Evidence map›Paper›PMID 40324992›Full record

ArticleNature communications2025

Limiting the impact of protein leakage in single-cell proteomics.

Andrew Leduc, Yanxin Xu, Gergana Shipkovenska, Zhixun Dou, Nikolai Slavov

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Andrew LeducDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA, USA. leduc.an@northeastern.edu.
Yanxin XuCenter for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.
Gergana ShipkovenskaCenter for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.
Zhixun DouCenter for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID http://orcid.org/0000-0002-3069-3907
Nikolai SlavovDepartments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA, USA. nslavov@northeastern.edu.ORCID http://orcid.org/0000-0003-2035-1820

Funding

Single-cell proteomic identification of novel markers of senescenceUH3CA268117 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOU, ZHIXUN, RAJAGOPAL, JAYARAJ · 2023 to 2024
$1.9M
Molecular and metabolic influences on the activation of monocytes and macrophages at single-cell resolutionR35GM148218 · NIGMS · NORTHEASTERN UNIVERSITY · PI Nikolai Slavov · 2023 to 2026
$1.5M
Collaborative Research: DMS/NIGMS 2: Methods for Systematic Analysis of Post-transcriptional Regulation in Single CellsR01GM144967 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI FRANKS, ALEXANDER, SLAVOV, NIKOLAI · 2021 to 2024
$779k
NCI NIH HHS UH3 CA268117NIGMS NIH HHS R01 GM144967NIGMS NIH HHS R35 GM148218U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) UH3CA268117U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM144967U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R35GM148218
6 · The paper itself

Abstract

Limiting artifacts during sample preparation can significantly increase data quality in single-cell proteomics experiments. Towards this goal, we characterize the impact of protein leakage by analyzing thousands of primary single cells from mouse trachea. The cells were prepared either fresh immediately after dissociation or first cryopreserved and prepared at a later date. We directly identify permeabilized cells by imaging a cell permeable dye and use the data to define a signature for protein leakage. This signature is similar across diverse cell types and reflects increased leakage propensities for cytosolic and nuclear proteins compared to membrane and mitochondrial proteins. A classifier based on the signature allowed for the accurate identification of permeabilized cells across cell types and species. The classifier is integrated into QuantQC ( scp.slavovlab.net/QuantQC ) to support its application to diverse samples and workflows.

Indexed as

ProteinsProteomicsSingle-Cell AnalysisAnimalsMiceMice, Inbred C57BLProteomeTracheaProteinsProteome

Identifiers

PMID40324992
PMCPMC12053607

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.