Evidence map›Paper›PMID 34857927›Full record

ArticleNature biotechnology2022

Personalized phosphoproteomics identifies functional signaling.

Elise J Needham, Janne R Hingst, Benjamin L Parker, Kaitlin R Morrison, Guang Yang, Johan Onslev, Jonas M Kristensen, Kurt Højlund, Naomi X Y Ling, Jonathan S Oakhill and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
10.8field-weighted citation impact, top 1% of its field
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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.

  1. Pooled it
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  7. Sex-specific phosphoproteome responses to calorie restriction and insulin in skeletal muscle from older rats.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  8. The insulin signalling network.Nature metabolism · 2025
    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

17 authors at 6 institutions in 3 countries.

Elise J Needham *Charles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0001-6326-9048
Janne R Hingst *Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Benjamin L ParkerCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.
Kaitlin R MorrisonFlinders Health and Medical Research Institute, Flinders Centre for Innovation in Cancer, Flinders University, Adelaide, South Australia, Australia.
Guang YangCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0003-4377-1836
Johan OnslevSection of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Jonas M KristensenSection of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Kurt HøjlundSteno Diabetes Center Odense, Odense University Hospital, Odense, Denmark.
Naomi X Y LingMetabolic Signalling Laboratory, St Vincent's Institute of Medical Research, School of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0001-6240-4092
Jonathan S OakhillMetabolic Signalling Laboratory, St Vincent's Institute of Medical Research, School of Medicine, The University of Melbourne, Melbourne, Victoria, Australia.ORCID http://orcid.org/0000-0002-9475-1440
Erik A RichterSection of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-6850-3056
Bente KiensSection of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
Janni PetersenFlinders Health and Medical Research Institute, Flinders Centre for Innovation in Cancer, Flinders University, Adelaide, South Australia, Australia.ORCID http://orcid.org/0000-0003-0729-9335
Christian PehmøllerInternal Medicine Research Unit, Pfizer Global Research and Development, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-7102-7727
David E JamesCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia. david.james@sydney.edu.au.ORCID http://orcid.org/0000-0001-5946-5257
Jørgen F P WojtaszewskiSection of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark. jwojtaszewski@nexs.ku.dk.ORCID http://orcid.org/0000-0001-8185-3408
Sean J HumphreyCharles Perkins Centre, School of Life and Environmental Sciences, University of Sydney, Sydney, New South Wales, Australia. sean.humphrey@sydney.edu.au.ORCID http://orcid.org/0000-0002-2666-9744
University of Copenhagen · DKThe University of Sydney · AUFlinders University · AUThe University of Melbourne · AUPfizer (United States) · USSteno Diabetes Centers · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein phosphorylation dynamically integrates environmental and cellular information to control biological processes. Identifying functional phosphorylation amongst the thousands of phosphosites regulated by a perturbation at a global scale is a major challenge. Here we introduce 'personalized phosphoproteomics', a combination of experimental and computational analyses to link signaling with biological function by utilizing human phenotypic variance. We measure individual subject phosphoproteome responses to interventions with corresponding phenotypes measured in parallel. Applying this approach to investigate how exercise potentiates insulin signaling in human skeletal muscle, we identify both known and previously unidentified phosphosites on proteins involved in glucose metabolism. This includes a cooperative relationship between mTOR and AMPK whereby the former directly phosphorylates the latter on S377, for which we find a role in metabolic regulation. These results establish personalized phosphoproteomics as a general approach for investigating the signal transduction underlying complex biology.

Indexed as

Biological PhenomenaPhosphoproteinsPhosphorylationProteomicsSignal TransductionPhosphoproteins

Identifiers

PMID34857927
OpenAlexW3217481038

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.