Spot-based spatial transcriptomics represents a revolutionary leap forward in molecular biology, enabling researchers to map gene expression profiles directly onto histopathology slices. By using arrays of spatially barcoded primers printed on solid surfaces, this approach preserves the physical coordinates of mRNA molecules before they are processed for sequencing. This bridges the gap between traditional histology and high-throughput sequencing, allowing researchers to explore cellular heterogeneity within the structural context of tissues.
While whole-transcriptome spatial profiling offers a broad view of cellular gene expression, it often lacks the sequencing depth required to detect low-abundance transcripts, specific splice isoforms, or targeted mutations. Integrating targeted amplicon sequencing into spot-based spatial transcriptomics workflows addresses this challenge. By selectively amplifying specific transcripts of interest—such as tumor-associated genes, immune receptor sequences, or viral transcripts—researchers can achieve high sequencing depth and sensitivity at a fraction of the cost.
The workflow begins with the placement of a cryopreserved or formalin-fixed paraffin-embedded (FFPE) tissue section onto a spatially barcoded slide. Each spot on the slide contains millions of capture probes, each sharing a unique spatial barcode. Following tissue permeabilization, target mRNAs diffuse and hybridize to these capture probes.
Instead of executing a universal reverse transcription and cDNA library preparation for the entire transcriptome, target-specific primers are introduced. These primers selectively target molecular amplicons of interest, such as:
Once reverse transcription is complete, the spatially barcoded cDNA molecules are pooled, PCR-amplified, and sequenced. Bioinformatics pipelines then map the sequenced amplicons back to their exact coordinate spots on the tissue slide, reconstructing a high-resolution, target-specific map of expression patterns.
The global market for spatial biology is expanding rapidly, driven by the clinical demand for personalized medicine and targeted therapies. Pharmaceutical companies and academic laboratories are increasingly adopting spatial transcriptomics to identify biomarkers, understand drug resistance mechanisms, and map cellular microenvironments. However, the high cost of whole-transcriptome sequencing has historically limited its application in large-scale clinical trials and routine diagnostics.
Spot-based spatial amplicon sequencing addresses this limitation by offering a cost-effective, high-throughput alternative. By focusing sequencing power on targeted gene panels, clinical researchers can process hundreds of samples within a reasonable budget, accelerating the translation of spatial biology findings from the lab to the clinic.
Several major trends are shaping the future of spatial amplicon sequencing:
Get in touch with our spatial biology experts to design a targeted amplicon sequencing project tailored to your research goals.
Consult an Expert NowIn oncology, understanding the spatial organization of the tumor microenvironment (TME) is critical. Spot-based spatial amplicon sequencing allows researchers to map somatic mutations, gene fusions, and immune checkpoint expression (e.g., PD-1, PD-L1) across different regions of a tumor. This helps identify how tumor cells interact with infiltrating immune cells and why certain regions develop resistance to immunotherapies.
The mammalian brain is highly structured, and its function relies on the precise spatial arrangement of diverse neuronal subtypes. By targeting specific neurotransmitter receptors and cell-type markers, spatial amplicon sequencing helps map cellular distributions in neurodegenerative diseases like Alzheimer's and Parkinson's, revealing localized pathological changes.
Plant tissues present unique challenges due to cell walls and complex structures. Applying spatial amplicon sequencing allows researchers to study localized host-pathogen interactions, investigate developmental pathways in meristems, and analyze environmental stress responses at specific tissue layers without tissue dissociation.
Biomarker Technologies (BMKGene), founded in 2009, is a leading genomics service provider with over 16 years of continuous innovation in high-throughput sequencing and bioinformatics. Backed by more than 60 national invention patents and 200+ software copyrights, we deliver comprehensive multi-omics solutions—spanning genomics, metagenomics, epigenetics, single-cell omics, transcriptomics, and our proprietary BMKMANU S3000 spatial transcriptome technology—supported by our advanced BMKCloud bioinformatics platform. We have established long-term collaborations with organizations across 84 regions worldwide, providing reliable genomic solutions on a global scale.
PacBio platforms: Sequel II, Sequel, RSII
Nanopore platforms: PromethION P48, GridION X5, MinION
10X Genomics: 10X ChromiumX, 10X Chromium Controller
Illumina platforms: NovaSeq
BGI-sequencing platforms: DNBSEQ-G400, DNBSEQ-T7
Additional Systems: Bionano Irys system, Waters XEVO G2-XS QTOF, QTRAP 6500+
Spanning over 20,000 square feet, our facility houses state-of-the-art biomolecular laboratory instruments. We operate standardized laboratories for sample extraction, library construction, clean rooms, and sequencing labs. Every step, from sample extraction to sequencing, is performed under strict SOPs to ensure the highest data quality.
Powered by our self-developed BMKCloud platform, we offer flexible bioinformatics workflows. Our computing cluster features 4,260 computing cores with peak computing power over 121,708.8 Gflop per second, backed by CPUs with 41,104 memory and 3 PB total storage, ensuring rapid data turnaround.
Biomarker Technologies (BMKGENE) and PerkinElmer have jointly built a fully automated experimental production line, called Brilliant Lab 1000 (BL1000), which is applied to the high-throughput NGS library construction service.
BMKGENE strives to greatly improve the entire line of sequencing products in terms of product types, production line throughput, delivery quality, and cycle time, to provide customers with better sequencing services.









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