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PhD student (Her/She) in plant cell biology, I am working on plant root. 🪵🪵🌴🌲🍀🌿🌱 @ University of Freiburg

Great Job!👏🏻👍👍

🥳 We managed! #teamwork

We are now watching a nice ‘movie’ created by Sophie! She is presenting her work on lateral roots!🌱👍

Not sure which scRNA-seq platform to use for 🪴 plant samples? How well do doublet detection algorithms really work in 🌱? How can I optimise sample prep ? Find out in our benchmark study! Led by @carogro.bsky.social and @thomaseekhout.bsky.social. Open access at EMBO Journal: doi.org/10.1038/s443...

New OA Article: "Cell-type-specific autophagy in root-hair-forming cells is essential for salt stress tolerance in Arabidopsis thaliana" rdcu.be/fhdNJ Enhanced autophagy helps Arabidopsis store excess sodium, control oxidative stress and tolerate salt stress. #PlantScience

Our excursion to Syngenta Crop Protection Research Stein offered insights into seed care, chemistry, and product development. From designing active compounds to creating practical crop protection solutions, one key message stood out: innovation starts with “thinking like a farmer.”

@dompsfr.bsky.social is well represented at the #Rooting2026 conference! We just heard a great talk by @lauraragni.bsky.social. You can check out our posters #7 (@hengqi.bsky.social) and #4 (mine) today, and listen to my talk tomorrow.

The isolation of single plant cells from complex tissues is prone to selective enrichment and sampling biases, which complicates accurate profiling of the large diversity in cell types. Optimizing methodologies for cell enrichment and single-cell transcriptomics is therefore critical for single-cell studies addressing plant cell heterogeneity. Here, we systematically compared protoplast enrichment technologies (including conventional and image-based flow cytometry, as well as magnetic cell sorting) and single-cell RNA sequencing (scRNA-seq) platforms (10X Genomics Chromium, BD Rhapsody) using Arabidopsis roots. Image-based flow cytometry offered increased precision due to customizable gating strategies, while magnetic sorting provided faster processing and enhanced representation of cell size heterogeneity. Both scRNA-seq platforms captured root cell heterogeneity and yielded reproducible gene expression profiles, but showed platform-associated differences in cell type composition. Notably, single-nucleotide polymorphism analysis of a mixed ecotype sample revealed that, among cells identified as doublets by computational algorithms, two-thirds were likely to have been misclassified. These insights identify key biases in plant cell purification and scRNA-seq workflows and provide practical guidance for improving data quality across plant species.

New Article: "Root hair lifespan is antagonistically controlled by autophagy and programmed cell death" rdcu.be/fhdSG Autophagy negatively regulates senescence-induced programmed cell death to maximize the functional lifespan of root hairs. #PlantScience

Very proud of my student @hengqi.bsky.social who won best poster award #rooting2026 #proudPI @dompsfr.bsky.social

We are now watching a nice ‘movie’ created by Sophie! She is presenting her work on lateral roots!🌱👍

It’s FINALLY out! We investigated the natural variations for endodermal suberin and identified SUBER GENE1 (SBG1)- Type One Protein Phosphatases (TOPPs) as a novel module that regulates endodermal suberization. @mariebarberon.bsky.social rdcu.be/fgU6g #PlantScience

Nature Plants - A genetic screen across Arabidopsis accessions identifies SBG1 as a regulator of root abscisic acid response and endodermal suberin deposition via type 1 protein phosphatases,...

Incredible job of the @dompsfr.bsky.social organizers #ProudPi

Super proud of the team organizing this year's @dompsfr.bsky.social #plantscience symposium 🌱 We had a blast!