Single cell RNA-seq data of Arabidopsis roots
Ontology highlight
ABSTRACT:
ORGANISM(S): Arabidopsis thaliana
PROVIDER: GSE262840 | GEO | 2025/01/26
REPOSITORIES: GEO
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Project description:Muraro2014 - Vascular patterning in Arabidopsis roots
Using a multicellular model, maintanence of vascular patterning in Arabidopsis roots has been studied. The model that is provided here is the single-cell version of the model. The two-cell and multicellular models described in the paper can be downloaded as python scripts (follow the curation tab to get these files).
This model is described in the article:
Integration of hormonal signaling networks and mobile microRNAs is required for vascular patterning in Arabidopsis roots.
Muraro D, Mellor N, Pound MP, Help H, Lucas M, Chopard J, Byrne HM, Godin C, Hodgman TC, King JR, Pridmore TP, Helariutta Y, Bennett MJ, Bishopp A.
Proc Natl Acad Sci U S A. 2014 Jan 14;111(2):857-62.
Abstract:
As multicellular organisms grow, positional information is continually needed to regulate the pattern in which cells are arranged. In the Arabidopsis root, most cell types are organized in a radially symmetric pattern; however, a symmetry-breaking event generates bisymmetric auxin and cytokinin signaling domains in the stele. Bidirectional cross-talk between the stele and the surrounding tissues involving a mobile transcription factor, SHORT ROOT (SHR), and mobile microRNA species also determines vascular pattern, but it is currently unclear how these signals integrate. We use a multicellular model to determine a minimal set of components necessary for maintaining a stable vascular pattern. Simulations perturbing the signaling network show that, in addition to the mutually inhibitory interaction between auxin and cytokinin, signaling through SHR, microRNA165/6, and PHABULOSA is required to maintain a stable bisymmetric pattern. We have verified this prediction by observing loss of bisymmetry in shr mutants. The model reveals the importance of several features of the network, namely the mutual degradation of microRNA165/6 and PHABULOSA and the existence of an additional negative regulator of cytokinin signaling. These components form a plausible mechanism capable of patterning vascular tissues in the absence of positional inputs provided by the transport of hormones from the shoot.
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2024-09-02 | BIOMD0000000522 | BioModels
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Project description:We report the use of high-throughput single-cell RNA sequencing (scRNA-seq) to analyze gene expression in wild-type and mutant Arabidopsis root cells. We demonstrate that using a commercially available platform for droplet-based scRNA-seq (10X Genomics Chromium) enables transcriptional profiling of individual protoplasts representing all of the major cell/tissue types of the root. Furthermore, rare cell types and subtypes have been identified. These single-cell transcriptomes were also used to generate a pseudotime series for the root hair and non-hair cell differentiation pathways. In addition, scRNA-seq was used to define and compare transcriptomes from root epidermis mutants, which enabled a detailed molecular analysis of the mutant phenotype. This study demonstrates the feasibility and usefulness of scRNA-seq in plants and provides a gene expression map at single-cell resolution for the Arabidopsis root.
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Project description:A single cell RNA sequencing atlas of the Arabidopsis root distinguishes cells both by developmental fate and time, revealing defining expression features that depict a complex cascade of developmental progressions from stem cell through differentiation supported by mirroring waves of transcription factor expression. Methods: mRNA profiles of 6-day-old wild-type (WT) and shortroot-knockout Arabidopsis thaliana roots were generated by deep sequencing of single cell (all) and bulk RNA libraries (wild type only), in duplicate (bulk & wild-type single cell) and singlicate (shr-3), using Illumina NextSeq. The sequence reads that passed quality filters were analyzed at the transcript level. Single Cell libraries were processed and analysed using Cell Ranger, STAR, Seurat. Bulk libraries were processed using Trimmomatic, STAR, HTSeq and DEseq2. Results: For Single Cell - Using an optimized data analysis workflow, we mapped ~87k sequence reads per wild-type cell to the Arabidopsis genome (TAIR10) and identified a median of 4,276 genes and 14,758 transcripts per cell. In total, transcripts for 16,975 genes were detected (RPM ≥1) from wild-type cells. After correction for read depth, this represents ~90% of genes detected by bulk RNA-seq of protoplasted root tissue. Bulk RNA-seq data identified genes induced by protplasting of the Arabidopsis root which could be discounted from single cell analysis. The global gene expression profiles of pooled scRNA-seq and bulk RNA-seq are highly correlated (r = 0.9) indicating that plant scRNA-seq is highly sensitive. Conclusions: Our high-resolution single cell RNA sequencing atlas of the Arabidopsis root captures precise temporal information for all major cell types, revealing new regulators and defining features foreach. Developmental trajectories derived from pseudotime analysis depict a finely resolved cascade of developmental progressions between stem cell and final differentiation supported by mirroring waves of transcription factor expression.
2019-03-25 | GSE123818 | GEO
Project description:Plant adaptation to limited phosphate (Pi) availability comprises a wide range of strategies to conserve and remobilize internal Pi stores and to enhance Pi acquisition. Vigorous restructuring of root system architecture provides a developmental strategy for topsoil exploration and Pi scavenging. Changes in external Pi availability are locally sensed at the root tip and adjust root growth by modulating cell expansion and cell division. The functionally interacting Arabidopsis genes, LPR1/LPR2 and PDR2, are key components of root Pi sensing. A series of genome-wide studies revealed insight into transcriptional changes upon Pi starvation and provided a comprehensive overview of gene expression patterns in roots and photosynthetic tissues. In this study, we combined genome-wide transcriptome and proteome profiling in Pi-starved roots of wild-type, pdr2 and lpr1lpr2 seedlings. A comparative analysis of the datasets, combined with physiological and cell biological experiments, reveals a network regulating local root Fe uptake, storage and distribution upon Pi limitation. We further highlight expressional changes of several cell wall-modifying enzymes and provide evidence for a dynamic adjustment of the pectin network at sites of local Fe accumulation within the root meristem.
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