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Anti cd44 antibody

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The Anti-CD44 antibody is a laboratory reagent used for the detection and analysis of the CD44 protein, which is expressed on the surface of various cell types. This antibody can be used in techniques such as flow cytometry, immunohistochemistry, and Western blotting to identify and characterize cells expressing the CD44 antigen.

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Lab products found in correlation

Dynabeads protein g, by Thermo Fisher Scientific (1 mentions) Ba 9400, by Vector Laboratories (1 mentions) Anti ki 67 antibody, by Vector Laboratories (1 mentions) Discovery xt biomarker platform, by Roche (1 mentions) Vp rm04, by Vector Laboratories (1 mentions) Anti ccnd1 antibody, by Abcam (1 mentions) Peg b 47, by Abcam (1 mentions) Cba kit, by BD (1 mentions) Accuri, by BD (1 mentions) Facsaria 3, by BD (1 mentions) Facsaria fusion flow cytometer, by BD (1 mentions)

Spelling variants of this product

Anti-CD44 (84 citations) APC-conjugated anti-CD44 antibody (7 citations) PE-conjugated anti-CD44 antibody (6 citations) Anti-CD44-PE antibody (5 citations) CD44 antibody (4 citations) FITC-conjugated mouse anti-human CD44 antibodies (4 citations) FITC mouse anti-human CD44 antibody (3 citations) FITC-conjugated anti-CD44 antibody (3 citations) Anti-CD24 (PE) and anti-CD44 (FITC) antibody (2 citations) FITC)-conjugated anti-CD44 monoclonal antibody (2 citations)

6 protocols using anti cd44 antibody

1

CD44-Chi3l1 Interaction Dynamics

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Cd44-/- and WT mice were treated with APAP for 2 hr; 10 mg liver proteins were extracted from treated mice and incubated with 5 μg rmChi3l1, followed by immunoprecipitation with 2 μg anti-CD44 antibody (BD Pharmingen, 553131). Dynabeads Protein G (Invitrogen, 1003D) were used to pull down antibody-binding proteins. Input and immunoprecipitated proteins were subject to Western blot analyses.
Shan Z., Li L., Atkins C.L., Wang M., Wen Y., Jeong J., Moreno N.F., Feng D., Gui X., Zhang N., Lee C.G., Elias J.A., Lee W.M., Gao B., Lam F.W., An Z, & Ju C. (2021). Chitinase 3-like-1 contributes to acetaminophen-induced liver injury by promoting hepatic platelet recruitment. eLife, 10, e68571.
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2

Multiparametric Flow Cytometry Analysis

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Cultured cells were resuspended by trypsinization and incubated with anti-CD24 antibody (BD Biosciences, #56092), anti-ALDH1A1 antibody (CST technology, #65583) or anti-CD44 antibody (BD Biosciences, #560890) for 30 min in ice-bath and washed with PBS under dark condition. Flow cytometry was employed to count cell numbers with fluorescence signals, and the data were analyzed by the software of FlowJo version 10.6.1.
Wang K., Chen S., Wu Y., Wang Y., Lu Y., Sun Y, & Chen Y. (2023). The ufmylation modification of ribosomal protein L10 in the development of pancreatic adenocarcinoma. Cell Death & Disease, 14(6), 350.
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3

Histological and Immunohistochemical Analysis of Raman Imaging Samples

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After Raman imaging, the tissues were fixed in 4% paraformaldehyde (4 °C overnight) and subsequently processed to be embedded in paraffin. Tissue sections (5 μm) were stained with hematoxylin and eosin (H&E), and immunohistochemistry staining was performed using the DISCOVERY XT biomarker platform (Ventana, Tucson, AZ, USA). Heat-induced epitope retrieval was performed using citrate buffer (pH 6.0). The primary antibodies were diluted as follows: anti-CD44 antibody (1:500; #550538; BD Biosciences, San Jose, CA, USA), anti-Ki-67 antibody (1:250, VP-RM04, Vector Laboratories Inc., Burlingame, CA, USA), anti-CCND1 antibody (1:500; Abcam, Cambridge, MA, USA), and anti-PEG antibody (1:100, PEG-B-47, ab51257, Abcam). All biotin-labeled secondary antibodies, including anti-rabbit antibody (1:300, BA-1000) and anti-rat antibody (1:300, BA-9400), were purchased from Vector Laboratories. All murine specimens were examined by a veterinary pathologist (JRW) from the Tri-Institutional Laboratory of Comparative Pathology who was blinded to the Raman images. All rat specimens were examined by a pathologist (MvdR) from the Department of Pathology at Stanford University who was blinded to the Raman images.
Harmsen S., Rogalla S., Huang R., Spaliviero M., Neuschmelting V., Hayakawa Y., Lee Y., Tailor Y., Toledo-Crow R., Kang J.W., Samii J.M., Karabeber H., Davis R.M., White J.R., van de Rijn M., Gambhir S.S., Contag C.H., Wang T.C, & Kircher M.F. (2019). Detection of Premalignant Gastrointestinal Lesions Using Surface-Enhanced Resonance Raman Scattering−Nanoparticle Endoscopy. ACS nano, 13(2), 1354-1364.
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4

Immune Profiling of Tumor-PBMC Interaction

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The immunophenotyping assay was conducted in vitro to investigate the immune response induced by tumor cells in PBMC through anti-CD3 (FITC or APC), -CD4 (FITC or APC), -CD8 (FITC or PE) surface antibodies, -CD56 (PEcy5.5 or APC), -CD25 (PercP), -CD14 (FITC), -B7.1 (PE), -B7.2 (APC), -HLA-DR (PercP). Intracellular antibodies anti-FoxP3 (PE), -perforin (FITC), granzyme (PercP), -IL-17 (PE), -IFN (APC), and IL-10 (PE) were also used. For specific identification of the MDA-MB 231 lineage, the anti-CD44 antibody was used (all antibodies were from BD®, Franklin Lakes, NJ, USA). The cytokines IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-α, and IL-17 were investigated using the CBA kit (BD®) from the culture supernatant. All acquisitions were performed using flow cytometry (Accuri BD®, Ann Arbor, MI, USA), and 30,000 events in the P1 region (lymphocytes or monocytes gates) for cellular investigation and 2100 events for humoral investigation through cytokine production in experimental groups. Analyses were performed using the Accuri cytometry platform.
Santos D.L., São Marcos B.D., de Sousa G.F., Cruz L.C., Barros B.R., Nogueira M.C., Oliveira T.H., Silva A.J., Santos V.E., de Melo C.M, & de Freitas A.C. (2024). Immunological Response against Breast Lineage Cells Transfected with Human Papillomavirus (HPV). Viruses, 16(5), 717.
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5

CD44 Expression and Plasticity in Breast Cancer Cells

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We first sorted cells for endogenous CD44 using FACS Aria III (BD Biosciences), we then seeded 105 cells of CD44high and CD44low on six-well plates with E2 supplement and incubated them for 7 days. After 7 days, cells were trypsinised and stained with anti-CD44 antibody (FITC, BD) for FACS. In order to follow plasticity in real time, we sorted MCF7- and LTED-CD44-GFP cells for GFP expression using FACS Aria III (BD Biosciences). Overall, 105 cells of CD44GFP-high and CD44GFP-low were seeded on six-well plates with E2 supplement or deprivation. Five pictures per condition were taken using an EVOS microscope system (Advanced Microscopy Group, Bothell, WA, USA) for 14 days. Fifty different fields were counted. The percentage of GFP-positive cells was calculated by the number of GFP-positive cells/number of total cells × 100.
Hong S.P., Chan T.E., Lombardo Y., Corleone G., Rotmensz N., Bravaccini S., Rocca A., Pruneri G., McEwen K.R., Coombes R.C., Barozzi I, & Magnani L. (2019). Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy. Nature Communications, 10, 3840.
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6

Flow Cytometric Analysis of CD44 Expression

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10µL of whole blood was diluted with PBS (1:150 dilution). 30µL of this diluted sample was incubated with the titrated volume of anti-CD44 antibody (BD Biosciences) in the dark at room temperature for 20 min. CD44 labelled RBCs were then washed and resuspended in 300 µL of PBS and used for analysis on BD FACSAria™ Fusion Flow Cytometer, and results were expressed in MCF as described earlier [10 (link)].
Saptarshi A.N., Dongerdiye R.K., More T.A, & Kedar P.S. (2023). Development of High-Resolution Melting Curve Analysis for rapid detection of SEC23B gene mutation causing Congenital Dyserythropoietic Anemia type II in Indian population. Italian Journal of Pediatrics, 49, 84.
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