| Title: |
paraCell: a novel software tool for the interactive analysis and visualization of standard and dual host-parasite single cell RNA-Seq data |
| Authors: |
Agboraw, Edward; Haese-Hill, William; Hentzschel, Franziska; Briggs, Emma; Aghabi, Dana; Heawood, Anna; Harding, Clare R.; Shiels, Brian; Crouch, Kathryn; Somma, Dommenico; Otto, Thomas |
| Publisher Information: |
Oxford University Press |
| Publication Year: |
2025 |
| Collection: |
University of Glasgow: Enlighten - Publications |
| Description: |
Advances in sequencing technology have led to a dramatic increase in the number of single-cell transcriptomic datasets. In the field of parasitology, these datasets typically describe the gene expression patterns of a given parasite species at the single-cell level under experimental conditions, in specific hosts or tissues, or at different life cycle stages. However, while this wealth of available data represents a significant resource, analysing these datasets often requires expert computational skills, preventing a considerable proportion of the parasitology community from meaningfully integrating existing single-cell data into their work. Here, we present paraCell, a novel software tool that allows the user to visualize and analyse pre-loaded single-cell data without requiring any programming ability. The source code is free to allow remote installation. On our web server, we demonstrated how to visualize and re-analyse published Plasmodium and Trypanosoma datasets. We have also generated Toxoplasma–mouse and Theileria–cow scRNA-seq datasets to highlight the functionality of paraCell for pathogen–host interaction. The analysis of the data highlights the impact of the host interferon-γ response and gene expression profiles associated with disease susceptibility by these intracellular parasites, respectively. |
| Document Type: |
article in journal/newspaper |
| File Description: |
text |
| Language: |
English |
| Relation: |
https://eprints.gla.ac.uk/348762/1/348762.pdf; Agboraw, E. et al. (2025) paraCell: a novel software tool for the interactive analysis and visualization of standard and dual host-parasite single cell RNA-Seq data. Nucleic Acids Research , 53(4), gkaf091. (doi:10.1093/nar/gkaf091 ) (PMID:39988320) |
| DOI: |
10.1093/nar/gkaf091 |
| Availability: |
https://eprints.gla.ac.uk/348762/; https://eprints.gla.ac.uk/348762/1/348762.pdf; https://doi.org/10.1093/nar/gkaf091 |
| Rights: |
cc_by_4 |
| Accession Number: |
edsbas.C487B774 |
| Database: |
BASE |