Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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RNA-seq of NK cells from blood samples of HV and AML patients

ABSTRACT: CD56neg CD16+ Natural Killer (NK) cells have been reported to expand in chronic diseases and acute myeloid leukemia (AML). However, their biological role is still unclear. Using bulk RNA-sequencing, we compared gene expression profile of CD56neg CD16+ NK cells with conventional CD56bright, CD56dim CD16- and CD56dim CD16+ NK cells from blood samples of HV and AML patients. RNA-seq unveiled that CD56neg CD16+ NK cells were mature circulating NK cells with functional capacities. Taken together, our results suggest that CD56neg CD16+ NK cells are a relevant target for future NK-cell-based immunotherapies.

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: Julia Wlosik

PROVIDER: E-MTAB-14569 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Human Natural Killer (NK) cells comprise two main subsets, CD56bright and CD56dim cells, that differ in function, phenotype and tissue localization. To further dissect the heterogeneity of CD56dim cells, we have performed transcriptome analysis and functional ex vivo characterization of human NK cell subsets according to the expression of markers related to differentiation, migration or competence. Here, we show for the first time that the ability to respond to cytokines or to activating receptors is mutually exclusive in almost all NK cells with the exception of CD56dim CD62L+ cells. Indeed, only these cells combine the ability to produce interferon (IFN)-gamma after cytokines and proliferate in vivo during viral infection with the capacity to kill and produce cytokines upon engagement of activating receptors. Therefore, CD56dim CD62L+ cells represent a unique subset of polyfunctional NK cells. Ex vivo analysis of their function, phenotype, telomere length, frequencies during ageing as well as transfer experiments of NK cell subsets into immunodeficient mice suggest that CD56dim CD62L+ cells represent an intermediate stage of NK cell maturation, which after restimulation can accomplish multiple tasks and further develop into terminally differentiated effectors. Gene expression profiles of FACSAria sorted CD3- CD56bright CD62L+, CD3- CD56dim CD62L+ and CD3- CD56dim CD62L- NK cells from human peripheral blood of three donors were compared using Affymetrix GeneChip Human Genome HG-U133_Plus_2. After total RNA extraction, reverse transcription, cDNA extraction, the biotinylated cRNA was transcribed, fragmented, and 15 Âµg cRNA hybridized in triplicates for each of the three groups to the GeneChip arrays. Group1: CD3- CD56bright CD62L+,.Group2: CD3- CD56dim CD62L+, Group3: CD3- CD56dim CD62L-. Lists of differentially regulated genes were created using High Performance Chip Data Analysis (HPCDA) with Bioretis database (http://www.bioretis-analysis.de). Worldwide data sharing is possible via Bioretis, please ask the authors.

Project description:Hundreds of immune cell types work in coordination to maintain tissue homeostasis. Upon infection, dramatic changes occur with the localization, migration and proliferation of the immune cells to first alert the body of the danger, confine it to limit spreading, and finally extinguish the threat and bring the tissue back to homeostasis. Since current technologies can follow the dynamics of only a limited number of cell types, we have yet to grasp the full complexity of global in vivo cell dynamics in normal developmental processes and disease. Here we devise a computational method, digital cell quantification (DCQ), which combines genomewide gene expression data with an immune cell compendium to infer in vivo dynamical changes in the quantities of 213 immune cell subpopulations. DCQ was applied to study global immune cell dynamics in mice lungs at ten time points during a 7-day time course of flu infection. We find dramatic changes in quantities of 70 immune cell types, including various innate, adaptive and progenitor immune cells. We focus on the previously unreported dynamics of four immune dendritic cell subtypes, and suggest a specific role for CD103+CD11b- cDCs in early stages of disease and CD8+ pDC in late stages of flu infection. To better understand the physiological role of these differential dynamic changes in the DCs, we measured the genome-wide RNA expression of all four DC subpopulations from lung of influenza infected mice at four time points following infections (two mice per time-point). For sorting dendritic cells from lungs, the lungs from infected and control uninfected C57BL/6J mice were immersed in cold PBS, cut into small pieces in 5 ml DMEM media containing 10% Bovine Fetal Serum, the cell suspensions were grinded using 1ml syringe cup on a 70 μm cell strainers (BD Falcon). The cells were washed with ice cold PBS. Remaining red blood cells were lysed using ammonium chloride solution (Sigma). Cells were harvested, immersed 1ml FACS buffer [PBS+2% FBS, 1mM EDTA], Fc receptors were blocked with anti-mouse CD16/CD32, washed with FACS buffer and divided into two tubes for sorting cDC and pDC cells.

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RNA-seq of NK cells from blood samples of HV and AML patients

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