Prof. Yong Hou

Issuing time:2021-09-19 16:38

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Name:

Hou Yong

Title:

Doctor

Affiliation:

BGI-Shenzhen

Email:

houyong@mgi-tech.com

100-word   biography:

Dr. Yong Hou was trained as PhD in bioinformatics in   Copenhagen University, and now works as President of BGI Group Europe and   Africa. He is also an adjunct Research Scientist in The University of the   Chinese Academy of Science.

  With a strong   background of next generation sequencing and data analysis and   interpretation, especially on single cell analysis and cancer research, he   published more than 50 peer reviewed scientific papers on journals including Cell,   Nature, Nature Biotechnology, Nature Communications and   listed as the co-inventor of more than 30 of patents in genomics area. He has   granted more than 20 million RMB from national or local funding agencies to   investigate the clinical application of next generation sequencing on cancer   diagnosis. He is invited as guest editor for Journal of Clinical and   Translational Medicine on Clinical Bioinformatics Session, and reviewer   of Scientific Reports, BMC Bioinformatics and Cell Biology   and Toxicology.

Title:

Large field of view-spatially   resolved transcriptomics at nanoscale resolution

Abstract:

High-throughput profiling of in situ gene expression   represents a major advance towards the systematic understanding of tissue   complexity. Applied with enough capture area and high sample throughput it   will help to define the spatio-temporal dynamics of gene expression in   tissues and organisms. Yet, current technologies have considerable   bottlenecks that limit widespread application. Here, we have combined DNA   nanoball (DNB) patterned array chips and in situ RNA capture to develop   Stereo-seq (Spatio-Temporal Enhanced REsolution Omics-sequencing). This   approach allows high sample throughput transcriptomic profiling of   histological sections at unprecedented (nanoscale) resolution with areas   expandable to centimeter scale, high sensitivity and homogenous capture rate.   As proof of principle, we applied Stereo-seq to the adult mouse brain and   sagittal sections of E11.5 and E16.5 mouse embryos. Thanks to its unique   features and amenability to additional modifications, Stereo-seq can pave the   way for the systematic spatially resolved-omics characterization of tissues   and organisms.

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