Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Proteotyping-Based Differentiation of Haemophilus influenzae and Haemophilus aegyptius Using MALDI-TOF MS and LC-MS/MS

ABSTRACT: Accurate differentiation between closely related Haemophilus species is essential for clinical diagnosis. This study presents a high-resolution proteotyping workflow integrating whole-cell MALDI-TOF MS, nanoLC-MS/MS, and comparative genomics to distinguish H. influenzae and H. aegyptius. We identified 31 robust protein biomarkers validated by LC-MS/MS peptide mapping and comparative genomics, providing enhanced diagnostic resolution for closely related pathogens.

INSTRUMENT(S): MALDI Biotyper

ORGANISM(S): Haemophilus Influenzae (ncbitaxon:727) Haemophilus Aegyptius (ncbitaxon:197575)

SUBMITTER: Roger Karlsson

PROVIDER: MSV000099548 | MassIVE | Mon Oct 20 22:11:00 GMT+01:00 2025

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Identification of Trichuris spp. using MALDI-TOF MS

Project description:Identification of different Trichuris spp. using MALDI-TOF MS

| PRJEB50468 | ENA

Examination of protein expression patterns of closely related Salmonella serovars using 2D GE and MS/MS

Project description:The objective of the present investigation was to consider the level of variation in the protein expression patterns of closely related Salmonella serovars, in order to search for protein factors with levels of expression or posttranslational modifications characteristic for each serovar. For the comparative expression analysis we have utilised classic 2D GE approach which revealed several proteins with serovar specific expression as well as proteins which do not alter their expression levels between serovars and strains. The proteins of interest were identified using LC/MS/MS. Keywords: 2D GE, MS/MS

2008-02-27 | GSE8931 | GEO

Examination of protein expression patterns of closely related Salmonella serovars using 2D GE and MS/MS

2008-02-26 | E-GEOD-8931 | biostudies-arrayexpress

WGS evaluation of MALDI-TOF MS for Streptococcus suis

Project description:Whole-genome sequencing evaluation of MALDI-TOF MS as a species identification tool for Streptococcus suis

| PRJEB45445 | ENA

Preliminary study of identification of Trichuris suis by MALDI-TOF MS

Project description:Preliminary study of identification of Trichuris suis by MALDI-TOF MS

| PRJEB47832 | ENA

MALDI-TOF MS in Prenatal Genomics.

Project description:Prenatal diagnosis aims either to provide the reassurance to the couples at risk of having an affected child by timely appropriate therapy or to give the parents a chance to decide the fate of the unborn babies with health problems. Invasive prenatal diagnosis (IPD) is accurate, however, carrying a risk of miscarriage. Non-invasive prenatal diagnosis (NIPD) has been developed based on the existing of fetal genetic materials in maternal circulation; however, a minority fetal DNA in majority maternal background DNA hinders the detections of fetal traits. Different protocols and assays, such as homogenous MassEXTEND (hME), single allele base extension reaction (SABER), precise measuring copy number variation of each allele, and quantitative methylation and expression analysis using the high-throughput sensitive matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS), allow NIPD for single gene disorders, fetal blood group genotyping and fetal aneuploidies as well as the development of fetal gender-independent biomarkers in maternal circulation for management of pathological pregnancies. In this review, we summarise the use of MALDI-TOF MS in prenatal genomics.

| S-EPMC2941831 | biostudies-literature

Examination of protein expression patterns of closely related Salmonella serovars using 2D GE and MS/MS

Project description:Examination of protein expression patterns of closely related Salmonella serovars using 2D GE and MS/MS

| PRJNA102343 | ENA

MALDI imaging and LC-MS/MS-based fast, high-resolution spatial proteomics demonstrate cellular heterogeneity in situ

Project description:MALDI imaging and LC-MS/MS-based fast, high-resolution spatial proteomics demonstrate cellular heterogeneity in situ

| PRJNA1014120 | ENA

Rapid MALDI-TOF MS identification of commercial truffles.

Project description:Truffles are edible mushrooms with similar morphological characteristics, that make it difficult to distinguish between highly prized truffles (such as the Périgord black T. melanosporum) and inexpensive truffles (such as the Asian Black T. indicum). These biological and economic features have led to several misidentifications and/or fraudulent profit in the truffle markets. In this paper, we investigate Matrix-assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) biotyping to identify 34 commercial fresh truffles from Europe and Asia. The MALDI-TOF MS clustering rapidly distinguished seven Tuber species identified by ITS phylogenetic analysis. The tasty T. melanosporum was clearly differentiated from the Chinese and less expensive truffles. These cheaper mushrooms were marketed as T. indicum but corresponded to a mix of three species. In total, the method confirmed misidentifications in 26% of commercial specimens. Several unknown blind-coded truffles were rapidly identified, with scores >= 2, using the Bruker Biotyper algorithm against MS databases. This study demonstrates that MALDI-TOF MS is a reliable, rapid and cheaper new tool compared with molecular methods for the identification of truffle species and could be used to control frauds in the truffle markets. It could also be useful for the certification of truffle-inoculated seedlings and/or diversity in forest ecosystems.

| S-EPMC6881316 | biostudies-literature

Optimized MALDI-TOF MS Strategy for Characterizing Polymers.

Project description:In recent years, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) plays an essential role in the analysis of polymers. To acquire a more reliable strategy for polymer profiling, we characterized four representative polymers including polyethylene glycol 6000, polyvinylpyrrolidone K12, polymer polyol KPOP-5040, and polyether polyol DL-4000. The preparation methods of these four polymer samples have been optimized from six aspects, including matrix, cationization reagent, solvent, mixing ratio of cationization reagent to polymer, mixing ratio of matrix to polymer, and laser intensity. After investigating the effects of seven commonly used matrices on the ionization efficiency of four polymers, trans-2-[3-(4-tert-butylphenyl)-2-methyl-2-propenylidene] malononitrile (DCTB) was found to be the only matrix suitable for the analysis of all the four polymers. Our experimental results suggested that different polymers showed a certain preference for different cationization reagents. For example, the polymer polyol KPOP-5040 was suitable for sodium iodide as the cationization reagent, while polyvinylpyrrolidone K12 was more suitable for silver trifluoroacetate (AgTFA). For the choice of solvent, tetrahydrofuran is a reagent with rapid evaporation and a wide range of dissolution which can achieve the best results for the analysis of four polymers. The optimized method was successfully applied to the identification of DSPE-PEG-NH2 with different polymerized degrees. This MALDI-TOF strategy potentially provided the supplementary function through the polymer's application in biomedical and visible probing.

| S-EPMC8264446 | 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