Evidence map›Paper›PMID 29941660›Full record

ArticleMolecular & cellular proteomics : MCP2018

Spatially Resolved Proteome Mapping of Laser Capture Microdissected Tissue with Automated Sample Transfer to Nanodroplets.

Ying Zhu, Maowei Dou, Paul D Piehowski, Yiran Liang, Fangjun Wang, Rosalie K Chu, William B Chrisler, Jordan N Smith, Kaitlynn C Schwarz, Yufeng Shen and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
8.0field-weighted citation impact, top 1% 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

88 citing papers in PubMed, 138 citations in OpenAlex.

  1. Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026
    Review
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  6. Integrating Spatial Proteogenomics in Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  7. Article
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  12. Spatial proteomics: technical evolution and applications in cancer research.Frontiers in cell and developmental biology · 2026
    Review
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28 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 2 countries.

Ying ZhuFrom the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354.ORCID 0000-0002-5416-0566
Maowei DouFrom the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354.
Paul D Piehowski§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.ORCID 0000-0001-5108-2227
Yiran LiangFrom the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354.
Fangjun Wang¶CAS Key Laboratory of Separation Sciences for Analytical Chemistry, National Chromatographic R&A Center, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China.ORCID 0000-0002-8118-7019
Rosalie K ChuFrom the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354.
William B Chrisler§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.
Jordan N Smith§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.
Kaitlynn C SchwarzFrom the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354.
Yufeng Shen§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.
Anil K Shukla§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.
Ronald J Moore§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.
Richard D Smith§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.ORCID 0000-0002-2381-2349
Wei-Jun Qian§Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354.ORCID 0000-0002-5393-2827
Ryan T KellyFrom the ‡Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354; ryan.kelly@pnnl.gov.ORCID 0000-0002-3339-4443
Pacific Northwest National Laboratory · USDalian Institute of Chemical Physics · CN

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
Regulatory Networks and Biomarkers of Beta-cell Dysfunction and ApoptosisUC4DK104167 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KULKARNI, ROHIT N., MATHEWS, CLAYTON E · 2014 to 2016
$2.7M
Serum protein biomarkers for predicting type 1 diabetesDP3DK110844 · NIDDK · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI QIAN, WEI-JUN · 2016 to 2016
$1.8M
Area A: In-Depth Proteome Mapping of the Tumor Microenvironment with Single-Cell ResolutionR33CA225248 · NCI · BRIGHAM YOUNG UNIVERSITY · PI KELLY, RYAN T · 2017 to 2017
$1.7M
High-throughput multidimensional bioseparations for next-generation proteomicsR21EB020976 · NIBIB · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI KELLY, RYAN T · 2016 to 2017
$400k
NCI NIH HHS R33 CA225248NIBIB NIH HHS R21 EB020976NIDDK NIH HHS DP3 DK110844NIDDK NIH HHS UC4 DK104167NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Current mass spectrometry (MS)-based proteomics approaches are ineffective for mapping protein expression in tissue sections with high spatial resolution because of the limited overall sensitivity of conventional workflows. Here we report an integrated and automated method to advance spatially resolved proteomics by seamlessly coupling laser capture microdissection (LCM) with a recently developed nanoliter-scale sample preparation system termed nanoPOTS (Nanodroplet Processing in One pot for Trace Samples). The workflow is enabled by prepopulating nanowells with DMSO, which serves as a sacrificial capture liquid for microdissected tissues. The DMSO droplets efficiently collect laser-pressure catapulted LCM tissues as small as 20 μm in diameter with success rates >87%. We also demonstrate that tissue treatment with DMSO can significantly improve proteome coverage, likely due to its ability to dissolve lipids from tissue and enhance protein extraction efficiency. The LCM-nanoPOTS platform was able to identify 180, 695, and 1827 protein groups on average from 12-μm-thick rat brain cortex tissue sections having diameters of 50, 100, and 200 μm, respectively. We also analyzed 100-μm-diameter sections corresponding to 10-18 cells from three different regions of rat brain and comparatively quantified ∼1000 proteins, demonstrating the potential utility for high-resolution spatially resolved mapping of protein expression in tissues.

Indexed as

Laser Capture MicrodissectionAnimalsAutomationBrainDimethyl SulfoxideFemaleHumansNanoparticlesPeptidesPrincipal Component AnalysisProteomeProteomicsRats, Sprague-DawleyXenograft Model Antitumor AssaysDimethyl SulfoxidePeptidesProteome

Identifiers

PMID29941660
PMCPMC6126383
OpenAlexW2810134369

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.