Project description:A gene expression map of Arabidopsis thaliana shoot apical meristem stem cell niche was generated by isolating the specific cell type using the cell sorting methods. We used ap1-1;cal1-1 mutant background to enrich the sufficient number of cells for microarray analysis. Spatial and temporal regulation of gene expression is critical for stem-cell homeostasis. The shoot apical meristems of Arabidopsis thaliana harbor a small set of stem-cells which are surrounded by several million differentiating cells, imposing a severe limitation on the genomic analyses of stem-cell homeostasis. We have employed cell type-specific gene expression profiling that allowed us to generate a high-resolution gene expression map and it has revealed gene expression networks specific to the cell types of the stem-cell niche. We demonstrate that the expression map can be used to predict in vivo gene expression domains to identify novel gene expression patterns. Furthermore, it has revealed molecular pathways that are conserved among plant and animal stem-cell populations. The expression map should guide future reverse genetics experiments, high-resolution analyses of cell-cell communication networks and epigenetic modifications. Keywords: cell type comparison
Project description:Shoot apical meristem (SAM) of higher plant composed of a few distinct cell types. All the cells in a mature plant’s SAM derived from 30~35 stem cells reservoir which are located at the tip of the apex. Plants ability to give rise diverse cell types from a pool of pluripotent stem cells requires orchestrated gene network that controls the cell fate commitment during the meristem development. To understand, how gene regulatory networks control cell identities switches during cell differentiation requires resolution in recording their gene expression pattern at single cell resolution. An earlier expression map involving three-cell population of stem cell niche revealed complex expression pattern among the cell types1. We developed this approach further and report here a gene expression map using cell-sorting methods for fluorescent protein marked cells in Arabidopsis shoot. The map covered 10 cell populations. This gene expression map represents data from 10 different cell types from Arabidopsis SAM. It will be first step in defining the function of many unknown genes in model plant Arabidopsis.
Project description:A gene expression map of Arabidopsis thaliana shoot apical meristem stem cell niche was generated by isolating the specific cell type using the cell sorting methods. We used ap1-1;cal1-1 mutant background to enrich the sufficient number of cells for microarray analysis. Spatial and temporal regulation of gene expression is critical for stem-cell homeostasis. The shoot apical meristems of Arabidopsis thaliana harbor a small set of stem-cells which are surrounded by several million differentiating cells, imposing a severe limitation on the genomic analyses of stem-cell homeostasis. We have employed cell type-specific gene expression profiling that allowed us to generate a high-resolution gene expression map and it has revealed gene expression networks specific to the cell types of the stem-cell niche. We demonstrate that the expression map can be used to predict in vivo gene expression domains to identify novel gene expression patterns. Furthermore, it has revealed molecular pathways that are conserved among plant and animal stem-cell populations. The expression map should guide future reverse genetics experiments, high-resolution analyses of cell-cell communication networks and epigenetic modifications. Experiment Overall Design: Three replicates were used CLV3p, CLV3n and FILp, while for WUSp only two replicates were used. CLV3n cells lacks CLV3p cell type.
Project description:Shoot apical meristem (SAM) of higher plant composed of a few distinct cell types. All the cells in a mature plant’s SAM derived from 30~35 stem cells reservoir which are located at the tip of the apex. Plants ability to give rise diverse cell types from a pool of pluripotent stem cells requires orchestrated gene network that controls the cell fate commitment during the meristem development. To understand, how gene regulatory networks control cell identities switches during cell differentiation requires resolution in recording their gene expression pattern at single cell resolution. An earlier expression map involving three-cell population of stem cell niche revealed complex expression pattern among the cell types1. We developed this approach further and report here a gene expression map using cell-sorting methods for fluorescent protein marked cells in Arabidopsis shoot. The map covered 10 cell populations. This gene expression map represents data from 10 different cell types from Arabidopsis SAM. It will be first step in defining the function of many unknown genes in model plant Arabidopsis. Based on the in situ hybridization we identified 7 new cell types specific gene expression patterns. The promoters of these genes were used to generate fluorescent reporters. After treating the SAM with protoplasting cocktail, we sorted the fluorescent protein tagged cells using fluorescent activated cell sorter (FACS). The purified cell population was used to isolate RNA. Two round of RNA amplification was performed before microarray hybridization.
Project description:How bacteria from the microbiota modulate the physiology of its host is an important question to address. Previous work revealed that the metabolic status of Arabidopsis thaliana was crucial for the specific recruitment of Streptomycetaceae into the microbiota. Here, the Arabidopsis-Actinacidiphila interaction was further depicted by inoculating axenic Arabidopsis with Actinacidiphila cocklensis DSM 42063 or Actinacidiphila bryophytorum DSM 42138(previously named Streptomyces cocklensis and Streptomyces bryophytorum). We demonstrated that these two bacteria colonize A. thaliana wild-type plants, but their colonization efficiency was reduced in a chs5 mutant with defect in isoprenoid, phenylpropanoids and lipids synthesis. We observed that those bacteria affect the growth of the chs5 mutant but not of the wild-type plants. Using a mass spectrometry-based proteomic approach, we showed a modulation of the Arabidopsis proteome and in particular its components involved in photosynthesis or phytohormone homeostasis or perception by A. cocklensis and A. bryophytorum. This study unveils specific aspects of the Actinacidiphila-Arabidopsis interaction, which implies molecular processes impaired in the chs5 mutant and otherwise at play in the wild-type. More generally, this study highlights complex and distinct molecular interactions between Arabidopsis thaliana and bacteria belonging to the Actinacidiphila genus.
Project description:The aim of this project is to deeply map the proteome of mitochondria from the model plant Arabidopsis thaliana. For this purpose, mitochondria were isolated from Arabidopsis cell cultures, their proteins extracted and processed using SP3 digestion. To achieve high sequence coverage, the proteins were digested with a total of six different proteases and measured using sensitive timsTOF Pro hardware and TIMS fractionation.
Project description:deOliveiraDalMolin2010 - Genome-scale
metabolic network of Arabidopsis thaliana (AraGEM)
This model is described in the article:
AraGEM, a genome-scale
reconstruction of the primary metabolic network in
Arabidopsis.
de Oliveira Dal'Molin CG, Quek LE,
Palfreyman RW, Brumbley SM, Nielsen LK.
Plant Physiol. 2010 Feb; 152(2):
579-589
Abstract:
Genome-scale metabolic network models have been successfully
used to describe metabolism in a variety of microbial organisms
as well as specific mammalian cell types and organelles. This
systems-based framework enables the exploration of global
phenotypic effects of gene knockouts, gene insertion, and
up-regulation of gene expression. We have developed a
genome-scale metabolic network model (AraGEM) covering primary
metabolism for a compartmentalized plant cell based on the
Arabidopsis (Arabidopsis thaliana) genome. AraGEM is a
comprehensive literature-based, genome-scale metabolic
reconstruction that accounts for the functions of 1,419 unique
open reading frames, 1,748 metabolites, 5,253 gene-enzyme
reaction-association entries, and 1,567 unique reactions
compartmentalized into the cytoplasm, mitochondrion, plastid,
peroxisome, and vacuole. The curation process identified 75
essential reactions with respective enzyme associations not
assigned to any particular gene in the Kyoto Encyclopedia of
Genes and Genomes or AraCyc. With the addition of these
reactions, AraGEM describes a functional primary metabolism of
Arabidopsis. The reconstructed network was transformed into an
in silico metabolic flux model of plant metabolism and
validated through the simulation of plant metabolic functions
inferred from the literature. Using efficient resource
utilization as the optimality criterion, AraGEM predicted the
classical photorespiratory cycle as well as known key
differences between redox metabolism in photosynthetic and
nonphotosynthetic plant cells. AraGEM is a viable framework for
in silico functional analysis and can be used to derive new,
nontrivial hypotheses for exploring plant metabolism.
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