Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1138492 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29909776_1.fastq.gz | Fastqsanger.gz | |||
| SRR29909776_2.fastq.gz | Fastqsanger.gz | |||
| SRR29909777_1.fastq.gz | Fastqsanger.gz | |||
| SRR29909777_2.fastq.gz | Fastqsanger.gz | |||
| SRR29909778_1.fastq.gz | Fastqsanger.gz |
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Project description:Purpose: we conducted a six time-point transcriptomic analysis using two tobacco cultivars with contrasting cold responses, Taiyan8 tobacco (TT, cold susceptibility) and Yanyan97 tobacco (YT, cold resistance). Methods: mRNA profiles of Tobacco seedlings from CK and cold-treated plants were generated by deep sequencing, in triplicate, usingIllumina Hiseq4500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with methods: hisat2 (v2.0.5), SAMtools (v1.9). StringTie (v1.3.4d) and FeatureCounts (v1.6.4) Results: We found that both cultivars had common mechanisms to cope with cold stress, including common differentially expressed genes (DEGs), similar time-point-related differential expression profile of genes, and similar NtCBF gene co-expression modules, suggesting conservation of adaptation strategies for cold responses. Importantly, we found that YT experienced DEGs even under normal growth condition and had less DEGs in early stage of cold stress (0.5-2 h) when compared to TT, reflecting occurrence of genotype-dependent gene transcription. Moreover, a gene co-expression module (brown) with stress-related genes up-regulated in YT instead of TT at late stage (4-8 h), which might contribute to contrasting phenotypic changes during cold stress between TT and YT. Conclusions: our study provides valuable resources for transcriptomic studies of cold responses in plants. It also helps to identify key cold responsive genes for genetic manipulation for breeding of tobacco cultivars in the future.
2022-08-03 | GSE173352 | GEO
Project description:Down-regulation of reactive oxygen species build-up in chloroplasts by expression of a plastid-targeted flavodoxin (Fld) delayed localized cell death in tobacco leaves inoculated with the non-host bacterium Xanthomonas campestris pv. vesicatoria (Xcv), while other defensive responses were unaffected. To better understand these effects we compared the transcriptomic alterations caused by Xcv inoculation on leaves of Fld-expressing tobacco plants and their wild-type siblings.
2016-12-20 | GSE92596 | GEO
Project description:Purpose: Globally, many jurisdictions are legalizing or decriminalizing cannabis, creating a potential public health issue that would benefit from experimental evidence to inform policy, government regulations, and user practices. Tobacco smoke exposure science has created a body of knowledge that demonstrates the conclusive negative impacts on respiratory health; similar knowledge remains to be established for cannabis. To address this unmet need, we performed in vitro functional and transcriptomic experiments with a human airway epithelial cell line (Calu-3) exposed to cannabis smoke, with tobacco smoke as a positive control. Results: We demonstrate that cannabis smoke induced functional and transcriptional responses that overlapped with tobacco smoke. Ontology and pathway analysis revealed that cannabis smoke induced DNA replication and oxidative stress responses. Functionally, cannabis smoke impaired epithelial cell barrier function, antiviral responses, and increased inflammatory mediator production. Our study reveals striking similarities between cannabis and tobacco smoke exposure on impairing barrier function, suppressing antiviral pathways, potentiating of pro-inflammatory mediators, and inducing oncogenic and oxidative stress gene expression signatures. LABA/GC intervention in airway epithelial cells exposed to cannabis smoke reduces levels of pro-inflammatory (CXCL8) and antiviral (CXCL10) mediators, while transcriptomic signatures of neutrophil mediated immunity and oxidative stress remain elevated. Conclusions: Collectively our data suggest that cannabis smoke exposure is not innocuous and may possess many of the deleterious properties of tobacco smoke, warranting additional studies to support public policy, government regulations, and user practices.
2020-01-28 | GSE125259 | GEO
Project description:To investigate the molecular mechanism of tobacco flower in response to the cold treatment, transcriptomic analysis was performed using Agilent Tobacco Gene Expression Microarrays.
2023-03-22 | GSE227885 | GEO
Project description:Transcriptomic analysis of tobacco plants in response to whitefly infection
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Project description:This SuperSeries is composed of the following subset Series: GSE35738: 2009 pandemic H1N1 virus causes disease and upregulation of genes related to inflammatory and immune response, cell death, and lipid metabolism in pigs GSE40088: Comparative transcriptomic analysis of acute host responses during 2009 pandemic H1N1 influenza infection in mouse, macaque, and swine (macaque dataset) GSE40091: Comparative transcriptomic analysis of acute host responses during 2009 pandemic H1N1 influenza infection in mouse, macaque, and swine (mouse dataset) Refer to individual Series
2012-08-13 | E-GEOD-40092 | biostudies-arrayexpress
Project description:We aimed to identify targets of miRNAs/small RNAs in Arabidopsis inflorescences after infection with Tobacco rattle virus (TRV).
2018-03-01 | GSE106322 | GEO
Project description:We have previously reported that the responses of tobacco tissues treated with AaGlucan are similar to those for laminarin [1]. To better understand the overall responses and signaling pathways in tobacco, we have identified here AaGlucan and laminarin early response genes, using a custom 16K BY-2 microarray [2,3]. BY-2 cells were treated with laminarin or an AaGlucan-enriched fraction prepared from A. alternata 102 culture-medium and subjected to microarray analysis. [1] Shinya, T., Menard, R., Kozone, I., Matsuoka, H., Shibuya, N., Kauffmann, S., Matsuoka, K. and Saito, M. (2006) Novel b-1,3-, 1,6-oligoglucan elicitor from Alternaria alternata 102 for defense responses in tobacco. FEBS J. 273: 2421-2431. [2] Matsuoka, K., Demura, T., Galis, I., Horiguchi, T., Sasaki, M., Tashiro, G. and Fukuda, H. (2004) A comprehensive gene expression analysis toward the understanding of growth and differentiation of tobacco BY-2 cells. Plant Cell Physiol. 45: 1280-1289. [3] Galis, I., Simek, P., Narisawa, T., Sasaki, M., Horiguchi, T., Fukuda, H. and Matsuoka, K. (2006) A novel R2R3 MYB transcription factor NtMYBJS1 is a methyl jasmonate-dependent regulator of phenylpropanoid-conjugate biosynthesis in tobacco. Plant J. 46: 573-592. Keywords: Stress response
2007-10-16 | GSE6948 | GEO
Project description:Objectives: To identify transcriptomic differences in the blood and sputum of e-cigarette users compared to conventional cigarettes smokers and healthy controls and describe biological pathways affected by these tobacco products. Methods: Cross-sectional analysis of whole blood and sputum RNA-sequencing data from 8 smokers, 9 e-cigarette users (e-cigs) and 4 controls. Weighted gene co-network analysis (WGCNA) identified gene module associations. Ingenuity Pathway Analysis (IPA) identified canonical pathways associated with tobacco products. Main Results: In blood, a three-group comparison showed 16 differentially expressed genes (DEGs); pair-wise comparison showed 7 DEGs between e-cigs and controls, 35 DEGs between smokers and controls, and 13 DEGs between smokers and e-cigs. In sputum, 438 DEGs were in the three-group comparison. In pair-wise comparisons, there were 2 DEGs between e-cigs and controls, 270 DEGs between smokers and controls, and 468 DEGs between smokers and e-cigs. Only 2 genes in the smokers vs. control comparison overlapped between blood and sputum. Most gene modules identified through WGCNA associated with tobacco product exposures also were associated with cotinine and exhaled CO levels. IPA showed multiple canonical pathways altered by conventional smoking but none by e-cigarette use. Conclusion: Cigarette smoking and e-cigarette use led to transcriptomic changes in both blood and sputum. However, conventional cigarettes induced much stronger transcriptomic responses in both compartments.
2023-05-24 | GSE223736 | GEO