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Prakash A, García-Seisdedos D, Wang S, Kundu DJ, Collins A, George N, Moreno P, Papatheodorou I, Jones AR, Vizcaíno JA. Integrated View of Baseline Protein Expression in Human Tissues. J Proteome Res 2023; 22:729-742. [PMID: 36577097 PMCID: PMC9990129 DOI: 10.1021/acs.jproteome.2c00406] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
The availability of proteomics datasets in the public domain, and in the PRIDE database, in particular, has increased dramatically in recent years. This unprecedented large-scale availability of data provides an opportunity for combined analyses of datasets to get organism-wide protein abundance data in a consistent manner. We have reanalyzed 24 public proteomics datasets from healthy human individuals to assess baseline protein abundance in 31 organs. We defined tissue as a distinct functional or structural region within an organ. Overall, the aggregated dataset contains 67 healthy tissues, corresponding to 3,119 mass spectrometry runs covering 498 samples from 489 individuals. We compared protein abundances between different organs and studied the distribution of proteins across these organs. We also compared the results with data generated in analogous studies. Additionally, we performed gene ontology and pathway-enrichment analyses to identify organ-specific enriched biological processes and pathways. As a key point, we have integrated the protein abundance results into the resource Expression Atlas, where they can be accessed and visualized either individually or together with gene expression data coming from transcriptomics datasets. We believe this is a good mechanism to make proteomics data more accessible for life scientists.
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Affiliation(s)
- Ananth Prakash
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom.,Open Targets, Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - David García-Seisdedos
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - Shengbo Wang
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - Deepti Jaiswal Kundu
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - Andrew Collins
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, LiverpoolL69 7ZB, United Kingdom
| | - Nancy George
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - Pablo Moreno
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - Irene Papatheodorou
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom.,Open Targets, Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
| | - Andrew R Jones
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, LiverpoolL69 7ZB, United Kingdom
| | - Juan Antonio Vizcaíno
- European Molecular Biology Laboratory - European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom.,Open Targets, Wellcome Genome Campus, Hinxton, CambridgeCB10 1SD, United Kingdom
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2
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Matondo M, Dumas G, Maronde E. Analysis of the Human Pineal Proteome by Mass Spectrometry. Methods Mol Biol 2022; 2550:123-132. [PMID: 36180685 DOI: 10.1007/978-1-0716-2593-4_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
The human pineal gland regulates the day-night dynamics of multiple physiological processes, especially through the secretion of melatonin. Recently, using mass spectrometry-based proteomics and dedicated analysis tools, we have identified regulated proteins and signaling pathways that differ between day and night and/or between control and autistic pineal glands. This large-scale proteomic approach is the method of choice to study proteins in a biological system globally. This chapter proposes a protocol for large-scale analysis of the pineal gland proteome.
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Affiliation(s)
- Mariette Matondo
- Institut Pasteur, Université de Paris, CNRS USR2000, Proteomics Platform, Mass Spectrometry for Biology Unit, Paris, France
| | - Guillaume Dumas
- Institut Pasteur, UMR 3571 CNRS, University Paris Diderot, Paris France, Human Genetics and Cognitive Functions, Paris, France
- Computational Psychiatry, Department of Psychiatry and Addiction, University of Montreal, Montreal, Canada
| | - Erik Maronde
- Institute for Anatomy II, Faculty of Medicine, Goethe University, Frankfurt, Germany.
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3
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Dumas G, Goubran‐Botros H, Matondo M, Pagan C, Boulègue C, Chaze T, Chamot‐Rooke J, Maronde E, Bourgeron T. Mass-spectrometry analysis of the human pineal proteome during night and day and in autism. J Pineal Res 2021; 70:e12713. [PMID: 33368564 PMCID: PMC8047921 DOI: 10.1111/jpi.12713] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2020] [Revised: 12/16/2020] [Accepted: 12/18/2020] [Indexed: 12/15/2022]
Abstract
The human pineal gland regulates day-night dynamics of multiple physiological processes, especially through the secretion of melatonin. Using mass-spectrometry-based proteomics and dedicated analysis tools, we identify proteins in the human pineal gland and analyze systematically their variation throughout the day and compare these changes in the pineal proteome between control specimens and donors diagnosed with autism. Results reveal diverse regulated clusters of proteins with, among others, catabolic carbohydrate process and cytoplasmic membrane-bounded vesicle-related proteins differing between day and night and/or control versus autism pineal glands. These data show novel and unexpected processes happening in the human pineal gland during the day/night rhythm as well as specific differences between autism donor pineal glands and those from controls.
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Affiliation(s)
- Guillaume Dumas
- Human Genetics and Cognitive FunctionsInstitut PasteurUMR 3571 CNRSUniversity Paris DiderotParisFrance
- Precision Psychiatry and Social Physiology laboratoryCHU Ste‐Justine Research CenterDepartment of PsychiatryUniversity of MontrealQuebecQCCanada
| | - Hany Goubran‐Botros
- Human Genetics and Cognitive FunctionsInstitut PasteurUMR 3571 CNRSUniversity Paris DiderotParisFrance
| | - Mariette Matondo
- Institut PasteurUnité de Spectrométrie de Masse pour la Biologie (MSBio)Centre de Ressources et Recherches Technologiques (C2RT)USR 2000 CNRSParisFrance
| | - Cécile Pagan
- Paris Descartes UniversityParisFrance
- Service de Biochimie et Biologie MoléculaireINSERM U942Hôpital LariboisièreAPHPParisFrance
| | - Cyril Boulègue
- Institut PasteurUnité de Spectrométrie de Masse pour la Biologie (MSBio)Centre de Ressources et Recherches Technologiques (C2RT)USR 2000 CNRSParisFrance
| | - Thibault Chaze
- Institut PasteurUnité de Spectrométrie de Masse pour la Biologie (MSBio)Centre de Ressources et Recherches Technologiques (C2RT)USR 2000 CNRSParisFrance
| | - Julia Chamot‐Rooke
- Institut PasteurUnité de Spectrométrie de Masse pour la Biologie (MSBio)Centre de Ressources et Recherches Technologiques (C2RT)USR 2000 CNRSParisFrance
| | - Erik Maronde
- Institute for Anatomy IIFaculty of MedicineGoethe UniversityFrankfurtGermany
| | - Thomas Bourgeron
- Human Genetics and Cognitive FunctionsInstitut PasteurUMR 3571 CNRSUniversity Paris DiderotParisFrance
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4
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Agrawal A, Ravikumar R, Varun CN, Kumar M, Chatterjee O, Advani J, Gopalakrishnan L, Nagaraj S, Mohanty V, Patil AH, Sreeramulu B, Malik A, Pinto SM, Prasad TSK. Global Proteome Profiling Reveals Drug-Resistant Traits in Elizabethkingia meningoseptica: An Opportunistic Nosocomial Pathogen. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 23:318-326. [PMID: 31120389 DOI: 10.1089/omi.2019.0039] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Elizabethkingia meningoseptica is Gram-negative, rod-shaped opportunistic bacterial pathogen increasingly reported in hospital-acquired outbreaks. This bacterium is well known to thrive in the hospital environment. One of the leading causes of meningitis in pediatric and immune-compromised patients, E. meningoseptica has been noted as a "pathogen of interest" in the context of nosocomial diseases associated with device-related infections in particular. This pathogen's multidrug-resistant phenotype and attendant lack of adequate molecular mechanistic data limit the current approaches for its effective management in hospitals and public health settings. This study provides the global proteome of E. meningoseptica. The reference strain E. meningoseptica ATCC 13253 was used for proteomic analysis using high-resolution Fourier transform mass spectrometry. The study provided translational evidence for 2506 proteins of E. meningoseptica. We identified multiple metallo-β-lactamases, transcriptional regulators, and efflux transporter proteins associated with multidrug resistance. A protein Car D, which is an enzyme of the carbapenem synthesis pathway, was also discovered in E. meningoseptica. Further, the proteomics data were harnessed for refining the genome annotation. We discovered 39 novel protein-coding genes and corrected four existing translations using proteogenomic workflow. Novel translations reported in this study enhance the molecular data on this organism, thus improving current databases. We believe that the in-depth proteomic data presented in this study offer a platform for accelerated research on this pathogen. The identification of multiple proteins, particularly those involved in drug resistance, offers new future opportunities to design novel and specific antibiotics against infections caused by E. meningoseptica.
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Affiliation(s)
- Archana Agrawal
- 1 Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Raju Ravikumar
- 1 Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Chakrakodi N Varun
- 1 Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Manish Kumar
- 2 Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Oishi Chatterjee
- 2 Institute of Bioinformatics, International Technology Park, Bangalore, India.,3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.,4 School of Biotechnology, Amrita Vishwa Vidyapeetham, Kollam, India
| | - Jayshree Advani
- 2 Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Lathika Gopalakrishnan
- 2 Institute of Bioinformatics, International Technology Park, Bangalore, India.,3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.,5 Manipal Academy of Higher Education, Manipal, India
| | - Sowmya Nagaraj
- 1 Department of Neuromicrobiology, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Varshasnata Mohanty
- 3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
| | - Arun H Patil
- 2 Institute of Bioinformatics, International Technology Park, Bangalore, India.,3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.,6 School of Biotechnology, KIIT (Deemed to be University), Bhubaneswar, India
| | | | - Aubid Malik
- 8 CSIR-Indian Institute of Integrative Medicine, Jammu, India
| | - Sneha M Pinto
- 3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
| | - Thottethodi Subrahmanya Keshava Prasad
- 2 Institute of Bioinformatics, International Technology Park, Bangalore, India.,3 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
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5
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Yelamanchi SD, Tyagi A, Mohanty V, Dutta P, Korbonits M, Chavan S, Advani J, Madugundu AK, Dey G, Datta KK, Rajyalakshmi M, Sahasrabuddhe NA, Chaturvedi A, Kumar A, Das AA, Ghosh D, Jogdand GM, Nair HH, Saini K, Panchal M, Sarvaiya MA, Mohanraj SS, Sengupta N, Saxena P, Subramani PA, Kumar P, Akkali R, Reshma SV, Santhosh RS, Rastogi S, Kumar S, Ghosh SK, Irlapati VK, Srinivasan A, Radotra BD, Mathur PP, Wong GW, Satishchandra P, Chatterjee A, Gowda H, Bhansali A, Pandey A, Shankar SK, Mahadevan A, Prasad TSK. Proteomic Analysis of the Human Anterior Pituitary Gland. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2019; 22:759-769. [PMID: 30571610 DOI: 10.1089/omi.2018.0160] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The pituitary function is regulated by a complex system involving the hypothalamus and biological networks within the pituitary. Although the hormones secreted from the pituitary have been well studied, comprehensive analyses of the pituitary proteome are limited. Pituitary proteomics is a field of postgenomic research that is crucial to understand human health and pituitary diseases. In this context, we report here a systematic proteomic profiling of human anterior pituitary gland (adenohypophysis) using high-resolution Fourier transform mass spectrometry. A total of 2164 proteins were identified in this study, of which 105 proteins were identified for the first time compared with high-throughput proteomic-based studies from human pituitary glands. In addition, we identified 480 proteins with secretory potential and 187 N-terminally acetylated proteins. These are the first region-specific data that could serve as a vital resource for further investigations on the physiological role of the human anterior pituitary glands and the proteins secreted by them. We anticipate that the identification of previously unknown proteins in the present study will accelerate biomedical research to decipher their role in functioning of the human anterior pituitary gland and associated human diseases.
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Affiliation(s)
| | - Ankur Tyagi
- 2 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
| | - Varshasnata Mohanty
- 2 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
| | - Pinaki Dutta
- 3 Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Márta Korbonits
- 4 Department of Endocrinology, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom
| | - Sandip Chavan
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Jayshree Advani
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.,5 Manipal Academy of Higher Education, Manipal, India
| | - Anil K Madugundu
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.,5 Manipal Academy of Higher Education, Manipal, India.,6 Center for Molecular Medicine, National Institute of Mental Health & Neurosciences, Bangalore, India.,7 Department of Laboratory Medicine and Pathology and Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota
| | - Gourav Dey
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.,5 Manipal Academy of Higher Education, Manipal, India
| | - Keshava K Datta
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - M Rajyalakshmi
- 8 Department of Biotechnology, BMS College of Engineering, Bangalore, India
| | | | - Abhishek Chaturvedi
- 9 Department of Biochemistry, Melaka Manipal Medical College, Manipal Academy of Higher Education, Manipal, India
| | - Amit Kumar
- 10 Institute of Life Sciences, Nalco Square, Bhubaneswar, India
| | - Apabrita Ayan Das
- 11 Cell Biology and Physiology Division, Indian Institute of Chemical Biology, Kolkata, India
| | - Dhiman Ghosh
- 12 Protein Engineering and Neurobiology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology, Bombay, India
| | | | - Haritha H Nair
- 13 Division of Cancer Research, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
| | - Keshav Saini
- 14 Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi, India
| | - Manoj Panchal
- 15 Department of Life Science, Central University of South Bihar, Gaya, India
| | | | - Soundappan S Mohanraj
- 17 Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, India
| | - Nabonita Sengupta
- 18 Neuroinflammation Laboratory, National Brain Research Centre, Manesar, India
| | - Priti Saxena
- 14 Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi, India
| | | | - Pradeep Kumar
- 20 Department of Biotechnology, VBS Purvanchal University, Jaunpur, India
| | - Rakhil Akkali
- 21 Department of Biotechnology, Indian Institute of Technology, Madras, India
| | | | | | - Sangita Rastogi
- 24 Microbiology Laboratory, National Institute of Pathology, New Delhi, India
| | - Sudarshan Kumar
- 25 Proteomics and Structural Biology Laboratory, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India
| | - Susanta Kumar Ghosh
- 19 Department of Molecular Parasitology, National Institute of Malaria Research, Bangalore, India
| | | | - Anand Srinivasan
- 27 Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Bishan Das Radotra
- 28 Department of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Premendu P Mathur
- 29 Department of Biochemistry and Molecular Biology, School of Life Sciences, Pondicherry University, Pondicherry, India
| | - G William Wong
- 30 Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - Aditi Chatterjee
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Harsha Gowda
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India
| | - Anil Bhansali
- 3 Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Akhilesh Pandey
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.,5 Manipal Academy of Higher Education, Manipal, India.,6 Center for Molecular Medicine, National Institute of Mental Health & Neurosciences, Bangalore, India.,7 Department of Laboratory Medicine and Pathology and Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.,32 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.,33 Department of Biological Chemistry, Johns Hopkins University School of Medicine, Baltimore, Maryland.,34 Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.,35 Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Susarla K Shankar
- 36 Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore, India.,37 Human Brain Tissue Repository, National Institute of Mental Health and Neuro Sciences, Neurobiology Research Centre, Bangalore, India
| | - Anita Mahadevan
- 36 Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore, India.,37 Human Brain Tissue Repository, National Institute of Mental Health and Neuro Sciences, Neurobiology Research Centre, Bangalore, India
| | - T S Keshava Prasad
- 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.,2 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
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6
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Li C, Zhu X, Chen S, Chen L, Zhao Y, Jiang Y, Gao S, Wang F, Liu Z, Fan R, Sun L, Zhou X. Melatonin promotes the proliferation of GC-1 spg cells by inducing metallothionein-2 expression through ERK1/2 signaling pathway activation. Oncotarget 2017; 8:65627-65641. [PMID: 29029459 PMCID: PMC5630359 DOI: 10.18632/oncotarget.20019] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2017] [Accepted: 07/25/2017] [Indexed: 12/31/2022] Open
Abstract
Synthesized by the pineal gland, melatonin is a neurohormone implicated in diverse physiological functions via several mechanisms. However, the role of melatonin in spermatogenesis and its underlying mechanisms have yet to be completely understood. In the present study, transcriptome sequencing was performed to characterize the mechanism of melatonin-induced GC-1 spg proliferation. Gene ontology (GO) enrichment and pathway analyses were also conducted to identify the signaling pathways and biological processes involved in differential mRNA expression. Results revealed 28 differential genes. Of these genes, 11 were upregulated and 17 were downregulated. Melatonin increased the expression of metallothionein-2 (Mt2), a gene that acts as a protector to sequester nonessential toxic heavy metals. Functional investigations demonstrated that Mt2 overexpression promoted the proliferation of GC-1 spg cells, but Mt2 knockdown significantly suppressed their proliferation and increased their apoptosis. Mechanistic analysis indicated that the extracellular-signal-regulated kinase 1/2 (ERK1/2) pathway participated in melatonin-promoted proliferation of GC-1 spg cells. Therefore, melatonin induces the proliferation of GC-spg 1 cells by stimulating Mt2 expression, and this process is mediated by the ERK1/2 signaling pathway.
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Affiliation(s)
- Chunjin Li
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Xiaoling Zhu
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Shuxiong Chen
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Lu Chen
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Yun Zhao
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Yanwen Jiang
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Shan Gao
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Fengge Wang
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Zhuo Liu
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Rong Fan
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Liting Sun
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
| | - Xu Zhou
- College of Animal Sciences, Jilin Provincial Key Laboratory of Animal Embryo Engineering, Jilin University, Changchun, Jilin, 130062, P.R. China
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7
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Kumar M, Mohanty AK, Sreenivasamurthy SK, Dey G, Advani J, Pinto SM, Kumar A, Prasad TSK. Response to Blood Meal in the Fat Body of Anopheles stephensi Using Quantitative Proteomics: Toward New Vector Control Strategies Against Malaria. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2017; 21:520-530. [PMID: 28873011 DOI: 10.1089/omi.2017.0092] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Malaria remains a grand challenge for disruptive innovation in global health therapeutics and diagnostics. Anopheles stephensi is one of the major vectors of malaria in Asia. Vector and transmission control are key focus areas in the fight against malaria, a field of postgenomics research where proteomics can play a substantive role. Moreover, to identify novel strategies to control the vector population, it is necessary to understand the vector life processes at a global and molecular scale. In this context, fat body is a vital organ required for vitellogenesis, vector immunity, vector physiology, and vector-parasite interaction. Given its central role in energy metabolism, vitellogenesis, and immune function, the proteome profile of the fat body and the impact of blood meal (BM) ingestion on the protein abundances of this vital organ have not been investigated so far. Therefore, using a proteomics approach, we identified the proteins expressed in the fat body of An. stephensi and their differential expression in response to BM ingestion. In all, we identified 3,218 proteins in the fat body using high-resolution mass spectrometry, of which 483 were found to be differentially expressed in response to the BM ingestion. Bioinformatics analysis of these proteins underscored their role in amino acid metabolism, vitellogenesis, lipid transport, signal peptide processing, mosquito immunity, and oxidation-reduction processes. Interestingly, we identified five novel genes, which were found to be differentially expressed upon BM ingestion. Proteins that exhibited altered expression in the present study are potential targets for vector control strategies and development of transmission blocking vaccines in the fight against malaria.
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Affiliation(s)
- Manish Kumar
- 1 Institute of Bioinformatics , Bangalore, India .,2 Manipal University , Manipal, India
| | | | | | - Gourav Dey
- 1 Institute of Bioinformatics , Bangalore, India .,2 Manipal University , Manipal, India
| | - Jayshree Advani
- 1 Institute of Bioinformatics , Bangalore, India .,2 Manipal University , Manipal, India
| | - Sneha M Pinto
- 4 YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University , Mangalore, India
| | - Ashwani Kumar
- 3 National Institute of Malaria Research (ICMR) , Panjim, India
| | - Thottethodi Subrahmanya Keshava Prasad
- 1 Institute of Bioinformatics , Bangalore, India .,4 YU-IOB Center for Systems Biology and Molecular Medicine, Yenepoya University , Mangalore, India .,5 NIMHANS-IOB Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences , Bangalore, India
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