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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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    other:

    Article Title: BCL-2 mutant B7H6-CAR-T cells synergized with venetoclax for treating small cell lung cancer.
    Article Snippet: 10.1136/jitc-2024-010073 o n J Im m u n o th er C an cer: first p u b lish ed as 3Zhang H, et al. J Immunother Cancer 2025;13:e010073. doi:10.1136/jitc-2024-010073 4% paraformaldehyde (PFA) and permeabilization with 1×Perm/Wash buffer (eBioscience) for 60 min.

    Article Title: Early NK-cell and T-cell dysfunction marks progression to severe dengue in patients with obesity and healthy weight
    Article Snippet: After fixation, the cells were washed three times with perm/wash buffer (BD/eBiosciences) and stained intracellularly with a mixture of antibodies targeting cytokines for 30 min at 4 °C.

    Article Title: Early NK-cell and T-cell dysfunction marks progression to severe dengue in patients with obesity and healthy weight.
    Article Snippet: After fixation, the cells were washed three times with perm/ wash buffer (BD/eBiosciences) and stained intracellularly with a mixture of antibodies targeting cytokines for 30min at 4 °C.

    Article Title: Detectable SARS-CoV-2 specific immune responses in recovered unvaccinated individuals 250 days post wild type infection.
    Article Snippet: After an incubation period of 30 min in darkness and at 4 °C, the plates were centrifuged, washed with FACS Buffer and resuspended in 200 μl of Foxp3 Fixation/Permeabilization working solution (1:3 mix of Fixation/Permeabilization Concentrate, ThermoFisher, Cat. No.: 00-5123-43 and eBioSciences Fixation/Perm Diluent, ThermoFisher, Cat. No.: 00-5223-56).

    Article Title: Randomized, double.-blind, placebo-controlled trial of rapamycin in amyotrophic lateral sclerosis Authors
    Article Snippet: Cells were washed and then fixed and perm with Intracellular Fixation & Permeabilization Buffer Set (eBioscience, San Diego, CA, USA).

    Article Title: CAR-T cells containing CD28 versus 4-1BB co-stimulatory domains show distinct metabolic profiles in patients.
    Article Snippet: PBMCs were washed in permeabilization buffer (FOXP3 fix/perm kit, ThermoFisher Scientific) and stained for intracellular markers using fluorophore-conjugated antibodies in permeabilization buffer for 30 minutes at room temperature in the dark.

    Saline:

    Article Title: Adjunctive ruxolitinib attenuates inflammation and enhances immunity in volunteers experimentally infected with Plasmodium falciparum .
    Article Snippet: Fixed samples were thawed; samples were washed with Smart Tube Thaw- Lyse buffer twice and washed with Cell Staining Buffer (CSB; Standard Biotools) once. .. The samples were then washed twice with perm buffer [Invitrogen 10× permeabilization buffer no. 00- 8333- 56, diluted to 1× in phosphate- buffered saline (PBS) from Standard Biotools]. .. The samples were then resuspended in 900 μl of perm buffer, and 10 μl of each Standard Biotools CellID 20plex Pd barcode was added before incubating at room temperature for 30 min. Next, the samples were centrifuged, aspirated, and washed three times by resuspension in CSB.



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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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    Thermo Fisher washing buffer reagent fix/perm cell permeabilization kit
    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 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