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PlantNetX: A web-based transcriptomic resource integrating bulk and single-cell RNA-seq for plant functional genomics.

Nasir, M. A.; Nawaz, S.; Faik, A.

2026-08-05 bioinformatics
10.64898/2026.07.30.741827 bioRxiv
Show abstract

Bulk RNA sequencing and single-cell RNA sequencing provide complementary information on tissue and cell-type-specific gene expression. Bulk RNA sequencing enables the construction of gene association networks that identify co-expressed genes involved in shared pathways, whereas single-cell RNA sequencing maps their expression to cell types. However, most platforms provide access to either bulk RNA sequencing or single-cell RNA sequencing analysis, making it difficult to connect tissue-level co-expression with cell-type-specific expression. PlantNetX was developed as a web-based platform that integrates both data types. Although PlantNetX currently focuses on rice (Oryza sativa) and includes 70 quality-controlled RNA sequencing datasets comprising 1,198 sequencing libraries, together with nine single-cell RNA sequencing datasets containing more than 580,000 cells, including recently released datasets not consistently represented in existing platforms, it was designed to incorporate additional plant species, datasets, and analytical tools. PlantNetX provides Mutual Rank-based co-expression analysis, global and tissue-specific gene association networks, interactive visualization, and cell-type-specific expression summaries. The platform was validated with published examples of plant cell-wall biosynthesis and root-hair growth and retrieved gene association and expression patterns. Under standardized testing conditions, PlantNetX had a shorter mean response time than the other databases assessed. PlantNetX will support research in plant cell-wall biosynthesis, pathway discovery, functional genomics, and crop improvement. HighlightsPlantNetX integrates gene co-expression networks with cell-type expression, enabling fast identification and biological interpretation of candidate genes across tissues and individual cells. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=120 SRC="FIGDIR/small/741827v1_ufig1.gif" ALT="Figure 1"> View larger version (60K): org.highwire.dtl.DTLVardef@1207e06org.highwire.dtl.DTLVardef@31c3acorg.highwire.dtl.DTLVardef@12560b0org.highwire.dtl.DTLVardef@eeee7c_HPS_FORMAT_FIGEXP M_FIG C_FIG

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