Maite Colinas
@maitecolinas.bsky.social
🌱, natural products, enzymes, regulation, evolution, not necessarily in this order. Currently Project Group Leader at Department of Natural Product Biosynthesis @mpi-ce.bsky.social. Former MSCA fellow. Always daydreamer.(she/her)
Reposted by Maite Colinas
Yi continues on their single-nucleus RNA-seq approach to reveal localized and cell type-specific pathways in plant during root-microbiome interaction
See their @natcomms.nature.com
www.nature.com/articles/s41...
Pseudomonas WCS417 and plant genes
#BGIspatialmicrobiome
See their @natcomms.nature.com
www.nature.com/articles/s41...
Pseudomonas WCS417 and plant genes
#BGIspatialmicrobiome
Comparative single-nucleus RNA-seq analysis revealed localized and cell type-specific pathways governing root-microbiome interactions - Nature Communications
Plant roots are exposed to a diverse range of soil-dwelling microbial “friends” and “foes.” Here, via single-nucleus RNA-seq, the authors reveal cell type-specific responses to beneficial and pathogen...
www.nature.com
October 22, 2025 at 7:29 AM
Yi continues on their single-nucleus RNA-seq approach to reveal localized and cell type-specific pathways in plant during root-microbiome interaction
See their @natcomms.nature.com
www.nature.com/articles/s41...
Pseudomonas WCS417 and plant genes
#BGIspatialmicrobiome
See their @natcomms.nature.com
www.nature.com/articles/s41...
Pseudomonas WCS417 and plant genes
#BGIspatialmicrobiome
I like that idea!
October 4, 2025 at 8:17 AM
I like that idea!
Indeed. Maybe interactions could be explored more? In particular those detecting transient interaction like TurboID or so.
October 3, 2025 at 5:27 PM
Indeed. Maybe interactions could be explored more? In particular those detecting transient interaction like TurboID or so.
Precisely! Worked extremely well in this case because of high co-expression in both bulk and snRNA-seq data but such neat co-expression pattern are not always observed for specialized metabolic pathways..
October 3, 2025 at 2:25 PM
Precisely! Worked extremely well in this case because of high co-expression in both bulk and snRNA-seq data but such neat co-expression pattern are not always observed for specialized metabolic pathways..