Introduction to bioimaging-based spatial multi-omic novel methods

Yan Yan, Ministry of Education Key Laboratory for Bioinformatics
Liheng Yang, Pepperdine University
Leyuan Meng, Jilin University
Haochen Su, Sidney Sussex College
Cheng Zhou, Southern Medical University
Le Yu, Foshan Protogene Tech. Co. Ltd
Zhengtu Li, Guangzhou Medical University
Xu Zhang, Beijing Institute of Collaborative Innovation
Huihua Cai, Guangdong Provincial People’s Hospital of Southern Medical University
Juntao Gao, Ministry of Education Key Laboratory for Bioinformatics

Abstract

Background: Spatial multi-omics are demonstrated to be a powerful method to assist researchers on genetic studies. In this review, bioimaging-based spatial multi-omics techniques such as seqFISH+, merFISH, integrated DNA seqFISH+, DNA merFISH, and MINA are introduced along with each technique’s probe design, development, and imaging processes. Results: seqFISH employed 4–5 fluorophores to barcode and conducted multiple rounds of hybridization, in order that mRNA can be identified through color-coding. seqFISH+ added 60 pseudo-color and distributed them equally into three channels to enhance imaging power, in order that i.e., 24,000 genes can be imaged in total. merFISH utilized 4 out 16 Hamming distance to innovatively provide a robust error-detecting method. MINA, a methodology combining merFISH (multiplexed error-robust fluorescence in situ hybridization) and chromosomal tracing, enabled multiplexed genomic architecture imaged in mammalian single cells. Optical reconstruction of chromatin architecture (ORCA) a method that could conduct DNA path tracing in nanoscale manner with kilobase resolution, an FISH variation that improved genetic resolution, enable high-precision fiducial registration and sequential imaging, and utilized Oligopaint probe to hybridize the short genomic region ranging from 2 to 10 kilobase. ORCA then prescribes these short section primary probes with individual barcodes to attach fluorophore and to be imaged. Conclusion: This review concentrated on providing a comprehensive overview for these spatial-multi-omics techniques with the intention on helping researchers on selecting appropriate technique for their research.