Oct. 8, 2020

9:00am                Welcome

9:05-9:50             Keynote Address
Cell Atlases as Roadmaps to Understand and Treat Disease                              Orit Rozenblatt-Rosen, Broad Institute

9:50-10:00          Break

Session 1:          Single Cell in Cancer
Moderator: Nick Navin, MD Anderson Cancer Center

10:00-10:25        Single-cell Genomics Reveals Clonal Evolution of Acute Myeloid Leukemia
Koichi Takahashi, MD Anderson Cancer Center

10:25-10:50        Breast Cancer Evolution through the Lens of Single Cell Genomics
Nick Navin, MD Anderson Cancer Center

10:50-11:10        Aneuploidy Lineage Tracing Enabling Cancer Gene Discovery in Single-cell Sequencing Data
Fang Wang, MD Anderson Cancer Center

11:10-11:40        Vendor Information Session
Moderator: Zhongming Zhao, UT Health Science Center Houston

Session 2:          Single Cell Genomics Applications
                                 Moderator: Hongyu Miao, UT Health Science Center

11:40-12:05        Discovery of 3 New Natural Killer (NK) Cell Populations & CD4+/CD8+/NK Cell-Specific Radiation Response Signature using Single-Cell Transcriptomics
Preethi Gunaratne, University of Houston

12:05-12:30        Regulation of Metabolism in SWI/SNF-deficient Lung Adenocarcinoma
Courtney Hodges, Baylor College of Medicine

12:30-12:50        Single-cell Reconstruction of Differentiation Trajectory Reveals A Critical Role of ETS1 in Human Cardiac Lineage Commitment
Huang Ruan, UT Health Science Center

12:50-2:00     Poster session, and Vendor Workshop
12:50-2:00     Vendor workshop
1:00-1:40       Poster session 1

Jessica	Butts	Elucidating the Molecular Basis of Atoh1 Lineage Diversity in the Developing Hindbrain
Katerina	Cermakova	A Ubiquitous Disordered Protein Interaction Module Orchestrates Transcription Elongation
Courtney	Chambers	Subunit-Specific Roles of BAF-Family Chromatin Remodelers in Macrophage Polarization
Yuen San	Chan	Identification of SMARCA4-dependent Changes That Drive ACC progression
Xuesen	Cheng	Single-nuclei RNA-seq Provides Comprehensive Transcriptomic Classification of Human Retinal Cell Types
Yulin	Dai	Systematic Tissue- and Cell-Type-Specific Enrichment Analysis Highlights Brain Cerebellar Granule and Purkinje Cells Involved in Alcohol Consumption
Jinzhuang	Dou	Single-cell Transcriptomic and Mass Cytometry Characterization of CAR-NK Cell Exhaustion
Xian	Fan	Methods/Models for Copy Number Aberration Detection and Phylogenetic Tree Inference from Single-cell DNA Sequencing Data
Yipeng	Gao	ScDaPars: Transcriptome-Wide Single-Cell Dynamic Analysis Of Alternative Polyadenylation From Single-Cell RNA-Seq
Chenlin	Hu	Antifungal Echinocandin Induces the Formation of Polyploids in Human Fungal Pathogen Candida glabrata
Aishwarya	Juttu	Laminar Shear Stress Attenuates NLRP3 Inflammasome Signaling in Palmitate-Stimulated Endothelial Cells
Zachary	Kadow	Analysis of Feasibility and Stability of Single Cell Transcriptomics in Patient Derived Cryopreserved Blood Cells
Sangbae	Kim	Single-Cell Transcriptomics Reveals Novel Cell Types From Stem Cells To Their Progenies In Human Corneal Limbal Epithelium

2:00-2:50             Keynote Address
The Cell is a Bag of RNA
Steven Quake, Stanford University

2:50-3:30             Vendor Workshop and
Poster Session 2

Dongheon	Lee	Estimation of Parameter Distributions for A Single-cell Level Signaling Pathway Model
Jiangyuan	Li	MMD Based Gaussian Mixture Variational Auto-encoder for Integrating Single-cell Gene Expression Data
Jinmiao	Li	Novel Cell Types and Molecular Markers of Human Corneal Epithelial Stem/Progenitor Cells Uncovered by Cutting-edge Single-Cell Transcriptomics
Qingnan	Liang	A Comprehensive Transcriptomic Profiling of Human Retinal Cells
Shaoheng	Liang	Visualization and Analysis of Single-Cell RNA-Seq Data Using Batch Orthogonal Distance
Brenna	McCauley	Characterizing the Periosteal Skeletal Stem Cell Population by Single-Cell RNA-seq
Muharrem	Muftuoglu	High-Dimensional Single-Cell Proteomics Analysis Reveals Therapeutic Vulnerabilities and Informs Potential Mechanisms of Resistance in Patients with Relapsed and Refractory AML
Daniel	Osorio Hurtado	Systematic Determination of The Mitochondrial Proportion in Human and Mice Tissues for Single-Cell RNA Sequencing Data Quality Control
Trenton	Piepergerdes	Using Single Cell RNA Sequencing to Understand Chondrogenic Differentiation of Mesenchymal Stem Cells
Jamie	Reyes	DNMT3A-dependent Transcriptional Priming of Hematopoietic Stem Cells in Response to Aging
Elizabeth	Salisbury	Identification of a Novel Macrophage Population Induced During Heterotopic Bone Formation Using Single Cell RNA-sequencing
Danh Dinh	Truong	Single-Cell Analysis of Liposarcoma using the Mesenchymal Tissue Landscape as a Reference Atlas
Qian	Xu	Correction of Human Pancreas Cell Type Annotation Using Single Cell RNA-seq Data Integration

Session 3:          Software Tools and Technologies                              Moderator: Luay Nakhleh, Rice University

3:30-3:55             Learning Meaningful Cell Representations
Lukas Simon, Baylor College of Medicine

3:55-4:20             Clonal Substructure and Copy Number Inference of Human Tumors Using Single Cell Transcriptomes
Ruli Gao, Methodist Research Institute

4:20-4:45              Machine Learning Analysis of Single-cell Gene Regulatory Networks Reveals Potential Mechanisms of Action of Antimalarials Against SARS-CoV-2
James Cai, Texas A&M University

4:45                      Closing Remarks