Spatial transcriptomic imaging of an intact organism using volumetric DNA microscopy DOI Creative Commons
Nianchao Qian, Joshua A. Weinstein

Nature Biotechnology, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Lymphatic, nervous and tumor tissues exhibit complex physiology arising from three-dimensional interactions within genetically unique microenvironments. Here we develop a technology capable of volumetrically imaging transcriptomes, genotypes morphologies in single measurement, without relying on prior knowledge spatial organization or genetic sequences. Our method extends DNA microscopy into three dimensions at scales involving 107 molecules by forming distributed intermolecular network proximal barcodes tagging complementary inside the specimen. After sequencing DNA-encoded network, an image molecular positions is inferred using geodesic spectral embeddings, dimensionality reduction approach that show to be especially suitable for this data-inverse problem. Applying whole-transcriptome volumetric intact zebrafish embryos, demonstrate inference recapitulates morphology known gene expression patterns, capturing extension measurements dimensions, independent templates, opens door detailed joint resolution genomics biological tissues. Volumetric captures information RNA organism.

Язык: Английский

Spatial transcriptomic imaging of an intact organism using volumetric DNA microscopy DOI Creative Commons
Nianchao Qian, Joshua A. Weinstein

Nature Biotechnology, Год журнала: 2025, Номер unknown

Опубликована: Март 27, 2025

Lymphatic, nervous and tumor tissues exhibit complex physiology arising from three-dimensional interactions within genetically unique microenvironments. Here we develop a technology capable of volumetrically imaging transcriptomes, genotypes morphologies in single measurement, without relying on prior knowledge spatial organization or genetic sequences. Our method extends DNA microscopy into three dimensions at scales involving 107 molecules by forming distributed intermolecular network proximal barcodes tagging complementary inside the specimen. After sequencing DNA-encoded network, an image molecular positions is inferred using geodesic spectral embeddings, dimensionality reduction approach that show to be especially suitable for this data-inverse problem. Applying whole-transcriptome volumetric intact zebrafish embryos, demonstrate inference recapitulates morphology known gene expression patterns, capturing extension measurements dimensions, independent templates, opens door detailed joint resolution genomics biological tissues. Volumetric captures information RNA organism.

Язык: Английский

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