| 1. |
- Berglund, U. W., et al.
(author)
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Validation and development of MTH1 inhibitors for treatment of cancer
- 2016
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In: Annals of Oncology. - : Elsevier BV. - 0923-7534 .- 1569-8041. ; 27:12, s. 2275-2283
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Journal article (peer-reviewed)abstract
- Background: Previously, we showed cancer cells rely on the MTH1 protein to prevent incorporation of otherwise deadly oxidised nucleotides into DNA and we developed MTH1 inhibitors which selectively kill cancer cells. Recently, several new and potent inhibitors of MTH1 were demonstrated to be non-toxic to cancer cells, challenging the utility of MTH1 inhibition as a target for cancer treatment. Material and methods: Human cancer cell lines were exposed in vitro to MTH1 inhibitors or depleted of MTH1 by siRNA or shRNA. 8-oxodG was measured by immunostaining and modified comet assay. Thermal Proteome profiling, proteomics, cellular thermal shift assays, kinase and CEREP panel were used for target engagement, mode of action and selectivity investigations of MTH1 inhibitors. Effect of MTH1 inhibition on tumour growth was explored in BRAF V600E-mutated malignant melanoma patient derived xenograft and human colon cancer SW480 and HCT116 xenograft models. Results: Here, we demonstrate that recently described MTH1 inhibitors, which fail to kill cancer cells, also fail to introduce the toxic oxidized nucleotides into DNA. We also describe a new MTH1 inhibitor TH1579, (Karonudib), an analogue of TH588, which is a potent, selective MTH1 inhibitor with good oral availability and demonstrates excellent pharmacokinetic and anti-cancer properties in vivo. Conclusion: We demonstrate that in order to kill cancer cells MTH1 inhibitors must also introduce oxidized nucleotides into DNA. Furthermore, we describe TH1579 as a best-in-class MTH1 inhibitor, which we expect to be useful in order to further validate the MTH1 inhibitor concept.
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| 3. |
- Liu, Y., et al.
(author)
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The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting glycan microarray-based data
- 2017
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In: Glycobiology. - : Oxford University Press (OUP). - 0959-6658 .- 1460-2423. ; 27:4, s. 280-284
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Journal article (peer-reviewed)abstract
- MIRAGE (Minimum Information Required for A Glycomics Experiment) is an initiative that was created by experts in the fields of glycobiology, glycoanalytics and glycoinformatics to produce guidelines for reporting results from the diverse types of experiments and analyses used in structural and functional studies of glycans in the scientific literature. As a sequel to the guidelines for sample preparation (Struwe et al. 2016, Glycobiology, 26: 907-910) and mass spectrometry data (Kolarich et al. 2013, Mol. Cell Proteomics, 12: 991-995), here we present the first version of guidelines intended to improve the standards for reporting data from glycan microarray analyses. For each of eight areas in the workflow of a glycan microarray experiment, we provide guidelines for the minimal information that should be provided in reporting results. We hope that the MIRAGE glycan microarray guidelines proposed here will gain broad acceptance by the community, and will facilitate interpretation and reproducibility of the glycan microarray results with implications in comparison of data from different laboratories and eventual deposition of glycan microarray data in international databases.
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| 4. |
- Van den Brink, P. J., et al.
(author)
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Toward sustainable environmental quality: Priority research questions for Europe
- 2018
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In: Environmental Toxicology and Chemistry. - : Wiley. - 0730-7268 .- 1552-8618. ; 37:9, s. 2281-2295
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Journal article (peer-reviewed)abstract
- The United Nations' Sustainable Development Goals have been established to end poverty, protect the planet, and ensure prosperity for all. Delivery of the Sustainable Development Goals will require a healthy and productive environment. An understanding of the impacts of chemicals which can negatively impact environmental health is therefore essential to the delivery of the Sustainable Development Goals. However, current research on and regulation of chemicals in the environment tend to take a simplistic view and do not account for the complexity of the real world, which inhibits the way we manage chemicals. There is therefore an urgent need for a step change in the way we study and communicate the impacts and control of chemicals in the natural environment. To do this requires the major research questions to be identified so that resources are focused on questions that really matter. We present the findings of a horizon-scanning exercise to identify research priorities of the European environmental science community around chemicals in the environment. Using the key questions approach, we identified 22 questions of priority. These questions covered overarching questions about which chemicals we should be most concerned about and where, impacts of global megatrends, protection goals, and sustainability of chemicals; the development and parameterization of assessment and management frameworks; and mechanisms to maximize the impact of the research. The research questions identified provide a first-step in the path forward for the research, regulatory, and business communities to better assess and manage chemicals in the natural environment. Environ Toxicol Chem 2018;37:2281-2295. (c) 2018 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals, Inc. on behalf of SETAC.
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| 5. |
- Rojas-Macias, Miguel A., 1979, et al.
(author)
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Towards a standardized bioinformatics infrastructure for N- and O-glycomics
- 2019
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In: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10
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Journal article (peer-reviewed)abstract
- The mass spectrometry (MS)-based analysis of free polysaccharides and glycans released from proteins, lipids and proteoglycans increasingly relies on databases and software. Here, we review progress in the bioinformatics analysis of protein-released N- and O-linked glycans (N-and O-glycomics) and propose an e-infrastructure to overcome current deficits in data and experimental transparency. This workflow enables the standardized submission of MS-based glycomics information into the public repository UniCarb-DR. It implements the MIRAGE (Minimum Requirement for A Glycomics Experiment) reporting guidelines, storage of unprocessed MS data in the GlycoPOST repository and glycan structure registration using the GlyTouCan registry, thereby supporting the development and extension of a glycan structure knowledgebase.
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| 8. |
- Adamczyk, Barbara, 1985, et al.
(author)
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Pregnancy-Associated Changes of IgG and Serum N-Glycosylation in Camel (Camelus dromedarius).
- 2016
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In: Journal of proteome research. - : American Chemical Society (ACS). - 1535-3907 .- 1535-3893. ; 15:9, s. 3255-65
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Journal article (peer-reviewed)abstract
- The dromedary camel (Camelus dromedarius) is an agriculturally important species of high economic value but of low reproductive efficiency. Serum and IgG N-glycosylation are affected by physiological and pathogenic changes and might therefore be a useful diagnostic tool in camel livestock management. This study presents the first comprehensive annotation of the N-glycome from dromedary camel serum as well as their single-domain and conventional antibodies and its subsequent application for camel pregnancy diagnostics. N-glycans were released by PNGaseF, labeled with 2-aminobenzamide (2-AB), and analyzed by hydrophilic interaction liquid chromatography with fluorescent detection (HILIC-UPLC-FLD), enzymatic sequencing and mass spectrometry (MS). The use of a high-throughput robotic platform for sample preparation allowed the rapid generation of glycomics data from pregnant (n = 8) and nonpregnant (n = 8) camels of the Majaheem and Wadha breed. IgG N-glycans dominate the glycan profile of camel serum and present a mixture of core-fucosylated and noncore-fucosylated N-glycans which can contain N-glycolylneuraminic and N-acetylneuraminic acid. Significant pregnancy-associated but breed-independent increases in galactosylation, core-fucosylation, sialylation, and decreases in serum O-acetylation were observed. The monitoring of IgG and serum N-glycosylation presents an attractive complementary test for camel pregnancy diagnostics and presents an interesting tool for biomarker discovery in camel health and breeding.
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| 10. |
- Ito, H., et al.
(author)
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Comparison of analytical methods for profiling N- and O-linked glycans from cultured cell lines
- 2016
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In: Glycoconjugate Journal. - : Springer Science and Business Media LLC. - 0282-0080 .- 1573-4986. ; 33:3, s. 405-415
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Journal article (peer-reviewed)abstract
- The Human Disease Glycomics/Proteome Initiative (HGPI) is an activity in the Human Proteome Organization (HUPO) supported by leading researchers from international institutes and aims at development of disease-related glycomics/glycoproteomics analysis techniques. Since 2004, the initiative has conducted three pilot studies. The first two were N- and O-glycan analyses of purified transferrin and immunoglobulin-G and assessed the most appropriate analytical approach employed at the time. This paper describes the third study, which was conducted to compare different approaches for quantitation of N- and O-linked glycans attached to proteins in crude biological samples. The preliminary analysis on cell pellets resulted in wildly varied glycan profiles, which was probably the consequence of variations in the pre-processing sample preparation methodologies. However, the reproducibility of the data was not improved dramatically in the subsequent analysis on cell lysate fractions prepared in a specified method by one lab. The study demonstrated the difficulty of carrying out a complete analysis of the glycome in crude samples by any single technology and the importance of rigorous optimization of the course of analysis from preprocessing to data interpretation. It suggests that another collaborative study employing the latest technologies in this rapidly evolving field will help to realize the requirements of carrying out the large-scale analysis of glycoproteins in complex cell samples.
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