Antibody data
- Antibody Data
- Antigen structure
- References [16]
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- Validations
- Flow cytometry [1]
- Other assay [13]
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- Product number
- 48-9459-41 - Provider product page
- Provider
- Invitrogen Antibodies
- Product name
- CD45 Monoclonal Antibody (2D1), eFluor™ 450, eBioscience™
- Antibody type
- Monoclonal
- Antigen
- Other
- Description
- Description: The 2D1 monoclonal antibody reacts with all isoforms of human CD45, also known as Leukocyte Common Antigen (LCA). CD45 is expressed by all hematopoietic cells excluding circulating erythrocytes and platelets. The cytoplasmic portion of CD45 has tyrosine phosphatase enzymatic activity and plays an important role in activation of lymphocytes. Applications Reported: This 2D1 antibody has been reported for use in flow cytometric analysis. Applications Tested: This 2D1 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. eFluor® 450 is an alternative to Pacific Blue®. eFluor® 450 emits at 445 nm and is excited with the Violet laser (405 nm). Please make sure that your instrument is capable of detecting this fluorochome. Excitation: 405 nm; Emission: 445 nm; Laser: Violet Laser. Filtration: 0.2 µm post-manufacturing filtered.
- Reactivity
- Human
- Host
- Mouse
- Isotype
- IgG
- Antibody clone number
- 2D1
- Vial size
- 25 Tests
- Concentration
- 5 µL/Test
- Storage
- 4° C, store in dark, DO NOT FREEZE!
Submitted references Plasma Extracellular Vesicle Subtypes May be Useful as Potential Biomarkers of Immune Activation in People With HIV.
Bcl-xL mutant promotes cartilage differentiation of BMSCs by upregulating TGF-β/BMP expression levels.
VAP-PLGA microspheres (VAP-PLGA) promote adipose-derived stem cells (ADSCs)-induced wound healing in chronic skin ulcers in mice via PI3K/Akt/HIF-1α pathway.
Down-Regulated Exosomal MicroRNA-221 - 3p Derived From Senescent Mesenchymal Stem Cells Impairs Heart Repair.
Single residue in CD28-costimulated CAR-T cells limits long-term persistence and antitumor durability.
Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics.
TGF‑β induces periodontal ligament stem cell senescence through increase of ROS production.
Microglia innately develop within cerebral organoids.
Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease.
Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity.
A fully defined static suspension culture system for large-scale human embryonic stem cell production.
Similarities and differences between helminth parasites and cancer cell lines in shaping human monocytes: Insights into parallel mechanisms of immune evasion.
Increased expression of triggering receptor expressed on myeloid cells-1 in the population with obesity and insulin resistance.
Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures.
Vascular niche promotes hematopoietic multipotent progenitor formation from pluripotent stem cells.
Epithelial cell differentiation of human mesenchymal stromal cells in decellularized lung scaffolds.
Bazié WW, Boucher J, Vitry J, Goyer B, Routy JP, Tremblay C, Trottier S, Jenabian MA, Provost P, Alary M, Gilbert C
Pathogens & immunity 2021;6(1):1-28
Pathogens & immunity 2021;6(1):1-28
Bcl-xL mutant promotes cartilage differentiation of BMSCs by upregulating TGF-β/BMP expression levels.
Xiao K, Yang L, Xie W, Gao X, Huang R, Xie M
Experimental and therapeutic medicine 2021 Jul;22(1):736
Experimental and therapeutic medicine 2021 Jul;22(1):736
VAP-PLGA microspheres (VAP-PLGA) promote adipose-derived stem cells (ADSCs)-induced wound healing in chronic skin ulcers in mice via PI3K/Akt/HIF-1α pathway.
Jiang W, Zhang J, Zhang X, Fan C, Huang J
Bioengineered 2021 Dec;12(2):10264-10284
Bioengineered 2021 Dec;12(2):10264-10284
Down-Regulated Exosomal MicroRNA-221 - 3p Derived From Senescent Mesenchymal Stem Cells Impairs Heart Repair.
Sun L, Zhu W, Zhao P, Zhang J, Lu Y, Zhu Y, Zhao W, Liu Y, Chen Q, Zhang F
Frontiers in cell and developmental biology 2020;8:263
Frontiers in cell and developmental biology 2020;8:263
Single residue in CD28-costimulated CAR-T cells limits long-term persistence and antitumor durability.
Guedan S, Madar A, Casado-Medrano V, Shaw C, Wing A, Liu F, Young RM, June CH, Posey AD Jr
The Journal of clinical investigation 2020 Jun 1;130(6):3087-3097
The Journal of clinical investigation 2020 Jun 1;130(6):3087-3097
Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics.
Alshetaiwi H, Pervolarakis N, McIntyre LL, Ma D, Nguyen Q, Rath JA, Nee K, Hernandez G, Evans K, Torosian L, Silva A, Walsh C, Kessenbrock K
Science immunology 2020 Feb 21;5(44)
Science immunology 2020 Feb 21;5(44)
TGF‑β induces periodontal ligament stem cell senescence through increase of ROS production.
Fan C, Ji Q, Zhang C, Xu S, Sun H, Li Z
Molecular medicine reports 2019 Oct;20(4):3123-3130
Molecular medicine reports 2019 Oct;20(4):3123-3130
Microglia innately develop within cerebral organoids.
Ormel PR, Vieira de Sá R, van Bodegraven EJ, Karst H, Harschnitz O, Sneeboer MAM, Johansen LE, van Dijk RE, Scheefhals N, Berdenis van Berlekom A, Ribes Martínez E, Kling S, MacGillavry HD, van den Berg LH, Kahn RS, Hol EM, de Witte LD, Pasterkamp RJ
Nature communications 2018 Oct 9;9(1):4167
Nature communications 2018 Oct 9;9(1):4167
Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease.
Moss J, Magenheim J, Neiman D, Zemmour H, Loyfer N, Korach A, Samet Y, Maoz M, Druid H, Arner P, Fu KY, Kiss E, Spalding KL, Landesberg G, Zick A, Grinshpun A, Shapiro AMJ, Grompe M, Wittenberg AD, Glaser B, Shemer R, Kaplan T, Dor Y
Nature communications 2018 Nov 29;9(1):5068
Nature communications 2018 Nov 29;9(1):5068
Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity.
Nguyen QH, Pervolarakis N, Blake K, Ma D, Davis RT, James N, Phung AT, Willey E, Kumar R, Jabart E, Driver I, Rock J, Goga A, Khan SA, Lawson DA, Werb Z, Kessenbrock K
Nature communications 2018 May 23;9(1):2028
Nature communications 2018 May 23;9(1):2028
A fully defined static suspension culture system for large-scale human embryonic stem cell production.
Li X, Ma R, Gu Q, Liang L, Wang L, Zhang Y, Wang X, Liu X, Li Z, Fang J, Wu J, Wang Y, Li W, Hu B, Wang L, Zhou Q, Hao J
Cell death & disease 2018 Aug 30;9(9):892
Cell death & disease 2018 Aug 30;9(9):892
Similarities and differences between helminth parasites and cancer cell lines in shaping human monocytes: Insights into parallel mechanisms of immune evasion.
Narasimhan PB, Akabas L, Tariq S, Huda N, Bennuru S, Sabzevari H, Hofmeister R, Nutman TB, Tolouei Semnani R
PLoS neglected tropical diseases 2018 Apr;12(4):e0006404
PLoS neglected tropical diseases 2018 Apr;12(4):e0006404
Increased expression of triggering receptor expressed on myeloid cells-1 in the population with obesity and insulin resistance.
Subramanian S, Pallati PK, Rai V, Sharma P, Agrawal DK, Nandipati KC
Obesity (Silver Spring, Md.) 2017 Mar;25(3):527-538
Obesity (Silver Spring, Md.) 2017 Mar;25(3):527-538
Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures.
Şenbabaoğlu Y, Gejman RS, Winer AG, Liu M, Van Allen EM, de Velasco G, Miao D, Ostrovnaya I, Drill E, Luna A, Weinhold N, Lee W, Manley BJ, Khalil DN, Kaffenberger SD, Chen Y, Danilova L, Voss MH, Coleman JA, Russo P, Reuter VE, Chan TA, Cheng EH, Scheinberg DA, Li MO, Choueiri TK, Hsieh JJ, Sander C, Hakimi AA
Genome biology 2016 Nov 17;17(1):231
Genome biology 2016 Nov 17;17(1):231
Vascular niche promotes hematopoietic multipotent progenitor formation from pluripotent stem cells.
Gori JL, Butler JM, Chan YY, Chandrasekaran D, Poulos MG, Ginsberg M, Nolan DJ, Elemento O, Wood BL, Adair JE, Rafii S, Kiem HP
The Journal of clinical investigation 2015 Mar 2;125(3):1243-54
The Journal of clinical investigation 2015 Mar 2;125(3):1243-54
Epithelial cell differentiation of human mesenchymal stromal cells in decellularized lung scaffolds.
Mendez JJ, Ghaedi M, Steinbacher D, Niklason LE
Tissue engineering. Part A 2014 Jun;20(11-12):1735-46
Tissue engineering. Part A 2014 Jun;20(11-12):1735-46
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Supportive validation
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- Staining of normal human peripheral blood cells with Mouse IgG1 K Isotype Control eFluor® 450 (Product # 48-4714-82) (blue histogram) or Anti-Human CD45 eFluor® 450 (purple histogram). Cells in the lymphocyte gate were used for analysis.
Supportive validation
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- Fig. 2 In silico validation of the immune cell scoring method. a In silico validation of immune cell scores using simulated mixing proportions. RNA-Seq profiles of FACS-sorted NK cells, macrophages, CD 4 + and CD 8 + T cells, and non-immune CD 45 - cells were mixed with known proportions to obtain a ""clean"" mixture. Noise was added at varying SNRs. Mixing levels were then inferred by ssGSEA from the ""clean"" and noisy mixtures. The Spearman correlations between the simulated and inferred levels ( top panel ) and the bootstrap p values for these correlation values ( bottom panel ) are shown on the y-axes (Additional file 1 : Figure S18 and "" Methods "" for the calculation of the bootstrap p values). b Validation of IIS with methylation-based leukocyte fractions. Spearman correlations between the two orthogonal scores are shown on the x-axis for 13 tumor types. c Validation of TIS with TCR beta chain abundance. Both scores are computationally inferred from RNA-Seq data but employ different approaches to measure T cell levels. Spearman correlations are shown on the x-axis for 19 tumor types
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- Figure 2. EV quantification and cell origin in association with HIV. Purified plasma EVs fromuninfected (Control, n = 8) and HIV+ patients (n = 17) were stained with the lipophilic fluorescent tracer dye DiD to count total vesicles ( Figure 2A and B ), then labeled with antibodies directed against receptors CD45 ( Figure 2C and D ), CD4 ( Figure 2E and F ), and CD8 ( Figure 2 G and H ) to evaluate cell origin by cytofluorometry. Asterisks denote significant difference (** P
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- FIGURE 1 Characterization of young and aged MSCs and exosomes. (A) Surface marker profiling of young-MSCs and aged-MSCs. (B) SA-beta-Gal staining showed that senescence increased significantly in aged MSCs. (C) Representative immunoblot images and quantitative analysis of p21, p53, and p16 protein level in young and aged-MSCs. ( n = 3). (D) Quantitation of cell cycle phases by propidium iodide staining. ( n = 3). (E) The CCK-8 assay showed that aged MSCs grew more slowly than young MSCs. ( n = 6). (F) Young and aged exosomes were observed using TEM. (G) The exosome surface markers were analyzed by Western blot. (H) Nanoparticle tracking analysis was used to analyze the particle size and concentration of Young-Exo and Aged-Exo. * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001; NS, not significant.
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- Figure 1 Culture and identification of bone marrow mesenchymal stem cells. (A) Light microscopy of BMSCs (scale bar=100 um for the left image and 200 um for the right image). (B) Percentage of CD34-, CD45-, CD73-, CD90- and CD105-positive BMSCs were detected by flow cytometry. BMSC, bone marrow mesenchymal stem cell.
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- Figure 1. Morphology and immune phenotype of adipose-derived stem cells (ADSCs) were identified by morphological observation and flow cytometry. (a) Morphology of the primary (P1) and third passage (P3) of ADSCs. Images were acquired at 200x magnification. (b) Immune phenotype of ADSCs. The average data from three independent experiments were shown as mean +- standard deviation
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- Fig. 4 oMG expressed microglia-characteristic cell surface markers and showed similar functional immune and phagocytic properties as adult MG. a Flow cytometric analyses of the expression pattern of microglial extracellular markers on CD11b+-gated oMG (oMG 1, 3, and 5) compared to adult MG derived from three separate brain regions from adult MG1.1. (eight organoids were pooled per donor (oMG 1, 3, and 5) after 52 days in culture). b Morphology of magnetic automated cell sorted CD11b+ oMG 1 and adult MG in bright field microscope after 1 week in culture. Scale bar 40 mum. c mRNA expression, determined by qRT-PCR, of pro-inflammatory cytokines IL6 and IL1B after 6 h stimulation with LPS was significantly higher in oMG compared to adult MG (Mann-Whitney test IL6 and IL1B: U = 0, n = 4, p = 0.03). LPS-stimulated response relative to control condition without LPS. ( n = 4 experiments, eight organoids pooled per experiment; adult MG1.1) (* p < 0.05). d Anti-inflammatory response of oMG and adult MG was compared by qRT-PCR for expression of anti-inflammatory genes CD163 and MRC1 upon 72 h stimulation with dexamethasone. Dexamethasone-stimulated response relative to control condition without dexamethasone. (oMG, n = 3 separate experiments in which oMG were isolated from > 4 pooled cerebral organoids from iPSC 1 per experiment; adult MG, n = 4). e Phagocytosis capacity was tested oMG 1 and adult MG by performing a phagocytosis assay with iC3b-coated green-yellow
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- 01 Figure S1 Isotype control for TREM-1 and TREM-2 expression in monocytes and neutrophils of the study subjects. Cell phenotype was performed using anti-human antibodies and isotypes for monocytes (CD45+, CD14+, HLA-DR+) represented in figure A and neutrophils (CD45+, CD16+) in figure B. A) The representative figures for isotype control for monocytes gating; live monocytes were gated from FSC/SSC gating. Then CD45+ were gated using the basal level of CD45 Isotype and analyzed for CD14 and HLA-DR expression with respective CD14 and HLA-DR Isotypes. The double positive populations (CD14+ HLA-DR+) were further gated for expression of TREM-1+ and TREM-2+ using the basal level of TREM-1 and TREM-2 Isotypes. B) The representative figures for Isotype control for neutrophils gating; live granulocytes were gated from FSC/SSC gating. Then CD45+ were gated using the basal level of CD45 Isotype and analyzed for CD16 expression using the basal level of CD16 Isotype. CD16+ populations were further gated for expression of TREM-1 and TREM-2 using the basal level of TREM-1 and TREM-2 Isotypes. Figure S2 Hematoxylin and Eosin staining for fatty liver grading and inflammation. H & E in biopsy samples of SO - D - , SO + D - and SO + D + groups respectively in liver (images Aa, Ab & Ac), omental fat (images Ba, Bb & Bc) and subcutaneous fat (images Ca, Cb & Cc). Liver biopsy samples showed steatosis in SO + D - and fibrosis and cirrhosis in SO + D + groups. Size of the adipocyte was larger in su
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- Figure 1. Characterization of PDLSCs. (A) PDL cell clusters exhibited radiating or whirlpool-like morphology. The central structure in this image is a fragment of PDL tissue. Scale bar, 200 mum (B) CD146 + PDLSCs were small, round, fusiform and triangular. Scale bar, 100 mum. (C) PDLSCs were positive for the stem cell markers CD44, CD90 and CD105, but negative for CD34 and CD45, as detected by flow cytometry. PDL, periodontal ligament; PDLSCs, PDL stem cells.
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- Fig 3 Cancer cell lines and mf significantly upregulates the cell surface expressions of PDL1, PDL2, CD206 and VCAM-1 on human monocytes. Human monocytes were cultured in media alone, or with CMFDA-labeled three different cancer cell lines (MDA, OVCAR, U87), or with live mf of Brugia malayi for 48hr. Cells were harvested and cell surface expression PDL1, PDL2, CD206, VCAM-1, and CD163 was measured using flow cytometry gated on CD45 + /CMFDA - monocytes. (A) One representative set (n = 15) of flow histograms demonstrating cell surface expression in unexposed human monocytes and after exposure to mf or different cancer cell lines. (B). The data are expressed as the geometric mean with 95% confidence interval of the mean fluorescent intensity of unexposed and exposed monocytes ( n = 15). * P< 0.05, ** P< 0.005.
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- Fig. 4 Comparison of MSCs derived from 2D-hESCs and 3D-hESCs. a The morphology of 2D- and 3D-hESC-MSCs at different stages of differentiation. b Flow cytometry analysis revealed specific MSC surface markers (CD44, CD29, and CD105) with negative controls (CD34, CD19, and CD45) in 2D- and 3D-hESC-MSCs. c Immunostaining of differentiated 3D-hESC-MSCs expressing an adipocyte marker (FABP-4), osteocytes maker (osteocalcin), and chondrocytes marker (aggrecan)