Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from 5 day old Arabidopsis thaliana seedlings

ABSTRACT: Upon induction of DNA damage Arabidopsis thaliana plants initiate a transcriptional response program governed by signalling cascades which are activated by the ATM and ATR kinases To analyse if the ATM dependent gene GMI1 (At5G24280) is involved in the regulation of the transcriptionl response, we compared the gene expression profiles of wildtype and gmi1 deficient plants upon gamma-irradiation

ORGANISM(S): Arabidopsis thaliana

SUBMITTER: Gudrun Boehmdorfer

PROVIDER: E-GEOD-23892 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

GMI1, a structural-maintenance-of-chromosomes-hinge domain-containing protein, is involved in somatic homologous recombination in Arabidopsis.

Böhmdorfer Gudrun G Schleiffer Alexander A Brunmeir Reinhard R Ferscha Stefan S Nizhynska Viktoria V Kozák Jaroslav J Angelis Karel J KJ Kreil David P DP Schweizer Dieter D

The Plant journal : for cell and molecular biology 20110520 3

DNA double-strand breaks (DSBs) pose one of the most severe threats to genome integrity, potentially leading to cell death. After detection of a DSB, the DNA damage and repair response is initiated and the DSB is repaired by non-homologous end joining and/or homologous recombination. Many components of these processes are still unknown in Arabidopsis thaliana. In this work, we characterized γ-irradiation and mitomycin C induced 1 (GMI1), a member of the SMC-hinge domain-containing protein family ...[more]

PMID: 21481027

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Project description:Plants exhibit a robust transcriptional response to gamma radiation which includes the induction of transcripts required for homologous recombination and the suppression of transcripts that promote cell cycle progression. Various DNA damaging agents induce different spectra of DNA damage as well as M-bM-^@M-^\collateralM-bM-^@M-^] damage to other cellular components and therefore are not expected to provoke identical responses by the cell. Here we study the effects of two different types of ionizing radiation (IR) treatment, HZE (1 GeV Fe26+ high mass, high charge, and high energy relativistic particles) and gamma photons, on the transcriptome of Arabidopsis thaliana seedlings. Both types of IR induce small clusters of radicals that can result in the formation of double strand breaks (DSBs), but HZE also produces linear arrays of extremely clustered damage. We performed these experiments across a range of time points (1.5-24 h after irradiation) in both wild-type plants and in mutants defective in the DSB-sensing protein kinase ATM. The two types of IR exhibit a shared double strand break-repair-related damage response, although they differ slightly in the timing, degree, and ATM-dependence of the response. The ATM-dependent, DNA metabolism-related transcripts of the M-bM-^@M-^\DSB responseM-bM-^@M-^] were also induced by other DNA damaging agents, but were not induced by conventional stresses. Both Gamma and HZE irradiation induced, at 24 h post-irradiation, ATM-dependent transcripts associated with a variety of conventional stresses; these were overrepresented for pathogen response, rather than DNA metabolism. In contrast, only HZE-irradiated plants, at 1.5 h after irradiation, exhibited an additional and very extensive transcriptional response, shared with plants experiencing M-bM-^@M-^\extended night.M-bM-^@M-^] This response was not apparent in gamma-irradiated plants. We treated 5-day-old WT and atm-1 seedlings of Arabidopsis thaliana with 100 Gy of Gamma radiation (over a span of 15 minutes) or 30 Gy of HZE (over a span of approximately 12 minutes). Gamma irradiations were completed at 8:40 am, while HZE irradiations were conducted in two runs (due to space limitations) which were completed at 1:09 and 1:28pm respectively. Gamma treated seedlings were sampled at 10:10 am, 11:40 am, 2:55 pm, 8:40 pm, and 8:40 am. HZE treated seedlings were sampled at 2:39 pm, 4:09 pm, 7:24 pm, 1:09 am, and 1:09 pm. Un-irradiated WT and atm-1 control seedlings were sampled at 10:45 am on Day #1 and 9:15 am on Day #2. There are a total of 22 experimental or control conditions, with two replicates per condition, yielding 44 samples overall.

Project description:Endometriosis, an estrogen-dependent, progesterone-resistant, inflammatory disorder affects 10% of reproductive-age women. It is diagnosed and staged at surgery, resulting in an 11-year latency from symptom onset to diagnosis, underscoring the need for less invasive, less expensive approaches. Since the uterine lining (endometrium) in women with endometriosis has altered molecular profiles, we tested whether molecular classification of this tissue can distinguish and stage disease. We developed classifiers using genomic data from n=148 archived endometrial samples from women with endometriosis or without endometriosis (normal controls or with other common uterine/pelvic pathologies) across the menstrual cycle and evaluated their performance on independent sample sets. Classifiers were trained separately on samples in specific hormonal milieu, using margin tree classification, and accuracies were scored on independent validation samples. Classification of samples from women with endometriosis or no endometriosis involved two binary decisions each based on expression of specific genes. These first distinguished presence or absence of uterine/pelvic pathology and then no endometriosis from endometriosis, with the latter further classified according to severity (minimal/mild or moderate/severe). Best performing classifiers identified endometriosis with 90-100% accuracy, were cycle phase-specific or independent, and utilized relatively few genes to determine disease and severity. Differential gene expression and pathway analyses revealed immune activation, altered steroid and thyroid hormone signaling/metabolism and growth factor signaling in endometrium of women with endometriosis. Similar findings were observed with other disorders versus controls. Thus, classifier analysis of genomic data from endometrium can detect and stage pelvic endometriosis with high accuracy, dependent or independent of hormonal milieu. We propose that limited classifier candidate-genes are of high value in developing diagnostics and identifying therapeutic targets. Discovery of endometrial molecular differences in the presence of endometriosis and other uterine/pelvic pathologies raises the broader biological question of their impact on the steroid hormone response and normal functions of this tissue. We analyzed endometrial samples from n=148 women without or with endometriosis and/or other uterine/pelvic pathologies, using whole genome microarrays.

Dataset Information

Expression data from 5 day old Arabidopsis thaliana seedlings

Publications

GMI1, a structural-maintenance-of-chromosomes-hinge domain-containing protein, is involved in somatic homologous recombination in Arabidopsis.

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