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MetabolomicsSequential lipidomic, metabolomic, and proteomic analyses of serum, liver, and heart tissue specimens from peroxisomal biogenesis factor 11α knockout mice
Peroxisomes are versatile single membrane-enclosed cytoplasmic organelles, involved in reactive oxygen species (ROS) and lipid metabolism and diverse other metabolic processes. Peroxisomal disorders result from mutations in Pex genes-encoded proteins named peroxins (PEX proteins) and single peroxiso...
2022-02-02 | MTBLS1887 | MetaboLights
MetabolomicsMetabolomic and Proteomic Profiling of the Antimicrobial Potentials from Lactobacillus johnsonii KD1 Cell-Free Supernatant against Foodborne Pathogenic Bacteria

This study characterized functions and metabolic profiles of cell-free supernatants (CFS) from Lactobacillus johnsonii KD1 against three foodborne pathogens: the Gram-negative bacteria Vibrio parahaemolyticus 3HP and Salmonella enterica serovar ...

2026-09-24 | MTBLS14550 | MetaboLights
ProteomicsClinical-proteomic classification and precision treatment strategy of chordoma
Clinical-proteomic classification and precision treatment strategy of chordoma
ORGANISM(S): Homo Sapiens 
2024-07-04 | PXD053631 |
ProteomicsProteomic Analysis of Xinjiang Black Bee's Royal Jelly Using the Osboren Classification Method
Royal jelly has long been recognized as health food, with a high content of proteins. These proteins play important roles in honeybee caste and human health, but the proteomic analysis of those low-abundance proteins in royal jelly is always a challenge. Herein, we used the Osboren classification me...
ORGANISM(S): Apis mellifera (Honeybee) 
2024-08-09 | PXD023315 | Pride
Oyal jelly  proteome  osboren classification  low-abundance protein 
ProteomicsSuper-SILAC Allows Classification of Diffuse Large B-cell Lymphoma Subtypes by Their Protein Expression Profiles
Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Currently this classification relies mainly on histological assessment, but gene expression analysis bymicroarrays has shown great promise. Here we show that high accuracy, quantita...
ORGANISM(S): Homo Sapiens (ncbitaxon:9606) 
2016-03-10 | MSV000079572 | MassIVE
ProteomicsUrinary Proteomic Spectra Analysis Based on Machine Learning for Classification of Kidney Diseases
To extract urinary proteome spectral features based on advanced mass spectrometer and machine learning algorithms, it could get more accurate reporting results for disease classification. We tried to establish a novel diagnosis model of kidney diseases by combining machine learning XGBoost algorithm...
ORGANISM(S): Homo sapiens (Human) 
2022-09-13 | PXD018996 | Pride
Kidney disease classification  urinary proteomics  machine learning algorithm  diagnosis 
ProteomicsSuper-SILAC Allows Classification of Diffuse Large B-cell Lymphoma Subtypes by Their Protein Expression Profiles
Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Currently this classification relies mainly on histological assessment, but gene expression analysis bymicroarrays has shown great promise. Here we show that high accuracy, quantita...
ORGANISM(S): Homo sapiens (Human) 
2015-04-24 | PXD002098 | Pride
Classification Lymphoma Super silac Dlbcl 
ProteomicsClinical Proteomics of Breast Cancer Unravels a Novel Layer of Breast Cancer Classification
Breast cancer classification has been in the focus of numerous large worldwide efforts, analyzing the molecular basis of breast cancer subtypes, aiming to associate them with clinical outcome and improve the current diagnostic routine. Genomic and transcriptomic profiles of breast cancer have been w...
ORGANISM(S): Homo sapiens (Human) 
2019-07-29 | PXD009766 | Pride
Lc-ms Proteomics Breast cancer classification Breast cancer subtypes 
UnknownClinical-proteomic classification and precision treatment strategy of chordoma.
Not available
S-EPMC11513834 | biostudies-literature
UnknownConstruction of protein profile classification model and screening of proteomic signature of acute leukemia.
Not available
S-EPMC4203170 | biostudies-literature
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