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Metaproteomics, the study of the collective proteome within a microbial ecosystem, has substantially grown over the past few years. This growth comes from the increased awareness that it can powerfully supplement metagenomics and metatranscriptomics analyses. Although metaproteomics is more challeng...
ORGANISM(S): Escherichia Coli (ncbitaxon:562) Homo Sapiens (ncbitaxon:9606) 
2022-06-08 | MSV000089620 | MassIVE
Mutational signatures of colorectal cancers according to distinct computational workflows
Comparison of in-solution and single-pot, solid-phase-enchanced sample preparation (SP3) sample processing workflows on HeLa cell samples, using different lysis buffers based on SDS and guanidine hydrochloride, for optimal analysis by liquid chromatography mass spectrometry (LC-MS)
ORGANISM(S): Homo sapiens (Human) 
2022-08-12 | PXD031918 | Pride
Affinity ligands such as antibodies are widely used in (bio)medical research for purifying proteins from complex biological samples. These ligands are generally immobilized onto solid supports which facilitate the separation of captured protein from sample matrix. Adsorptive microtiter plates are co...
ORGANISM(S): Murine leukemia virus isolates 
2021-11-25 | PXD027530 | Pride
In this project we asses 5 different sample processing workflows for mass spectrometry based plasma proteomics and compare the results with a neat plasma workflow. The workflows evaluated includes protocols for abundant protein depletion (Top14 most abundant protein depletion and protein precipitati...
ORGANISM(S): Homo sapiens (Human) 
2026-05-04 | PXD070324 | Pride
Systematic assessment of RNA-Seq experimental workflows for plasma cell-free transcriptome profiling
Evaluation of concentration and extraction workflows for enhanced bacterial 16S rRNA profiling of urban wastewater samples
Preprocessing data in a reproducible and robust way is one of the current challenges in untargeted metabolomics workflows. Data curation in liquid chromatography-mass spectrometry (LC-MS) involves the removal of unwanted features (retention time; m/z pairs) to retain only high-quality data for subse...
2020-11-21 | MTBLS1919 | MetaboLights
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