A custom signature matrix can be created using data from purified cell populations. While the process to generate a custom matrix from expression profiles is straightforward, the performance of a custom matrix will depend on the quality of the data used to generate it. Immunophenotyping of leukocytes is a dynamic field with new immune populations continuing to be identified. Care should be taken in determining which immune “cell types” should be included in the signature matrix and which canonical markers should be used to isolate these populations. For example, it is clear that the population of “CD4-expressing T lymphocytes” encompasses heterogeneous populations with diverse functional phenotypes including naïve, memory, Th1, Th2, Th17, T-regulatory cells and T follicular helper cells. Replicates for each purified immune cell type are required to gauge variance in the expression profile (see 5.4 for further details). The platform and methods used to generate data for the signature matrix ideally should be identical to that applied to analysis of the mixture samples. While SVR is robust to unknown cell populations, performance can be adversely affected by genes that are highly expressed in a relevant unknown cell population (e.g., in the malignant cells) but not by any immune components present in the signature matrix. A simple option implemented in CIBERSORT to limit this effect is to remove genes highly expressed in non-hematopoietic cells or tumor cells. If expression data is available from purified tumor cells for the malignancy to be studied, this can be used as a guideline to filter other confounding genes from the signature matrix.
Th17 Cells
Th17 cells are a subset of T helper cells that play a key role in immune responses and inflammatory processes.
These cells are characterized by their production of the cytokine interleukin-17 (IL-17) and express the transcription factor RORγt.
Th17 cells are involved in the defense against extracellular pathogens and have been implicated in the pathogenesis of autoimmune diseases and chronic inflammation.
Optimizing Th17 cell research is crucial for understanding their biological functions and developing targeted therapeutics.
PubCompare.ai, an AI-powered platform, can enhance the reproducibility and accuracy of Th17 cell studies by helping researchers easily locate relevant protocols from literature, preprints, and patents, while using AI-driven comparisons to identify the best protocols and prodcuts.
Improve your Th17 cell research with the power of PubCompare.ai.
These cells are characterized by their production of the cytokine interleukin-17 (IL-17) and express the transcription factor RORγt.
Th17 cells are involved in the defense against extracellular pathogens and have been implicated in the pathogenesis of autoimmune diseases and chronic inflammation.
Optimizing Th17 cell research is crucial for understanding their biological functions and developing targeted therapeutics.
PubCompare.ai, an AI-powered platform, can enhance the reproducibility and accuracy of Th17 cell studies by helping researchers easily locate relevant protocols from literature, preprints, and patents, while using AI-driven comparisons to identify the best protocols and prodcuts.
Improve your Th17 cell research with the power of PubCompare.ai.
Most cited protocols related to «Th17 Cells»
Cells
Genes
Hematopoietic System
Leukocytes
Malignant Neoplasms
Memory
Neoplasms
Phenotype
T Follicular Helper Cells
Th17 Cells
CD4 Positive T Lymphocytes
Cells
DNA Chips
Mus
Nodes, Lymph
Spleen
Th17 Cells
TIMER is a comprehensive resource for systematic analysis of immune infiltrates across diverse cancer types (https://cistrome.shinyapps.io/timer/ ) (23 (link)). TIMER applies a deconvolution previously published statistical method (24 (link)) to infer the abundance of tumor-infiltrating immune cells (TIICs) from gene expression profiles. The TIMER database includes 10,897 samples across 32 cancer types from The Cancer Genome Atlas (TCGA) to estimate the abundance of immune infiltrates. We analyzed LAYN expression in different types of cancer and the correlation of LAYN expression with the abundance of immune infiltrates, including B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cells, via gene modules. Gene expression levels against tumor purity is displayed on the left-most panel (25 (link)). In addition, correlations between LAYN expression and gene markers of tumor-infiltrating immune cells were explored via correlation modules. The gene markers of tumor-infiltrating immune cells included markers of CD8+ T cells, T cells (general), B cells, monocytes, TAMs, M1 macrophages, M2 macrophages, neutrophils, natural killer (NK) cells, dendritic cells (DCs), T-helper 1 (Th1) cells, T-helper 2 (Th2) cells, follicular helper T (Tfh) cells, T-helper 17 (Th17) cells, Tregs, and exhausted T cells. These gene markers are referenced in prior studies (26 (link)–28 (link)). The correlation module generated the expression scatter plots between a pair of user-defined genes in a given cancer type, together with the Spearman's correlation and the estimated statistical significance. LAYN was used for the x-axis with gene symbols, and related marker genes are represented on the y-axis as gene symbols. The gene expression level was displayed with log2 RSEM.
Full text: Click here
B-Lymphocytes
CD4 Positive T Lymphocytes
CD8-Positive T-Lymphocytes
Cells
Dendritic Cells
Epistropheus
Gene Expression
Gene Modules
Genes
Genes, Neoplasm
Genetic Markers
Genome
Macrophage
Malignant Neoplasms
Monocytes
Myeloproliferative Syndrome, Transient
Natural Killer Cells
Neoplasms
Neutrophil
System, Immune
T-Lymphocyte
Th17 Cells
Type-2 Helper T Cell
Type 1 Helper T Cells
CD274 protein, human
CTLA4 protein, human
DNA Damage
Immunotherapy
Neoplasms
Th17 Cells
Wolves
X-Ray Photoelectron Spectroscopy
Acute Disease
Adoptive Transfer
Antigens
Eosinophil
Granulocyte
IL17A protein, human
Immunization
Inflammation
Interferon Type II
interleukin 18 protein, human
Lymphocyte
Monocytes
Mus
Peptides
Strains
Th17 Cells
Therapeutics
Vaccination
Most recents protocols related to «Th17 Cells»
The experimental operations were carried out following the instructions of the Cytometric Beads Array (CBA) kit (Cat: 560485, BD biosciences, USA). First, the standard samples were diluted. Then, 50 μL of a mixture of capture beads was added to the standard tubes and sample tubes and mixed well, followed by 50 μL Th1/Th2/Th17 PE detection reagent being added to each tube. The tubes were incubated in the dark at room temperature for 2 h. After washing, the precipitates were resuspended and detected by the FACS Calibur (LSRFortessa SORP, BD biosciences, USA), followed by analyzation using FCAP Array software (Cat: 652099, BD biosciences, USA).
Full text: Click here
Th17 Cells
Protocol full text hidden due to copyright restrictions
Open the protocol to access the free full text link
Anti-Antibodies
Antibodies, Anti-Idiotypic
CD4 Positive T Lymphocytes
Cells
CY5.5 cyanine dye
Cytokine
Fluorescein-5-isothiocyanate
Fluorescent Antibody Technique
Helper-Inducer T-Lymphocyte
IFNG protein, mouse
IL2RA protein, human
Ionomycin
ITGAM protein, human
Mus
Proteins
Protoplasm
Regulatory T-Lymphocytes
Tetradecanoylphorbol Acetate
Th17 Cells
Type-2 Helper T Cell
The gene sets of 28 immune cells and four classes of immune factors were downloaded from TISIDB database.3 The following 28 types of immune cells were obtained: central memory CD4+ T cells (CD4+ Tcm), central memory CD8+ T cells (CD8+ Tcm), type-2 T helper cells (Th2), CD56dim natural killer cells (CD56− NK), activated CD8+ T cells (CD8+ Ta), activated CD4+ T cells (CD4+ Ta), activated B cells (Ba), effector memory CD8+ T cells (CD8+ Tem), effector memory CD4+ T cells (CD4+ Tem), macrophages, eosinophils, memory B cells (Bm), immature dendritic cells (DCi), gamma delta T cells (γδT), CD56bright natural killer cells (CD56+ NK), monocytes, mast cells, natural killer cells (NK), immature B cells (Bi), type-1 T helper cells (Th1), neutrophils, plasmacytoid dendritic cells (DCp), natural killer T cells (NK T), type-17 T helper cells (Th17), follicular helper T cells (Tfh), regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSC), and activated dendritic cells (DCa). The four classes of immune factors include 41 chemokines, 24 immunosuppressive factors, 46 immunostimulatory factors, and 18 immune receptors.
The ssGSEA algorithm, which classifies gene sets with common biological functions, physiological regulation, and chromosomal localization, was employed via R packages (GSVA 1.42.0) to comprehensively assess the immunologic characteristics of each sample included in the analyses (Hänzelmann et al., 2013 (link)). Normalized data of gene expression profiles were compared with the gene sets to demonstrate the enrichment of immune cells in each AD brain samples. Then, ANOVA was adopted to identify immune cell types with significant differences between the groups with longer lifespan and shorter lifespan. Pearson correlations between the gene expression level of each hub gene and the concentrations of immune cells were carried out using cor.test in R software (version: 4.0.3). The hub genes were identified in 2.4.
The correlations between the gene expression levels of each hub gene and the gene sets of immune factors were also calculated, respectively. Then, the pairs of hub genes and immune-related molecules with |cor| > 0.6 & p value<0.05 were selected to generate a circos plot via Cytoscape.
The ssGSEA algorithm, which classifies gene sets with common biological functions, physiological regulation, and chromosomal localization, was employed via R packages (GSVA 1.42.0) to comprehensively assess the immunologic characteristics of each sample included in the analyses (Hänzelmann et al., 2013 (link)). Normalized data of gene expression profiles were compared with the gene sets to demonstrate the enrichment of immune cells in each AD brain samples. Then, ANOVA was adopted to identify immune cell types with significant differences between the groups with longer lifespan and shorter lifespan. Pearson correlations between the gene expression level of each hub gene and the concentrations of immune cells were carried out using cor.test in R software (version: 4.0.3). The hub genes were identified in 2.4.
The correlations between the gene expression levels of each hub gene and the gene sets of immune factors were also calculated, respectively. Then, the pairs of hub genes and immune-related molecules with |cor| > 0.6 & p value<0.05 were selected to generate a circos plot via Cytoscape.
Full text: Click here
B-Lymphocytes
Biological Processes
Brain
CD4 Positive T Lymphocytes
CD8-Positive T-Lymphocytes
Central Memory T Cells
Chemokine
Chromosomes
Dendritic Cells
Effector Memory T Cells
Eosinophil
Gene Expression
Genes
Helper-Inducer T-Lymphocyte
Immature B-Lymphocyte
Immunization
Immunologic Factors
Immunosuppressive Agents
Intraepithelial Lymphocytes
Macrophage
Mast Cell
Memory B Cells
Monocytes
Myeloid-Derived Suppressor Cells
Natural Killer Cells
Natural Killer T-Cells
neuro-oncological ventral antigen 2, human
Neutrophil
physiology
Plasmacytoid Dendritic Cells
Receptors, Immunologic
Regulatory T-Lymphocytes
Th17 Cells
Type-2 Helper T Cell
Type 1 Helper T Cells
Fluorochrome-conjugated anti-mouse CD4 (RM4-5), CD8a (53-6.7), CD11b (M1/70), CD11c (N418), CD45.1 (A20), CD45.2 (104), CD80 (16-10A1), CD86 (GL1), I-A/E (M5/114.15.2), IFN-γ (XMG1.2), and IL-17A (eBio17B7), and CD135 (A2F10) were obtained from eBioscience and CD115 (T38-320) was obtained from BD Biosciences. All antibody dilutions were 1:200. Cell death and apoptosis were analyzed using an Annexin V/Propidium iodide (PI) staining kit (eBioscience, 88-8007-74) according to the manufacturer’s protocol. Cell proliferation was determined using CFSE staining (Molecular Probes, C1157). Aldehyde dehydrogenase (ALDH) activity was measured in the BMDCs using an ALDEFLUOR Kit (STEMCELL Technologies, 01700) according to the manufacturer’s protocol. For the intracellular detection of IFN-γ and IL-17A, cells were fixed and permeabilized with Foxp3/Transcription Factor Staining Buffer Set (eBioscience, 00-5523-00) and incubated for 30 min on ice with the relevant antibodies diluted in Permeabilization buffer (eBioscience). Cytokines secreted into culture media were quantified using the CBA Mouse Inflammation Kit (BD Biosciences, 552364) and the CBA Mouse Th1/Th2/Th17 Cytokine Kit (BD Biosciences, 560485). Stained cells or samples were analyzed using flow cytometry with the FACSVerse system (BD Biosciences) and a FACS LSR Fortessa flow cytometer (BD Biosciences). All flow cytometry data collected by FACSuite (BD Biosciences) and FACSDiva (BD Biosciences) were analyzed using the FlowJo software (Treestar). CBA data were analyzed using FCAP Array software (BD Biosciences). Three biological replicates were performed for each condition.
Full text: Click here
5-(6)-carboxyfluorescein diacetate succinimidyl ester
Annexin A5
Antibodies
Apoptosis
Biopharmaceuticals
Buffers
Cell Death
Cell Proliferation
Cells
Culture Media
Cytokine
Dehydrogenase, Aldehyde
Flow Cytometry
Fluorescent Dyes
Immunoglobulins
Inflammation
Interferon Type II
Interleukin-17A
ITGAM protein, human
Mice, Inbred CBA
Molecular Probes
Mus
Propidium Iodide
Protoplasm
Stem Cells
Technique, Dilution
Th17 Cells
Transcription Factor
CD4+ T cell in vitro differentiation with BMDCs was performed as previously described49 (link). In brief, CD4+ naive T cells were isolated from the spleen of C57BL6 mice using the MagniSort Mouse CD4+ Naïve T cell Enrichment Kit (eBioscience, 8804-6824-74). Naive CD4+ T cells (1 × 105 cells/well) and CD11c+ BMDCs (1 × 104 cells/well) were co-cultured in the presence of soluble anti-CD3ε (0.15 μg/mL; BioLegend, 100331) for 4 days. For Th1 differentiation, BMDCs were treated with LPS (100 ng/mL). For Th17 differentiation, BMDCs were stimulated with LPS (100 ng/mL) and TGF-β (3 ng/mL; Peprotech, 100-21 C). In vitro differentiated CD4+ T cells were incubated with 50 μg/mL PMA (Sigma, P1585) and 1 μg/mL ionomycin (Sigma, I3909) in the presence of brefeldin A (eBioscience, B6542) for 4 h before intracellular cytokine staining analysis. Three biological replicates were performed for each condition.
Full text: Click here
Biopharmaceuticals
Brefeldin A
CD3E protein, human
CD4 Positive T Lymphocytes
Cells
Cytokine
Ionomycin
Mus
Protoplasm
Spleen
Th17 Cells
Transforming Growth Factor beta
Top products related to «Th17 Cells»
Sourced in United States, Germany, United Kingdom, Macao, France, Italy, China, Canada, Switzerland, Sao Tome and Principe, Australia, Japan, Belgium, Denmark, Netherlands, Israel, Chile, Spain
Ionomycin is a laboratory reagent used in cell biology research. It functions as a calcium ionophore, facilitating the transport of calcium ions across cell membranes. Ionomycin is commonly used to study calcium-dependent signaling pathways and cellular processes.
Sourced in United States, United Kingdom, Germany, China, Austria, Canada, Japan, Israel, France, Sweden, Italy, Switzerland
IL-6 is a lab equipment product that measures the concentration of interleukin-6 (IL-6), a cytokine involved in various biological processes. The core function of this product is to quantify IL-6 levels in samples.
Sourced in United States, Germany, United Kingdom, Belgium, China, Australia, France, Japan, Italy, Spain, Switzerland, Canada, Uruguay, Netherlands, Czechia, Jersey, Brazil, Denmark, Singapore, Austria, India, Panama
The FACSCanto II is a flow cytometer instrument designed for multi-parameter analysis of single cells. It features a solid-state diode laser and up to four fluorescence detectors for simultaneous measurement of multiple cellular parameters.
Sourced in United States, Germany, United Kingdom, China, Canada, Japan, Italy, France, Belgium, Switzerland, Singapore, Uruguay, Australia, Spain, Poland, India, Austria, Denmark, Netherlands, Jersey, Finland, Sweden
The FACSCalibur is a flow cytometry system designed for multi-parameter analysis of cells and other particles. It features a blue (488 nm) and a red (635 nm) laser for excitation of fluorescent dyes. The instrument is capable of detecting forward scatter, side scatter, and up to four fluorescent parameters simultaneously.
Sourced in United States, Germany, United Kingdom, China, Canada, Japan, Belgium, France, Spain, Italy, Australia, Finland, Poland, Switzerland, Cameroon, Uruguay, Denmark, Jersey, Moldova, Republic of, Singapore, India, Brazil
The FACSCalibur flow cytometer is a compact and versatile instrument designed for multiparameter analysis of cells and particles. It employs laser-based technology to rapidly measure and analyze the physical and fluorescent characteristics of cells or other particles as they flow in a fluid stream. The FACSCalibur can detect and quantify a wide range of cellular properties, making it a valuable tool for various applications in biology, immunology, and clinical research.
Sourced in United States, Germany, United Kingdom, France, Italy, China, Canada, Switzerland, Sao Tome and Principe, Macao, Poland, Japan, Australia, Belgium, Hungary, Netherlands, India, Denmark, Chile
The PMA is a versatile laboratory equipment designed for precision measurement and analysis. It functions as a sensitive pressure transducer, accurately measuring and monitoring pressure levels in various applications. The PMA provides reliable and consistent data for research and testing purposes.
Sourced in United States, United Kingdom, Germany, China, Japan, Canada, Sweden, France, Switzerland, Mongolia, Czechia, Austria, Israel
IL-6 is a recombinant human interleukin-6 protein. Interleukin-6 is a multifunctional cytokine that regulates immune response, inflammation, and hematopoiesis.
Sourced in United States, United Kingdom, Germany, China, Israel, Austria, Canada, France
TGF-β is a laboratory equipment product from Thermo Fisher Scientific. It is a cytokine that plays a key role in the regulation of cell growth, differentiation, and other cellular functions.
Sourced in United States, United Kingdom, Germany, Macao, France, Cameroon, China, Belgium, Canada, Japan, Switzerland, Uruguay
GolgiStop is a cell culture reagent that inhibits protein transport from the endoplasmic reticulum to the Golgi apparatus, thereby preventing the secretion of newly synthesized proteins. It is a useful tool for investigating protein trafficking and localization in cells.
Sourced in United States, United Kingdom, France, Germany
FCAP Array software is a data analysis tool designed for use with BD's FCAP Array assays. The software provides automated data analysis and reporting capabilities for multiplex immunoassay experiments.
More about "Th17 Cells"
Th17 Cells: Crucial Players in Immune Response and Inflammation Th17 cells, a specialized subset of T helper cells, play a pivotal role in the immune system's defense against extracellular pathogens.
These cells are characterized by their production of the cytokine interleukin-17 (IL-17) and the expression of the transcription factor RORγt.
Th17 cells are involved in a wide range of biological processes, from immune responses to inflammatory conditions.
They are crucial in fighting off infections caused by bacteria, fungi, and certain viruses.
However, dysregulation of Th17 cells has been implicated in the pathogenesis of autoimmune diseases and chronic inflammation.
To better understand the functions and therapeutic potential of Th17 cells, researchers often utilize various tools and techniques.
Common methods include cell culture with Ionomycin and PMA, flow cytometry analysis using FACSCanto II or FACSCalibur instruments, and cytokine measurements with techniques like ELISA and FCAP Array software.
Optimizing Th17 cell research is crucial for developing targeted therapies.
Researchers can leverage platforms like PubCompare.ai to easily locate relevant protocols from literature, preprints, and patents, while utilizing AI-driven comparisons to identify the best protocols and products.
This can enhance the reproducibility and accuracy of Th17 cell studies, ultimately leading to a better understanding of these important immune cells and their role in health and disease.
By incorporating synonyms, related terms, and key subtopics, this comprehensive overview provides a deeper dive into the world of Th17 cells, empowering researchers to advance their investigations and unlock new insights.
These cells are characterized by their production of the cytokine interleukin-17 (IL-17) and the expression of the transcription factor RORγt.
Th17 cells are involved in a wide range of biological processes, from immune responses to inflammatory conditions.
They are crucial in fighting off infections caused by bacteria, fungi, and certain viruses.
However, dysregulation of Th17 cells has been implicated in the pathogenesis of autoimmune diseases and chronic inflammation.
To better understand the functions and therapeutic potential of Th17 cells, researchers often utilize various tools and techniques.
Common methods include cell culture with Ionomycin and PMA, flow cytometry analysis using FACSCanto II or FACSCalibur instruments, and cytokine measurements with techniques like ELISA and FCAP Array software.
Optimizing Th17 cell research is crucial for developing targeted therapies.
Researchers can leverage platforms like PubCompare.ai to easily locate relevant protocols from literature, preprints, and patents, while utilizing AI-driven comparisons to identify the best protocols and products.
This can enhance the reproducibility and accuracy of Th17 cell studies, ultimately leading to a better understanding of these important immune cells and their role in health and disease.
By incorporating synonyms, related terms, and key subtopics, this comprehensive overview provides a deeper dive into the world of Th17 cells, empowering researchers to advance their investigations and unlock new insights.