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cd4 t cells population  (Miltenyi Biotec)


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    Miltenyi Biotec cd4 t cells population
    Cd4 T Cells Population, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 96/100, based on 981 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cd4+t+cells+population/pm40228404-88-14-22?v=Miltenyi+Biotec
    Average 96 stars, based on 981 article reviews
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    Graphical abstract of the study. Transcriptomic and epigenetic landscapes of CD4 + CLA + and naïve T cells in AD and Ps. Human peripheral blood mononuclear cells were isolated from patients with moderate-to-severe AD and Ps, as well as from healthy control individuals, and cryopreserved until flow cytometry and cell sorting. Subsequent ATAC-seq and RNA-seq analyses were performed to characterize the epigenetic and transcriptomic landscapes. These analyses indicated systemic inflammation affecting both cell types and suggested transcriptomic rewiring of the JAK–STAT pathway in these diseases. Created with BioRender.com , https://BioRender.com/c03w502 .

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: Graphical abstract of the study. Transcriptomic and epigenetic landscapes of CD4 + CLA + and naïve T cells in AD and Ps. Human peripheral blood mononuclear cells were isolated from patients with moderate-to-severe AD and Ps, as well as from healthy control individuals, and cryopreserved until flow cytometry and cell sorting. Subsequent ATAC-seq and RNA-seq analyses were performed to characterize the epigenetic and transcriptomic landscapes. These analyses indicated systemic inflammation affecting both cell types and suggested transcriptomic rewiring of the JAK–STAT pathway in these diseases. Created with BioRender.com , https://BioRender.com/c03w502 .

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: Isolation, Control, Flow Cytometry, FACS, RNA Sequencing

    Cell sorting strategy of CD4 + CLA + T cells (CLA) and CD4 + naïve (naïve) T cells for ATAC-seq and RNA-seq analysis. (A) Overview of gating strategy for cell sorting and subpopulation analyses. Sorted cell populations are in gray boxes. Proportions (%) of CD4 + CLA + T cells (B) and CD4 + naïve T cells (C) among CD4 + T cells, CCR7 + T cells among CD4 + CLA + T cells (D) , Treg cells among CD4 + CLA + T cells (E) , and naïve Treg cells (F) among CD4 + naïve T cells. Median fluorescence intensity (MFI) of CD25 (G) or CCR7 (H) from CD4 + CLA + Treg cells and CD25 (I) or CCR7 (J) from CD4 + naïve Treg cells in AD, Ps, and HC. Statistical differences in proportions (%) of cell populations or MFI are compared with Kruskal–Wallis and Dunn’s multiple comparison test (* p-adjusted <= 0.05; ** p-adjusted <= 0.01; *** p-adjusted <= 0.001).

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: Cell sorting strategy of CD4 + CLA + T cells (CLA) and CD4 + naïve (naïve) T cells for ATAC-seq and RNA-seq analysis. (A) Overview of gating strategy for cell sorting and subpopulation analyses. Sorted cell populations are in gray boxes. Proportions (%) of CD4 + CLA + T cells (B) and CD4 + naïve T cells (C) among CD4 + T cells, CCR7 + T cells among CD4 + CLA + T cells (D) , Treg cells among CD4 + CLA + T cells (E) , and naïve Treg cells (F) among CD4 + naïve T cells. Median fluorescence intensity (MFI) of CD25 (G) or CCR7 (H) from CD4 + CLA + Treg cells and CD25 (I) or CCR7 (J) from CD4 + naïve Treg cells in AD, Ps, and HC. Statistical differences in proportions (%) of cell populations or MFI are compared with Kruskal–Wallis and Dunn’s multiple comparison test (* p-adjusted <= 0.05; ** p-adjusted <= 0.01; *** p-adjusted <= 0.001).

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: FACS, RNA Sequencing, Fluorescence, Comparison

    ATAC-seq analysis of CD4 + CLA + (CLA) and CD4 + naïve (naïve) T cells shows relatively few disease-linked differences in accessibility of the chromatin. (A) Principal component analysis of VST-normalized counts from ATAC-seq. (B) Volcano plots of more open (up, red color) and closed (down, blue color) chromatin areas ( p -adj < 0.05) are presented compared with HC. The peaks among the top 10 most up and the top 10 most down based on FC are presented with annotations (GREAT, single nearest gene, 1,000 kb) while annotations in bold are among the top 10 most significant differences based on adjusted p -value. (C) Venn diagrams of shared and disease-specific up- or downregulated chromatin regions ( p -adj < 0.05).

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: ATAC-seq analysis of CD4 + CLA + (CLA) and CD4 + naïve (naïve) T cells shows relatively few disease-linked differences in accessibility of the chromatin. (A) Principal component analysis of VST-normalized counts from ATAC-seq. (B) Volcano plots of more open (up, red color) and closed (down, blue color) chromatin areas ( p -adj < 0.05) are presented compared with HC. The peaks among the top 10 most up and the top 10 most down based on FC are presented with annotations (GREAT, single nearest gene, 1,000 kb) while annotations in bold are among the top 10 most significant differences based on adjusted p -value. (C) Venn diagrams of shared and disease-specific up- or downregulated chromatin regions ( p -adj < 0.05).

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques:

    RNA-seq analysis of CD4 + CLA + (CLA) and CD4 + naïve (naïve) T cells highlights differences between AD and Ps. (A) Principal component analysis of VST-normalized counts from RNA-seq. (B) Volcano blots of DEGs significantly ( p -adj < 0.05) upregulated (up, red color) or downregulated (down, blue color) compared with HC. (C) Venn diagrams of shared and disease-specific DEGs being up- or downregulated ( p -adj < 0.05).

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: RNA-seq analysis of CD4 + CLA + (CLA) and CD4 + naïve (naïve) T cells highlights differences between AD and Ps. (A) Principal component analysis of VST-normalized counts from RNA-seq. (B) Volcano blots of DEGs significantly ( p -adj < 0.05) upregulated (up, red color) or downregulated (down, blue color) compared with HC. (C) Venn diagrams of shared and disease-specific DEGs being up- or downregulated ( p -adj < 0.05).

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: RNA Sequencing

    Functional enrichment analysis of DEGs from CD4 + CLA + T cells (CLA) from patients with AD and Ps. The overlapping and specific DEGs were analyzed for functional enrichment in the Reactome database using the STRING web tool. (A) Heatmap (DESeq2 VST-normalized reads, scaled on rows) of the top 10 DEGs from each signature. (B) Enrichment analysis of differentially expressed interleukins, chemokines, and related receptors using the local network cluster (STRING) database. Shared (yellow circle) and specific upregulated (red circle) or downregulated (blue circle) genes are presented as a full STRING network (line thickness indicates the strength of data support; minimum required interaction score: medium confidence 0.4). Color-coded nodes indicate corresponding functional groups.

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: Functional enrichment analysis of DEGs from CD4 + CLA + T cells (CLA) from patients with AD and Ps. The overlapping and specific DEGs were analyzed for functional enrichment in the Reactome database using the STRING web tool. (A) Heatmap (DESeq2 VST-normalized reads, scaled on rows) of the top 10 DEGs from each signature. (B) Enrichment analysis of differentially expressed interleukins, chemokines, and related receptors using the local network cluster (STRING) database. Shared (yellow circle) and specific upregulated (red circle) or downregulated (blue circle) genes are presented as a full STRING network (line thickness indicates the strength of data support; minimum required interaction score: medium confidence 0.4). Color-coded nodes indicate corresponding functional groups.

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: Functional Assay

    Disease-related alterations in gene expression patterns associated with the JAK–STAT pathway. Heatmaps (with clustering; DESeq2 VST-normalized counts, row-scaled) of differentially expressed genes from the KEGG JAK–STAT signaling pathway (v2026.1.Hs) are shown for CD4 + CLA + (A, B) and CD4 + naïve (C, D) T cells from patients with AD and Ps compared with healthy controls.

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: Disease-related alterations in gene expression patterns associated with the JAK–STAT pathway. Heatmaps (with clustering; DESeq2 VST-normalized counts, row-scaled) of differentially expressed genes from the KEGG JAK–STAT signaling pathway (v2026.1.Hs) are shown for CD4 + CLA + (A, B) and CD4 + naïve (C, D) T cells from patients with AD and Ps compared with healthy controls.

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: Gene Expression

    Functional enrichment analysis of transcriptome changes in CD4 + naïve T cells (naïve) from patients with AD and Ps. (A) The overlapping and specific DEGs were analyzed for functional enrichment in Reactome database using the STRING web tool. Heatmap (DESeq2 VST-normalized reads, scaled on rows) of the top 10 DEGs from each signature. (B) Enrichment analysis of differentially expressed interleukins, chemokines, and related receptors using the local network cluster (STRING) database. Shared (yellow circle) and specific genes upregulated (red circle) or downregulated (blue circle) in this category are presented as full STRING network (line thickness indicates the strength of data support; minimum required interaction score: medium confidence 0.4). Color-coded nodes indicate corresponding functional groups.

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: Functional enrichment analysis of transcriptome changes in CD4 + naïve T cells (naïve) from patients with AD and Ps. (A) The overlapping and specific DEGs were analyzed for functional enrichment in Reactome database using the STRING web tool. Heatmap (DESeq2 VST-normalized reads, scaled on rows) of the top 10 DEGs from each signature. (B) Enrichment analysis of differentially expressed interleukins, chemokines, and related receptors using the local network cluster (STRING) database. Shared (yellow circle) and specific genes upregulated (red circle) or downregulated (blue circle) in this category are presented as full STRING network (line thickness indicates the strength of data support; minimum required interaction score: medium confidence 0.4). Color-coded nodes indicate corresponding functional groups.

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: Functional Assay

    Changes in the accessibility of the chromatin binding sites suggest functionally important transcription factors in CD4 + CLA + (CLA) and CD4 + naïve (naïve) T cells from patients with AD and Ps. (A–D) Which TF tool was used to identify TFs using more open (up) or more closed (down) chromatin regions from ATAC-seq in AD and Ps. No association was found with Ps CLA up regions. The top 20 TFs with the highest rank are presented as word clouds, where the top 10 up (red) or down (blue) regions are highlighted. TFs with confirmed expression by transcriptomic analysis are marked with dark edges.

    Journal: Frontiers in Immunology

    Article Title: Transcriptomic rewiring of the JAK–STAT pathway in circulating CD4 + CLA + and CD4 + naïve T cells from patients with atopic dermatitis and psoriasis

    doi: 10.3389/fimmu.2026.1782684

    Figure Lengend Snippet: Changes in the accessibility of the chromatin binding sites suggest functionally important transcription factors in CD4 + CLA + (CLA) and CD4 + naïve (naïve) T cells from patients with AD and Ps. (A–D) Which TF tool was used to identify TFs using more open (up) or more closed (down) chromatin regions from ATAC-seq in AD and Ps. No association was found with Ps CLA up regions. The top 20 TFs with the highest rank are presented as word clouds, where the top 10 up (red) or down (blue) regions are highlighted. TFs with confirmed expression by transcriptomic analysis are marked with dark edges.

    Article Snippet: PBMCs were cryopreserved until immunostaining with fluorochrome-conjugated antibodies ( ) and sorted into CD4 + CLA + and CD4 + naïve T-cell populations using an LE-MA900FP (Sony) sorter with settings provided in , followed by ATAC-seq and RNA-seq protocols and data analysis as overviewed in .

    Techniques: Binding Assay, Expressing

    Constructs for the SFTSV vaccine elicit cellular immune reactions. Two-week post-booster immunization splenocytes were collected and stimulated with each antigen. ( A ) At 48 h post-stimulation, changes in Th1 and Th2 cytokine profiles were assessed by qRT-PCR. ( B ) Splenocyte proliferation indices in immunized mice were compared with the control group. ( C ) Representative scatter plot diagrams of CD4 + and CD8 + sub-T cell populations were gated from a CD3 + population. ( D ) Upon stimulation with SFTSV antigens, the percentages in CD4 + and CD8 + T cell subpopulations were evaluated by flow cytometry. * p ≤ 0.05, ** p ≤ 0.001, *** p ≤ 0.005, and **** p ≤ 0.0001 indicate significant differences compared to the vector control. Error bar: mean ± S.D.

    Journal: Pharmaceutics

    Article Title: An mRNA-Based Multiple Antigenic Gene Expression System Delivered by Engineered Salmonella for Severe Fever with Thrombocytopenia Syndrome and Assessment of Its Immunogenicity and Protection Using a Human DC-SIGN-Transduced Mouse Model

    doi: 10.3390/pharmaceutics15051339

    Figure Lengend Snippet: Constructs for the SFTSV vaccine elicit cellular immune reactions. Two-week post-booster immunization splenocytes were collected and stimulated with each antigen. ( A ) At 48 h post-stimulation, changes in Th1 and Th2 cytokine profiles were assessed by qRT-PCR. ( B ) Splenocyte proliferation indices in immunized mice were compared with the control group. ( C ) Representative scatter plot diagrams of CD4 + and CD8 + sub-T cell populations were gated from a CD3 + population. ( D ) Upon stimulation with SFTSV antigens, the percentages in CD4 + and CD8 + T cell subpopulations were evaluated by flow cytometry. * p ≤ 0.05, ** p ≤ 0.001, *** p ≤ 0.005, and **** p ≤ 0.0001 indicate significant differences compared to the vector control. Error bar: mean ± S.D.

    Article Snippet: Finally, cells were washed with FACS running buffer (Miltenyi Biotec), and the T-cell populations CD3 + CD4 + and CD3 + CD8 + were gated from the CD3 + population and analyzed using the MacsQuant analysis system (Miltenyi Biotec).

    Techniques: Construct, Quantitative RT-PCR, Control, Flow Cytometry, Plasmid Preparation

    MAPC cells activate Tregs by increasing CD45RA + CD45RO + transitional cells. ( A ). Representative dot plots depicting CD45RA and CD45RO expression on Tregs from PBMC, 2:1, and 4:1 PBMC:MAPC cell 7-day co-cultures. Numbers represent the percent positive cells within the Treg population. Graph represents quantification of CD45RA + CD45RO + (transitional) frequencies within the Treg population. ( B ) Ki67, CTLA-4, and HLA-DR expression on CD45RA + (crimson), CD45RO + (blue), and CD45RA + RO + (gold) Tregs. Data represent mean ± SD from pooled samples of 5 independent experiments with 5 PBMC and 3 MAPC cell donors. Statistical analysis was performed using One-way ANOVA with a Tukey’s multiple comparisons test in reference to the control PBMC alone (****p < 0.0001 and ***p < 0.001).

    Journal: Scientific Reports

    Article Title: Multipotent adult progenitor cells induce regulatory T cells and promote their suppressive phenotype via TGFβ and monocyte-dependent mechanisms

    doi: 10.1038/s41598-021-93025-x

    Figure Lengend Snippet: MAPC cells activate Tregs by increasing CD45RA + CD45RO + transitional cells. ( A ). Representative dot plots depicting CD45RA and CD45RO expression on Tregs from PBMC, 2:1, and 4:1 PBMC:MAPC cell 7-day co-cultures. Numbers represent the percent positive cells within the Treg population. Graph represents quantification of CD45RA + CD45RO + (transitional) frequencies within the Treg population. ( B ) Ki67, CTLA-4, and HLA-DR expression on CD45RA + (crimson), CD45RO + (blue), and CD45RA + RO + (gold) Tregs. Data represent mean ± SD from pooled samples of 5 independent experiments with 5 PBMC and 3 MAPC cell donors. Statistical analysis was performed using One-way ANOVA with a Tukey’s multiple comparisons test in reference to the control PBMC alone (****p < 0.0001 and ***p < 0.001).

    Article Snippet: To enrich the CD45RA and CD45RO CD4 + T cell populations, CD4 + T cells were isolated using Dynabeads Untouched Human CD4 T cells kit followed by a positive selection of CD45RO + cells using CD45RO microbeads (Miltenyi Biotec) following manufacturer’s instructions.

    Techniques: Expressing, Control