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cd14 positive magnetic beads  (Miltenyi Biotec)


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    Structured Review

    Miltenyi Biotec cd14 positive magnetic beads
    Cd14 Positive Magnetic Beads, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 98/100, based on 4686 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cd14+positive+magnetic+beads/CD14+MicroBeads%2C+human/bio_rxiv__64898__2026__03__15__711864-141-13-17
    Average 98 stars, based on 4686 article reviews
    cd14 positive magnetic beads - by Bioz Stars, 2026-10
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    Related Articles

    Isolation:

    Article Title: Supporting Information for Threonine Phosphorylation of STAT1 Restricts Interferon Signaling and Promotes Innate Inflammatory Responses
    Article Snippet: The pellet was resuspended in 1 ml of PBS with 2% BSA, and the viability of each sample was assessed by counting using trypan blue and a Countess II FL Automated Cell Counter (Thermo Fisher Scientific). .. Monocytes were isolated using CD14 positive magnetic beads (human CD14 microbeads, Miltenyi Biotec, 130- 050-201) according to manufacturer’s protocol. .. In brief, 1x107 of PBMCs were incubated with 20 μL of CD14 positive magnetic beads on ice for 15 minutes, then isolated by autoMACS Pro Separator (Miltenyi Biotec) using positive selection.

    Article Title: Aging-associated endolysosomal decline drives inflammaging and neurodegeneration through the STING-IFN-I axis
    Article Snippet: .. PBMCs were washed in PBS and monocytes were isolated by the use of CD14 positive magnetic beads (Milteny, #130-050-201). ..

    Article Title: Development of Endotoxin Tolerance Does Not Influence the Response to a Challenge with the Mucosal Live-Attenuated Influenza Vaccine in Humans In Vivo
    Article Snippet: The mononuclear cell fraction was isolated by density centrifugation of EDTA anticoagulated blood, diluted 1:1 in pyrogen-free saline over Ficoll-Paque (GE Healthcare, UK). .. Isolated cells were washed twice in PBS, and monocyte isolation was subsequently performed using CD14 positive magnetic beads (MACS Miltenyi). ..

    Magnetic Beads:

    Article Title: Supporting Information for Threonine Phosphorylation of STAT1 Restricts Interferon Signaling and Promotes Innate Inflammatory Responses
    Article Snippet: The pellet was resuspended in 1 ml of PBS with 2% BSA, and the viability of each sample was assessed by counting using trypan blue and a Countess II FL Automated Cell Counter (Thermo Fisher Scientific). .. Monocytes were isolated using CD14 positive magnetic beads (human CD14 microbeads, Miltenyi Biotec, 130- 050-201) according to manufacturer’s protocol. .. In brief, 1x107 of PBMCs were incubated with 20 μL of CD14 positive magnetic beads on ice for 15 minutes, then isolated by autoMACS Pro Separator (Miltenyi Biotec) using positive selection.

    Article Title: Aging-associated endolysosomal decline drives inflammaging and neurodegeneration through the STING-IFN-I axis
    Article Snippet: .. PBMCs were washed in PBS and monocytes were isolated by the use of CD14 positive magnetic beads (Milteny, #130-050-201). ..

    Article Title: Development of Endotoxin Tolerance Does Not Influence the Response to a Challenge with the Mucosal Live-Attenuated Influenza Vaccine in Humans In Vivo
    Article Snippet: The mononuclear cell fraction was isolated by density centrifugation of EDTA anticoagulated blood, diluted 1:1 in pyrogen-free saline over Ficoll-Paque (GE Healthcare, UK). .. Isolated cells were washed twice in PBS, and monocyte isolation was subsequently performed using CD14 positive magnetic beads (MACS Miltenyi). ..

    Magnetic Cell Separation:

    Article Title: Development of Endotoxin Tolerance Does Not Influence the Response to a Challenge with the Mucosal Live-Attenuated Influenza Vaccine in Humans In Vivo
    Article Snippet: The mononuclear cell fraction was isolated by density centrifugation of EDTA anticoagulated blood, diluted 1:1 in pyrogen-free saline over Ficoll-Paque (GE Healthcare, UK). .. Isolated cells were washed twice in PBS, and monocyte isolation was subsequently performed using CD14 positive magnetic beads (MACS Miltenyi). ..



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    Immune cell recruitment and TRAP5 expression in patient samples. (A) Human leukocytes were treated with rhM-CSF for 5 days. Cells were then transfected with TRAP5-targeting siRNA or scrambled siRNA control. (B) Cells were added to a transwell assay and <t>CD14+</t> cells were measured in the basal well after 72h of RANKL stimulation. Statistical analysis was conducted using one-way ANOVA with a Dunnet’s post hoc test (***P<0.001). (C) Immunoblotting for TRAP5b from human macrophage cell lysates. (D) TRAP5a and 5b levels in human BALF collected from patients exposed to swine dust. TRAP isoform levels were determined via enzyme-linked immunosorbent assay (ELISA). Results represent the mean and standard deviation of all the samples run. Statistical analysis was performed using Student’s t-test ( ** P< 0.01). (E) Immunohistochemical detection of TRAP5a/OPN in human lung tissue using a proximity-ligation assay (Navinci), with interactions between the two molecules shown in green. Images show (a) OPN and TRAP5a in small airways, (b) in alveolar macrophages and (c) capillaries. The red arrows show the TRAP5a positive cells. Image (a): 40x magnification. Images (b, c): 60x magnification. (F) Pseudomonas aeruginosa killing assay showing bacterial killing following hBD3, SLPI, and LL37 (0.1 μM) following incubation with either dOPN or pOPN. Statistical analysis was conducted using one-way ANOVA with a Dunnet’s post hoc test ( *P < 0.05). (G) SPR sensorgrams illustrating interactions between hBD3, SLPI, LL37, and dOPN/pOPN. NS-not significant.
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    Generation and characterization of avatar mice. (A) Schematic indicating the procedure by which to generate mouse avatars. HuPBLs <t>(CD14</t> negative PBMC fraction) are transplanted at day 0. CD14 + cells from the same donor are incubated with GM-CSF and IL-4 to generate immature monocyte-derived DCs, which are then infected with EBOV at an MOI of 1 and transplanted at day 5. (B) Frequency of human hematopoietic cells (hCD45 + ) in the peripheral blood of avatar mice at the indicated time points. Data are shown as the mean ± the standard error the mean (SEM). (C) Representative flow cytometry plots of the data shown in panel B. (D) Frequency of CD8 + central memory, effector memory, naive and effector T cells (TEMRA) at the indicated time points in the peripheral blood of avatar mice, as assessed by flow cytometry. (E) Frequency of CD4 + central memory, effector memory, naive and effector T cells (TEMRA) at the indicated time points in the peripheral blood of avatar mice, as assessed by flow cytometry.
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    STEMCELL Technologies Inc cd14 + magnetic beads easysep human cd14 positive selection kit ii
    The intestinal microenvironment of Crohn’s disease patients promotes an inflammatory transcriptome in blood monocytes. [A–C] Differentially expressed transcriptomic pathways in blood <t>CD14</t> + monocytes from healthy donors treated for 5 h with [A] TREM-1 agonist antibody [5 µg/mL], [B] LP-CM from three controls or [C] LP-CM from three Crohn’s disease patients. Quantification of gene expression was done with the NanoString nCounter Human Myeloid Innate Immunity V2 Panel. Pathway signature scores condense each sample’s gene expression profile into a small set of pathway scores. An experiment can then be explored through the lens of pathway signature scores instead of in the much higher-dimension lens of gene expression values. Pathway signature scores are fit using the first principal component of each gene set’s data. They are orientated such that an increasing score corresponds to mostly increasing expression [specifically, each pathway score has positive weights for at least half its genes]. Covariates plots compare pathway signature scores to covariates. Red triangles and green triangles help to show the relative increase and decrease in pathways, respectively, compared to the control condition. [D] The 38 molecules that increased by a minimum two-fold in LP-CM from the three Crohn’s disease patients compared to LP-CM from the three controls. The fold change is based on the mean of the three values per group. [E] LP-CM inflammation score for each sample. This score is the mean of the linear NPX values [see Section 2.6] of the 38 proteins shown in D as a way to get a relative quantification of the inflammation status of the individuals analysed. [F] Correlations between the LP-CM inflammation scores and the top ten increased genes in human blood CD14 + monocytes treated with the Crohn’s disease LP-CM compared to cells treated with the control LP-CM [see ]. [G] Correlations between the LP-CM inflammation scores and the frequency of cells in the same individual determined by flow cytometry [gated as in ]. [F, G] Correlations were assessed by Spearman’s test. Abbreviations: Ctr, controls; LP-CM, lamina propria conditioned media; Mfs, macrophages.
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    The intestinal microenvironment of Crohn’s disease patients promotes an inflammatory transcriptome in blood monocytes. [A–C] Differentially expressed transcriptomic pathways in blood <t>CD14</t> + monocytes from healthy donors treated for 5 h with [A] TREM-1 agonist antibody [5 µg/mL], [B] LP-CM from three controls or [C] LP-CM from three Crohn’s disease patients. Quantification of gene expression was done with the NanoString nCounter Human Myeloid Innate Immunity V2 Panel. Pathway signature scores condense each sample’s gene expression profile into a small set of pathway scores. An experiment can then be explored through the lens of pathway signature scores instead of in the much higher-dimension lens of gene expression values. Pathway signature scores are fit using the first principal component of each gene set’s data. They are orientated such that an increasing score corresponds to mostly increasing expression [specifically, each pathway score has positive weights for at least half its genes]. Covariates plots compare pathway signature scores to covariates. Red triangles and green triangles help to show the relative increase and decrease in pathways, respectively, compared to the control condition. [D] The 38 molecules that increased by a minimum two-fold in LP-CM from the three Crohn’s disease patients compared to LP-CM from the three controls. The fold change is based on the mean of the three values per group. [E] LP-CM inflammation score for each sample. This score is the mean of the linear NPX values [see Section 2.6] of the 38 proteins shown in D as a way to get a relative quantification of the inflammation status of the individuals analysed. [F] Correlations between the LP-CM inflammation scores and the top ten increased genes in human blood CD14 + monocytes treated with the Crohn’s disease LP-CM compared to cells treated with the control LP-CM [see ]. [G] Correlations between the LP-CM inflammation scores and the frequency of cells in the same individual determined by flow cytometry [gated as in ]. [F, G] Correlations were assessed by Spearman’s test. Abbreviations: Ctr, controls; LP-CM, lamina propria conditioned media; Mfs, macrophages.
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    Image Search Results


    Immune cell recruitment and TRAP5 expression in patient samples. (A) Human leukocytes were treated with rhM-CSF for 5 days. Cells were then transfected with TRAP5-targeting siRNA or scrambled siRNA control. (B) Cells were added to a transwell assay and CD14+ cells were measured in the basal well after 72h of RANKL stimulation. Statistical analysis was conducted using one-way ANOVA with a Dunnet’s post hoc test (***P<0.001). (C) Immunoblotting for TRAP5b from human macrophage cell lysates. (D) TRAP5a and 5b levels in human BALF collected from patients exposed to swine dust. TRAP isoform levels were determined via enzyme-linked immunosorbent assay (ELISA). Results represent the mean and standard deviation of all the samples run. Statistical analysis was performed using Student’s t-test ( ** P< 0.01). (E) Immunohistochemical detection of TRAP5a/OPN in human lung tissue using a proximity-ligation assay (Navinci), with interactions between the two molecules shown in green. Images show (a) OPN and TRAP5a in small airways, (b) in alveolar macrophages and (c) capillaries. The red arrows show the TRAP5a positive cells. Image (a): 40x magnification. Images (b, c): 60x magnification. (F) Pseudomonas aeruginosa killing assay showing bacterial killing following hBD3, SLPI, and LL37 (0.1 μM) following incubation with either dOPN or pOPN. Statistical analysis was conducted using one-way ANOVA with a Dunnet’s post hoc test ( *P < 0.05). (G) SPR sensorgrams illustrating interactions between hBD3, SLPI, LL37, and dOPN/pOPN. NS-not significant.

    Journal: Frontiers in Immunology

    Article Title: Tartrate resistant acid phosphatase 5 (TRAP5) mediates immune cell recruitment in a murine model of pulmonary bacterial infection

    doi: 10.3389/fimmu.2022.1079775

    Figure Lengend Snippet: Immune cell recruitment and TRAP5 expression in patient samples. (A) Human leukocytes were treated with rhM-CSF for 5 days. Cells were then transfected with TRAP5-targeting siRNA or scrambled siRNA control. (B) Cells were added to a transwell assay and CD14+ cells were measured in the basal well after 72h of RANKL stimulation. Statistical analysis was conducted using one-way ANOVA with a Dunnet’s post hoc test (***P<0.001). (C) Immunoblotting for TRAP5b from human macrophage cell lysates. (D) TRAP5a and 5b levels in human BALF collected from patients exposed to swine dust. TRAP isoform levels were determined via enzyme-linked immunosorbent assay (ELISA). Results represent the mean and standard deviation of all the samples run. Statistical analysis was performed using Student’s t-test ( ** P< 0.01). (E) Immunohistochemical detection of TRAP5a/OPN in human lung tissue using a proximity-ligation assay (Navinci), with interactions between the two molecules shown in green. Images show (a) OPN and TRAP5a in small airways, (b) in alveolar macrophages and (c) capillaries. The red arrows show the TRAP5a positive cells. Image (a): 40x magnification. Images (b, c): 60x magnification. (F) Pseudomonas aeruginosa killing assay showing bacterial killing following hBD3, SLPI, and LL37 (0.1 μM) following incubation with either dOPN or pOPN. Statistical analysis was conducted using one-way ANOVA with a Dunnet’s post hoc test ( *P < 0.05). (G) SPR sensorgrams illustrating interactions between hBD3, SLPI, LL37, and dOPN/pOPN. NS-not significant.

    Article Snippet: Human leukocyte concentrate was purified using positive CD14+ magnetic bead (Miltenyi Biotech, Lund, Sweden) selection.

    Techniques: Expressing, Transfection, Transwell Assay, Western Blot, Enzyme-linked Immunosorbent Assay, Standard Deviation, Immunohistochemical staining, Proximity Ligation Assay, Incubation

    Generation and characterization of avatar mice. (A) Schematic indicating the procedure by which to generate mouse avatars. HuPBLs (CD14 negative PBMC fraction) are transplanted at day 0. CD14 + cells from the same donor are incubated with GM-CSF and IL-4 to generate immature monocyte-derived DCs, which are then infected with EBOV at an MOI of 1 and transplanted at day 5. (B) Frequency of human hematopoietic cells (hCD45 + ) in the peripheral blood of avatar mice at the indicated time points. Data are shown as the mean ± the standard error the mean (SEM). (C) Representative flow cytometry plots of the data shown in panel B. (D) Frequency of CD8 + central memory, effector memory, naive and effector T cells (TEMRA) at the indicated time points in the peripheral blood of avatar mice, as assessed by flow cytometry. (E) Frequency of CD4 + central memory, effector memory, naive and effector T cells (TEMRA) at the indicated time points in the peripheral blood of avatar mice, as assessed by flow cytometry.

    Journal: Journal of Virology

    Article Title: Avatar Mice Underscore the Role of the T Cell-Dendritic Cell Crosstalk in Ebola Virus Disease and Reveal Mechanisms of Protection in Survivors

    doi: 10.1128/jvi.00574-22

    Figure Lengend Snippet: Generation and characterization of avatar mice. (A) Schematic indicating the procedure by which to generate mouse avatars. HuPBLs (CD14 negative PBMC fraction) are transplanted at day 0. CD14 + cells from the same donor are incubated with GM-CSF and IL-4 to generate immature monocyte-derived DCs, which are then infected with EBOV at an MOI of 1 and transplanted at day 5. (B) Frequency of human hematopoietic cells (hCD45 + ) in the peripheral blood of avatar mice at the indicated time points. Data are shown as the mean ± the standard error the mean (SEM). (C) Representative flow cytometry plots of the data shown in panel B. (D) Frequency of CD8 + central memory, effector memory, naive and effector T cells (TEMRA) at the indicated time points in the peripheral blood of avatar mice, as assessed by flow cytometry. (E) Frequency of CD4 + central memory, effector memory, naive and effector T cells (TEMRA) at the indicated time points in the peripheral blood of avatar mice, as assessed by flow cytometry.

    Article Snippet: To generate the monocyte-derived dendritic cells (moDCs), CD14 + cells were isolated from previously harvested PBMCs using CD14 magnetic beads positive selection (Miltenyi Biotec).

    Techniques: Incubation, Derivative Assay, Infection, Flow Cytometry

    The intestinal microenvironment of Crohn’s disease patients promotes an inflammatory transcriptome in blood monocytes. [A–C] Differentially expressed transcriptomic pathways in blood CD14 + monocytes from healthy donors treated for 5 h with [A] TREM-1 agonist antibody [5 µg/mL], [B] LP-CM from three controls or [C] LP-CM from three Crohn’s disease patients. Quantification of gene expression was done with the NanoString nCounter Human Myeloid Innate Immunity V2 Panel. Pathway signature scores condense each sample’s gene expression profile into a small set of pathway scores. An experiment can then be explored through the lens of pathway signature scores instead of in the much higher-dimension lens of gene expression values. Pathway signature scores are fit using the first principal component of each gene set’s data. They are orientated such that an increasing score corresponds to mostly increasing expression [specifically, each pathway score has positive weights for at least half its genes]. Covariates plots compare pathway signature scores to covariates. Red triangles and green triangles help to show the relative increase and decrease in pathways, respectively, compared to the control condition. [D] The 38 molecules that increased by a minimum two-fold in LP-CM from the three Crohn’s disease patients compared to LP-CM from the three controls. The fold change is based on the mean of the three values per group. [E] LP-CM inflammation score for each sample. This score is the mean of the linear NPX values [see Section 2.6] of the 38 proteins shown in D as a way to get a relative quantification of the inflammation status of the individuals analysed. [F] Correlations between the LP-CM inflammation scores and the top ten increased genes in human blood CD14 + monocytes treated with the Crohn’s disease LP-CM compared to cells treated with the control LP-CM [see ]. [G] Correlations between the LP-CM inflammation scores and the frequency of cells in the same individual determined by flow cytometry [gated as in ]. [F, G] Correlations were assessed by Spearman’s test. Abbreviations: Ctr, controls; LP-CM, lamina propria conditioned media; Mfs, macrophages.

    Journal: Journal of Crohn's & Colitis

    Article Title: TREM-1 + Macrophages Define a Pathogenic Cell Subset in the Intestine of Crohn’s Disease Patients

    doi: 10.1093/ecco-jcc/jjab022

    Figure Lengend Snippet: The intestinal microenvironment of Crohn’s disease patients promotes an inflammatory transcriptome in blood monocytes. [A–C] Differentially expressed transcriptomic pathways in blood CD14 + monocytes from healthy donors treated for 5 h with [A] TREM-1 agonist antibody [5 µg/mL], [B] LP-CM from three controls or [C] LP-CM from three Crohn’s disease patients. Quantification of gene expression was done with the NanoString nCounter Human Myeloid Innate Immunity V2 Panel. Pathway signature scores condense each sample’s gene expression profile into a small set of pathway scores. An experiment can then be explored through the lens of pathway signature scores instead of in the much higher-dimension lens of gene expression values. Pathway signature scores are fit using the first principal component of each gene set’s data. They are orientated such that an increasing score corresponds to mostly increasing expression [specifically, each pathway score has positive weights for at least half its genes]. Covariates plots compare pathway signature scores to covariates. Red triangles and green triangles help to show the relative increase and decrease in pathways, respectively, compared to the control condition. [D] The 38 molecules that increased by a minimum two-fold in LP-CM from the three Crohn’s disease patients compared to LP-CM from the three controls. The fold change is based on the mean of the three values per group. [E] LP-CM inflammation score for each sample. This score is the mean of the linear NPX values [see Section 2.6] of the 38 proteins shown in D as a way to get a relative quantification of the inflammation status of the individuals analysed. [F] Correlations between the LP-CM inflammation scores and the top ten increased genes in human blood CD14 + monocytes treated with the Crohn’s disease LP-CM compared to cells treated with the control LP-CM [see ]. [G] Correlations between the LP-CM inflammation scores and the frequency of cells in the same individual determined by flow cytometry [gated as in ]. [F, G] Correlations were assessed by Spearman’s test. Abbreviations: Ctr, controls; LP-CM, lamina propria conditioned media; Mfs, macrophages.

    Article Snippet: After washing in PBS and removal of erythrocytes as described above, CD14 + monocytes were isolated using CD14 + magnetic beads (EasySep Human CD14 Positive Selection Kit II [Stemcell Technologies, Canada]).

    Techniques: Gene Expression, Expressing, Control, Quantitative Proteomics, Flow Cytometry

    The intestinal microenvironment of Crohn’s disease patients promotes an inflammatory transcriptome in blood monocytes, which is partly reduced by TREM-1 blockade.

    Journal: Journal of Crohn's & Colitis

    Article Title: TREM-1 + Macrophages Define a Pathogenic Cell Subset in the Intestine of Crohn’s Disease Patients

    doi: 10.1093/ecco-jcc/jjab022

    Figure Lengend Snippet: The intestinal microenvironment of Crohn’s disease patients promotes an inflammatory transcriptome in blood monocytes, which is partly reduced by TREM-1 blockade.

    Article Snippet: After washing in PBS and removal of erythrocytes as described above, CD14 + monocytes were isolated using CD14 + magnetic beads (EasySep Human CD14 Positive Selection Kit II [Stemcell Technologies, Canada]).

    Techniques:

    IL-6 induced in blood monocytes by Crohn’s disease LP-CM is partially reduced by TREM-1/TNF double blockade. Differentially expressed [A] transcriptomic pathways or [B] CCL3 , CCL4 and IL-6 expression in blood CD14 + monocytes from a healthy donor treated for 5 h with LP-CM from three Crohn’s disease patients plus TREM-1 antagonist antibody [1 µg/mL]. Quantification of gene expression was done with the NanoString nCounter Human Myeloid Innate Immunity V2 Panel. Explanation of pathway signature scores is described in the legend to . [C–E] CCL3 , CCL4 and IL-6 expression, determined by RT-PCR, in human blood CD14 + monocytes treated for 5 h with LP-CM from six additional Crohn’s disease patients plus TREM-1 antagonist antibody alone [1 µg/mL], TNF adalimumab antibody alone [1 µg/mL], or both antibodies together. These blocking experiments were done with the appropriate isotype controls, IgG1 and IgG4, as described in sheet 1. [B–E] Each colour indicates a different individual. [B–E] Data are shown as median values. The difference between paired samples was assessed by a Wilcoxon test; * p vs adalimumab alone. Abbreviations: LP-CM, lamina propria conditioned media.

    Journal: Journal of Crohn's & Colitis

    Article Title: TREM-1 + Macrophages Define a Pathogenic Cell Subset in the Intestine of Crohn’s Disease Patients

    doi: 10.1093/ecco-jcc/jjab022

    Figure Lengend Snippet: IL-6 induced in blood monocytes by Crohn’s disease LP-CM is partially reduced by TREM-1/TNF double blockade. Differentially expressed [A] transcriptomic pathways or [B] CCL3 , CCL4 and IL-6 expression in blood CD14 + monocytes from a healthy donor treated for 5 h with LP-CM from three Crohn’s disease patients plus TREM-1 antagonist antibody [1 µg/mL]. Quantification of gene expression was done with the NanoString nCounter Human Myeloid Innate Immunity V2 Panel. Explanation of pathway signature scores is described in the legend to . [C–E] CCL3 , CCL4 and IL-6 expression, determined by RT-PCR, in human blood CD14 + monocytes treated for 5 h with LP-CM from six additional Crohn’s disease patients plus TREM-1 antagonist antibody alone [1 µg/mL], TNF adalimumab antibody alone [1 µg/mL], or both antibodies together. These blocking experiments were done with the appropriate isotype controls, IgG1 and IgG4, as described in sheet 1. [B–E] Each colour indicates a different individual. [B–E] Data are shown as median values. The difference between paired samples was assessed by a Wilcoxon test; * p vs adalimumab alone. Abbreviations: LP-CM, lamina propria conditioned media.

    Article Snippet: After washing in PBS and removal of erythrocytes as described above, CD14 + monocytes were isolated using CD14 + magnetic beads (EasySep Human CD14 Positive Selection Kit II [Stemcell Technologies, Canada]).

    Techniques: Expressing, Gene Expression, Reverse Transcription Polymerase Chain Reaction, Blocking Assay