untouched memory cd4 t cell isolation kit (Miltenyi Biotec)
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Untouched Memory Cd4 T Cell Isolation Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 95/100, based on 36 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/human+phosphorylated+rtk+array+kit/Memory+CD4%2B+T+Cell+Isolation+Kit%2C+human/pmc11703073-398-22-28
Average 95 stars, based on 36 article reviews
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1) Product Images from "Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming"
Article Title: Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming
Journal: PLOS Biology
doi: 10.1371/journal.pbio.3002943
Figure Legend Snippet: (A) Diagram depicting the culture model used to generate time course samples from healthy human CD4+ memory T cells. Cells were stimulated with CD3/CD28 Dynabeads for 12 days, with fresh beads plus full media change every other day (fresh media alone added on alternate days). Samples were collected on days highlighted in bold. (B) Multiomics workflow (see for details). Experiments were performed in biological triplicate, with proteomics, phosphoproteomics, and metabolomics done on same samples. (C) ELISA-based quantification of secreted cytokines (IL-2, IFN-γ, TNF-α) on days 0, 6, 10, and 12, 3 replicates per time point. (D) Cell counts were taken each time point, and average cell division compared to previous time point calculated. Cell viability remained stable throughout at ~75%–85%. (E) Flow cytometric analysis of inhibitory receptors PD-1, TIM-3, and TIGIT at resting, day 6, and day 12 time points. Data normalized to mode for accurate population comparisons to account for differences in number of cells analyzed. The data underlying can be found in the supplemental flow cytometry files uploaded to flowrepository.org . Figure created with BioRender.com .
Techniques Used: Phospho-proteomics, Enzyme-linked Immunosorbent Assay, Flow Cytometry
Figure Legend Snippet: Mean fluorescence intensity of PD-1 in CD4+ T cells from both HIV+ and HIV- patients (grouped due to observing same effect in both) for CD4+ cells that are CD276+ or FLT-1+. The data underlying this figure can be found in the supplemental flow cytometry files uploaded to flowrepository.org . Figure created with BioRender.com .
Techniques Used: Fluorescence, Flow Cytometry
Figure Legend Snippet: (A) Causal network analysis leveraging annotated interactions (transcription factor-target, kinase-substrate, phosphatase-substrate) as a framework to evaluate protein expression changes (late exhaustion (day 12) versus resting, taking into account previous time point comparisons) to predict key nodes (regulators) impacting most changes seen across the data set. (B) Pruned version of a large subnetwork with p300 (black outline) at main hub. Orange circles mark proteins of interest mentioned in main text. (C) Depiction of experimental design of p300 inhibition studies. (D) Flow cytometric analysis of PD-1 and TIM-3 showing shifts in fluorescent intensity of cell populations in treated versus untreated (cell number normalized to mode). Cell numbers shown for each plot are 20,312 for p300 treated and 30,438 for DMSO, which corresponds to all CD4+ T cells from the sample (excluding doublets and debris, see for gating), corresponding to >95% of sample. (E) Bar chart of mean fluorescent intensity showing significant changes ( T test) in PD-1 and TIM-3 during p300 inhibition versus controls (antigen removed for 2 days, or treatment with T-cell activation inhibitor Dasatinib); *, p -value <0.05, ***, p -value <0.005. (F) Heatmap showing recruitment of cofactors (p300, class I HDACs, KAT2B) to transcription factor family DNA motifs as measured using CASCADE protein-binding microarrays. The data underlying this figure can be found in and Data (A, B), supplemental flow cytometry files uploaded to flowrepositroy.org (D), and the (E, F). Figure created with BioRender.com .
Techniques Used: Expressing, Inhibition, Activation Assay, Protein Binding, Flow Cytometry
Figure Legend Snippet: UMAPs of CD4+ subtypes and CD8+ T exhausted tumor lymphocytes showing gene expression of (A) exhaustion-associated genes, and (B) gene expression of proteins identified in the model presented by Lawton and colleagues. UMAPs made using Single Cell Portal, Tarhan and colleagues. The data from this figure and tool used to make it can be found at https://singlecell.broadinstitute.org/single_cell/study/SCP1039/a-single-cell-and-spatially-resolved-atlas-of-human-breast-cancers . Figure created with BioRender.com .
Techniques Used: Gene Expression
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