Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position
Notwithstanding the huge amount of detailed information available in protein databases, it is not possible to automatically download a list of proteins ordered by the position of their codifying gene. This order becomes crucial when analyzing common features of proteins produced by loci or other spe...
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doaj-080dd0f4816346a4babc19d25d967a6b2021-04-14T23:03:14ZengMDPI AGApplied Sciences2076-34172021-04-01113511351110.3390/app11083511Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene PositionAnnamaria Vernone0Chiara Ricca1Gianpiero Pescarmona2Francesca Silvagno3Department of Oncology, University of Torino, Via Santena 5 bis, 10126 Torino, ItalyDepartment of Oncology, University of Torino, Via Santena 5 bis, 10126 Torino, ItalyDepartment of Oncology, University of Torino, Via Santena 5 bis, 10126 Torino, ItalyDepartment of Oncology, University of Torino, Via Santena 5 bis, 10126 Torino, ItalyNotwithstanding the huge amount of detailed information available in protein databases, it is not possible to automatically download a list of proteins ordered by the position of their codifying gene. This order becomes crucial when analyzing common features of proteins produced by loci or other specific regions of human chromosomes. In this study, we developed a new procedure that interrogates two human databases (genomic and protein) and produces a novel dataset of ordered proteins following the mapping of the corresponding genes. We validated and implemented the procedure to create a user-friendly web application. This novel data mining was used to evaluate the distribution of critical amino acid content in proteins codified by a human chromosome. For this purpose, we designed a new methodological approach called chromosome walking, which scanned the whole chromosome and found the regions producing proteins enriched in a selected amino acid. As an example of biomedical application, we investigated the human chromosome 15, which contains the locus DYX1 linked to developmental dyslexia, and we found three additional putative gene clusters whose expression could be driven by the environmental availability of glutamate. The novel data mining procedure and analysis could be exploited in the study of several human pathologies.https://www.mdpi.com/2076-3417/11/8/3511protein databasegenomic databaseamino acid contentglutamatehuman chromosome 15developmental dyslexia |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Annamaria Vernone Chiara Ricca Gianpiero Pescarmona Francesca Silvagno |
spellingShingle |
Annamaria Vernone Chiara Ricca Gianpiero Pescarmona Francesca Silvagno Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position Applied Sciences protein database genomic database amino acid content glutamate human chromosome 15 developmental dyslexia |
author_facet |
Annamaria Vernone Chiara Ricca Gianpiero Pescarmona Francesca Silvagno |
author_sort |
Annamaria Vernone |
title |
Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position |
title_short |
Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position |
title_full |
Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position |
title_fullStr |
Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position |
title_full_unstemmed |
Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position |
title_sort |
chromosome walking: a novel approach to analyse amino acid content of human proteins ordered by gene position |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-04-01 |
description |
Notwithstanding the huge amount of detailed information available in protein databases, it is not possible to automatically download a list of proteins ordered by the position of their codifying gene. This order becomes crucial when analyzing common features of proteins produced by loci or other specific regions of human chromosomes. In this study, we developed a new procedure that interrogates two human databases (genomic and protein) and produces a novel dataset of ordered proteins following the mapping of the corresponding genes. We validated and implemented the procedure to create a user-friendly web application. This novel data mining was used to evaluate the distribution of critical amino acid content in proteins codified by a human chromosome. For this purpose, we designed a new methodological approach called chromosome walking, which scanned the whole chromosome and found the regions producing proteins enriched in a selected amino acid. As an example of biomedical application, we investigated the human chromosome 15, which contains the locus DYX1 linked to developmental dyslexia, and we found three additional putative gene clusters whose expression could be driven by the environmental availability of glutamate. The novel data mining procedure and analysis could be exploited in the study of several human pathologies. |
topic |
protein database genomic database amino acid content glutamate human chromosome 15 developmental dyslexia |
url |
https://www.mdpi.com/2076-3417/11/8/3511 |
work_keys_str_mv |
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