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Cd41a apch7

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The CD41a-APCH7 is a laboratory instrument designed for the detection and analysis of CD41a, a specific surface marker, using flow cytometry. It provides accurate and consistent measurements of CD41a expression levels in biological samples.

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Lab products found in correlation

Cd45ra bv711, by BioLegend (3 mentions) Clinimacs, by Miltenyi Biotec (3 mentions) Lineage cocktail bv510, by BD (3 mentions) Cd36 percpcy5, by BD (3 mentions) Cd110 apc, by BD (3 mentions) Cd34 bv421, by BioLegend (3 mentions) Cd135 pe, by BioLegend (3 mentions) Cd38 pecf594, by BD (3 mentions) Cd34 apc, by BD (1 mentions) Facs lyse wash assistant, by BD (1 mentions) Kdr pe, by BD (1 mentions) Cd235a bv421, by BD (1 mentions) Lsr 2 flow cytometer, by BD (1 mentions) High throughput sampler, by BD (1 mentions) Lsrfortessa sorp, by BD (1 mentions) Cd14 bv605, by BioLegend (1 mentions) Cd34 pe cy7, by BioLegend (1 mentions) Cd235a percp cy5, by BioLegend (1 mentions) Cd45ra bv421, by BioLegend (1 mentions) Cd10 pe dazzle594, by BioLegend (1 mentions)

Close spelling variants of this product

CD41a

5 protocols using cd41a apch7

1

Multiparametric Flow Cytometry Analysis

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Differentiated cells were treated with 1X TrypLE™ Express for 5 min at 37 °C to obtain a single a cell suspension. Cell pellets were resuspended in FACS buffer (DPBS with FBS 2%) and cells were counted with a hemocytometer. A final amount of 1 × 105 cells resuspended in 100 µl of FACS buffer with a dilution of 1:20 antibody was used for each analysis. The following cell surface antigens were analyzed for this study: KDR-PE (BD, 560494), CD34-APC (BD, 555824), CD43-FITC (Thermo Fisher Scientific, MHCD4301), CD41a-APCH7 (BD, 561422) and CD235a-BV421 (BD, 562938). Cells were washed using the BD FACS Lyse/Wash assistant (BD) and analyzed using BD LSRII flow cytometer (BD). Size and cell complexity were used to identify cell populations in a scatter graph representation. Single cells were discriminated using FSC-A and FSC-H and live cells were gated from single cell population using DAPI nuclear staining. Analysis of data was performed using FlowJo software (Tree Star Inc.). At least 10.000 events were collected for each analysis.
Melguizo-Sanchis D., Xu Y., Taheem D., Yu M., Tilgner K., Barta T., Gassner K., Anyfantis G., Wan T., Elango R., Alharthi S., El-Harouni A.A., Przyborski S., Adam S., Saretzki G., Samarasinghe S., Armstrong L, & Lako M. (2018). iPSC modeling of severe aplastic anemia reveals impaired differentiation and telomere shortening in blood progenitors. Cell Death & Disease, 9(2), 128.
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2

Isolation and Characterization of Hematopoietic Progenitor Cells

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Human granulocyte colony-stimulating factor (G-CSF) mobilized peripheral blood was CD34+ enriched (CliniMACS; Miltenyi), stained with Lineage cocktail-BV510 (BD), CD34-BV421 (Biolegend), CD38-PECF594(BD), CD45Ra-BV711, CD135-PE (Biolegend), CD36-PerCPCy5.5 (BD), CD110-APC (BD) and CD41a-APCH7(BD) antibodies. Human MEP (Lin−CD34+CD45Ra−CD135−CD38midCD110+CD36−-CD41a−), ErP (Lin−CD34+CD45Ra−CD135−CD38highCD110−), MkP (Lin−CD34+CD45Ra−CD135−CD38midCD110+CD36−CD41a+) and CMP (Lin−CD34+CD45Ra−CD135+) were sorted on a FACSAria, as previously described (Sanada et al., 2016 (link)).
Xavier-Ferrucio J., Ricon L., Vieira K., Longhini A.L., Lazarini M., Bigarella C.L., Franchi G J.r., Krause D.S, & Saad S.T. (2017). Hematopoietic defects in response to reduced Arhgap21. Stem cell research, 26, 17-27.
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3

Isolation and Characterization of Hematopoietic Progenitor Cells

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Human granulocyte colony-stimulating factor (G-CSF) mobilized peripheral blood was CD34+ enriched (CliniMACS; Miltenyi), stained with Lineage cocktail-BV510 (BD), CD34-BV421 (Biolegend), CD38-PECF594(BD), CD45Ra-BV711, CD135-PE (Biolegend), CD36-PerCPCy5.5 (BD), CD110-APC (BD) and CD41a-APCH7(BD) antibodies. Human MEP (Lin−CD34+CD45Ra−CD135−CD38midCD110+CD36−-CD41a−), ErP (Lin−CD34+CD45Ra−CD135−CD38highCD110−), MkP (Lin−CD34+CD45Ra−CD135−CD38midCD110+CD36−CD41a+) and CMP (Lin−CD34+CD45Ra−CD135+) were sorted on a FACSAria, as previously described (Sanada et al., 2016 (link)).
Xavier-Ferrucio J., Ricon L., Vieira K., Longhini A.L., Lazarini M., Bigarella C.L., Franchi G J.r., Krause D.S, & Saad S.T. (2017). Hematopoietic defects in response to reduced Arhgap21. Stem cell research, 26, 17-27.
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4

Isolation of Hematopoietic Progenitor Subsets

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Human granulocyte colony-stimulating factor (G-CSF) mobilized peripheral blood was CD34+ enriched (CliniMACS; Miltenyi) and stained with Lineage cocktail-BV510 (BD Biosciences [BD]), CD34-BV421 (Biolegend), CD38− PECF594 (BD), CD45Ra-BV711 (Biolegend), CD135-PE (Biolegend), CD36-PerCPCy5.5 (BD), CD110-APC (BD), and CD41a-APCH7 (BD) antibodies. Human MEPs (Lin−CD34+CD45Ra−CD135−CD38midCD110+CD36−CD41a−), MkPs (Lin−CD34+CD45Ra−CD135−CD38midCD110+CD36−CD41a+), and ErPs (Lin−CD34+CD45Ra−CD135−CD38hiCD110−) were sorted on a FACSAria, as previously described3 (link).
Scanlon V.M., Thompson E.N., Lawton B.R., Kochugaeva M., Ta K., Mayday M.Y., Xavier-Ferrucio J., Kang E., Eskow N.M., Lu Y.C., Kwon N., Laumas A., Cenci M., Lawrence K., Barden K., Larsuel S.T., Reed F.E., Peña-Carmona G., Ubbelohde A., Lee J.P., Boobalan S., Oppong Y., Anderson R., Maynard C., Sahirul K., Lajeune C., Ivathraya V., Addy T., Sanchez P., Holbrook C., Van Ho A.T., Duncan J.S., Blau H.M., Levchenko A, & Krause D.S. (2022). Multiparameter analysis of timelapse imaging reveals kinetics of megakaryocytic erythroid progenitor clonal expansion and differentiation. Scientific Reports, 12, 16218.
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5

Hematopoietic Subset Analysis by Flow

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The flow cytometry panel used to define hematopoietic subsets was composed of CD34-PECy7, CD90-PECY5, CD38-AF488, CD371-PE, CD45Ra-BV421, CD14-BV605, CD42b-AF647, CD10-PEDazzle594, CD235a-PerCPCy5.5 (BioLegend, California), CD15-BUV395, CD41a-APCH7, CD71-BV786 (BD Biosciences, California), and DAPI for dead cell exclusion (ThermoFisher, California). In short, Day 6 cells were harvested, FcR-blocked (FcR binding inhibitor, ThermoFisher), surface-stained, then analyzed in a buffer containing TruCount Control Beads using a BD LSR Fortessa SORP fitted with a high-throughput sampler (BD Biosciences, California). Data was analyzed in Diva 6.0.2 and exported to CSV where after all cell data was transformed to cell per mL then normalized on a per-donor basis to untreated control wells to determine drug impact.
Wilson J.L., Lu D., Corr N., Fullerton A, & Lu J. (2020). An in vitro quantitative systems pharmacology approach for deconvolving mechanisms of drug-induced, multilineage cytopenias. PLoS Computational Biology, 16(7), e1007620.
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