Yes, I mean, yes, no, it's great question, because I think it's data that we've shared, and we're happy to continue to share more. Well, we have shared in the past is with the PN edition of PN chemistry, we do see much deeper, broader penetration across the CNS. So that's translating the uptake across tissues, the data that we share, related to Huntington reduction from the backage D model, it’s in the corporate deck, is striatal data. So what we've seen differently with the application of PN is broader, deeper penetration. But ultimately, that is why, Salim’s earlier question I think, why the data for SNP3 is going to be interesting, because one of the things that we tend to do is C9, we're going to be looking is primarily cortex, spinal cord, and whether it relates to HD we know that that's cortex and the gray structures like striatum. So these data continue to help, will help clarify for us preclinical, or clinical translation as we measure this, but we've seen that it's not tissue specific either. We've seen deep penetration, as Mike was talking about, we're looking at tissue concentrations in DMD and muscle. And so we think not only is it helping the distribution and helping with retention, stability, and we believe that's why we're seeing target engagement at low single doses that's also durable. And so I think these data being able to translate it from preclinical to clinical is going to be important. I think, to your point as well, being able to dose with lower doses we think we has a lot of advantages as we're going forward to be able to explore a multitude of diseases. And as we share today, 006, our first AIMer for Alpha-1 antitrypsin deficiency, we shared that one of the advantages to being able to get hold and durable editing was a function of being able to apply PN chemistry on top of our coyote control molecules.