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Sex-specific transcriptomic profiling of Anopheles gambiae embryos using short- and long-read RNA sequencing.

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NIAID Data Ecosystem2026-05-10 收录
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This project investigates early embryonic transcriptome dynamics in the malaria mosquito Anopheles gambiae, a major vector of human malaria. Using a pre-zygotic sexing (PZS) system, we generated male- and female-biased embryo pools that were sequenced using short-read (Illumina) and long-read (Oxford Nanopore) RNA sequencing technologies. The resulting dataset captures sex-specific transcriptional dynamics and isoform diversity during early development, providing a comprehensive resource for studies of mosquito embryogenesis and early sex determination.

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2026-01-31
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