Evidence map›Paper›PMID 40717221›Full record

ReviewExpert review of proteomics2025

Sample preparation and cleanup methods for clinical top-down proteomics.

Amal Mohamed Kamal, Amy Carfagno, Cynthia Nagy, Luca Fornelli

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

4 authors.

Amal Mohamed KamalDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.
Amy CarfagnoSchool of Biological Sciences, University of Oklahoma, Norman, OK, USA.
Cynthia NagySchool of Biological Sciences, University of Oklahoma, Norman, OK, USA.
Luca FornelliDepartment of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA.ORCID 0000-0001-6334-1046

Funding

A multi-level mass spectrometry pipeline for the analysis of whole proteoforms and their complexesR35GM147397 · NIGMS · UNIVERSITY OF OKLAHOMA · PI Luca Fornelli · 2022 to 2026
$1.9M
NIGMS NIH HHS R35 GM147397
6 · The paper itself

Abstract

introductionThe investigation of different proteoforms in clinical samples is a promising approach to elucidate the molecular mechanisms of diseases. Furthermore, proteoform analysis holds great potential for identifying disease-specific biomarkers and targets for personalized medicine. Despite advances in top-down proteomics (TDP) instrumentation, sample preparation and cleanup remain challenging. Work in this area has focused on developing rapid, cost-effective, and less-labor-intensive protocols aimed at minimizing the introduction of artefactual modifications to endogenous proteoforms or bias in proteoform recovery during sample processing. AREA COVERED: To inform the selection of sample processing approaches in clinical TDP, this review summarizes state-of-the-art targeted (i.e. affinity and non-affinity-based enrichment) and untargeted (i.e. gel-based fractionation) sample preparation protocols. In addition, currently available offline and online sample cleanup procedures (e.g. dialysis, solid-phase extraction, filter-aided sample preparation, precipitation, and solid-phase protein preparation) are reviewed, highlighting their effectiveness for desalting and/or detergent removal. EXPERT OPINION: TDP demonstrates great potential in the clinical setting due to its ability to capture disease-specific proteoforms commonly overlooked in traditional diagnostic assays. The establishment of standardized guidelines for reproducible clinical TDP workflows is essential to leverage advances in sample preparation techniques and analytical instrumentation to facilitate wider adoption of TDP for clinical applications.

Indexed as

ProteomicsSpecimen HandlingBiomarkersHumansBiomarkersClinical proteomicsFilter-aided sample preparationNanoparticlePrecipitationserial size exclusion chromatographysingle-pot solid phase-enhanced sample preparationSolid-phase extractionTop-down proteomics

Identifiers

PMID40717221
PMCPMC12433189

What OpenQuestion holds

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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.