a monoclonal antibody to human dlk1 reveals differential expression in cancer and absence in healthy tissues

Clicks: 319
ID: 200038
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #8 of 22 articles by views in analytical methods

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
There is considerable interest in the characterization of novel tumor-associated antigens that lend themselves to antibody-mediated pharmacodelivery strategies. Delta-like 1 homolog protein (DLK1), which exists both as transmembrane protein and in soluble form, shows a restricted pattern of expression in healthy organs, while being overexpressed in some tumors. We have generated a human antibody specific to DLK1 using phage display technology. This reagent was used for a comprehensive characterization of DLK1 expression in freshly frozen sections of normal human adult tissues and of xenografted human tumors. DLK1 was virtually undetectable in most organs, except for placenta which was weakly positive. By contrast, DLK1 exhibited a moderate-to-strong expression in 8/9 tumor types tested. Our analysis shed light on previous conflicting reports on DLK1 expression in health and disease. The study suggests that DLK1 may be considered as a target for antibody-mediated pharmacodelivery strategies, in view of the protein’s limited expression in normal tissues and its abundance in the interstitium of neoplastic lesions.
Reference Key
bujak2015antibodiesa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Emil Bujak;Danilo Ritz;Dario Neri
Journal analytical methods
Year 2015
DOI
10.3390/antib4020071
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.