In all cases, bone marrow biopsy evaluation was performed as a part of the staging workup for MM at iliac spine. In selected patients (cases 16, 17, and 18), typical HU < 0 LBLs underwent to needle biopsy. In detail, 3-μm-thick slides were obtained from formalin-fixed, decalcified paraffin-embedded marrow samples. Following the routine protocol for bone marrow examination, the slices were stained with H&E, PAS, and Giemsa. Marrow fibrosis was assessed by reticulin stain. The immunohistochemical characterization of plasma cells was performed using the following antibodies: anti-CD138 (clone MI15 Dako, Glostrup, Denmark), anti-MUM1 (clone MUM1p, Dako, Glostrup, Denmark), anti-CD56 (clone 504 Leica, Milan, Italy), anti-cyclin D1 (clone EP12, Dako, Glostrup, Denmark), anti-CD20 (clone L26, Dako, Glostrup, Denmark), anti-CD79a (clone 11E3, Leica, Milan, Italy), anti-CD3 (clone LN10, Novocastra, Milan, Italy), and Mib1 (clone Mib1 Dako, Glostrup, Denmark). An anti-CD68 antibody (clone PGM1, Dako, Glostrup, Denmark) was used to assess the presence and distribution of peri-trabecular osteoclasts.
Anti cd138 clone mi15
Manufactured by Agilent Technologies
Sourced in Denmark, Belgium
Anti-CD138 (clone MI15) is a monoclonal antibody that targets the CD138 antigen, also known as Syndecan-1. CD138 is a cell surface proteoglycan expressed on plasma cells and some types of epithelial cells. This antibody can be used in various laboratory applications, including flow cytometry, immunohistochemistry, and other immunoassays, to detect and analyze CD138-positive cells.
Automatically generated - may contain errors
Lab products found in correlation
Anti cd68 antibody clone pg m1, by Agilent Technologies (1 mentions)
Anti cd20 clone l26, by Agilent Technologies (1 mentions)
Anti mum1 clone mum1p, by Agilent Technologies (1 mentions)
Mib1 clone mib1, by Agilent Technologies (1 mentions)
Envision system, by Agilent Technologies (1 mentions)
Qwin based analysis system, by Leica (1 mentions)
Anti cd3 clone sk7, by BD (1 mentions)
2 protocols using anti cd138 clone mi15
1
Comprehensive Bone Marrow Biopsy Analysis in MM
2
Quantifying Immune Cell Populations in Tissue
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Sections (5 μm each) were cut and mounted on StarFrost adhesive glass slides (Knittelgläser, Braunschweig, Germany). Sealed slides were stored at −80°C until further use. LN tissue sections were stained using mouse monoclonal antibodies against T cells (anti-CD3, clone SK7; Becton Dickinson, Breda, the Netherlands), B cells (anti-CD22, clone RFB4; Millipore, Amsterdam, the Netherlands) and plasma cells (anti-CD138, clone MI15; Dako, Heverlee, Belgium).
Staining was performed using a three-step immunoperoxidase method to detect bound anti-CD138 antibodies, as described previously [17 (link)]. For anti-CD3 and anti-CD22, we used a two-step immunoperoxidase method with a secondary polymer—horseradish peroxidase—conjugated anti-mouse antibody (EnVision+ System; Dako). As a negative control, irrelevant isotype-matched immunoglobulins, instead of the primary antibody, were applied to the sections. Staining was analysed by digital image analysis in a blinded fashion using a Syndia algorithm on a Qwin-based analysis system (Leica, Cambridge, UK) as described previously [18 (link)]. The number of positive cells was calculated for each section as the number of positive cells per square millimetre of tissue.
Staining was performed using a three-step immunoperoxidase method to detect bound anti-CD138 antibodies, as described previously [17 (link)]. For anti-CD3 and anti-CD22, we used a two-step immunoperoxidase method with a secondary polymer—horseradish peroxidase—conjugated anti-mouse antibody (EnVision+ System; Dako). As a negative control, irrelevant isotype-matched immunoglobulins, instead of the primary antibody, were applied to the sections. Staining was analysed by digital image analysis in a blinded fashion using a Syndia algorithm on a Qwin-based analysis system (Leica, Cambridge, UK) as described previously [18 (link)]. The number of positive cells was calculated for each section as the number of positive cells per square millimetre of tissue.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!