Ena-DATASET-DKFZ-11-09-2018-14:03:31:711-448 - samples
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00001004327 | EGA |
REPOSITORIES: EGA
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Project description:RNA timecourse data for Streptomyces fradiae wildtype (ATCC19609) and overproducing strain KOS155-3C(RUS). Strains were grown at 30 C in shake flask cultures in R5 medium with no glucose. RNA samples were harvested over 5 days as tylosin was produced. 12 h RNA samples of each strain were used as the reference sample(green) within their respective timecourses. The WT gDNA vs. 12 h RNA control displays relative gene expression at the beginning of the timecourse. The 12 h RNA control compares initial RNA levels between the WT and overproducer. Groups of assays that are related as part of a time series. Keywords: time_series_design
2005-07-26 | GSE2995 | GEO
Project description:RNA timecourse data for Streptomyces fradiae wildtype (ATCC19609) and overproducing strain KOS155-3C(RUS). Strains were grown at 30 C in shake flask cultures in R5 medium with no glucose. RNA samples were harvested over 5 days as tylosin was produced. 12 h RNA samples of each strain were used as the reference sample(green) within their respective timecourses. The WT gDNA vs. 12 h RNA control displays relative gene expression at the beginning of the timecourse. The 12 h RNA control compares initial RNA levels between the WT and overproducer. Groups of assays that are related as part of a time series. Computed
2005-07-26 | E-GEOD-2995 | biostudies-arrayexpress
Project description:Late-onset Alzheimer's disease (LOAD) is the most common cause of dementia among those older than 65 years. The onset of LOAD is influenced by neuroinflammation. The human leukocyte antigen (HLA) system is involved in regulating inflammatory responses. Numerous HLA alleles and their haplotypes have shown varying associations with LOAD in diverse populations, yet their impact on the Japanese population remains to be elucidated. Here, we conducted a comprehensive investigation into the associations between LOAD and HLA alleles within the Japanese population. Using whole-genome sequencing (WGS) data from 303 LOAD patients and 1717 cognitively normal (CN) controls, we identified four-digit HLA class I alleles (A, B, and C) and class II alleles (DRB1, DQB1, and DPB1). We found a significant association between the HLA-DRB1*09:01-DQB1*03:03 haplotype and LOAD risk in APOE [Formula: see text]4-negative samples (odds ratio = 1.81, 95% confidence interval = 1.38-2.38, P = 2.03[Formula: see text]). These alleles not only showed distinctive frequencies specific to East Asians but demonstrated a high degree of linkage disequilibrium in APOE [Formula: see text]4-negative samples (r2 = 0.88). Because HLA class II molecules interact with T-cell receptors (TCRs), we explored potential disparities in the diversities of TCR α chain (TRA) and β chain (TRB) repertoires between APOE [Formula: see text]4-negative LOAD and CN samples. Lower diversity of TRA repertoires was associated with LOAD in APOE [Formula: see text]4-negative samples, irrespective of the HLA DRB1*09:01-DQB1*03:03 haplotype. Our study enhances the understanding of the etiology of LOAD in the Japanese population and provides new insights into the underlying mechanisms of its pathogenesis.
| S-EPMC10761915 | biostudies-literature
Project description:BackgroundHigh meat consumption, particularly red meat and processed meat, negatively affects our health, while meat production is one of the largest contributors to global warming and environmental degradation. The aim of our study was to explore trends in meat consumption within the UK and the associated changes in environmental impact. We also aimed to identify any differences in intake associated with gender, ethnicity, socioeconomic status, and year of birth.MethodsOur study aimed to describe consumption of red, white, and processed meat within the UK, using data from the National Diet and Nutrition Survey rolling programme (2008-09 to 2018-19), and the associated changes in environmental impact. Meat consumption was based on disaggregated meat data, from 4 day food diaries that excluded all non-meat components of composite dishes. For each year surveyed, trends for meat intake were reported as mean grams per capita per day and linear-regression models were used to test for trends. We used multivariable linear-regression models to examine differences among consumers, as a percentage of food energy, by gender, ethnicity, equivalised household income, and year of birth.FindingsFrom 2008 to 2019, average meat consumption per capita per day decreased from 103·7 g (SE 2·3) to 86·3 g (2·9) per day (ptrend<0·0001), including an absolute reduction in red-meat consumption of 13·7 g (ptrend<0·0001), an absolute reduction in processed meat consumption of 7·0 g (ptrend<0·0001), and a 3·2 g increase (ptrend=0·0027) in white-meat consumption. Collectively, these changes were associated with a significant reduction in all six environmental indicators over the whole period. The two middle birth-year groups (people born in 1960-79 and 1980-99) and White individuals were the highest meat consumers. Meat intake increased over time among people born after 1999, was unchanged among Asian and Asian British populations, and decreased in all other population subgroups. We found no difference in intake with gender or household income.InterpretationDespite the overall reduction in meat intake, reaching meat-consumption targets that align with sustainable diets will require a substantial acceleration of this trend.FundingThe Wellcome Trust, Our Planet Our Health programme (Livestock, Environment, and People).
| S-EPMC8515514 | biostudies-literature
Project description:IntroductionHere we report our results of a multi-center, open cohort study ("COVID-Kids-Bavaria") investigating the distribution of acute SARS-CoV-2 infections among children and staff in 99 daycare facilities and 48 elementary schools in Bavaria, Germany.Materials and methodsOverall, 2,568 children (1,337 school children, 1,231 preschool children) and 1,288 adults (466 teachers, 822 daycare staff) consented to participate in the study and were randomly tested in three consecutive phases (September/October 2020, November/December 2020, March 2021). In total, 7,062 throat swabs were analyzed for SARS-CoV-2 by commercial RT-PCR kits.ResultsIn phase I, only one daycare worker tested positive. In phase II, SARS-CoV-2 was detected in three daycare workers, two preschool children, and seven school children. In phase III, no sample tested positive. This corresponds to a positive test rate of 0.05% in phase I, 0.4% in phase II and 0% in phase III. Correlation of a positive PCR test result with the local-7-day incidence values showed a strong association of a 7-day-incidence of more than 100/100,000 as compared to <100/100,000 (OR = 10.3 [1.5-438], p < 0.005). After phase III, antibody testing was offered to 713 study participants in elementary schools. A seroprevalence rate of 7.7% (students) and 4.5% (teachers) was determined.DiscussionDuring the initial waves of the SARS-CoV-2 pandemic, the risk of a positive SARS-CoV-2 result correlated positively with the local 7-day incidence. Hence, the occurrence of SARS-CoV-2 infections were reflected in schools and daycare facilities. An increased risk of SARS-CoV-2 transmission in the setting of daycare and elementary schooling was unlikely.
| S-EPMC9298551 | biostudies-literature
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| S-IHECRE00000010.1 | biostudies-other
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| S-IHECRE00000048.1 | biostudies-other
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| S-IHECRE00000056.1 | biostudies-other