Evidence map›Paper›PMID 26750096›Full record

ArticleMolecular & cellular proteomics : MCP2016

Quantitative Profiling of the Activity of Protein Lysine Methyltransferase SMYD2 Using SILAC-Based Proteomics.

Jonathan B Olsen, Xing-Jun Cao, Bomie Han, Lisa Hong Chen, Alexander Horvath, Timothy I Richardson, Robert M Campbell, Benjamin A Garcia, Hannah Nguyen

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
7.3field-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

58 citing papers in PubMed, 99 citations in OpenAlex.

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  8. Posttranslational Regulation of Mammalian Sulfur Amino Acid Metabolism.International journal of molecular sciences · 2025
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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

9 authors at 2 institutions in 1 country.

Jonathan B OlsenFrom the ‡Lilly USA, Lilly Research Laboratories, Indianapolis, Indiana 46285;
Xing-Jun Cao§Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Pennsylvania 19104;
Bomie HanFrom the ‡Lilly USA, Lilly Research Laboratories, Indianapolis, Indiana 46285;
Lisa Hong ChenFrom the ‡Lilly USA, Lilly Research Laboratories, Indianapolis, Indiana 46285;
Alexander Horvath¶Advanced Testing Laboratory, Cincinnati, Ohio, 45242.
Timothy I RichardsonFrom the ‡Lilly USA, Lilly Research Laboratories, Indianapolis, Indiana 46285;
Robert M CampbellFrom the ‡Lilly USA, Lilly Research Laboratories, Indianapolis, Indiana 46285;
Benjamin A Garcia§Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania Philadelphia, Pennsylvania 19104; nguyen_anh-quan_hannah@lilly.com bgarci@mail.med.upenn.edu.
Hannah NguyenFrom the ‡Lilly USA, Lilly Research Laboratories, Indianapolis, Indiana 46285; nguyen_anh-quan_hannah@lilly.com bgarci@mail.med.upenn.edu.
Eli Lilly (United States) · USUniversity of Pennsylvania · US

Funding

Viral modulation of epitranscriptomic mechanismsR01AI118891 · NIAID · WASHINGTON UNIVERSITY · PI GARCIA, BENJAMIN A, WEITZMAN, MATTHEW D. · 2015 to 2025
$5.4M
Understanding the Role of Combinatorial Histone PTM PatternsR01GM110174 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI GARCIA, BENJAMIN A · 2014 to 2017
$1.3M
NIAID NIH HHS AI118891NIAID NIH HHS R01 AI118891NIGMS NIH HHS GM110174NIGMS NIH HHS R01 GM110174
6 · The paper itself

Abstract

The significance of non-histone lysine methylation in cell biology and human disease is an emerging area of research exploration. The development of small molecule inhibitors that selectively and potently target enzymes that catalyze the addition of methyl-groups to lysine residues, such as the protein lysine mono-methyltransferase SMYD2, is an active area of drug discovery. Critical to the accurate assessment of biological function is the ability to identify target enzyme substrates and to define enzyme substrate specificity within the context of the cell. Here, using stable isotopic labeling with amino acids in cell culture (SILAC) coupled with immunoaffinity enrichment of mono-methyl-lysine (Kme1) peptides and mass spectrometry, we report a comprehensive, large-scale proteomic study of lysine mono-methylation, comprising a total of 1032 Kme1 sites in esophageal squamous cell carcinoma (ESCC) cells and 1861 Kme1 sites in ESCC cells overexpressing SMYD2. Among these Kme1 sites is a subset of 35 found to be potently down-regulated by both shRNA-mediated knockdown of SMYD2 and LLY-507, a selective small molecule inhibitor of SMYD2. In addition, we report specific protein sequence motifs enriched in Kme1 sites that are directly regulated by endogenous SMYD2 activity, revealing that SMYD2 substrate specificity is more diverse than expected. We further show direct activity of SMYD2 toward BTF3-K2, PDAP1-K126 as well as numerous sites within the repetitive units of two unique and exceptionally large proteins, AHNAK and AHNAK2. Collectively, our findings provide quantitative insights into the cellular activity and substrate recognition of SMYD2 as well as the global landscape and regulation of protein mono-methylation.

Indexed as

Amino Acid MotifsBenzamidesCarcinoma, Squamous CellCell Culture TechniquesCell Line, TumorEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaGene Expression Regulation, NeoplasticHistone-Lysine N-MethyltransferaseHumansIsotope LabelingLysineMass SpectrometryMethylationProteomeProteomicsBenzamidesHistone-Lysine N-MethyltransferaseLLY-507LysineProteomePyrrolidinesSMYD2 protein, human

Identifiers

PMID26750096
PMCPMC4813708
OpenAlexW2309996550

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.