Evidence map›Paper›PMID 38758315›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Proteomic Profiling of Samples Derived from a Murine Model Following Cryptococcus neoformans Infection.

Ben Muselius, Antoine Bodein, Florence Roux-Dalvai, Arnaud Droit, Jennifer Geddes-McAlister

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Insights from Mass Spectrometry-Based Proteomics onJournal of fungi (Basel, Switzerland) · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ben MuseliusMolecular and Cellular Biology Department, University of Guelph, Guelph, ON, Canada.
Antoine BodeinComputational Biology Laboratory, CHU de Québec - Université Laval Research Center, QC, Canada.
Florence Roux-DalvaiComputational Biology Laboratory, CHU de Québec - Université Laval Research Center, QC, Canada.
Arnaud DroitComputational Biology Laboratory, CHU de Québec - Université Laval Research Center, QC, Canada.
Jennifer Geddes-McAlisterMolecular and Cellular Biology Department, University of Guelph, Guelph, ON, Canada. jgeddesm@uoguelph.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteomic profiling provides in-depth information about the regulation of diverse biological processes, activation of and communication across signaling networks, and alterations to protein production, modifications, and interactions. For infectious disease research, mass spectrometry-based proteomics enables detection of host defenses against infection and mechanisms used by the pathogen to evade such responses. In this chapter, we outline protein extraction from organs, tissues, and fluids collected following intranasal inoculation of a murine model with the human fungal pathogen Cryptococcus neoformans. We describe sample preparation, followed by purification, processing on the mass spectrometer, and a robust bioinformatics analysis. The information gleaned from proteomic profiling of fungal infections supports the detection of novel biomarkers for diagnostic and prognostic purposes.

Indexed as

CryptococcosisCryptococcus neoformansDisease Models, AnimalProteomicsAnimalsBiomarkersComputational BiologyMass SpectrometryMiceProteomeBiomarkersProteomeBioinformaticsCryptococcosisCryptococcus neoformansMass spectrometry-based proteomicsMurine model

Identifiers

PMID38758315

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.