Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - Amerindians_UrbanizationGradient

ABSTRACT: Human specimens (urine, feces, and skin) collected on swabs (wooden handle) from subjects living in Venezuela along an urbanization gradient (city to jungle). A collaborative project with Maria Gloria Dominguez-Bello.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Pieter Dorrestein Maria Gloria Dominguez-Bello

PROVIDER: MSV000082433 | GNPS | Sat Jun 02 14:00:00 BST 2018

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

High-throughput miRNA sequencing and identification of biomarkers for forensically relevant biological fluids

Project description:In this study, small RNAs were isolated from individual donations of eight forensically relevant biological fluids (blood, semen, vaginal fluid, menstrual blood, saliva, urine, feces, and perspiration) and subjected to next generation sequencing using the IlluminaÂ® Hi-Seq platform. Sequencing reads were aligned and annotated against miRbase release 21, resulting in a list of miRNAs and their relative expression levels for each sample analyzed. Body fluids with high bacterial loads (vaginal fluid, saliva, and feces) yielded relatively low annotated miRNA counts, likely due to oversaturation of small RNAs from the endogenous bacteria. Both body-fluid specific and potential normalization miRNAs were identified for further analysis as potential body fluid identification tools for each body fluid. 32 samples - 3-5 replicates of each human biological fluid: venous blood, urine, semen (normal and vasectomized), vaginal secretions, menstrual secretions, perspiration, feces, saliva

2016-08-20 | E-GEOD-85830 | biostudies-arrayexpress

GNPS_Bolivar_Skin_and_House_Samples

Project description:Skin and house samples obtained using swabs from individuals living in Venezuela.

2018-06-22 | MSV000082490 | GNPS

human metagenome

Project description:Human urine specimens metagenome

| PRJNA295936 | ENA

Skin exposed to petroleum-based chemicals

Project description:We performed an untargeted metabolomic analysis on surficial human skin samples collected with moistened cotton swabs (water: ethanol, 50:50) using LC-HR-MS/MS. Data-dependent Acquisition was employed under positive ionization mode. Two cohorts were included, subjects exposed and non-exposed to petroleum-based chemicals.

2020-10-21 | MSV000086350 | MassIVE

Skin exposed to white petrolatum

Project description:We performed an untargeted metabolomic analysis on surficial human skin samples collected with moistened cotton swabs (water:ethanol, 50:50) using LC-HR-MS/MS. Data-dependent acquisition was employed under positive ion mode. One cohort (five subjects) was recruited and white petrolatum was applied in the dominant hand (dorsal side) of the subjects for 7 days, while the other hand was not treated (non-exposed hand).

2021-12-01 | MSV000088488 | MassIVE

pandore_poissons_orge

Project description:Fish skin and gut microbiota along an urbanization gradient

| PRJEB38775 | ENA

20221114_Colgate_Regimen_Study

Project description:Skin swabs Colgate Regimen Study. Intervention study using skin beauty product with probiotics

2022-11-14 | MSV000090708 | MassIVE

GNPS - Bacteriophage Subject 1

Project description:untargeted metabolomics. analysis of skin, feces, saliva, and nasal samples collected using swabs from a subject, subject 1, with bacterial infection treated using bacteriophage.

2019-01-05 | MSV000083300 | GNPS

Differentially Expressed Glycoproteins in Pre- and Post-Digital Rectal Examination Urine Samples for Detecting Aggressive Prostate Cancer

Project description:Nonaggressive prostate cancer (NAG-PCa) with Gleason score of 6 is considered as a low-risk disease and does not require clinical interventions. However, current assessment of aggressiveness of PCa is invasive using needle biopsies. Urine is an appealing biospecimen for noninvasive detection of aggressive PCa. Using urine, particularly from easily obtainable from pre-DRE urine specimens, to identify AG-PCa-associated molecular markers is critical for clinical risk stratification. Herein, we acquired quantitative mass spectrometry data for glycoproteins from pre-DRE and post-DRE urine specimens from patients underwent PCa diagnosis with biopsies. Compared with urinary glycoproteins identified from post-DRE urine samples, we confirmed that three previously reported AG-PCa-associated glycoproteins identified in post-DRE urine specimens were also found to be significantly associated with AG disease in pre-DRE urine samples. In addition, new AG-PCa-associated glycoproteins were identified in pre-DRE urine specimens. Our study provides a foundation for further studies of AG-PCa biomarkers using pre-DRE urine specimens.

2023-07-20 | PXD036468 | Pride

Project description:Eonycteris urine and feces metagenomics

| PRJNA524946 | ENA