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57 results for “Schistosoma japonicum”

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geo24/100

Comparative analysis of microRNA expression profiles of adult Schistosoma japonicum isolated from water buffalo and yellow cattle

GEO Series GSE124351. Schistosoma japonicum. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenMay 2019View details →
geo24/100

Differential Expression of Chemokine and Matrix Re-Modelling Genes Explains Contrasting Schistosoma japonicum-induced Hepatopathology in Murine Models

GEO Series GSE25713. Mus musculus. 24 samples. Type: Expression profiling by array.

openGEO-OpenNov 2010View details →
geo24/100

Analysis of gene expression among schistosoma japonicum from different hosts

GEO Series GSE24615. Schistosoma japonicum. 9 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2017View details →
geo24/100

MicroRNAs are involved in the regulation of ovary development in the pathogenic blood fluke Schistosoma japonicum

GEO Series GSE74654. Schistosoma japonicum. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJan 2016View details →
geo24/100

Developmental gene expression profiles of the human pathogen Schistosoma japonicum

GEO Series GSE12704. Schistosoma mansoni; Schistosoma japonicum. 45 samples. Type: Expression profiling by array.

openGEO-OpenSep 2008View details →
geo24/100

HITS–CLIP reveals Argonaute 1-associated MicroRNAs and Target Sites in Schistosoma japonicum

GEO Series GSE63145. Schistosoma japonicum. 1 samples. Type: Other.

openGEO-OpenNov 2014View details →
geo24/100

Transcriptome bioinformatical analysis of vertebrate stages of Schistosoma japonicum reveals alternative splicing events

GEO Series GSE71722. Schistosoma japonicum. 1 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2015View details →
geo24/100

Towards an understanding of the mechanism of hypoevolution of Schistosoma japonicum schistosomula from Microtus fortis

GEO Series GSE25728. Schistosoma japonicum. 4 samples. Type: Expression profiling by array.

openGEO-OpenDec 2010View details →
geo24/100

Gene expression in the Schistosoma japonicum infected spleen

GEO Series GSE19525. Mus musculus. 8 samples. Type: Expression profiling by array.

openGEO-OpenDec 2009View details →
geo24/100

Comparative analysis of transcriptional profiles of Schistosoma japonicum from SCID mouse and BALB/c mouse

GEO Series GSE122317. Schistosoma japonicum. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2020View details →
geo24/100

Transcriptional Responses of Schistosoma japonicum Exposed in vivo to Sub-Lethal Dosages of Praziquantel

GEO Series GSE41149. Schistosoma japonicum. 20 samples. Type: Expression profiling by array.

openGEO-OpenSep 2012View details →
dryad24/100

Data from: Whole genome amplification and reduced-representation genome sequencing of Schistosoma japonicum miracidia

Background: In areas where schistosomiasis control programs have been implemented, morbidity and prevalence have been greatly reduced. However, to sustain these reductions and move towards interruption of transmission, new tools for disease surveillance are needed. Genomic methods have the potential to help trace the sources of new infections, and allow us to monitor drug resistance. Large-scale genotyping efforts for schistosome species have been hindered by cost, limited numbers of established target loci, and the small amount of DNA obtained from miracidia, the life stage most readily acquired from humans. Here, we present a method using next generation sequencing to provide high-resolution genomic data from S. japonicum for population-based studies. Methodology/Principal Findings: We applied whole genome amplification followed by double digest restriction site associated DNA sequencing (ddRADseq) to individual S. japonicum miracidia preserved on Whatman FTA cards. We found that we could effectively and consistently survey hundreds of thousands of variants from 10,000 to 30,000 loci from archived miracidia as old as six years. An analysis of variation from eight miracidia obtained from three hosts in two villages in Sichuan showed clear population structuring by village and host even within this limited sample. Conclusions/Significance: This high-resolution sequencing approach yields three orders of magnitude more information than microsatellite genotyping methods that have been employed over the last decade, creating the potential to answer detailed questions about the sources of human infections and to monitor drug resistance. Costs per sample range from $50-$200, depending on the amount of sequence information desired, and we expect these costs can be reduced further given continued reductions in sequencing costs, improvement of protocols, and parallelization. This approach provides new promise for using modern genome-scale sampling to S. japonicum surveillance, and could be applied to other schistosome species and other parasitic helminthes

opencc-zeroDec 2016View details →
ClinicalTrials.gov24/100

Validation of POC-CCA Rapid Urine Test for Qualitative Detection of Schistosoma Japonicum

ClinicalTrials.gov study NCT03870204. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo24/100

The differential expressed mRNAs in spleen B cells between control(normal),PBS treated or SJMHE1(Schistosoma japonicum-derived peptide) treated OVA-induced allergic rhinitis mice.

GEO Series GSE229347. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2023View details →
geo24/100

Study on differences in the pathology, T cell subsets and gene expression in susceptible and non-susceptible hosts infected with Schistosoma japonicum

GEO Series GSE21703. Rattus norvegicus; Mus musculus; Alexandromys fortis. 6 samples. Type: Expression profiling by array.

openGEO-OpenNov 2010View details →
dryad24/100

Data from: Whole genome amplification and reduced-representation genome sequencing of Schistosoma japonicum miracidia

Open the record for dataset details and reuse information.

publicJan 2018View details →
geo24/100

Comparative genomic hybridization of Schistosoma japonicum Chinese and Philippine isolates

GEO Series GSE39329. Schistosoma japonicum. 8 samples. Type: Genome variation profiling by array.

openGEO-OpenJul 2012View details →
geo20/100

Genome-wide transcriptome analysis revealed extensive alternative RNA splicing in gene expression in the zoonotic parasite Schistosoma japonicum

GEO Series GSE58564. Schistosoma japonicum. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2014View details →
geo20/100

Gene expression profiles of Schistosoma japonicum in four developmental stages

GEO Series GSE57143. Schistosoma japonicum. 23 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2017View details →
geo20/100

MicroRNA-gene expression network in murine liver during Schistosoma japonicum infection

GEO Series GSE45985. Mus musculus. 4 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.

openGEO-OpenJun 2013View details →

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Allen Brain Atlas

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allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
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DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record