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Galardi A, Stathopoulos C, Colletti M, Lavarello C, Russo I, Cozza R, Romanzo A, Carcaboso AM, Locatelli F, Petretto A, Munier FL, Di Giannatale A. Proteomics of Aqueous Humor as a Source of Disease Biomarkers in Retinoblastoma. Int J Mol Sci 2022; 23:ijms232113458. [PMID: 36362243 PMCID: PMC9659039 DOI: 10.3390/ijms232113458] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/07/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
Aqueous humor (AH) can be easily and safely used to evaluate disease-specific biomarkers in ocular disease. The aim of this study was to identify specific proteins biomarkers in the AH of retinoblastoma (RB) patients at various stages of the disease. We analyzed the proteome of 53 AH samples using high-resolution mass spectrometry. We grouped the samples according to active vitreous seeding (Group 1), active aqueous seeding (Group 2), naive RB (group 3), inactive RB (group 4), and congenital cataracts as the control (Group 5). We found a total of 889 proteins in all samples. Comparative parametric analyses among the different groups revealed three additional proteins expressed in the RB groups that were not expressed in the control group. These were histone H2B type 2-E (HISTH2B2E), InaD-like protein (PATJ), and ubiquitin conjugating enzyme E2 V1 (UBE2V1). Upon processing the data of our study with the OpenTarget Tool software, we found that glyceraldehyde 3-phosphate dehydrogenase (GAPDH) and CD44 were more highly expressed in the RB groups. Our results provide a proteome database regarding AH related to RB disease that may be used as a source of biomarkers. Further prospective studies should validate our finding in a large cohort of RB patients.
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Affiliation(s)
- Angela Galardi
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza di Sant’ Onofrio 4, 00165 Rome, Italy
| | - Christina Stathopoulos
- Jules Gonin Eye Hospital, Fondation Asile des Aveugles, University of Lausanne, 1002 Lausanne, Switzerland
| | - Marta Colletti
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza di Sant’ Onofrio 4, 00165 Rome, Italy
| | - Chiara Lavarello
- Core Facilities-Clinical Proteomics and Metabolomics, IRCCS, Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genoa, Italy
| | - Ida Russo
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza di Sant’ Onofrio 4, 00165 Rome, Italy
| | - Raffaele Cozza
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza di Sant’ Onofrio 4, 00165 Rome, Italy
| | - Antonino Romanzo
- Ophtalmology Unit, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza Sant’Onofrio 4, 00165 Rome, Italy
| | - Angel M. Carcaboso
- SJD Pediatric Cancer Center Barcelona, Hospital Sant Joan de Deu, Institut de Recerca Sant Joan de Deu, Esplugues de Llobregat, 08950 Barcelona, Spain
| | - Franco Locatelli
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza di Sant’ Onofrio 4, 00165 Rome, Italy
- Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, 00168 Rome, Italy
| | - Andrea Petretto
- Core Facilities-Clinical Proteomics and Metabolomics, IRCCS, Istituto Giannina Gaslini, Via Gerolamo Gaslini 5, 16147 Genoa, Italy
| | - Francis L. Munier
- Jules Gonin Eye Hospital, Fondation Asile des Aveugles, University of Lausanne, 1002 Lausanne, Switzerland
| | - Angela Di Giannatale
- Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Gesù, Piazza di Sant’ Onofrio 4, 00165 Rome, Italy
- Correspondence:
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Shu Y, Gao M, Zhou Y, Liu H, Sun X. DIA Comparative Proteomic Analysis of Retro-oil Fluid and Vitreous Fluid From Retinal Detachment Patients. Front Mol Biosci 2021; 8:763002. [PMID: 34926578 PMCID: PMC8678117 DOI: 10.3389/fmolb.2021.763002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 11/03/2021] [Indexed: 01/13/2023] Open
Abstract
Objectives: There have been reports of unexplained visual loss following intra-ocular silicone oil (SiO) tamponade in retinal detachment patients, yet the underlying mechanism is unknown. The aim of this study was to investigate the mechanisms behind retinal toxicity following intra-ocular SiO tamponade in retinal detachment patients. Methods and Results: Vitreous fluid samples were acquired from 27 patients (27 eyes). Twelve eyes for data-independent acquisition (DIA) were divided into four groups: pars plana vitrectomy (PPV) for rhegmatogenous retinal detachment (RD group), SiO removal after successful retinal reattachment (SO group), cataract surgery after successful retinal reattachment with sterilized air tamponade (FA group), and PPV for epiretinal membrane (ERM group). The remaining 15 eyes were used for enzyme-linked immunosorbent assay analysis. DIA was combined with two-dimensional liquid chromatography-tandem mass spectrometry to find expression changes in the proteome of vitreous. Mean number mass spectra, statistically differentially expressed proteins, gene ontology (GO), pathway representations, and protein interactions were analyzed. GO analysis showed that the protein categories of synapse organization, cell adhesion, and regulation of cell migration in the SO group were differentially expressed compared to the control or FA groups (p < 0.05). Through Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, lysosome and cell adhesion were found to be significantly enriched in the SO group compared to the FA and control groups (p < 0.05). Cadherin 2, transferrin, and lysosome function may partially contribute to silicone oil-related vision loss. Conclusion: Vision loss-inducing novel molecular signatures and pathways that may be associated with SiO toxicity were identified. Transferrin may be a potential visual outcome biomarker for SiO tamponade.
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Affiliation(s)
- Yiyang Shu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Clinical Research Center for Eye Diseases, Shanghai, China.,Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China.,Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.,Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Min Gao
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Clinical Research Center for Eye Diseases, Shanghai, China.,Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China.,Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.,Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Yifan Zhou
- Putuo People's Hospital, Tongji University, Shanghai, China
| | - Haiyun Liu
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Clinical Research Center for Eye Diseases, Shanghai, China.,Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China.,Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.,Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Xiaodong Sun
- Department of Ophthalmology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,National Clinical Research Center for Eye Diseases, Shanghai, China.,Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai, China.,Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai, China.,Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
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Weber SR, Zhao Y, Gates C, Ma J, da Veiga Leprevost F, Basrur V, Nesvizhskii AI, Gardner TW, Sundstrom JM. Proteomic Analyses of Vitreous in Proliferative Diabetic Retinopathy: Prior Studies and Future Outlook. J Clin Med 2021; 10:jcm10112309. [PMID: 34070658 PMCID: PMC8199452 DOI: 10.3390/jcm10112309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 05/20/2021] [Accepted: 05/22/2021] [Indexed: 11/16/2022] Open
Abstract
Vitreous fluid is becoming an increasingly popular medium for the study of retinal disease. Numerous studies have demonstrated that proteomic analysis of the vitreous from patients with proliferative diabetic retinopathy yields valuable molecular information regarding known and novel proteins and pathways involved in this disease. However, there is no standardized methodology for vitreous proteomic studies. Here, we share a suggested protocol for such studies and outline the various experimental and analytic methods that are currently available. We also review prior mass spectrometry-based proteomic studies of the vitreous from patients with proliferative diabetic retinopathy, discuss common pitfalls of these studies, and propose next steps for moving the field forward.
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Affiliation(s)
- Sarah R. Weber
- Department of Ophthalmology, Penn State College of Medicine, 500 University Drive, Hershey, PA 17033, USA; (S.R.W.); (Y.Z.)
- Kellogg Eye Center, University of Michigan Medical School, 1000 Wall Street, Ann Arbor, MI 48105, USA;
| | - Yuanjun Zhao
- Department of Ophthalmology, Penn State College of Medicine, 500 University Drive, Hershey, PA 17033, USA; (S.R.W.); (Y.Z.)
| | - Christopher Gates
- Bioinformatics Core, Biomedical Research Core Facilities, University of Michigan Medical School, 2800 Plymouth Road, Ann Arbor, MI 48109, USA;
| | - Jingqun Ma
- Department of Pathology, St. Jude Children’s Research Hospital, 262 Danny Thomas Place, Memphis, TN 38105, USA;
| | - Felipe da Veiga Leprevost
- Department of Pathology, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI 48109, USA; (F.d.V.L.); (V.B.); (A.I.N.)
| | - Venkatesha Basrur
- Department of Pathology, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI 48109, USA; (F.d.V.L.); (V.B.); (A.I.N.)
| | - Alexey I. Nesvizhskii
- Department of Pathology, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI 48109, USA; (F.d.V.L.); (V.B.); (A.I.N.)
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave, Ann Arbor, MI 48109, USA
| | - Thomas W. Gardner
- Kellogg Eye Center, University of Michigan Medical School, 1000 Wall Street, Ann Arbor, MI 48105, USA;
| | - Jeffrey M. Sundstrom
- Department of Ophthalmology, Penn State College of Medicine, 500 University Drive, Hershey, PA 17033, USA; (S.R.W.); (Y.Z.)
- Kellogg Eye Center, University of Michigan Medical School, 1000 Wall Street, Ann Arbor, MI 48105, USA;
- Correspondence: ; Tel.: +1-717-531-6774
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Taunk K, Kalita B, Kale V, Chanukuppa V, Naiya T, Zingde SM, Rapole S. The development and clinical applications of proteomics: an Indian perspective. Expert Rev Proteomics 2020; 17:433-451. [PMID: 32576061 DOI: 10.1080/14789450.2020.1787157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
INTRODUCTION Proteomic research has been extensively used to identify potential biomarkers or targets for various diseases. Advances in mass spectrometry along with data analytics have led proteomics to become a powerful tool for exploring the critical molecular players associated with diseases, thereby, playing a significant role in the development of proteomic applications for the clinic. AREAS COVERED This review presents recent advances in the development and clinical applications of proteomics in India toward understanding various diseases including cancer, metabolic diseases, and reproductive diseases. Keywords combined with 'clinical proteomics in India' 'proteomic research in India' and 'mass spectrometry' were used to search PubMed. EXPERT OPINION The past decade has seen a significant increase in research in clinical proteomics in India. This approach has resulted in the development of proteomics-based marker technologies for disease management in the country. The majority of these investigations are still in the discovery phase and efforts have to be made to address the intended clinical use so that the identified potential biomarkers reach the clinic. To move toward this necessity, there is a pressing need to establish some key infrastructure requirements and meaningful collaborations between the clinicians and scientists which will enable more effective solutions to address health issues specific to India.
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Affiliation(s)
- Khushman Taunk
- Proteomics Lab, National Centre for Cell Science , Pune, Maharashtra, India.,Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal , Haringhata, West Bengal, India
| | - Bhargab Kalita
- Proteomics Lab, National Centre for Cell Science , Pune, Maharashtra, India
| | - Vaikhari Kale
- Proteomics Lab, National Centre for Cell Science , Pune, Maharashtra, India
| | | | - Tufan Naiya
- Department of Biotechnology, Maulana Abul Kalam Azad University of Technology, West Bengal , Haringhata, West Bengal, India
| | - Surekha M Zingde
- CH3-53, Kendriya Vihar, Sector 11, Kharghar , Navi Mumbai, Maharashtra, India
| | - Srikanth Rapole
- Proteomics Lab, National Centre for Cell Science , Pune, Maharashtra, India
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Tandem Mass Tag (TMT)-based quantitative proteomics reveals potential targets associated with onset of Sub-clinical Mastitis in cows. Sci Rep 2020; 10:9321. [PMID: 32518370 PMCID: PMC7283279 DOI: 10.1038/s41598-020-66211-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 05/08/2020] [Indexed: 12/14/2022] Open
Abstract
Bovine milk is vital for infant nutrition and is a major component of the human diet. Bovine mastitis is a common inflammatory disease of mammary gland in cattle. It alters the immune profile of the animal and lowers the quality and yield of milk causing huge economic losses to dairy industry. The incidence of sub-clinical mastitis (SCM) is higher (25-65% worldwide) than clinical mastitis (CM) (>5%), and frequently progresses to clinical stage due to lack of sensitive and specific detection method. We used quantitative proteomics to identify changes in milk during sub-clinical mastitis, which may be potential biomarkers for developing rapid, non-invasive, sensitive detection methods. We performed comparative proteome analysis of the bovine milk, collected from the Indian hybrid cow Karan Fries. The differential proteome in the milk of Indian crossbred cows during sub-acute and clinical intramammary gland infection has not been investigated to date. Using high-resolution mass spectrometry-based quantitative proteomics of the bovine whey proteins, we identified a total of 1459 and 1358 proteins in biological replicates, out of which 220 and 157 proteins were differentially expressed between normal and infected samples. A total of 82 proteins were up-regulated and 27 proteins were down-regulated, having fold changes of ≥2 and ≤0.8 respectively. Among these proteins, overexpression of CHI3L1, LBP, GSN, GCLC, C4 and PIGR proteins was positively correlated with the events that elicit host defence system, triggering production of cytokines and inflammatory molecules. The appearance of these potential biomarkers in milk may be used to segregate affected cattle from the normal herd and may support mitigation measures for prevention of SCM and CM.
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In-depth proteome analysis of more than 12,500 proteins in buffalo mammary epithelial cell line identifies protein signatures for active proliferation and lactation. Sci Rep 2020; 10:4834. [PMID: 32179766 PMCID: PMC7075962 DOI: 10.1038/s41598-020-61521-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/25/2020] [Indexed: 12/14/2022] Open
Abstract
The mature mammary gland is made up of a network of ducts that terminates in alveoli. The innermost layer of alveoli is surrounded by the differentiated mammary epithelial cells (MECs), which are responsible for milk synthesis and secretion during lactation. However, the MECs are in a state of active proliferation during pregnancy, when they give rise to network like structures in the mammary gland. Buffalo (Bubalus bubalis) constitute a major source of milk for human consumption, and the MECs are the major precursor cells which are mainly responsible for their lactation potential. The proteome of MECs defines their functional state and suggests their role in various cellular activities such as proliferation and lactation. To date, the proteome profile of MECs from buffalo origin is not available. In the present study, we have profiled in-depth proteome of in vitro cultured buffalo MECs (BuMECs) during active proliferation using high throughput tandem mass spectrometry (MS). MS analysis identified a total of 8330, 5970, 5289, 4818 proteins in four sub-cellular fractions (SCFs) that included cytosolic (SCF-I), membranous and membranous organelle’s (SCF-II), nuclear (SCF-III), and cytoskeletal (SCF-IV). However, 792 proteins were identified in the conditioned media, which represented the secretome. Altogether, combined analysis of all the five fractions (SCFs- I to IV, and secretome) revealed a total of 12,609 non-redundant proteins. The KEGG analysis suggested that these proteins were associated with 325 molecular pathways. Some of the highly enriched molecular pathways observed were metabolic, MAPK, PI3-AKT, insulin, estrogen, and cGMP-PKG signalling pathway. The newly identified proteins in this study are reported to be involved in NOTCH signalling, transport and secretion processes.
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Sun J, Xi HY, Shao Q, Liu QH. Biomarkers in retinoblastoma. Int J Ophthalmol 2020; 13:325-341. [PMID: 32090044 DOI: 10.18240/ijo.2020.02.18] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 10/22/2019] [Indexed: 02/06/2023] Open
Abstract
Retinoblastoma (RB) is the most common intraocular malignancy of childhood caused by inactivation of the Rb genes. The prognosis of RB is better with an earlier diagnosis. Many diagnostic approaches and appropriate clinical treatments have been developed to improve clinical outcomes. However, limitations exist when utilizing current methods. Recently, many studies have identified identify new RB biomarkers which can be used in diagnosis, as prognostic indicators and may contribute to understanding the pathogenesis of RB and help determine specific treatment strategies. This review focuses on recent advances in the discovery of RB biomarkers and discusses their clinical utility and challenges from areas such as epigenetics, proteomics and radiogenomics.
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Affiliation(s)
- Jie Sun
- Department of Ophthalmology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Hui-Yu Xi
- Department of Ophthalmology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China.,Department of Ophthalmology, Xuzhou First People's Hospital of Xuzhou Medical University, Xuzhou Eye Research Institute, Xuzhou 221002, Jiangsu Province, China
| | - Qing Shao
- Department of Ophthalmology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
| | - Qing-Huai Liu
- Department of Ophthalmology, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, Jiangsu Province, China
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Ahmad MT, Zhang P, Dufresne C, Ferrucci L, Semba RD. The Human Eye Proteome Project: Updates on an Emerging Proteome. Proteomics 2019; 18:e1700394. [PMID: 29356342 DOI: 10.1002/pmic.201700394] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2017] [Revised: 01/08/2018] [Indexed: 01/05/2023]
Abstract
The human eye is a complex organ consisting of multiple compartments with unique and specialized properties that reflect their varied functions. Although there have been advancements in ocular imaging and therapeutics over the past decade, the pathogenesis of many common eye diseases remains poorly understood. Proteomics is an invaluable tool to gain insight into pathogenesis, diagnosis, and treatment of eye diseases. By 2013, when the Human Eye Proteome Project (also known as the EyeOme) was founded, there were 4842 nonredundant proteins identified in the human eye. Twenty-three recent papers on the human eye proteome were identified in PubMed searches. These papers were used to compile an updated resource of 9782 nonredundant proteins in the human eye. This updated catalogue sheds light on the molecular makeup of previously undescribed proteomes within the human eye, including optic nerve, sclera, iris, and ciliary body, while adding additional proteins to previously characterized proteomes such as aqueous humor, lens, vitreous, retina, and retinal pigment epithelium/choroid. Although considerable advances have been made to characterize the complete proteome of the human eye, additional high-quality data are needed to confirm and quantify previously discovered eye proteins in both health and disease.
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Affiliation(s)
- Meleha T Ahmad
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pingbo Zhang
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Luigi Ferrucci
- National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Richard D Semba
- Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Velez G, Tang PH, Cabral T, Cho GY, Machlab DA, Tsang SH, Bassuk AG, Mahajan VB. Personalized Proteomics for Precision Health: Identifying Biomarkers of Vitreoretinal Disease. Transl Vis Sci Technol 2018; 7:12. [PMID: 30271679 PMCID: PMC6159735 DOI: 10.1167/tvst.7.5.12] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2018] [Accepted: 07/30/2018] [Indexed: 12/14/2022] Open
Abstract
Proteomic analysis is an attractive and powerful tool for characterizing the molecular profiles of diseased tissues, such as the vitreous. The complexity of data available for analysis ranges from single (e.g., enzyme-linked immunosorbent assay [ELISA]) to thousands (e.g., mass spectrometry) of proteins, and unlike genomic analysis, which is limited to denoting risk, proteomic methods take snapshots of a diseased vitreous to evaluate ongoing molecular processes in real time. The proteome of diseased ocular tissues was recently characterized, uncovering numerous biomarkers for vitreoretinal diseases and identifying protein targets for approved drugs, allowing for drug repositioning. These biomarkers merit more attention regarding their therapeutic potential and prospective validation, as well as their value as reproducible, sensitive, and specific diagnostic markers. TRANSLATIONAL RELEVANCE Personalized proteomics offers many advantages over alternative precision-health platforms for the diagnosis and treatment of vitreoretinal diseases, including identification of molecular constituents in the diseased tissue that can be targeted by available drugs.
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Affiliation(s)
- Gabriel Velez
- Omics Laboratory, Stanford University, Palo Alto, CA, USA
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA
- Medical Scientist Training Program, University of Iowa, Iowa City, IA, USA
| | - Peter H. Tang
- Omics Laboratory, Stanford University, Palo Alto, CA, USA
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
| | - Thiago Cabral
- Department of Specialized Medicine, CCS, Federal University of Espírito Santo (UFES), Vitória, Brazil
- Vision Center Unit, Ophthalmology, EBSERH, HUCAM-UFES, Vitória, Brazil
- Department of Ophthalmology, Federal University of São Paulo (UNIFESP), São Paulo, Brazil
| | - Galaxy Y. Cho
- Frank H. Netter MD School of Medicine, Quinnipiac University, North Haven, CT, USA
- Barbara and Donald Jonas Laboratory of Stem Cells and Regenerative Medicine and Bernard & Shirlee Brown Glaucoma Laboratory, Columbia University, New York, NY, USA
- Department of Ophthalmology, Columbia University, New York, NY, USA
| | - Daniel A. Machlab
- Omics Laboratory, Stanford University, Palo Alto, CA, USA
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA
| | - Stephen H. Tsang
- Barbara and Donald Jonas Laboratory of Stem Cells and Regenerative Medicine and Bernard & Shirlee Brown Glaucoma Laboratory, Columbia University, New York, NY, USA
- Department of Ophthalmology, Columbia University, New York, NY, USA
- Department of Pathology & Cell Biology, College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | | | - Vinit B. Mahajan
- Omics Laboratory, Stanford University, Palo Alto, CA, USA
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA, USA
- Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
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Danda R, Ganapathy K, Sathe G, Madugundu AK, Krishnan UM, Khetan V, Rishi P, Gowda H, Pandey A, Subramanian K, Prasad TSK, Elchuri SV. Membrane Proteome of Invasive Retinoblastoma: Differential Proteins and Biomarkers. Proteomics Clin Appl 2018; 12:e1700101. [DOI: 10.1002/prca.201700101] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2017] [Revised: 03/22/2018] [Indexed: 11/09/2022]
Affiliation(s)
- Ravikanth Danda
- Department of Ocular Pathology, Vision Research Foundation; Sankara Nethralaya; Chennai 600006 Tamil Nadu India
- Centre for Nanotechnology and Advanced Biomaterials; SASTRA University; Tanjore 613401 Tamil Nadu India
| | - Kalaivani Ganapathy
- Department of Ocular Pathology, Vision Research Foundation; Sankara Nethralaya; Chennai 600006 Tamil Nadu India
| | - Gajanan Sathe
- Institute of Bioinformatics; International Technology Park; Bangalore 560066 Karnataka India
| | - Anil K. Madugundu
- Institute of Bioinformatics; International Technology Park; Bangalore 560066 Karnataka India
| | - Uma Maheswari Krishnan
- Centre for Nanotechnology and Advanced Biomaterials; SASTRA University; Tanjore 613401 Tamil Nadu India
| | - Vikas Khetan
- Shri Bhagwan Mahavir Vitreoretinal Services and Ocular Oncology Services, Medical Research Foundation; Sankara Nethralaya; Chennai 600006 Tamil Nadu India
| | - Pukhraj Rishi
- Shri Bhagwan Mahavir Vitreoretinal Services and Ocular Oncology Services, Medical Research Foundation; Sankara Nethralaya; Chennai 600006 Tamil Nadu India
| | - Harsha Gowda
- Institute of Bioinformatics; International Technology Park; Bangalore 560066 Karnataka India
- Manipal Academy of Higher Education (MAHE); Manipal 576104 Karnataka India
| | - Akhilesh Pandey
- McKusick-Nathans Institute of Genetic Medicine; Johns Hopkins University School of Medicine; 21205 Baltimore MD USA
- Department of Pathology; Johns Hopkins University School of Medicine; 21205 Baltimore MD USA
- Department of Oncology; Johns Hopkins University School of Medicine; 21205 Baltimore MD USA
- Department of Biological Chemistry; Johns Hopkins University School of Medicine; 21205 Baltimore MD USA
- Manipal Academy of Higher Education (MAHE); Manipal 576104 Karnataka India
| | - Krishnakumar Subramanian
- Department of Ocular Pathology, Vision Research Foundation; Sankara Nethralaya; Chennai 600006 Tamil Nadu India
| | - T. S. Keshava Prasad
- Institute of Bioinformatics; International Technology Park; Bangalore 560066 Karnataka India
| | - Sailaja V. Elchuri
- Department of Nano-Biotechnology, Vision Research Foundation; Sankara Nethralya; Chennai 600006 Tamil Nadu India
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