Searching across hundreds of databases
This service exclusively searches for literature that cites resources. Please be aware that the total number of searchable documents is limited to those containing RRIDs and does not include all open-access literature.
CD33 is an attractive immunotarget on the surface of tumor cells from patients with acute myeloid leukemia (AML). In a first attempt for immunotargeting of AML blasts we constructed two bispecific antibodies in the single chain bispecific diabody (scBsDb) format by fusing the variable domains of monoclonal antibodies directed against CD3 and CD33. Unfortunately, protein expression of both scBsDbs resulted in varying mixtures of fragmented and full length proteins. As the non-functional fragments competed with the functional full length antibodies we tried to understand the reason for the fragmentation. We found that the anti-CD3 and anti-CD33 antibody genes show striking sequence homologies: during B cell development the same V(h) J558 heavy and V(l) kk4 light chain genes were selected. Moreover, the closely related D genes DSP2 (9 and 11) were combined with the same JH4 gene. And finally, during VJ recombination of the light chain the same JK5 element was selected. These homologies between the two monoclonal antibodies were the reason for recombinations in the cell lines generated for expression of the scBsDbs. Finally, we solved this problem by (i) rearranging the order of the heavy and light chains of the anti-CD3 and anti-CD33 domains, and (ii) a replacement of one of the commonly used glycine serine linkers with a novel linker domain. The resulting bispecific antibody in a single chain bispecific tandem format (scBsTaFv) was stable and capable of redirecting T cells to CD33-positive tumor cells including AML blasts of patients.
Welcome to the FDI Lab - SciCrunch.org Resources search. From here you can search through a compilation of resources used by FDI Lab - SciCrunch.org and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that FDI Lab - SciCrunch.org has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on FDI Lab - SciCrunch.org then you can log in from here to get additional features in FDI Lab - SciCrunch.org such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into FDI Lab - SciCrunch.org you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter your papers by.
From here we'll present any options for the literature, such as exporting your current results.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Year:
Count:
The SciCrunch Infrastructure was developed as a cooperative data platform to be used by diverse communities in making data more FAIR.
scicrunch.org
