Anti cd105 apc

Manufactured by Thermo Fisher Scientific

Anti-CD105-APC is a monoclonal antibody conjugated with Allophycocyanin (APC) that specifically binds to the CD105 (endoglin) cell surface antigen. CD105 is a type I membrane glycoprotein and is expressed on endothelial cells, as well as on certain other cell types.

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Lab products found in correlation

Anti cd73 apc cy7, by Thermo Fisher Scientific (2 mentions) Anti cd44 fitc, by Thermo Fisher Scientific (1 mentions) Anti lamin a c, by Santa Cruz Biotechnology (1 mentions) Anti ki67, by Vector Laboratories (1 mentions) Anti p16, by BD (1 mentions) Anti hcd31, by BD (1 mentions) Anti β tubulin, by Santa Cruz Biotechnology (1 mentions) Anti β actin, by Santa Cruz Biotechnology (1 mentions) Anti progerin, by Santa Cruz Biotechnology (1 mentions) Anti wrn, by Santa Cruz Biotechnology (1 mentions) Anti hp1γ, by Cell Signaling Technology (1 mentions) Anti lap2β, by BD (1 mentions) Anti γh2ax, by Merck Group (1 mentions) Anti p21, by Cell Signaling Technology (1 mentions) Anti cd90 fitc, by BD (1 mentions) Anti cd73 pe, by BD (1 mentions) Ultra low attachment 6 well plate, by Corning (1 mentions) Anti cd34 fitc, by Thermo Fisher Scientific (1 mentions) Anti cd44 apc cy7, by Thermo Fisher Scientific (1 mentions) Anti cd14 percp, by Thermo Fisher Scientific (1 mentions)

5 protocols using anti cd105 apc

Identification and Characterization of GA-MSCs

Cited 1 time

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For the identification of GA-MSCs, flow cytometry and induced differentiation were performed as we described previously [14 (link)]. In brief, GA-MSCs were collected and stained with fluorochrome-conjugated antibodies, including anti-CD105-APC, anti-CD90-PerCP, anti-CD73-APC/Cy7, anti-CD44-FITC, anti-CD133-APC and anti-CD34-APC (all from eBioscience. USA) in the dark at 4 °C for 30 min. Then, the cells were centrifuged, resuspended and analyzed using a FACS flow cytometer (BD FACSCanto2, Biosciences). The data were collected and analyzed using FlowJo software (v10.6.2). GA-MSCs were differentiated into osteocytes, adipocytes, and chondrocytes by using ready-to-use differentiation media (all from Cyagen, China) following the manufacturer’s instructions. Adipogenic differentiation was evaluated by Oil Red O staining, osteogenic differentiation was evaluated by Alizarin Red staining, and chondrogenic differentiation was evaluated by Alcian Blue staining. The stain results were observed with an inverted phase contrast microscope (Olympus IX73), and photographs were taken with a digital camera using Image-Pro Plus 6.0 software.

Peng Z., Wu Y., Wang J., Gu S., Wang Y., Xue B., Fu P, & Xiang W. (2023). Development and validation of a glioma-associated mesenchymal stem cell-related gene prognostic index for predicting prognosis and guiding individualized therapy in glioma. Stem Cell Research & Therapy, 14, 56.

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Comprehensive Antibody Panel for Cell Characterization

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Primary antibodies for FACS were anti-CD73-PE (550741, 1:100), anti-CD90-FITC (555595, 1:200) from Biosciences and anti-CD105-APC (17-1057, 1:100) from eBioscience. Primary antibodies for Western blot were anti-WRN (sc-5629, 1:500), anti-β-Actin (sc-130301, 1:3,000), anti-β-Tubulin (sc-5274, 1:3,000) from Santa Cruz Biotechnology, anti-P21 (2947, 1:2,000), anti-HP1γ (2619, 1:1,000) from Cell Signaling Technology, anti-LAP2β (611000, 1:2,000) and anti-P16 (4828, 1:200) from BD Bioscience. Antibodies for immunofluorescent staining were anti-hSMA (ZM-0003) from ZSGB-Bio, anti-Progerin (sc-81611, 1:50), anti-Lamin A/C (sc-7293, 1:200) from Santa Cruz Biotechnology, anti-HP1γ (2619, 1:500) from Cell Signaling Technology, anti-53BP1 (A300-273A, 1:500) from Bethyl Laboratories, anti-γ-H2AX (05-636, 1:500) from Millipore, anti-LAP2β (611000, 1:500), anti-hCD31 (555445, 1:200) from BD Bioscience, and anti-Ki67 (VP-RM04, 1:1,000) from Vector.

Geng L., Liu Z., Zhang W., Li W., Wu Z., Wang W., Ren R., Su Y., Wang P., Sun L., Ju Z., Chan P., Song M., Qu J, & Liu G.H. (2018). Chemical screen identifies a geroprotective role of quercetin in premature aging. Protein & Cell, 10(6), 417-435.

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Characterization of Pluripotent Stem Cells

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MSCs isolated from Bichat fat pads of different patients, were analyzed by flow cytometry for the expression of two markers that characterized this sub-population of stem cells defined as pluripotent. The antibodies employed to perform analysis were an anti-SEEA3-AF488 (eBiosciences; dilution used 1:1000) and an anti-CD105-APC (eBiosciences; dilution used 1:1000). Cells were incubated at 4°C for 30 min in PBS solution with each antibody and then washed by centrifugation and resuspension in fresh PBS. Isotype controls (Rat IgM Isotype Control Alexa Fluor 488 and Mouse Ig1K Isotype Control APC) were used to exclude the not specific binding and were diluted 1:1000.

Conti G., Bertossi D., Pré E.D., Cavallini C., Scupoli M.T., Ricciardi G., Parnigotto P., Saban Y., Sbarbati A, & Nocini P.F. (2018). Regenerative potential of the Bichat fat pad determined by the quantification of multilineage differentiating stress enduring cells. European Journal of Histochemistry : EJH, 62(4), 2900.

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Derivation and Characterization of hMSCs from hESCs

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hMSCs were derived from hESCs as described previously (Pan et al., 2016 (link)). In brief, embryoid bodies (EBs) first formed from hESC clones in an ultralow attachment 6-well plate (Corning) in low FGF-2 hESC medium and then were transferred to a plate coated by Matrigel in hMSC differentiation medium (hMSC culture medium supplemented with additional 9 ng/mL FGF-2 and 5 ng/mL TGF-β (HumanZyme)). After 7 to 10 days, the cells became confluent and were reseeded into dishes coated by gelatin in hMSC culture medium. CD73, CD90 and CD105 tri-positive cells were sorted as hMSCs with the aid of flow cytometry. The following antibodies were used: anti-CD73-PE (BD Biosciences, 550257), anti-CD90-FITC (BD Biosciences, 555595) and anti-CD105-APC (eBioscience, 17-1057-42). The differentiation abilities of hMSCs were tested by futher differentiation into chondrocytes, adipocytes and osteoblasts (Liu et al., 2014 (link)) detected by toluidine blue (chondrocytes), oil red O (adipocytes) and von Kossa (osteoblasts) staining, respectively.

Zhang X., Liu Z., Liu X., Wang S., Zhang Y., He X., Sun S., Ma S., Shyh-Chang N., Liu F., Wang Q., Wang X., Liu L., Zhang W., Song M., Liu G.H, & Qu J. (2019). Telomere-dependent and telomere-independent roles of RAP1 in regulating human stem cell homeostasis. Protein & Cell, 10(9), 649-667.

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Phenotypic Characterization of gb-MSCs

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Flow cytometry analysis was performed using fluorochrome-conjugated antibodies. Briefly, subconfluent gb-MSCs were cultured in flasks with serum-free medium (0% DMEM), standard medium containing 10% FBS (10% DMEM), serum-free glioblastoma-conditioned medium (0% gb-CM) and standard glioblastoma-conditioned medium(s-gb-CM) for 72 h. The cells were trypsinized and collected in PBS. After centrifugation, the resuspended cells were stained with fluorochrome-conjugated antibodies, including anti-CD31-PE/Cy7, anti-CD34-FITC, anti-CD73-APC/Cy7, anti-CD90-PE/Cy7, anti-CD14-percp, anti-CD105-APC and anti-CD44-APC/Cy7 (all from ebioscience. USA) as well as anti-PDGFR-β-PE (R&D, USA) in the dark at 4°C for 30 min. Then, the cells were centrifuged, resuspended in PBS and analyzed using a FACS flow cytometer (BD Biosciences). The data were collected and analyzed using FlowJo (TreeStar, Ashland, OR) software.

Yi D., Xiang W., Zhang Q., Cen Y., Su Q., Zhang F., Lu Y., Zhao H, & Fu P. (2018). Human Glioblastoma-Derived Mesenchymal Stem Cell to Pericytes Transition and Angiogenic Capacity in Glioblastoma Microenvironment. Cellular physiology and biochemistry : international journal of experimental cellular physiology, biochemistry, and pharmacology, 46(1).

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