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This meeting took place in 2019
Here are the related meetings in 2021:
MEETING CHANGE TO VIRTUAL: Single Cell Biology (C5)
For a complete list of the meetings for the upcoming/current season, see our meeting list, or search for a meeting.
Single Cell Biology (L1)
Organizer(s) Timm Schroeder and Berthold Göttgens
January 13—17, 2019
Beaver Run Resort • Breckenridge, CO USA
Discounted Abstract Deadline: Oct 10, 2018
Abstract Deadline: Oct 18, 2018
Scholarship Deadline: Oct 10, 2018
Discounted Registration Deadline: Nov 15, 2018
Sponsored by Bayer AG, BioLegend, Inc., Cell Research and Merck & Co., Inc.
This activity is supported by an educational grant from Celgene Corporation.
This activity is supported by an educational grant from Celgene Corporation.
Summary of Meeting:
Individual cells are the building blocks of all metazoan organisms, and the importance of analyzing biology at the single cell level has long been recognized. However, only recently have technological developments begun to allow quantitative single cell analyses on a broad scale, leading to an explosion of international single-cell research. This is an interdisciplinary field with fast-developing data acquisition modalities together with bespoke computational approaches, and now is a major driver of progress across many areas of biology, diagnostics and therapy. Dedicated conferences bringing together scientists with different technological, computational and biomedical focus are therefore crucial to ensure mutual communication and to shape future developments. Current single cell meetings focus on high-throughput molecular snapshot measurements and their computational analysis. This conference will go beyond by emphasizing biological and biomedical applications of single cell approaches, including dynamic live cell measurements, to better understand the molecular control of cell fates and multi-cellular tissue generation in health and disease.
View Scholarships/Awards
Individual cells are the building blocks of all metazoan organisms, and the importance of analyzing biology at the single cell level has long been recognized. However, only recently have technological developments begun to allow quantitative single cell analyses on a broad scale, leading to an explosion of international single-cell research. This is an interdisciplinary field with fast-developing data acquisition modalities together with bespoke computational approaches, and now is a major driver of progress across many areas of biology, diagnostics and therapy. Dedicated conferences bringing together scientists with different technological, computational and biomedical focus are therefore crucial to ensure mutual communication and to shape future developments. Current single cell meetings focus on high-throughput molecular snapshot measurements and their computational analysis. This conference will go beyond by emphasizing biological and biomedical applications of single cell approaches, including dynamic live cell measurements, to better understand the molecular control of cell fates and multi-cellular tissue generation in health and disease.
View Scholarships/Awards
No registration fees are used to fund entertainment or alcohol at this conference
The meeting will begin on Sunday, January 13 with registration from 16:00 to 20:00 and a welcome mixer from 18:00 to 20:00. Conference events conclude on Thursday, January 17 with a closing plenary session from 17:00 to 19:00, followed by a social hour and entertainment. We recommend return travel on Friday, January 18 in order to fully experience the meeting.
SUNDAY, JANUARY 13
MONDAY, JANUARY 14
TUESDAY, JANUARY 15
WEDNESDAY, JANUARY 16
THURSDAY, JANUARY 17
FRIDAY, JANUARY 18
Conference Program Print | View meeting in 12 hr (am/pm) time
The meeting will begin on Sunday, January 13 with registration from 16:00 to 20:00 and a welcome mixer from 18:00 to 20:00. Conference events conclude on Thursday, January 17 with a closing plenary session from 17:00 to 19:00, followed by a social hour and entertainment. We recommend return travel on Friday, January 18 in order to fully experience the meeting.
SUNDAY, JANUARY 13
18:00—20:00
Welcome Mixer
No registration fees are used to fund alcohol served at this function.
08:00—09:00
Welcome and Keynote Address
*
Berthold Göttgens,
Cambridge Institute for Medical Research, UK
*
Timm Schroeder,
ETH Zürich, Switzerland
Scott E. Fraser,
University of Southern California, USA
Multimodal Single Cell Imaging
Multimodal Single Cell Imaging
09:00—11:30
Single Cell Computational Biology
*
Timm Schroeder,
ETH Zürich, Switzerland
Fabian Theis,
Helmholtz Zentrum München, Germany
Modeling Differentiation and Stimulation Response in Single-Cell Genomics
Modeling Differentiation and Stimulation Response in Single-Cell Genomics
Coffee Break
Rahul Satija,
New York Genome Center, USA
Integrated Analysis of Single Cell Data across Modalities, Technologies and Species
Integrated Analysis of Single Cell Data across Modalities, Technologies and Species
Dana Pe'er,
Memorial Sloan Kettering Cancer Center, USA
Computational Tools to Advance Single Cell Biology
Computational Tools to Advance Single Cell Biology
Chuangqi Wang,
Worcester Polytechnic Institute, USA
Short Talk: A Machine Learning Approach to Deconvolve Subcellular Protrusion Heterogeneity and the Underlying Actin Regulator Dynamics from Live Cell Imaging
Short Talk: A Machine Learning Approach to Deconvolve Subcellular Protrusion Heterogeneity and the Underlying Actin Regulator Dynamics from Live Cell Imaging
Hanchuan Peng,
Allen Institute for Brain Science, USA
Short Talk: Large-Scale Reconstruction of 3D Full Morphology of Mouse Neurons at Whole Brain Scale
Short Talk: Large-Scale Reconstruction of 3D Full Morphology of Mouse Neurons at Whole Brain Scale
14:30—16:00
Workshop 1: Driving Innovation in Single Cell Sequencing Data Analysis
*
Dana Pe'er,
Memorial Sloan Kettering Cancer Center, USA
*
Rahul Satija,
New York Genome Center, USA
Robin Browaeys,
VIB-UGent Center for Inflammation Research, Belgium
NicheNet: Modeling Intercellular Communication by Linking Ligands to Target Genes
NicheNet: Modeling Intercellular Communication by Linking Ligands to Target Genes
Andrew Butler,
New York Genome Center, USA
Comprehensive Integration of Single Cell Data
Comprehensive Integration of Single Cell Data
George C. Linderman,
Yale University, USA
Zero-Preserving Imputation of scRNA-seq Data Using Low-Rank Approximation
Zero-Preserving Imputation of scRNA-seq Data Using Low-Rank Approximation
Ilya Korsunsky,
Harvard Medical School, USA
Harmony for Scalable, Sensitive and Flexible Linear Multi-Dataset Integration and Batch Correction in Single Cell RNAseq
Harmony for Scalable, Sensitive and Flexible Linear Multi-Dataset Integration and Batch Correction in Single Cell RNAseq
Xiang Zhou,
University of Michigan, USA
Integrative Differential Expression and Gene Set Enrichment Analysis in Single Cell RNAseq Studies
Integrative Differential Expression and Gene Set Enrichment Analysis in Single Cell RNAseq Studies
Grégoire Altan-Bonnet,
NCI, National Institutes of Health, USA
Hierarchical Agglomerative Clustering of CyTOF Data Robustly Identifies Immunodeficiencies in Large Cohort of Patients
Hierarchical Agglomerative Clustering of CyTOF Data Robustly Identifies Immunodeficiencies in Large Cohort of Patients
Shiyi Yang,
Boston University, USA
DecontX: In Silico Decontamination of Ambient RNA in Single-Cell RNA-Seq Data
DecontX: In Silico Decontamination of Ambient RNA in Single-Cell RNA-Seq Data
Gregory W. Schwartz,
University of Pennsylvania, USA
Too Many Cells Identifies and Visualizes Relationships of Single-Cell Clades
Too Many Cells Identifies and Visualizes Relationships of Single-Cell Clades
Rongxin Fang,
University of California, San Diego & Salk Institute, USA
Single-Cell Regulomes Reveal Cell Taxonomy, Architectonic Heterogeneity and Regulatory Elements in Mammalian Cortex
Single-Cell Regulomes Reveal Cell Taxonomy, Architectonic Heterogeneity and Regulatory Elements in Mammalian Cortex
Junil Kim,
University of Copenhagen, Denmark
Reconstruction of Gene Regulatory Network from Pseudo-Time Ordered Single-Cell RNA Sequencing Data Using Conditional Mutual Information
Reconstruction of Gene Regulatory Network from Pseudo-Time Ordered Single-Cell RNA Sequencing Data Using Conditional Mutual Information
Corey M. Williams,
University of Virginia, USA
Trajectory Mapping in Single Cell Time Course Datasets using FLOW-MAP: A Graph-Based, Force-Directed Layout Algorithm
Trajectory Mapping in Single Cell Time Course Datasets using FLOW-MAP: A Graph-Based, Force-Directed Layout Algorithm
Robrecht Cannoodt,
Ghent University, Belgium
Dynbenchmark: Assessing Accuracy, Scalability, Robustness and Usability of Single-Cell Trajectory Inference Methods
Dynbenchmark: Assessing Accuracy, Scalability, Robustness and Usability of Single-Cell Trajectory Inference Methods
Wouter Saelens,
Ghent University, Belgium
Dyno: Inferring, Visualizing and Interpreting Single-Cell Trajectories
Dyno: Inferring, Visualizing and Interpreting Single-Cell Trajectories
16:00—16:30
Panel: Future Directions for Single Cell Computational Biology
*
Berthold Göttgens,
Cambridge Institute for Medical Research, UK
Dana Pe'er,
Memorial Sloan Kettering Cancer Center, USA
Rahul Satija,
New York Genome Center, USA
Fabian Theis,
Helmholtz Zentrum München, Germany
Allon M. Klein,
Harvard University, USA
17:00—19:00
Development at Single Cell Resolution
*
Ellen V. Rothenberg,
California Institute of Technology, USA
Berthold Göttgens,
Cambridge Institute for Medical Research, UK
Mapping Development a Single Cell Resolution
Mapping Development a Single Cell Resolution
Amos Tanay,
Weizmann Institute, Israel
Single Cell Epigenetics and Transcriptional Control of Cellular States
Single Cell Epigenetics and Transcriptional Control of Cellular States
Allon M. Klein,
Harvard University, USA
Cell Fate Diversification Analyzed at Single Cell Resolution
Cell Fate Diversification Analyzed at Single Cell Resolution
Samantha A. Morris,
Washington University in St Louis, USA
Short Talk: Single-Cell Mapping of Lineage and Identity in Direct Reprogramming
Short Talk: Single-Cell Mapping of Lineage and Identity in Direct Reprogramming
Julie B. Sneddon,
University California, San Francisco, USA
Short Talk: Lineage Dynamics of Pancreatic Endocrine Development at Single-Cell Resolution
Short Talk: Lineage Dynamics of Pancreatic Endocrine Development at Single-Cell Resolution
19:00—20:00
Social Hour with Lite Bites
No registration fees are used to fund alcohol served at this function.
08:00—11:15
From Single Cell Measurements to Molecular Mechanisms
*
Patricia Ernst,
University of Colorado Anschutz Medical Center, USA
Ellen V. Rothenberg,
California Institute of Technology, USA
Single-Cell Insights into Molecular Mechanisms Controlling Lymphoid Cell Fates
Single-Cell Insights into Molecular Mechanisms Controlling Lymphoid Cell Fates
Coffee Break
Caroline Uhler,
Massachusetts Institute of Technology, USA
From Single Cell Measurements to Computational Models of Gene Networks and 3D DNA Organization
From Single Cell Measurements to Computational Models of Gene Networks and 3D DNA Organization
Timm Schroeder,
ETH Zürich, Switzerland
Analyzing Cell Fate Control Dynamics by Long-Term Single-Cell Quantification
Analyzing Cell Fate Control Dynamics by Long-Term Single-Cell Quantification
Rene Maehr,
University of Massachusetts Medical School, USA
Short Talk: Single-Cell RNA Sequencing-Based CRISPRi Screening Resolves Molecular Drivers of Human Endoderm Development
Short Talk: Single-Cell RNA Sequencing-Based CRISPRi Screening Resolves Molecular Drivers of Human Endoderm Development
Min Xue,
University of California, Riverside, USA
Short Talk: Dynamic Profiling of Intracellular Signaling Activities in Single Cells
Short Talk: Dynamic Profiling of Intracellular Signaling Activities in Single Cells
Masahiro Ueda,
RIKEN, Japan
Short Talk: Automated Live Single-Cell Imaging Analysis of Intracellular Signal Transduction with Single-Molecule Sensitivity
Short Talk: Automated Live Single-Cell Imaging Analysis of Intracellular Signal Transduction with Single-Molecule Sensitivity
17:00—19:00
Imaging in 3D and In Vivo
*
Scott E. Fraser,
University of Southern California, USA
Cristina Lo Celso,
Imperial College London, UK
Healthy and Malignant Haematopoiesis in the Bone Marrow: Dynamic Cells in a Plastic Environment
Healthy and Malignant Haematopoiesis in the Bone Marrow: Dynamic Cells in a Plastic Environment
Prisca Liberali,
Friedrich Miescher Institute for Biomedical Research, Switzerland
Self-Organization and Symmetry Breaking in Intestinal Organoid Development
Self-Organization and Symmetry Breaking in Intestinal Organoid Development
Sinem K. Saka,
Harvard University, USA
Short Talk: Immuno-SABER for Highly Multiplexed and Sensitive in situ Protein Imaging with Signal Amplification
Short Talk: Immuno-SABER for Highly Multiplexed and Sensitive in situ Protein Imaging with Signal Amplification
Leo Kunz,
ETH Zurich, Switzerland
Short Talk: Visualization and Quantification of Cytokines at the Single Molecule Level in situ
Short Talk: Visualization and Quantification of Cytokines at the Single Molecule Level in situ
19:00—20:00
Social Hour with Lite Bites
No registration fees are used to fund alcohol served at this function.
08:00—11:15
New Technology for New Biology
*
Xiaowei Zhuang,
Harvard University, USA
Stephen Quake,
Stanford University, USA
Fluidics Devices for Single Cell Quantification and Manipulation
Fluidics Devices for Single Cell Quantification and Manipulation
Bart Deplancke,
Swiss Federal Institute of Technology Lausanne, Switzerland
Low-Input Single- and Intra-Cell RNA-Seq Technologies
Low-Input Single- and Intra-Cell RNA-Seq Technologies
Coffee Break
Georg Seelig,
University of Washington, USA
Single-Cell Profiling of the Developing Mouse Brain and Spinal Cord with Split-Pool Barcoding
Single-Cell Profiling of the Developing Mouse Brain and Spinal Cord with Split-Pool Barcoding
Alex K. Shalek,
Massachusetts Institute of Technology, USA
New Technologies for Complex Single Cell Profiling
New Technologies for Complex Single Cell Profiling
Gary Hon,
University of Texas Southwestern Medical Center, USA
Short Talk: Rational Reprogramming of Cellular States by Single-Cell Combinatorial Perturbation
Short Talk: Rational Reprogramming of Cellular States by Single-Cell Combinatorial Perturbation
Breanna DiAndreth,
Massachusetts Institute of Technology, USA
Short Talk: One-Pot Transfection Method for Rapid Characterization and Optimization of Genetic Systems
Short Talk: One-Pot Transfection Method for Rapid Characterization and Optimization of Genetic Systems
Luca Rappez,
European Molecular Biology Laboratory, Germany
Short Talk: Spatial Single-Cell Profiling of Intracellular Metabolomes in situ
Short Talk: Spatial Single-Cell Profiling of Intracellular Metabolomes in situ
17:00—19:00
Extracting Information from Highdimensional Measurements
*
Lucas Pelkmans,
University of Zürich, Switzerland
Xiaowei Zhuang,
Harvard University, USA
Single-Cell Transcriptome and Genome Imaging
Single-Cell Transcriptome and Genome Imaging
Rick F. Horwitz,
Allen Institute for Cell Science, USA
Conjoining Single Cell Imaging, Genomics and Computation to Create a Stem Cell State Space
Conjoining Single Cell Imaging, Genomics and Computation to Create a Stem Cell State Space
Remco Loos,
Celgene Institute for Translational Research Europe, Spain
Understanding Heterogeneity in Acute Myeloid Leukemia through Bulk and Single-Cell Gene Expression Profiling
Understanding Heterogeneity in Acute Myeloid Leukemia through Bulk and Single-Cell Gene Expression Profiling
Fan Zhang,
Harvard Medical School, USA
Short Talk: Integrating Bulk and Single-Cell Transcriptomics with Mass Cytometry Data to Define Inflammatory Cell States in Rheumatoid Arthritis
Short Talk: Integrating Bulk and Single-Cell Transcriptomics with Mass Cytometry Data to Define Inflammatory Cell States in Rheumatoid Arthritis
19:00—20:00
Social Hour with Lite Bites
No registration fees are used to fund alcohol served at this function.
08:00—11:00
Reconstructing Cell Lineages
*
Allon M. Klein,
Harvard University, USA
Thomas Hofer,
Deutsches Krebsforschungszentrum, Germany
Modeling Population Dynamics of Lineage Pathways through Barcoding Analysis
Modeling Population Dynamics of Lineage Pathways through Barcoding Analysis
Barbara Wold,
California Institute of Technology, USA
Following Cellular Reprogramming at the Single Cell Level
Following Cellular Reprogramming at the Single Cell Level
Coffee Break
Wolf Reik,
Babraham Institute, UK
Single Cell Epigenome Landscape of Development and Aging
Single Cell Epigenome Landscape of Development and Aging
Fernando D. Camargo,
Boston Children's Hospital, USA
Cellular Barcoding in Mammalian Systems
Cellular Barcoding in Mammalian Systems
Aziz Al'Khafaji,
University of Texas, USA
Short Talk: Studying Therapeutic Resistance in Chronic Lymphocytic Leukemia using Functionalized Lineage Tracing
Short Talk: Studying Therapeutic Resistance in Chronic Lymphocytic Leukemia using Functionalized Lineage Tracing
Bushra Raj,
Harvard University, USA
Short Talk: Reconstruction of Brain Specification and Lineage Trees with Single-Cell Profiling and CRISPR Recorders
Short Talk: Reconstruction of Brain Specification and Lineage Trees with Single-Cell Profiling and CRISPR Recorders
14:30—16:30
Workshop 2: Novel Single Cell Technologies
*
Bart Deplancke,
Swiss Federal Institute of Technology Lausanne, Switzerland
Keyue Ma,
University of Texas at Austin, USA
High-Throughput Single-Cell Linking of Antigen Specificity to T Cell Receptor Sequences
High-Throughput Single-Cell Linking of Antigen Specificity to T Cell Receptor Sequences
Christopher S. McGinnis,
University of California, San Francisco, USA
MULTI-seq: Scalable Sample Multiplexing for Single-Cell RNA Sequencing using Lipid-Tagged Indices
MULTI-seq: Scalable Sample Multiplexing for Single-Cell RNA Sequencing using Lipid-Tagged Indices
Arnav Moudgil,
Washington University in St. Louis, USA
Joint Assay of Single Cell RNA-Seq and Transcription Factor Binding
Joint Assay of Single Cell RNA-Seq and Transcription Factor Binding
Mandeep Singh,
Garvan Institute of Medical Research, Australia
Linking High-Throughput Single-Cell RNA Sequencing with Targeted Long-Read Sequencing
Linking High-Throughput Single-Cell RNA Sequencing with Targeted Long-Read Sequencing
Chengzhe Tian,
University of Colorado Boulder, USA
A “Global Tracker” for Hard-to-Track Cancer Cells Reveals Substantial Heterogeneity in the Dynamics of Single-Cell Drug Responses
A “Global Tracker” for Hard-to-Track Cancer Cells Reveals Substantial Heterogeneity in the Dynamics of Single-Cell Drug Responses
David M. Suter,
École Polytechnique Fédérale de Lausanne, Switzerland
Single Live Cell Monitoring of Protein Turnover Reveals Intercellular Variability and Cell Cycle Dependence of Degradation Rates
Single Live Cell Monitoring of Protein Turnover Reveals Intercellular Variability and Cell Cycle Dependence of Degradation Rates
Emily B. Fabyanic,
University of Pennsylvania, USA
Probing the Mammalian Hydroxymethylome at Single-Cell Resolution Using a DNA Deaminase
Probing the Mammalian Hydroxymethylome at Single-Cell Resolution Using a DNA Deaminase
17:00—18:45
Neuroscience at Single Cell Resolution
*
Prisca Liberali,
Friedrich Miescher Institute for Biomedical Research, Switzerland
Barbara Treutlein,
ETH Zürich, Switzerland
Single-Cell Transcriptomics Uncovers Convergence of Cell Identities during Axolotl Limb Regeneration
Single-Cell Transcriptomics Uncovers Convergence of Cell Identities during Axolotl Limb Regeneration
Farimah Mapar,
Massachusetts Institute of Technology, USA
Short Talk: Design and Analysis of Staged Mutual Inhibition: Using Single Neuron Computation to Implement Bi-Stable Neuronal Toggle Switch
Short Talk: Design and Analysis of Staged Mutual Inhibition: Using Single Neuron Computation to Implement Bi-Stable Neuronal Toggle Switch
19:00—20:00
Social Hour with Lite Bites
No registration fees are used to fund alcohol served at this function.
20:00—23:00
Entertainment
Entertainment is not subsidized by conference registration fees nor any U.S. federal government grants. Funding for this expense is provided by other revenue sources.
*Session Chair †Invited, not yet responded.
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