Drosophila Spatial Transcriptomics Services

Spatial transcriptomics refers to the study of gene expression while preserving the original spatial information of biological samples. Unlike bulk RNA sequencing or dissociated single-cell RNA sequencing, spatial transcriptomics maps transcriptomic signals back to their tissue locations, allowing researchers to understand how genes, cells, and anatomical regions are organized within intact tissues. In Drosophila melanogaster, this technology provides a powerful approach for investigating embryonic development, larval tissue organization, adult brain architecture, whole-body gene expression patterns, tumor response, immune signaling, aging, and functional genomics.

At CD BioSciences, we specialize in providing comprehensive research solutions in the field of Drosophila studies. With our expertise in spatial transcriptomics workflows, tissue mapping, and bioinformatics analysis, we offer tailored services designed to help researchers explore spatially resolved gene expression patterns in Drosophila embryos, larvae, adult brains, and whole-body tissue sections.

Introduction into Drosophila Spatial Transcriptomics

Spatial transcriptomics has become an important tool for linking gene expression information with tissue morphology and anatomical organization. In Drosophila research, it is especially useful for studying embryonic patterning, developmental trajectories, neural organization, muscle structure, tissue differentiation, and gene function in native spatial context.

Representative studies have shown the broad value of spatial transcriptomics in Drosophila. High-resolution Stereo-seq data have been used to construct 3D spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae, supporting spatial reconstruction of gene expression across developmental stages. In adult flies, spatial transcriptomics has been used to map gene expression patterns across brain and body sections, helping researchers connect single-cell datasets, anatomical structures, and newly discovered gene expression signatures. Public resources such as STOmicsDB further provide spatial transcriptomics data sharing, visualization, and analysis support for downstream research.

Fig. 1 Clustering and annotation of Stereo-seq generated 2D spatial transcriptomes of Drosophila late-stage embryos and larvae.

By combining spatial gene expression profiling with tissue-domain annotation, public reference datasets, and 2D or 3D visualization, researchers can obtain a more complete understanding of how gene programs are organized across Drosophila tissues and developmental stages.

Our Services

During spatial transcriptomics analysis, Drosophila tissues can be examined to reveal spatial gene expression patterns, anatomical organization, and region-specific molecular features. CD BioSciences offers a range of services tailored to meet your specific research needs. Our Drosophila spatial transcriptomics service includes but is not limited to:

Features of Our Services

• Expertise: Our team has extensive experience in Drosophila research, spatial transcriptomics workflows, tissue mapping, developmental biology, and bioinformatics analysis.
• Accurate Data: We emphasize careful sample handling, spatial data quality control, and rigorous analysis to support reliable spatial gene expression results and reproducible interpretation.
• Comprehensive Insights: By combining spatial profiling, marker analysis, tissue annotation, 3D reconstruction, and database-guided comparison, we provide a holistic understanding of spatially organized molecular events in Drosophila.

Want to Learn More?

At CD BioSciences, we are committed to delivering exceptional service quality and scientific excellence in Drosophila spatial transcriptomics analysis. With our expertise in spatial transcriptomics, bioinformatics, and Drosophila research, we are confident in our ability to support your research endeavors and contribute to the advancement of knowledge in this field. Contact us to learn more about our service and discuss how we can assist you in your Drosophila spatial transcriptomics research.

References

• Wang M, Hu Q, Lv T, Wang Y, Lan Q, Xiang R, et al. High-resolution 3D spatiotemporal transcriptomic maps of developing Drosophila embryos and larvae. Developmental Cell, 2022, 57(10): 1271-1283.e4. DOI: 10.1016/j.devcel.2022.04.006.
• Janssens J, Mangeol P, Hecker N, Partel G, Spanier K, Ismail J, Hulselmans G, Aerts S, Schnorrer F. Spatial transcriptomics in the adult Drosophila brain and body. eLife, 2025, 13: RP92618. DOI: 10.7554/eLife.92618.
• Xu Z, Wang W, Yang T, et al. STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization. Nucleic Acids Research, 2024, 52(D1): D1053-D1061. DOI: 10.1093/nar/gkad933.
• 10x Genomics. Visium HD Spatial Gene Expression Assay, 2024.
• Vizgen. Spatial transcriptomics products and services based on MERFISH technology.