Single-Cell and Spatial Omics: Methods and Applications



December 5th-6th, 2024

Rm 2502 (lift 25/26),HKUST, Hong Kong



Overview

This symposium aims to bring together leading scientists in the fields of single-cell and spatial omics, covering technology development, computational methods, and biomedical applications. Experts will share their latest technological breakthroughs and research findings in single-cell sequencing, spatial transcriptomics, multi-omics integration, and their innovative applications in developmental biology, tumor heterogeneity, and immunology. The event will provide ample opportunities for interdisciplinary discussions, fostering both technological innovations and translational applications in single-cell and spatial omics research.

Participants

All are welcome. Walk-ins are also acceptable on the day. Register closed.

Any personal data you provide will be processed in accordance with HKUST privacy policy.

Invited Speakers and Session Chairs

Department of Mathematics, The Hong Kong University of Science and Technology

Division of Life Science, Department of Chemical and Biological Engineering, The Hong Kong University of Science and Technology

School of Biomedical Sciences, The University of Hong Kong

School of Biomedical Sciences, Department of Statistics and Actuarial Science, The University of Hong Kong

Beijing Neurosurgical Institute, Beijing Tiantan Hospital

Department of Statistics, The Chinese University of Hong Kong

Programme

Dec. 5th Venue: Rm 2502 (lift 25/26), Academic Building, HKUST, Campus Map, suggested to bring laptop

Time Schedule
14:00 -- 15:30 Tutorial on Spatial Transcriptomics
Jean Yang's team
15:30 -- 16:00 Discussion & Tea Break
16:00 -- 17:30 Tutorial on Spatial Transcriptomics
Jean Yang's team
18:00 G/F dinner Wang Lab, Yang Lab and guest speakers

Dec. 6th Venue: Rm 2502 (lift 25/26), Academic Building, HKUST, Campus Map

Time Schedule
09:00 -- 09:25 Leveraging Spatial Transcriptomics Data for Translation
Jean Yang, University of Sydney
09:30 -- 09:55 Integrative Analysis and Regulatory Inference in Spatial Multi-Omics Data via Graph Representation Learning
Zhixiang Lin, The Chinese University of Hong Kong
10:00 -- 10:25 Analysis of Transcript Variants from Single-cell and Spatial RNA-seq data
Yuanhua Huang, The University of Hong Kong
10:30 -- 11:00 Discussion & Tea Break
11:00 -- 11:25 Positive Selection in Normal and Precancerous Tissues
Gladys Yeuk Pin Poon, The University of Hong Kong
11:30 -- 11:55 Single-cell Analyses Reveal the PVR/TIGIT Axis-mediated Immune Evasion in IDH-wildtype Glioblastoma
Zheng Zhao, Beijing Neurosurgical Institute, Beijing Tiantan Hospital
12:00 -- 13:30 Lunch (By Invitation Only)

Organizers

HKUST SCSOMA organizing committee:

Jiguang Wang

Can Yang

Bioinformatics Society of Hong Kong Special Administrative Region (In preparation)