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Omics · study · 2026

A long-read-compatible spatial barcoding system: enables isoform-resolved spatial heterogeneity at near-single-cell scale.

Listed in NCBI GEO

Short-read spatial transcriptomics depicts gene expression in situ but often struggles to resolve alternative splicing and transcript isoforms.

Description

We developed a spatial barcoding system compatible with long-read sequencing, combining high-density capture arrays with a three-segment combinatorial barcoding strategy. This framework enables large-scale spatial sampling while maintaining low barcode collision.

In the in situ cDNA synthesis stage, spatial coordinates are assigned, allowing the same library to be used for robust Illumina quantification and full-length Nanopore sequencing. We generated near-single-cell resolution spatial maps in tomato-pepper grafts and mouse embryos, demonstrating high consistency between NGS and TGS data. This platform extends spatial transcriptomics from gene-level expression to isoform-resolved in situ biology.

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From keywords
Life Sciences
Inferred from text
Sequencing 75%
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
NCBI GEOGSE31678912 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[field].local:field:life-sciencesmapping · NCBI GEOconnector:ncbi_geo@1.0.0
concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencingsource · NCBI GEOconnector:ncbi_geo@1.0.0/gdstype
concepts[modality].local:modality:sequencingenrichment · NCBI GEOkeyword-concept-rules@1.0.0title+description (75%)
concepts[organism].NCBITaxon:10090source · NCBI GEOconnector:ncbi_geo@1.0.0/taxon
descriptionsource · NCBI GEOconnector:ncbi_geo@1.0.0/summary
publication_datesource · NCBI GEOconnector:ncbi_geo@1.0.0
titlesource · NCBI GEOconnector:ncbi_geo@1.0.0/title