Advancing Stem Cell Research through Multimodal Single Cell Analysis
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Type
Change log
Authors
Abstract
Technological advances play a key role in furthering our understanding of stem cell biology, and advancing the prospects of regenerative therapies. Highly parallelized methods, developed in the last decade, can profile DNA, RNA or proteins in thousands of cells and even capture data across two or more modalities (multi-omics). This allows unbiased and precise definition of molecular cell states, thus allowing classification of cell types, tracking of differentiation trajectories and discovery of underlying mechanisms. Despite being based on destructive techniques, novel experimental and bioinformatic approaches enable embedding and extraction of temporal information, which is essential for deconvolution of complex data and establishing cause and effect relationships. Here we provide an overview of recent studies pertinent to stem cell biology, followed by an outlook on how further advances in single cell molecular profiling and computational analysis have the potential to shape the future of both basic and translational research.
Description
Keywords
Journal Title
Conference Name
Journal ISSN
1943-0264
Volume Title
Publisher
Publisher DOI
Rights
Sponsorship
Wellcome Trust (206328/Z/17/Z)
Bloodwise (18002)
Wellcome Trust (079895/Z/06/Z)
Wellcome Trust (203151/Z/16/Z)
Medical Research Council (MR/S036113/1)
Medical Research Council (MC_PC_12009)
Medical Research Council (MC_PC_17230)
National Institute of Diabetes and Digestive and Kidney Diseases (R24DK106766)