Speaker articles

Take a look at what the speakers from the upcoming symposium, Single Cells: Technology to Biology have published recently and chat with them about their research in Singapore in February:

Speakers

Ido AmitWeizmann Institute of Science, Israel
Differences in Cell Cycle Status Underlie Transcriptional Heterogeneity in the HSC Compartment.

Kok Hao Chen, Genome Institute of Singapore/A*STAR, Singapore
Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors.

Connie Eaves, University of British Columbia, Canada
Mass Cytometric Analysis Reveals Viable Activated Caspase-3+ Luminal Progenitors in the Normal Adult Human Mammary Gland.

Alistair Forrest, Harry Perkins Institute of Medical Research/University of Western Australia, Australia
An atlas of human long non-coding RNAs with accurate 5′ends

Eileen Furlong, EMBL, Germany
The cis-regulatory dynamics of embryonic development at single-cell resolution.

Florent Ginhoux, A*STAR, Singapore
Single-cell characterization of haematopoietic progenitors and their trajectories in homeostasis and perturbed haematopoiesis.

Young Seok Ju, KAIST, Korea
Mutalisk: a web-based somatic MUTation AnaLyIS toolKit for genomic, transcriptional and epigenomic signatures.

Peter Kharchenko, Harvard Medical School, USA
Epigenetic Memory Underlies Cell-Autonomous Heterogeneous Behavior of Hematopoietic Stem Cells.

Emma Lundberg, SciLifeLab/KTH, Sweden
CEP128 Localizes to the Subdistal Appendages of the Mother Centriole and Regulates TGF-β/BMP Signaling at the Primary Cilium.

Joakim Lundeberg, SciLifeLab/KTH, Sweden
Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity.

John Marioni, EMBL-European Bioinformatics Institute, UK
Detection and removal of barcode swapping in single-cell RNA-seq data.

Woong-Yang Park, Samsung Genome Institute/Sungkyunkwan University School of Medicine, Korea
Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data.

Shyam Prabhakar, Genome Institute of Singapore/A*STAR, Singapore
Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors.

Nikolaus Rajewsky, Max Delbrück Center, Germany 
Cell type atlas and lineage tree of a whole complex animal by single-cell transcriptomics.

Rahul Satija, New York Genome Center/NYU, USA
Phenotypic Convergence: Distinct Transcription Factors Regulate Common Terminal Features.

Jay Shin, RIKEN, Japan
SCPortalen: human and mouse single-cell centric database.

Fuchou Tang, Peking University, China
Spatial transcriptomic survey of human embryonic cerebral cortex by single-cell RNA-seq analysis.

Bosiljka Tasic, Allen Institute for Brain Science, USA
A Suite of Transgenic Driver and Reporter Mouse Lines with Enhanced Brain-Cell-Type Targeting and Functionality.

Fabian Theis, Helmholtz Zentrum München, Germany
SCANPY: large-scale single-cell gene expression data analysis.

Fiona Watt, King's College London, UK  
Spatial and Single-Cell Transcriptional Profiling Identifies Functionally Distinct Human Dermal Fibroblast Subpopulations.

 

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