Next Article in Journal
Important Roles of Oligo- and Polysaccharides against SARS-CoV-2: Recent Advances
Next Article in Special Issue
To Swab or Not to Swab? The Lesson Learned in Italy in the Early Stage of the COVID-19 Pandemic
Previous Article in Journal
Consistent Implicit Time Integration for Viscoplastic Modelingof Subsidence above Hydrocarbon Reservoirs
Article

Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position

Department of Oncology, University of Torino, Via Santena 5 bis, 10126 Torino, Italy
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(8), 3511; https://doi.org/10.3390/app11083511
Received: 28 February 2021 / Revised: 7 April 2021 / Accepted: 12 April 2021 / Published: 14 April 2021
(This article belongs to the Special Issue Data-Driven Biomedical Research and Applications)
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. View Full-Text
Keywords: protein database; genomic database; amino acid content; glutamate; human chromosome 15; developmental dyslexia protein database; genomic database; amino acid content; glutamate; human chromosome 15; developmental dyslexia
Show Figures

Figure 1

MDPI and ACS Style

Vernone, A.; Ricca, C.; Pescarmona, G.; Silvagno, F. Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position. Appl. Sci. 2021, 11, 3511. https://doi.org/10.3390/app11083511

AMA Style

Vernone A, Ricca C, Pescarmona G, Silvagno F. Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position. Applied Sciences. 2021; 11(8):3511. https://doi.org/10.3390/app11083511

Chicago/Turabian Style

Vernone, Annamaria, Chiara Ricca, Gianpiero Pescarmona, and Francesca Silvagno. 2021. "Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position" Applied Sciences 11, no. 8: 3511. https://doi.org/10.3390/app11083511

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop