Sub-clustering, marker identification and multi-omics integration influenced by protoplasting in plant scRNA-seq data analysis DOI Creative Commons
Jie Yao, Nianmin Shang, Hongyu Chen

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 17, 2024

Abstract Single-cell RNA sequencing (scRNA-seq) technology is a powerful tool for exploring cell heterogeneity and lineage dynamics, revealing complex mechanisms driving tissue function development. However, plant cell’s rigid walls require protoplasing step, an enzymatic process that can introduce biases. The impact of protoplasting on scRNA-seq data remains poorly understood. In this study, we analyzed gene expression patterns from bulk RNA-seq various tissues before after protoplasting. Cell-type specific effects were discovered in different tissues. Protoplasting-related biases found to distort clustering, marker identification, multi-omics integration. By calculating protoplasted scores based expression, identified mitigated effects, enabling the accurate clustering annotation tobacco BY-2 cells identification cell-cycle-related genes. Our findings underscore importance assessing correcting analysis, offering new insights more interpretation biological discovery.

Язык: Английский

A Single-Nucleus Atlas of Seed-to-Seed Development in Arabidopsis DOI Creative Commons
Travis Lee, Tatsuya Nobori, Natanella Illouz‐Eliaz

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Март 24, 2023

SUMMARY Extensive studies of the reference plant Arabidopsis have enabled a deep understanding tissues throughout development, yet census cell types and states development is lacking. Here, we present single-nucleus transcriptome atlas seed-to-seed employing over 800,000 nuclei, encompassing diverse set across ten developmental stages, with spatial transcriptomic validation dynamic seed silique. Cross-organ analyses revealed transcriptional conservation heterogeneity within individual influenced by organ-of-origin timing, including groups transcription factors, suggesting gatekeeping factor activation. This provides resource for study type specification continuum stimulus-response genetic perturbations at single-cell resolution.

Язык: Английский

Процитировано

33

Auxin as an architect of the pectin matrix DOI Creative Commons
François Jobert, Sandeep Yadav, Stéphanie Robert

и другие.

Journal of Experimental Botany, Год журнала: 2023, Номер 74(22), С. 6933 - 6949

Опубликована: Май 11, 2023

Abstract Auxin is a versatile plant growth regulator that triggers multiple signalling pathways at different spatial and temporal resolutions. A cell surrounded by the wall, complex dynamic network of polysaccharides. The wall needs to be rigid provide mechanical support protection highly flexible allow shape acquisition. modification pectin components, among other processes, mechanism which auxin activity alters properties wall. precisely controls transcriptional output several genes encoding remodelling enzymes, their local activity, deposition, modulation in developmental contexts. This review examines regulating chemistry organ, cellular, subcellular levels across diverse species. Moreover, we ask questions remain addressed fully understand interplay between development.

Язык: Английский

Процитировано

14

Sub-clustering, marker identification and multi-omics integration influenced by protoplasting in plant scRNA-seq data analysis DOI Creative Commons
Jie Yao, Nianmin Shang, Hongyu Chen

и другие.

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 17, 2024

Abstract Single-cell RNA sequencing (scRNA-seq) technology is a powerful tool for exploring cell heterogeneity and lineage dynamics, revealing complex mechanisms driving tissue function development. However, plant cell’s rigid walls require protoplasing step, an enzymatic process that can introduce biases. The impact of protoplasting on scRNA-seq data remains poorly understood. In this study, we analyzed gene expression patterns from bulk RNA-seq various tissues before after protoplasting. Cell-type specific effects were discovered in different tissues. Protoplasting-related biases found to distort clustering, marker identification, multi-omics integration. By calculating protoplasted scores based expression, identified mitigated effects, enabling the accurate clustering annotation tobacco BY-2 cells identification cell-cycle-related genes. Our findings underscore importance assessing correcting analysis, offering new insights more interpretation biological discovery.

Язык: Английский

Процитировано

0