Cited by 737Advanced Proteomics Techniques and ApplicationsProtein Kinase Regulation and GTPase SignalingProtein Tyrosine Phosphatases

An atlas of substrate specificities for the human serine/threonine kinome

Open access
Johnson, Jared L., Yaron, Tomer M., Huntsman, Emily M., Kerelsky, Alexander, Song, Junho, Regev, Amit, Lin, Ting-Yu, Liberatore, Katarina +32 more·2023·Nature

Published version of a preprint

Abstract

Protein phosphorylation is one of the most widespread post-translational modifications in biology 1,2 . With advances in mass-spectrometry-based phosphoproteomics, 90,000 sites of serine and threonine phosphorylation have so far been identified, and several thousand have been associated with human diseases and biological processes 3,4 . For the vast majority of phosphorylation events, it is not yet known which of the more than 300 protein serine/threonine (Ser/Thr) kinases encoded in the human genome are responsible 3 . Here we used synthetic peptide libraries to profile the substrate sequence specificity of 303 Ser/Thr kinases, comprising more than 84% of those predicted to be active in humans. Viewed in its entirety, the substrate specificity of the kinome was substantially more diverse than expected and was driven extensively by negative selectivity. We used our kinome-wide dataset to computationally annotate and identify the kinases capable of phosphorylating every reported phosphorylation site in the human Ser/Thr phosphoproteome. For the small minority of phosphosites for which the putative protein kinases involved have been previously reported, our predictions were in excellent agreement. When this approach was applied to examine the signalling response of tissues and cell lines to hormones, growth factors, targeted inhibitors and environmental or genetic perturbations, it revealed unexpected insights into pathway complexity and compensation. Overall, these studies reveal the intrinsic substrate specificity of the human Ser/Thr kinome, illuminate cellular signalling responses and provide a resource to link phosphorylation events to biological pathways.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41586-022-05575-3

Cites

120 of 120 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Johnson, J. L., Yaron, T. M., Huntsman, E. M., Kerelsky, A., Song, J., Regev, A., Lin, T.-Y., Liberatore, K., Cizin, D. M., Cohen, B. M., Vasan, N., Ma, Y., Krismer, K., Robles, J. T., van de Kooij, B., van Vlimmeren, A. E., Andrée-Busch, N., Käufer, N. F., Dorovkov, M. V., Ryazanov, A. G., Takagi, Y., Kastenhuber, E. R., Goncalves, M. D., Hopkins, B. D., Elemento, O., Taatjes, D. J., Maucuer, A., Yamashita, A., Degterev, A., Uduman, M., Lu, J., Landry, S. D., Zhang, B., Cossentino, I., Linding, R., Blenis, J., Hornbeck, P. V., Turk, B. E., Yaffe, M. B., & Cantley, L. C.
Affiliations
  • Weill Cornell Medicine (US)
  • Memorial Sloan Kettering Cancer Center (US)
  • Cornell University (US)
  • Columbia University Irving Medical Center (US)
  • MIT Computer Science and Artificial Intelligence Laboratory (US)
  • Yale University (US)
  • Technische Universität Braunschweig (DE)
  • Rutgers, The State University of New Jersey (US)
  • Indiana University School of Medicine (US)
  • Icahn School of Medicine at Mount Sinai (US)
  • University of Colorado Boulder (US)
  • Inserm (FR)
  • University of the Ryukyus (JP)
  • Tufts University (US)
  • Cell Signaling Technology (United States) (US)
  • Humboldt-Universität zu Berlin (DE)
  • National Institutes of Health (US)
Corresponding author
  • Turk, Benjamin E.
  • Yaffe, Michael B.
  • Cantley, Lewis C.
Venue
Nature
Published
2023-01-11
Volume
613
Issue
7945
Pages
759-766
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W4315642941
Cited by
728
References
120
Citations by year
2026: 206 · 2025: 223 · 2024: 193 · 2023: 102 · 2022: 4
FWCI
67.03
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • HAL (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Institutional Repositories DataBase (IRDB) (submittedVersion, cc-by)
  • University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
  • IUScholarWorks (Indiana University) (submittedVersion, cc-by)
  • University oh the Ryukyus Repository (submittedVersion, cc-by-nc-nd)
Funders
  • Cancer Research UK (A28596, C42454/A28596)
  • National Cancer Institute (CA120964, CA14051, T32CA203702, CA197588, CA226898, R01CA226898, Grant P30-CA14051, R35CA197588, P01CA120964, P30CA014051, P01CA117969, P30-CA-14051)
  • National Institute of General Medical Sciences (R01GM104047, R35GM139550)
  • National Institute of Diabetes and Digestive and Kidney Diseases (U24DK116204)
  • National Institute of Environmental Health Sciences (R35ES028374)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Tyrosine Phosphatases
Keywords
serine/threonine kinase, kinase substrate specificity, protein phosphorylation, phosphoproteome, synthetic peptide libraries, kinase profiling
MeSH terms
Cell Line, Humans, Phosphoproteins, Phosphorylation, Phosphoserine, Phosphothreonine, Serine, Substrate Specificity, Threonine, Protein Serine-Threonine Kinases, Proteome, Datasets as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review