Evidence map›Paper›PMID 34716329›Full record

ArticleNature communications2021

High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip.

Jongmin Woo, Sarah M Williams, Lye Meng Markillie, Song Feng, Chia-Feng Tsai, Victor Aguilera-Vazquez, Ryan L Sontag, Ronald J Moore, Dehong Hu, Hardeep S Mehta and 7 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 106 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 2 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

106 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
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46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Jongmin WooEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-5569-9304
Sarah M WilliamsEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Lye Meng MarkillieEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-8275-4882
Song FengBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0003-3983-9009
Chia-Feng TsaiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Victor Aguilera-VazquezEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Ryan L SontagBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Ronald J MooreBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0003-2806-2855
Dehong HuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-3974-2963
Hardeep S MehtaEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.
Joshua Cantlon-BruceScienion AG, Volmerstraße 7, 12489, Berlin, Germany.
Tao LiuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-9529-6550
Joshua N AdkinsBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0003-0399-0700
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0002-2381-2349
Geremy C ClairBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0003-0478-8520
Ljiljana Pasa-TolicEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA.ORCID http://orcid.org/0000-0001-9853-5457
Ying ZhuEnvironmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, 99354, USA. ying.zhu@pnnl.gov.ORCID http://orcid.org/0000-0002-5416-0566

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
PNNL Proteome Characterization CenterU24CA210955 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI LIU, TAO, SMITH, RICHARD D · 2016 to 2020
$5.3M
Research Center for Spatiotemporal Lung Imaging and OmicsU01HL148860 · NHLBI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ADKINS, JOSHUA N., CARSON, JAMES PAUL · 2019 to 2023
$4.7M
Center for Lung Development Imaging and OmicsU01HL122703 · NHLBI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI ANSONG, CHARLES K, CARSON, JAMES PAUL · 2014 to 2018
$4.5M
NCI NIH HHS U24 CA210955NHLBI NIH HHS U01 HL122703NHLBI NIH HHS U01 HL148860NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Global quantification of protein abundances in single cells could provide direct information on cellular phenotypes and complement transcriptomics measurements. However, single-cell proteomics is still immature and confronts many technical challenges. Herein we describe a nested nanoPOTS (N2) chip to improve protein recovery, operation robustness, and processing throughput for isobaric-labeling-based scProteomics workflow. The N2 chip reduces reaction volume to <30 nL and increases capacity to >240 single cells on a single microchip. The tandem mass tag (TMT) pooling step is simplified by adding a microliter droplet on the nested nanowells to combine labeled single-cell samples. In the analysis of ~100 individual cells from three different cell lines, we demonstrate that the N2 chip-based scProteomics platform can robustly quantify ~1500 proteins and reveal membrane protein markers. Our analyses also reveal low protein abundance variations, suggesting the single-cell proteome profiles are highly stable for the cells cultured under identical conditions.

Indexed as

AnimalsBiomarkersCell LineEquipment DesignLab-On-A-Chip DevicesMiceNanostructuresProteinsProteomicsRAW 264.7 CellsReproducibility of ResultsSequence Analysis, RNASingle-Cell AnalysisSpecimen HandlingTandem Mass SpectrometryWorkflowBiomarkersProteins

Identifiers

PMID34716329
PMCPMC8556371

What OpenQuestion holds

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LicenceCC BY
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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.