Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single Amino-acid Polymorphisms of Human Gut Ecosystem

ABSTRACT: Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation in gut microbial metagenome and host genome but they could not adequately represent the protein-level variants. Single amino-acid polymorphisms (SAP) derived from non-synonymous SNPs can cause functional changes of proteins and are important forces of adaption. However, SAP remain quite unexplored for human gut microbiome. Here, we present a comprehensive large-scale analysis of SAP in the gut ecosystem, introducing a rigorous computational pipeline for detecting such protein variation from 992 published human metaproteomes.

ORGANISM(S): Homo Sapiens

SUBMITTER: Zhixiang Yan

PROVIDER: PXD062661 | iProX | Sat Apr 05 00:00:00 BST 2025

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Similar Datasets

Molecular Phenomics of the Gut Ecosystem in COVID-19 Patients

Project description:Stool metaproteomics of COVID-19 patients and healthy subjects to discover host and microbial protein alterations of gut ecosystem.

2020-12-14 | PXD023099 |

Metaproteomic analysis of glacial ecosystem

Project description:Glaciers are populated by a large number of microorganisms including bacteria, archaea and microeukaryotes. From an ecological point of view, three ecosystems can be differentiated in glaciers: the supraglacial ecosystem, the subglacial ecosystem and the englacial ecosystem. Several factors such as solar radiation, nutrient availability and water content greatly determine the diversity and abundance of microbial populations, the type of metabolism and the biogeochemical cycles. Firstly, the supraglacial ecosystem, sunlit and oxygenated, is predominantly populated by autotrophic microorganisms. Secondly, the subglacial ecosystem contains a majority of chemoautrotophs that are fed on the mineral salts of the rocks and basal soil. Lastly, the englacial ecosystem is the less studied and the one that contains the smallest number of microorganisms. However, these unknown englacial microorganisms establish a true trophic chain and appear to have an active metabolism. In order to study their metabolic potentials, samples of englacial ice were taken from an Antarctic glacier. The cells were harvested and their proteins were extracted and analyzed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI/TOF/TOF). Several proteins and enzymes were found that demonstrate the existence of cellular activity at subzero temperatures. In this way it is shown that the englacial microorganisms are not quiescent, but that they maintain an active metabolism and play an important role in the glacial microbial community.

2019-08-29 | PXD010185 | Pride

Metaproteomic analysis of glacial ecosystem

2019-08-29 | PXD010060 | Pride

Analysis of natural wheat and spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation

Project description:This SuperSeries is composed of the following subset Series: GSE15686: Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous laboratory fermentation (I) GSE15691: Meta-transcriptome analysis of a natural spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation (I) GSE15692: Meta-transcriptome analysis of a natural spelt sourdough ecosystem during a 10-day spontaneous laboratory fermentation (II) GSE15693: Meta-transcriptome analysis of a natural wheat sourdough ecosystem during a 10-day spontaneous laboratory fermentation (II) Refer to individual Series

2010-07-07 | E-GEOD-15803 | biostudies-arrayexpress

glacial ecosystem

Project description:glacial ecosystem Raw sequence reads

| PRJNA1081793 | ENA

Paddy ecosystem

Project description:Paddy ecosystem Raw sequence reads

| PRJNA768985 | ENA

Seagrass ecosystem

Project description:Seagrass ecosystem Raw sequence reads

| PRJNA1113396 | ENA

Region-specific effects of drugs on the gut ecosystem

Project description:To advance our understanding of the regional molecular effects of non-antibiotic drugs on the gut ecosystem, we performed multi-omics analysis of different mice intestinal regions after oral administration of 33 commonly used drugs (n=8, one drug for each animal, (n=10 for the control group)),

2025-08-12 | PXD067247 |

Unique ecosystem II

Project description:Unique ecosystem II Metagenome

| PRJNA921904 | ENA

Healthy peripheral neutrophils total RNA-Seq: Serum Amyloid P component is an essential element of resistance against Aspergillus fumigatus

Project description:Serum amyloid P component (SAP; APCS gene, also known as Pentraxin 2, PTX2), is a component of the humoral arm of innate immunity involved in resistance to bacterial infection and regulation of tissue remodeling. The present study was designed to investigate the role of SAP/PTX2 in antifungal resistance. SAP-deficient Apcs-/- mice showed a dramatic increase in susceptibility to A. fumigatus infection. The defective anti-fungal resistance of gene targeted mice was rescued by in vitro opsonization of A. fumigatus conidia and in vivo administration of murine SAP. Mouse and human SAP bound conidia, activated the complement cascade and increased phagocytosis by mouse and human neutrophils. Defective resistance of Apcs-/- SAP-deficient mice was associated with defective in vivo recruitment of neutrophils and phagocytosis in the lungs. The opsonic activity of SAP was dependent on the classical pathway of complement activation. In immunosuppressed mice, SAP administration protected hosts against A. fumigatus infection and death. In the context of a study of hematopoietic stem-cell transplantation, genetic variation in the human APCS gene was associated with susceptibility to invasive pulmonary aspergillosis. Thus, SAP is a fluid phase pattern recognition molecule essential for resistance against A. fumigatus. The results reported here also suggest that SAP has therapeutic potential against an infectious agent which represents a formidable clinical challenge.

2021-04-20 | GSE163533 | GEO

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