Data: Sm miracidium and sporocyst scRNA-seq
Single-cell datasets for S. mansoni miracidia (20K cells) and D5 sporocysts (601 cells) are available now!
Read morepublic and re-analyzed; multi-species; at the levels of bulk, single-cell, and spatial atlases!
Explore Schisto.xyz V2(Multiple) Gene queries, flexible embeddings and metadata.
Share the current visualization state easily in a URL.
Fast expression exploration in multiple datasets simultaneously.
Serving schisto researchers since 2018, now offers enhanced datasets, interactive visualisation solutions, and a re-designed powerful search engine.
Bulk RNA-seq for all life stages; integrative re-analysis; single-cell atlases; spatial expression (ITF).
Browser-based interactive visualisation supports multiple queries and embeddings, easy share of states via URLs.
Metadata selection, point colors/sizes, subsetting, distribution and composition plots, all highly customizable.
The search engine has been re-designed to provide an expression overview across multiple datasets, fast and robust.
Fast visualisation of expression in millions of cells / samples, across multiple datasets, at one time.
Explore your favourite geneThe retinoic acid family-like nuclear receptor SmRAR identified by single-cell transcriptomics of ovarian cells controls oocyte differentiation in Schistosoma mansoni
A novel, non-neuronal acetylcholinesterase of schistosome parasites is essential for definitive host infection
Convergent evolution of a genotoxic stress response in a parasite-specific p53 homolog
Rhesus macaques self-curing from a schistosome infection can display complete immunity to challenge
Schistosoma mansoni α-N-acetylgalactosaminidase (SmNAGAL) regulates coordinated parasite movement and egg production
Programmed genome editing of the omega-1 ribonuclease of the blood fluke, Schistosoma mansoni
Single-cell datasets for S. mansoni miracidia (20K cells) and D5 sporocysts (601 cells) are available now!
Read moreS. japonicum bulk RNA-seq covering larval stages from Cheng et al 2022. Data was mapped to the HuSjv3 genome and TPM was used for normalization.
Read moreRaw sequencing data from Wang et al 2017 were downloaded and re-mapped to HuSjV2 genome. Normalised expression based on library-size and gene length were calculated using edgeR.
Read moreFeel free to drop me a message via social media / email / contact form. If you find the resource useful, please cite (for now)
SchistoXYZ, as a valuable resource for the research community, has contributed to more than 30 published studies. Here are a few selections