Computational analysis of single-cell data and cell-type heterogeneity: the next frontier

Computational analysis of single-cell data and cell-type heterogeneity: 
the next frontier

8-9th June, 2018 Shanghai, China



Program

Each lecture is 25 min presentation plus 5 min Q&A

8th  June, Friday

Morning

Session 1: Single-Cell Biology and Cell-type Heterogeneity
(Chair: Andrew TESCHENDORFF)

9:00-9:10

Opening by Andrew TESCHENDORFF

9:10-9:15

SIAS Introduction

9:15-9:45

Lecture 1

Deciphering the gene regulation network in human early embryos at single-cell & single base resolution
Fuchou TANG (Peking University)

9:45-10:15

Lecture 2

Entropy and the Epigenetic Landscape of Cancer
Andy FEINBERG (Johns Hopkins University, USA)

10:15-10:30

Coffee break

10:30-11.00

Lecture 3

The joint analysis of single cell data on gene expression and chromatin accessibility
Wing H WONG (Stanford University, USA)

11:00-11.30

Lecture 4

Inference of differentiation time for single cell transcriptomes using cell population reference data
Jing Dong Jackie HAN (PICB/SINH, China)

11:30-12:00

Lecture 5

Microfluidics, Single cells, and Sequencing
Yanyi HUANG (Peking University, China).

12.00-12.30

Group Photo

12.30-14.00

Lunch

Afternoon

Session 2: Computational Analysis and Systems Biology
(Chair: Jackie Han)

14:00-14:30

Lecture 6

Decomposing spatially dependent and cell type specific contributions to cellular heterogeneity
Guo-Cheng YUAN (Harvard University, USA)

14:30-15:00

Lecture 7

Benchmarking single-cell trajectory inference methods: towards more accurate and robust tools
Yvan SAEYS (VIB, Gent University, Belgium)

15:00-15:30

Lecture 8

Single-cell data analysis based on single-sample network (SSN)
Luonan CHEN (Shanghai Institute of Biochemistry and Cell Biology, CAS, China)

15:30-15:45

Coffee break

15:45-16:15

Lecture 9

From information flow to decision making: single cell behavior in tissue morphogenesis
Andre LEVCHENKO (Yale University, USA)

16:15-16:45

Lecture 10

Investigating stem-cell differentiation dynamics using single-cell profiling
Patrick STUMPF (University of Southampton, Southampton, UK)

16:45-17:15

Lecture 11

Single-cell entropy to dissect cell-type heterogeneity in cancer
Andrew TESCHENDORFF (PICB, SINH,CAS, China & UCL, UK)

18:00

Symposium Dinner (Invited Only)



9th  June, Saturday

Morning

Session 3: Cell-type Heterogeneity and Precision Medicine
(Chair: Luonan CHEN)

9:00-9:30

Lecture 12

Characteristics of Tumor Infiltrating Lymphocytes Revealed by Single Cell RNA Sequencing
Zemin ZHANG (Peking University)

9:30-10:00

Lecture 13

Lung cancer evolution and immune escape
Nick McGRANAHAN (Francis Crick Institute & UCL, London, UK)

10:00-10:30

Lecture 14

Build Asian Single-cell Immune Map of human gastric cancers in Singapore
Jinmiao CHEN (A*Star SIgN, Singapore)

10:30-10:40

Coffee break

10:40-10:50

BioStar (Sponsor Presentation)

10:50-11:20

Lecture 15

Exploring human brain with single-cell transcriptional and epigenetic measurements
Peter KHARCHENKO (Harvard Medical School, USA)

11:20-11:50

Lecture 16

Understanding cancer drug resistance from cell subpopulation dynamics revealed by temporal single-cell data
Joseph X ZHOU (Institute for Systems Biology, Seattle, USA)

11:50-12:20

Lecture 17

Combined computational and experimental approaches to understand tissue composition
Joern WALTER (University of Saarland, Germany)

12:20-14:00

Lunch

Afternoon

Session 4: Single Cell Biology
(Chair: Zemin ZHANG)

14:00-14:30

Lecture 18

Clinical utility of single cell genome analysis
Woong- Yang PARK (Samsung Genome Institute, Korea)

14:30-15:00

Lecture 19

Exploring the mechanisms of haematopoietic lineage progression at the single-cell
Ana Cvejic (University of Cambridge, UK)

15:00-15:30

Lecture 20

Developmental and spatial transcriptome reveals lineage segregation of post-implantation mouse embryo
Naihe JING (Shanghai Institute of Biochemistry and Cell Biology, CAS, China)

15:30-15:45

Coffee break

15:45-16:15

Lecture 21

Using single-cell gene expression profiling to identify and track subpopulations of developing human neurons
Larry Stanton (GIS, Singapore)

16:15-16:45

Lecture 22

Understanding the pancreatic lineage differentiation at the single-cell level
Cheng-Ran Xu (Peking University)

16:45-17:15

Lecture 23

The comparison of high-throughput single-cell RNA-seq methods
Jianbin Wang (Tsinghua University)

17:15-

Discussion & Close

Computational analysis of single-cell data and cell-type heterogeneity: 
the next frontier

© Copyright 2018 Shanghai Institutes for Biological Sciences, CAS - All rights reserved.

Contact

cheminauguration2018@shanghaitech.edu.cn

199 Huanke Road, Pudong District, Shanghai.