SRR30575043.fastq.gz | Fastqsanger.gz | |||
| SRR30575044.fastq.gz | Fastqsanger.gz | |||
| SRR30575045.fastq.gz | Fastqsanger.gz |
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Project description:Immunotherapies have had unprecedented success for multiple cancer types, albeit with variable response rates. Unravelling the complex network of immune cells within the tumour microenvironment (TME) may provide additional insights to enhance anti-tumour immunity and improve clinical response. Here, we identified a CD103-expressing CD56+ ILC subset that were associated with a poor proliferative capacity of tumour-infiltrating lymphocytes (TILs) in culture. We demonstrate that CD103+CD56+ ILCs isolated directly from tumors represent a distinct ILC population that expressed unique surface markers, transcription factor networks, and transcriptomic profiles compared to CD103-CD56+ NK cells. Using multiple approaches, we found that these CD103+CD56+ ILCs were associated with CD8+ T cells with a reduced expression of GZMB. This study identifies 59 a population of CD103+CD56+ ILCs with potentially inhibitory functions, that are associated with a TME that includes CD8+ T cells with poor anti-tumour activity. Further studies focusing on these potentially inhibitory cells may provide insights into understanding the biology of an inhibitory TME.
2024-09-07 | GSE276563 | GEO
Project description:Immunotherapies have had unprecedented success for multiple cancer types, albeit with variable response rates. Unravelling the complex network of immune cells within the tumour microenvironment (TME) may provide additional insights to enhance anti-tumour immunity and improve clinical response. Here, we identified a CD103-expressing CD56+ ILC subset that were associated with a poor proliferative capacity of tumour-infiltrating lymphocytes (TILs) in culture. We demonstrate that CD103+CD56+ ILCs isolated directly from tumors represent a distinct ILC population that expressed unique surface markers, transcription factor networks, and transcriptomic profiles compared to CD103-CD56+ NK cells. Using multiple approaches, we found that these CD103+CD56+ ILCs were associated with CD8+ T cells with a reduced expression of GZMB. This study identifies 59 a population of CD103+CD56+ ILCs with potentially inhibitory functions, that are associated with a TME that includes CD8+ T cells with poor anti-tumour activity. Further studies focusing on these potentially inhibitory cells may provide insights into understanding the biology of an inhibitory TME.
2024-12-04 | GSE276966 | GEO
Project description:CD103+CD56+ ILCs are associated with an immunosuppressed tumour microenvironment (bulk RNA-Seq)
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Project description:A small subset of T cells also expresses kiler-cell immunoglobulin-like receptors (KIRs). We find that KIR+ T cells primarily reside in the CD56+ T population. However, little is known on how these cells are different from the conventional CD56- T, NK, and iNKT cells. We used microarray profiling to compare and determine the distinctive differences of CD56+ T cell and its KIR subsets when compared to the conventional CD56- T, NK and iNKT cells. Lymphocyte subsets were sorted from human peripheral blood mononuclear cells with FACSAriaII (BD Biosciences, San Jose, CA) using anti-CD3, anti-CD56, anti-CD14, anti-KIR2DL1, anti-KIR2DL2/3, anti-KIR3DL1 and anti-TCRValpha24 antibodies. The purity of CD3+CD56- T cells, CD3-CD56+ NK cells, CD3+CD56+ T cells, KIR-CD3+CD56+ T cells, and KIR+CD3+CD56+ T cells were more than 98% in all experiments. The purities of iNKT cells for TCRValpha24 and CD1d-tetramer were >95% and >90%, respectively. RNA pre-amplification, labeling and hybridization on Human Genome U133Plus 2.0 GeneChip array were performed in the St. Jude Hartwell Center for Bioinformatics & Biotechnology microarray core facility according to the manufacturer’s instructions (Affymetrix, Santa Clara, CA).
2013-07-01 | E-GEOD-47855 | biostudies-arrayexpress
Project description:A small subset of T cells also expresses kiler-cell immunoglobulin-like receptors (KIRs). We find that KIR+ T cells primarily reside in the CD56+ T population. However, little is known on how these cells are different from the conventional CD56- T, NK, and iNKT cells. We used microarray profiling to compare and determine the distinctive differences of CD56+ T cell and its KIR subsets when compared to the conventional CD56- T, NK and iNKT cells.
2013-07-01 | GSE47855 | GEO
Project description:Regulatory T cells (Tregs) play a key role in suppressing systemic effector immune responses, thereby preventing autoimmune diseases but could also potentially contribute to tumor progression. As a result, there is significant interest in the clinical manipulation of Tregs. However, the mechanisms governing induced Treg (iTreg) differentiation are not fully understood. In the present study, we phenotypically profiled human iTregs during early stages of in vitro differentiation at single-cell level using multiparametric mass cytometry. A panel of 25 metal-conjugated antibodies specific to a range of markers associated with human Tregs was used to characterize these immunomodulatory cells. We found that iTregs highly express the transcription factor Foxp3 and characteristic Treg-associated surface markers (e.g. CD25, PD1, CD137, CCR4, CCR7, CXCR3, and CD103). Expression of co-inhibitory factors (e.g. TIM3, LAG3, and TIGIT) increased slightly at late stages of iTreg differentiation. Further, CD103 was selectively upregulated in the iTreg compartment while negatively regulated by Foxp3. Overall, our study highlights that during early stages of differentiation, iTregs resemble memory-like Treg features, and opens possibilities for studying molecular mechanisms of Treg function.
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Project description:Multiple subsets of FLT3L-dependent dendritic cells (DCs) control T cell tolerance and immunity. In mouse tissues, CD8α-like DCs are identified by CD103 expression. This DC subset efficiently enters lymph nodes and cross-presents antigens, rendering CD103+ DCs promising targets for therapeutic tolerance induction or vaccination. However, only limited numbers of CD103+ DCs can be isolated with current methods. Moreover, bone marrow cultures with FLT3L produce complex mixtures of DC subsets. We developed a novel method for generating large numbers of Batf3-dependent CD103+ DCs. We used microarray analysis to compare in vitro generated CD103+ and CD103- DCs and correlated their expression patterns to published profiles and signatures of DC subsets.
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Project description:WT and NLRP6 KO CD103+ and CD103- B cell expression
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Project description:We hypothesize that under homeostatic as well as inflammatory conditions circulating monocytes and/or their bone marrow-derived progenitors might contribute to the replenishment of CD103+ and CD103- DC in lymphoid and non-lymphoid compartments. To that end, bone marrow cells from CX3CR1+/gfp C57BL/6 mice were sorted as follows: lineage negative (CD3, CD19, NK1.1, Ter119, Ly6G and CD11c) CX3CR1+c-kit+. Sorted cells were further cultured in vitro under the continuous presence of GM-CSF. lin-CX3CR1+c-kit+ bone marrow cells gave rise to CD103+ and CD103- DC in vitro. To test whether CD103 might be a suitable marker that allows the differentiation of functionally distinct DC subsets generated in vitro, CD11c+CD103+ and CD11c+CD103- DC were sorted from day 5 cultures of lin-CX3CR1+c-kit+ cells and analyzed by whole mouse genome microarrays from Agilent technologies. Compared to CD103+ DC, CD103- DC displayed a strong up-regulation of transcripts for genes involved in innate immunity, whereas those involved in costimulation were down-modulated. Our data suggest distinct functional activity of these two DC subsets. Keywords: Transcriptional profiling-Cell type comparison We compared the transcriptional profile of CD11c+CD103+ and CD11c+CD103- dendritic cells by use of Agilent Whole Mouse Genome Microarrays. Two sets of samples were generated independently as real biological replicates. The microarray analysis was performed as a dual-color experiment, including a dye-swap.
2008-12-17 | E-GEOD-10882 | biostudies-arrayexpress