ArticleNature protocols2016
Label-free quantification in ion mobility-enhanced data-independent acquisition proteomics.
Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06992453 (Disentangling Microbiome Engraftment by Multi-omics of the Gut Ecosystem During Fecal Transplant), which is not on this map. Cited by 172 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Disentangling Microbiome Engraftment by Multi-omics of the Gut Ecosystem During Fecal Transplant
Who cites it
172 citing papers in PubMed.
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- Loss of ADAM15 prevents necroptosis induction by partial RIPK1 degradation due to enhanced TNF-R1 surface expression and basal caspase-8 activation.Cell communication and signaling : CCS · 2025Article
- Proteome Signature of Alzheimer-Like Phenotypes in Frontal Cortices From Young and Old Individuals With Down Syndrome.Molecular neurobiology · 2025Article
- Urinary Multi-Omics Profiling Reveals Systemic Molecular Alterations in Progressive External Ophthalmoplegia.International journal of molecular sciences · 2025Article
- Development of a Human Preclinical Platform for the Identification of Neuroprotective Compounds.The European journal of neuroscience · 2025Article
112 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unbiased data-independent acquisition (DIA) strategies have gained increased popularity in the field of quantitative proteomics. The integration of ion mobility separation (IMS) into DIA workflows provides an additional dimension of separation to liquid chromatography-mass spectrometry (LC-MS), and it increases the achievable analytical depth of DIA approaches. Here we provide a detailed protocol for a label-free quantitative proteomics workflow based on ion mobility-enhanced DIA, which synchronizes precursor ion drift times with collision energies to improve precursor fragmentation efficiency. The protocol comprises a detailed description of all major steps including instrument setup, filter-aided sample preparation, LC-IMS-MS analysis and data processing. Our protocol can handle proteome samples of any complexity, and it enables a highly reproducible and accurate precursor intensity-based label-free quantification of up to 5,600 proteins across multiple runs in complete cellular lysates. Depending on the number of samples to be analyzed, the protocol takes a minimum of 3 d to complete from proteolytic digestion to data evaluation.
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