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Mostaffa NH, Suhaimi AH, Al-Idrus A. Interactomics in plant defence: progress and opportunities. Mol Biol Rep 2023; 50:4605-4618. [PMID: 36920596 DOI: 10.1007/s11033-023-08345-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Accepted: 02/15/2023] [Indexed: 03/16/2023]
Abstract
Interactomics is a branch of systems biology that deals with the study of protein-protein interactions and how these interactions influence phenotypes. Identifying the interactomes involved during host-pathogen interaction events may bring us a step closer to deciphering the molecular mechanisms underlying plant defence. Here, we conducted a systematic review of plant interactomics studies over the last two decades and found that while a substantial progress has been made in the field, plant-pathogen interactomics remains a less-travelled route. As an effort to facilitate the progress in this field, we provide here a comprehensive research pipeline for an in planta plant-pathogen interactomics study that encompasses the in silico prediction step to the validation step, unconfined to model plants. We also highlight four challenges in plant-pathogen interactomics with plausible solution(s) for each.
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Affiliation(s)
- Nur Hikmah Mostaffa
- Programme of Genetics, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Ahmad Husaini Suhaimi
- Programme of Genetics, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia
| | - Aisyafaznim Al-Idrus
- Programme of Genetics, Institute of Biological Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
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Martins-da-Silva A, Baroni M, Salomão KB, das Chagas PF, Bonfim-Silva R, Geron L, Cruzeiro GAV, da Silva WA, Corrêa CAP, Carlotti CG, de Paula Queiroz RG, Marie SKN, Brandalise SR, Yunes JA, Scrideli CA, Valera ET, Tone LG. Clinical Prognostic Implications of Wnt Hub Genes Expression in Medulloblastoma. Cell Mol Neurobiol 2023; 43:813-826. [PMID: 35366170 DOI: 10.1007/s10571-022-01217-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 03/22/2022] [Indexed: 11/03/2022]
Abstract
Medulloblastoma is the most common type of pediatric malignant primary brain tumor, and about one-third of patients die due to disease recurrence and most survivors suffer from long-term side effects. MB is clinically, genetically, and epigenetically heterogeneous and subdivided into at least four molecular subgroups: WNT, SHH, Group 3, and Group 4. We evaluated common differentially expressed genes between a Brazilian RNA-seq GSE181293 dataset and microarray GSE85217 dataset cohort of pediatric MB samples using bioinformatics methodology in order to identify hub genes of the molecular subgroups based on PPI network construction, survival and functional analysis. The main finding was the identification of five hub genes from the WNT subgroup that are tumor suppressors, and whose lower expression is related to a worse prognosis for MB patients. Furthermore, the common genes correlated with the five tumor suppressors participate in important pathways and processes for tumor initiation and progression, as well as development and differentiation, and some of them control cell stemness and pluripotency. These genes have not yet been studied within the context of MB, representing new important elements for investigation in the search for therapeutic targets, prognostic markers or for understanding of MB biology.
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Affiliation(s)
- Andrea Martins-da-Silva
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.
| | - Mirella Baroni
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Karina Bezerra Salomão
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Pablo Ferreira das Chagas
- Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Ricardo Bonfim-Silva
- Department of Surgery and Anatomy, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Lenisa Geron
- Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Gustavo Alencastro Veiga Cruzeiro
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.,Department of Pediatric Oncology, Harvard Medical School - Dana-Farber Cancer Institute, Boston, MA, USA
| | - Wilson Araújo da Silva
- Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Carolina Alves Pereira Corrêa
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Carlos Gilberto Carlotti
- Department of Surgery and Anatomy, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Rosane Gomes de Paula Queiroz
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | | | | | | | - Carlos Alberto Scrideli
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.,Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Elvis Terci Valera
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
| | - Luiz Gonzaga Tone
- Department of Pediatrics, University Hospital - Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil.,Department of Genetics, Ribeirão Preto Medical School - University of São Paulo, Ribeirão Preto, Brazil
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Smythers AL, Hicks LM. Mapping the plant proteome: tools for surveying coordinating pathways. Emerg Top Life Sci 2021; 5:203-220. [PMID: 33620075 PMCID: PMC8166341 DOI: 10.1042/etls20200270] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/07/2021] [Accepted: 02/09/2021] [Indexed: 12/14/2022]
Abstract
Plants rapidly respond to environmental fluctuations through coordinated, multi-scalar regulation, enabling complex reactions despite their inherently sessile nature. In particular, protein post-translational signaling and protein-protein interactions combine to manipulate cellular responses and regulate plant homeostasis with precise temporal and spatial control. Understanding these proteomic networks are essential to addressing ongoing global crises, including those of food security, rising global temperatures, and the need for renewable materials and fuels. Technological advances in mass spectrometry-based proteomics are enabling investigations of unprecedented depth, and are increasingly being optimized for and applied to plant systems. This review highlights recent advances in plant proteomics, with an emphasis on spatially and temporally resolved analysis of post-translational modifications and protein interactions. It also details the necessity for generation of a comprehensive plant cell atlas while highlighting recent accomplishments within the field.
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Affiliation(s)
- Amanda L Smythers
- Department of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A
| | - Leslie M Hicks
- Department of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, U.S.A
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Mapping major SARS-CoV-2 drug targets and assessment of druggability using computational fragment screening: Identification of an allosteric small-molecule binding site on the Nsp13 helicase. PLoS One 2021; 16:e0246181. [PMID: 33596235 PMCID: PMC7888625 DOI: 10.1371/journal.pone.0246181] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Accepted: 01/14/2021] [Indexed: 01/18/2023] Open
Abstract
The 2019 emergence of, SARS-CoV-2 has tragically taken an immense toll on human life and far reaching impacts on society. There is a need to identify effective antivirals with diverse mechanisms of action in order to accelerate preclinical development. This study focused on five of the most established drug target proteins for direct acting small molecule antivirals: Nsp5 Main Protease, Nsp12 RNA-dependent RNA polymerase, Nsp13 Helicase, Nsp16 2'-O methyltransferase and the S2 subunit of the Spike protein. A workflow of solvent mapping and free energy calculations was used to identify and characterize favorable small-molecule binding sites for an aromatic pharmacophore (benzene). After identifying the most favorable sites, calculated ligand efficiencies were compared utilizing computational fragment screening. The most favorable sites overall were located on Nsp12 and Nsp16, whereas the most favorable sites for Nsp13 and S2 Spike had comparatively lower ligand efficiencies relative to Nsp12 and Nsp16. Utilizing fragment screening on numerous possible sites on Nsp13 helicase, we identified a favorable allosteric site on the N-terminal zinc binding domain (ZBD) that may be amenable to virtual or biophysical fragment screening efforts. Recent structural studies of the Nsp12:Nsp13 replication-transcription complex experimentally corroborates ligand binding at this site, which is revealed to be a functional Nsp8:Nsp13 protein-protein interaction site in the complex. Detailed structural analysis of Nsp13 ZBD conformations show the role of induced-fit flexibility in this ligand binding site and identify which conformational states are associated with efficient ligand binding. We hope that this map of over 200 possible small-molecule binding sites for these drug targets may be of use for ongoing discovery, design, and drug repurposing efforts. This information may be used to prioritize screening efforts or aid in the process of deciphering how a screening hit may bind to a specific target protein.
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