Cargando…
In-Silico CLEC5A mRNA expression analysis to predict Dengue susceptibility in cancer patients
Dengue fever is the fastest-growing infectious disease in the world. It is the leading vector-borne viral neglected tropical disease. The most acute immune response to dengue virus infection is dengue shock syndrome and hemorrhagic fever, which is due to the activation of CLEC5A C-type lectin domain...
Autores principales: | Suchanti, Surabhi, Stephen, Bjorn John, Chaurasia, Tejulal Prasad, Raghuwanshi, Amit Prakash, Singh, Gyanendra, Singh, Abhijeet, Mishra, Rajeev |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320400/ https://www.ncbi.nlm.nih.gov/pubmed/37415850 http://dx.doi.org/10.1016/j.bbrep.2023.101501 |
Ejemplares similares
-
In silico prediction of COVID-19 cytokine storm in lung cancer types
por: Suchanti, Surabhi, et al.
Publicado: (2022) -
Epigenetic changes in fibroblasts drive cancer metabolism and differentiation
por: Mishra, Rajeev, et al.
Publicado: (2019) -
Extracellular vesicles from CLEC2-activated platelets enhance dengue virus-induced lethality via CLEC5A/TLR2
por: Sung, Pei-Shan, et al.
Publicado: (2019) -
CLEC5A is critical for dengue virus-induced osteoclast activation and bone homeostasis
por: Huang, Ya-Lang, et al.
Publicado: (2016) -
In Silico Design of siRNAs for Silencing CLEC5A Receptor as a Potential Therapeutic Approach Against Dengue and Japanese Encephalitis Virus Infection in Human
por: Yasmin, Tahirah, et al.
Publicado: (2022)