Transcription profiling of wheat cultivars after cold treatment
Ontology highlight
ABSTRACT:
ORGANISM(S): Triticum aestivum
SUBMITTER: Mark Owen Winfield
PROVIDER: E-GEOD-11774 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:In this study we used the Affymetrix Barley 1 GeneChip to investigate transcriptome responses of barley cv. Morex to low temperature, including triplicated measurements of cold, freeze/thaw cycles and de-acclimation over 33 days. Experiment Overall Design: Plants were grown at 20ºC for seven days and subject to a symmetrical cycle of acclimation, cold, freeze-thaw, and deacclimation. Chilling began by decreasing the temperature overnight from 20ºC to 4ºC at a rate of 1.3ºCâ¢h-1 and maintaining temperatures of 4 ºC in the day and 2ºC at night for 5 days. Freeze-thaw cycling lasted 12 days with day temperatures of 4ºC and night temperatures gradually decreasing from -2ºC the first night to -4ºC for three nights and -10ºC for four nights, then recovering to -4ºC for three nights and -2ºC for one night. This treatment was designed to allow daily freeze-thaw cycling and protein synthesis. Chilling conditions (4ºC day, 2ºC night) were resumed for five days, followed by deacclimation with increasing temperature to 20ºC overnight and maintaining for three days. Sampling was done at four different times, each at the 11th hour of light to avoid circadian effects: 1) before chilling treatment, 2) five days after initiation of chilling treatment, 3) eight days into freeze-thaw treatment and 4) three days into de-acclimation.
2008-06-15 | E-GEOD-6993 | biostudies-arrayexpress
Project description:To identify genes associated with lung cancer progression, we examined gene expression profiles of tumor cells from 20 patients with primary, untreated non-small cell lung cancer (10 adenocarcinomas (AC) and 10 squamous cell carcinomas (SCC)) in comparison to lung tissue of 23 patients with stage IIIB or stage IV non-small cell lung cancer (15 AC and 8 SCC). Bronchoscopical biopsies from patient with recurrent lung tumor were taken after initial treatment. Cancer cells were isolated using laser capture microdissection in order to obtain pure samples of tumor cells. For expression analysis, microarrays covering 8793 defined genes (Human HG Focus Array, Affymetrix) were used. Array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM), respectively. Genes were considered to be up- or down-regulated when the ratio between primary and recurrent tumor samples were at least 1.5-fold differentially expressed with an estimated false discovery rate: < 5%. Based on differentially expressed genes, primary cancer samples could be separated from recurrent tumor samples. We identified 115 and 124 significantly regulates genes in AC and SCC, respectively. For example, in recurrent AC we found increased expression of genes related to the wingless (FZD6, RYK, MYC) and calcium (CALM1, ATB2B1, S100A2) signalling pathways which might play a role in metastasis of tumor cells. Other differentially expressed genes were related to cell cycle (CCND1, CDK2), transcription factors (TTF1, TAF2, YY1), nuclear mRNA splicing and mRNA processing (SFRS1, HNRPL), protein-nucleus import (NUTF2, KPNB1, NUP50) and chromatin modification (HIST1H4C, SMARCC1). In SCC, we found an increased expression of CTNNB1, an important mediator in wingless signalling pathway. Among the down-regulated genes in SCC, the utmost fraction belonged to genes coding for ubiquitin mediated proteolysis (UCHL1, PSMA3, COPS6) and ribosomal proteins (RPS26, RPL7A, RPS15). Other down regulated genes were related to transcription factors (TCEA2, TAF10), nuclear mRNA splicing and mRNA processing (SNRPD2, HNRPM). In conclusion, a distinct pattern of gene expression is found during the progression from primary carcinoma to recurrent NSCLC. Our microarray-based expression profiling revealed interesting novel candidate genes and pathways that may contribute to lung cancer progression. Experiment Overall Design: - 20 patients with primary, untreated non-small cell lung cancer (10adenocarcinomas (AC) and 10 squamous cell carcinomas (SCC)) in comparison to lung tissue of 23 patients with stage IIIB or stage IV non-small cell lung cancer (15 AC and 8 SCC) Experiment Overall Design: - Human HG Focus Array, Affymetrix) were used Experiment Overall Design: - Array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM) Experiment Overall Design: - Genes were considered to be up- or down-regulated when the ratio between primary and recurrent tumor samples were at least 1.5-fold differentially expressed with an estimated false discovery rate: < 5%
2008-06-15 | E-GEOD-7880 | biostudies-arrayexpress
Project description:Lung cancers are a heterogeneous group of diseases with respect to biology and clinical behavior. So far, diagnosis and classification are based on histological morphology and immunohistological methods for discrimination between two main histologic groups: small cell lung cancer (SCLC) and non-small cell lung cancer which account for 20% and 80% of lung carcinomas, respectively. While SCLCs express properties of neuroendocrine cells, NSCLCs, which are divided into the three major subtypes adenocarcinoma, squamous cell carcinoma and dedifferentiated large cell carcinoma, show different characteristics such as the expression of certain keratins or production of mucin and lack neuroedocrine differentiation. The molecular pathogenesis of lung cancer involves the accumulation of genetic und epigenetic alterations including the activation of proto-oncogenes and inactivation of tumor suppressor genes which are different for lung cancer subgroups. The development of microarray technologies opened up the possibility to quantify the expression of a large number of genes simultaneously in a given sample. There are several recent reports on expression profiling on lung cancers but the analysis interpretation of the results might be difficult because of the heterogeneity of cellular components. A contamination of the tumor sample with normal epithelia, blood vessels, stromal cells, leucocytes and tumor necrosis may confound the true expression profile of the tumor. The use of laser capture microdissection (LCM) greatly improves the sample preparation for microarray expression analysis. Consequently, we used advanced technology including LCM and microarray analysis. In detail, we examined gene expression profiles of tumor cells from 29 previously untreated patients with lung cancer (10 adenocarcinomas (AC), 10 squamous cell carcinomas (SCC), 9 small cell lung cancer (SCLC)) in comparison to normal lung tissue (LT) of 5 control patients without tumor. Bronchoscopical biopsies from the primary lung tumor were taken before treatment. Biopsies were cut into 8µm sections and from each section cancer cells were isolated using laser capture microdissection in order to obtain pure samples of tumor cells. Total RNA was extracted, reversely transcribed, in-vitro transcribed, labelled and hybridized to the array. For expression analysis, microarrays covering 8793 defined genes (Human HG Focus Array, Affymetrix) were used. Following quality control, array data were normalized and analysed for significant differences using variance stabilizing transformation (VSN) and significance analysis of microarrays (SAM), respectively. Based on differentially expressed genes cancer samples could be clearly separated from non cancer samples using hierarchical clustering. Comparing AC, SCC and SCLC with normal lung tissue, we found 205, 335 and 404 genes, respectively, that were at least 2-fold differentially expressed with an estimated false discovery rate < 2.6%. Each histological subtype showed a distinct expression profile. Further, using a genetic programming approach we constructed a classificator to discriminate AC, SCC, NT and SCLC. To this end, the 50 genes with the greatest signal-to-noise ratio were selected to train the classificator. By leave-one-out cross validation all 34 samples were correctly classified in this training set. In order to validate the 50-gene-classificator on a test set, further 13 microdissected lung cancer samples were used and correctly classified in concordance to pathologic finding. In conclusion, the different lung cancer subtypes have distinct molecular phenotypes which reflect biological characteristics of the tumor cells and which might be the basis for development of targeted therapy. Moreover, gene expression profiling and genetic programming is a suitable tool for classification and discrimination of different histological subtypes in lung cancer in comparison to normal lung tissue. Experiment Overall Design: Comparison of gene expression profiles of normal lung tissues, adenocarcinomas, squamous cell carcinomas and small cell lung cancers.
2008-06-14 | E-GEOD-6044 | biostudies-arrayexpress
Project description:In this study, we used GC-MS analysis in combination with flux analysis and the Affymetrix ATH1 GeneChip to survey the metabolome and transcriptome of Arabidopsis leaves in response to manipulation of the thiol-disulfide status. Feeding low concentrations of the sulfhydryl reagent dithiothreitol (DTT) for one hour at the end of the dark period led to post-translational redox-activation of ADP-glucose pyrophosphorylase and major alterations in leaf carbon partitioning, including an increased flux into major respiratory pathways, starch- cell-wall-, and amino-acid synthesis and a reduced flux to sucrose. This was accompanied by a decrease in the levels of hexose-phosphates, while metabolites in the second half of the TCA cycle and various amino acids increased, indicating a stimulation of anaplerotic fluxes reliant on α-ketoglutarate. There was also an increase in shikimate as a precursor of secondary plant products and marked changes in the levels of the minor sugars involved in ascorbate synthesis and cell wall metabolism. Transcript profiling revealed a relatively small number of changes in the levels of transcripts coding for components of redox-regulation, transport processes and cell wall, protein and amino acid metabolism, while there were no major alterations in transcript levels coding for enzymes involved in central metabolic pathways. These results provide a global picture of the effect of redox and reveal the utility of transcript and metabolite profiling as systemic strategies to uncover the occurrence of redox-modulation in vivo. Experiment Overall Design: Leaf discs were incubated with or without 5mM DTT for one hour to affect the redox status of the cells. The effect of this treatment on global gene expression was analysed using affymetrix ATH1 microarrays. The experiments contains one control (-DTT) and one treatment (+DTT) and is performed with 2 biological replicas.
2008-06-12 | E-GEOD-4021 | biostudies-arrayexpress
Project description:Cotton premature leaf senescence often occurred with an increasing frequency in many cotton growing areas and caused serious reduction in yield and quality of cotton has been one of the impontant factors that restrict severely the production of cotton.Our laboratory studies showed chilling stress is the key factor that induced A. alternatia infection, caused Alternaria disease and then lead to cotton leaf senescence, but the molecular mechanism of cotton premature leaf senscence is still unclear. We used microarrays to study molecular mechanism of chilling stress causing Alternaria alternata infection and leading to cotton leaf senescence and find the key genes during this process. Plants were grown in growth chamber with a 14/10 hours photoperiod, 28â/22â. Three-to-four leaves stage cotton plants were pre-treated by chilling stress with the low temperatures of 16/12â day/night for a fixed time length of 3 days. While, the normal growth plants were sustained growing at optimal temperature of 28/20â day/night. And then, both chilling stress pre-treated and normal growth cotton plants were inoculated with Alternaria. alternata isolate A1. The mock inoculations were performed with sterilized water. Cotton leaf Samples were respectively collected at 3, 6 days after inoculation (DAI) for RNA extraction and hybridization on Affymetrix microarrays. To that end, we collected 8 samples, i.e. chilling stress pre-treated cotton leaves: 3 DAI (C) and its mock control (D), 6 DAI (E) and its mock control (F); normal growth cotton leaves: 3 DAI (H) and its mock control (I), 6 DAI (J) and its mock control (K). All samples were arranged in completely randomized designed with three replications for each treatment.
2015-10-28 | E-GEOD-74412 | biostudies-arrayexpress
Project description:The effect of sucrose feeding on gene expression in Arabidopsis thaliana leaves was investigated using affymetrix ATH1 microarrays. For this, petioles of detached leaves were put in a solution containing either sucrose or sorbitol (control). Sugars were taken up into the leaf via the respiration stream for 13 hours. After that, leaves were frozen in liquid nitrogen and RNA was extracted for analysis. Experiment Overall Design: The effect of sucrose feeding on gene expression was investigated using affymetrix ATH1 microarrays. For this, petioles of detached leaves were put in a solution containing either sucrose or sorbitol (control). Sugars were taken up into the leaf via the respiration stream for 13 hours. After that, leaves were frozen in liquid nitrogen and RNA was extracted for analysis.
2008-06-12 | E-GEOD-4022 | biostudies-arrayexpress
Project description:What proteins exist in the epidermis layer and how they compare to the proteins in the surrounding mesophyll cells represents a major knowledge gap for how CAM plants thrive in environments with high temperatures and long periods of severe water deficit. Therefore, we performed large-scale proteomics to characterize proteins in epidermis and mesophyll cells from leaves of the constitutive CAM plant Kalanchoë fedtschenkoi.
2020-04-02 | PXD010837 | Pride
Project description:In this study, we used transcriptomic and hormonomic approaches to examine drought-induced changes in barley roots and leaves and its rhizosphere. By studying hormonal responses, alternative splicing events in barley, and changes in the rhizosphere microbiome, we aimed to provide a comprehensive view of barley drought-adaptive mechanisms and potential plant-microbe interactions under drought stress. This approach improved our understanding of barley adaptive strategies and highlighted the importance of considering plant-microbe interactions in the context of climate change.
2024-10-31 | E-MTAB-14320 | biostudies-arrayexpress
Project description:Background The combination of high-throughput transcript profiling and next-generation sequencing technologies is a prerequisite for genome-wide comprehensive transcriptome analysis. Our recent innovation of deepSuperSAGE is based on an advanced SuperSAGE protocol and its combination with massively parallel pyrosequencing on RocheM-bM-^@M-^Ys 454 sequencing platform. As a demonstration of the power of this combination, we have chosen the salt stress transcriptomes of roots and nodules of the third most important legume crop chickpea (Cicer arietinum L.). While our report is more technology-oriented, it nevertheless addresses a major world-wide problem for crops generally: high salinity. Together with low temperatures and water stress, high salinity is responsible for crop losses of millions of tons of various legume (and other) crops. Continuously deteriorating environmental conditions will combine with salinity stress to further compromise crop yields. As a good example for such stress-exposed crop plants, we started to characterize salt stress responses of chickpeas on the transcriptome level. Results We used deepSuperSAGE to detect early global transcriptome changes in salt-stressed chickpea. The salt stress responses of 86,919 transcripts representing 17,918 unique 26bp deepSuperSAGE tags (UniTags) from roots of the salt-tolerant variety INRAT-93 two hours after treatment with 25 mM NaCl were characterized. Additionally, the expression of 57,281 transcripts representing 13,115 UniTags was monitored in nodules of the same plants. From a total of 144,200 analyzed 26bp tags in roots and nodules together, 21,401 unique transcripts were identified. Of these, only 363 and 106 specific transcripts, respectively, were commonly up- or down-regulated (>3.0-fold) under salt stress in both organs, witnessing a differential organ-specific response to stress. Profiting from recent pioneer works on massive cDNA sequencing in chickpea, more than 9,400 UniTags were able to be linked to UniProt entries. Additionally, gene ontology (GO) categories over-representation analysis enabled to filter out enriched biological processes among the differentially expressed UniTags. Subsequently, the gathered information was further cross-checked with stress-related pathways. From several filtered pathways, here we focus exemplarily on transcripts associated with the generation and scavenging of reactive oxygen species (ROS), as well as on transcripts involved in Na+ homeostasis. Although both processes are already very well characterized in other plants, the information generated in the present work is of high value. Information on expression profiles and sequence similarity for several hundreds of transcripts of potential interest is now available. Conclusions This report demonstrates, that the combination of the high-throughput transcriptome profiling technology SuperSAGE with one of the next-generation sequencing platforms allows deep insights into the first molecular reactions of a plant exposed to salinity. Cross validation with recent reports enriched the information about the salt stress dynamics of more than 9,000 chickpea ESTs, and enlarged their pool of alternative transcripts isoforms. As an example for the high resolution of the employed technology that we coin deepSuperSAGE, we demonstrate that ROS-scavenging and -generating pathways undergo strong global transcriptome changes in chickpea roots and nodules already 2 hours after onset of moderate salt stress (25mM NaCl). Additionally, a set of more than 15 candidate transcripts are proposed to be potential components of the salt overly sensitive (SOS) pathway in chickpea. Newly identified transcript isoforms are potential targets for breeding novel cultivars with high salinity tolerance. We demonstrate that these targets can be integrated into breeding schemes by micro-arrays and RT-PCR assays downstream of the generation of 26bp tags by SuperSAGE. SuperSAGE libraries from chickpea roots and nodules were constructed starting from hydro aeroponics-generated material. Control and stressed plants were grown in parallel Sequencing Instrument: First gerenration 454-Machine Place of sequencing: 454 Life Sciences, Branford, CT, USA
2011-02-01 | E-GEOD-26638 | biostudies-arrayexpress
Project description:Leafy spurge (Euphorbia esula) is an herbaceous perennial weed that produces vegetatively from an abundance of underground adventitious buds. The objectives of this study were to determine how mimicking natural seasonal conditions (photoperiod and temperature) under controlled environmental conditions affect dormancy and flowering competence; to determine molecular mechanisms associated with well-defined phases of seasonal dormancy transitions based on transcript profiles obtained by microarray analysis; and to link mechanisms regulating induction and release of endodormancy and flowering competence. Reduction in temperature (27 to 10°C) and photoperiod (16 to 8 h) over a three-month period induced a para- to endo-dormant transition in crown buds. An additional eleven weeks of prolonged cold (5-7°C) and short-photoperiod treatment resulted in accelerated shoot growth from crown buds, and 99% floral competence when plants were returned to growth promoting conditions. Exposure of paradormant plants to short-photoperiod and prolonged cold treatment alone had minimal affect growth potential or on flowering (~1%); whereas endodormant crown buds without prolonged cold treatment, had delayed shoot growth and approximately 2% flowering when returned to growth promoting conditions. Transcriptome analyses revealed that 373 and 260 genes were differentially expressed (p<0.005) during para- to endo-dormant and endo- to eco-dormant transitions, respectively. Transcripts from flower competent vs. non-flower competent crown buds identified 607 differentially expressed genes, and genes involved in cell cycle and DNA processing, oxidative stress, flower regulation, and proteolysis were over-represented. Further, sub-network analysis identified expression targets and binding partners associated with circadian clock, dehydration/cold signaling, phosphorylation cascades, and response to abscisic acid, ethylene, gibberellic acid, and jasmonic acid, suggesting these central regulators affect well-defined phases of dormancy. Potential genetic pathways associated with these dormancy transitions and flowering were used to develop a proposed conceptual model. Leafy spurge is an herbaceous perennial weed that undergoes vegetative reproduction from an abundance of underground adventitious buds which exhibit phases of para-, endo-, and eco-dormancy (defined by Lang et al. 1987) during summer, fall, and winter, respectively (Anderson et al. 2005). In this study a population of leafy spurge plants were propagated through random cuttings from the genetically uniform biotype 1984-ND001. Paradormant crown buds from three-month old greenhouse plants were collected after one week of acclimation under growth chamber conditions. Induction of endodormancy in crown buds was accomplished by subjecting greenhouse grown and growth chamber acclimated plants to a ramp down (RD) treatment consisting of a reduction in temperature of 1.42°C week-1 (27°C â 10°C) and a decreasing photoperiod of 40 min week-1 (16h â 8h light) for 12 weeks as previously established by Foley et al. (2009). These conditions mimic the average seasonal environmental conditions experienced in Fargo, ND (46°54â² N, 96°48â² W) during the transition from para- to endo-dormancy (Anderson et al. 2005). To induce a transition of crown buds from endo- to eco-dormancy, plants subjected to the RD treatment were given prolonged cold treatment for 11 weeks at 5-7°C, under constant 8 h:16 h day:night cycle; light fluencies were approximately 250 μmol m-2 s-1. To compare the effects of the prolonged cold with or without RD treatment on dormancy status and flowering competence in crown buds, greenhouse-grown and growth chamber acclimated plants were subjected directly to an extended cold treatment for 11 weeks at 5-7°C, as previously described, without a RD treatment. For microarray hybridizations, labeled cDNAs were prepared from 30 µg of total RNA using the Alexa Fluor cDNA labeling kit (Invitrogen, Carlsbad, CA, USA) according to manufacturer's protocols. Labeled cDNAs were hybridized to a custom made 23K element microarray that contained 19,808 unigenes from a leafy spurge EST database (Anderson et al. 2007) and an additional 4,129 unigenes from a cassava EST database (Lokko et al. 2007). Comparison of gene expression between samples was accomplished using a rolling circle dye swap hybridization scheme (Churchill 2002) to provide every biological replicate with technical replicates. In our microarray analyses experiment, each of the four biological replicates included four technical replicates using two different dyes, resulting in a total of 16 technical replicates for each treatment. Microarray hybridization was visualized using a GenePix 4000B scanner and probe intensities and background were quantified using GenePix 6.0 software (Molecular Devices, Sunnyvale, California, USA). A quality control value of â1â was assigned to all probes that had intensity values greater than 2 times the standard deviation over average of the negative control and empty probe intensities (after deletion of 1% of the most intense negative/empty probe values). Hybridization intensities were log2 transformed, and arrays were centered and normalized against each other.
2010-05-19 | E-GEOD-19217 | biostudies-arrayexpress