Hub members Have many expertise, covering most of the fields in bioinformatics and biostatistics. You'll find below a non-exhaustive list of these expertise
Searched keyword : Dengue virus
Related people (0)Sorry nobody has this skill yet...
Related projects (4)
Dengue is an arthropod-borne viral disease caused by dengue virus (DENV), which is transmitted by Aedes mosquitoes. Recent studies estimate that 100 million cases occur annually worldwide, making dengue the most prevalent mosquito-borne viral disease of human beings. DENV transmission results from interactions between humans, mosquitoes, viruses and their environment. If the human immune response against DENV is well studied, there are knowledge gaps in understanding how mosquitoes and DENV interact with each other. Moreover, it was shown that virus transmission does not only depend on the viral strain and mosquito population but also on the specific interaction between the two partners, named genotype-by-genotype (GxG) interaction. One aim of the team is to highlight factors at the mosquito and virus levels that regulate vector competence, i.e. the ability for a mosquito to acquire viral infection and subsequently transmit the virus to a new host. To this aim, we use field-derived Aedes aegypti populations that we challenge in the lab with virus isolates from DENV infected patients. This allows us to refine our understanding of the basic biology of virus transmission by mosquitoes.
Dengue prevention relies primarily on controlling populations of the main mosquito vector, Aedes aegypti, which is failing in many parts of the world because of the lack of sustained commitment of resources and ineffective implementation. Novel entomological approaches to dengue control are being developed that aim at replacing or suppressing mosquito vector populations. Insufficient genomic resources for Ae. aegypti, however, have until now impeded progress in both basic and applied research on this medically important mosquito species. The only available reference genome for Ae. aegypti is a draft that consists of over 4,800 unassembled fragments with incomplete annotation. Moreover, the inbred Ae. aegypti laboratory strain that was sequenced does not universally represent the considerable genetic and ecological diversity of the species worldwide. The large size of the genome and its high content in repeat-rich sequences of transposable elements was a major difficulty to assemble the Ae. aegypti genome sequence. In the present project, we aim to overcome this difficulty using a novel strategy for genome sequencing and assembly. The ultimate goal is to produce several, fully assembled, well-annotated, new Ae. aegypti reference genomes from epidemiologically relevant populations. The expected outcome is a genome reference panel including a catalog of species-wide genetic variation that will significantly improve genomic resources for Ae. aegypti research and help address a broad range of biological questions related to Ae. aegypti vectorial capacity and dengue virus transmission.
We would like to uncover associations between transcriptomic features and dengue infection outcome. In order to do so, we want to take advantage not only of our data but also of all publicly available data. A main challenge is to translate the measurements across different transcriptomic technologies into a summary expression level per gene. For this C3BI project we would like to concentrate on the problem of mapping probe IDs into a common identifier for all experiments.
As a result of combined climate change and globalization (increased flow of travelers and goods), the distribution of the mosquito Aedes albopictus is expanding significantly outside tropical regions.