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Protein Lipidation Types: Current Strategies for Enrichment and Characterization. Int J Mol Sci 2022; 23:ijms23042365. [PMID: 35216483 PMCID: PMC8880637 DOI: 10.3390/ijms23042365] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 02/18/2022] [Accepted: 02/18/2022] [Indexed: 12/04/2022] Open
Abstract
Post-translational modifications regulate diverse activities of a colossal number of proteins. For example, various types of lipids can be covalently linked to proteins enzymatically or non-enzymatically. Protein lipidation is perhaps not as extensively studied as protein phosphorylation, ubiquitination, or glycosylation although it is no less significant than these modifications. Evidence suggests that proteins can be attached by at least seven types of lipids, including fatty acids, lipoic acids, isoprenoids, sterols, phospholipids, glycosylphosphatidylinositol anchors, and lipid-derived electrophiles. In this review, we summarize types of protein lipidation and methods used for their detection, with an emphasis on the conjugation of proteins with polyunsaturated fatty acids (PUFAs). We discuss possible reasons for the scarcity of reports on PUFA-modified proteins, limitations in current methodology, and potential approaches in detecting PUFA modifications.
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Dunphy K, Dowling P, Bazou D, O’Gorman P. Current Methods of Post-Translational Modification Analysis and Their Applications in Blood Cancers. Cancers (Basel) 2021; 13:1930. [PMID: 33923680 PMCID: PMC8072572 DOI: 10.3390/cancers13081930] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 04/04/2021] [Accepted: 04/14/2021] [Indexed: 12/12/2022] Open
Abstract
Post-translational modifications (PTMs) add a layer of complexity to the proteome through the addition of biochemical moieties to specific residues of proteins, altering their structure, function and/or localization. Mass spectrometry (MS)-based techniques are at the forefront of PTM analysis due to their ability to detect large numbers of modified proteins with a high level of sensitivity and specificity. The low stoichiometry of modified peptides means fractionation and enrichment techniques are often performed prior to MS to improve detection yields. Immuno-based techniques remain popular, with improvements in the quality of commercially available modification-specific antibodies facilitating the detection of modified proteins with high affinity. PTM-focused studies on blood cancers have provided information on altered cellular processes, including cell signaling, apoptosis and transcriptional regulation, that contribute to the malignant phenotype. Furthermore, the mechanism of action of many blood cancer therapies, such as kinase inhibitors, involves inhibiting or modulating protein modifications. Continued optimization of protocols and techniques for PTM analysis in blood cancer will undoubtedly lead to novel insights into mechanisms of malignant transformation, proliferation, and survival, in addition to the identification of novel biomarkers and therapeutic targets. This review discusses techniques used for PTM analysis and their applications in blood cancer research.
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Affiliation(s)
- Katie Dunphy
- Department of Biology, National University of Ireland, W23 F2K8 Maynooth, Ireland; (K.D.); (P.D.)
| | - Paul Dowling
- Department of Biology, National University of Ireland, W23 F2K8 Maynooth, Ireland; (K.D.); (P.D.)
| | - Despina Bazou
- Department of Haematology, Mater Misericordiae University Hospital, D07 WKW8 Dublin, Ireland;
| | - Peter O’Gorman
- Department of Haematology, Mater Misericordiae University Hospital, D07 WKW8 Dublin, Ireland;
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Gong Z, Shen X, Yang J, Yang K, Bai S, Wei S. FSH receptor binding inhibitor up-regulates ARID1A and PTEN genes associated with ovarian cancers in mice. Braz J Med Biol Res 2019; 52:e8381. [PMID: 31241714 PMCID: PMC6596365 DOI: 10.1590/1414-431x20198381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 04/23/2019] [Indexed: 11/21/2022] Open
Abstract
Experiments were conducted to determine if the follicle-stimulating hormone (FSH) receptor binding inhibitor (FRBI) impacts the expression levels of AT-rich interactive domain-containing protein 1A (ARID1A) and phosphatase and tensin homolog (PTEN) in ovaries and blood, as well as expressions of follicle-stimulating hormone cognate receptor (FSHR) gene and proteins. Mice in FRBI-10, FRBI-20, FRBI-30, and FRBI-40 groups were intramuscularly injected with 10, 20, 30, and 40 mg FRBI/kg, respectively, for five consecutive days. Western blotting and qRT-PCR were utilized to determine expression levels of ARID1A and PTEN proteins and mRNAs. Serum ARID1A and PTEN concentrations of the FRBI-40 group were higher than the control group (CG) and FSH group (P<0.05). FSHR mRNA levels of FRBI-20, FRBI-30, and FRBI-40 groups were lower than that of CG and FSH groups on day 15 (P<0.05 or P<0.01). Expression levels of FSHR proteins of FRBI-30 and FRBI-40 groups were lower than those of CG and FSH groups (P<0.05). Levels of ARID1A and PTEN proteins of the FRBI-30 group were greater than CG on days 20 and 30 (P<0.05). FRBI doses had significant positive correlations to levels of ARID1A and PTEN proteins. Additionally, ARID1A and PTEN had negative correlations to FSHR mRNAs and proteins. A high dose of FRBI could promote the expression levels of ARID1A and PTEN proteins in ovarian tissues. FRBI increased serum concentrations of ARID1A and PTEN. However, FRBI depressed expression levels of FSHR mRNAs and proteins in mouse ovaries.
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Affiliation(s)
- Zhuandi Gong
- Medicine College Hospital, Northwest Minzu University, Lanzhou, China
| | - Xiaoyun Shen
- State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang, China.,School of Life Science and Engineering, Southwest University of Science and Technology, Mianyang, China
| | - Juan Yang
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou, China
| | - Kun Yang
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou, China
| | - Shengju Bai
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou, China
| | - Suocheng Wei
- College of Life Science and Engineering, Northwest Minzu University, Lanzhou, China
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Zhao S, Feng J, Li C, Gao H, Lv P, Li J, Liu Q, He Y, Wang H, Gong L, Li D, Zhang Y. Phosphoproteome profiling revealed abnormally phosphorylated AMPK and ATF2 involved in glucose metabolism and tumorigenesis of GH-PAs. J Endocrinol Invest 2019; 42:137-148. [PMID: 29691806 DOI: 10.1007/s40618-018-0890-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Accepted: 04/11/2018] [Indexed: 01/04/2023]
Abstract
PURPOSE Protein phosphorylation plays a key role in tumorigenesis and progression. However, little is known about the phosphoproteome profiles of growth hormone-secreting pituitary adenomas (GH-PAs). The aim of this study was to identify critical biomarkers and signaling pathways that might play important roles in GH-PAs and may, therefore, represent potential therapeutic targets. METHODS The differential phosphoprotein expression patterns involved in GH-PAs were investigated by nano-LC-MS/MS in a group of samples. The phosphoprotein expression data were analyzed by bioinformatics. The expression levels of the candidate phosphorylated AMPK (ser496) and ATF2 (ser112) were validated by Western blot analysis in another group of samples. RESULTS A total of 1213 phosphorylated protein sites corresponding to 667 proteins were significantly different between GH-PAs and healthy pituitary glands. Among these phosphorylated sites, 871 exhibited lower levels of phosphorylation in GH-PAs. Moreover, 140 novel phosphosites corresponding to 93 proteins were differentially phosphorylated between GH-PAs and healthy pituitary glands, 101 of which showed decreased phosphorylation in GH-PAs. The majority of differentially expressed phosphorylated proteins were significantly enriched in glycolysis and the AMPK signaling pathway in GH-PAs. The AMPK signaling pathway was demonstrated to be inhibited in GH-PAs by pathway activity analysis (z score = - 2.324). Notably, the phosphorylated levels of AMPK (ser496) and ATF2 (ser112) were significantly lower in GH-PAs than in healthy pituitary glands. CONCLUSION These findings suggest that decreased phosphorylation of the AMPK/ATF2 pathway may be critical for glucose metabolism and tumorigenesis in GH-PAs.
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Affiliation(s)
- S Zhao
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China.
| | - J Feng
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - C Li
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - H Gao
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - P Lv
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
- Chinese Medical Association, Beijing, 100710, China
| | - J Li
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - Q Liu
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - Y He
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - H Wang
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - L Gong
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - D Li
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China
| | - Y Zhang
- Beijing Neurosurgical Institute, Capital Medical University, TianTanXiLi6, Beijing, 100050, China.
- Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
- Beijing Institute for Brain Disorders Brain Tumor Center, Capital Medical University, Beijing, 100050, China.
- China National Clinical Research Center for Neurological Diseases, Beijing, 100050, China.
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