Year: 2024
Type: article
Abstract: Single-cell proteomics (SCP) is an emerging approach to resolve cellular heterogeneity within complex tissues of multi-cellular organisms. Here, we demonstrate the feasibility of SCP on plant samples using the model plant Arabidopsis thaliana. Specifically, we focused on examining isolated single cells from the cortex and endodermis, which are two adjacent root cell types derived from a common stem cell lineage. From 756 root cells, we identified 3763 proteins and 1118 proteins/cell. Ultimately, we focus on 3217 proteins quantified following stringent filtering. Of these, we identified 596 proteins whose expression is enriched in either the cortex or endodermis and are able to differentiate these closely related plant cell types. Collectivity, this study demonstrates that SCP can resolve neighboring cell types with distinct functions, thereby facilitating the identification of biomarkers and candidate proteins to enable functional genomics.
Source: New Phytologist
DOI: 10.1111/nph.19923
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,790
Funders: National Science Foundation, Howard Hughes Medical Institute, U.S. Department of Agriculture, Iowa State University, National Institute of Food and Agriculture, Plant Sciences Institute, Iowa State University, National Cancer Institute, Division of Integrative Organismal Systems, Duke Cancer Institute
Awards: G2163448079, G380286070, G5763092970, NSF Postdoctoral Fellowship in Biology FY 2020: Reconstructing spatial-temporal responses to drought in Arabidopsis and rice using time series single-cell transcriptomics, G704522546, Context-dependent activity of an essential transcription factor, G8251501588, Cancer Center Support Grant (CCSG), G925607663
OpenAlex ID: W4399978423