LA JOLLA — Scientists at Scripps Research have devised a method that may be able to shortcut one
of the big steps in modern vaccine development.
The researchers, whose work appears in Science Advances on January 19, 2022,
showed that they could use high-resolution, low-temperature electron microscopy (cryo-
- EM) to rapidly characterize antibodies—elicited by a vaccine or infection—that bind to a
desired target on a virus at an atomic level.
“The COVID-19 pandemic has highlighted the need for robust and rapid vaccine and
antiviral technologies,” says study senior author Andrew Ward, PhD, a professor in the
Department of Integrative Structural and Computational Biology at Scripps Research.
“We are optimistic that our new approach will help fill that need by greatly streamlining
antibody discovery.”
“Traditionally, identifying antibodies that are useful against a virus involves the laborious
sorting and testing of antibody-producing B cells to find the right ones—a process that
takes months,” says Postdoctoral Research Associate and study co-first author
Aleksandar Antanasijevic, PhD.
“With this new method we can go from blood sample collection from infected or
immunized patients to identifying all the elicited antibodies of interest in about ten days,”
adds Staff Scientist and study co-first author Charles Bowman.
The researchers’ feat was enabled in part by recent improvements in cryo-EM, a
technology that uses a beam of electrons to illuminate and image targets far below the
scale of ordinary light microscopy. In a study published in Nature Communications in
August, for example, the researchers used high-resolution cryo-EM to rapidly and
precisely map where antibodies in rhesus macaque monkeys bind to synthetic versions
of the HIV envelope protein that are being developed for potential HIV vaccines.
In the new study, the team took this line of research a step further. They employed a
“structure-to-sequence” computer algorithm that can relate antibody structure
determined by cryo-EM, to the DNA sequence that would produce that structure.
For this, they assembled a library of all the antibody-encoding DNA sequences from the
Monkeys – obtained by quickly bulk sequencing the genetic material from antibodyproducing
B-cells from the animals’ lymph nodes. Applying the algorithm to the cryo-EM
data and the antibody sequence library, the scientists could reliably match an antibody
of interest in their cryo-EM images to a unique antibody defined in the sequence
database.
The researchers showed that they could confirm the accuracy of the result by making
copies of that unique, “monoclonal” antibody using the sequence data, and verifying
with cryo-EM that the antibody binds in an identical way to the originally imaged
antibody.
The scientists are now refining their technique to optimize its speed and usability, and
are applying it to several areas: to rapidly evaluate human antibody responses to
experimental HIV vaccines; to develop antibody-blocking treatments for autoimmune
diseases; and to discover antibodies that could therapeutically hit other protein targets
on cells.
They expect that future improvements in cryo-EM technology and structure-to-sequence
algorithms will allow the even more rapid identification of antibodies using highresolution
structural images alone, with no need for DNA sequencing of B cells.
“This structure-to-sequence approach has a lot of potential in immunology and beyond,”
Antanasijevic says. “We envision being able to use it someday to study protein-toprotein
interactions generally, for example, to discover a given protein’s binding
partners.”
