Mining the secreted and membrane transcriptome of Hyalomma dromedarii ticks for identification of potential protective antigens

Our immuno-informatics analysis identified 60 sequences common among hard tick species and encoded by H. dromedarii salivary glands. These annotated SMaT sequences of H. dromedarii will pave the way for the identification and discovery of novel potential protective antigens that are either secreted, membrane-associated or transmembrane.

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Publication Details

Journal
Parasites & Vectors
Published
2024-11-11
DOI
https://doi.org/10.1186/s13071-024-06538-5
Citations
1
Primary Topic
Vector-borne infectious diseases
Type
article
Field-Weighted Citation Impact
0.52

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article

Mining the secreted and membrane transcriptome of Hyalomma dromedarii ticks for identification of potential protective antigens

Asmaa El‐Shershaby, Nahla A. Hussein, Yasser E. Shahein, Amr E. El-Hakim et al.
1 citations
Parasites & Vectors
Vector-borne infectious diseases
0.52
article

Mining the secreted and membrane transcriptome of Hyalomma dromedarii ticks for identification of potential protective antigens

Asmaa El‐Shershaby, Nahla A. Hussein, Yasser E. Shahein, Amr E. El-Hakim, Shaimaa Abdel-Moez
article en
1 citations

Abstract

Our immuno-informatics analysis identified 60 sequences common among hard tick species and encoded by H. dromedarii salivary glands. These annotated SMaT sequences of H. dromedarii will pave the way for the identification and discovery of novel potential protective antigens that are either secreted, membrane-associated or transmembrane.

Parasites & VectorsVol. 17(1)
National Research Centre (EG), National Water Research Center (EG)
Science and Technology Development Fund
Life in Land
Openalex Percentile: Top 32%
Vector-borne infectious diseases
0.52
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