Hybridization-based spatial transcriptomics technologies have advanced our ability to map cellular and subcellular organization in complex tissues. However, existing methods remain constrained in gene coverage, multimodal compatibility, and scalability. Here, we present MERFISH+, an enhanced version of Multiplexed Error-Robust Fluorescence in Situ Hybridization (MERFISH), which integrates chemical probe anchoring in protective hydrogels with high-throughput microfluidics and microscopy. This optimized design supports robust and repeated hybridization cycles across an entire centimeter-scale tissue sample. MERFISH+ allowed to simultaneously quantify over 1,800 genes and resolve the 3D organization of chromatin loci and their associated epigenomic marks in developing human hearts. Using a generative integration framework for spatial multimodal data (Spateo-VI), we harmonized these MERFISH+ transcriptomic and chromatin data to reconstruct a 3D spatially-resolved multi-omic atlas of the developing human heart at subcellular resolution capturing 3.1 million cells across 34 distinct populations. This 3D atlas provides a holistic view of an entire organ enabling the characterization of 3D cellular neighborhoods and transcriptional gradients of substructures such as the descending arteries. Thus, MERFISH+ offers a robust, large-format platform for spatial multi-omics that enables high resolution mapping of gene expression at subcellular resolution and the characterization of cellular organization within 3D organs.
MERFISH+, a large-scale, multi-omics spatial technology resolves the molecular holograms of the 3D human developing heart.
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作者:Kern Colin, Zhang Qingquan, Lu Yifan, Eschbach Jacqueline, Zeng Zehua, Farah Elie N, Tai Chu-Yi, Yang Kaifu, Jenie Ignatius, Yao Fenyong, Zhao Zoey, Ma Qixuan, Padilla Carlos Garcia, Monell Alexander, Moghadami Siavash, Zhu Fugui, Li Bin, Hou Angie, Tucker Grant, Ellison David, Chi Neil C, Qiu Xiaojie, Zhu Quan, Bintu Bogdan
| 期刊: | bioRxiv | 影响因子: | 0.000 |
| 时间: | 2025 | 起止号: | 2025 Nov 4 |
| doi: | 10.1101/2025.11.02.686137 | ||
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