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Shimada YJ, Hasegawa K, Kochav SM, Mohajer P, Jung J, Maurer MS, Reilly MP, Fifer MA. Application of Proteomics Profiling for Biomarker Discovery in Hypertrophic Cardiomyopathy. J Cardiovasc Transl Res 2019; 12:569-579. [PMID: 31278493 PMCID: PMC7102897 DOI: 10.1007/s12265-019-09896-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 06/10/2019] [Indexed: 12/17/2022]
Abstract
High-throughput proteomics profiling has never been applied to discover biomarkers in patients with hypertrophic cardiomyopathy (HCM). The objective was to identify plasma protein biomarkers that can distinguish HCM from controls. We performed a case-control study of patients with HCM (n = 15) and controls (n = 22). We carried out plasma proteomics profiling of 1129 proteins using the SOMAscan assay. We used the sparse partial least squares discriminant analysis to identify 50 most discriminant proteins. We also determined the area under the curve (AUC) of the receiver operating characteristic curve using the Monte Carlo cross validation with balanced subsampling. The average AUC was 0.94 (95% confidence interval, 0.82-1.00) and the discriminative accuracy was 89%. In HCM, 13 out of the 50 proteins correlated with troponin I and 12 with New York Heart Association class. Proteomics profiling can be used to elucidate protein biomarkers that distinguish HCM from controls.
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Affiliation(s)
- Yuichi J Shimada
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, 622 West 168th Street, PH 3-342, New York, NY, 10032, USA.
| | - Kohei Hasegawa
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Stephanie M Kochav
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, 622 West 168th Street, PH 3-342, New York, NY, 10032, USA
| | - Pouya Mohajer
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Jeeyoun Jung
- Clinical Medicine Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea
| | - Mathew S Maurer
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, 622 West 168th Street, PH 3-342, New York, NY, 10032, USA
| | - Muredach P Reilly
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, 622 West 168th Street, PH 3-342, New York, NY, 10032, USA
| | - Michael A Fifer
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Ye X, Luke BT, Wei BR, Kaczmarczyk JA, Loncarek J, Dwyer JE, Johann DJ, Saul RG, Nissley DV, McCormick F, Whiteley GR, Blonder J. Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics. Oncotarget 2018; 9:26431-26452. [PMID: 29899869 PMCID: PMC5995176 DOI: 10.18632/oncotarget.25449] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 05/02/2018] [Indexed: 12/18/2022] Open
Abstract
The most widely used cancer animal model is the human-murine tumor xenograft. Unbiased molecular dissection of tumor parenchyma versus stroma in human-murine xenografts is critical for elucidating dysregulated protein networks/pathways and developing therapeutics that may target these two functionally codependent compartments. Although antibody-reliant technologies (e.g., immunohistochemistry, imaging mass cytometry) are capable of distinguishing tumor-proper versus stromal proteins, the breadth or extent of targets is limited. Here, we report an antibody-free targeted cross-species glycoproteomic (TCSG) approach that enables direct dissection of human tumor parenchyma from murine tumor stroma at the molecular/protein level in tumor xenografts at a selectivity rate presently unattainable by other means. This approach was used to segment/dissect and obtain the protein complement phenotype of the tumor stroma and parenchyma of the metastatic human lung adenocarcinoma A549 xenograft, with no need for tissue microdissection prior to mass-spectrometry analysis. An extensive molecular map of the tumor proper and the associated microenvironment was generated along with the top functional N-glycosylated protein networks enriched in each compartment. Importantly, immunohistochemistry-based cross-validation of selected parenchymal and stromal targets applied on human tissue samples of lung adenocarcinoma and normal adjacent tissue is indicative of a noteworthy translational capacity for this unique approach that may facilitate identifications of novel targets for next generation antibody therapies and development of real time preclinical tumor models.
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Affiliation(s)
- Xiaoying Ye
- National Cancer Institute RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Brian T. Luke
- Advanced Biomedical Computing Center, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Bih-Rong Wei
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Jan A. Kaczmarczyk
- Cancer Research Technology Program, Antibody Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Jadranka Loncarek
- Laboratory of Protein Dynamics and Signaling, Center for Cancer Research, National Cancer Institute, Frederick, MD 21702, USA
| | - Jennifer E. Dwyer
- Laboratory of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Donald J. Johann
- Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72209, USA
| | - Richard G. Saul
- Cancer Research Technology Program, Antibody Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Dwight V. Nissley
- National Cancer Institute RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Frank McCormick
- UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94158, USA
| | - Gordon R. Whiteley
- National Cancer Institute RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
| | - Josip Blonder
- National Cancer Institute RAS Initiative, Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD 21702, USA
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Dard L, Bellance N, Lacombe D, Rossignol R. RAS signalling in energy metabolism and rare human diseases. BIOCHIMICA ET BIOPHYSICA ACTA-BIOENERGETICS 2018; 1859:845-867. [PMID: 29750912 DOI: 10.1016/j.bbabio.2018.05.003] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 04/12/2018] [Accepted: 05/03/2018] [Indexed: 02/07/2023]
Abstract
The RAS pathway is a highly conserved cascade of protein-protein interactions and phosphorylation that is at the heart of signalling networks that govern proliferation, differentiation and cell survival. Recent findings indicate that the RAS pathway plays a role in the regulation of energy metabolism via the control of mitochondrial form and function but little is known on the participation of this effect in RAS-related rare human genetic diseases. Germline mutations that hyperactivate the RAS pathway have been discovered and linked to human developmental disorders that are known as RASopathies. Individuals with RASopathies, which are estimated to affect approximately 1/1000 human birth, share many overlapping characteristics, including cardiac malformations, short stature, neurocognitive impairment, craniofacial dysmorphy, cutaneous, musculoskeletal, and ocular abnormalities, hypotonia and a predisposition to developing cancer. Since the identification of the first RASopathy, type 1 neurofibromatosis (NF1), which is caused by the inactivation of neurofibromin 1, several other syndromes have been associated with mutations in the core components of the RAS-MAPK pathway. These syndromes include Noonan syndrome (NS), Noonan syndrome with multiple lentigines (NSML), which was formerly called LEOPARD syndrome, Costello syndrome (CS), cardio-facio-cutaneous syndrome (CFC), Legius syndrome (LS) and capillary malformation-arteriovenous malformation syndrome (CM-AVM). Here, we review current knowledge about the bioenergetics of the RASopathies and discuss the molecular control of energy homeostasis and mitochondrial physiology by the RAS pathway.
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Affiliation(s)
- L Dard
- Bordeaux University, 33000 Bordeaux, France; INSERM U1211, 33000 Bordeaux, France
| | - N Bellance
- Bordeaux University, 33000 Bordeaux, France; INSERM U1211, 33000 Bordeaux, France
| | - D Lacombe
- Bordeaux University, 33000 Bordeaux, France; INSERM U1211, 33000 Bordeaux, France; CHU de Bordeaux, Service de Génétique Médicale, F-33076 Bordeaux, France
| | - R Rossignol
- Bordeaux University, 33000 Bordeaux, France; INSERM U1211, 33000 Bordeaux, France; CELLOMET, CGFB-146 Rue Léo Saignat, Bordeaux, France.
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Yang W, Li Y, He F, Wu H. Microarray profiling of long non-coding RNA (lncRNA) associated with hypertrophic cardiomyopathy. BMC Cardiovasc Disord 2015; 15:62. [PMID: 26141701 PMCID: PMC4490660 DOI: 10.1186/s12872-015-0056-7] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2014] [Accepted: 06/11/2015] [Indexed: 11/10/2022] Open
Abstract
Background Hypertrophic cardiomyopathy (HCM) is an inherited disorder with around 1400 known mutations; however the molecular pathways leading from genotype to phenotype are not fully understood. LncRNAs, which account for approximately 98 % of human genome, are becoming increasingly interesting with regard to various diseases. However, changes in the expression of regulatory lncRNAs in HCM have not yet been reported. To identify myocardial lncRNAs involved in HCM and characterize their roles in HCM pathogenesis. Methods Myocardial tissues were obtained from 7 HCM patients and 5 healthy individuals, and lncRNA and mRNA expression profiles were analyzed using the Arraystar human lncRNA microarray. Real-time PCR was conducted to validate the expression pattern of lncRNA and mRNA. Gene ontology (GO) enrichment and KEGG analysis of mRNAs was conducted to identify the related biological modules and pathologic pathways. Results Approximately 1426 lncRNAs (965 up-regulated and 461 down-regulated) and 1715 mRNAs (896 up-regulated and 819 down-regulated) were aberrantly expressed in HCM patients with fold change > 2.0. GO analysis indicated that these lncRNAs–coexpressed mRNAs were targeted to translational process. Pathway analysis indicated that lncRNAs–coexpressed mRNAs were mostly enriched in ribosome and oxidative phosphorylation. Conclusion LncRNAs are involved in the pathogenesis of HCM through the modulation of multiple pathogenetic pathways. Electronic supplementary material The online version of this article (doi:10.1186/s12872-015-0056-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Wei Yang
- Department of Ultrasonics, The Second Hospital of Sichuan, No. 55, People's South Road, Wuhou District, 610041, Chengdu, Sichuan, China.
| | - Yuan Li
- Department of Ultrasonics, The Second Hospital of Sichuan, No. 55, People's South Road, Wuhou District, 610041, Chengdu, Sichuan, China.
| | - Fawei He
- Department of Ultrasonics, The Second Hospital of Sichuan, No. 55, People's South Road, Wuhou District, 610041, Chengdu, Sichuan, China.
| | - Haixiang Wu
- Department of Ultrasonics, The Second Hospital of Sichuan, No. 55, People's South Road, Wuhou District, 610041, Chengdu, Sichuan, China.
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Cho YT, Su H, Wu WJ, Wu DC, Hou MF, Kuo CH, Shiea J. Biomarker Characterization by MALDI-TOF/MS. Adv Clin Chem 2015; 69:209-54. [PMID: 25934363 DOI: 10.1016/bs.acc.2015.01.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mass spectrometric techniques frequently used in clinical diagnosis, such as gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, ambient ionization mass spectrometry, and matrix-assisted laser desorption ionization/time-of-flight mass spectrometry (MALDI-TOF/MS), are discussed. Due to its ability to rapidly detect large biomolecules in trace amounts, MALDI-TOF/MS is an ideal tool for characterizing disease biomarkers in biologic samples. Clinical applications of MS for the identification and characterization of microorganisms, DNA fragments, tissues, and biofluids are introduced. Approaches for using MALDI-TOF/MS to detect various disease biomarkers including peptides, proteins, and lipids in biological fluids are further discussed. Finally, various sample pretreatment methods which improve the detection efficiency of disease biomarkers are introduced.
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Affiliation(s)
- Yi-Tzu Cho
- Department of Cosmetic Applications and Management, Yuh-Ing Junior College of Health Care & Management, Kaohsiung, Taiwan
| | - Hung Su
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Wen-Jeng Wu
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Deng-Chyang Wu
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Feng Hou
- Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jentaie Shiea
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Obre E, Rossignol R. Emerging concepts in bioenergetics and cancer research: Metabolic flexibility, coupling, symbiosis, switch, oxidative tumors, metabolic remodeling, signaling and bioenergetic therapy. Int J Biochem Cell Biol 2015; 59:167-81. [DOI: 10.1016/j.biocel.2014.12.008] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2014] [Revised: 12/13/2014] [Accepted: 12/15/2014] [Indexed: 01/09/2023]
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Loirand G, Sauzeau V, Pacaud P. Small G Proteins in the Cardiovascular System: Physiological and Pathological Aspects. Physiol Rev 2013; 93:1659-720. [DOI: 10.1152/physrev.00021.2012] [Citation(s) in RCA: 78] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Small G proteins exist in eukaryotes from yeast to human and constitute the Ras superfamily comprising more than 100 members. This superfamily is structurally classified into five families: the Ras, Rho, Rab, Arf, and Ran families that control a wide variety of cell and biological functions through highly coordinated regulation processes. Increasing evidence has accumulated to identify small G proteins and their regulators as key players of the cardiovascular physiology that control a large panel of cardiac (heart rhythm, contraction, hypertrophy) and vascular functions (angiogenesis, vascular permeability, vasoconstriction). Indeed, basal Ras protein activity is required for homeostatic functions in physiological conditions, but sustained overactivation of Ras proteins or spatiotemporal dysregulation of Ras signaling pathways has pathological consequences in the cardiovascular system. The primary object of this review is to provide a comprehensive overview of the current progress in our understanding of the role of small G proteins and their regulators in cardiovascular physiology and pathologies.
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Affiliation(s)
- Gervaise Loirand
- INSERM, UMR S1087; University of Nantes; and CHU Nantes, l'Institut du Thorax, Nantes, France
| | - Vincent Sauzeau
- INSERM, UMR S1087; University of Nantes; and CHU Nantes, l'Institut du Thorax, Nantes, France
| | - Pierre Pacaud
- INSERM, UMR S1087; University of Nantes; and CHU Nantes, l'Institut du Thorax, Nantes, France
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Orenes-Piñero E, Hernández-Romero D, de Torre C, Vilchez JA, Martínez M, Romero-Aniorte AI, Climent V, García-Honrubia A, Valdés M, Marín F. Identification and confirmation of haptoglobin as a potential serum biomarker in hypertrophic cardiomyopathy using proteomic approaches. Ann Med 2013; 45:341-7. [PMID: 23701180 DOI: 10.3109/07853890.2013.792555] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION Aiming at identifying biomarkers for hypertrophic cardiomyopathy (HCM), the serum proteome was explored through a two-dimensional gel-based proteomic approach (2D-DIGE) coupled with mass spectrometry and database interrogation. METHODS Serum samples from 20 male HCM patients and their sex- and age-matched controls were cleaned from interfering components. Patients and controls were pooled in five matched groups with the same age, and proteins extracts from each pool were labelled with cyanine dyes. Then, gel images were analysed using a fluorescence scanner and proteins were identified. Tryptic peptides were analysed by capillary reversed-phase liquid chromatography coupled online with tandem mass spectrometry (MS/MS). RESULTS Four different proteins were observed to be differentially expressed between HCM patients and their matched controls. Of them, decreases in haptoglobin levels were confirmed to be associated with HCM in an independent set of 181 consecutive HCM patients from our monographic clinic and 114 controls with similar age and sex using a nephelometer-based technique. Moreover, a significant negative correlation was observed between haptoglobin and subaortic gradient, thus highlighting the role of haptoglobin in HCM. CONCLUSION All these observations point out the utility of the 2D-DIGE proteomic strategy for the identification of serum proteins indicative of the presence of cardiac injury.
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Affiliation(s)
- Esteban Orenes-Piñero
- Department of Cardiology, Hospital Universitario Virgen de la Arrixaca, Universidad de Murcia, Murcia, Spain.
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Ngounou Wetie AG, Sokolowska I, Woods AG, Wormwood KL, Dao S, Patel S, Clarkson BD, Darie CC. Automated Mass Spectrometry–Based Functional Assay for the Routine Analysis of the Secretome. ACTA ACUST UNITED AC 2013; 18:19-29. [DOI: 10.1177/2211068212454738] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Mukherjee S, Rodriguez-Canales J, Hanson J, Emmert-Buck MR, Tangrea MA, Prieto DA, Blonder J, Johann DJ. Proteomic analysis of frozen tissue samples using laser capture microdissection. Methods Mol Biol 2013; 1002:71-83. [PMID: 23625395 DOI: 10.1007/978-1-62703-360-2_6] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
The discovery of effective cancer biomarkers is essential for the development of both advanced molecular diagnostics and new therapies/medications. Finding and exploiting useful clinical biomarkers for cancer patients is fundamentally linked to improving outcomes. Towards these aims, the heterogeneous nature of tumors represents a significant problem. Thus, methods establishing an effective functional linkage between laser capture microdissection (LCM) and mass spectrometry (MS) provides for an enhanced molecular profiling of homogenous, specifically targeted cell populations from solid tumors. Utilizing frozen tissue avoids molecular degradation and bias that can be induced by other preservation techniques. Since clinical samples are often of a small quantity, tissue losses must be minimized. Therefore, all steps are carried out in the same single tube. Proteins are identified through peptide sequencing and subsequent matching against a specific proteomic database. Using such an approach enhances clinical biomarker discovery in the following ways. First, LCM allows for the complexity of a solid tumor to be reduced. Second, MS provides for the profiling of proteins, which are the ultimate bio-effectors. Third, by selecting for tumor proper or microenvironment-specific cells from clinical samples, the heterogeneity of individual solid tumors is directly addressed. Finally, since proteins are the targets of most pharmaceuticals, the enriched protein data streams can then be further analyzed for potential biomarkers, drug targets, pathway elucidation, as well as an enhanced understanding of the various pathologic processes under study. Within this context, the following method illustrates in detail a synergy between LCM and MS for an enhanced molecular profiling of solid tumors and clinical biomarker discovery.
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