Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1285087 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gastric cancer is one of the most common malignant tumors. Asia has a high incidence of gastric cancer globally. South Korea, Mongolia, Japan and China are the four countries with the highest incidence of gastric cancer in the world. Gansu province in China has the estimated age-standardized incidence rates and mortality rates by Chinese standard population of 62.34/100,000 and 36.94/100,000, respectively, in 2012, which are much higher than the average level of China (22.06/100,000 and 15.16/100,000) in the same year. As a high incidence area of gastric cancer in China, Wuwei city in Gansu province has the prevalence of gastric cancer almost 5 times higher than the average level nationwide. In this study, the cancer tissues and matched adjacent normal mucosa tissues of 5 patients with early gastric cancers who were treated with ESD in Gansu Wuwei Tumor Hospital and the First Hospital of Lanzhou University were collected. All of the patients are from Gansu, China. MicroRNA array was used to find the differences in microRNAs expression profile between the early gastric cancer tissues and the para-cancer normal tissues. It is expected to explore the reasons of the abnormal high incidence of gastric cancer in Gansu Province, China, from the aspect of microRNAs expression profile characteristics.
2021-07-01 | GSE158315 | GEO
Project description:The miRNA contained in the total RNA extracted from Medicago truncatula seedlings (72 hours) that had been treated with solutions mimicking saline and alkaline soils was subjected to miRNA deep sequencing. Sequencing revealed that 876 miRNAs including 664 known miRNAs and 212 potential novel miRNAs were present in all the libraries.
2019-02-13 | GSE121969 | GEO
Project description:Five healthy Laoshan dairy goats (four years old, third lactation) from Qingdao Laoshan dairy goat primary farm (Shandong Province, China) were used. The mammary gland samples were collected surgically after general anaesthesia using Xylazine Hydrochloride injection solution (Huamu Animal Health Products Co., Ltd. China) at corresponding lactation stage, including early, peak and late lactations.
2020-02-22 | GSE135930 | GEO
Project description:The fate of the carbon stocked in permafrost soils following global warming and permafrost thaw is of major concern in view of the potential for increased CH4 and CO2 emissions from these soils. Complex carbon compound degradation and greenhouse gas emissions are due to soil microbial communities, but their composition and functional potential in permafrost soils are largely unknown. Here, a 2 m deep permafrost and its overlying active layer soil were subjected to metagenome sequencing, quantitative PCR, and microarray analyses. The active layer soil and 2 m permafrost soil microbial community structures were very similar, with Actinobacteria being the dominant phylum. The two soils also possessed a highly similar spectrum of functional genes, especially when compared to other already published metagenomes. Key genes related to methane generation, methane oxidation and organic matter degradation were highly diverse for both soils in the metagenomic libraries and some (e.g. pmoA) showed relatively high abundance in qPCR assays. Genes related to nitrogen fixation and ammonia oxidation, which could have important roles following climatic change in these nitrogen-limited environments, showed low diversity but high abundance. The 2 m permafrost soil showed lower abundance and diversity for all the assessed genes and taxa. Experimental biases were also evaluated and showed that the whole community genome amplification technique used caused large representational biases in the metagenomic libraries. This study described for the first time the detailed functional potential of permafrost-affected soils and detected several genes and microorganisms that could have crucial importance following permafrost thaw.
2010-03-08 | GSE20073 | GEO
Project description:The fate of the carbon stocked in permafrost soils following global warming and permafrost thaw is of major concern in view of the potential for increased CH4 and CO2 emissions from these soils. Complex carbon compound degradation and greenhouse gas emissions are due to soil microbial communities, but their composition and functional potential in permafrost soils are largely unknown. Here, a 2 m deep permafrost and its overlying active layer soil were subjected to metagenome sequencing, quantitative PCR, and microarray analyses. The active layer soil and 2 m permafrost soil microbial community structures were very similar, with Actinobacteria being the dominant phylum. The two soils also possessed a highly similar spectrum of functional genes, especially when compared to other already published metagenomes. Key genes related to methane generation, methane oxidation and organic matter degradation were highly diverse for both soils in the metagenomic libraries and some (e.g. pmoA) showed relatively high abundance in qPCR assays. Genes related to nitrogen fixation and ammonia oxidation, which could have important roles following climatic change in these nitrogen-limited environments, showed low diversity but high abundance. The 2 m permafrost soil showed lower abundance and diversity for all the assessed genes and taxa. Experimental biases were also evaluated and showed that the whole community genome amplification technique used caused large representational biases in the metagenomic libraries. This study described for the first time the detailed functional potential of permafrost-affected soils and detected several genes and microorganisms that could have crucial importance following permafrost thaw. A 2m deep permafrost sample and it overlying active layer were sampled and their metagenome analysed. For microarray analyses, 8 other soil samples from the same region were used for comparison purposes.
2010-05-06 | E-GEOD-20073 | biostudies-arrayexpress
Project description:Background: In December 2019, an outbreak of coronavirus disease (later named as COVID-19) was identified in Wuhan, China and, later on, detected in other parts of China. Our aim is to evaluate the effectiveness of the evolution of interventions and self-protection measures, estimate the risk of partial lifting control measures and predict the epidemic trend of the virus in the mainland of China excluding Hubei province based on the published data and a novel mathematical model.
Methods: A novel COVID-19 transmission dynamic model incorporating the intervention measures implemented in China is proposed. COVID-19 daily data of the mainland of China excluding Hubei province, including the cumulative confirmed cases, the cumulative deaths, newly confirmed cases and the cumulative recovered cases between 20 January and 3 March 2020, were archived from the National Health Commission of China (NHCC). We parameterize the model by using the Markov Chain Monte Carlo (MCMC) method and estimate the control reproduction number (Rc), as well as the effective daily reproduction ratio- Re(t), of the disease transmission in the mainland of China excluding Hubei province.
Results: The estimation outcomes indicate that Rc is 3.36 (95% CI: 3.20-3.64) and Re(t) has dropped below 1 since 31 January 2020, which implies that the containment strategies implemented by the Chinese government in the mainland of China are indeed effective and magnificently suppressed COVID-19 transmission. Moreover, our results show that relieving personal protection too early may lead to a prolonged disease transmission period and more people would be infected, and may even cause a second wave of epidemic or outbreaks. By calculating the effective reproduction ratio, we prove that the contact rate should be kept at least less than 30% of the normal level by April, 2020.
Conclusions: To ensure the pandemic ending rapidly, it is necessary to maintain the current integrated restrict interventions and self-protection measures, including travel restriction, quarantine of entry, contact tracing followed by quarantine and isolation and reduction of contact, like wearing masks, keeping social distance, etc. People should be fully aware of the real-time epidemic situation and keep sufficient personal protection until April. If all the above conditions are met, the outbreak is expected to be ended by April in the mainland of China apart from Hubei province.
2024-09-02 | BIOMD0000000981 | BioModels
Project description:A large corpus of 112 keratin extracts from archaeological fibres collected in Bronze Age and Iron Age sites of the Keriya valley in the Taklamakan desert (Xinjiang, China) was analyzed by bottom-up proteomics for archaeological purpose.
2019-09-06 | PXD012189 | Pride
Project description:This dataset contains raw ITS amplicon sequencing data for 719 sputum samples from individuals in Guangdong province, China.
| EGAD00001009817 | EGA
Project description:Alkaline stress has serious negative effects on citrus production. Ziyang xiangcheng (Citrus junos Sieb. ex Tanaka) (Cj) has been reported to be a rootstock that is tolerant to alkaline stress and iron deficiency. Poncirus trifoliata (Poncirus trifoliata (L.) Raf.) (Pt), the most widely used rootstock in China, is sensitive to alkaline stress. To investigate the molecular mechanism underlying the tolerance of Cj to alkaline stress, next-generation sequencing was employed to profile the root transcriptomes and small RNAs of Cj and Pt seedlings which were cultured in nutrient solution with three gradient pH. This two-regulation level data set provides a system-level view of molecular events with precise resolution. The data suggest that the auxin pathway may play a central role in inhibitory effect of alkaline stress on root growth, and the regulation of auxin homeostasis under alkaline stress was important for citrus adapting to alkaline stress. Moreover, the JA pathway shown an opposite response to alkaline stress in Cj and Pt may contributes to the differentials of root system architecture and iron deficiency tolerance between Cj and Pt. The data set provides a wealth of genomic resources and new clues for further studying the mechanisms underlying Cj that resist alkaline stress.
2019-03-18 | GSE115049 | GEO