Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Microbial diversity of intertidal areas

ABSTRACT: The three domains of life within the discharge area of the shallow STE at a high energy beach

PROVIDER: PRJEB42988 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR5458410_1.fastq.gz	Fastqsanger.gz
	ERR5458410_2.fastq.gz	Fastqsanger.gz
	ERR5458420_1.fastq.gz	Fastqsanger.gz
	ERR5458420_2.fastq.gz	Fastqsanger.gz
	ERR5458430_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 116

Similar Datasets

Seasonal dynamics of microbial diversity at a sandy high energy beach reveal a resilient core community

Project description:Microbial community composition of intertidal sediments within the discharge area of a shallow subterranen estuary

| PRJEB39926 | ENA

Differentially expressed genes among motor and prefrontal areas of macaque monkey neocortex

2007-08-31 | GSE8644 | GEO

Differentially expressed genes among motor and prefrontal areas of macaque monkey neocortex

Project description:Motor-related areas of neocortex are highly differentiated into several subareas from both functional and cytoarchitectural aspects in the higher primates. To assess the molecular basis of such areal specialization, we investigated the gene expression profiles of primary motor area (M1), premotor area (dorsal and ventral) (PMd and PMv) and prefrontal area (A46) in the rhesus monkey by DNA microarray method. We found that 476 genes were differentially expressed among those areas. More than half of those genes were most abundantly expressed in M1, and most genes were complementarily expressed between M1 and A46. The expression profiles of PMd and PMv were similar to each other compared to those of M1 and A46. The data will give us a fundamental basis for further analysis of structure-function relationship of the primate brain. Keywords: cerebral neocortex; rhesus monkey; primary motor area; premotor area; prefrontal area Twenty four brain tissues from 4 areas (M1, PMd, PMv and A46) of right and left hemispheres of 3 adolescent rhesus monkeys (Macaca mulatta) aged 2.6-2.7 years which had been bred in group cages without any experimental treatments. Adequate measures were taken to minimize pain and discomfort, in accordance with the National Institute of Health Guide for the Care and Use of Laboratory Animals (NIH publication no. 80-23).

2007-08-31 | E-GEOD-8644 | biostudies-arrayexpress

Seasonal energy storage in aquifers of urban areas

Project description:Efficiency and reliability of energy systems in urban districts with seasonal energy storage in aquifers (Aquifer Thermal Energy Storage ATES Berlin)

| PRJEB24963 | ENA

RNA-seq data of nasopharyngeal carcinoma (NPC) in non-endemic areas

Project description:Epstein-Barr virus (EBV) related nasopharyngeal carcinoma (NPC) is an epithelial malignancy with higher incidence in Asian endemic area (EA) than in non-endemic area (NEA), where frequency is below 1/105/year. The causes of such difference are unclear and might be related to viral, environmental (e.g. diet) and genomic factors. We aimed at dissecting the gene expression (GE) and microenvironment landscape in NPC leading to the identification of molecular subtypes explaining the differences between EA and NEA.

2023-12-21 | GSE208281 | GEO

Project description:Oil degradation in lab simulated shallow sandy sediments from Pensacola Beach, FL 2015

| PRJNA520986 | ENA

Transcription profiling of P.euphratica leaf RNA samples from trees growing from four different areas in the desert valley Ein Avdat with contrasting growth conditions (drought)

Project description:We are studying the tree P. euphratica growing in its natural habitat in the Negev desert in Israel. We have used leaf RNA samples from trees growing from four different areas in the desert valley Ein Avdat with contrasting growth conditions, with the primary factor being how much water the trees have access to. Area A trees grow close to a stream. Area B trees are further away from the stream. Area C trees are growing on a slope with no water. Parking place trees grow at a parking place (1km from Area A, B and C) where there is a water irrigation system, and these trees are regularly watered once a week. The control sample in each hybridization is always RNA isolated from a pool of 5 trees from the parking place. The hybridizations are comparing the following: Area A -- parking place Area B -- parking place Area C -- parking place Each hybridization is done with a dye swap and three different biological repeats for a total of 18 hybridizations.

2004-11-30 | E-MEXP-182 | biostudies-arrayexpress

The STEMRI trial: magnetic resonance spectroscopy imaging can define tumor areas enriched in glioblastoma-stem-like cells

Project description:Despite maximally-safe resection of the MRI-defined contrast-enhanced (CE) central tumor area and chemo-radiotherapy, most glioblastoma patients relapse within one year in peritumor FLAIR regions. Spectroscopic MRI (MRSI) can discriminate metabolic tumor areas with higher recurrence potential as CNI+ regions (Choline/N-acetyl-aspartate Index>2) can predict relapse sites. As relapses are mainly imputed to glioblastoma stem-like cells (GSC), CNI+ areas might be GSC-enriched. We conducted a prospective trial in 16 GBM patients subjected to preoperative MRSI/MRI and surgery/chemo-radiotherapy to investigate GSC content in CNI+ versus CNI- biopsies from CE/FLAIR. Biopsy characterization by RNAseq revealed that FLAIR/CNI+ areas were enriched in stem-related gene signature, but also in pathways related to DNA repair, adhesion/migration and mitochondrial bioenergetics.

2023-11-03 | GSE239379 | GEO

Project description:Mobile Bay STE sediments

| PRJNA985793 | ENA

Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula.

Project description:Antarctica is an iconic region for scientific explorations as it is remote and a critical component of the global climate system. Recent climate change causes a dramatic retreat of ice in Antarctica with associated impacts to its coastal ecosystem. These anthropogenic impacts have a potential to increase habitat availability for Antarctic intertidal assemblages. Assessing the extent and ecological consequences of these changes requires us to develop accurate biotic baselines and quantitative predictive tools. In this study, we demonstrated that satellite-based remote sensing, when used jointly with in situ ground-truthing and machine learning algorithms, provides a powerful tool to predict the cover and richness of intertidal macroalgae. The salient finding was that the Sentinel-based remote sensing described a significant proportion of variability in the cover and richness of Antarctic macroalgae. The highest performing models were for macroalgal richness and the cover of green algae as opposed to the model of brown and red algal cover. When expanding the geographical range of the ground-truthing, even involving only a few sample points, it becomes possible to potentially map other Antarctic intertidal macroalgal habitats and monitor their dynamics. This is a significant milestone as logistical constraints are an integral part of the Antarctic expeditions. The method has also a potential in other remote coastal areas where extensive in situ mapping is not feasible.

| S-EPMC6157664 | 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