Evidence map›Paper›PMID 34046594›Full record

ArticleNAR genomics and bioinformatics2021

Large-scale identification of protein histidine methylation in human cells.

Sebastian Kapell, Magnus E Jakobsson

Open access · goldAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. METTL18 is Required for Developmental, Metabolic, and Endocrine Regulation of Mammalian Growth.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  2. Histidine Ethylation by Histidine Methyltransferases SETD3 and METTL9.Chembiochem : a European journal of chemical biology · 2026
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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

2 authors at 2 institutions in 1 country.

Sebastian KapellNational Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 10691 Stockholm, Sweden.
Magnus E JakobssonDepartment of Immunotechnology, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-4259-4180
Lund University · SEStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Methylation can occur on histidine, lysine and arginine residues in proteins and often serves a regulatory function. Histidine methylation has recently attracted attention through the discovery of the human histidine methyltransferase enzymes SETD3 and METTL9. There are currently no methods to enrich histidine methylated peptides for mass spectrometry analysis and large-scale studies of the modification are hitherto absent. Here, we query ultra-comprehensive human proteome datasets to generate a resource of histidine methylation sites. In HeLa cells alone, we report 299 histidine methylation sites as well as 895 lysine methylation events. We use this resource to explore the frequency, localization, targeted domains, protein types and sequence requirements of histidine methylation and benchmark all analyses to methylation events on lysine and arginine. Our results demonstrate that histidine methylation is widespread in human cells and tissues and that the modification is over-represented in regions of mono-spaced histidine repeats. We also report colocalization of the modification with functionally important phosphorylation sites and disease associated mutations to identify regions of likely regulatory and functional importance. Taken together, we here report a system level analysis of human histidine methylation and our results represent a comprehensive resource enabling targeted studies of individual histidine methylation events.

Identifiers

PMID34046594
PMCPMC8140740
OpenAlexW3165348190

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.