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Sudha D, Kohansal-Nodehi M, Kovuri P, Manda SS, Neriyanuri S, Gopal L, Bhende P, Chidambaram S, Arunachalam JP. Proteomic profiling of human intraschisis cavity fluid. Clin Proteomics 2017; 14:13. [PMID: 28450823 PMCID: PMC5404285 DOI: 10.1186/s12014-017-9148-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Accepted: 04/07/2017] [Indexed: 12/24/2022] Open
Abstract
Background X-linked retinoschisis (XLRS) is a vitreoretinal degenerative disorder causing vision deterioration, due to structural defects in retina. The hallmark of this disease includes radial streaks arising from the fovea and splitting of inner retinal layers (schisis). Although these retinal changes are attributed to mutations in the retinoschisin gene, schisis is also observed in patients who do not carry mutations. In addition, the origin of intraschisis fluid, the triggering point of schisis formation and its progression are largely unknown still. So far, there is no report on the complete proteomic analysis of this fluid. Schisis fluid proteome could reflect biochemical changes in the disease condition, helping in better understanding and management of retinoschisis. Therefore it was of interest to investigate the intraschisis fluid proteome using high-resolution mass spectrometry. Methods Two male XLRS patients (aged 4 and 40 years) underwent clinical and genetic evaluation followed by surgical extraction of intraschisis fluids. The two fluid samples were resolved on a SDS-PAGE and the processed peptides were analyzed by Q-Exactive plus hybrid quadrupole-Orbitrap mass spectrometry. Functional annotation of the identified proteins was performed using Ingenuity pathway analysis software. Results Mass spectrometry analysis detected 770 nonredundant proteins in the intraschisis fluid. Retinol dehydrogenase 14 was found to be abundant in the schisis fluid. Gene ontology based analysis indicated that 19% of the intraschisis fluid proteins were localized to the extracellular matrix and 15% of the proteins were involved in signal transduction. Functional annotation identified three primary canonical pathways to be associated with the schisis fluid proteome viz., LXR/RXR activation, complement system and acute phase response signalling, which are involved in immune and inflammatory responses. Collectively, our results show that intraschisis fluid comprises specific inflammatory proteins which highly reflect the disease environment. Conclusion Based on our study, it is suggested that inflammation might play a key role in the pathogenesis of XLRS. To our knowledge, this is the first report describing the complete proteome of intraschisis fluid, which could serve as a template for future research and facilitate the development of therapeutic modalities for XLRS. Electronic supplementary material The online version of this article (doi:10.1186/s12014-017-9148-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dhandayuthapani Sudha
- SN ONGC Department of Genetics and Molecular Biology, Vision Research Foundation, Chennai, India.,School of Biotechnology, SASTRA University, Thanjavur, India
| | | | - Purnima Kovuri
- Department of Biochemistry and Molecular Biology, Pondicherry University, Puducherry, India
| | | | - Srividya Neriyanuri
- Elite School of Optometry, Unit of Medical Research Foundation, Chennai, India
| | - Lingam Gopal
- Shri Bhagwan Mahavir Vitreo-Retinal Services, Medical Research Foundation, Chennai, India
| | - Pramod Bhende
- Shri Bhagwan Mahavir Vitreo-Retinal Services, Medical Research Foundation, Chennai, India
| | | | - Jayamuruga Pandian Arunachalam
- SN ONGC Department of Genetics and Molecular Biology, Vision Research Foundation, Chennai, India.,Central Inter-Disciplinary Research Facility (CIDRF), Sri Balaji Vidyapeeth Medical University, Mahatma Gandhi Medical College and Research Institute Campus, Puducherry, India
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Subbannayya Y, Syed N, Barbhuiya MA, Raja R, Marimuthu A, Sahasrabuddhe N, Pinto SM, Manda SS, Renuse S, Manju HC, Zameer MAL, Sharma J, Brait M, Srikumar K, Roa JC, Vijaya Kumar M, Kumar KVV, Prasad TSK, Ramaswamy G, Kumar RV, Pandey A, Gowda H, Chatterjee A. Calcium calmodulin dependent kinase kinase 2 - a novel therapeutic target for gastric adenocarcinoma. Cancer Biol Ther 2015; 16:336-45. [PMID: 25756516 DOI: 10.4161/15384047.2014.972264] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Gastric cancer is one of the most common gastrointestinal malignancies and is associated with poor prognosis. Exploring alterations in the proteomic landscape of gastric cancer is likely to provide potential biomarkers for early detection and molecules for targeted therapeutic intervention. Using iTRAQ-based quantitative proteomic analysis, we identified 22 proteins that were overexpressed and 17 proteins that were downregulated in gastric tumor tissues as compared to the adjacent normal tissue. Calcium/calmodulin-dependent protein kinase kinase 2 (CAMKK2) was found to be 7-fold overexpressed in gastric tumor tissues. Immunohistochemical labeling of tumor tissue microarrays for validation of CAMKK2 overexpression revealed that it was indeed overexpressed in 94% (92 of 98) of gastric cancer cases. Silencing of CAMKK2 using siRNA significantly reduced cell proliferation, colony formation and invasion of gastric cancer cells. Our results demonstrate that CAMKK2 signals in gastric cancer through AMPK activation and suggest that CAMKK2 could be a novel therapeutic target in gastric cancer.
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Murthy KR, Goel R, Subbannayya Y, Jacob HK, Murthy PR, Manda SS, Patil AH, Sharma R, Sahasrabuddhe NA, Parashar A, Nair BG, Krishna V, Prasad TK, Gowda H, Pandey A. Proteomic analysis of human vitreous humor. Clin Proteomics 2014; 11:29. [PMID: 25097467 PMCID: PMC4106660 DOI: 10.1186/1559-0275-11-29] [Citation(s) in RCA: 92] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Accepted: 05/16/2014] [Indexed: 12/11/2022] Open
Abstract
Background The vitreous humor is a transparent, gelatinous mass whose main constituent is water. It plays an important role in providing metabolic nutrient requirements of the lens, coordinating eye growth and providing support to the retina. It is in close proximity to the retina and reflects many of the changes occurring in this tissue. The biochemical changes occurring in the vitreous could provide a better understanding about the pathophysiological processes that occur in vitreoretinopathy. In this study, we investigated the proteome of normal human vitreous humor using high resolution Fourier transform mass spectrometry. Results The vitreous humor was subjected to multiple fractionation techniques followed by LC-MS/MS analysis. We identified 1,205 proteins, 682 of which have not been described previously in the vitreous humor. Most proteins were localized to the extracellular space (24%), cytoplasm (20%) or plasma membrane (14%). Classification based on molecular function showed that 27% had catalytic activity, 10% structural activity, 10% binding activity, 4% cell and 4% transporter activity. Categorization for biological processes showed 28% participate in metabolism, 20% in cell communication and 13% in cell growth. The data have been deposited to the ProteomeXchange with identifier PXD000957. Conclusion This large catalog of vitreous proteins should facilitate biomedical research into pathological conditions of the eye including diabetic retinopathy, retinal detachment and cataract.
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Affiliation(s)
- Krishna R Murthy
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India.,Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala 690 525, India.,Vittala International Institute Of Ophthalmology, Bangalore, Karnataka 560085, India
| | - Renu Goel
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India.,Department of Biotechnology, Kuvempu University, Shankaraghatta, Karnataka 577 451, India
| | - Yashwanth Subbannayya
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India
| | - Harrys Kc Jacob
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India
| | - Praveen R Murthy
- Vittala International Institute Of Ophthalmology, Bangalore, Karnataka 560085, India
| | - Srikanth Srinivas Manda
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India.,Centre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry 605 014, India
| | - Arun H Patil
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India
| | - Rakesh Sharma
- Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences, Bangalore 560 006, India
| | | | | | - Bipin G Nair
- Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala 690 525, India
| | | | - Ts Keshava Prasad
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India.,Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, Kerala 690 525, India.,Centre of Excellence in Bioinformatics, Bioinformatics Centre, School of Life Sciences, Pondicherry University, Puducherry 605 014, India
| | - Harsha Gowda
- Institute of Bioinformatics, International Technology Park, Bangalore 560 066, India
| | - Akhilesh Pandey
- Department of Biological Chemistry, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore 21205 MD, USA.,Department of Oncology and Pathology, Johns Hopkins University School of Medicine, Baltimore 21205 MD, USA
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Manda SS, Nirujogi RS, Pinto SM, Kim MS, Datta KK, Sirdeshmukh R, Prasad TSK, Thongboonkerd V, Pandey A, Gowda H. Identification and Characterization of Proteins Encoded by Chromosome 12 as Part of Chromosome-centric Human Proteome Project. J Proteome Res 2014; 13:3166-77. [DOI: 10.1021/pr401123v] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Affiliation(s)
- Srikanth Srinivas Manda
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
- Centre
of Excellence in Bioinformatics, Bioinformatics Centre, School of
Life Sciences, Pondicherry University, Puducherry 605014, India
| | - Raja Sekhar Nirujogi
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
- Centre
of Excellence in Bioinformatics, Bioinformatics Centre, School of
Life Sciences, Pondicherry University, Puducherry 605014, India
| | - Sneha Maria Pinto
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
- Manipal University, Madhav Nagar, Manipal 576104, India
| | | | - Keshava K. Datta
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
- School of
Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India
| | - Ravi Sirdeshmukh
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
| | - T. S. Keshava Prasad
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
| | - Visith Thongboonkerd
- Medical
Proteomics Unit, Office for Research and Development, Faculty of Medicine
Siriraj Hospital, and Center for Research in Complex Systems Science, Mahidol University, Bangkok 10700, Thailand
| | - Akhilesh Pandey
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
| | - Harsha Gowda
- Institute
of Bioinformatics, International Technology Park, Bangalore 560066, India
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