2021
Delgado, Maria Soledad; Perales, Celia; García-Crespo, Carlos; Soria, María Eugenia; Gallego, Isabel; Ávila, Ana Isabel; Martínez-González, Brenda; Vázquez-Sirvent, Lucía; López-Galíndez, Cecilio; Morán, Federico; Domingo, Esteban; Neuman, Benjamin W.
A Two-Level, Intramutant Spectrum Haplotype Profile of Hepatitis C Virus Revealed by Self-Organized Maps Journal Article
In: Microbiology Spectrum, vol. 9, no. 3, pp. e01459-21, 2021.
Abstract | Links | BibTeX | Tags: Data Projection, Health, Self-organizing map
@article{doi:10.1128/Spectrum.01459-21,
title = {A Two-Level, Intramutant Spectrum Haplotype Profile of Hepatitis C Virus Revealed by Self-Organized Maps},
author = {Maria Soledad Delgado and Celia Perales and Carlos García-Crespo and María Eugenia Soria and Isabel Gallego and Ana Isabel Ávila and Brenda Martínez-González and Lucía Vázquez-Sirvent and Cecilio López-Galíndez and Federico Morán and Esteban Domingo and Benjamin W. Neuman},
doi = {10.1128/Spectrum.01459-21 URL = https://journals.asm.org/doi/abs/10.1128/Spectrum.01459-21},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {Microbiology Spectrum},
volume = {9},
number = {3},
pages = {e01459-21},
abstract = {The study provides for the first time the haplotype profile and its variation in the course of its adaptation to a cell culture environment in the absence of external selective constraints. The deep sequencing-based self-organized maps document a two-layer haplotype distribution with an ample basal platform and a lower number of protruding peaks. RNA viruses replicate as complex mutant spectra termed viral quasispecies. The frequency of each individual genome in a mutant spectrum depends on its rate of generation and its relative fitness in the replicating population ensemble. The advent of deep sequencing methodologies allows for the first-time quantification of haplotype abundances within mutant spectra. There is no information on the haplotype profile of the resident genomes and how the landscape evolves when a virus replicates in a controlled cell culture environment. Here, we report the construction of intramutant spectrum haplotype landscapes of three amplicons of the NS5A-NS5B coding region of hepatitis C virus (HCV). Two-dimensional (2D) neural networks were constructed for 44 related HCV populations derived from a common clonal ancestor that was passaged up to 210 times in human hepatoma Huh-7.5 cells in the absence of external selective pressures. The haplotype profiles consisted of an extended dense basal platform, from which a lower number of protruding higher peaks emerged. As HCV increased its adaptation to the cells, the number of haplotype peaks within each mutant spectrum expanded, and their distribution shifted in the 2D network. The results show that extensive HCV replication in a monotonous cell culture environment does not limit HCV exploration of sequence space through haplotype peak movements. The landscapes reflect dynamic variation in the intramutant spectrum haplotype profile and may serve as a reference to interpret the modifications produced by external selective pressures or to compare with the landscapes of mutant spectra in complex in vivo environments. IMPORTANCE The study provides for the first time the haplotype profile and its variation in the course of virus adaptation to a cell culture environment in the absence of external selective constraints. The deep sequencing-based self-organized maps document a two-layer haplotype distribution with an ample basal platform and a lower number of protruding peaks. The results suggest an inferred intramutant spectrum fitness landscape structure that offers potential benefits for virus resilience to mutational inputs.},
keywords = {Data Projection, Health, Self-organizing map},
pubstate = {published},
tppubtype = {article}
}
2014
Lorenzo-Redondo, Ramón; Delgado, Maria Soledad; Morán, Federico; Lopez-Galindez, Cecilio
Realistic Three Dimensional Fitness Landscapes Generated by Self Organizing Maps for the Analysis of Experimental HIV-1 Evolution Journal Article
In: 2014.
Links | BibTeX | Tags: Data Projection, Health, Self-organizing map
@article{Lorenzo-Redondo2014,
title = {Realistic Three Dimensional Fitness Landscapes Generated by Self Organizing Maps for the Analysis of Experimental HIV-1 Evolution},
author = {Ramón Lorenzo-Redondo and Maria Soledad Delgado and Federico Morán and Cecilio Lopez-Galindez},
url = {https://plos.figshare.com/articles/dataset/_Realistic_Three_Dimensional_Fitness_Landscapes_Generated_by_Self_Organizing_Maps_for_the_Analysis_of_Experimental_HIV_1_Evolution_/948357},
doi = {10.1371/journal.pone.0088579},
year = {2014},
date = {2014-01-01},
urldate = {2014-01-01},
keywords = {Data Projection, Health, Self-organizing map},
pubstate = {published},
tppubtype = {article}
}
2012
Menéndez, Héctor D; Bello-Orgaz, Gema; Camacho, David
Features selection from high-dimensional web data using clustering analysis Inproceedings
In: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, pp. 20:1–20:9, ACM, New York, NY, USA, 2012, ISSN: 978-1-4503-0915-8.
Links | BibTeX | Tags: Clustering, Data Analysis, Data Projection, Feature Selection, Sports, Web Mining
@inproceedings{Menendez:2012:FSH:2254129.2254155,
title = {Features selection from high-dimensional web data using clustering analysis},
author = {Héctor D Menéndez and Gema Bello-Orgaz and David Camacho},
url = {http://doi.acm.org/10.1145/2254129.2254155},
issn = {978-1-4503-0915-8},
year = {2012},
date = {2012-01-01},
urldate = {2012-01-01},
booktitle = {Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics},
pages = {20:1--20:9},
publisher = {ACM},
address = {New York, NY, USA},
series = {WIMS '12},
keywords = {Clustering, Data Analysis, Data Projection, Feature Selection, Sports, Web Mining},
pubstate = {published},
tppubtype = {inproceedings}
}