Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1080250 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Streptococcus suis is an important zoonosis pathogen that causes significant economic losses worldwide characterized by meningitis, septicaemia, arthritis, bronchopneumonia endocarditis. Streptcoccus suis 2 strain SC19 was isolated in Sichuan province in China, during the outbreak in 2005. Septicemia is most popular symptoms for SC19 infection, and mortality is high. We used human acute monocytic leukemia cell line (THP-1) infected SC19 to analysis the pathomechanism of septicemia in SS2 infection.
2010-03-06 | GSE20508 | GEO
Project description:Streptococcus suis is an important zoonosis pathogen that causes significant economic losses worldwide characterized by meningitis, septicaemia, arthritis, bronchopneumonia endocarditis. Streptcoccus suis 2 strain SC19 was isolated in Sichuan province in China, during the outbreak in 2005. Septicemia is most popular symptoms for SC19 infection, and mortality is high. We used human acute monocytic leukemia cell line (THP-1) infected SC19 to analysis the pathomechanism of septicemia in SS2 infection. Human acute monocytic leukemia cell line (THP-1) cells were stimulated with Streptcoccus suis 2 (SS2) strain SC19. We added SS2 to THP-1 cells at a MOI of 1:1 (bacteria/cells). Uninfected control cells were incubated with PBS only. After 3 hours incubation, cells were collected for RNA extraction and hybridization on Affymetrix microarrays. A total of 4 samples were challenged, and 4 samples were used as controls. 4 microarrays were used in this experiment.
2010-04-06 | E-GEOD-20508 | biostudies-arrayexpress
Project description:Microbial communities in the rhizosphere make significant contributions to crop health and nutrient cycling. However, their ability to perform important biogeochemical processes remains uncharacterized. Important functional genes, which characterize the rhizosphere microbial community, were identified to understand metabolic capabilities in the maize rhizosphere using GeoChip 3.0-based functional gene array method.
2014-09-12 | GSE61338 | GEO
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:Microbes play key roles in diverse biogeochemical processes including nutrient cycling. However, responses of soil microbial community at the functional gene level to long-term fertilization, especially integrated fertilization (chemical combined with organic fertilization) remain unclear. Here we used microarray-based GeoChip techniques to explore the shifts of soil microbial functional community in a nutrient-poor paddy soil with long-term (21 years).The long-term fertilization experiment site (set up in 1990) was located in Taoyuan agro-ecosystem research station (28°55’N, 111°27’E), Chinese Academy of Sciences, Hunan Province, China, with a double-cropped rice system. fertilization at various regimes.
2020-09-19 | GSE104014 | GEO
Project description:Shigui Ruan. Modeling the transmission dynamics and control of rabies in China. Mathematical Biosciences 286 (2017).
Human rabies was first recorded in ancient China in about 556 BC and is still one of the major public-health problems in China. From 1950 to 2015, 130,494 human rabies cases were reported in Mainland China with an average of 1977 cases per year. It is estimated that 95% of these human rabies cases are due to dog bites. The purpose of this article is to provide a review about the models, results, and simulations that we have obtained recently on studying the transmission of rabies in China. We first construct a basic susceptible, exposed, infectious, and recovered (SEIR) type model for the spread of rabies virus among dogs and from dogs to humans and use the model to simulate the human rabies data in China from 1996 to 2010. Then we modify the basic model by including both domestic and stray dogs and apply the model to simulate the human rabies data from Guangdong Province, China. To study the seasonality of rabies, in Section 4 we further propose a SEIR model with periodic transmission rates and employ the model to simulate the monthly data of human rabies cases reported by the Chinese Ministry of Health from January 2004 to December 2010. To understand the spatial spread of rabies, in Section 5 we add diffusion to the dog population in the basic SEIR model to obtain a reaction-diffusion equation model and determine the minimum wave speed connecting the disease-free equilibrium to the endemic equilibrium. Finally, in order to investigate how the movement of dogs affects the geographically inter-provincial spread of rabies in Mainland China, in Section 6 we propose a multi-patch model to describe the transmission dynamics of rabies between dogs and humans and use the two-patch submodel to investigate the rabies virus clades lineages and to simulate the human rabies data from Guizhou and Guangxi, Hebei and Fujian, and Sichuan and Shaanxi, respectively. Some discussions are provided in Section 7.
2024-09-02 | BIOMD0000000726 | BioModels