Evidence map›Paper›PMID 37968584›Full record

ArticleClinical proteomics2023

Comparison of in-gel and in-solution proteolysis in the proteome profiling of organ perfusion solutions.

Corinna M Snashall, Chris W Sutton, Letizia Lo Faro, Carlo Ceresa, Rutger Ploeg, Sadr Ul Shaheed

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

5 citing papers in PubMed, 13 citations in OpenAlex.

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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

6 authors at 5 institutions in 2 countries.

Corinna M SnashallNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Chris W SuttonInstitute of Cancer Therapeutics, University of Bradford, Bradford, UK.
Letizia Lo FaroNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Carlo CeresaNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Rutger PloegNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
Sadr Ul ShaheedNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK. Sadr.shaheed@nds.ox.ac.uk.
Leiden University Medical Center · NLOxford Health NHS Foundation Trust · GBUniversity of Bradford · GBUniversity of Oxford · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe organ perfusion solution (perfusate), collected at clinically and temporally significant stages of the organ preservation and transplantation process, provides a valuable insight into the biological status of an organ over time and prior to reperfusion (transplantation) in the recipient. The objective of this study was to assess two bottom-up proteomics workflows for the extraction of tryptic peptides from the perfusate. EXPERIMENTAL

designTwo different kinds of perfusate samples from kidney and liver trials were profiled using liquid chromatography-mass spectrometry (LC-MS/MS). The preparation of clean peptide mixtures for downstream analysis was performed considering different aspects of sample preparation; protein estimation, enrichment, in-gel and urea-based in-solution digestion.

resultsIn-solution digestion of perfusate allowed identification of the highest number of peptides and proteins with greater sequence coverage and higher confidence data in kidney and liver perfusate. Key pathways identified by gene ontology analysis included complement, coagulation and antioxidant pathways, and a number of biomarkers previously linked to ischemia-reperfusion injury were also observed in perfusate.

conclusionsThis study showed that in-solution digestion is a more efficient method for LC-MS/MS analysis of kidney and liver organ perfusion solutions. This method is also quicker and easier than in-gel digestion, allowing for greater sample throughput, with fewer opportunities for experimental error or peptide loss.

Indexed as

KidneyLiverOrgan transplantationPerfusateProteomics

Identifiers

PMID37968584
PMCPMC10648346
OpenAlexW4388704440

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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.