Evidence map›Paper›PMID 39396304›Full record

ArticleAnalytica chimica acta2024

Parallel sample processing for mass spectrometry-based single cell proteomics.

Jing Wang, Bo Xue, Olanrewaju Awoyemi, Herbi Yuliantoro, Lihini Tharanga Mendis, Amanda DeVor, Stephen J Valentine, Peng Li

Abstract read
In one paragraph

Article in Analytica chimica acta, 2024. 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. 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

8 authors.

Jing WangC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Bo XueShared Research Facilities, West Virginia University, Morgantown, WV, USA.
Olanrewaju AwoyemiC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Herbi YuliantoroC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Lihini Tharanga MendisC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Amanda DeVorC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Stephen J ValentineC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA.
Peng LiC. Eugene Bennett Department of Chemistry, West Virginia University, Morgantown, WV, USA. Electronic address: peng.li@mail.wvu.edu.

Funding

Development of VSSI-probe technology for in situ probing biological systems using mass spectrometryR01GM135432 · NIGMS · WEST VIRGINIA UNIVERSITY · PI LI, PENG · 2019 to 2023
$1.7M
NIGMS NIH HHS R01 GM135432
6 · The paper itself

Abstract

backgroundSingle cell mass spectrometry (scMS) has shown great promise for label free proteomics analysis recently. To present single cell samples for proteomics analysis by MS is not a trivial task. Existing methods rely on robotic liquid handlers to scale up sample preparation throughput. The cost associated with specialized equipment hinders the broad adoption of these workflows, and the sequential sample processing nature limits the ultimate throughput.

resultsIn this work, we report a parallel sample processing workflow that can simultaneously process 10 single cells without the need of robotic liquid handlers for scMS. This method utilized 3D printed microfluidic devices to form reagent arrays on a glass slide, and a magnetic beads-based streamlined sample processing workflow to present peptides for LC-MS detection. We optimized key operational parameters of the method and demonstrated the quantification consistency among 10 parallel processed samples. Finally, the utility of the method in differentiating cell lines and studying the proteome change induced by drug treatment were demonstrated. SIGNIFICANCE: The present method allows parallel sample processing for single cells without the need of expensive liquid handlers, which has great potential to further improve throughput and decrease the barrier for single cell proteomics.

Indexed as

Mass SpectrometryProteomicsSingle-Cell AnalysisChromatography, LiquidHumansLab-On-A-Chip DevicesPeptidesPeptides

Identifiers

PMID39396304
PMCPMC11471953

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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.