about
Wolbachia infections in natural Anopheles populations affect egg laying and negatively correlate with Plasmodium developmentThe reproductive tracts of two malaria vectors are populated by a core microbiome and by gender- and swarm-enriched microbial biomarkersMolecular evolution of a gene cluster of serine proteases expressed in the Anopheles gambiae female reproductive tractFunctional analysis and molecular dynamics simulation of LOX-1 K167N polymorphism reveal alteration of receptor activity.Transglutaminase-mediated semen coagulation controls sperm storage in the malaria mosquito.Evidence of natural Wolbachia infections in field populations of Anopheles gambiaeMolecular characterization and evolution of a gene family encoding male-specific reproductive proteins in the African malaria vector Anopheles gambiae.Sexual transfer of the steroid hormone 20E induces the postmating switch in Anopheles gambiaeThe interaction between a sexually transferred steroid hormone and a female protein regulates oogenesis in the malaria mosquito Anopheles gambiae.Mating activates the heme peroxidase HPX15 in the sperm storage organ to ensure fertility in Anopheles gambiae.Function and composition of male accessory gland secretions in Anopheles gambiae: a comparison with other insect vectors of infectious diseases.The splice variant LOXIN inhibits LOX-1 receptor function through hetero-oligomerization.Vector species-specific association between natural Wolbachia infections and avian malaria in black fly populations.Rethinking the extrinsic incubation period of malaria parasites.First report of natural Wolbachia infection in the malaria mosquito Anopheles arabiensis in TanzaniaDetection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopyPrediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learningElevated Immune Gene Expression Is Associated with Poor Reproductive Success of Urban Blue TitsUsing mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis.Prediction of mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learningDetection of malaria parasites in dried human blood spots using mid-infrared spectroscopy and logistic regression analysis
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description
researcher ORCID: 0000-0002-5904-4070
@en
name
Francesco Baldini
@ast
Francesco Baldini
@en
Francesco Baldini
@es
Francesco Baldini
@nl
Francesco Baldini
@sl
type
label
Francesco Baldini
@ast
Francesco Baldini
@en
Francesco Baldini
@es
Francesco Baldini
@nl
Francesco Baldini
@sl
prefLabel
Francesco Baldini
@ast
Francesco Baldini
@en
Francesco Baldini
@es
Francesco Baldini
@nl
Francesco Baldini
@sl
P106
P1153
35620058000
P21
P31
P496
0000-0002-5904-4070