Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Storm dust

ABSTRACT: Biogeochemical cycles and health implications potentially mediated by bioactive dust-borne bacteria

PROVIDER: PRJNA982604 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR25884555_1.fastq.gz	Fastqsanger.gz
	SRR25884555_2.fastq.gz	Fastqsanger.gz
	SRR25884556_1.fastq.gz	Fastqsanger.gz
	SRR25884556_2.fastq.gz	Fastqsanger.gz
	SRR25884557_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

dust metagenome

Project description:Culturable house dust-borne bacteria raw sequence reads

| PRJNA302236 | ENA

Aspirin-triggered Resolvin D1 Reduces Chronic Dust-induced Lung Pathology Without Altering Susceptibility to Dust-enhanced Carcinogenesis.

Project description:Farm workers are at an increased risk for the development of acute and chronic lung inflammatory diseases from their everyday exposures to organic dust. Previous investigations have examined the inflammatory effects in mice from single and repetitive exposures to dust from swine confinement facilities, however, no study has explored these effects in a chronic model. To address this research gap, we established a chronic dust exposure mouse model of lung tumor-igenesis that was also used to measure the efficacy of omega-3 fatty acid-derived lipid mediators as therapeutics for mitigating these induced responses. Our results from these investigations are the first to evaluate the chronic inflammatory, and carcinogenic effects of these dusts, as well as identify a potential therapeutic strategy for mitigating the inflammatory effects by using an omega-3 fatty acid-derived bioactive lipid mediator.

2022-04-12 | GSE200451 | GEO

Raw metaproteomic data of indoor dust extracellular vesicles

Project description:Raw metaproteomic data of Chinese indoor dust derived extracellular vesicles. These dust samples were collected in the summer of 2022 and were immediately sent to the laboratory for processing. The extracellular vesicles of dust were subjected to ultracentrifugation, and they were further purified using iodixanol density gradient ultracentrifugation. After extracting the extracellular vesicles, metaproteomic sequencing was performed.

2025-08-30 | PXD067899 | Pride

Blood gene expression changes in response to exposure to dust containing silica

Project description:Occupational exposure to dust containing crystalline silica may result in serious adverse health effects including silicosis and cancer. Previous studies which employed animal models for inhalation exposure to crystalline silica revealed changes in blood gene expression profiles in association with the silica-induced lung toxicity. Currently, global gene expression profiles were determined in the whole blood samples obtained from control (not exposed to dust) and dust containing silica exposed individuals with or without clinically identified silicosis. Differences in the blood gene expression profiles were detected in the blood samples obtained from the control and the silica-containing dust exposed individuals. Between the two groups of the silica-containing dust exposed individuals, the number of significantly differentially expressed genes was more in the blood samples obtained from those with silicosis.

2024-12-31 | GSE165489 | GEO

Airborne dust

Project description:Airborne dust Metagenome

| PRJNA1006161 | ENA

home dust

Project description:home dust Metagenome

| PRJNA573814 | ENA

dust microbiome

Project description:Global dust microbiomes

| PRJNA764750 | ENA

dust metagenome

Project description:dust metagenome Metagenome

| PRJNA321423 | ENA

dust

Project description:House dust microbiota raw sequence reads

| PRJNA784155 | ENA

When a Dust Storm Is Not a Dust Storm: Reliability of Dust Records From the Storm Events Database and Implications for Geohealth Applications

Project description:Abstract Windblown dust impacts human health, air quality, and climate. The National Weather Service Storm Events Database (SED) is a widely used dataset of significant or unusual weather, including dust storms (DS), and resulting deaths, injuries, and material losses in the USA. The SED is frequently used by medical, social, and atmospheric scientists. However, it is uncertain whether this dataset reliably represents spatial and temporal variations and trends of DS. Analyzing the SED from 2000 to 2020 identified 1,167 DS reports; removing reports of the same event from multiple locations left 647 DS in 21 USA states. The number of DS ranged from 12 in 2008 to 53 in 2018, with no strong interannual trends detected (R2 was 0.3). By examining the DS events reported in the SED based on meteorological observations including wind speed, visibility, and weather codes, we determined that the SED was not only missing many DS (visibility <1 km), but also included many blowing dust (BLDU) events. 49.9% of 491 reported DS events in SED had visibility >1 km and were incorrectly reported as DS. Underrepresentation of DS and inclusion of BLDU may be partially due to the diverse sources contributing to the SED and a lack of verification of the reports and their consistency. Although the SED is an extremely useful and valuable database of impactful weather, including DS, the issues found in this study warrant caution in use of this dataset for many geohealth applications. Key Points Storm Events Database, a widely used weather event database for many health effects studies, is lacking many dust storms (DS) events Although the Storm Database is representative and useful, it may not be comprehensive or complete and thus should be used carefully There is a need for a new database of dust events, that will include all levels of dust events (including blowing dust and DS)

| S-EPMC9813799 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data