Open Access
Issue |
Parasite
Volume 32, 2025
|
|
---|---|---|
Article Number | 16 | |
Number of page(s) | 15 | |
DOI | https://doi.org/10.1051/parasite/2025003 | |
Published online | 26 February 2025 |
- Almeida MV, Andrade-Navarro MA, Ketting RF. 2019. , Function and evolution of Nematode RNAi pathways. Non-Coding RNA, 5(1), 1–8. [CrossRef] [PubMed] [Google Scholar]
- Anandanarayanan A, Raina OK, Lalrinkima H, Rialch A, Sankar M, Varghese A. 2017. RNA interference in Fasciola gigantica: Establishing and optimization of experimental RNAi in the newly excysted juveniles of the fluke. PLOS Neglected Tropical Diseases 11(12), e0006109. [CrossRef] [PubMed] [Google Scholar]
- Anders S, Huber W. 2010. Differential expression analysis for sequence count data. Genome Biology, 11, R106. [CrossRef] [PubMed] [Google Scholar]
- Anders S, Pyl PT, Huber W. 2014. HTSeq – a Python framework to work with high-throughput sequencing data. Bioinformatics, 31(2), 166–169. [Google Scholar]
- Boyle JP, Wu X-J, Shoemaker CB, Yoshino TP. 2003. Using RNA interference to manipulate endogenous gene expression in Schistosoma mansoni sporocysts. Molecular and Biochemical Parasitology, 128(2), 205–215. [CrossRef] [PubMed] [Google Scholar]
- Cai P, Piao X, Hao L, Liu S, Hou N, Wang H, Chen Q. 2013. A deep analysis of the small non-coding RNA population in Schistosoma japonicum eggs. PLoS ONE,8(5), e64003. [CrossRef] [PubMed] [Google Scholar]
- Dalzell JJ, Warnock ND, McVeigh P, Marks NJ, Mousley A, Atkinson L, Maule AG. 2012. Considering RNAi experimental design in parasitic helminths. Parasitology, 139(5), 589–604. [CrossRef] [PubMed] [Google Scholar]
- Feng X, Guang S. 2013. Small RNAs, RNAi and the inheritance of gene silencing in Caenorhabditis elegans. Journal of Genetics and Genomics, 40(4), 153–160. [CrossRef] [Google Scholar]
- Gava SG, Tavares NC, Salim ACdM, Araújo FMGd, Oliveira G, Mourão MM. 2017. Schistosoma mansoni: Off-target analyses using nonspecific double-stranded RNAs as control for RNAi experiments in schistosomula. Experimental Parasitology, 177, 98–103. [CrossRef] [PubMed] [Google Scholar]
- Gutbrod MJ, Martienssen RA. 2020. Conserved chromosomal functions of RNA interference. Nature Reviews Genetics, 21(5), 311–331. [CrossRef] [PubMed] [Google Scholar]
- Hu W, Yan Q, Shen D-K, Liu F, Zhu Z-D, Song H-D, Xu X-R, Wang Z-J, Rong Y-P, Zeng L-C, Wu J, Zhang X, Wang J-J, Xu X-N, Wang S-Y, Fu G, Zhang X-L, Wang Z-Q, Brindley PJ, McManus DP, Xue C-L, Feng Z, Chen Z, Han Z-G. 2003. Evolutionary and biomedical implications of a Schistosoma japonicum complementary DNA resource. Nature Genetics, 35(2), 139–147. [CrossRef] [PubMed] [Google Scholar]
- Hu Y, Wang X, Wei Y, Liu H, Zhang J, Shen Y, Cao J. 2020. Functional inhibition of natural killer cells in a BALB/c mouse model of liver fibrosis induced by Schistosoma japonicum infection. Frontiers in Cellular and Infection Microbiology, 10, 598987. [CrossRef] [PubMed] [Google Scholar]
- Jackson AL, Bartz SR, Schelter J, Kobayashi SV, Burchard J, Mao M, Li B, Cavet G, Linsley PS. 2003. Expression profiling reveals off-target gene regulation by RNAi. Nature Biotechnology, 21(6), 635–637. [CrossRef] [PubMed] [Google Scholar]
- Li J, Xiang M, Zhang R, Xu B, Hu W. 2018. RNA interference in vivo in Schistosoma japonicum: Establishing and optimization of RNAi mediated suppression of gene expression by long dsRNA in the intra-mammalian life stages of worms. Biochemical and Biophysical Research Communications, 503(2), 1004–1010. [CrossRef] [PubMed] [Google Scholar]
- Luo F, Yang W, Yin M, Mo X, Pang Y, Sun C, Zhu B, Zhang W, Yi C, Li Z, Wang J, Xu B, Feng Z, Huang Y, Lu Y, Hu W. 2022. A chromosome-level genome of the human blood fluke Schistosoma japonicum identifies the genomic basis of host-switching. Cell Reports, 39(1), 110638. [CrossRef] [PubMed] [Google Scholar]
- Moescheid MF, Puckelwaldt O, Beutler M, Haeberlein S, Grevelding CG. 2023. Defining an optimal control for RNAi experiments with adult Schistosoma mansoni. Scientific Reports, 13(1), 9766. [CrossRef] [PubMed] [Google Scholar]
- Neumeier J, Meister G. (2021). siRNA Specificity: RNAi mechanisms and strategies to reduce off-target effects. Frontiers in Plant Science, 11, 526455. [CrossRef] [PubMed] [Google Scholar]
- Skelly PJ, Da’dara A, Harn DA. 2003. Suppression of cathepsin B expression in Schistosoma mansoni by RNA interference. International Journal for Parasitology, 33(4), 363–369. [CrossRef] [PubMed] [Google Scholar]
- Svoboda P. 2007. Off-targeting and other non-specific effects of RNAi experiments in mammalian cells. Current Opinion in Molecular Therapeutics, 9(3), 248–257. [PubMed] [Google Scholar]
- Ullu E, Tschudi C, Chakraborty T. 2004. RNA interference in protozoan parasites. Cellular Microbiology, 6(6), 509–519. [CrossRef] [PubMed] [Google Scholar]
- Wang J, Yu Y, Shen H, Qing T, Zheng Y, Li Q, Mo X, Wang S, Li N, Chai R, Xu B, Liu M, Brindley PJ, McManus DP, Feng Z, Shi L, Hu W. 2017. Dynamic transcriptomes identify biogenic amines and insect-like hormonal regulation for mediating reproduction in Schistosoma japonicum. Nature Communications, 8(1), 14693. [CrossRef] [PubMed] [Google Scholar]
- Yang Y, Jin Y, Liu P, Shi Y, Cao Y, Liu J, Shi Y, Li H, Lin J. 2012. RNAi silencing of type V collagen in Schistosoma japonicum affects parasite morphology, spawning, and hatching. Parasitology Research, 111(3), 1251–1257. [CrossRef] [PubMed] [Google Scholar]
- Yu G, Wang L-G, Han Y, He Q-Y. 2012. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics,16(5), 284–287. [CrossRef] [PubMed] [Google Scholar]
- Zhou X, Xu F, Mao H, Ji J, Yin M, Feng X, Guang S. 2014. Nuclear RNAi contributes to the silencing of off-target genes and repetitive sequences in Caenorhabditis elegans. Genetics, 197(1), 121–132. [CrossRef] [PubMed] [Google Scholar]
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