Dataset Information
Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Orbitrap Eclipse, Orbitrap Fusion, Q Exactive
ORGANISM(S): Desulfovibrio Vulgaris Str. Hildenborough Chlamydomonas Reinhardtii Unclassified Pseudomonas Fluorescens Group Escherichia Coli Nitrososphaera Viennensis Salmonella Phage P22 Chromobacterium Violaceum Bacteria Staphylococcus Aureus Stenotrophomonas Maltophilia Thermus Thermophilus Anthracocystis Tumefaciens Salmonella Typhimurium (strain Lt2 / Sgsc1412 / Atcc 700720) Archaea Escherichia Phage M13 Enterobacteria Phage Es18 Paracoccus Denitrificans Nitrosomonas Ureae Rhizobium Leguminosarum Cupriavidus Metallidurans Pseudomonas Denitrificans (nom. Rej.) Paraburkholderia Xenovorans Unclassified Bacillus Subtilis Group Nitrosospira Multiformis Enterobacteria Phage F2 Pseudomonas Cf. Pseudoalcaligenes Alteromonas Macleodii Roseobacter
DISEASE(S): Disease Free
SUBMITTER: 
Andrew Rajczewski
LAB HEAD: Timothy J Griffin
PROVIDER: PXD054415 | Pride | 2024-12-19
REPOSITORIES: Pride
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| 20231004_145238_ASMS_Report_ConstantC.tsv | Tabular | |||
| 20231004_145238_ASMS_Report_ConstantP.tsv | Tabular | |||
| 20231010_094953_ASMS_Report_Uneven.tsv | Tabular | |||
| 20231010_135624_BasicDia_Report_ConstantC.tsv | Tabular | |||
| 20231010_135624_BasicDia_Report_ConstantP.tsv | Tabular |
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Publications
Data-Independent Acquisition Mass Spectrometry as a Tool for Metaproteomics: Interlaboratory Comparison Using a Model Microbiome.
bioRxiv : the preprint server for biology 20240922
Mass spectrometry (MS)-based metaproteomics is used to identify and quantify proteins in microbiome samples, with the frequently used methodology being Data-Dependent Acquisition mass spectrometry (DDA-MS). However, DDA-MS is limited in its ability to reproducibly identify and quantify lower abundant peptides and proteins. To address DDA-MS deficiencies, proteomics researchers have started using Data-Independent Acquisition Mass Spectrometry (DIA-MS) for reproducible detection and quantification ...[more]
