Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

1 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Anhui Provincial Hospital DIA Relative content detection

ABSTRACT: Anhui Provincial Hospital DIA Serum proteomics Relative content detection

ORGANISM(S): Homo Sapiens

SUBMITTER: Likun Ma

PROVIDER: PXD027139 | iProX | Fri Dec 17 00:00:00 GMT 2021

REPOSITORIES: iProX

ACCESS DATA

Json Xml

Similar Datasets

Improved detection and quantitation of RNA-interactome using DIA SILAC

Project description:Detection and quantitation of the RNA-interacting proteome is commonly achieved applying SILAC labeling, following by data-dependent acquisition (DDA) of the proteomic data. However, the limited sensitivity of the DDA approach often restricts protein detection to those with higher expression in cells, necessitating peptide fractionation prior to mass spectrometry. Here we report a pipeline for SILAC analysis using data-independent acquisition (DIA), with a spectral library constructed using gas-phase window separation of light materials followed by in silico prediction of heavy spectra. The resulting DIA datasets had 30-40% more detected proteins compared to the same biological materials analyzed using DDA, while abolishing the requirement for pre-MS reverse-phase fractionation of peptides. Lower inter-replicate variations were seen with DIA for proteins detected in both acquisitions. As a test, we determined the effects of arsenite treatment on the RNA-bound proteome of HEK cells recovered following total RNA-associated proteome purification (TRAPP). The DIA dataset yielded clear GO term enrichment for RNA-binding proteins involved in cellular stress responses, while enrichment in the DDA dataset was relatively weak. Dataset normalization of with Cyclic Loess slightly improved the DDA-DIA correlation over median normalization for DIA datasets, but not for DDA dataset relative to default MaxQuant normalization. Overall, the DIA SILAC approach improved both protein detection and biological significance over conventional DDA SILAC.

2023-12-19 | PXD045318 | Pride

Viral Detection Microarray Analysis of Unknown Tropical Febrile Illness Cases

Project description:This study aimed to use pan-viral detection microarrays to identify viruses in serum from cases of acute pediatric febrile illness in a tropical setting. Patient clinical data and serum samples were collected between 2005 and 2009 as part of an ongoing pediatric dengue virus study at the Hospital Infantil Manuel de Jesús Rivera in Managua, Nicaragua. This study focused on patients who presented with dengue-like illness but who tested negative for dengue-virus infection. We hypothesized that non-dengue viruses or previously uncharacterized viruses might be causing these illnesses. The Virochip microarray is capable of detecting known viruses and discovering novel viruses. This series includes 153 arrays corresponding to 148 cases and 5 HeLa controls. Keywords: viral detection, tropical febrile illness, dengue virus, Nicaragua, Virochip

2011-12-31 | GSE28142 | GEO

Exploring the diversity and antibiogram of the soil around a tertiary care hospital and a university precinct in southern In-dia: A pilot study

Project description:This study identified and compared the bacterial diversity and the antimicrobial resistance profile of clinically relevant isolates around a newly developed hospital and university precinct

2024-02-27 | GSE225419 | GEO

Elstera litoralis strain:Dia-1

Project description:Elstera litoralis strain:Dia-1 Genome sequencing and assembly

| PRJNA278930 | ENA

Serum proteome profiles in patients treated with targeted temperature management after out-of-hospital cardiac arrest

Project description:This pilot study aimed to investigate serum proteome profiles from unconscious patients admitted to hospital after out-of-hospital cardiac arrest according to temperature treatment and neurological outcome.

2023-10-24 | PXD040592 | Pride

scRNAseq RAT DIA WT and DMD 12months

Project description:scRNAseq RAT DIA WT and DMD 12months

| PRJNA814255 | ENA

Viral Detection Microarray Analysis of Unknown Tropical Febrile Illness Cases

2011-12-31 | E-GEOD-28142 | biostudies-arrayexpress

ProteomicAnalysis(DIA)ofmuscleinvasivebladdercancerpatient-derivedxenografts

Project description:Accesstoproteomicfiles(DIA)ofMIBCpatient-derivedxenografts(N=8)

| EGAD00010002512 | EGA

Hospital Microbiome

Project description:Hospital Microbiome

| PRJEB31632 | ENA