17-0149-41

antibody from Invitrogen Antibodies

Targeting: CD14

Provider product page for 17-0149-41

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Antibody data

Antibody Data
Antigen structure
References [70]
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Validations
Flow cytometry [2]
Other assay [28]

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Product number: 17-0149-41 - Provider product page
Provider: Invitrogen Antibodies
Product name: CD14 Monoclonal Antibody (61D3), APC, eBioscience™
Antibody type: Monoclonal
Antigen: Other
Description: Description: The 61D3 monoclonal antibody reacts with human CD14, a 53-55 kDa GPI-linked glycoprotein. CD14 is expressed on monocytes, interfollicular macrophages and some dendritic cells. Complexes of LPS and LBP (LPS-Binding Protein) bind with high affinity to monocytes through the surface CD14. Applications Reported: The 61D3 antibody has been reported for use in flow cytometric analysis. Applications Tested: This 61D3 antibody has been pre-titrated and tested by flow cytometric analysis of normal human peripheral blood cells. This can be used at 5 µL (0.25 µg) per test. A test is defined as the amount (µg) of antibody that will stain a cell sample in a final volume of 100 µL. Cell number should be determined empirically but can range from 10^5 to 10^8 cells/test. Excitation: 633-647 nm; Emission: 660 nm; Laser: Red Laser. Filtration: 0.2 µm post-manufacturing filtered.
Reactivity: Human
Host: Mouse
Isotype: IgG
Antibody clone number: 61D3
Vial size: 25 Tests
Concentration: 5 μL/Test
Storage: 4°C, store in dark, DO NOT FREEZE!

CD14 protein structure - 17-0149-41 shown in red.

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Supportive validation

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Experimental details: Figure 2 Cell surface expression of SAIL in CLL, AML and MM patient samples and normal BMMC and PBMC controls. ( a ) Three CLL specimens analyzed by flow cytometry. CLL cells were identified as CD19/CD5 double-positive cells. The histograms present SAIL (filled) and isotype control (open) staining in the live-cell and the CLL population. ( b ) Flow cytometry analysis of three AML specimens. SAIL expression is assessed in live-cells, CD33-positive and CD34-positive cells. ( c ) Flow cytometry analysis of three MM specimens. CD38 high cells with CD56 expression were gated for MM cells. SAIL expression is assessed in the live-cell and the MM population. ( d and e ) Flow cytometry analysis of SAIL expression in BMMC ( d ) and PBMC ( e ) via co-staining with CD19, CD3, CD14, CD56, CD33, CD34 and a cocktail of lineage (LN) markers. Numbers in histograms are median-fluorescence-intensity fold-change values relative to the isotype control. Three and two representative examples are shown for the tumor and normal samples, respectively.

Supportive validation

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Experimental details: Figure 2 PD-1 and PD-L1 were upregulated on T cells and monocytes in septic shock patients . Blood samples were obtained from 19 septic shock patients and 22 healthy controls and were stained for programmed death-1 (PD-1) and programmed death ligand-1 (PD-L1) gated on CD4 + T cells, CD8 + T cells, and CD14 + monocytes. (a) to (c) Percentage of PD-1 expression on (a) CD4 + T cells and (b) CD8 + T cells, and (c) percentage of PD-L1 expression on CD14 + monocytes. Each dot represents one individual. Data are mean +- standard error of the mean (SEM) of three independent experiments. ** P < 0.01 compared with healthy controls. (d) to (f) Mean fluorescence intensity (relative fluorescence units) of PD-1 expression on (d) CD4 + T cells, (e) PD-1 expression on CD8 + T cells, and (f) PD-L1 expression on CD14 + monocytes Each dot represents one individual. Data are mean +- SEM of three independent experiments. * P < 0.05 compared with healthy controls. (g) Representative PD-1 expression levels on CD4 + T cells and CD8 + T cells, and PD-L1 expression on CD14 + monocytes. Values in the upper-right quadrant indicate the percentage of cells that express PD-1 or PD-L1.

Supportive validation

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Experimental details: Fig 7 Measurement of ROS in CD14 + cells, CD4 + T-cells, and CD8 + T-cells by cellROX stain mean intensity in T2DM patients compared to healthy. CD14 + cells were stained with cellROX green reagent, a marker of ROS, and a CD14 cell marker, CD14-PE. CD14 + -ROX + cells' mean intensity was analyzed by FLOW cytometry. There was an observable increase in ROX mean intensity in CD14 + cells isolated from individuals with T2DM compared to healthy volunteers (Fig. 7A). CD4 + cells were also stained with cellROX green reagent and a CD4 cell marker, CD4-Cy5. CD4 + -ROX + cells' mean intensity was analyzed by FLOW cytometry. There was an observable increase in ROX mean intensity in CD4 + T-cells isolated from individuals with T2DM compared to healthy volunteers (Fig. 7B). CD8 + cells were stained with cellROX green reagent and a CD8 cell marker, CD8-Cy5. CD8 + -ROX + cells' mean intensity was analyzed by FLOW cytometry. There was an observable increase in ROX mean intensity in CD8 + T-cells isolated from individuals with T2DM compared to healthy volunteers (Fig. 7C). Data represents mean +-SE from 5 healthy individuals and 5 individuals with T2DM.

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Experimental details: FIG. 2. Baseline comparison of the interleukin-6 (IL-6) and reactive oxygen species (ROS) markers between healthy volunteers and HIV-positive individuals. We observed a significant increase in the levels of the proinflammatory cytokine, IL-6 in plasma samples collected from individuals with HIV infection compared to healthy individuals (A) . Data represent mean+-SE from comparing baseline levels of 10 healthy volunteers and 15 HIV-positive individuals, **** P

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Experimental details: FIG. 6. Difference in plasma IL-6 levels and ROS markers pre- and post-GSH supplementation. Sandwich ELISA was performed to compare the cytokine levels between pre-supplementation (V1) and post-supplementation (V3). Assay of cytokines showed a significant decrease in the levels of IL-6 in plasma samples collected from the lGSH-treatment group. There was no significant difference between the levels of IL-6 from the placebo group when comparing visit 1 and visit 3 (A) . Data represent mean+-SE, * P

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Experimental details: Figure 1 Effect of OxC-beta on CD14, TLR-4, and TLR-2 levels in vitro . Human THP-1 monocytes (A), fibroblasts (B), and endothelial cells (C), were treated with the indicated concentrations of OxC-beta or vehicle control (DMSO) for 24 hours. Immune receptor content was measured 24 hours post-treatment by FACS analysis. OxC-beta-induced increase in receptor level was assessed relative to untreated control cells using a one-way analysis of variance with Tukey's post test for multiple comparisons. DMSO had no effect on receptor level (result not shown). Phorbol myristate acetate (PMA) was used as a positive control in experiments with THP-1 cells (hatched bars).

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Experimental details: Figure 5 Determination of activities relative to OxC-beta of (A) OxC-beta polymer and monomer fractions, and (B) oxidized lycopene (OxC-lyc), using a CD14 receptor expression assay. THP-1 cells were treated for 24 hours with the indicated concentrations of compounds. CD14 expression was quantified using FACS analysis. The effect of each compound is shown relative to untreated cells. Points represent the mean and standard error from three separate experiments. (A) Correlation analysis indicates a significant dose effect for each compound on CD14 expression with p-values of 0.0036 for OxC-beta, 0.0034 for the polymer, and 0.0113 for the monomer. Comparison of the relative activity of each compound indicates that the monomer is significantly less active than the polymer (p

Supportive validation

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Experimental details: Figure 1 PMA-induced TM expression mediates morphological changes and differentiation marker expression in THP-1 cells. ( A ) THP-1 cells were treated with 150 nM PMA for 24-72 hours. The total cell lysates were harvested, and the expression of TM was analyzed using western blot analysis. beta-actin was used as a loading control. Five independent experiments have been performed (n = 5) and representative images have been showed. The amount of proteins expression was quantified using densitometry and presented as bar graph. The data are presented as the mean +- SD (n = 5), and * p < 0.05 was considered significant. ( B ) THP-1 cells were transfected with TM siRNA or HA-TM FL plasmid for 24 h followed by PMA stimulation for 72 hours. The morphology of the cells was observed using light microscopy. The adherent differentiated macrophage-like cells are indicated by a white arrowhead. Five independent experiments have been performed (n = 5). The quantification is shown in the right graph. ( C ) The expression of the macrophage cell surface markers CD14 (red) and CD68 (green) was analyzed using immunofluorescence and microscopy. Hoechst staining was used to label the nuclei. The scale bar indicates 100 mum. Five independent experiments have been performed (n = 5), and showed representative images. ( D ) The expression of CD14 and CD68 was analyzed using flow cytometry. Data are expressed as a % of the control, are presented as the mean +- SD and represent the results of three indep

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Experimental details: Figure 4 TM regulates THP-1 cell differentiation via the PKCdelta-ERK1/2 signaling pathway. ( A ) THP-1 cells were transfected with 2 or 4 mug of PKCalpha, PKCbeta, PKCdelta, PKCepsilon, or PKCtheta shRNA for 24 h. Total cell lysates were purified, and knockdown efficiency was assayed using western blot analysis. ( B ) The THP-1 cells were knocked down by PKCalpha, PKCbeta, PKCdelta, PKCepsilon, and PKCtheta shRNAs for 24 h followed by PMA stimulation for 72 hours. The number of CD14 + cells was scored using flow cytometry. Data are expressed as a % of the control, are presented as the mean +- SD and represent the results of five independent experiments (n = 5, * p < 0.05 was considered significant). ( C ) Different sets of THP-1 cells were transfected with 4 mug of each shRNA for 24 h followed by PMA stimulation for 72 hours. The levels of p21 Cip1/WAF1 and PCNA were analyzed using western blot analysis. ( D ) The THP-1 cells were knocked down by PKCdelta shRNA for 24 h followed by PMA stimulation for 72 hours. The level of PKCdelta and total and phosphorylated ERK1/2 was analyzed using western blot analysis. In western blot analysis, beta-actin and total-ERK1/2 were used as loading controls. The density of each band was quantified using densitometry and related protein expression was presented as bar graph. The data are presented as the mean +- SD, and * p < 0.05 was considered significant (n = 5). ( E ) Lysates of THP-1 cells with PMA stimulation were extracted. Left, immu

Supportive validation

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Experimental details: Fig. 1 Flow cytometry analysis of phenotype characterization of hUCMSCs. Phenotype of CD73, CD90, CD105, CD14, CD34, CD45, CD79a and HLA-DR of hUCMSCs was detected by flow cytometry. Intensity >= 95% represented strong expression while

Supportive validation

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Experimental details: Figure 2 Induced differentiation, flow cytometric and immunosuppressive ability analysis of human umbilical cord mesenchymal stem cells expanded in serum-free medium. After differentiation induction, (a) osteogenesis was confirmed by Alizarin Red (x40), (b) adipogenesis was stained by Oil Red O (x200) and (c) chondrogenesis was analyzed by Toluidine Blue (x100). (d) Serum-free medium (SFM)-expanded human umbilical cord mesenchymal stem cells (hUC-MSCs) at the 10th passage were labeled with antibodies against human antigens CD14-PE, CD19-PE, CD34-FITC, CD45-PE, CD73-PE, CD90-PE, CD105-PE, HLA-ABC-FITC, HLA-DR-PE and Nestin-PE. (e) Expression of hTERT in hUC-MSCs. Graph shows the level of hTERT transcripts of hUC-MSCs cultured in serum-containing medium (SCM) and SFM ( n = 5). Values presented as ratio of positive control (HeLa cells). Immunosuppressive ability of hUC-MSCs was evaluated by co-culturing with human peripheral blood mononuclear cells (hPBMCs). (f) Proliferation of hPBMCs was quantified based the measurement of BrdU incorporation during DNA synthesis. (g) Level of interferon gamma (IFN-gamma) in the supernatant was determined by ELISA.

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Experimental details: Fig. 2 a Cumulative population-doubling (cPD) levels versus passage number for the four different sources of MSC. Black represents CV-MSC ( n = 7), dark gray UC-MSC ( n = 4), medium gray AT-MSC ( n = 5), and light gray BM-MSC ( n = 6). b IHC-based senescence-associated beta-galactosidase (SA-beta-gal) staining of CV-MSC in early (i, passage 4) and late (ii, passage 9) passages, AT-MSC in passage 6 (iii), BM-MSC in passage 6 (iv), and UC-MSC in passage 2 (v) and passage 4 (vi). Scale = 200 mum. c IHC of CV-MSC (i, ii) and BM-MSC (iii, iv) stained for osteopontin (i, iii) and fibronectin (ii, iv). Scale = 1 mm. d Collagen area (%) after collagen contraction assay for CV-MSC ( n = 4), BM-MSC ( n = 3), UC-MSC ( n = 4), and AT-MSC ( n = 3). Cells in passage 3 were used. Results expressed as mean +- SD, percentage of the total collagen area of the collagen gels without cells. e Surface marker expression of CV-MSC in early passages ( n = 5). Results expressed as mean +- SD (%). f Representative immunofluorescence of early passaged CV-MSC (i, iii) and BM-MSC (iii, iv) stained for SM22alpha (i, iii) and alpha-SMA (ii, iv). Scale = 50 mum. AT adipose tissue, BM bone marrow, CV chorionic villi, MSC mesenchymal stromal cells, UC umbilical cord

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Experimental details: Fig. 5 KDM6B promotes the differentiation of THP-1 cells (A) THP-1 cells were treated with 100 ng/ml PMA, 2 muM GSK-J4, or DMSO for 48 h. CD14 and CD11b expression levels were confirmed using qRT-PCR and normalized to GAPDH . Results are shown as mean +- SEM, n = 3; *p < 0.05, **p < 0.01. (B) We treated negative control (shNC)- and shKDM6B-transfected THP-1 cells with 100 ng/ml PMA for 48 h. The cells were stained with PE-CD11b and APC-CD14 antibodies. The percentage of cells in each quadrant is indicated in the figure. (C) We treated THP-1 cells with 2 muM GSK-J4 or 0.3 muM alisertib for 48 h. The cells were stained with PE-CD11b and APC-CD14 antibodies. The percentage of cells in each quadrant is indicated in the figure. (D) A model of AURKA regulating KDM6B expression in PMA-mediated THP-1 differentiation.

Supportive validation

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Experimental details: Figure 4. Butyrate upregulates the levels of TLR4 and CD14 on colon cancer cells. The expression levels of TLR4 and CD14 on the membrane of SW480 cells and CT26 cells treated by butyrate and/or LPS were (A) analyzed using a flow cytometer, and (B) the MFI values of TLR4 and CD14 were quantitative analyzed. These experiments were repeated >=3 times, and representative graphs are presented. Compared with the NC group, *P

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Experimental details: Fig. 1 Responses to Candida spp . in neonatal immune cells. a Phagocytosis of Candida in monocytes (boxes and whiskers), including a representative flow microscopy diagram (white bar = ~10 um). Data pooled from multiple experiments over 14 months (9 to 17 subjects per age group; see Supplemental Data for clinical information on preterm subjects); b IL-1beta and c IL-6 response (blood mononuclear cells) to C. albicans or C. parapsilosis (24 h stimulation; 10 to 18 subjects per age group; boxes and whiskers); ( d ) IL-1beta (24 h; 11 to 21 subjects per age group; boxes and whiskers) and e representative gating for pro-IL-1beta (5 h LPS stimulation), gated on CD14-expressing cells (black = fluorescent-minus one control; orange = unstimulated; blue = LPS; representative preterm sample is from a 26 weeks' infant); f pro-IL-1beta (5 h) or g IL-6 (24 h) in response to LPS, zymosan or curdlan (mononuclear cells; 11 to 21 subjects per age group; boxes and whiskers); for b and c , data was pooled from multiple experiments assayed in four ELISA batches with similar distribution of samples per age group

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Experimental details: Fig. 5 Gene expression and translation of dectin-1 signaling proteins. a Illustration of selected signaling molecules downstream of dectin-1; b Polysome profiles and c quantification of signalosome genes (qPCR) in monosome, disome, and light and heavy polysome fractions (monocytes). Data are from 4 subjects per age group (boxes and whiskers; RQ = relative quantification); d Quantification of signalosome genes (qPCR) in total RNA fractions (4 to 5 subjects/age group; mean +- SD); e Surface expression of dectin-1 (flow cytometry, mononuclear cells, gated on CD14-expressing cells; data pooled from 10 to 23 subjects per age group; boxes and whiskers); f Representative (cropped) Western blot of MALT1 and Bcl10 protein expression in monocytes after 0 to 60 min LPS stimulation. Representative blot is from a 29 weeks gestation sample. Images cropped from same blot probes with each antibody; cumulative quantification of 4 independent Western blot experiments for g MALT1 and h Bcl10 (mean +- SD)

Supportive validation

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Experimental details: Fig. 8 Inhibition glycolysis results in loss of MALT1 protein expression. Effect of blocking glycolysis (using 2-DG) or of blocking translation (using cycloheximide, as control) on MALT1 protein expression (monocytes). a MALT1 protein was detected by Western blot (left panel; representative of two experiments; cropped images from same blot probed with each antibody) at 8 h and 19 h. Lymphoblastoid cell line (LCL) lysate used as positive control for MALT1 protein expression; MALT1 protein detection ( b ) at 16 h and ( c ) over time (intracellular staining by flow cytometry, gated on CD14-expressing cells; MFI mean fluorescence intensity; dotted line: signal for fluorescence-minus-one staining control MFI level; boxes and whiskers with a paired 2-sided t -test in b ; mean +- SD in c and d ; d corresponding cell viability over time (mean +- SD); 6 subjects. e Effect of MALT1 inhibition on IL-1beta, IL-6, and lactate production at rest and following LPS (mononuclear cells; boxes and whiskers with 2-sided paired t -tests); f correlation between LPS-induced IL-1beta and IL-6, and lactate production (Spearman' r ; * p < 0.05; with dotted regression line); 8 subjects. All experiments were conducted in adult cells