Evidence map›Paper›PMID 39805815›Full record

ArticleNature communications2025

Robust collection and processing for label-free single voxel proteomics.

Reta Birhanu Kitata, Marija Velickovic, Zhangyang Xu, Rui Zhao, David Scholten, Rosalie K Chu, Daniel J Orton, William B Chrisler, Tong Zhang, Jeremy V Mathews and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Reta Birhanu KitataBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-8973-7679
Marija VelickovicEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0003-3664-5719
Zhangyang XuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-0314-9244
Rui ZhaoEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
David ScholtenDepartment of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Rosalie K ChuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-7428-7647
Daniel J OrtonBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-0253-6859
William B ChrislerBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Tong ZhangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Jeremy V MathewsPathology Core Facility, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Benjamin M BumgarnerDepartment of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, 32611, USA.
Demirkan B GurselPathology Core Facility, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Ronald J MooreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0003-2806-2855
Paul D PiehowskiEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-5108-2227
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-9529-6550
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-2381-2349
Huiping LiuDepartment of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.ORCID http://orcid.org/0000-0003-4822-7995
Clive H WasserfallDepartment of Pathology, Immunology, and Laboratory Medicine, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL, 32611, USA.ORCID http://orcid.org/0000-0002-3522-8932
Chia-Feng TsaiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-6514-6911
Tujin ShiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA. tujin.shi@pnnl.gov.ORCID http://orcid.org/0000-0002-5592-3588

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
CARCINOGENESIS TRAINING PROGRAMT32CA009560 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Kathleen Janee Green · 1986 to 2026
$8.4M
Center for Advanced Multi-Omic Characterization of CancerU24CA271012 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI Tao Liu · 2022 to 2026
$6.6M
A scalable mass spectrometry platform for proteome mapping of brain tissuesRF1MH128885 · NIMH · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SHI, TUJIN · 2021 to 2021
$3.7M
Molecular mechanisms underlying circulating tumor cell aggregationR01CA245699 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LIU, HUIPING · 2020 to 2024
$2.0M
Targeted proteomics technology for accurate quantitative single-cell proteomicsR01GM139858 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SHI, TUJIN · 2021 to 2024
$1.6M
A streamlined platform for phosphoproteome mapping of human tissuesUH3CA256967 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, HUIPING, SHI, TUJIN · 2022 to 2023
$1.2M
NCI NIH HHS R01 CA245699NCI NIH HHS T32 CA009560NCI NIH HHS U24 CA271012NCI NIH HHS UH3 CA256967NIGMS NIH HHS P41 GM103493NIGMS NIH HHS R01 GM139858NIMH NIH HHS RF1 MH128885U.S. Department of Health & Human Services | National Institutes of Health (NIH) RF1MH128885U.S. Department of Health & Human Services | National Institutes of Health (NIH) UH3CA256967
6 · The paper itself

Abstract

With advanced mass spectrometry (MS)-based proteomics, genome-scale proteome coverage can be achieved from bulk tissues. However, such bulk measurement lacks spatial resolution and obscures tissue heterogeneity, precluding proteome mapping of tissue microenvironment. Here we report an integrated wet collection of single microscale tissue voxels and Surfactant-assisted One-Pot voxel processing method termed wcSOP for robust label-free single voxel proteomics. wcSOP capitalizes on buffer droplet-assisted wet collection of single voxels dissected by LCM to the tube cap and SOP voxel processing in the same collection cap. This method enables reproducible, label-free quantification of approximately 900 and 4600 proteins for single voxels at 20 µm × 20 µm × 10 µm (~1 cell region) and 200 µm × 200 µm × 10 µm (~100 cell region) from fresh frozen human spleen tissue, respectively. It can reveal spatially resolved protein signatures and region-specific signaling pathways. Furthermore, wcSOP-MS is demonstrated to be broadly applicable for OCT-embedded and FFPE human archived tissues as well as for small-scale 2D proteome mapping of tissues at high spatial resolutions. wcSOP-MS may pave the way for routine robust single voxel proteomics and spatial proteomics.

Indexed as

ProteomeProteomicsHumansMass SpectrometrySpleenProteome

Identifiers

PMID39805815
PMCPMC11730317

What OpenQuestion holds

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Registered trials

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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.