Evidence map›Paper›PMID 39716003›Full record

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

Analyzing Various Biological Fluids with a Single Automated Proteomic Workflow for Biomarker Discovery.

Ane Laura Pedersen, Marion Ernest, Michael Affolter, Loïc Dayon

Abstract read
PubMed Publisher
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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Ane Laura PedersenProteomics, Bioanalytics Department, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland.
Marion ErnestProteomics, Bioanalytics Department, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland.
Michael AffolterProteomics, Bioanalytics Department, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland.
Loïc DayonProteomics, Bioanalytics Department, Nestlé Institute of Food Safety & Analytical Sciences, Nestlé Research, Lausanne, Switzerland. loic.dayon@rd.nestle.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein biomarker discovery in human biological fluids has greatly developed over the past two decades thanks to technological advances allowing deeper proteome coverage and higher sample throughput, among others. While blood samples are most commonly investigated due to their moderate ease of collection and high information content, other biological fluids such as cerebrospinal fluid (CSF) and urine are highly relevant for specific pathologies, such as brain and urologic diseases, respectively. Independently of the biofluid of interest, platforms that can robustly handle a large number of samples are essential in the discovery phase of a clinical study.We have previously described a scalable automated proteomic pipeline (ASAP

Indexed as

BiomarkersProteomicsWorkflowAnimalsBody FluidsChromatography, LiquidHumansMass SpectrometryProteomeTandem Mass SpectrometryBiomarkersProteomeAutomationBiofluidClinical researchCSFHumanIsobaric taggingMass spectrometryMilkPlasmaProteomicsSerumUrine

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.