Mouse natural killer cells response to DKK2 treatment
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE100402 | GEO | 2018/02/02
REPOSITORIES: GEO
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Project description:In order to gain a better understanding of gene expression during early malaria infection, we conducted microarray analysis of early blood responses in mice infected with erythrocytic stage Plasmodium chabaudi. Immediately following infection, we observed coordinated and sequential waves of immune responses, with interferon-associated gene transcripts dominating by 16 hours post-infection, followed by strong increases in natural killer (NK) cell-associated and MHC class I-related transcripts by 32 hours post-infection. We hypothesized that the observed elevation in NK cell-associated transcripts could be the result of a dramatic increase in the proportion of NK cells in the blood during infection, which we confirmed by flow cytometry. Subsequent microarray analysis of NK cells isolated from the peripheral blood of infected mice revealed a cell proliferation expression signature consistent with the observation that NK cells replicate in response to infection. Early proliferation of NK cells was directly observed in studies with adoptively transferred cells in infected mice. These data indicate that the early response to P. chabaudi infection of the blood is marked by a primary wave of interferon with a subsequent response by NK cells. Keywords: murine whole blood response to Plasmodium chabaudi infection We analyzed a series of 36 MEEBO arrays on which were hybed RNA amplified from whole blood of C57BL/6 mice either mock-infected or infected with P. chabaudi AS.
2010-05-19 | E-GEOD-12249 | biostudies-arrayexpress
Project description:In order to gain a better understanding of gene expression during early malaria infection, we conducted microarray analysis of early blood responses in mice infected with erythrocytic stage Plasmodium chabaudi. Immediately following infection, we observed coordinated and sequential waves of immune responses, with interferon-associated gene transcripts dominating by 16 hours post-infection, followed by strong increases in natural killer (NK) cell-associated and MHC class I-related transcripts by 32 hours post-infection. We hypothesized that the observed elevation in NK cell-associated transcripts could be the result of a dramatic increase in the proportion of NK cells in the blood during infection, which we confirmed by flow cytometry. Subsequent microarray analysis of NK cells isolated from the peripheral blood of infected mice revealed a cell proliferation expression signature consistent with the observation that NK cells replicate in response to infection. Early proliferation of NK cells was directly observed in studies with adoptively transferred cells in infected mice. These data indicate that the early response to P. chabaudi infection of the blood is marked by a primary wave of interferon with a subsequent response by NK cells. Keywords: murine NK cell response to Plasmodium chabaudi infection We analyzed a series of 10 MEEBO arrays on which were hybed RNA amplified from NK cells of C57BL/6 mice either mock-infected or infected with P. chabaudi AS.
2010-05-19 | E-GEOD-12727 | biostudies-arrayexpress
Project description:Natural Killer cells (NK), a major constituent of innate immune system, have the ability to kill the transformed and infected cells without prior sensitization; can be put to immunotherapeutic use against various malignancies. NK cells discriminate between normal cells and transformed cells via a balance of inhibitory and activating signals induced by interactions between NK cell receptors and target cell ligands. Present study investigates whether expansion of NK cells could augment their anti-myeloma (MM) activity. For NK cell expansion, peripheral blood mononuclear cells from healthy donors and myeloma patients were co-cultured with irradiated K562 cells transfected with 4-1BBL and membrane-bound IL15 (K562-mb15-41BBL). A genome-wide profiling approach was performed to identify gene expression signature in expanded NK (ENK) cells and non-expanded NK cells isolated from healthy donors and myeloma patients. A specific set of genes involved in proliferation, migration, adhesion, cytotoxicity, and activation were up regulated post expansion, also confirmed by flow cytometry. Exp-NK cells killed both allogeneic and autologous primary MM cells more avidly than non-exp-NK cells in vitro. Multiple receptors, particularly NKG2D, natural cytotoxicity receptors, and DNAM-1 contributed to target lysis, via a perforin mediated mechanism. In summary, vigorous expansion and high anti-MM activity both in vitro and in vivo provide the rationale for testing exp-NK cells in a clinical trial for high risk MM. Differential gene expression profile in expanded natural killer (ENK) cells and non-expanded natural killer (NK) cells from healthy donors and myeloma patients Eight healthy donor and eight myeloma patients were used in the study. Non-expanded natural killer (NK) cells were isolated from PBMCs of healthy donors and myeloma patients. Expanded natural killer (ENK) cells were generated from same set of samples as mentioned in expansion protocol. All ENK and NK cells were used for gene expression profiling.
2011-03-08 | E-GEOD-27838 | biostudies-arrayexpress
Project description:Cytokine signaling via signal transducer and activator of transcription (STAT) proteins is crucial for optimal antiviral responses of natural killer (NK) cells. However, the pleiotropic effects of both cytokine and STAT signaling preclude the ability to precisely attribute molecular changes to either source. In this study, we employ a multi-“omics” approach to deconstruct and rebuild the complex interaction of three major STAT signaling pathways in NK cells. We uncover a global STAT4-STAT5 cooperative axis that is distinct and sometimes antagonistic to the STAT1 axis. We generate a network of STAT targets that highlights an integrated negative feedback loop, and demonstrate distinct STAT modes of epigenetic regulation. Finally, we identify shared signatures between mouse in vitro profiles and profiles from viral infection and humans, highlighting clinically translatable targets. Overall, we begin to unravel the intricate crosstalk between cytokine signaling pathways, and offer a valuable resource for improving cellular immunotherapy.
2021-04-29 | GSE140035 | GEO
Project description:Cytokine signaling via signal transducer and activator of transcription (STAT) proteins is crucial for optimal antiviral responses of natural killer (NK) cells. However, the pleiotropic effects of both cytokine and STAT signaling preclude the ability to precisely attribute molecular changes to either source. In this study, we employ a multi-“omics” approach to deconstruct and rebuild the complex interaction of three major STAT signaling pathways in NK cells. We uncover a global STAT4-STAT5 cooperative axis that is distinct and sometimes antagonistic to the STAT1 axis. We generate a network of STAT targets that highlights an integrated negative feedback loop, and demonstrate distinct STAT modes of epigenetic regulation. Finally, we identify shared signatures between mouse in vitro profiles and profiles from viral infection and humans, highlighting clinically translatable targets. Overall, we begin to unravel the intricate crosstalk between cytokine signaling pathways, and offer a valuable resource for improving cellular immunotherapy.
2021-04-29 | GSE140033 | GEO
Project description:Cytokine signaling via signal transducer and activator of transcription (STAT) proteins is crucial for optimal antiviral responses of natural killer (NK) cells. However, the pleiotropic effects of both cytokine and STAT signaling preclude the ability to precisely attribute molecular changes to either source. In this study, we employ a multi-“omics” approach to deconstruct and rebuild the complex interaction of three major STAT signaling pathways in NK cells. We uncover a global STAT4-STAT5 cooperative axis that is distinct and sometimes antagonistic to the STAT1 axis. We generate a network of STAT targets that highlights an integrated negative feedback loop, and demonstrate distinct STAT modes of epigenetic regulation. Finally, we identify shared signatures between mouse in vitro profiles and profiles from viral infection and humans, highlighting clinically translatable targets. Overall, we begin to unravel the intricate crosstalk between cytokine signaling pathways, and offer a valuable resource for improving cellular immunotherapy.
2021-03-21 | GSE164115 | GEO
Project description:Cytokine signaling via signal transducer and activator of transcription (STAT) proteins is crucial for optimal antiviral responses of natural killer (NK) cells. However, the pleiotropic effects of both cytokine and STAT signaling preclude the ability to precisely attribute molecular changes to either source. In this study, we employ a multi-“omics” approach to deconstruct and rebuild the complex interaction of three major STAT signaling pathways in NK cells. We uncover a global STAT4-STAT5 cooperative axis that is distinct and sometimes antagonistic to the STAT1 axis. We generate a network of STAT targets that highlights an integrated negative feedback loop, and demonstrate distinct STAT modes of epigenetic regulation. Finally, we identify shared signatures between mouse in vitro profiles and profiles from viral infection and humans, highlighting clinically translatable targets. Overall, we begin to unravel the intricate crosstalk between cytokine signaling pathways, and offer a valuable resource for improving cellular immunotherapy.
2021-03-21 | GSE164113 | GEO
Project description:Cytokine signaling via signal transducer and activator of transcription (STAT) proteins is crucial for optimal antiviral responses of natural killer (NK) cells. However, the pleiotropic effects of both cytokine and STAT signaling preclude the ability to precisely attribute molecular changes to either source. In this study, we employ a multi-“omics” approach to deconstruct and rebuild the complex interaction of three major STAT signaling pathways in NK cells. We uncover a global STAT4-STAT5 cooperative axis that is distinct and sometimes antagonistic to the STAT1 axis. We generate a network of STAT targets that highlights an integrated negative feedback loop, and demonstrate distinct STAT modes of epigenetic regulation. Finally, we identify shared signatures between mouse in vitro profiles and profiles from viral infection and humans, highlighting clinically translatable targets. Overall, we begin to unravel the intricate crosstalk between cytokine signaling pathways, and offer a valuable resource for improving cellular immunotherapy.
2020-05-01 | GSE140043 | GEO
Project description:Natural killer (NK) cells are innate lymphocytes important for early host defense against infectious pathogens and surveillance against malignant transformation. Resting murine NK cells regulate the translation of effector molecule mRNAs (e.g. granzyme B, GzmB) through unclear molecular mechanisms. MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate the translation of their mRNA targets, and are therefore candidates mediating this control process. While the expression and importance of miRNAs in T and B lymphocytes has been established, little is known about miRNAs in NK cells. Here, we utilized two next-generation sequencing (NGS) platforms to define the miRNA transcriptomes of resting and cytokine-activated primary murine NK cells, with confirmation by RT-qPCR and microarrays. We delineate a bioinformatics analysis pipeline that identified 302 known and 28 novel mature miRNAs from sequences obtained from NK cell small RNA libraries. These miRNAs are expressed over a broad range, exhibit isomiR complexity, and a subset is differentially expressed following cytokine-activation. Using this miRNA NGS data, miR-223 was identified as a mature miRNA present in resting NK cells with decreased expression following cytokine-activation. Further, we demonstrate that miR-223 specifically targets the 3’UTR of murine GzmB in vitro, indicating that this miRNA may contribute to control of GzmB translation in resting NK cells. Thus, the sequenced NK cell miRNA transcriptome provides a valuable framework for further elucidation of miRNA expression and function in NK cell biology. Illumina GA (SRR036363, SRR036364) and SOLiD (SRR036206, SRR036210) sequencing data have been submitted to the NCBI Sequence Read Archive (SRA). The study uses a custome made array to characterize miRNA of activated and resting murine splenic natural killer cells
2010-10-01 | E-GEOD-21003 | biostudies-arrayexpress
Project description:<p>Natural killer (NK) cells are forced to cope with different oxygen environments even under resting conditions. The adaptation to low oxygen is regulated by oxygen-sensitive transcription factors, the hypoxia-inducible factors (HIFs). The function of HIFs for NK cell activation and metabolic rewiring remains controversial. Activated NK cells are predominantly glycolytic, but the metabolic programs that ensure the maintenance of resting NK cells are enigmatic. By combining <em>in situ</em> metabolomic and transcriptomic analyses in resting murine NK cells, our study defines HIF-1a as a regulator of tryptophan metabolism and cellular nicotinamide adenine dinucleotide (NAD+) levels. The HIF-1a/NAD+ axis prevents ROS production during oxidative phosphorylation (OxPhos) and thereby blocks DNA damage and NK cell apoptosis under steadystate conditions. In contrast, in activated NK cells under hypoxia, HIF-1a is required for glycolysis, and forced HIF-1a expression boosts glycolysis and NK cell performance <em>in vitro</em> and <em>in vivo</em>. Our data highlight two distinct pathways by which HIF-1a interferes with NK cell metabolism. While HIF-1a-driven glycolysis is essential for NK cell activation, resting NK cell homeostasis relies on HIF-1a-dependent tryptophan/NAD+ metabolism.</p><p><br></p><p><strong>Linked cross omic data sets:</strong></p><p>RNA-seq data associated with this study are available in ArrayExpress (BioStudies): accession <a href='https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-MTAB-12082' rel='noopener noreferrer' target='_blank'>E-MTAB-12082</a>.</p>
2023-06-01 | MTBLS6863 | MetaboLights