We did whole genome crispr designs at my last university job. Can confirm that off target effects are an issue with cas9. Pattern matching across the genome to see if a design is unique takes some time. These were interesting pipelines to work on.
It’s only a matter of time before the next better thing shows up.
Have you written about your experience anywhere? It would be interesting to see how you approached the research sector as a layperson. Are there any plans to move to in vivo? Best of luck with your research!
Seconding this comment. I would love to read a write-up about your experience and how you’ve been trying to work on solutions for yourself. Stories like these are valuable to the field and inspiring to other folks dealing with a tough diagnosis.
This is wild, have you written about it publicly, or can you expand on it here?
So how does Cas12a2 mitigate off-target effects?
If it were to work, gene therapy as-is would be possible. Which it is not,
not even for those overpriced therapies. I have no doubt that sooner or later
it will happen, as the problem space is finite, not infinite, but I simply
don't see the correlation here.
> The implications of Cas12a2 on undruggable conditions that exhibit known driver mutation profiles is profound.
So what does this change exactly? Humans defined it as "undruggable conditions". You can reason this is an improvement, but I still see it in failure-territory. If it were to work, gene therapy would be an accurate - and affordable - technique. Which it is not right now.
> I am a layperson in this field (I'm a SWE, not in biotech), but I am happy to answer questions.
How does "answering questions" offset the technology being inferior right now?
I know nothing about this field, but I imagine the actual problem is how do you deliver the Cas12a2 protein to each individual cancer cell compare to a viral gene therapy?
There are two major problems, delivery is one of them. Collateral damage of mass cell destruction leading to systemic inflammation is the other.
The approach I'm reviewing now uses lipid nanoparticles (LNPs) for delivery. It isn't great for targeting my bone marrow condition but its workable. The team hasn't optimized it at all, either. There are also viral delivery mechanisms that I haven't studied yet.
The collateral damage problem is the backpressure on the delivery problem. If you get really good at delivery, you can destroy A LOT of cells very quickly. The human body (usually) responds to these events by releasing a lot of pro-inflammatory cytokines. This can lead to cytokine storms or worse.
As you "get good" at killing the target cells, the net effect can turn bad. It will probably be a balancing act.
Lipid nanoparticles are quite old as-is. How do you target cells specifically?
> If you get really good at delivery, you can destroy A LOT of cells very quickly.
You can destroy cells quickly. Ok. So the question is: how do you detect specifically only cancer cells via lipid nanoparticles? That was already a problem years ago with Herceptin. The rationale that is always used is that "we need to do something" for certain aggressive cancers. It has never been a super-effective technique, despite all the promo of how monoclonal antibodies are so accurate.
> As you "get good" at killing the target cells, the net effect can turn bad. It will probably be a balancing act.
That's already the status quo in the whole cancer field. I don't think that more than sloppy accuracy is acceptable for any gene therapy - and the off-target cleaving of CRISPR has always been the number #1 problem here.
> So the question is: how do you detect specifically only cancer cells via lipid nanoparticles?
You don't. Healthy cells will also get these nanoparticles, but without the triggering DNA sequence, the mRNA payload will remain inert and eventually will be degraded.
Naively, I would deal with this by deciding how many cells I want to kill each day and then figure out a dosing schedule that achieves that. Or maybe it's better to do one dose every few days. But yeah either way.