Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Surveillance of gastrointestinal viruses of free-ranging sea turtles in the United States

PROVIDER: PRJNA1149051 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR30276200_1.fastq.gz	Fastqsanger.gz
	SRR30276201_1.fastq.gz	Fastqsanger.gz
	SRR30276202_1.fastq.gz	Fastqsanger.gz
	SRR30276203_1.fastq.gz	Fastqsanger.gz
	SRR30276204_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 77

Similar Datasets

Peripheral blood mononuclear cell (PBMC) gene expression in healthy adults rapidly transported to high altitude

Project description:Differential expression analysis comparing healthy volunteers at sea level and after acute exposure to altitude PBMCs were isolated from healthy volunteers participating in the United States Antarctic Program. Array data was processed using the Affymetrix HG U133 Plus 2 array

2013-04-30 | E-GEOD-46480 | biostudies-arrayexpress

Severe acute respiratory syndrome coronavirus 2

Project description:SARS-CoV-2 in free-ranging white-tailed deer in the United States

| PRJNA1232935 | ENA

The effect of microbial colonization on the host proteome varies by gastrointestinal location

Project description:Endogenous intestinal microbiota have wide-ranging and largely uncharacterized effects on host physiology. Here, we used reverse-phase liquid chromatography-coupled tandem mass spectrometry to define the mouse intestinal proteome in the stomach, jejunum, ileum, cecum, and proximal colon under three colonization states: germ-free, monocolonized with Bacteroides thetaiotaomicron, and conventionally raised. Our analysis revealed distinct proteomic abundance profiles along the gastrointestinal tract. Unsupervised clustering showed that host protein abundance primarily depended on gastrointestinal location rather than colonization state and specific proteins and functions that defined these locations were identified by random forest classifications. K-means clustering of protein abundance across locations revealed substantial differences in host protein production between conventionally raised mice relative to germ-free and monocolonized mice. Finally, comparison to fecal proteomic datasets suggested that the identities of stool proteins are not biased to any region of the gastrointestinal tract, but are substantially impacted by the microbiota in the distal colon.

2015-11-25 | PXD002838 | Pride

Project description:Transmission of SARS-CoV-2 in free-ranging white-tailed deer in the United States

| PRJNA984950 | ENA

LC-MSMS analysis of green sea turtles in Reunion Island

Project description:Human activities and climate change have negatively affected the world's oceans, leading to a 30-60% decline in biodiversity and habitats in coastal ecosystems. Marine turtles, as bioindicator species, accumulate contaminants, including trace elements, due to their extensive migration and long life span. However, there is a lack of data on the abundance of these contaminants and their effects on marine turtles' health. This study focuses on analyzing the muscle proteome of juvenile green sea turtles (Chelonia mydas) from Reunion Island. The ultimate goal was to evaluate whether muscle proteome responds to in-situ mixtures of inorganic contaminants to decipher the possible impacts on individual health, thereby identifying potential new biomarkers for long-term monitoring and conservation efforts.

2025-03-17 | PXD044676 | Pride

Dynamic expression of smRNA from fecal exosome in disease progression of an inflammatory bowel disorder mouse model

Project description:Inflammatory bowel disease (IBD) is a chronic inflammatory disorder of the gastrointestinal tract affecting over 3 million adults in the United States. Despite being widespread, reliable early diagnostic tests are not available. In order to remedy this, we examined exosomal small RNA (smRNA), specifically targeting microRNA (miRNA) and piRNA from the stool samples of IBD model mice, interleukin 10 knockout mice (IL-10 KO), as a potential diagnostic marker. Stool samples were specifically chosen because they are readily available and collection is noninvasive.

2023-02-19 | GSE167239 | GEO

Loggerhead sea turtle (Caretta caretta) TMT-based plasma proteomics

Project description:The aim of the study was to monitor and analyse injured and diseased loggerhead sea turtles (Caretta caretta) plasma proteome profiles during their recovery period in rescue centre within different age and recovery period groups, and determine the potential biomarkers that can be used in diagnostics.

2021-12-10 | PXD029569 | Pride

Project description:Detection and genetic characterization of viruses present in free-ranging snow leopards (Panthera uncia)

| PRJNA626440 | ENA

Morphine treatment leads to temporal modulation of the gut microbiome

Project description:Opioid analgesics are frequently prescribed in the United States and worldwide. However, serious side effects such as addiction, immunosuppression and gastrointestinal symptoms limit long term use. In the current study using a chronic morphine-murine model a longitudinal approach was undertaken to investigate the role of morphine modulation of gut microbiome as a mechanism contributing to the negative consequences associated with opioids use. The results revealed a significant shift in the gut microbiome and metabolome within 24 hours following morphine treatment when compared to placebo. Morphine induced gut microbial dysbiosis exhibited distinct characteristic signatures profiles including significant increase in communities associated with pathogenic function, decrease in communities associated with stress tolerance. Collectively, these results reveal opioids-induced distinct alteration of gut microbiome, may contribute to opioids-induced pathogenesis. Therapeutics directed at these targets may prolong the efficacy long term opioid use with fewer side effects.

2018-04-16 | E-MTAB-5550 | biostudies-arrayexpress

Project description:Green sea turtles (Chelonia mydas) metagenome

| PRJNA1135888 | ENA