Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from root tissues of 35S:AtHMA4 and wild-type tomato plants grown in the presence of Zn

ABSTRACT: Ectopic expression of AtHMA4 in tomato modified Zn accumulation in a Zn-supply dependent manner. It suggests that HMA4-expression under a range of Zn-supply differentially modifies the expression of endogens, which contributes to different Zn-related phenotypes. To identify genes differentially regulated in 35S:AtHMA4-expressing and wild-type tomato, the transcription profiles were compared between roots of transgenic and WT-plants grown in the presence of 5 µM Zn. An effort was undertaken to recognize tissue specific alterations underlying the difference in Zn root:shoot distribution between tested plant lines and LCM technique was used to isolate epidermis+cortex and stele from roots.Understanding the interplay between the transgene and the endogens is crucial for planning genetic modification for Zn-biofortification purpose. 10-day old tomato plant (35S:AtHMA4 expressing and WT) were subjected to 5 µM Zn (added as ZnSo4) for 15 days. Three independent experiments were performed. At the end of each experiment 2.0 cm long root fragments from six plants (excluding 1.5 cm long apical fragments) were pooled, embedded in NEG-50 Frozen Section Medium (Thermo Scientific), and frozen in liquid nitrogen. Total RNA isolated from three batches of roots was amplified and used for three independent microarray analysis.

ORGANISM(S): Solanum lycopersicum

SUBMITTER: Maria Kendziorek

PROVIDER: E-GEOD-68639 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Objective: Rituximab displays therapeutic benefits in the treatment of rheumatoid arthritis (RA) patients resistant to TNF blockade. However, the precise role of B cells in the pathogenesis of RA is still unknown. In this study we investigated the global molecular effects of rituximab in synovial biopsies obtained from anti-TNF resistant RA patients before and after administration of the drug. Methods: Paired synovial biopsies were obtained from the affected knee of anti-TNF resistant RA patients before (T0) and 12 weeks after initiation of rituximab therapy (T12). Total RNA was extracted, labeled according to standard Affymetrix procedures and hybridized on GeneChip HGU133 Plus 2.0 slides. Immunohistochemistry and quantitative real-time PCR experiments were performed to confirm the differential expression of selected transcripts. Results: According to paired Studentâs t-tests, 549 out of 54,675 investigated probe sets were differentially expressed between T0 and T12. Pathway analysis revealed that genes down-regulated between T0 and T12 were significantly enriched in immunoglobulin genes, and genes involved in chemotaxis, leucocyte activation and immune responses (Gene Ontology annotations). By contrast, genes up-regulated between T0 and T12 were significantly enriched in transcripts involved in cell development (Gene Ontology annotation) and wound healing (GSEA). At baseline, higher synovial expression of immunoglobulin genes was associated with response to therapy. Conclusion: Rituximab displays unique effects on global gene expression profiles in synovial tissue of RA patients. These observations open new perspectives in the understanding of the biological effects of the drug and in the selection of patients likely to benefit from this therapy. Twenty patients with RA (17 women and 3 men, average age +/- SEM: 52,6+/-3,8 years) were included in the study. All patients met the American College of Rheumatology classification criteria for the diagnosis of RA. All patients had active disease at the time of tissue sampling and were resistant to TNF blockade. They all had erosive changes imaged on conventional x-rays of the hands and/or feet. All of them had a swollen knee at inclusion. Rituximab therapy was administrated at a dose of 1,000 mg IV at baseline (T0) and at week 2, together with 125 mg IV Methylprednisolone. Clinical parameters at baseline (T0) and 12 weeks after the initiation of therapy (T12) was evaluated using DAS(28)-CRP scores and clinical responses were assessed using EULAR response criteria. Synovial biopsies were obtained by needle-arthroscopy of an affected knee from all patients at T0 and T12. For each procedure, 4 to 8 synovial samples were kept overnight at 4Â°C in a RNA stabilizing solution (RNALater, Ambion, Applied Biosystems, TX, USA) and then stored at â80Â°C for later RNA extraction. The same amount of tissue was snap-frozen in liquid nitrogen and kept at â80Â°C for immunostaining experiments on frozen sections. The remaining material was fixed in 10% formaldehyde and paraffin embedded for conventional optical evaluation and immunostaining of selected markers. All the experiments (RNA extraction, histology, immunohistochemistry) were performed on at least 4 biopsies harvested during every procedure in order to correct for variations related to the potential heterogeneous distribution of synovial inflammation. The study was approved by the ethics committee of the UniversitÃ© catholique de Louvain and informed consent was obtained from all patients. At least 1 Âµg total RNA could be extracted from 12 paired samples at T0 and T12 for further processing.

Project description:Gene-to-gene coexpression analysis is a powerful approach to infer function of uncharacterized genes. To perform non-targeted coexpression analysis of tomato genes, we collected a developmental gene expression dataset using various tissues of tomato plant. Expression data are collected from 24 different tissue types including root, hypocotyl, cotyledon, leaf at different stages, and fruit tissues at 4 different ripening stages from 4 different Solanum lycopersicum cultivars. Fruits were separated to the flesh and the peel. These two tissue types indeed showed remarkably different gene expression profiles. We also collected data from 4 different ripening stages (mature green, yellow, orange, and red) to detail the changes during ripening. By using this gene expression dataset, we calculated pair-wise Pearsonâs correlation coefficients, and performed network-based coexpression analysis. The analysis generated a number of coexpression modules, some of which showed an enrichment of genes associated with specific functional categories. This result will be useful in inferring functions of uncharacterized tomato genes, and in prioritizing genes for further experimental analysis. We used Affymetrix GeneChip Tomato genome Arrays to detail the global gene expression change using 24 different tomato tissue types (67 hybridizations). We collected gene expression data from 24 different tomato tissue types using 67 hybridizations. Root, hypocotyl, cotyledon, and leaf were sampled from 3-week-old or 5-weekâold plant of Solanum lycopersicum cultivar Micro-Tom. Fruit tissues were sampled from S. lycopersicum cultivars Micro-Tom, Anthocyanin fruit (Aft, LA1996), Line27859, and Momotaro 8 (Takii, Japan). From Micro-Tom fruit, the peel and the flesh were separately sampled from 4 different ripening stages: mature green (MG, approximately 30 day after anthesis), yellow (Y, approximately 35 days after anthesis), orange (O, approximately 38-40 days after anthesis), and red (R, approximately 45-48 days after anthesis). From fruits of Aft and Line27859, the peel and the flesh were sampled at mature green (MG, approximately 40 days after anthesis) and red (R, approximately 50-55 days after anthesis) stages. From Momotaro 8, the peel and the flesh were sampled at red (R, 50- approximately 50-55 days after anthesis) stages. For each tissue type, 2-4 biological replicates were made in RNA preparation.

Project description:TNF antagonists are routinely used in severe rheumatoid arthritis (RA) patients who failed conventional DMARD therapy. According to large clinical trials, the three available drugs (adalimumab, infliximab and etanercept) display similar effects in terms of efficacy, tolerability and side effects. These studies also indicate that about 25% of RA patients treated with TNF-antagonists do not display any significant clinical improvement. The aim of this study was to investigate global molecular patterns in synovial biopsies from RA patients obtained 12 weeks after initiation of adalimumab therapy. All patients had rheumatoid arthritis (RA), according to the American College of rheumatology criteria for the diagnosis of RA. They had active disease at the time of initiation of adalimumab therapy and were resistant to conventional therapy. They all had erosive changes imaged on conventional x-rays of the hands and/or feet. All patients were treated with disease-modifying antirheumatic drugs (DMARD’s), 23 with methotrexate (median dose 15 mg/week, range 7.5 – 20 mg/week), and 2 with leflunomide (20 mg/day); 18 of them were treated with low-dose steroids (prednisolone ≤ 7.5 mg/day). Six patients had been included in double-blind clinical trials before inclusion in the present study (1 in a Golimumab versus placebo trial, 3 in a MapKinase inhibitor versus placebo trial and 2 in a TACE-inhibitor versus placebo trial). These trials were stopped at least 3 months prior to initiation of TNF-blocking therapy. All drug dosages were stable from at least 3 months prior to initiation of TNF blocking therapy until completion of the study. No steroid injections were allowed during the duration of the study. Adalimumab therapy was initiated at a dosage of 40 mg subcutaneously every other week. Disease activity at baseline and 12 weeks after initiation of therapy (T12) was evaluated using DAS(28)-CRP (3- and 4-variables) scores, and response to therapy was assessed according to the EULAR response criteria that categorize patients in responders (good- or moderate-) and non- (or poor-) responders based on changes in DAS activity between T0 and T12 and absolute DAS values at T12. Synovial biopsies were obtained by needle-arthroscopy of knee of the patients at T12. The aim of the study was to compare gene expression profiles in synovial tissue of RA patients who responded versus not responded to adalimumab therapy.

Dataset Information

Expression data from root tissues of 35S:AtHMA4 and wild-type tomato plants grown in the presence of Zn

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure