Biotech 🦠, startups 🚀, tech 👨‍💻, web3 🔮.

The economics of Varda Space Industries manufacturing drugs

I was recently intrigued by the story of Varda who is launching satellites to kick start manufacturing in microgravity. This not only scratches my love of sci-fi itch but is also inspirational in terms of the team’s ability to execute and get a payload into space. At this point I’d be happy for them and watching from the sidelines however this detailed blog post by NotBoring.Co outlines much more of Varda’s strategy, with the first vertical being drug manufacturing so I had to dive in deeper.

Programming Transcriptic

So you want to program a biology lab? You’re in the right place.

Today we are going to instruct a completely automated robotic cloud lab to grab a genetically modified strain of bacteria from a library of common reagents, innoculate some bacterial growth media and finally watch how that culture grows over 8 hours by seeing how the bacteria scatter 600nm light.

Generating drug dose ranges with Autoprotocol for screening

I was thinking that when writing a protocol with Autoprotocol it would be really useful to say “Give me a plate of a drug that covers a dose range from 10nM to 100nM”. It turned out that this was a little bit more complex than I had originally thought.

Peter Thiel on randomness in biology

Peter Thiel

Assessing the metabolic burden of a DNA construct on the host, a first draft

Phew it’s been a while! I’ve been busy, but in all honesty I haven’t done a Transcriptic blog recently because I’ve been doing a lot of repetition trying to optimise plating bacteria. There’s a lot to write about, but I think it would be best for both you and I if I try and keep it short. In this post I want to cover doing some rough analysis of early data from my burden assay project on Transcriptic.