Dynamics of gene expression in single root cells of A. thaliana
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ABSTRACT:
ORGANISM(S): Arabidopsis thaliana
PROVIDER: GSE121619 | GEO | 2019/03/29
REPOSITORIES: GEO
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Project description:Background: Single-cell reconstruction of gene regulatory programs provides an important tool to understand the cellular phenotypic variation in complex tissues and their response to endogenous and environmental stimuli. While the single-cell transcriptomes of several plant organs have been elucidated, the underlying chromatin landscapes remain largely unknown. Results: To comprehensively delineate chromatin accessibility during root development of an important crop, we applied single-cell ATAC-seq to 46,758 cells from rice root tips under normal and heat stress conditions. Our data revealed cell-type-specific accessibility variance across most of the major cell types and allowed us to identify sets of transcription factors which associate with accessible chromatin regions (ACRs). Using root hair differentiation as a model, we demonstrate that chromatin dynamics and gene expression dynamics during cell type differentiation correlate in pseudotime analyses. In addition to developmental trajectories, we describe chromatin responses to heat, and identify cell type specific accessibility changes to this key environmental stimulus. Conclusions: Our work provides a framework for the integrative analysis of regulatory dynamics in an important plant organ at single-cell resolution.
2022-11-17 | GSE214131 | GEO
Project description:Background: Single-cell reconstruction of gene regulatory programs provides an important tool to understand the cellular phenotypic variation in complex tissues and their response to endogenous and environmental stimuli. While the single-cell transcriptomes of several plant organs have been elucidated, the underlying chromatin landscapes remain largely unknown. Results: To comprehensively delineate chromatin accessibility during root development of an important crop, we applied single-cell ATAC-seq to 46,758 cells from rice root tips under normal and heat stress conditions. Our data revealed cell-type-specific accessibility variance across most of the major cell types and allowed us to identify sets of transcription factors which associate with accessible chromatin regions (ACRs). Using root hair differentiation as a model, we demonstrate that chromatin dynamics and gene expression dynamics during cell type differentiation correlate in pseudotime analyses. In addition to developmental trajectories, we describe chromatin responses to heat, and identify cell type specific accessibility changes to this key environmental stimulus. Conclusions: Our work provides a framework for the integrative analysis of regulatory dynamics in an important plant organ at single-cell resolution.
2022-11-17 | GSE214130 | GEO
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.
2019-02-05 | GSE123013 | GEO
Project description:Transcriptional programs that regulate development are exquisitely controlled in space and time. Elucidating these programs that underlie development is essential to understanding the acquisition of cell and tissue identity. We present microarray expression profiles of a high resolution set of developmental time points within a single Arabidopsis root, and a comprehensive map of nearly all root cell-types. These cell-type specific transcriptional signatures often predict novel cellular functions. A computational pipeline identified dominant expression patterns that demonstrate transcriptional connections between disparate cell types. Dominant expression patterns along the rootâs longitudinal axis do not strictly correlate with previously defined developmental zones, and in many cases, expression fluctuation along this axis was observed. Both robust co-regulation of gene expression and potential phasing of gene expression were identified between individual roots. Methods that combine these two sets of profiles demonstrate transcriptionally rich and complex programs that define Arabidopsis root development in both space and time. We used microarrays to profile expression of nearly all cell types in the Arabidopsis root, and to profile at high resolution, developmental time points along the root's longitudinal axis. Experiment Overall Design: Microarray expression profiles of 8 new GFP marked lines with 2-3 replicates were used to augment existing microarray expression profiles of the root. RNA isolated from 13 cross sections along a single root's longitudinal axis were also profiled by microarray analysis. An independent root with 12 sections were used as a biological replicate.
2008-06-16 | E-GEOD-8934 | biostudies-arrayexpress
Project description:Chromatin modifications, such as cytosine methylation of DNA, play a significant role in mediating gene expression in plants, which affects growth, development, and cell differentiation. Since root hairs are single cell extensions of the root epidermis and the primary organs for water uptake and nutrients, we sought to use root hairs as a single cell model system to measure the impact of environmental stress. We measured changes in cytosine DNA methylation in single cell root hairs as compared to multi-cellular stripped roots, as well as in response to heat stress. Differentially methylated regions (DMRs) in each methylation context showed very distinct methylation patterns between cell types and in response to heat stress. Intriguingly, at normal temperature, root hairs were more hypermethylated as compared to stripped roots. However, in response to heat stress, both root hairs and stripped roots showed more hypomethylation in each context, especially in the mCHH context. Moreover, expression analysis of mRNA from similar tissues and treatments identified some associations between DMRs, genes and transposons. Taken together, the data indicate that changes of dynamic DNA methylation directly or indirectly is associated with expression of genes and transposons either within the context of specific tissues/cells or stress (heat).
2017-08-01 | GSE90142 | GEO
Project description:Increasing soil salinization has led to severe losses of plant yield and quality. Researching the formation of plant salt tolerance and the molecular mechanism of the salt stress response is therefore urgent. We here take advantage of recent progress in single-cell transcriptomics technology to systematically analyze plant roots response to salt stress, and 57,185 high-quality cells were totally obtained from 5-day-old lateral root tips of Gossypium arboreum under natural growth and different salt-treatment conditions. Eleven cell types with an array of novel marker genes were identified and confirmed with RNA in situ hybridization. Pseudotime analysis on epidermal and root hair cells indicated the differentiation trajectory, and differential root-type cells responding to salt stress resulted in more epidermal and less endodermal cells. Abundant differentially expressed genes (DEGs) were found to be engaged in glycometabolism, reactive oxygen species hemeostasis, and phosphatidylinositol and MAKP signal pathways through functional enrichment analyses. Some candidate DEGs related with transcription factors and plant hormones responding to salt stress were also screened, which requires further functional verification to reveal the regulatory model of the plant roots response to salt stress. Combined with bulk RNA-seq data, a common DEG (Ga08G2497) annotated as Aldo-keto reductase-1 (AKR1) was selected to perform virus-induced gene silencing verification, and the silencing of GaAKR1 gene in G. arboreum resulted in severe stress-susceptibility phenotype, shorter root length, and less number of lateral roots. Physiological and biochemical detection also demonstrated that GaAKR1-silenced plants suffered more serious oxidative damages and, indicating that GaAKR1 might participates in salt tolerance of cotton by oxidation-reduction process. For the first time, we characterized a transcriptional atlas of plant roots under salt stress at a single-cell resolution, which explored the cellular heterogeneity, differential root-type cells, and differentiation trajectory, while providing valuable insights into the molecular mechanism underlying stress tolerance in plants.
2023-05-15 | GSE226218 | GEO
Project description:We performed single-cell RNA seq on C57/BL6 mouse back skin at E13.5, E16.5, and P0 to study embryonic hair follicle development. We analyzed 15,086 single cell transcriptome profiles from E13.5, E16.5 and newborn mice (postnatal day 0, P0) dorsal skin cells across hair follicle induction, organogenesis, cytodifferentiation stage. Based on t-distributed Stochastic Neighbor Embedding (tSNE) clustering, we identified 14 cell clusters from skin cells and delineated their cell identity gene expression profile. By using Monocle pseudotime ordering analysis, we constructed epithelium/dermal cell lineage differentiation trajectory and revealed sequential activation of key regulons involved during embryonic hair follicle morphogenesis. Our findings here provide molecular landscape during hair follicle epithelium/dermal cell lineage fate decisions.
2020-07-01 | GSE131498 | GEO
Project description:The root system is a crucial determinant of plant growth potential because of its important functions, e.g., acquisition of water and nutrients, structural support, and interaction with symbiotic organisms. Elucidating the molecular mechanisms of root development and functions is therefore necessary for improving plant productivity, particularly for crop plants including rice. As an initial step towards developing a comprehensive understanding of the root system, we performed a large-scale transcriptome analysis of the rice root via a combined laser microdissection and microarray analysis approach. We performed comprehensive microarray analysis of a rice crown root using laser microdissection and collected a total of 13 samples (3 replicates for each sample except for one sample, 38 total microarray data) representing 8 different developmental stages along the longitudinal axis and 3 distinct tissue-types along the radial axis at 2 different developmental stages. The 8 developmental stages represent root cap, division zone, elongation zone and maturation zone_I, II, III, IV and V. The 3 tissue-types represent epidermis/exodermis/sclerenchyma, cortex, and endodermis/pericycle/stele. In the maturation zone_V, the cortex consisted largely of aerenchyma (non-living cells) and was not used for the microarray analysis.
2011-10-25 | E-GEOD-30136 | biostudies-arrayexpress
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:Transcriptional programs that regulate development are exquisitely controlled in space and time. Elucidating these programs that underlie development is essential to understanding the acquisition of cell and tissue identity. We present microarray expression profiles of a high resolution set of developmental time points within a single Arabidopsis root, and a comprehensive map of nearly all root cell-types. These cell-type specific transcriptional signatures often predict novel cellular functions. A computational pipeline identified dominant expression patterns that demonstrate transcriptional connections between disparate cell types. Dominant expression patterns along the root’s longitudinal axis do not strictly correlate with previously defined developmental zones, and in many cases, expression fluctuation along this axis was observed. Both robust co-regulation of gene expression and potential phasing of gene expression were identified between individual roots. Methods that combine these two sets of profiles demonstrate transcriptionally rich and complex programs that define Arabidopsis root development in both space and time. We used microarrays to profile expression of nearly all cell types in the Arabidopsis root, and to profile at high resolution, developmental time points along the root's longitudinal axis. Keywords: Cell-type specific analysis using FACS, and a developmental time course.
2007-11-05 | GSE8934 | GEO