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Updated: Jan 16, 2026

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
Published on: January 15, 2020
Chromatin landscape, transcriptomic and ChIP-seq profiling of Anopheles stephensi MSQ43 cell line
Varvara Lukyanchikova1,2,3,4, Miroslav Nuriddinov1,5, Anna Khabarova1
1Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.
None:
Anopheles mosquitoes are known as dominant vectors of malaria parasites and other viral and bacterial pathogens. Deciphering Anopheles genomes has opened a new era of research and allowed in-depth investigation of several molecular mechanisms involved in pathogen transmission. However, there is a lack of appropriate model systems to study specific vector-pathogen interactions at the molecular level. Even inbred mosquito colonies represent genetically heterogeneous population and require special care facilities. Insect cell cultures could serve as a useful alternative due to the ease of handling and maintenance, especially for genomic studies requiring millions of cells per experiment. Here, we provide chromatin contact maps and a dataset of epigenetic characteristics, including histone mark profiles and RNA-seq data, as well as transfection conditions and promoter specificity for the mosquito cell line MSQ43.

