Very excited to report on our lab’s unexpected adventure into subtyping cancer cachexia by way of anatomy, where we study the evolution of the bodies (not the genomes!) of patients with cancer during profound weight loss. Led by Sonia Boscenco. https://t.co/QP2k3CrHl2
How do bacteria organize? 🦠 @BU_Tweets researchers reveal in @CellPressNews that colony shape, metabolism & nutrients drive growth, diversity & striking rings. Learn more: https://t.co/rqTdObv42z
This #teamscience effort rose out of C-CoMP's need to collaborate on and integrate genome-informed 'omics data and metadata across time + space for our two model organisms R. pomeroyi and A. macleodii. Congrats to all authors! Read more👇!
Microbial metabolism operates at the level of pathways, cells, ecosystems. Some quantitative principles hold at multiple scales and may help connect them. Many fun conversations with Daniel Sher (@MCE_lab) and Mick Follows, condensed in a new perspective:
https://t.co/PvezYtk5Eq
It's out! Our review on "Quantitative principles of (microbial) metabolism shared across scales" is out in Nature Microbiology. Studies of metabolism often focus on one specific scale (enzyme, cell, organism, community) – yet they are connected. How can we bridge this gap?
Our new paper reveals a remarkable ability in marine bacteria: they extract methyl groups from algal metabolites, creating a metabolic shortcut that accelerates the shift from lag phase to growth. Expertly led by @MartinSperfeld and @Narvaez_Delia_
https://t.co/YrxFvWEShf
Article on a phenomenon we refer to as the divergence-complexity effect in #MicrobialCommunities, by Michael Silverstein – collaboration between the labs of @jennymbhatnagar & @dsegre – out at @NatureEcoEvo. https://t.co/oXPwbuLHmZ. What is the idea? 1/2
🚨Our latest study on #CeliacDisease (CeD) is now live on #bioRxiv! We uncovered crucial insights into the #metabolic malfunction of small intestinal epithelial cells in CeD and identified FDA-approved drugs that can rectify these metabolic abnormalities.
https://t.co/Osx4Hm5ZtA
1/n Can LLMs perform scientific research? And, can they do so while enhancing key scientific values including transparency, traceability & verifiability? Check out our preprint on the "data-to-paper" platform. w the amazing @TalIfargan@LostInTranscrip https://t.co/60Go3TR5tn
Multi-Attribute Subset Selection is an algorithm to identify the most descriptive growth conditions in microbial phenotyping experiments. This streamlines high-throughput phenotyping efforts and helps to reveal biological insights: https://t.co/J7tZshdu2p
@segrelab, @YPaschalidis
Our latest publication lead by @RBLVAL is out 🎉 revealing a fascinating collaboration between bacteria and algae! 🌊🧫 We've uncovered how bacteria contribute a polysaccharide to an algal-bacterial shared matrix, promoting aggregation! 🧶🔬
https://t.co/Nr0IA7ybGS
What happens when integer programming meets the #microbiome? Multi-Attribute Subset Selection (MASS). Joint work with the @dsegre group at @BU_Tweets and my former student @TaiyaoWang in Nature's @CommsBio https://t.co/giQgFmCHkA
New work posted on #biorxiv_biophys: "Biophysical metabolic modeling of complex bacterial colony morphology" https://t.co/A6WI1WrvBF, based on #COMETS (@RunCOMETS), led by @idouk with Kirill Korolev
Congratulations to Prof. Yonina Eldar of Department of Computer Science and Applied Mathematics and Prof. @TPilpel of the Department of Molecular Genetics for being awarded the #LandauPrize for Sciences and Arts awarded by Mifal HaPais
Proud to present our new pre-print on a collaborative, community effort to curate a metabolic reconstruction for Alteromonas macleodii ATC C 27126, a highly flexible marine bacterium https://t.co/hYez904Ppi
Post-doc alert! Interested in microbiology, metabolism and modeling? Want to explore how microbial interactions reduce mortality in the most abundant phytoplankton on Earth? Join our team... https://t.co/1w4EQhhbkO @HaimTreves@dsegre@segrelab Please RT