Hugues Renault

@huguesrenault.bsky.social

Plant biologist 🌿 | Research Director @cnrs.fr | Evolutionary and Adaptive Biochemistry lab | www.ibmp.cnrs.fr

Our lates preprint!💃 Kudos to Jente and Judith for going above and beyond with CRK's biochemical and biophysical characterisation! Tour the collaborative effort! Fruitful and fun 🙏🙏🙏 Take a look if you want to know what it takes and what it means to make a dimmer! 🤝

bioRxivpreprint@biorxivpreprint.bsky.social · 6d ago

Structural and functional insights into the role of Cysteine-Rich Receptor-Like Kinase 18 (CRK18) in Arabidopsis https://www.biorxiv.org/content/10.64898/2026.07.30.741491v1

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

Chemical probes + imaging can reveal spatiotemporal patterns of a wide range of physico-chemical features in plants, without the need for genetic access. We reviewed what tools exist and how they can be used & engineered. Chemistry meets plant cell biology! www.annualreviews.org/content/jour...

Chemical Probes for Functional Plant Imaging

The advent of spatial and quantitative biology has led to immense advances in understanding the complex inner workings of plants, down to the molecular scale. Functional imaging of live plants, which ...

annualreviews.org

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...

Benchmarking plant single cell RNA-sequencing sample processing strategies - The EMBO Journal

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.

doi.org