Evidence map›Paper›PMID 29942033›Full record

ArticleNature communications2018

Site-specific characterization of endogenous SUMOylation across species and organs.

Ivo A Hendriks, David Lyon, Dan Su, Niels H Skotte, Jeremy A Daniel, Lars J Jensen, Michael L Nielsen

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

131 citing papers in PubMed, 231 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Regulation of lineage reprogramming by dynamic chromatin SUMOylation.Cellular and molecular life sciences : CMLS · 2026
    Article
  7. Article
  8. A Landscape Analysis of Human SUMOylation.Molecular & cellular proteomics : MCP · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. SUMO conjugation to promoter-proximal sequence elements-associated proteins impacts on snRNA transcription.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article

71 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Ivo A HendriksProteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-1439-3701
David LyonDisease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-5794-0456
Dan SuProtein Signaling Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.
Niels H SkotteProteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.
Jeremy A DanielProtein Signaling Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.
Lars J JensenDisease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.
Michael L NielsenProteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark. michael.lund.nielsen@cpr.ku.dk.ORCID http://orcid.org/0000-0002-0067-9039
University of Copenhagen · DK

Funding

Natur og Univers, Det Frie Forskningsråd (Natural Sciences, Danish Council for Independent Research) DFF 4002-00051Sundhed og Sygdom, Det Frie Forskningsråd (Medical Sciences, Danish Council for Independent Research) DFF 4183-00322A
6 · The paper itself

Abstract

Small ubiquitin-like modifiers (SUMOs) are post-translational modifications that play crucial roles in most cellular processes. While methods exist to study exogenous SUMOylation, large-scale characterization of endogenous SUMO2/3 has remained technically daunting. Here, we describe a proteomics approach facilitating system-wide and in vivo identification of lysines modified by endogenous and native SUMO2. Using a peptide-level immunoprecipitation enrichment strategy, we identify 14,869 endogenous SUMO2/3 sites in human cells during heat stress and proteasomal inhibition, and quantitatively map 1963 SUMO sites across eight mouse tissues. Characterization of the SUMO equilibrium highlights striking differences in SUMO metabolism between cultured cancer cells and normal tissues. Targeting preferences of SUMO2/3 vary across different organ types, coinciding with markedly differential SUMOylation states of all enzymes involved in the SUMO conjugation cascade. Collectively, our systemic investigation details the SUMOylation architecture across species and organs and provides a resource of endogenous SUMOylation sites on factors important in organ-specific functions.

Indexed as

AnimalsCell Line, TumorHEK293 CellsHeLa CellsHumansMaleMiceMice, Inbred C57BLNeoplasmsProteomeSmall Ubiquitin-Related Modifier ProteinsSumoylationUbiquitinsProteomeSmall Ubiquitin-Related Modifier ProteinsSUMO2 protein, humanSUMO3 protein, humanUbiquitins

Identifiers

PMID29942033
PMCPMC6018634
OpenAlexW2808998679

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.