We spoke with several experts for our WetLab, DryLab and MentalLab approaches and integrated the results of those interviews into our designs and experimental procedures. We documented the input we received thoroughly by transcribing and summarizing recordings of the respective interviews. We also collected background information about mycology and reached out to several safety experts for risk assessments and the creation of operating instructions regarding α-amanitin.
"It is most important that treatment starts early"
As liver cells seem to be able to secrete α-amanitin before it enters the enterohepatic circulation, we plan to provide as much nanobody as is needed to bind the toxin in the nucleus and prevent it from blocking the polymerase. The cells will have enough time to excrete the toxin and are protected in the meantime. This approach can be combined with uptake blockers such as silibinin or indocyanine green, a promising antidote against α-amanitin which Prof. Eyer told us about.
"The good thing about nanobodies is that they have this expanded CDR3 loop which can be bent in the ways you want to"
As Dr. Schäfer told us, Ni-NTA affinity chromatography is a typical apprch for purification of his-tagged nanobodies in immunology laboratories, which validated our choice of this tagging and purification method for our nanobody construct. Furthermore, the focus of the delivery part of our project got expanded by this enriching discussion. Besides our LNP-mediated uptake approach, we now additionally investigated the possibility to fuse a second nanobody to the one binding the toxin, which is able to directly penetrate the cell membrane. The fusion to other nanobodies could not only be helpful for cell penetration but for extending the half-life of nanobodies as well, which is another aspect we considered in our further research for a more advanced therapy version. Upon the recommendation to try the software Chai2 for the in silico development part, we reached out several times to gain access and run our calculations with this software. Unfortunately, no free version exists since we got no response to our outreach, no cooperation could be started.
"You guys picked a really really really hard problem"
Our AI-based pipeline for designing nanobodies as binding proteins for alpha-Amanitin was refined with input from Prof. Schoeder. The use of different models capable of considering all atoms and non-protein targets helped us improve our modeling approach and reach promising candidates. The stringent endpoint for nanobody design was relaxed to better accommodate our goal of generating an expressable, therapeutically useful, and designable binding protein.
"Why do you want to write a children’s book? Why should someone read it?"
Following Dr. Offe’s tips, we reached out to various organizations for science communication, especially for students, such as the MINTforum Hamburg (a cooperation of initiatives for children and students interested in STEM). We also discussed the audience we want to target in general regarding age, previous knowledge and interest in scientific topics. As we want our book to be available to everyone, we decided against the option of taking donations in exchange for downloads, and linked the PDF here on our wiki.
"I mean, it's not a problem of weeks, of months, but of years, if you have to figure this one out."
The feedback of Dr. Kropivšek and Prof. deMarco helped us assess the range of our search for a high affinity binding nanobody. Prof. deMarco was adamant to keep the developability/expressability of final designs in mind, so we did implement AI models in our in silico workflow, trained to predict solubility, fold stability and the probability to successfully express the nanobodies in prokaryotes. Additionally we made an effort to obtain a nanobody library to parallelize our in silico search with a screening method, but with Prof. deMarco’s input stopped this path in favor of concentrating on our initial design and validation efforts.
Together with Dr. Schwinge and her team, we designed a theoretical experimental workflow to test and characterize the effect of a nanobody antidote. Within this workflow, we discussed how the toxicity and efficiency of the nanobody antidote could be assessed in an in vitro cell culture setting. We considered both advantages (high reproducibility and availability of tools) and challenges (time requirements and possible readouts). Our discussions on available liver models, analyses, and visualization devices—such as fluorescence microscopy and fluorescence-activated cell sorting (FACS)—enabled us to assemble a series of potential experiments. For example, we discussed using an ELISA assay to validate our nanobody’s binding effect to the toxin with an anti-GFP nanobody and GFP. Since this system had already been used as a test candidate in the wet lab for our expression and production pipeline, it would also allow direct comparison with results obtained for the actual toxin. We also openly addressed potential practical challenges, such as identifying the correct concentrations, managing possible nanobody toxicity, and determining appropriate incubation times at each step. Since the generation of the nanobody has not yet been finalized and establishing the cell culture would require additional time, these experiments could not yet be carried out in practice.
"Nobody expected to find antibodies in dromedars that were much smaller than conventional antibodies"
Alejandro describing nanobodies, their mode of binding and their functions in diagnostics and therapeutics in such a creative and fun way sparked our idea to write a small book for children and non-scientists about nanobodies. The metaphors and pictures he used were already so fitting and vivid that we could transfer them easily into drawings and descriptions. We were really infected by his enthusiasm (no pun intended) and wanted to pass it on to others as well. Additionally, as Alejandro mentioned that nanobodies are usually humanized for therapeutic application to make them invisible to the immune system, we looked for humanized scaffolds in our in silico design approach. This way, our designed nanobody would hopefully be non-immunogenic as well.
"Amatoxin is probably the mushroom toxin that scares doctors the most."
From Ms. Haberl, we learned a lot of detailed facts about identification of the death cap mushroom, as well as numbers and facts regarding toxin concentrations in different mushroom species. We use this information on our wiki to explain risks regarding the death cap. As silibinin seems to be quite expensive as a therapeutic for poisonings, we aim to make our antidote as affordable as possible. Since we picked E. coli to produce our nanobody, we hope that upscaling for higher production yields will be easy and low-cost later. Ms. Haberl also gave us the contact information of Bühlmann Laboratories AG, the company producing ELISA kits against α-amanitin. We reached out to them, but unfortunately they were not able to give us more information on the antibodies used for detecting the toxin.
"Mushrooms vary greatly from region to region in terms of toxicity and the composition of their toxins"
Prof. Begerow’s field of study does not include the death cap per se, but he still gave us a nice overview and recommended other experts to us. Following his tips, we reached out to various other mycologists.
We sat down with Dr. Himmel to discuss potential risks and dual-use concerns regarding our project. We incorporated the results of our discussions into iGEM’s safety forms and reached out to additional safety experts he mentioned. With the help of Prof. Dr. Kolbe, a specialist for work safety at the University of Hamburg, Ms. Klug, Prof. Dr. Süßmuth and other contacts from academia and industry, we performed a thorough risk assessment and prepared new operating instructions detailing the handling of α-amanitin as well as proper storage and especially safe disposal of the toxin.