Sudarshan Pinglay
@sudpinglay.bsky.social
270 followers 200 following 45 posts
Scientist at UW Genome Sciences and the Seattle Hub for Synthetic Biology. http://pinglay-lab.com/ synBio/genomics/soccer/heavy metal/food
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Reposted by Sudarshan Pinglay
nobuhamazaki.bsky.social
New paper from my lab and @jshendure.bsky.social lab! Led by the brilliant @zukailiu.bsky.social and @cxqiu.bsky.social. We tackled how anterior and posterior progenitor cells cooperate to self-organize into an embryonic structure (termed AP-gastruloid). (1/n) www.biorxiv.org/content/10.1...
sudpinglay.bsky.social
We are hiring a scientist to lead our 'Build' team at the Seattle Hub for Synthetic Biology. @alleninstitute.org

Job posting below:
alleninstitute.org/careers/jobs...

Please reach out if you have any questions!
Jobs
We are working to solve the biggest mysteries in bioscience.
alleninstitute.org
sudpinglay.bsky.social
A big thank you to all co-authors - looking forward to seeing where we can take this approach.

If you are interested in joining us on this effort, check out our website: www.pinglay-lab.com
Pinglay Lab
www.pinglay-lab.com
sudpinglay.bsky.social
Finally, we demonstrate that data resulting from SGE is compatible with training predictive machine learning models.

We are very excited about using SGE to generate the synthetic data needed to train the next generation of models for biological design.
sudpinglay.bsky.social
SGE is generalizable across cell types. We engineer T-cells (Jurkat) to grow without valine.

We believe a similar strategy could help create more resilient T-cells for therapy, capable of surviving and functioning in the metabolically depleted environments of tumors. Hopefully more here soon!
sudpinglay.bsky.social
A big thank you to all co-authors - looking forward to seeing where we can take this approach.

If you are interested in joining us on this effort, check out our website: www.pinglay-lab.com
Pinglay Lab
www.pinglay-lab.com
sudpinglay.bsky.social
Finally, we demonstrate that data resulting from SGE is compatible with training predictive machine learning models.

We are very excited about using SGE to generate the synthetic data needed to train the next generation of models for biological design.
sudpinglay.bsky.social
We then used SGE to engineer CHO cells to grow without isoleucine, a feat we could not achieve via rational design and delivery of entire synthetic pathways.

Again, mitochondrial localization was favored, with individual clones reflecting ~40-50kb of integrated DNA!
sudpinglay.bsky.social
Using SGE, we screened millions of pathway combinations in a single experiment to engineer CHO cells that grew at WT rate (~1.1 day/doubling) in valine-free medium.

Intriguingly, the best clones all employed mitochondrial localization of pathway components, not cytoplasm as in our prev. design.
sudpinglay.bsky.social
In collaboration with Harris Wang’s lab, we previously engineered cells to grow without valine by importing 4 genes from E.coli.

However, the cells grew 4x slower than normal - and we could not extend this strategy to enable any other amino acid prototrophies.

doi.org/10.7554/eLif...
Resurrecting essential amino acid biosynthesis in mammalian cells
Mammalian cells were engineered to synthesize valine, a metabolic capacity that had been lost from the lineage of higher eukaryotes for >500 million years.
doi.org
sudpinglay.bsky.social
As a test case, we used SGE to engineer essential amino acid prototrophy in mammalian cells, a behavior last seen over 500 million years ago.

Unlike E. coli, which can make all 20 proetinogenic amino acids, mammals lack the pathways for 9 “essential” ones and must obtain them through the diet.
sudpinglay.bsky.social
In SGE, we clone and deliver a TU library at high MOI so that each cell gets a random mix, assembling a unique synthetic metabolic pathway per cell. Cells with the desired phenotype (e.g., survival or fluorescence) are selected, and TU barcodes are sequenced to identify functional combinations.
sudpinglay.bsky.social
To address this, we developed Shotgun Genetic Engineering (SGE), which leverages the fact that building and delivering many small, barcoded transcription units - each with a gene, promoter and localization signal - is exponentially easier than delivering a single large construct to a mammalian cell.
sudpinglay.bsky.social
Mammalian metabolic engineering is key to advancing bioproduction, cell therapy, and rejuvenation.

But as pathway complexity grows, so does the combinatorial design space! However, delivering large DNA constructs to mammalian cells is inefficient, making large unbiased screens intractable.
Reposted by Sudarshan Pinglay
evgenykvon.bsky.social
Our paper describing the Range Extender element which is required and sufficient for long-range enhancer activation at the Shh locus is now available at @nature.com. Congrats to @gracebower.bsky.social who led the study. Below is a brief summary of the main findings www.nature.com/articles/s41... 1/
Range extender mediates long-distance enhancer activity - Nature
The REX element is associated with long-range enhancer–promoter interactions.
www.nature.com
Reposted by Sudarshan Pinglay
nzmyachie.bsky.social
CAGT was fun! Thanks @carldeboer.bsky.social @sudpinglay.bsky.social and the de Boer lab for organizing! Folks from Seattle, Oregon, and other places. Great community. Arman gave a usual super talk, and Sanchit and Dayag won poster prizes☺️
Reposted by Sudarshan Pinglay
sudpinglay.bsky.social
Such a cool story Maximus! Congrats
sudpinglay.bsky.social
Let’s gooo! Congrats Dave and team - glad to see this out.
sudpinglay.bsky.social
We are hiring a person to join our team at the Seattle Hub for Synthetic Biology. Please share the word!

Link to apply:
alleninstitute.org/careers/jobs...
Jobs
We are working to solve the biggest mysteries in bioscience.
alleninstitute.org