Linda Burkly
Analyst · Stifel. Your line is open.
Thank you, Dae Gon. To your first question, yes, in terms of the LNP, the delivery obviously is critical for getting POC. We have shared our interest in targeting hematopoietic stem cells, and this is obviously to translate the remarkable success we are having with our reni-cel asset. We are obviously trying to target hematopoietic stem cells in-vivo. We have also though we haven’t disclosed all of the disease areas that we are interested in. And other than HSCs, we have mentioned that, we are interested in targeting the liver. And so there are validated LNPs for targeting liver. So there is a pragmatic approach here based on delivery.
Gilmore O’Neill: If I may add, Linda. Thank you. It is not just the delivery tool that we are leading with an LNP that actually determines how we select our targets. Obviously, delivery is an important element. Obviously, amenability to function up regulation is important. We are actually also selecting diseases, based on their clinical translatability, in that we want to be ensure that we can actually get obvious clinical signals in our human proof-of-concept. And obviously then, we also further filter that by ensuring that we are truly differentiated to ensure or maximize probability, not just a technical, clinical, regulatory, but actually also commercial success. And then, with regard to your second question, what do we expect to see from the BEAM data set? Frankly, obviously, we are looking forward to seeing it. It is always good to see continued pursuit of therapeutics within a clinical space for which there is an enormous, enormous unmet need in the context of sickle cell disease and transfusion dependent thalassemia. It is very hard, I can’t speculate on what BEAM would show. I look forward to hearing it, and we all look forward to hearing it. But I will tell you that, we are very happy with the differentiated profile that we are developing for a reni-cel. It is important to point out that we are very happy with the biological profile, the hematological profile, the clinical profile, all of which are very strong. And in addition, as we have alluded to, our confidence in the evolution in the current state of and the continued evolution of our manufacturing from the success rates is very gratifying. Overall, we actually feel very good. Of course, it is important also to remember, as I said earlier that, an additional piece of the data includes our non-clinical, including our off target editing, which is very robust. As I said, in the package we have generated. And of course, some of that robustness stems from us using ASCAS12a as opposed to Cas9 with its differentiated high efficacy, high fidelity characteristics.