Zhique (ZQ) and trifoliate orange (TO)
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA791552 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR17317300_1.fastq.gz | Fastqsanger.gz | |||
| SRR17317300_2.fastq.gz | Fastqsanger.gz | |||
| SRR17317301_1.fastq.gz | Fastqsanger.gz | |||
| SRR17317301_2.fastq.gz | Fastqsanger.gz | |||
| SRR17317302_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 12 |
Similar Datasets
Project description:Candida tropicalis strain:ZQ Genome sequencing
| PRJNA1224705 | ENA
Project description:Acaricomes phytoseiuli strain:ZQ Genome sequencing and assembly
| PRJNA886762 | ENA
Project description:Prionace glauca isolate:ZQ-2024 Genome sequencing and assembly
| PRJNA1092991 | ENA
Project description:Cryptocoryne crispatula var. balansae isolate:ZQ-2023 | cultivar:not collected Genome sequencing and assembly
| PRJNA1049781 | ENA
Project description:The severe inflammatory response of pulmonary epithelial cells is the main pathological feature of pneumonia caused by methicillin-resistant Staphylococcus aureus (MRSA). Zhenqi granules (ZQ), a compound herbal formula composed of Astragalus membranaceus and Ligustrum lucidum, has potential therapeutic effects on this inflammatory response, but its mechanism of action is still unclear. The study aims to explore the effect and mechanism of ZQ on the inflammatory response induced by establishing an in vitro model of MRSA-infected human pulmonary bronchial epithelial cells (MRSA-BEAS-2B). ZQ (10 mg/mL) had no inhibitory effect on MRSA or its biofilm, but it reduced the levels of LDH and c-di-AMP in MRSA-BEAS-2B cells. The mechanism is attributed to the downregulation of endoplasmic reticulum-related protein pathways, specifically involving a decrease in endoplasmic reticulum stress-related proteins such as STING and ERAdP; a decrease in inflammation pathway-related factors such as NF-ĸB, IFR3, NLRP3, and TLR4; and an increase in the STING antagonist RECON. These effects resulted in a reduction in the proinflammatory cytokines IFN-β, IL-1β, IL-6, and IL-18, thereby inhibiting pulmonary inflammation. ZQ attenuates the inflammatory response of pulmonary epithelial cells by inhibiting c-di-AMP-related endoplasmic reticulum stress during MRSA infection. This study provides a basis for the clinical application of ZQ and improves the development of treatment strategies for pulmonary MRSA infection.
2024-10-19 | GSE267856 | GEO
Project description:To evaluate the transcriptome response of roots towards Hoagland solution of two-year-old healthy (C) and HLB-affected (T) sweet orange (Citrus sinensis L.) cultivar Midsweet grafted on Kuharskei Carrizo rootstock at three different time points; D1 (at the start of the experiment), D2 (After 3 days of Hoagland solution), D3 (After nine days of Hoagland solution), were performed using RNA sequencing analysis. A total of 9, 19, and 2324 DEGs were expressed in HLB-affected and healthy trees feeder roots on D1, D2, and D3, respectively. Due to a small number of DEGs in HLB-affected and healthy trees roots on D1 and D2, enrichment analysis could not be performed. At D3, Gene Ontology (GO) enrichment analysis was performed using upregulated and downregulated DEGs in HLB-affected roots compared to healthy roots. For the upregulated DEGs in HLB-affected roots, the most enriched biological GO categories were related to transport, cellular amino acid metabolic process, oxoacid metabolic process, organic acid metabolic processes, phenylpropanoid biosynthesis process, response to carbohydrate stimulus, ethylene and the jasmonic acid-mediated signaling pathway, and regulation of plant hormone. The biological GO categories based on the number of DEGs associated with downregulated DEGs were the developmental process, phosphate metabolic process, protein modification process, defense response, growth, cell cycle, cell death, and ABA-mediated signaling pathway. The results of this study strongly suggest; although, the reduced biomass limits the nutrient uptake capacity in the plants as a whole, so in order to compensate for reduced root to shoot ratio the existing root undergo anatomical and transcriptomic changes to improve nutrient uptake efficiency to meet the nutrient demand of shoot systems. It is likely that higher inputs of energy in nutrient uptake possibly results in reducing the root longevity of HLB-affected trees. Good nutrition management practices are critical for the survival of HLB-affected trees as the availability and uptake of nutrients allow HLB-affected trees in response to abiotic and biotic stress.
2020-05-03 | GSE149755 | GEO
Project description:We used two hybrid combinations and their 4 parents as materials. One week after topping the tobacco plant, samples were taken, including three tissues: root, stalk, and leaf. The RNA of these samples was extracted, and transcriptome sequencing analysis was carried out to explore the transcriptional profile differences between hybrids and their parents, and to analyze the gene differential expression between different tissues.
2023-06-09 | GSE233199 | GEO
Project description:We have sequenced a wild Prunus mume and constructed a reference sequence for this genome. In order to improve quality of gene models, RNA samples of five tissues (bud, leaf, root, stem, fruit) were extracted from the Prunus mume. To investigate tissue specific expression using the reference genome assembly and annotated genes, we extracted RNA samples of different tissues and conducted transcriptome sequencing and DEG analysis.
2012-12-27 | GSE40162 | GEO
Project description:The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays. Single root tip zones can be used for full transcriptome analysis; further, the root apex zones are functionally very distinct from each other. RNA-Seq provided novel information about the transcripts compared to the arrays. These data will help optimize transcriptome techniques for dealing with small, rare samples.
2018-10-29 | GSE115554 | GEO
Project description:The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays. Single root tip zones can be used for full transcriptome analysis; further, the root apex zones are functionally very distinct from each other. RNA-Seq provided novel information about the transcripts compared to the arrays. These data will help optimize transcriptome techniques for dealing with small, rare samples.
2018-10-29 | GSE115486 | GEO