Evidence map›Paper›PMID 41821120›Full record

ReviewGenome biology2026

Blood proteomics: insights from public data.

Asier Larrea-Sebal, Chengxin Dai, Alejandro J Brenes, Kathrin Korff, Benjamin A Neely, Philipp E Geyer, Laura F Dagley, Richard D Unwin, Alexandra Naba, Michael J MacCoss and 5 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Genome biology, 2026. 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

15 authors.

Asier Larrea-SebalEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK.
Chengxin DaiState Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
Alejandro J BrenesCentre for Inflammation Research, Institute for Regeneration and Repair, University of Edinburgh, Edinburgh, UK.
Kathrin KorffDepartment of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, 82152, Germany.
Benjamin A NeelyNational Institute of Standards and Technology - Charleston, Charleston, SC, 29412, USA.
Philipp E GeyerIons.Bio GmbH, Martinsried, 82152, Germany.
Laura F DagleyThe Walter and Eliza Hall Institute for Medical Research, Parkville, VIC, 3052, Australia.
Richard D UnwinDivision of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Alexandra NabaDepartment of Physiology and Biophysics, University of Illinois Chicago, Chicago, USA.
Michael J MacCossDepartment of Genome Sciences, University of Washington, Seattle, WA, USA.
Tiannan GuoState Key Laboratory of Medical Proteomics, School of Medicine, Affiliated Hangzhou First People's Hospital, Westlake University, Zhejiang Province, Hangzhou, China.
Eric W DeutschInstitute for Systems Biology, Seattle, WA, 98109, USA.
Cesar MartinDepartment of Biochemistry and Molecular Biology, Universidad del País Vasco UPV/EHU, Bilbao, 48080, Spain.
Jochen M SchwenkSciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Solna, Sweden. jochen.schwenk@scilifelab.se.
Yasset Perez-RiverolEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, UK. yperez@ebi.ac.uk.

Funding

Thinking outside the cell: Leveraging HuBMAP data to build the human ECM atlasU01HG012680 · NHGRI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GAO, YU, NABA, ALEXANDRA · 2022 to 2025
$2.0M
NHGRI NIH HHS U01 HG012680Wellcome TrustWellcome Trust 223745/Z/21/ZWellcome Trust, United Kingdom 208391/Z/17/Z
6 · The paper itself

Abstract

The circulating blood proteome comprises soluble and cellular components that reflect physiological and pathological states across tissues. Advances in mass spectrometry and affinity-based proteomics have improved sensitivity and throughput, enabling the generation of public blood proteomics resources. However, comprehensive assessments of these datasets remain limited. This work reviews the cellular and molecular complexity of publicly available blood proteomics data, recent methodological developments, and the complementarity of diverse data sources across the abundance range, while outlining remaining challenges for translating blood proteomics into personalized medicine.

Indexed as

Blood ProteinsProteomeProteomicsAnimalsHumansMass SpectrometryBlood ProteinsProteome

Identifiers

PMID41821120
PMCPMC12980870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.