Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1091825 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Iron chlorosis is one of the major abiotic stresses affecting fruit trees and other crops in calcareous soils. The most evident symptoms are connected to a reduction in growth and yield and in the interveinal chlorosis of leaves. A custom CombiMatrix 90K microarray was used to identify candidate genes involved in the citrus response to iron deficiency stress, comparing Tarocco Scirè orange [Citrus sinensis (L.) Osbeck] grafted on two different rootstocks, Swingle citrumelo (C. paradisi × Poncirus trifoliata), high sensitive, and Carrizo citrange (C. sinensis × P. trifoliata), tolerant. RNA was extracted from roots of plants grown in two different soils, one volcanic (0% of active lime) used as control, and the other calcareous (10% of active lime).
2015-06-03 | GSE38667 | GEO
Project description:Gene expression profiles were generated from 199 primary breast cancer patients. Samples 1-176 were used in another study, GEO Series GSE22820, and form the training data set in this study. Sample numbers 200-222 form a validation set. This data is used to model a machine learning classifier for Estrogen Receptor Status. RNA was isolated from 199 primary breast cancer patients. A machine learning classifier was built to predict ER status using only three gene features.
2013-01-01 | E-GEOD-29210 | biostudies-arrayexpress
Project description:Aim; To identify genes which are differentially expressed between calcicoles and non- calcicoles. Background; Grasslands on the calcareous soils of chalk and other limestones are among the most species-rich plant communities in Europe (Rodwell 1991 et seq.). They have experienced huge losses and remain vulnerable to such impacts as neglect of traditional management, agricultural improvement and global changes in climate, nitrogen depositions and ozone levels. Our understanding of the physiological characteristics of calcicoles and calcifuges remains limited. A detailed understanding of the genetic basis of the mechanisms that enable calcicoles to thrive on calcareous soils is essential to enable us to predict how these plant communities and their constituent species will be affected by environmental change and how the biodiversity of these ecosystems can be sustained.At Lancaster we have been studying calcicole-calcifuge physiology, with particular reference to Ca2+-tolerance, for over fifteen years. Recently, our research has focused on the regulation of apoplastic Ca2+ in Arabidospsis thaliana. We have compared the response of two ecotypes of A. thaliana, the non-calcicole ecotype Columbia (Col-4) and the calcicole ecotype Cal-0, which is a genetically uniform line from an original population collected by Ratcliffe from a rocky limestone slope in 1954, to rhizospheric Ca2+. Our results show that Cal-0, exhibits a markedly higher tolerance to growth on high rhizospheric Ca2+ compared to Col-4.Our hypothesis is that adaptation to a calcareous environment will be reflected in altered gene expression. To test this hypothesis we will grow Col-4 and Cal-0 at low (1 mM) and high (12.5 mM) rhizospheric Ca2+ and compare the patterns of gene expression by microarray analysis. In the first instance, to eliminate any differences in gene expression between the Cal-0 and Col-4 ecotypes, we will compare RNA that will be extracted using the Qiagen RNEasy kits, from plants grown at 16 hour day lengths and will be harvested after 30 days of growth on sand watered with 0.5 X Long Ashton solution containing 1 mM CaCl2. Experimenter name = Bev Abram; Experimenter phone = 01524 65201ext93524; Experimenter fax = 01524 843854; Experimenter address = Biological Sciences; Experimenter address = Lancaster University; Experimenter address = Bailrigg; Experimenter address = Lancaster; Experimenter zip/postal_code = LA1 4YQ; Experimenter country = UK Experiment Overall Design: 8 samples were used in this experiment
2008-06-14 | E-GEOD-5728 | biostudies-arrayexpress
Project description:Iron deficiency is a yield-limiting factor and a worldwide problem for crop production in many agricultural regions, particularly in aerobic and calcareous soils. Graminaceous species, like maize, improve Fe acquisition through the release of phytosiderophores (PS) into the rhizosphere and the following uptake of Fe(III)-PS complexes through specific transporters. Transcriptional profile obtained by roots 12-d-old maize plants under Fe starvation for 1 week (Fe-deficient; 19-d-old plants) were compared with the transcriptional profile obtained by roots of 12-d-old maize plants grown in a nutrient solution containing 100 μM Fe-EDTA for 1 week (Fe-sufficient; 19-d-old plants).
2017-06-12 | GSE76829 | GEO
Project description:Large-scale serum miRNomics in combination with machine learning could lead to the development of a blood-based cancer classification system.
2022-11-12 | GSE211692 | GEO
Project description:CD34+ Haematopoietic stem cells were differentiated ex vivo to generate ChIP-seq data for machine learning of rules underlying open chromatin dynamics.
2020-07-08 | GSE137982 | GEO