Reversible phosphorylation of NPH3/RPT2-like proteins regulates phototropin receptor signaling (Stuart Sullivan , Pawel Hermanowicz , Takeshi Higa , et al) doi.org/10.1093/plce... #PlantScience @aspbofficial
"genAI can be used to create podcasts from a paper to teach st-"
Let me stop you right there. Before you feed somebody's paper to a slop machine, invite that somebody to talk to your students about their paper. We're right here. We academics won't shut up about our work, man. 🧪
Self-sustained Circadian Oscillators Confer Enhanced Fitness Under Changing Photoperiods ☀️ @currentbiology.bsky.social
@drummonk.bsky.social and I wrote a dispatch on fascinating back to back pubs from the labs of Carl Johnson and Michael Rust.
www.sciencedirect.com/science/arti...
A circle inscribed in a square with dots randomly placed. Dots in the circle are colored gold, and dots outside of the circle are colored blue.
Estimate of Pi as a function of # of dots. At <10,000 dots, the estimate varied more, but stablized around 3.14 when # of dots become sufficiently large.
In the spirit of Pi day: you can estimate Pi by counting randomly placed dots inside a circle inscribed in a square. Area of circle is Pi*r^2; area of square is 4r*2, so ratio of # of dots inside circle relative to total dots is ~Pi/4. The estimate becomes more accurate w/ more dots placed.
Excited to share our latest preprint. Arabidopsis thaliana has been the leading model for plant genetics - but most of what we know comes from growth chambers.
Can this model also help us understand how climate shapes plants in the wild and reveal gene functions under real environmental variability?
TESS confirms what we saw with Kepler and K2 - on average, ***every single small red star has a planet around it***! And a short-period one at that (<30 days).
And you know what the galaxy is mostly made of?
Small red stars.
PLANETS. PLANETS EVERYWHERE!!!
Happy weekend pondering that, everyone.
Wise words from Miltos "Be intellectually humble — if you are studying an interesting question, remember that the question is bigger than one’s intellect. Put your ego aside so you can learn from others, read a lot and respect your co-workers and colleagues at all levels."🙏
Feeling blue? Find out more about the dark side of phototropin signalling 😀 academic.oup.com/plcell/advan...
Jennifer Nemhauser’s and my tribute to our amazing friend and mentor, the extraordinary Joanne Chory.
Read about our personal and professional reminiscences. Thanks to all who provided background for this.
www.pnas.org/doi/10.1073/...
Please consider attending this conference in the Swiss Alps meetings.embo.org/event/26-pla... . Exciting science & great venue, lots of opportunities for selected talks from abstracts.
Join the conversation on Bluesky with #EMBOispp2026
🎉📣 #TAIR12, the latest reannotation of the Arabidopsis thaliana genome, is now available under accession number PRJEB100887 on ENA and NCBI!
Thank you all the volunteer researchers whose hard work has made this possible!
#plantscience #plantbiology 🧪
bit.ly/3ZHtneT
We also collected genes based on expression dynamics across the day and mapped these communities back to snRNAseq, finding enrichment in specific cell states and types.
This allows retention of genes that are expressed at a low level, but with consistent measurements. Many transcription factors are among the genes that are recovered using this method, and they map to specific cell populations in single-nucleus RNAseq data.
This is the most generalizable work I think I have every done. RNAseq is everywhere these days, and most analysis pipelines have a step for filtering out genes that are expected to be too noisy to interpret. We came up with a strategy to filter based on variance, rather than expression level.
Precision-Based Filtering Facilitates Integration of Conventional and Single-Nucleus Transcriptomes to Identify Time- and Temperature-Sensitive Cell Populations www.biorxiv.org/content/10.64898/2026.01...
