Evidence map›Paper›PMID 35199955›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

The Intriguing Landscape of Single-Cell Protein Analysis.

Haiyang Xie, Xianting Ding

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
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  7. Mapping Nanoscale-To-Single-Cell Phosphoproteomic Landscape by Chip-DIA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  10. Review
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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

2 authors.

Haiyang XieState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.
Xianting DingState Key Laboratory of Oncogenes and Related Genes, Institute for Personalized Medicine, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, 200030, China.ORCID 0000-0002-1549-3499

Funding

NSFC Projects 22077079NSFC Projects 31971327NSFC Projects 81871448NSFC Projects T2122002Shanghai Agriculture Applied Technology Development Program Project G20180101Shanghai Clinical Medical Research Center Project 19MC1910800Shanghai Jiao Tong University Projects 19X190020154Shanghai Jiao Tong University Projects 2019 SJTU-UsydShanghai Jiao Tong University Projects 2020 SJTU-HUJIShanghai Jiao Tong University Projects Agri-X20200101Shanghai Jiao Tong University Projects SD0820016Shanghai Jiao Tong University Projects SL2020MS026Shanghai Jiao Tong University Projects YG2016MS60Shanghai Jiao Tong University Projects YG2016QN24Shanghai Jiao Tong University Projects YG2021ZD19Shanghai Jiao Tong University Projects ZH2018ZDA01Shanghai Municipal Health Commission Project 2019CXJQ03
6 · The paper itself

Abstract

Profiling protein expression at single-cell resolution is essential for fundamental biological research (such as cell differentiation and tumor microenvironmental examination) and clinical precision medicine where only a limited number of primary cells are permitted. With the recent advances in engineering, chemistry, and biology, single-cell protein analysis methods are developed rapidly, which enable high-throughput and multiplexed protein measurements in thousands of individual cells. In combination with single cell RNA sequencing and mass spectrometry, single-cell multi-omics analysis can simultaneously measure multiple modalities including mRNAs, proteins, and metabolites in single cells, and obtain a more comprehensive exploration of cellular signaling processes, such as DNA modifications, chromatin accessibility, protein abundance, and gene perturbation. Here, the recent progress and applications of single-cell protein analysis technologies in the last decade are summarized. Current limitations, challenges, and possible future directions in this field are also discussed.

Indexed as

ProteomicsSingle-Cell AnalysisChromatinMass SpectrometryPrecision MedicineChromatinprotein analysissingle cell protein analysissingle-cell proteomics

Identifiers

PMID35199955
PMCPMC9036017

What OpenQuestion holds

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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.