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cd154 (Miltenyi Biotec)

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Miltenyi Biotec cd154
Cd154, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 93/100, based on 47 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cd154+microbead+kit/CD154+MicroBead+Kit%2C+human/pm40537813-54-10-22
Average 93 stars, based on 47 article reviews

cd154 - by Bioz Stars, 2026-11

93/100 stars

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Recombinase Polymerase Amplification:

Article Title: Cognate antigen engagement induces HIV-1 expression in latently infected CD4 + T cells from people on long-term antiretroviral therapy.
Article Snippet: .. REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies CD3-APC clone UCHT1 Biolegend Cat# 300552; RRID:AB_2564153 CD4- PE/Cy7 clone RPA-T4 Biolegend Cat# 300512; RRID:AB_314080 CD14-PE/Cy5 clone ^1D3 Invitrogen Cat# 15-0149-42; RRID:AB_2573058 CD16-PE/Cy5 clone 3G8 Biolegend Cat# 302010; RRID:AB_314210 CD69-FITC clone FN50 Biolegend Cat# 310904; RRID:AB_314839 CD154-BV421 clone 24-31 Biolegend Cat# 310824; RRID:AB_2562721 CD8 MicroBeads, human Miltenyi Biotec Cat# 130-045-201; RRID:AB_2889920 CD14 MicroBeads, UltraPure, human Miltenyi Biotec Cat# 130-118-906 CD154 Microbead kit, human Miltenyi Biotec Cat# 130-092-658 CD40 pure- fuctional grade, human clone HB14 Miltenyi Biotec Cat# 130-094-133; RRID:AB_10839704 BD FastImmune Co-Stimulatory Antibodies (CD28/CD49d) BD Biosciences Cat# 347690; RRID:AB_647457 Biological samples Demographics of study participants, see Table S1. ..

other:

Article Title: Candida albicans -specific Th17 cell-mediated response contributes to alcohol-associated liver disease
Article Snippet: Anti-human Ki-67 Alexa Fluor 700 (clone: B56) , Miltenyi Biotec , Cat#561277, RRID:AB_10611571.

Article Title: TGFβ links EBV to multisystem inflammatory syndrome in children.
Article Snippet: After stimulation, cells were stained with TotalSeq anti-human Hashtags as previously mentioned, followed by CD154 MACS enrichment according to the manufacturer’s protocol (CD154 MicroBead Kit, human; Miltenyi Biotec).

Article Title: Clustering Mycobacterium tuberculosis-specific CD154 + CD4 + T cells for distinguishing tuberculosis disease from infection based on single-cell RNA-seq analysis.
Article Snippet: To prevent internalization of CD154 (CD40 ligand), a monoclonal CD40 blocking antibody (1 μg/mL; Miltenyi Biotec, Bergisch Gladbach, Germany) was added with the stimulants.

Article Title: TGFβ links EBV to multisystem inflammatory syndrome in children
Article Snippet: After stimulation, cells were stained with TotalSeq anti-human Hashtags as previously mentioned, followed by CD154 MACS enrichment according to the manufacturer’s protocol (CD154 MicroBead Kit, human; Miltenyi Biotec).

Labeling:

Article Title: Competitive fungal commensalism mitigates candidiasis pathology.
Article Snippet: In brief, 2 × 10e7 PBMCs were plated in RPMI-1640 medium (GIBCO), supplemented with 5% (vol/vol) human AB-serum (Sigma-Aldrich) at a cell density of 1 × 10e7 PBMCs/2 cm2 in cell culture plates and stimulated with 40 μg/ml fungal lysates for 7 h in presence of 1 μg/ml CD40 and 1 μg/ml CD28 pure antibody (both Miltenyi Biotec). .. 1 μg/ml brefeldin A (SigmaAldrich) was added for the last 2 h. Cells were labeled with CD154-biotin followed by anti-biotin MicroBeads (CD154 MicroBead Kit; Miltenyi Biotec) and magnetically enriched by two sequential MS columns (Miltenyi Biotec). .. Surface staining was performed on the first column, followed by fixation, permeabilization (Inside Stain Kit; Miltenyi Biotec), and intracellular staining on the second column.

Article Title: Single cell profiling of circulating autoreactive CD4 T cells from patients with autoimmune liver diseases suggests tissue imprinting
Article Snippet: .. Barcoded populations were pooled and labeled with CD154-Biotin followed by anti-Biotin MicroBeads (CD154 MicroBead Kit, Miltenyi Biotec) and magnetically enriched by two sequential MS columns (Miltenyi Biotec). ..

Article Title: Autoantigen-specific CD4 + T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases.
Article Snippet: In brief CD4 T cells are important contributors to autoimmune disease pathology.. Saggau, Bacher et al. characterize autoantigenspecific CD4 T helper cells in various human autoimmune diseases, revealing features of exhaustion.. These findings provide insight into CD4 T cell exhaustion in the context of chronic stimulation and suggest a role for exhausted autoantigen-specific CD4 Th cells in promoting humoral autoimmunity.

Image Search Results

Frequencies of circulating CD4 + and CD4 + CD154 + Th cells in cohort 1 ( A ) Frequencies of CD4 + Th cells after stimulation with control, E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( B ) Frequencies of CD4 + CD154 + Th cells after stimulation with control, E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( C ) Frequencies of CD4 + CD154 + Th cells in sepsis patients after stimulation with control or indicated antigens ( n = 20). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Journal: Gut Pathogens

Article Title: “ Bifidobacterium longum -reactive T helper cells as marker for intestinal barrier impairment in ICU patients with sepsis”

doi: 10.1186/s13099-025-00770-9

Figure Lengend Snippet: Frequencies of circulating CD4 + and CD4 + CD154 + Th cells in cohort 1 ( A ) Frequencies of CD4 + Th cells after stimulation with control, E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( B ) Frequencies of CD4 + CD154 + Th cells after stimulation with control, E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( C ) Frequencies of CD4 + CD154 + Th cells in sepsis patients after stimulation with control or indicated antigens ( n = 20). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Article Snippet: Subsequently, cells were labeled with anti-CD154 (both cohorts) and anti-CD137 (only cohort 1) biotin antibodies followed by anti-biotin MicroBeads (CD154 & CD137 MicroBead Kit, Miltenyi Biotec, Bergisch Gladbach, Germany) and magnetically enriched with MS columns (Miltenyi Biotec, Bergisch Gladbach, Germany).

Techniques: Control

Cytokine production in antigen-reactive CD4 + CD154 + Th cells in cohort 1 ( A ) Frequencies of IFNγ producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( B ) Frequencies of TNF-α producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( C ) Frequencies of IL-2 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 20/10/20/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Journal: Gut Pathogens

Article Title: “ Bifidobacterium longum -reactive T helper cells as marker for intestinal barrier impairment in ICU patients with sepsis”

doi: 10.1186/s13099-025-00770-9

Figure Lengend Snippet: Cytokine production in antigen-reactive CD4 + CD154 + Th cells in cohort 1 ( A ) Frequencies of IFNγ producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( B ) Frequencies of TNF-α producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 20/10/20/10). ( C ) Frequencies of IL-2 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 20/10/20/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Techniques:

Frequencies of circulating CD4 + and CD4 + CD154 + Th cells in cohort 2 ( A ) Frequencies of CD4 + Th cells after stimulation with control, E. coli , C. albicans or B. longum ( n = 10/10/10). ( B ) Frequencies of CD4 + CD154 + Th cells after stimulation with control, E. coli , C. albicans , or B. longum ( n = 10/10/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Journal: Gut Pathogens

Article Title: “ Bifidobacterium longum -reactive T helper cells as marker for intestinal barrier impairment in ICU patients with sepsis”

doi: 10.1186/s13099-025-00770-9

Figure Lengend Snippet: Frequencies of circulating CD4 + and CD4 + CD154 + Th cells in cohort 2 ( A ) Frequencies of CD4 + Th cells after stimulation with control, E. coli , C. albicans or B. longum ( n = 10/10/10). ( B ) Frequencies of CD4 + CD154 + Th cells after stimulation with control, E. coli , C. albicans , or B. longum ( n = 10/10/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Techniques: Control

Cytokine production in antigen-reactive CD4 + CD154 + Th cells in cohort 2. ( A ) Frequencies of IL-17 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans , or B. longum ( n = 10/10/10). ( B ) Frequencies of IL-4 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans , or B. longum ( n = 10/10/10). ( C ) Frequencies of IL-10 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 10/10/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Journal: Gut Pathogens

Article Title: “ Bifidobacterium longum -reactive T helper cells as marker for intestinal barrier impairment in ICU patients with sepsis”

doi: 10.1186/s13099-025-00770-9

Figure Lengend Snippet: Cytokine production in antigen-reactive CD4 + CD154 + Th cells in cohort 2. ( A ) Frequencies of IL-17 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans , or B. longum ( n = 10/10/10). ( B ) Frequencies of IL-4 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans , or B. longum ( n = 10/10/10). ( C ) Frequencies of IL-10 producing CD4 + CD154 + Th cells after stimulation with E. coli , C. albicans or B. longum ( n = 10/10/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001

Techniques:

Bifidobacterium longum -reactive gut trophic Th cell signature ( A ) Frequencies of CD4 + CD154 + α4ß7 + Th cells after stimulation with E. coli , C. albicans , or B. longum ( n = 10/10/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001. ( B ) Frequencies of B. longum reactive Th cells in cohort 1 and 2. ( C ) Frequencies of IFNγ- and TNF-α producing B. longum reactive Th cells in cohort 1 and 2. ( D ) Frequencies of gut trophic α4ß7 + -expressing B. longum- reactive Th cells. (B) and (C) Merged data from both cohorts. Color code indicating respective groups

Journal: Gut Pathogens

Article Title: “ Bifidobacterium longum -reactive T helper cells as marker for intestinal barrier impairment in ICU patients with sepsis”

doi: 10.1186/s13099-025-00770-9

Figure Lengend Snippet: Bifidobacterium longum -reactive gut trophic Th cell signature ( A ) Frequencies of CD4 + CD154 + α4ß7 + Th cells after stimulation with E. coli , C. albicans , or B. longum ( n = 10/10/10). Data represented as mean ± SEM. * p < 0.05, ** p < 0.01, and *** p < 0.001. ( B ) Frequencies of B. longum reactive Th cells in cohort 1 and 2. ( C ) Frequencies of IFNγ- and TNF-α producing B. longum reactive Th cells in cohort 1 and 2. ( D ) Frequencies of gut trophic α4ß7 + -expressing B. longum- reactive Th cells. (B) and (C) Merged data from both cohorts. Color code indicating respective groups

Techniques: Expressing

a , b , GSEA using a previously defined TGFβ gene set applied to T cells ( a ) and the gene set ‘Li M200 antigen processing and presentation’ applied to monocyte clusters ( b ) depicted as both UMAP (left) and a dot plot (right). c , Schematic overview of T cell reactivation assays. d , Frequencies of overall activated (CD69 + ) and antigen-specific reactivated (CD137 + CD69 + and CD154 + CD69 + ) CD4 + or CD8 + memory T cells (T mem , CD45RO + ) from patients with MIS-C during the acute phase and at follow-up after symptoms resolved ( n = 8 patients and n = 5 different viral peptides). e , f , Frequencies of overall activated and antigen-specific reactivated cells of CD4 + and CD8 + memory T cells (T mem ; CD45RO + ) from healthy donors ( n = 6) treated with serum from patients with MIS-C ( e ; n = 7) or patients with severe COVID-19 ( f ; n = 5) with or without anti-TGFβ. Samples that were obtained more than 24 h after the start of treatment are colour-coded in yellow. Unpaired ( a , b ) or paired ( d – f ) two-tailed Mann–Whitney U -tests.

Journal: Nature

Article Title: TGFβ links EBV to multisystem inflammatory syndrome in children

doi: 10.1038/s41586-025-08697-6

Figure Lengend Snippet: a , b , GSEA using a previously defined TGFβ gene set applied to T cells ( a ) and the gene set ‘Li M200 antigen processing and presentation’ applied to monocyte clusters ( b ) depicted as both UMAP (left) and a dot plot (right). c , Schematic overview of T cell reactivation assays. d , Frequencies of overall activated (CD69 + ) and antigen-specific reactivated (CD137 + CD69 + and CD154 + CD69 + ) CD4 + or CD8 + memory T cells (T mem , CD45RO + ) from patients with MIS-C during the acute phase and at follow-up after symptoms resolved ( n = 8 patients and n = 5 different viral peptides). e , f , Frequencies of overall activated and antigen-specific reactivated cells of CD4 + and CD8 + memory T cells (T mem ; CD45RO + ) from healthy donors ( n = 6) treated with serum from patients with MIS-C ( e ; n = 7) or patients with severe COVID-19 ( f ; n = 5) with or without anti-TGFβ. Samples that were obtained more than 24 h after the start of treatment are colour-coded in yellow. Unpaired ( a , b ) or paired ( d – f ) two-tailed Mann–Whitney U -tests.

Article Snippet: After stimulation, cells were stained with TotalSeq anti-human Hashtags as previously mentioned, followed by CD154 MACS enrichment according to the manufacturer’s protocol (CD154 MicroBead Kit, human; Miltenyi Biotec).

Techniques: Two Tailed Test, MANN-WHITNEY

a , Gating strategy used in flow cytometry of the T cell reactivity assays depicted in Fig. . Cells were identified by size and granularity in a FSC-vs SSC plot, followed by doublet exclusion in an FSC-A vs. FSC-H plot. Dump + (DAPI, CD14 and CD19) + cells were also excluded. As CD3 is downregulated after T cell activation (SEB plot in second row), the gate was extended to include CD3 low CD45RO + cells. CD4 + epitope-specific T cells were identified as CD69 + CD154 + and CD8 + epitope specific T cells were identified as CD69 + CD137 + or as CD69 + CD154 + . SEB was used as a positive control for correct gating. b , Cell counts for CD69 + or CD69 + and CD154 + or CD137 + memory T cells from Fig. . c , Gating strategy used in flow cytometry of the T cell reactivity assays depicted in d. d , Frequencies of overall activated and antigen-specific reactivated cells of CD4 + and CD8 + memory T cells from six children with a confirmed infection with SARS-CoV-2 during the acute phase and follow-up upon after resolution of symptoms. e , Frequencies of overall activated and antigen-specific reactivated cells of CD4 + and CD8 + memory T cells from healthy donors ( n = 6) treated with 50 ng ml −1 TGFβ1. f , Frequencies of TCRVβ21.3 + on total T cells were quantified by Flow cytometry over time after treatment start with IVIG and methylprednisolone. Horizontal lines indicate normal range (0.9-4.9% for CD8 + T cells; 1.5-4-7% for CD4 + T cells) of TCRVβ21.3 + T cells ( n = 25, children with MIS-C). g , Significantly regulated TRBV determined by TCR sequencing of activated T cells. Dots indicate the frequency of specific TRBV in each sample relative to all TCRs sequenced. h , Frequencies of TRAV gene associated to TRBV11-2 + T cells not depicted in Fig. . i , HLA-class I haplotyping and ( j-k ) HLA-class-II haplotyping of our MIS-C cohort ( n = 20 patients and n = 10 healthy controls including the 4 children used as a control for the scRNAseq experiments). Additionally, HLA-haplotyping from a previously published MIS-C cohort ( n = 7 patients and 9 controls) was included. l-m , Sorting strategy for Fig. . P -values for ( b + d-e + h ) were determined by paired two-tailed Mann-Whitney- U -tests.

Journal: Nature

Article Title: TGFβ links EBV to multisystem inflammatory syndrome in children

doi: 10.1038/s41586-025-08697-6

Figure Lengend Snippet: a , Gating strategy used in flow cytometry of the T cell reactivity assays depicted in Fig. . Cells were identified by size and granularity in a FSC-vs SSC plot, followed by doublet exclusion in an FSC-A vs. FSC-H plot. Dump + (DAPI, CD14 and CD19) + cells were also excluded. As CD3 is downregulated after T cell activation (SEB plot in second row), the gate was extended to include CD3 low CD45RO + cells. CD4 + epitope-specific T cells were identified as CD69 + CD154 + and CD8 + epitope specific T cells were identified as CD69 + CD137 + or as CD69 + CD154 + . SEB was used as a positive control for correct gating. b , Cell counts for CD69 + or CD69 + and CD154 + or CD137 + memory T cells from Fig. . c , Gating strategy used in flow cytometry of the T cell reactivity assays depicted in d. d , Frequencies of overall activated and antigen-specific reactivated cells of CD4 + and CD8 + memory T cells from six children with a confirmed infection with SARS-CoV-2 during the acute phase and follow-up upon after resolution of symptoms. e , Frequencies of overall activated and antigen-specific reactivated cells of CD4 + and CD8 + memory T cells from healthy donors ( n = 6) treated with 50 ng ml −1 TGFβ1. f , Frequencies of TCRVβ21.3 + on total T cells were quantified by Flow cytometry over time after treatment start with IVIG and methylprednisolone. Horizontal lines indicate normal range (0.9-4.9% for CD8 + T cells; 1.5-4-7% for CD4 + T cells) of TCRVβ21.3 + T cells ( n = 25, children with MIS-C). g , Significantly regulated TRBV determined by TCR sequencing of activated T cells. Dots indicate the frequency of specific TRBV in each sample relative to all TCRs sequenced. h , Frequencies of TRAV gene associated to TRBV11-2 + T cells not depicted in Fig. . i , HLA-class I haplotyping and ( j-k ) HLA-class-II haplotyping of our MIS-C cohort ( n = 20 patients and n = 10 healthy controls including the 4 children used as a control for the scRNAseq experiments). Additionally, HLA-haplotyping from a previously published MIS-C cohort ( n = 7 patients and 9 controls) was included. l-m , Sorting strategy for Fig. . P -values for ( b + d-e + h ) were determined by paired two-tailed Mann-Whitney- U -tests.

Techniques: Flow Cytometry, Activation Assay, Positive Control, Infection, Sequencing, Control, Two Tailed Test, MANN-WHITNEY

a , Schematic showing generation of virus-specific TCR libraries and comparison of virus-specific TCRs with MIS-C-specific TCRs. scTCR-seq, single-cell TCR sequencing. b , UMAP of 22,344 virus-specific T cells from donors restimulated with EBV ( n = 5), CMV ( n = 5), SARS-CoV-2 ( n = 3) or measles ( n = 3) peptides, representing 18,010 sequenced TCRβ chains and 15,496 full TCRs. AdV-specific T cells were TCR-sequenced. Virus-specificities are colour-coded. c , TRVB11-2 + T cells superimposed on the UMAP in b . d , Gene expression superimposed on the UMAP of antigen-specific T cells, showing that most TRVB11-2 + T cells have a CD4 or CD8 cytotoxic phenotype (low: ICOS ; high: PRF1 , GZMB , LAMP1 ). e , TCR repertoires of EBV ( n = 5), CMV ( n = 5), SARS-CoV-2 ( n = 3), measles ( n = 3) and AdV ( n = 1) virus-specific T cells from healthy donors, analysed by ARTE . Heat map showing distribution of TRAV gene expression associated with TRBV11-2 -positive T cells in virus-specific and MIS-C T cells ( n = 11) T cells, compared with 6 wpi no MIS-C ( n = 4) and paediatric influenza ( n = 3) T cells. Unsupervised clustering was performed with the R package pheatmap. f , TCRVβ21.3 expression on memory T (T mem ) cells after stimulation with EBNA2 275–294 (left) or EBNA2 279–289 (right) peptides, analysed by ARTE. Frequencies of TCRVβ21.3 + in all CD4 + (top) and CD8 + (bottom) memory T cells and those with antigen-specific reactivation (CD154 + CD69 + ) from n = 7 donors. Flow cytometry gating is shown in Extended Data Fig. . Two-sided paired t -test.

Journal: Nature

Article Title: TGFβ links EBV to multisystem inflammatory syndrome in children

doi: 10.1038/s41586-025-08697-6

Figure Lengend Snippet: a , Schematic showing generation of virus-specific TCR libraries and comparison of virus-specific TCRs with MIS-C-specific TCRs. scTCR-seq, single-cell TCR sequencing. b , UMAP of 22,344 virus-specific T cells from donors restimulated with EBV ( n = 5), CMV ( n = 5), SARS-CoV-2 ( n = 3) or measles ( n = 3) peptides, representing 18,010 sequenced TCRβ chains and 15,496 full TCRs. AdV-specific T cells were TCR-sequenced. Virus-specificities are colour-coded. c , TRVB11-2 + T cells superimposed on the UMAP in b . d , Gene expression superimposed on the UMAP of antigen-specific T cells, showing that most TRVB11-2 + T cells have a CD4 or CD8 cytotoxic phenotype (low: ICOS ; high: PRF1 , GZMB , LAMP1 ). e , TCR repertoires of EBV ( n = 5), CMV ( n = 5), SARS-CoV-2 ( n = 3), measles ( n = 3) and AdV ( n = 1) virus-specific T cells from healthy donors, analysed by ARTE . Heat map showing distribution of TRAV gene expression associated with TRBV11-2 -positive T cells in virus-specific and MIS-C T cells ( n = 11) T cells, compared with 6 wpi no MIS-C ( n = 4) and paediatric influenza ( n = 3) T cells. Unsupervised clustering was performed with the R package pheatmap. f , TCRVβ21.3 expression on memory T (T mem ) cells after stimulation with EBNA2 275–294 (left) or EBNA2 279–289 (right) peptides, analysed by ARTE. Frequencies of TCRVβ21.3 + in all CD4 + (top) and CD8 + (bottom) memory T cells and those with antigen-specific reactivation (CD154 + CD69 + ) from n = 7 donors. Flow cytometry gating is shown in Extended Data Fig. . Two-sided paired t -test.

Techniques: Virus, Comparison, Sequencing, Gene Expression, Expressing, Flow Cytometry

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cd154 (Miltenyi Biotec)

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