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Invariant Natural Killer T-Cells

Invariant Natural Killer T-Cells (iNKT cells) are a unique subset of T lymphocytes that express a semi-invariant T cell receptor and recognize lipid antigens presented by the MHC class I-like molecule CD1d.
These cells play a critical role in regulating immune responses and have been implicated in a variety of diseases, including autoimmunity, cancer, and infectious disorders.
The PubCompare.ai platform leverages cutting-edge AI technology to help researchers discover the latest research on iNKT cells, locate protocols from literature, preprints, and patents, and identify the best protocols and products for their work.
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Most cited protocols related to «Invariant Natural Killer T-Cells»

1
Single-Cell RNA-Seq Workflow for iNKT Cells
This assay was adapted from the Smart-seq2 protocol54 (link). Single cells were sorted by flow cytometry into 96-well PCR plates containing 4 µl cell lysis buffer with RNAase inhibitor (Takara). The sort stream was adjusted carefully to ensure that the cells landed in the liquid interface. RNA loss was minimized by performing on-plate RNA extraction, reverse-transcription and whole transcriptome pre-amplification to generate ~1–10 ng of cDNA. Given that primary iNKT cells express much lower amounts of RNA per cell (0.3–1 pg) than do the cell lines that were used in the published protocol54 (link) (~10 pg/cell), we increased the concentration of primers used (0.1 µM) and the number of PCR cycles for pre-amplification (22 cycles) so that an adequate amount of cDNA was generated without primer dimers and also to avoid over-amplification. Multiple quality-control steps were introduced to ensure that consistency was maintained during the procedure for all samples. Samples that failed quality-control steps as described54 (link), were eliminated from further downstream steps and analysis. Standard qPCR was performed for housekeeping genes to ensure comparable amplification of all single-cell samples. Barcoded Illumina sequencing libraries (Nextera XT library preparation kit, Illumina) were generated using the automated platform (Biomek FXp). Libraries were sequenced on the HiSeq2500 Illumina platform to obtain 50-bp single end reads (TruSeq® Rapid Kit, Illumina).
Engel I., Seumois G., Chavez L., Samaniego-Castruita D., White B., Chawla A., Mock D., Vijayanand P, & Kronenberg M. (2016). Innate-like functions of natural killer T cell subsets result from highly divergent gene programs. Nature immunology, 17(6), 728-739.
Publication 2016
2-5A-dependent ribonuclease Biological Assay Buffers cDNA Library Cell Lines Cells DNA, Complementary Flow Cytometry Genes, Housekeeping Invariant Natural Killer T-Cells Oligonucleotide Primers Reverse Transcription Transcriptome
2
Isolation and Flow Cytometry of iNKT Cells
In all experiments, lungs were aseptically removed, minced using sterile razor blades, and incubated in 1.6 mg/ml collagenase (CLS4, Worthington Biochemicals, Lakewood, NJ) and 30 µg/ml DNAse (Sigma-Aldrich, St. Louis, MI) at 37°C for 90 min. To achieve a single-cell suspension, lung fragments were pressed through a 70-µm pore nylon cell strainer using the flat end of a sterile 3-ml syringe plunger. Enzymatic action was terminated by washing cells twice in complete RPMI (RPMI 1640 with L-glutamine and 10% fetal bovine serum (FBS)) by centrifugation at 400× g for 5 min at 4°C. Leukocytes were isolated by centrifugation over a 30–70% Percoll gradient (GE Healthcare, Piscataway, NJ). Cells were then pre-incubated for 30 min. with normal rat serum, and washed before staining. iNKT cells were identified using various antibody combinations that included PE conjugated CD1d: PBS-57 loaded tetramer (NIH, NIAID tetramer core facility, Atlanta GA), TCRβ-allophycocyanin (APC) (clone H57-597, eBioscience, San Diego, CA) and CD4-APC-eFluor750 (clone RM4-5) (eBioscience). Cells were acquired on the FACSCanto II 8 color flow cytometer (BD Biosciences, San Jose, CA) and 10,000 events within the iNKT cell gate were collected. The data were analysed with FlowJo 8.6 software (Tree Star Inc., Ashland, OR).
Maazi H., Singh A.K., Speak A.O., Lombardi V., Lam J., Khoo B., Inn K.S., Sharpe A.H., Jung J.U, & Akbari O. (2013). Lack of PD-L1 Expression by iNKT Cells Improves the Course of Influenza A Infection. PLoS ONE, 8(3), e59599.
Publication 2013
allophycocyanin Antigen T Cell Receptor, beta Chain CD1D protein, human Cells Centrifugation Clone Cells Collagenase collagenase 1 Deoxyribonucleases enzyme activity Fetal Bovine Serum Glutamine Immunoglobulins Invariant Natural Killer T-Cells Leukocytes Lung Nylons PBS 57 Percoll Serum Sterility, Reproductive Syringes Tetrameres Trees
3
Differential Gene Expression Analysis of iNKT Cell Subsets
Bulk RNA-Seq data were mapped against the mouse mm9 reference genome using tophat55 (link) (v1.4.1.,–library-type fr-secondstrand -C) and the RefSeq gene annotation downloaded from the UCSC Genome Bioinformatics Site. Sequencing read coverage per gene was counted using HTSeq-count (−m union -s yes -t exon -i gene_id, http://www-huber.embl.de/users/anders/HTSeq/). To identify differential gene expression between iNKT subsets, we performed negative binomial tests for pairwise comparisons of the NKT1, NKT2 and NKT17 cells employing the Bioconductor package DESeq. We considered genes differentially expressed between two iNKT cell subsets when the DESeq analysis resulted in a Benjamini-Hochberg adjusted P value of < 0.05 (5% FDR) and a change in expression of over twofold. A total of 2,538 unique differentially expressed genes (DEGs) were identified in any of the three pairwise cell type comparisons (Supplementary Table 2). Next, we assigned an overall state to each distinct DEG based on the combined results in the three cell-type comparisons. In each comparison, there are three possible outcomes (up, down, or non-significant). Our 2,538 DEGs showed 18 different patterns of outcomes ( Supplementary Table 3). To identify the gene-expression program that is ‘preferentially’ active in each iNKT subset, we restricted the DEGs into three groups: ~276 ‘NKT1-enriched’ genes that showed increased expression in the NKT1 subset compared to both the NKT2 and NKT17 subsets; ~329 ‘NKT2-enriched’ genes that showed increased expression in the NKT2 subset compared to both the NKT1 and NKT17 subsets; and ~260 ‘NKT17-enriched’ genes that showed increased expression in the NKT17 subset compared to both the NKT1 and NKT2 subsets. Gene sets obtained for each of three categories (as above) were analyzed using DAVID (Database for Annotation, Visualization and Integrated Discovery; Version 6.750)56 (link). Biological process and pathways enriched for genes in our data set are presented (Supplementary Table 5). The number of samples for RNA-Seq and ChIP-Seq analysis was determined based on previous analysis9 (link).
Engel I., Seumois G., Chavez L., Samaniego-Castruita D., White B., Chawla A., Mock D., Vijayanand P, & Kronenberg M. (2016). Innate-like functions of natural killer T cell subsets result from highly divergent gene programs. Nature immunology, 17(6), 728-739.
Publication 2016
Biological Processes Cells Chromatin Immunoprecipitation Sequencing Dietary Fiber DNA Library Exons Gene Annotation Gene Expression Genes Genes, vif Genome Invariant Natural Killer T-Cells Mus RNA-Seq
4
Isolation and Analysis of Lymphocyte Populations
Lymphocytes were isolated from tissues including spleen, skin-draining lymph nodes, mesenteric lymph nodes, thymus, blood, lung, small intestine intestinal epithelium (IEL), small intestine lamina propria (LPL) and liver as previously described (16 (link), 23 (link)), with the indicated mouse pre-treatments (vehicle, ARTC.2.2 nanobody or P2RX7 antagonists). Briefly, this involved digestion at 37oC for 30 minutes in DTE (SI-IEL) or 30–45 minutes in Type I Collagenase (SI-LPL, Lung), with stirring, followed by Percoll gradient centrifugation at room temperature. For secondary lymphoid organs, processing was followed by red blood cell lysis with ACK lysis buffer, at room temperature. For discrimination of vascular-associated CD8+ T cells in non-lymphoid tissues, in vivo i.v. injection of PE-conjugated CD8α antibody was performed as described (24 (link)) 3 minutes prior to sacrifice. Direct ex vivo staining and intracellular cytokine staining were performed as described previously (23 (link), 25 (link)). Briefly, cells were stimulated (as below) for 6 hours with GolgiPlug added for the final four hours. FoxP3Fix/Perm kit (eBioscience) was used for intracellular detection. Fluorochrome-conjugated antibodies were purchased from BD Biosciences, BioLegend, eBioscience, Cell Signaling Technology, Tonbo or Thermo Fisher Scientific. iNKT cells were detected using CD1d tetramers loaded with PBS-57 (provided by the NIH Tetramer Facility) and TCRβ staining, and the distinct iNKT subsets distinguished as described previously (17 (link), 18 (link)); briefly, the NKT1 cells were defined as PLZFlow T-bet+, NKT2 cells were PLZFhigh ROR-γt− T-bet− and NKT17 cells were PLZFintermediate ROR-γt+. Polyclonal CD8+ T cells were identified as TCRβ+ CD8α+ CD4−. To detect LCMV-specific CD8+ T cell responses, tetramers were prepared as described previously (26 (link)). Among LCMV-specific CD8+ T cells, the following markers were used to distinguish these respective populations: TCM (CD44+CD62L+), TEM (CD44+CD62L− CD127+), SLO TRM (in spleen, LNs: CD44+CD62L−CD69+), TRM (i.v. CD8α−CD69+/−CD103hi/int/lo). For survival assessment, cells were stained with Live/Dead (Tonbo Biosciences). For measurement of mitochondrial mass and membrane potential, cells were incubated with MTG (Thermo Fisher Scientific) and TMRE (Cell Signaling Technology) simultaneously for 15 min at 37oC prior to ex vivo staining. For assessment of proliferation upon in vitro re-stimulation, cells were stained with Ki-67 (eBiosciences) after fixation using the Foxp3 Kit (Tonbo Biosciences). Flow cytometric analysis was performed on a LSR II or LSR Fortessa (BD Biosciences) and data was analyzed using FlowJo software (Treestar).
Borges da Silva H., Wang H., Qian L.J., Hogquist K.A, & Jameson S.C. (2019). ARTC2.2/P2RX7 signaling during cell isolation distorts function and quantification of tissue-resident CD8+ T cell and iNKT subsets. Journal of immunology (Baltimore, Md. : 1950), 202(7), 2153-2163.
Publication 2019
antagonists Antibodies Antigen T Cell Receptor, beta Chain BLOOD Blood Vessel Buffers CD1D protein, human CD8-Positive T-Lymphocytes CD44 protein, human Cells Centrifugation Collagenase, Clostridium histolyticum Cytokine Digestion Discrimination, Psychology Epithelium Erythrocytes Flow Cytometry Fluorescent Dyes Germinal Center Intestines Intestines, Small Invariant Natural Killer T-Cells Lamina Propria Liver Lung Lymphocyte Lymphocytic choriomeningitis virus Lymphoid Tissue Membrane Potentials Mesentery Mitochondrial Inheritance Mus Nodes, Lymph Orphan Nuclear Receptor ROR-gammaT Passive Immunization PBS 57 Percoll Population Group Progressive Encephalomyelitis with Rigidity Protoplasm SELL protein, human Skin Spleen Tetrameres Thymus Gland Tissues
5
Glycolipid-Mediated Activation of iNKT Cells
For in vitro stimulation, murine iNKT hybridomas at 5 × 104 cells/well in 96-well plates were stimulated with an equal number of either JAWS II cells or transfected A20 cells in complete medium with glycolipids for 12 hr at 37°C, and levels of murine IL-2 secretion were determined. For some experiments, APCs were preincubated with glycolipids for 12 hr or fixed with paraformaldehyde (1% for 2 min at RT) prior to the addition of iNKT cell hybridomas. For in vitro stimulation of murine splenic iNKT cells, splenocytes from BALB/c or C57BL/6 mice were plated at 5 × 105 cells per well in complete medium in 96-well plates and stimulated with glycolipids for 48 hr at 37°C. Subsequently the levels of IL-4, IL-13, and IFN-γ in culture supernatants were quantified by capture ELISA. For assays with methyl-β-cyclodextrin (MβCD) treatment of APCs, we prepared splenic DCs with a CD11c+ cell isolation kit from Miltenyi Biotech from mice that had been injected s.c. 14 days previously with 105 Flt3-ligand-secreting B16 melanoma cells to increase the yield (Mach et al., 2000 (link)). Purified CD11c+ cells were cultured in complete medium for 18 hr with glycolipids (100 nM) as indicated, washed, and incubated at 37°C for 15 min in medium with or without 10 mM MβCD (Sigma-Aldrich) and subsequently fixed (1% paraformaldehyde) and cultured in 96-well plates at 2 × 105 cells/well with autologous splenocytes (4 × 105 cells per well). Supernatants were harvested 24 hr later for measurement of cytokines. In vivo activation of iNKT cells by i.p. glycolipid injection (4 nmoles) of female C57BL/6 mice and measurement of serum cytokines was done as previously described (Forestier et al., 2007 (link)). For determination of MβCD effects on in vivo presentation, CD11c+ purified splenic DCs from C57BL/6 mice injected s.c. 14 days previously with 105 Flt3-ligand-secreting B16 melanoma cells were cultured in complete medium with 100 nM of glycolipids for 18 hr, washed, and incubated for 15 min in RPMI-1640 with or without 10 mM MβCD. After extensive washing, the cells were injected i.p. into naive C57BL/6 mice (106 cells/mouse), and blood was collected at 2 hr and 24 hr for analysis of serum cytokine levels.
Im J.S., Arora P., Bricard G., Molano A., Venkataswamy M.M., Baine I., Jerud E.S., Goldberg M.F., Baena A., Yu K.O., Ndonye R.M., Howell A.R., Yuan W., Cresswell P., Chang Y.T., Illarionov P.A., Besra G.S, & Porcelli S.A. (2009). Kinetics and Cellular Site of Glycolipid Loading Control the Outcome of Natural Killer T Cell Activation. Immunity, 30(6), 888-898.
Publication 2009
Atrial Premature Complexes Biological Assay BLOOD CASP8 protein, human Cells Cell Separation Culture Media Cyclodextrins Cytokine Enzyme-Linked Immunosorbent Assay Females flt3 ligand Glycolipids Hybridomas Interferon Type II Interleukin-13 Invariant Natural Killer T-Cells Jaw Melanoma, B16 Mice, Inbred C57BL Mus paraform secretion Serum Spleen

Most recents protocols related to «Invariant Natural Killer T-Cells»

1
Expansion of human iNKT cells from PBMCs
Human iNKT cells were expanded from resting PBMCs of healthy donors as described before [41 (link)]. Briefly, freshly isolated PBMCs (1 x 106 cell/ml, 5 ml/well) were treated with 100 ng/ml αGalCer (KRN7000, Avanti Polar Lipids) and cultured for 13 days. 20 IU/ml human recombinant IL-2 (Proleukin, Novartis, Basel, Switzerland) was added to the cultures every other day starting from day 2. From day 6 onwards, the concentration of IL-2 was increased to 40 IU/ml. At the end of the expansion, an aliquot of each sample was collected and analysed for iNKT cell expansion by flow cytometry. Expansion was done in RPMI 1640 (Gibco, Waltham, MA, USA, or Lonza, Basel, Switzerland) supplemented with 5% (v/v) Human AB serum (Sigma-Aldrich, St. Louis, MO, USA), 1% (v/v) Penicillin/Streptomycin, 1 mM sodium pyruvate (Lonza), 1% (v/v) non-essential amino acids (Cegrogen Biotech, Stadtallendorf, Germany), 15 mM HEPES buffer (Sigma-Aldrich), and 55 μM 2-mercaptoethanol (AppliChem, Darmstadt, Germany).
Eskiocak Y.C., Ayyildiz Z.O., Gunalp S., Korkmaz A., Helvaci D.G., Dogan Y., Sag D, & Wingender G. (2023). The Ca2+ concentration impacts the cytokine production of mouse and human lymphoid cells and the polarization of human macrophages in vitro. PLOS ONE, 18(2), e0282037.
Publication 2023
2-Mercaptoethanol Amino Acids, Essential Buffers Cells Donors Flow Cytometry HEPES Homo sapiens Invariant Natural Killer T-Cells KRN 7000 Lipids Penicillins Proleukin Pyruvate Serum Sodium Streptomycin
2
Western Blot Analysis of T Cell Death Pathways
Non-MAIT CD4 and CD8 T cells (TCRβ+) were sorted into naive and memory populations with antibodies to mouse CD4, CD8, CD44 and CD62L (Fig S1). MAIT and iNKT cells were gated based on the expression of TCRβ and reactivity with either MR1-5-OP-RU or CD1d-αGalCer tetramers, respectively (Fig S1). Bulk non-MAIT conventional αβ T cells were FACS sorted as live B220−TCRβ+ cells. Purified cell populations were lysed for 30 minutes on ice with radioimmunoassay precipitation assay (RIPA) buffer (150 mM sodium chloride; 1% [v/v] Triton X-100; 1% [w/v] sodium deoxycholate; 0.1% [w/v] SDS; in 10 mM Tri-HCl) supplemented with cOmplete protease and cOmplete phosphatase inhibitor tablets (Roche) as per manufacturer’s instructions. Lysates were diluted with 4× Novex NuPage LDS Sample Buffer (ThermoFisher Scientific; Waltham, MA, USA) supplemented with beta-mercaptoethanol (Sigma; final concentration 1.25% [v/v]), and examined by routine Western blotting as previously described [19 (link)]. Apoptotic and necroptotic machinery was probed from mouse cell lysates with the following antibodies: rabbit anti-mouse RIPK1 (Cell Signaling Technologies, Danvers, MA, USA; #3493 S; Clone D94C12, 1/1,000), rabbit anti-mouse RIPK3 (ProSci #2283; Polyclonal, 1/1000), rat anti-mouse MLKL (Abcam, Cambridge, UK; #ab243142; Clone 3H1, 1/1,000), or rat anti-mouse caspase-8 (Enzo Life Sciences, New York, NY, USA; #ALX-804-448-C100; Clone 3B10, 1/1,000); and detected with donkey anti-rabbit IgG Horse Radish Peroxidase (HRP) (Merck, Kenilworth, NJ, USA; #NA-934; 1/2,000) or goat anti-rat IgG HRP (SouthernBiotech, Birmingham, AL, USA; #4030-05; 1/2,000) as appropriate. For housekeeping, Hsp90 was probed with rabbit anti-mouse Hsp90 (Cell Signalling Technology #4874; 1/1,000) and detected with donkey anti-rabbit IgG HRP (1/2,000). β-actin was detected with HRP-conjugated rabbit anti-mouse β-actin (Cell Signaling Technology #4970; Clone 13E5, 1/10,000). Blots were developed with Imobilon Forte Western HRP substrate as per manufacturer’s instructions and imaged on a ChemiDoc Touch Gel Imaging System (BioRad, Hercules, CA, USA), and analysed Image Lab Software (BioRad; version 6.1.0).
Patton T., Zhao Z., Lim X.Y., Eddy E., Wang H., Nelson A.G., Ennis B., Eckle S.B., Souter M.N., Pediongco T.J., Koay H.F., Zhang J.G., Djajawi T.M., Louis C., Lalaoui N., Jacquelot N., Lew A.M., Pellicci D.G., McCluskey J., Zhan Y., Chen Z., Lawlor K.E, & Corbett A.J. (2023). RIPK3 controls MAIT cell accumulation during development but not during infection. Cell Death & Disease, 14(2), 111.
Publication 2023
2-Mercaptoethanol Actins anti-IgG Antibodies Antigen T Cell Receptor, beta Chain Apoptosis Biological Assay Buffers Caspase-8 CD1D protein, human CD8-Positive T-Lymphocytes CD44 protein, human Cells Clone Cells Deoxycholic Acid, Monosodium Salt Dietary Fiber Equus asinus Goat Horseradish Peroxidase HSP90 Heat-Shock Proteins Invariant Natural Killer T-Cells Memory Mus Peptide Hydrolases Phosphoric Monoester Hydrolases Population Group Rabbits Radioimmunoassay RIPK1 protein, human RIPK3 protein, human SELL protein, human Sodium Chloride T-Lymphocyte Tetrameres Touch Triton X-100
3
Immunophenotyping of MAIT, iNKT, and γδ T cells
The immunophenotyping of MAIT, iNKT, and γδ T cells was performed as previously described8 (link) on cryopreserved PBMCs from P1 prepared from a sample collected at the age of three years; and as previously described10 (link) on cryopreserved PBMCs from P2 prepared from a sample collected at the age of six years. Both patients were receiving broad-spectrum antimycobacterial drugs. Briefly, staining was performed in the presence of Fcblock (Miltenyi Biotec), with Zombie-NIR live-dead exclusion dye (#423105, BioLegend), anti-CD3-Alexa532 (Clone UCHT1, # 58-0038-42, Thermo Fisher Scientific), anti-γδTCR-FITC (#11-9959-42, Thermo Fisher Scientific), anti-Vδ2-APC-Fire750 (#331420, BioLegend), anti-CD56-BV605 (clone 5.1H11, #362538, BioLegend), anti-CD4-BV750 (#5663656, BD Biosciences), anti-CD8a-BV510 (clone RPA-T8, #301047, BioLegend), anti-Vα7.2-BV711 (clone 3C10, #351731, BioLegend), anti-Vα24-Jα18-PE-Cy7 (clone 6B11, #342912, BioLegend), anti-Vδ1-Vioblue (#30-100-555, Miltenyi Biotec), anti-CD161-PE (clone HP-3G10, #339938, BioLegend) and anti-Vβ11-APC (Miltenyi Biotec) antibodies. Cells were analyzed with an Aurora cytometer (Cytek). The gating strategy for MAIT cells, iNKT cells, γδ1+ T cells, and γδ2+ T cells has been described elsewhere8 (link),69 (link).
Rosain J., Neehus A.L., Manry J., Yang R., Le Pen J., Daher W., Liu Z., Chan Y.H., Tahuil N., Türel Ö., Bourgey M., Ogishi M., Doisne J.M., Izquierdo H.M., Shirasaki T., Le Voyer T., Guérin A., Bastard P., Moncada-Velez M., Han J.E., Khan T., Rapaport F., Hong S.H., Cheung A., Haake K., Mindt B.C., Perez L., Philippot Q., Lee D., Zhang P., Rinchai D., Al Ali F., Ata M.M., Rahman M., Peel J.N., Heissel S., Molina H., Kendir-Demirkol Y., Bailey R., Zhao S., Bohlen J., Mancini M., Seeleuthner Y., Roelens M., Lorenzo L., Soudée C., Paz M.E., Gonzalez M.L., Jeljeli M., Soulier J., Romana S., L’Honneur A.S., Materna M., Martínez-Barricarte R., Pochon M., Oleaga-Quintas C., Michev A., Migaud M., Lévy R., Alyanakian M.A., Rozenberg F., Croft C.A., Vogt G., Emile J.F., Kremer L., Ma C.S., Fritz J.H., Lemon S.M., Spaan A.N., Manel N., Abel L., MacDonald M.R., Boisson-Dupuis S., Marr N., Tangye S.G., Di Santo J.P., Zhang Q., Zhang S.Y., Rice C.M., Béziat V., Lachmann N., Langlais D., Casanova J.L., Gros P, & Bustamante J. (2023). Human IRF1 governs macrophagic IFN-γ immunity to mycobacteria. Cell, 186(3), 621-645.e33.
Publication 2023
Agent, Antimycobacterial Antibodies Cells Clone Cells Fluorescein-5-isothiocyanate Invariant Natural Killer T-Cells KLRB1 protein, human Mucosal-Associated Invariant T Cells Muromonab-CD3 Patients Pharmaceutical Preparations T-Lymphocyte
4
Immunomodulatory Effects of PMBL in Grass Pollen-Induced AR
It was a 1:1 randomized, double-blind, placebo-controlled study in parallel groups (PMBL vs placebo). The study received a favorable opinion from the Bioethics Committee of the Medical University of Lublin (Resolution No KE-0254/251/2020, 26 November 2020) and was prospectively registered with ClinicalTrials.gov (Trial Registration No NCT04802616, 17 March 2021). The study was conducted in accordance with Good Clinical Practice standards, and the ethical principles that have their origin in the Declaration of Helsinki. The project was implemented in 3 centers in eastern Poland from 22 March 2021 to 29 October 2021.
The primary objectives of this study were to evaluate the effectiveness of 3-month PMBL therapy in improving the clinical course of grass pollen-induced AR in children, and above all its effect on changes in the blood level of the γδT cell subsets: Th1-like, Th2-like, Th10-like, Th17-like, Treg-like; iNKT cell subsets: iNKT1, iNKT2, iNKT10, iNKT17, iNKTreg; cytotoxic T (Tc) cell subsets: Tc1, Tc2, Tc10, Tc17, Treg-like and to assess the relationship between the level of these lymphocytes and the severity of SAR symptoms assessed using the total nasal symptom score (TNSS).
The secondary study objectives were to assess the effect of PMBL therapy on the need for oral H1-antihistamines and intranasal corticosteroids during the grass pollen season and to evaluate the safety and tolerability of this therapy.
Janeczek K., Kowalska W., Zarobkiewicz M., Suszczyk D., Mikołajczyk M., Markut-Miotła E., Morawska-Michalska I., Bakiera A., Tomczak A., Kaczyńska A., Emeryk A., Roliński J, & Piotrowska-Weryszko K. (2023). Effect of immunostimulation with bacterial lysate on the clinical course of allergic rhinitis and the level of γδT, iNKT and cytotoxic T cells in children sensitized to grass pollen allergens: A randomized controlled trial. Frontiers in Immunology, 14, 1073788.
Publication 2023
Adrenal Cortex Hormones Blood Cells Child Cytotoxic T-Lymphocytes Histamine H1 Antagonists Invariant Natural Killer T-Cells Lymphocyte Nose Placebos Poaceae Pollen Safety Th17 Cells Therapeutics
5
Isolation and Engraftment of iNKT and γδ T Cells

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Publication 2023
Biological Assay IL22 protein, human Invariant Natural Killer T-Cells Liver Mus RAG-1 Gene T-Lymphocyte

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More about "Invariant Natural Killer T-Cells"

Invariant natural killer T-cells (iNKT cells), also known as type I natural killer T-cells, are a unique subset of T lymphocytes that play a critical role in regulating immune responses.
These cells express a semi-invariant T-cell receptor (TCR) and recognize lipid antigens presented by the MHC class I-like molecule CD1d. iNKT cells have been implicated in a variety of diseases, including autoimmunity, cancer, and infectious disorders.
They can be activated by a variety of stimuli, such as the bacterial product α-galactosylceramide (α-GalCer) and the calcium ionophore ionomycin.
Researchers studying iNKT cells often utilize flow cytometry techniques, such as FACSAria, FACSAria II, FACSCalibur, FACSCanto II, and LSRFortessa, to identify and characterize these cells.
Sample preparation can involve cell fixation and permeabilization using Cytofix/Cytoperm, as well as RNA extraction using the RNeasy kit.
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