Dataset Information

RNA-Seq of single cells from the Arabidopsis root

ABSTRACT: The definition of cell identity is a central problem in biology. Single-cell RNA-seq provides a wealth of information regarding the developmental state of individual cells. However, better methods are needed to map the identity of single cells, especially during identity transitions. We have developed a quantitative classification method that is robust to expression noise and can detect primary and chimeric identities from single-cell RNA sequencing profiles. The method uses existing transcriptome repositories of grouped cell-types to define a set of optimal cell-identity markers, which are then used to define a cell identity metric. This metric accurately classified diverse cell identities in Arabidopsis root tips and human glioblastoma cells. We demonstrate the strength of the approach to resolve a dynamic developmental process by analyzing the identity of single cells captured from regenerating Arabidopsis roots following removal of their stem-cell-niche. We discover that, apart from new niche formation at the vicinity of the cut site, cells that are distant from the injury site also undergo a transient, partial collapse of identity during the regeneration and reorganization of the root, demonstrating the usefulness of a quantitative cell identity metric.

ORGANISM(S): Arabidopsis thaliana

PROVIDER: GSE46226 | GEO | 2014/12/30

SECONDARY ACCESSION(S): PRJNA198192

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:This model is from the article: The influence of cytokinin-auxin cross-regulation on cell-fate determination in Arabidopsis thaliana root development Muraro D, Byrne H, King J, Voss U, Kieber J, Bennett M. J Theor Biol.2011 Aug 21;283(1):152-67. PMID: 21640126, Abstract: Root growth and development in Arabidopsis thaliana are sustained by a specialised zone termed the meristem, which contains a population of dividing and differentiating cells that are functionally analogous to a stem cell niche in animals. The hormones auxin and cytokinin control meristem size antagonistically. Local accumulation of auxin promotes cell division and the initiation of a lateral root primordium. By contrast, high cytokinin concentrations disrupt the regular pattern of divisions that characterises lateral root development, and promote differentiation. The way in which the hormones interact is controlled by a genetic regulatory network. In this paper, we propose a deterministic mathematical model to describe this network and present model simulations that reproduce the experimentally observed effects of cytokinin on the expression of auxin regulated genes. We show how auxin response genes and auxin efflux transporters may be affected by the presence of cytokinin. We also analyse and compare the responses of the hormones auxin and cytokinin to changes in their supply with the responses obtained by genetic mutations of SHY2, which encodes a protein that plays a key role in balancing cytokinin and auxin regulation of meristem size. We show that although shy2 mutations can qualitatively reproduce the effect of varying auxin and cytokinin supply on their response genes, some elements of the network respond differently to changes in hormonal supply and to genetic mutations, implying a different, general response of the network. We conclude that an analysis based on the ratio between these two hormones may be misleading and that a mathematical model can serve as a useful tool for stimulate further experimental work by predicting the response of the network to changes in hormone levels and to other genetic mutations.

Dataset Information

RNA-Seq of single cells from the Arabidopsis root

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure