Transcriptome-wide spatial RNA profiling maps the cellular architecture of the developing human neocortex
Roberts, K.; Aivazidis, A.; Kleshchevnikov, V.; Li, T.; Fropf, R.; Rhodes, M.; Beechem, J. M.; Hemberg, M.; Bayraktar, O.
Show abstract
Spatial genomic technologies can map gene expression in tissues, but provide limited potential for transcriptome-wide discovery approaches and application to fixed tissue samples. Here, we introduce the GeoMX Whole Transcriptome Atlas (WTA), a new technology for transcriptome-wide spatial profiling of tissues with cellular resolution. WTA significantly expands the Digital Spatial Profiling approach to enable in situ hybridisation against 18,190 genes at high-throughput using a sequencing readout. We applied WTA to generate the first spatial transcriptomic map of the fetal human neocortex, validating transcriptome-wide spatial profiling on formalin-fixed tissue material and demonstrating the spatial enrichment of autism gene expression in deep cortical layers. To demonstrate the value of WTA for cell atlasing, we integrated single-cell RNA-sequencing (scRNA-seq) and WTA data to spatially map dozens of neural cell types and showed that WTA can be used to directly measure cell type specific transcriptomes in situ. Moreover, we developed computational tools for background correction of WTA data and accurate integration with scRNA-seq. Our results present WTA as a versatile transcriptome-wide discovery tool for cell atlasing and fixed tissue spatial transcriptomics.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Retinal input influences pace of neurogenesis but not cell-type configuration of the visual forebrain 97%
- A single-cell atlas of pig gastrulation as a resource for comparative embryology 97%
- Cell-type, single-cell, and spatial signatures of brain-region specific splicing in postnatal development 97%
Similar papers in this journal
Similar papers in this journal
- Deep learning and alignment of spatially-resolved whole transcriptomes of single cells in the mouse brain with Tangram 97%
- Photoselective sequencing: microscopically-guided genomic measurements with subcellular resolution 97%
- FISHnet: Detecting chromatin domains in single-cell sequential Oligopaints imaging data 96%
Similar papers in this journal
- Dense Functional and Molecular Readout of a Circuit Hub in Sensory Cortex 96%
- Integrated single cell and unsupervised spatial transcriptomic analysis defines molecular anatomy of the human dorsolateral prefrontal cortex 96%
- High-resolution spatial mapping of cell state and lineage dynamics in vivo with PEtracer 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.