Evidence map›Paper›PMID 41883516›Full record

ArticleCurrent research in chemical biology2023

Comparison of CX-4945 and SGC-CK2-1 as inhibitors of CSNK2 using quantitative phosphoproteomics: Triple SILAC in combination with inhibitor-resistant CSNK2.

Daniel Menyhart, Laszlo Gyenis, Kristina Jurcic, Scott E Roffey, Aakshi Puri, Predrag Jovanovic, Krzysztof J Szkop, Paula Pittock, Gilles Lajoie, Alison D Axtman and 3 more

Abstract read
In one paragraph

Article in Current research in chemical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. CK2 Chemical Probes: Past, Present, and Future.Kinases and phosphatases · 2023
    Article
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

13 authors.

Daniel MenyhartDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Laszlo GyenisDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Kristina JurcicDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Scott E RoffeyDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Aakshi PuriLady Davis Institute for Medical Research, Gerald Bronfman Department of Oncology & Department of Biochemistry, McGill University, Montréal, Quebec, H3T 1E2, Canada.
Predrag JovanovicLady Davis Institute for Medical Research, Department of Medicine, Division of Experimental Medicine, McGill University, Montréal, Quebec, H4A 3J1, Canada.
Krzysztof J SzkopDepartment of Oncology-Pathology, Science for Life Laboratories, Karolinska Institute, Stockholm, Sweden.
Paula PittockDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Gilles LajoieDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.
Alison D AxtmanStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, United States.
Ola LarssonDepartment of Oncology-Pathology, Science for Life Laboratories, Karolinska Institute, Stockholm, Sweden.
Ivan TopisirovicLady Davis Institute for Medical Research, Gerald Bronfman Department of Oncology & Department of Biochemistry, McGill University, Montréal, Quebec, H3T 1E2, Canada.
David W LitchfieldDepartment of Biochemistry, Schulich School of Medicine & Dentistry, Western University, London, Ontario, N6A 5C1, Canada.

Funding

Illuminating Function of the Understudied Druggable KinomeU24DK116204 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOHNSON, GARY L. · 2017 to 2022
$13.6M
NIDDK NIH HHS U24 DK116204
6 · The paper itself

Abstract

Specificity is a limiting factor when using small-molecule inhibitors to study protein kinase signalling. Since inhibitor-resistant kinase mutants (i.e., drug-resistant alleles) remain active in the presence of inhibitor, they facilitate validation of on-target effects. By combining an inhibitor-resistant kinase mutant with mass spectrometry-based phosphoproteomics, we previously devised a systematic strategy for reliable identification and validation of CSNK2 substrates. In this study, we use the same strategy to evaluate the selectivity of CX-4945, a clinical stage CSNK2 inhibitor, and SGC-CK2-1, a chemical probe selectively targeting CSNK2. Human osteosarcoma (U2OS) cells expressing exogenous wild-type CSNK2A1 (WT) or an inhibitor-resistant triple mutant (TM, V66A/H160D/I174A) were treated with CX-4945 or SGC-CK2-1 prior to analysis using triple SILAC (phospho) proteomics. The minority of phosphosites, 15% at 4 h and 5% at 24 h, that were significantly downregulated in response to CX-4945 treatment were determined to be CSNK2A1-dependent. By comparison, the majority of phosphosites, >55% at both 4 and 24 h, that were significantly downregulated in response to SGC-CK2-1 were identified as CSNK2A1-dependent. This indicates that SGC-CK2-1 exhibits significantly greater selectivity towards CSNK2A1 than CX-4945. Notably, utilization of SGC-CK2-1 in cells expressing CSNK2A1-TM enabled the identification of >300 CSNK2A1-dependent phosphosites. Overall, this study highlights the utility of exploiting highly selective chemical probes together with inhibitor-resistant kinase mutants to facilitate identification of

Indexed as

CSNK2CX-4945Kinase inhibitorPhosphoproteomicsProtein kinase CK2SGC-CK2-1

Identifiers

PMID41883516
PMCPMC13012654

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Registered trials

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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.