Evidence map›Paper›PMID 40287540›Full record

ArticleCommunications biology2025

Multiplexed phosphoproteomics of low cell numbers using SPARCE.

Emily J Gaizley, Xiuyuan Chen, Amandeep Bhamra, Tariq Enver, Silvia Surinova

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
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

5 authors.

Emily J Gaizley *UCL Cancer Institute, University College London, London, UK.ORCID http://orcid.org/0000-0003-0122-552X
Xiuyuan Chen *UCL Cancer Institute, University College London, London, UK.
Amandeep BhamraUCL Cancer Institute, University College London, London, UK.
Tariq EnverUCL Cancer Institute, University College London, London, UK.
Silvia SurinovaUCL Cancer Institute, University College London, London, UK. s.surinova@ucl.ac.uk.ORCID http://orcid.org/0000-0003-0442-9595

Funding

Cancer Research UK (CRUK) A21992Cancer Research UK (CRUK) A31279
6 · The paper itself

Abstract

Understanding cellular diversity and disease mechanisms requires a global analysis of proteins and their modifications. While next-generation sequencing has advanced our understanding of cellular heterogeneity, it fails to capture downstream signalling networks. Ultrasensitive mass spectrometry-based proteomics enables unbiased protein-level analysis of low cell numbers, down to single cells. However, phosphoproteomics remains limited to high-input samples due to sample losses and poor reaction efficiencies associated with processing low cell numbers. Isobaric stable isotope labelling is a promising approach for reproducible and accurate quantification of low abundant phosphopeptides. Here, we introduce SPARCE (Streamlined Phosphoproteomic Analysis of Rare CElls) for multiplexed phosphoproteomic analysis of low cell numbers. SPARCE integrates cell isolation, water-based lysis, on-tip TMT labelling, and phosphopeptide enrichment. SPARCE outperforms traditional methods by enhancing labelling efficiency and phosphoproteome coverage. To demonstrate the utility of SPARCE, we analysed four patient-derived glioblastoma stem cell lines, reliably quantifying phosphosite changes from 1000 FACS-sorted cells. This workflow expands the possibilities for signalling analysis of rare cell populations.

Indexed as

PhosphoproteinsProteomeProteomicsCell Line, TumorGlioblastomaHumansIsotope LabelingMass SpectrometryPhosphopeptidesPhosphopeptidesPhosphoproteinsProteome

Identifiers

PMID40287540
PMCPMC12033357

What OpenQuestion holds

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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.