My #Cell_Therapies Threads

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More from @Biotech2k1

29 Dec
Synthetic Biology and My Cell has an app for that:

Some day we might go from my "cell phone" has an app for that to my "cell" has and app for that. This might sound like science fiction, but it might not be as hard as you think.
1/ I spent many years studying the cellular communications pathways inside our cells. These are the pathways that take signals from the receptors which receive signals from the outside and transmit them to the nucleus. Image
2/ The signal is transmitted to the nucleus and turns on genes. Those changes result in an output of some kind in the form of cell behavior. It wasn't until I started to study Synthetic Biology did it makes sense.
Read 7 tweets
27 Dec
Looking at iPSC manufacturing:

A look at how iPSC cells are made.
1/ The pluripotent stem cell is capable of developing into many types of cells. We use to believe that cells could only develop in one direction, but a scientist named Shinya Yamanaka discovery how to take a mitotic cell and revert it back into a stem cell.
2/ This process was celled induced Pluripotent Stem cells. The ability to turn any cell back into a stem cell just by treating it with a combination of various transcription factors.
Read 12 tweets
27 Dec
How to Build a Cell Therapy:

A look at the editing that goes into CAR-T and CAR-NK cell therapies.
1/ The first major challenge to any cell therapy is to overcome the rejection of the cells by host immunity. All cells have a MHC code on them that labels them as "self".
2/ When a person's MHC code does not match someone else, you can get the cells attacking the patient or the patients immune cells attacking the donor cells.
Read 18 tweets
27 Dec
For Whom does the Cell Toll? (A History of cell therapies)

A look at the history of cell therapies and editing.
1/ Engineering cells for cell therapies brings together the best of synthetic biology and genomics. Its about taking cells and reprogramming them into a therapy to treat disease.
2/ My focus in this space has been highly geared toward immune cells like T and NK cells. I will look at the evolution of cell therapies and where we are going.
Read 22 tweets
24 Dec
Taking a look at the use of Tech in Biotech.

Here we will look at the use of Automation, Artificial Intelligence and Machine Learning in the Discovery of new drugs.
1/ Introduction:

It can take up to 10 years to develop a new drug. A majority of that time is spent in the lab testing targets and ideas. Its the process of sorting through thousands of potential targets to find the one that is worth advancing.
2/ It can cost a ton of money to develop a drug. The statistics show that it can cost upward of $2.5 billion to bring a new drug all the way to commercial. The high level of failure and high costs of testing and discovery is one space where technology can really help.
Read 25 tweets
24 Dec
Game plan updated:

I don't think I have changed anything this week. I came close today to nibbling one of my stocks that got hit today for no reason, but waited. I have no plans of selling anything this year as my taxes are closed out for 2021.
All * mean my top 3 the extras are subject to trading sale later. I bought a ton of extra companies down here so I have more to sell for profits on the way back up.

My cash is at 25.95% My lowest cash position since the Spring of 2020.
AI Based Drug Development:

$SDGR 3.53% *
$RLAY 2.82%
$RXRX 2.12% *
$EXAI 2.12% *
Read 8 tweets

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