Pieter Dorrestein (@pdorrestein1) 's Twitter Profile
Pieter Dorrestein

@pdorrestein1

I enjoy chemical analysis by mass spectrometry associated with microbes, microbiome, forensics, agriculture, drug discovery and metabolism. he/him

ID: 3231831854

linkhttps://dorresteinlab.ucsd.edu calendar_today31-05-2015 16:34:56

9,9K Tweet

7,7K Followers

528 Following

CMI @ UC San Diego (@cmidigest) 's Twitter Profile Photo

As an Industry Partner, Complete Genomics will have the opportunity to accelerate CMI’s innovative projects through their next generation sequencing technologies and spatial genomics workflows. cmi.ucsd.edu/2025/01/09/cmi…

Pieter Dorrestein (@pdorrestein1) 's Twitter Profile Photo

Was so great to see you again and your lab members. Also enjoyed talking about bile acid metabolism. I think people will be very excited to see how much they are metabolized by microbes.

CMMC (@microbialcmmc) 's Twitter Profile Photo

An oldie but a goodie 😊 Interested in using the CMMC knowledgebase or contributing your data? Check out this workshop to learn how or see us at cmmc.gnps2.org

An oldie but a goodie 😊

Interested in using the CMMC knowledgebase or contributing your data? Check out this workshop to learn how or see us at cmmc.gnps2.org
Gary Siuzdak (@kadzuis) 's Twitter Profile Photo

Discovery of a family of bile acid-methylcysteamines nature Cornell University @group_Schroeder #activitymetabolomics A nuanced interplay between host and microbiota in regulating bile acid signaling pathways through FXR with a new target for metabolic disorders doi.org/10.1038/s41586…

Olivier George (@brainaddiction) 's Twitter Profile Photo

It's clear that many do not understand what NIH-funded research does to improve health. It's time to revive a study published 10 years ago that provides incredible information about this. link in the comment Every single new drug approved by the FDA from 2010–2016 was built on

It's clear that many do not understand what <a href="/NIH/">NIH</a>-funded research does to improve health. It's time to revive a study published 10 years ago that provides incredible information about this. link in the comment

Every single new drug approved by the FDA from 2010–2016 was built on
Pieter Dorrestein (@pdorrestein1) 's Twitter Profile Photo

This preprint allows for ā€œexplanationā€ of the ion forms using khipu ore annotation and conclude that the dark matter are mostly real compounds - still dark. They find less than 10% ISFs. In the end ISF prevalence is dependent on instrument tuning, type/amt of analyte, matrix, etc

This preprint allows for ā€œexplanationā€ of the ion forms using khipu ore annotation and conclude that the dark matter are mostly real compounds - still dark. They find less than 10% ISFs. In the end ISF prevalence is dependent on instrument tuning, type/amt of analyte, matrix, etc
Enveda (@lifeschemistry) 's Twitter Profile Photo

We are standing at the edge of a new era—one where technology’s impact on humanity is more profound than ever before. At Enveda, we’re pioneering the use of AI to explore the vast 99.9% of unknown chemistry that defines life, unlocking new possibilities for medicine and beyond.

We are standing at the edge of a new era—one where technology’s impact on humanity is more profound than ever before.

At Enveda, we’re pioneering the use of AI to explore the vast 99.9% of unknown chemistry that defines life, unlocking new possibilities for medicine and beyond.
David S. Wishart (@wishartlab) 's Twitter Profile Photo

šŸš€Ā Unlock the Power of Quantitative Metabolomics with the GIGA KIT!Ā šŸ”¬ TheĀ GIGA KITĀ is your all-in-one solution for high-throughput metabolite analysis, quantifyingĀ up to 1780 metabolitesandĀ 400 sums & ratiosĀ acrossĀ 39 chemical families—all from justĀ 40 μLĀ of biofluid! šŸ’”Ā Key

šŸš€Ā Unlock the Power of Quantitative Metabolomics with the GIGA KIT!Ā šŸ”¬
TheĀ GIGA KITĀ is your all-in-one solution for high-throughput metabolite analysis, quantifyingĀ up to 1780 metabolitesandĀ 400 sums &amp; ratiosĀ acrossĀ 39 chemical families—all from justĀ 40 μLĀ of biofluid!
šŸ’”Ā Key
Matej Oresic (@matejoresic) 's Twitter Profile Photo

Happy to share this preprint from our team, great collaboration with Mikael Knip, Pieter Dorrestein, Lahesmaa Group, and Petter Brodin. Special kudos to Santosh Lamichhane . Trajectories of microbiome-derived bile acids in early life - Insights into the progression to islet

Viswa Colluru (@viswacolluru) 's Twitter Profile Photo

This is a special one for us at Enveda: rooted in what matters most in drug discovery, the promise of your drugs. Let’s go!

Mehdi Beniddir (@beniddirm) 's Twitter Profile Photo

Rationally minimizing natural product libraries using mass spectrometry. Interesting work from McCall-Lab and colleagues. Congrats Laura journals.asm.org/doi/10.1128/ms…

Pieter Dorrestein (@pdorrestein1) 's Twitter Profile Photo

A study using an n=1 experiment with single standards at 0V CID reported that 70% of detected ions were in-source fragments (ISFs). nature.com/articles/s42... This was extrapolated to suggest that ISFs affect all experiments to this degree. A counterpoint. rdcu.be/ebFwc

Simone Zuffa (@simonezuffa) 's Twitter Profile Photo

This project was a massive collaborative effort between Duke University , Caltech , and UC San Diego. A big thank you goes to the PIs who made this possible - Rima Kaddurah-Daouk, Sarkis Mazmanian, Rob Knight, and Pieter Dorrestein - and all the collaborators! 13/n