One cell at a time
About RCAI
RCAI is a self-funded initiative that provides an interactive single-cell gene expression reference atlas of the root ( https://rootcellatlas.org ).By using cutting-edge single-cell data analytics solutions, we can now determine which of the 27000 Arabidopsis genes are activated for each individual root cell. As a result, a unique profile is mapped for each gene and projected onto a virtual root. In this way, plant researchers all over the world can easily read out how certain genes are expressed in the root and how they differ from other root cell types or subtypes. This is key to understanding at the gene level how the root cells are formed and function during development and stress.
RCAI founding members
Jian Xu
Jian
Victoria Mironova
Victoria
Rahul Shaw
Rahul has ~5 years of working experience and expertise in single-cell “multiomics” (e.g., scRNA-seq and scATAC-seq) data analysis. He is also experienced with analytical methodology and computational pipeline development to explore modern large-scale biological datasets. He processed 7 independent Arabidopsis root scRNA-seq datasets and integrated them to build a unified single-cell reference map. He used a wide collection of marker genes to annotate the cells into diverse types of root cells like never before. He also used a combination of “pseudotime” and zone markers to set the progressive boundaries of different developmental zones of the root.
Maria Savina
Maria
Xin Tian, Eric
Eric is an experimental biologist with more than 10 years of experience working in the wet lab. He specializes in designing and optimizing the experimental pipeline for the single-cell RNAseq experiments. For the RootCellAtlas project, he served as a consultant during data analysis and designed assays to validate the biological findings derived from the analysis.