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Yang L, Gao H, Wu K, Zhang H, Li C, Tang L. Identification of Cancerlectins By Using Cascade Linear Discriminant Analysis and Optimal g-gap Tripeptide Composition. Curr Bioinform 2020. [DOI: 10.2174/1574893614666190730103156] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Background:
Lectins are a diverse group of glycoproteins or glycoconjugate proteins
that can be extracted from plants, invertebrates and higher animals. Cancerlectins, a kind of lectins,
which play a key role in the process of tumor cells interacting with each other and are being employed
as therapeutic agents. A full understanding of cancerlectins is significant because it provides
a tool for the future direction of cancer therapy.
Objective:
To develop an accurate and practically useful timesaving tool to identify cancerlectins.
A novel sequence-based method is proposed along with a correlative webserver to access the proposed
tool.
Methods:
Firstly, protein features were extracted in a newly feature building way termed, g-gap
tripeptide composition. After which a proposed cascade linear discriminant analysis (Cascade
LDA) is used to alleviate the high dimensional difficulties with the Analysis Of Variance (ANOVA)
as a feature importance criterion. Finally, Support Vector Machine (SVM) is used as the classifier
to identify cancerlectins.
Results:
The proposed method achieved an accuracy of 91.34% with sensitivity of 89.89%, specificity
of 92.48% and an 0.8318 Mathew’s correlation coefficient based on only 13 fusion features
in jackknife cross validation, the result of which is superior to other published methods in this domain.
Conclusion:
In this study, a new method based only on primary structure of protein is proposed
and experimental results show that it could be a promising tool to identify cancerlectins. An openaccess
webserver is made available in this work to facilitate other related works.
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Affiliation(s)
- Liangwei Yang
- Center for Informational Biology, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Hui Gao
- Center for Informational Biology, School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
| | - Keyu Wu
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Haotian Zhang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Changyu Li
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Lixia Tang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
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Salunkhe V, Mahajan A, Prakash N, Pradeep GL, Patil R, Gajdhar SK. Galectin-1 expression in oral squamous cell carcinoma: An immunohistochemical study. J Oral Maxillofac Pathol 2020; 24:186. [PMID: 32508476 PMCID: PMC7269305 DOI: 10.4103/jomfp.jomfp_240_19] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 09/23/2019] [Accepted: 12/18/2019] [Indexed: 12/15/2022] Open
Abstract
Context: Oral squamous cell carcinoma (OSCC) of the head and neck are a heterogeneous group of neoplasms with an increasing rate of mortality and morbidity. OSCCs are characterized by a high degree of local invasiveness and metastasis to cervical lymph nodes but show a lower rate of distant metastasis. Galectin-1 (Gal-1), a β-galactoside-binding lectin, is known to regulate tumor cell growth, angiogenesis, mediate cell-cell or cell-extracellular matrix adhesion and promote cancer cell migration. Aims: This study aims to evaluate the Gal-1 expression in different clinical stages and histological grades of OSCC. Settings and Design: Forty histopathologically diagnosed cases of OSCC, including 16 cases of well-differentiated, 18 moderately differentiated and 6 poorly differentiated carcinomas, were included in the study group. Materials and Methods: The samples were subjected to staining using primary mouse monoclonal antibodies against Gal-1 and visualized using polymer-HRP detection system. Statistical Analysis: The nonparametric Mann–Whitney U-test and Kruskal–Wallis ANOVA test were used for the statistical analysis. Results: Gal-1 expression was higher in advanced stages of OSCC, and the results were statistically significant. Immunoexpression of Gal-1 increased with advancing histological grades of OSCC with statistically significant results. Conclusion: Gal-1 plays an important role in invasion, metastasis and as a prognostic marker.
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Affiliation(s)
- Vaibhavi Salunkhe
- Department of Oral and Maxillofacial Pathology, MGV's K.B.H. Dental College and Hospital, Nashik, Maharashtra, India
| | - Aarti Mahajan
- Department of Oral and Maxillofacial Pathology, MGV's K.B.H. Dental College and Hospital, Nashik, Maharashtra, India
| | - Nilima Prakash
- Department of Oral and Maxillofacial Pathology, MGV's K.B.H. Dental College and Hospital, Nashik, Maharashtra, India
| | - G L Pradeep
- Department of Oral and Maxillofacial Pathology, MGV's K.B.H. Dental College and Hospital, Nashik, Maharashtra, India
| | - Rekha Patil
- Department of Oral and Maxillofacial Pathology, MGV's K.B.H. Dental College and Hospital, Nashik, Maharashtra, India
| | - Sajda Khan Gajdhar
- Department of Oral Pathology and Microbiology, Ibn Sina National College for Medical Studies, Jeddah, Kingdom of Saudi Arabia
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Lai HY, Chen XX, Chen W, Tang H, Lin H. Sequence-based predictive modeling to identify cancerlectins. Oncotarget 2018; 8:28169-28175. [PMID: 28423655 PMCID: PMC5438640 DOI: 10.18632/oncotarget.15963] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 02/24/2017] [Indexed: 11/25/2022] Open
Abstract
Lectins are a diverse type of glycoproteins or carbohydrate-binding proteins that have a wide distribution to various species. They can specially identify and exclusively bind to a certain kind of saccharide groups. Cancerlectins are a group of lectins that are closely related to cancer and play a major role in the initiation, survival, growth, metastasis and spread of tumor. Several computational methods have emerged to discriminate cancerlectins from non-cancerlectins, which promote the study on pathogenic mechanisms and clinical treatment of cancer. However, the predictive accuracies of most of these techniques are very limited. In this work, by constructing a benchmark dataset based on the CancerLectinDB database, a new amino acid sequence-based strategy for feature description was developed, and then the binomial distribution was applied to screen the optimal feature set. Ultimately, an SVM-based predictor was performed to distinguish cancerlectins from non-cancerlectins, and achieved an accuracy of 77.48% with AUC of 85.52% in jackknife cross-validation. The results revealed that our prediction model could perform better comparing with published predictive tools.
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Affiliation(s)
- Hong-Yan Lai
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin-Xin Chen
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
| | - Wei Chen
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China.,Department of Physics, School of Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Tangshan, China
| | - Hua Tang
- Department of Pathophysiology, Southwest Medical University, Luzhou, China
| | - Hao Lin
- Key Laboratory for Neuro-Information of Ministry of Education, School of Life Science and Technology, Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
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Une S, Nonaka K, Akiyama J. Lectin Isolated from Japanese Red Sword Beans (Canavalia gladiata) as a Potential Cancer Chemopreventive Agent. J Food Sci 2018; 83:837-843. [PMID: 29437230 DOI: 10.1111/1750-3841.14057] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 12/05/2017] [Accepted: 01/01/2018] [Indexed: 11/29/2022]
Abstract
In this study, we investigated the chemical and biological profile of lectin isolated from Japanese red sword beans (Canavalia gladiata; RSBs). RSB lectin was purified using maltamyl-Sepharose 4B and subjected to amino acid composition and partial amino acid sequencing analyses, and evaluated for blood and carbohydrate specificity, mitogenic activity, splenic natural killer (NK) cell activity, and its effect on B16 melanoma cell proliferation, compared with Concanavalin A (Con A). The amino acid composition and sequences of RSB lectin were similar to those of Con A. RSB lectin showed specificity to mannose, glucose, maltose, methyl-D-mannoside, and thyroglobulin, but not rhamnose, using mouse, sheep, and rabbit erythrocytes. Compared with Con A, RSB lectin showed low resistance to proteases and to temperatures greater than 70 °C, but high mitogenic activity for mouse splenic cells. Notably, while treatment with RSB lectin and Con A (0.01 and 0.1 μg/mL) promoted similar levels of splenic NK cell activity, which were higher than that observed in the control (0 μg/mL) and interleukin 2 (IL-2) (25 U)-treated populations, RBS lectin exerted a significantly stronger anti-proliferative effect than Con A at a concentration of 125.0 μg per well. Overall, our results show that RSB lectin might exert immunological effects on mouse splenic cells and could thus be used as a potential cancer chemopreventive agent. PRACTICAL APPLICATION Japanese red sword bean (RSB) is a tropical perennial legume consumed in many Asian countries. RSB lectin shows specificity to mannose, glucose, maltose, methyl-d-mannoside, and thyroglobulin, but not to rhamnose, using mouse, sheep, and rabbit erythrocytes. RSB lectin exhibits similarities to Concanavalin A in amino acid composition and sequence, shows mitogenic activity for mouse splenic cells and strong anti-proliferative activity for B16 melanoma cells, and also enhances the activity of splenic natural killer (NK) cells against YAC-1 cells. Thus, RSB lectin has the potential to be used as a bioactive protein in medical research.
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Affiliation(s)
- Satsuki Une
- the Department of Living Science, Shujitsu Junior Coll., 1-6-1 Nishigawara Okayama, Okayama 703-8516, Japan
| | - Koji Nonaka
- the Department of Physical Therapy, Kyoto Tachibana Univ., 34 Yamada-cho, Oyake, Yamashina-ku, Kyoto, 607-8175, Japan
| | - Junich Akiyama
- the Department of Physical Therapy, Kibi International Univ., 8 Iga-cho Takahasi, Okayama, 716-0018, Japan
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Singh RS, Bhari R, Kaur R. Purification, characterization, and mitogenic potential of a mucin-specific mycelial lectin from Aspergillus sparsus. Appl Biochem Biotechnol 2014; 175:1938-47. [PMID: 25432347 DOI: 10.1007/s12010-014-1419-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Accepted: 11/17/2014] [Indexed: 11/29/2022]
Abstract
Lectins are carbohydrate binding proteins or glycoproteins that bind reversibly to specific carbohydrates present on the apposing cells, which is responsible for their ability to agglutinate red blood cells, lymphocytes, fibroblasts, etc. Due to their carbohydrate specificity, lectins have been used for purification and characterization of glycoproteins like antibodies, cytokines, tumor-associated glycoproteins, hormones, inhibitors, growth factors, various enzymes, membrane proteins (receptors), or even toxins and viruses. In the present study, a mycelial lectin from Aspergillus sparsus was purified, characterized, and evaluated for its mitogenic potential. Lectin could be effectively purified 17.8-fold in a single-step using affinity chromatography on mucin-sepharose column. Lectin migrated as a single band in sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) with an apparent molecular mass of 100.2 kDa. Lectin showed pH optima of 6.5-8.0, and optimum temperature was determined to be 20-30 °C. Lectin was stable within a pH range of 5.5-10.0 and showed fairly good thermostability. Lectin activity was unaffected in the presence of EDTA, while activity reduced upon interaction with denaturants. MTT assay revealed strong mitogenic potential of A. sparsus lectin at a concentration up to 100 μg/ml.
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Affiliation(s)
- Ram Sarup Singh
- Carbohydrate and Protein Biotechnology Laboratory, Department of Biotechnology, Punjabi University, Patiala, 147 002, Punjab, India,
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Ferents IV, Brodyak IV, Lyuta MY, Sybirna NA. Structural and quantitative changes of carbohydrate chain of erythrocyte membrane glycoproteins in experimental diabetes mellitus after treatment with agmatine. CYTOL GENET+ 2013. [DOI: 10.3103/s0095452713040051] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Pinto LS, Nagano CS, Oliveira TM, Moura TR, Sampaio AH, Debray H, Pinto VP, Dellagostin OA, Cavada BS. Purification and molecular cloning of a new galactose-specific lectin from Bauhinia variegata seeds. J Biosci 2008; 33:355-63. [DOI: 10.1007/s12038-008-0055-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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