Evidence map›Paper›PMID 40089461›Full record

ArticleNature communications2025

High resolution profiling of cell cycle-dependent protein and phosphorylation abundance changes in non-transformed cells.

Camilla Rega, Ifigenia Tsitsa, Theodoros I Roumeliotis, Izabella Krystkowiak, Maria Portillo, Lu Yu, Julia Vorhauser, Jonathon Pines, Jörg Mansfeld, Jyoti Choudhary and 1 more

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Cell cycle in plant development and reprogramming.Development (Cambridge, England) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. 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

11 authors.

Camilla Rega *Division of Cancer Biology, The Institute of Cancer Research, London, UK.
Ifigenia Tsitsa *Division of Cancer Biology, The Institute of Cancer Research, London, UK.
Theodoros I RoumeliotisDivision of Cancer Biology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-3354-5643
Izabella KrystkowiakDivision of Cancer Biology, The Institute of Cancer Research, London, UK.
Maria PortilloDivision of Cancer Biology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-6083-5494
Lu YuDivision of Cancer Biology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0001-8378-9112
Julia VorhauserDivision of Cancer Biology, The Institute of Cancer Research, London, UK.
Jonathon PinesDivision of Cancer Biology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-5227-6004
Jörg MansfeldDivision of Cancer Biology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0002-0562-8206
Jyoti ChoudharyDivision of Cancer Biology, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0003-0881-5477
Norman E DaveyDivision of Cancer Biology, The Institute of Cancer Research, London, UK. norman.davey@icr.ac.uk.ORCID http://orcid.org/0000-0001-6988-4850

Funding

Cancer Research UK (CRUK) C68484/A28159Cancer Research UK (CRUK) RCCSCF-Nov22/100001
6 · The paper itself

Abstract

The cell cycle governs a precise series of molecular events, regulated by coordinated changes in protein and phosphorylation abundance, that culminates in the generation of two daughter cells. Here, we present a proteomic and phosphoproteomic analysis of the human cell cycle in hTERT-RPE-1 cells using deep quantitative mass spectrometry by isobaric labelling. By analysing non-transformed cells and improving the temporal resolution and coverage of key cell cycle regulators, we present a dataset of cell cycle-dependent protein and phosphorylation site oscillation that offers a foundational reference for investigating cell cycle regulation. These data reveal regulatory intricacies including proteins and phosphorylation sites exhibiting cell cycle-dependent oscillation, and proteins targeted for degradation during mitotic exit. Integrated with complementary resources, our data link cycle-dependent abundance dynamics to functional changes and are accessible through the Cell Cycle database (CCdb), an interactive web-based resource for the cell cycle community.

Indexed as

Cell CycleCell Cycle ProteinsPhosphoproteinsCell LineHumansMass SpectrometryPhosphorylationProteomeProteomicsCell Cycle ProteinsPhosphoproteinsProteome

Identifiers

PMID40089461
PMCPMC11910661

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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.