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Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule
Cancers are characterized by unrestricted cell division and independency of growth factor and other external signal responsiveness. Eukaryotic parental cells of tumors, on the other hand, constitute tissues and other higher structures like organs and systems and are capable of performing various fun...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346020/ https://www.ncbi.nlm.nih.gov/pubmed/22570513 http://dx.doi.org/10.6026/97320630008344 |
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author | Kalita, Pranjal Kumar, Brindha Senthil Krishnaswamy, Soundararajan Nachimuthu, Senthil Kumar |
author_facet | Kalita, Pranjal Kumar, Brindha Senthil Krishnaswamy, Soundararajan Nachimuthu, Senthil Kumar |
author_sort | Kalita, Pranjal |
collection | PubMed |
description | Cancers are characterized by unrestricted cell division and independency of growth factor and other external signal responsiveness. Eukaryotic parental cells of tumors, on the other hand, constitute tissues and other higher structures like organs and systems and are capable of performing various functions in a highly co-ordinated fashion. Hence, cancer cells may be considered as entities capable of incessant growth and cell division but lacking any evolutionarily advanced intracellular or intercellular regulation. Since receptor tyrosine kinases are highly altered and exist in deregulated/constitutively active forms in cancer cells - achieved through various epigenetic mechanisms - we hypothesize the functional RTKs in cancer cells to resemble their counterparts in more primitive species. Analysis of RTK sequences of various species and of cancer is, therefore, expected to prove this hypothesis. Association rule in data mining can reveal the hidden biological information. This study utilizes the Boolean association rule to mine the occurrence pattern of glycine, arginine and alanine in receptor tyrosine kinases (RTKs) of invertebrates, vertebrates and cancer related vertebrate RTKs based on protein sequence informations. The results reveal that vertebrate cancer RTKs resembles prokaryotes and invertebrate RTKs showing an increasing trend of glycine, alanine and decreasing trend in arginine composition. The aminoacid compositions of vertebrates: invertebrates: prokaryotes: vertebrate cancer with respect to Glycine (>=6.1) were 42.86: 50.0: 85.71: 100%, Alanine (>=6.2) were 10.72: 66.67: 85.71: 100%, whereas Arginine (>=5.9) were 21.43: 16.67: 14.29: 0%, respectively. In conclusion, results from this study supports our hypothesis that cancer cells may resemble lower organisms since functionally cancer cells are unresponsive to external signals and various regulatory mechanisms typically found in higher eukaryotes are largely absent. |
format | Online Article Text |
id | pubmed-3346020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-33460202012-05-08 Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule Kalita, Pranjal Kumar, Brindha Senthil Krishnaswamy, Soundararajan Nachimuthu, Senthil Kumar Bioinformation Hypothesis Cancers are characterized by unrestricted cell division and independency of growth factor and other external signal responsiveness. Eukaryotic parental cells of tumors, on the other hand, constitute tissues and other higher structures like organs and systems and are capable of performing various functions in a highly co-ordinated fashion. Hence, cancer cells may be considered as entities capable of incessant growth and cell division but lacking any evolutionarily advanced intracellular or intercellular regulation. Since receptor tyrosine kinases are highly altered and exist in deregulated/constitutively active forms in cancer cells - achieved through various epigenetic mechanisms - we hypothesize the functional RTKs in cancer cells to resemble their counterparts in more primitive species. Analysis of RTK sequences of various species and of cancer is, therefore, expected to prove this hypothesis. Association rule in data mining can reveal the hidden biological information. This study utilizes the Boolean association rule to mine the occurrence pattern of glycine, arginine and alanine in receptor tyrosine kinases (RTKs) of invertebrates, vertebrates and cancer related vertebrate RTKs based on protein sequence informations. The results reveal that vertebrate cancer RTKs resembles prokaryotes and invertebrate RTKs showing an increasing trend of glycine, alanine and decreasing trend in arginine composition. The aminoacid compositions of vertebrates: invertebrates: prokaryotes: vertebrate cancer with respect to Glycine (>=6.1) were 42.86: 50.0: 85.71: 100%, Alanine (>=6.2) were 10.72: 66.67: 85.71: 100%, whereas Arginine (>=5.9) were 21.43: 16.67: 14.29: 0%, respectively. In conclusion, results from this study supports our hypothesis that cancer cells may resemble lower organisms since functionally cancer cells are unresponsive to external signals and various regulatory mechanisms typically found in higher eukaryotes are largely absent. Biomedical Informatics 2012-04-30 /pmc/articles/PMC3346020/ /pubmed/22570513 http://dx.doi.org/10.6026/97320630008344 Text en © 2012 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Kalita, Pranjal Kumar, Brindha Senthil Krishnaswamy, Soundararajan Nachimuthu, Senthil Kumar Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule |
title | Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule |
title_full | Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule |
title_fullStr | Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule |
title_full_unstemmed | Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule |
title_short | Analysis of aminoacids pattern in receptor tyrosine kinase using Boolean Association Rule |
title_sort | analysis of aminoacids pattern in receptor tyrosine kinase using boolean association rule |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3346020/ https://www.ncbi.nlm.nih.gov/pubmed/22570513 http://dx.doi.org/10.6026/97320630008344 |
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