KhongSam Chia

@khongsamchia.bsky.social

Postdoc at @mpi-bio-fml.bsky.social @WeigelWorld . MPMI | Arabidopsis | NLRs

Excited to share our recent paper in Nature Communications! 🎉 Using a 5-year Arabidopsis microbiome dataset, we combined machine learning with experimental validation to identify beneficial microbes that suppress the pathogen Albugo. www.nature.com/articles/s41... Congratulations to all of authors!

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GreenRobust@greenrobust.de · last wk.

New GreenRobust publication by the group of Eric Kemen on using machine learning to identify beneficial microbiota: www.nature.com/articles/s41...

If I were an Early Career Researcher (#ECR) today, I wouldn’t join a lab that doesn’t #preprint (the PI agreed to keep paying me until my paper is finally published). It now takes ages to get papers through peer review, and without preprints you’re putting your future in someone else’s hands.

How do transcription factors bind DNA strongly, and in a switch like manner, while remaining sequence specific? Our new paper on a canonical plant TF suggests the answer is a previously underappreciated assembly state: transcription factor nanoclusters. www.science.org/doi/10.1126/...

Nanoclustering of a plant transcription factor enables strong yet specific DNA binding

Transcription factor nanoclusters balance the DNA binding trade-off between weakly binding oligomers and nonspecific condensates.

science.org

It was great fun seeing our research featured both on national TV, the radio and in a news article this week! Check out how we are hopefully contributing to reducing CO2 emissions in the future. @ottlab.bsky.social

Thomas Ott@ottlab.bsky.social · 2w ago

Gestern Dreh, heute online. Ein kurzer Bericht über unsere Arbeit hier in Freiburg im Rahmen des @ensa-research.bsky.social Projekts und in Kooperation mit @cibss.bsky.social. Danke an @henrietteruebsam.bsky.social und das ganze Team für die Koordination und Mithilfe. www.swr.de/swraktuell/b...

Excited to share the SNPstar! preprint! 🌿 SNPstar helps researchers explore how natural variation in Arabidopsis thaliana affects protein structure and function by integrating SNP data, AlphaFold3 models, stability predictions, population context, and more. www.biorxiv.org/content/10.6...

SNPstar: A Web Server Linking Allelic Variation to Protein Structure and Function in Arabidopsis thaliana

Understanding how natural genetic variants affect protein structure and function is central to plant biology. The 1001 Genomes Project has catalogued millions of single nucleotide polymorphisms (SNPs)...

biorxiv.org