Evidence map›Paper›PMID 39716002›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Proteomic Analysis of Biological Fluids.

Kyle Burk, Kevin Legg, Phillip Danielson, Glendon Parker

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kyle BurkDepartment of Environmental Toxicology, The University of California, Davis, Davis, CA, USA.ORCID 0009-0008-3018-8688
Kevin LeggProtein Metrics, Cupertino, CA, USA.ORCID 0000-0002-0249-1785
Phillip DanielsonThe University of Denver, Department of Biological Sciences, Denver, CO, USA.ORCID 0000-0002-0183-5371
Glendon ParkerDepartment of Environmental Toxicology, The University of California, Davis, Davis, CA, USA. gjparker@ucdavis.edu.ORCID 0000-0003-2937-5853

Funding

National Institute of Justice 2020-DQ-BX-0015
6 · The paper itself

Abstract

Biological fluids are proteinaceous liquids or suspensions released through different body orifices or through penetration of the skin. These fluids are the result of multiple tissues and cell types and contain extensive, highly complex, and dynamic protein populations that reflect both the transcriptional program of the originating cells and a record of the individual's health status. Body fluids are readily accessible to clinicians and researchers, and as such proteomic analyses are an important component of clinical studies, fertility studies, oral health studies, and forensic investigations. Current mass spectrometry (MS) datasets have a dynamic range of up to six orders of magnitude and are as diverse as the originating tissue types. Mass spectrometry has the potential to provide information across a wide range of applications, including basic research into human biology and pathology, biochemical analysis of protein function, biomarker discovery and detection, as well as forensic investigations wherein investigators interpret a protein profile to identify the body site origin of a biological fluid. The method below describes a specimen processing workflow that is flexible in terms of biological fluid type, sample state (e.g., a dried sample extracted from evidence or neat fluid), and level of degradation. The method described here is compatible with both high sensitivity shotgun liquid chromatography-mass spectrometry LC/MS analysis and targeted (qualitative or quantitative) MS-based analysis of biomarker candidates.

Indexed as

Body FluidsProteomicsBiomarkersChromatography, LiquidHumansMass SpectrometryProteomeSpecimen HandlingTandem Mass SpectrometryBiomarkersProteomeBiological fluidBodily fluidForensic proteomicsPeptide biomarkerQuantitative proteomicsSalivaSemenSerumSexual assault evidenceUrineVaginal fluid

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.