missing translation for 'onlineSavingsMsg'
Learn More
  1. Home
  2. Products
  3. Antibodies
  4. Primary Antibodies
  5. All Primary Antibodies
  6. 18773487

Mouse CD68/SR-D1 Alexa Fluor 700-conjugated Antibody, R&D Systems™
GREENER_CHOICE

Rabbit Monoclonal Antibody

Brand:  R&D Systems IC101141N-100UG

Product Code. 18773487

  • € 492.00 / 100µg

Please to purchase this item. Need a web account? Register with us today!

This item is not returnable. View return policy

Description

Description

CD68/SR-D1 Monoclonal specifically detects CD68/SR-D1 in Mouse samples. It is validated for Intracellular Staining by Flow Cytometry.
TRUSTED_SUSTAINABILITY
Specifications

Specifications

CD68/SR-D1
Monoclonal
Alexa Fluor 700
Supplied 0.2 mg/mL in a saline solution containing BSA and Sodium Azide.
CD_antigen: CD68, CD68, CD68 antigen, CD68 molecule, DKFZp686M18236, GP110, LAMP4, macrophage antigen CD68, macrosialin, SCARD1, scavenger receptor class D, member 1, SRD1, SR-D1
Chinese Hamster Ovary cell line, CHO-derived mouse CD68, Asp21-Pro282, Accession # P31996
100 μg
968
Mouse
Supernatant
Flow Cytometry
2449D
Intracellular Staining by Flow Cytometry 0.25-1 μg/106 cells
P31996
Rabbit
Protein A or G purified from cell culture supernatant
Primary
Detects mouse CD68 in direct ELISAs.
Protect from light. Do not freeze. 12 months from date of receipt, 2 to 8°C as supplied.
IgG
Product Suggestions

Product Suggestions

Videos
SDS
Documents

Documents

Certificates
Promotions

Promotions

Product Content Correction

Your input is important to us. Please complete this form to provide feedback related to the content on this product.

Product Title

By clicking Submit, you acknowledge that you may be contacted by Fisher Scientific in regards to the feedback you have provided in this form. We will not share your information for any other purposes. All contact information provided shall also be maintained in accordance with our Privacy Policy.

Thank You! Your feedback has been submitted. Fisher Scientific is always working to improve our content for you. We appreciate your feedback.