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permeabilization buffer perm/wash  (Thermo Fisher)


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    Thermo Fisher permeabilization buffer perm/wash
    Permeabilization Buffer Perm/Wash, supplied by Thermo Fisher, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/permeabilization+buffer+perm/permeabilization+buffer/pm40286451-176-10-13
    Average 90 stars, based on 1 article reviews
    permeabilization buffer perm/wash - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Protocol for phenotyping and isolation of dendritic cell subsets from blood and lymphoid organs of non-human primates and humans by flow cytometry
    Article Snippet: Permeabilization buffer (10X) , Invitrogen eBioscience , Cat# 12766048.

    Staining:

    Article Title: Succinate enhances mitochondrial metabolism and phagocytosis in human airspace monocytes
    Article Snippet: Cells were fixed (IC Fixation Buffer, Invitrogen) for 20 mins on ice. .. Cells were stained for intracellular markers ( ) overnight at 4°C in permeabilization buffer (eBioscience). ..

    Article Title: Integrin CD103 reveals a distinct developmental pathway of autoreactive thymocytes in TCR transgenic mice
    Article Snippet: For cytokine production analysis, freshly isolated lymph node cells were resuspended in cell culture media at 5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\times$$\end{document} × 10 6 cells/ml density and stimulated with 50 ng/ml PMA (Sigma-Aldrich), 1 μM ionomycin (Sigma-Aldrich), and 3 μg/ml Brefeldin A (Invitrogen) for 3 hours. .. Cells were then washed once with FACS buffer followed by cell surface staining, fixation by IC Fixation Buffer (eBioscience), and permeabilization with Permeabilization Buffer (eBioscience), following the manufacturer’s instructions. ..

    Article Title: Bispecific targeting of 4-1BB and CCR8 boosts antitumor immunity via Ti-Treg depletion and CD8 + activation
    Article Snippet: Surface staining was performed for 30 min on ice after a 10 min incubation on ice with an anti-mouse CD16/CD32 antibody (clone 93, Invitrogen) to block Fcγ receptors by using panels of appropriately diluted fluorochrome-conjugated antibodies against the following mouse proteins in different combinations: CD45.2 (BD Biosciences, 104), CD3 (Invitrogen, 145-2C11), CD4 (BD Biosciences, RM4-5), CD8 (eBioscience, 53-6.7), 4-1BB (eBioscience, 1785), CCR8 (Biolegand, SA214G2), CD44 (Biolegand, IM7), CD62L (Biolegand, MEL-14), PD-1 (Biolegand, 29F.1A12), Tim3 (BD Biosciences, 5D12) and a Fixable Viability Stain (BD Biosciences). .. For intracellular staining, mouse cells were fixed and permeabilized (permeabilization buffer, eBioscience) and incubated with anti-mouse FOXP3 (eBioscience, FJK-16 s) for 30 min on ice. .. For intracellular cytokine staining, mouse tumor immune infiltrates were restimulated with 50 ng/mL phorbol 12-myristate 13-acetate (PMA; Merck Millipore, 524400), 1 μg/mL ionomycin (Merck Millipore, 407952), and 1 μg/mL brefeldin A (BFA; eBioscience, 00-4506-51) for 4 h. Then, surface and intracellular staining of the cells was performed.

    Article Title: Therapeutic radiation drives leptomeningeal dissemination of medulloblastoma through an innate immune process.
    Article Snippet: In brief Radiation, the most effective treatment for medulloblastoma, induces an innate immune response and opens the bloodbrain barrier, allowing for the intravasation of tumor cells into the blood circulation.. These circulating tumor cells can seed the leptomeninges, forming metastasis, the major cause of mortality in patients, whereas inhibition of inflammation abrogates radiationinduced metastasis.

    Article Title: Simulating CD8 T cell exhaustion: A comprehensive approach
    Article Snippet: .. Then washed with permeabilization buffer from the Foxp3/Transcription Factor Staining Buffer Set (eBioscience) and incubated in 10 mM sodium ascorbate, 2 mM copper sulfate and 1 μM Alexa 647 azide dye for 30 min at room temperature. ..

    FACS:

    Article Title: Integrin CD103 reveals a distinct developmental pathway of autoreactive thymocytes in TCR transgenic mice
    Article Snippet: For cytokine production analysis, freshly isolated lymph node cells were resuspended in cell culture media at 5 \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\times$$\end{document} × 10 6 cells/ml density and stimulated with 50 ng/ml PMA (Sigma-Aldrich), 1 μM ionomycin (Sigma-Aldrich), and 3 μg/ml Brefeldin A (Invitrogen) for 3 hours. .. Cells were then washed once with FACS buffer followed by cell surface staining, fixation by IC Fixation Buffer (eBioscience), and permeabilization with Permeabilization Buffer (eBioscience), following the manufacturer’s instructions. ..

    Incubation:

    Article Title: Bispecific targeting of 4-1BB and CCR8 boosts antitumor immunity via Ti-Treg depletion and CD8 + activation
    Article Snippet: Surface staining was performed for 30 min on ice after a 10 min incubation on ice with an anti-mouse CD16/CD32 antibody (clone 93, Invitrogen) to block Fcγ receptors by using panels of appropriately diluted fluorochrome-conjugated antibodies against the following mouse proteins in different combinations: CD45.2 (BD Biosciences, 104), CD3 (Invitrogen, 145-2C11), CD4 (BD Biosciences, RM4-5), CD8 (eBioscience, 53-6.7), 4-1BB (eBioscience, 1785), CCR8 (Biolegand, SA214G2), CD44 (Biolegand, IM7), CD62L (Biolegand, MEL-14), PD-1 (Biolegand, 29F.1A12), Tim3 (BD Biosciences, 5D12) and a Fixable Viability Stain (BD Biosciences). .. For intracellular staining, mouse cells were fixed and permeabilized (permeabilization buffer, eBioscience) and incubated with anti-mouse FOXP3 (eBioscience, FJK-16 s) for 30 min on ice. .. For intracellular cytokine staining, mouse tumor immune infiltrates were restimulated with 50 ng/mL phorbol 12-myristate 13-acetate (PMA; Merck Millipore, 524400), 1 μg/mL ionomycin (Merck Millipore, 407952), and 1 μg/mL brefeldin A (BFA; eBioscience, 00-4506-51) for 4 h. Then, surface and intracellular staining of the cells was performed.

    Article Title: Salivary gland transcriptomic analysis and immunophenotyping in the IL-14α transgenic mouse model of Sjögren's disease
    Article Snippet: Following a 5 min wash in cytometry buffer, cells were fixed and permeabilized using the eBioscience FoxP3/transcription factor staining buffer set (ThermoFisher) per the manufacturer's protocol. .. Cells were then resuspended in eBioscience permeabilization buffer containing 1:100 dilutions of antibodies targeting intracellular antigens (denoted with # in ) and incubated for 16 h at 4°C in the dark. ..

    Article Title: Simulating CD8 T cell exhaustion: A comprehensive approach
    Article Snippet: .. Then washed with permeabilization buffer from the Foxp3/Transcription Factor Staining Buffer Set (eBioscience) and incubated in 10 mM sodium ascorbate, 2 mM copper sulfate and 1 μM Alexa 647 azide dye for 30 min at room temperature. ..



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    Activated CD4 + T cells bifurcate along the TCF1/BLIMP1 axis. (A) VAC063C single-cell RNAseq workflow: each sample of flow-sorted CD4 + T cells was barcoded using TotalSeq-C oligo-tagged antibodies; samples from all volunteers and time points were pooled (separately for first and third infection); and pooled samples were superloaded onto a 10X Chromium Controller (we aimed to capture 30,000 singlets per pool). GEMs encapsulating a single cell (or doublets) were then generated and from each GEM three libraries were produced: (1) the cell surface <t>barcode,</t> (2) 5′ gene expression, and (3) TCR (after amplification of the V(D)J regions). Libraries were pooled at the specified ratios and sequenced. Finally, we used PCA-based clustering to debarcode all samples and remove doublets (see Materials and methods). (B) Cell Ranger was used to align 5′ gene expression and V(D)J sequencing reads (independently for the first and third infection). Shown is the output of Cell Ranger after removing doublets and performing QC. (C–F) Data from all volunteers and time points was concatenated for UMAP analysis. The expression intensity of markers for memory (C), activation (D), and follicular helper T (T FH ) cell differentiation (E) are shown across the UMAP. The blue line represents the split between naive and memory cells whereas the green line represents the split between memory and activated cells. In F, the expression intensity of the master transcription factors associated with terminal differentiation (BLIMP1) versus the maintenance of stem-like properties (TCF1) are shown. In all cases, each UMAP is equivalent to those shown in (for cross-reference) and square brackets indicate that common protein names have been used. (G) Proposed model of T cell activation during a first-in-life malaria episode. The maintenance of stem-like T cells is essential for long-lived memory; this requires sustained expression of TCF1 to repress BLIMP1 and prevent the terminal differentiation of short-lived effector cells. In A–F, n = 3 for first and third infection.
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    Activated CD4 + T cells bifurcate along the TCF1/BLIMP1 axis. (A) VAC063C single-cell RNAseq workflow: each sample of flow-sorted CD4 + T cells was barcoded using TotalSeq-C oligo-tagged antibodies; samples from all volunteers and time points were pooled (separately for first and third infection); and pooled samples were superloaded onto a 10X Chromium Controller (we aimed to capture 30,000 singlets per pool). GEMs encapsulating a single cell (or doublets) were then generated and from each GEM three libraries were produced: (1) the cell surface <t>barcode,</t> (2) 5′ gene expression, and (3) TCR (after amplification of the V(D)J regions). Libraries were pooled at the specified ratios and sequenced. Finally, we used PCA-based clustering to debarcode all samples and remove doublets (see Materials and methods). (B) Cell Ranger was used to align 5′ gene expression and V(D)J sequencing reads (independently for the first and third infection). Shown is the output of Cell Ranger after removing doublets and performing QC. (C–F) Data from all volunteers and time points was concatenated for UMAP analysis. The expression intensity of markers for memory (C), activation (D), and follicular helper T (T FH ) cell differentiation (E) are shown across the UMAP. The blue line represents the split between naive and memory cells whereas the green line represents the split between memory and activated cells. In F, the expression intensity of the master transcription factors associated with terminal differentiation (BLIMP1) versus the maintenance of stem-like properties (TCF1) are shown. In all cases, each UMAP is equivalent to those shown in (for cross-reference) and square brackets indicate that common protein names have been used. (G) Proposed model of T cell activation during a first-in-life malaria episode. The maintenance of stem-like T cells is essential for long-lived memory; this requires sustained expression of TCF1 to repress BLIMP1 and prevent the terminal differentiation of short-lived effector cells. In A–F, n = 3 for first and third infection.
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    Activated CD4 + T cells bifurcate along the TCF1/BLIMP1 axis. (A) VAC063C single-cell RNAseq workflow: each sample of flow-sorted CD4 + T cells was barcoded using TotalSeq-C oligo-tagged antibodies; samples from all volunteers and time points were pooled (separately for first and third infection); and pooled samples were superloaded onto a 10X Chromium Controller (we aimed to capture 30,000 singlets per pool). GEMs encapsulating a single cell (or doublets) were then generated and from each GEM three libraries were produced: (1) the cell surface <t>barcode,</t> (2) 5′ gene expression, and (3) TCR (after amplification of the V(D)J regions). Libraries were pooled at the specified ratios and sequenced. Finally, we used PCA-based clustering to debarcode all samples and remove doublets (see Materials and methods). (B) Cell Ranger was used to align 5′ gene expression and V(D)J sequencing reads (independently for the first and third infection). Shown is the output of Cell Ranger after removing doublets and performing QC. (C–F) Data from all volunteers and time points was concatenated for UMAP analysis. The expression intensity of markers for memory (C), activation (D), and follicular helper T (T FH ) cell differentiation (E) are shown across the UMAP. The blue line represents the split between naive and memory cells whereas the green line represents the split between memory and activated cells. In F, the expression intensity of the master transcription factors associated with terminal differentiation (BLIMP1) versus the maintenance of stem-like properties (TCF1) are shown. In all cases, each UMAP is equivalent to those shown in (for cross-reference) and square brackets indicate that common protein names have been used. (G) Proposed model of T cell activation during a first-in-life malaria episode. The maintenance of stem-like T cells is essential for long-lived memory; this requires sustained expression of TCF1 to repress BLIMP1 and prevent the terminal differentiation of short-lived effector cells. In A–F, n = 3 for first and third infection.
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    Image Search Results


    Activated CD4 + T cells bifurcate along the TCF1/BLIMP1 axis. (A) VAC063C single-cell RNAseq workflow: each sample of flow-sorted CD4 + T cells was barcoded using TotalSeq-C oligo-tagged antibodies; samples from all volunteers and time points were pooled (separately for first and third infection); and pooled samples were superloaded onto a 10X Chromium Controller (we aimed to capture 30,000 singlets per pool). GEMs encapsulating a single cell (or doublets) were then generated and from each GEM three libraries were produced: (1) the cell surface barcode, (2) 5′ gene expression, and (3) TCR (after amplification of the V(D)J regions). Libraries were pooled at the specified ratios and sequenced. Finally, we used PCA-based clustering to debarcode all samples and remove doublets (see Materials and methods). (B) Cell Ranger was used to align 5′ gene expression and V(D)J sequencing reads (independently for the first and third infection). Shown is the output of Cell Ranger after removing doublets and performing QC. (C–F) Data from all volunteers and time points was concatenated for UMAP analysis. The expression intensity of markers for memory (C), activation (D), and follicular helper T (T FH ) cell differentiation (E) are shown across the UMAP. The blue line represents the split between naive and memory cells whereas the green line represents the split between memory and activated cells. In F, the expression intensity of the master transcription factors associated with terminal differentiation (BLIMP1) versus the maintenance of stem-like properties (TCF1) are shown. In all cases, each UMAP is equivalent to those shown in (for cross-reference) and square brackets indicate that common protein names have been used. (G) Proposed model of T cell activation during a first-in-life malaria episode. The maintenance of stem-like T cells is essential for long-lived memory; this requires sustained expression of TCF1 to repress BLIMP1 and prevent the terminal differentiation of short-lived effector cells. In A–F, n = 3 for first and third infection.

    Journal: The Journal of Experimental Medicine

    Article Title: Plasmodium falciparum infection induces T cell tolerance that is associated with decreased disease severity upon re-infection

    doi: 10.1084/jem.20241667

    Figure Lengend Snippet: Activated CD4 + T cells bifurcate along the TCF1/BLIMP1 axis. (A) VAC063C single-cell RNAseq workflow: each sample of flow-sorted CD4 + T cells was barcoded using TotalSeq-C oligo-tagged antibodies; samples from all volunteers and time points were pooled (separately for first and third infection); and pooled samples were superloaded onto a 10X Chromium Controller (we aimed to capture 30,000 singlets per pool). GEMs encapsulating a single cell (or doublets) were then generated and from each GEM three libraries were produced: (1) the cell surface barcode, (2) 5′ gene expression, and (3) TCR (after amplification of the V(D)J regions). Libraries were pooled at the specified ratios and sequenced. Finally, we used PCA-based clustering to debarcode all samples and remove doublets (see Materials and methods). (B) Cell Ranger was used to align 5′ gene expression and V(D)J sequencing reads (independently for the first and third infection). Shown is the output of Cell Ranger after removing doublets and performing QC. (C–F) Data from all volunteers and time points was concatenated for UMAP analysis. The expression intensity of markers for memory (C), activation (D), and follicular helper T (T FH ) cell differentiation (E) are shown across the UMAP. The blue line represents the split between naive and memory cells whereas the green line represents the split between memory and activated cells. In F, the expression intensity of the master transcription factors associated with terminal differentiation (BLIMP1) versus the maintenance of stem-like properties (TCF1) are shown. In all cases, each UMAP is equivalent to those shown in (for cross-reference) and square brackets indicate that common protein names have been used. (G) Proposed model of T cell activation during a first-in-life malaria episode. The maintenance of stem-like T cells is essential for long-lived memory; this requires sustained expression of TCF1 to repress BLIMP1 and prevent the terminal differentiation of short-lived effector cells. In A–F, n = 3 for first and third infection.

    Article Snippet: Next cells were permeabilized with Maxpar barcode permeabilization buffer (#201057; Fluidigm), and each sample was barcoded using Cell-ID 20-plex palladium barcodes (#201060; Fluidigm).

    Techniques: Infection, Generated, Produced, Gene Expression, Amplification, Sequencing, Expressing, Activation Assay, Cell Differentiation