All Outputs (26)

Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep (2018)
Journal Article
Mansbridge, N., Mitsch, J., Bollard, N., Ellis, K., Miguel-Pacheco, G. G., Dottorini, T., & Kaler, J. (2018). Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep. Sensors, 18(10), Article 3532. https://doi.org/10.3390/s18103532

Grazing and ruminating are the most important behaviours for ruminants, as they spend most of their daily time budget performing these. Continuous surveillance of eating behaviour is an important means for monitoring ruminant health, productivity and... Read More about Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep.

A recombinant Fasciola gigantica 14-3-3 epsilon protein (rFg14-3-3e) modulates various functions of goat peripheral blood mononuclear cells (2018)
Journal Article
Tian, A., Lu, M., Calderón-Mantilla, G., Petsalaki, E., Dottorini, T., Tian, X., …Zhu, X. (2018). A recombinant Fasciola gigantica 14-3-3 epsilon protein (rFg14-3-3e) modulates various functions of goat peripheral blood mononuclear cells. Parasites and Vectors, 11(1), https://doi.org/10.1186/s13071-018-2745-4

Background The molecular structure of Fasciola gigantica 14-3-3 protein has been characterized. However, the involvement of this protein in parasite pathogenesis remains elusive and its effect on the functions of innate immune cells is unknown. We... Read More about A recombinant Fasciola gigantica 14-3-3 epsilon protein (rFg14-3-3e) modulates various functions of goat peripheral blood mononuclear cells.

Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour (2018)
Journal Article
Walton, E., Casey, C., Mitsch, J., Vázquez-Diosdado, J. A., Yan, J., Dottorini, T., …Kaler, J. (2018). Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour. Royal Society Open Science, 5(2), https://doi.org/10.1098/rsos.171442

Automated behavioural classification and identification through sensors has the potential to improve health and welfare of the animals. Position of a sensor, sampling frequency and window size of segmented signal data has a major impact on classifica... Read More about Evaluation of sampling frequency, window size and sensor position for classification of sheep behaviour.

VEGF and LPS synergistically silence inflammatory response to Plasmodium berghei infection and protect against cerebral malaria (2015)
Journal Article
Canavese, M., Dottorini, T., & Crisanti, A. (2015). VEGF and LPS synergistically silence inflammatory response to Plasmodium berghei infection and protect against cerebral malaria. Pathogens and Global Health, 109(6), doi:10.1179/2047773215Y.0000000018

Malaria infection induces, alongside endothelial damage and obstruction hypoxia, a potent inflammatory response similar to that observed in other systemic diseases caused by bacteria and viruses. Accordingly, it is increasingly recognised that cerebr... Read More about VEGF and LPS synergistically silence inflammatory response to Plasmodium berghei infection and protect against cerebral malaria.

CluGene: A Bioinformatics Framework for the Identification of Co-Localized, Co-Expressed and Co-Regulated Genes Aimed at the Investigation of Transcriptional Regulatory Networks from High-Throughput Expression Data (2013)
Journal Article
Dottorini, T., Palladino, P., Senin, N., Persampieri, T., Spaccapelo, R., & Crisanti, A. (2013). CluGene: A Bioinformatics Framework for the Identification of Co-Localized, Co-Expressed and Co-Regulated Genes Aimed at the Investigation of Transcriptional Regulatory Networks from High-Throughput Expression Data. PLoS ONE, 8(6), doi:10.1371/journal.pone.0066196

The full understanding of the mechanisms underlying transcriptional regulatory networks requires unravelling of complex causal relationships. Genome high-throughput technologies produce a huge amount of information pertaining gene expression and regu... Read More about CluGene: A Bioinformatics Framework for the Identification of Co-Localized, Co-Expressed and Co-Regulated Genes Aimed at the Investigation of Transcriptional Regulatory Networks from High-Throughput Expression Data.

Regulation of Anopheles gambiae male accessory gland genes influences postmating response in female (2012)
Journal Article
Dottorini, T., Persampieri, T., Palladino, P., Baker, D. A., Spaccapelo, R., Senin, N., & Crisanti, A. (2013). Regulation of Anopheles gambiae male accessory gland genes influences postmating response in female. FASEB Journal, 27(1), 86-97. doi:10.1096/fj.12-219444

In Drosophila, the accessory gland proteins (Acps) secreted from the male accessory glands (MAGs) and transferred along with sperm into the female reproductive tract have been implicated in triggering postmating behavioral changes, including refracto... Read More about Regulation of Anopheles gambiae male accessory gland genes influences postmating response in female.