TY - JOUR
T1 - Statistical single cell multi-omics integration
AU - Colomé-Tatché, M.
AU - Theis, F. J.
N1 - Publisher Copyright:
© 2018 The Authors
PY - 2018/2
Y1 - 2018/2
N2 - Single cell high throughput genomic measurements are revolutionizing the fields of biology and medicine, providing a means to tackle biological problems that have thus far been inaccessible, such as the systematic discovery of new cell types, the identification of cellular heterogeneity in health and disease, or the cell-fate decisions taking place during differentiation and reprogramming. Recently implemented multi–omics measurements of genomes, transcriptomes, epigenomes, proteomes and chromatin organization are opening up new avenues to begin to disentangle the causal relationship between -omics layers and how these co-determine higher-order cellular phenotypes. This technological revolution is not restricted to basic science but promises major breakthroughs in medical diagnostics and treatments. In this paper we review existing computational methods for the analysis and integration of different -omics layers and discuss what new approaches are needed to leverage the full potential of single cell multi-omics data.
AB - Single cell high throughput genomic measurements are revolutionizing the fields of biology and medicine, providing a means to tackle biological problems that have thus far been inaccessible, such as the systematic discovery of new cell types, the identification of cellular heterogeneity in health and disease, or the cell-fate decisions taking place during differentiation and reprogramming. Recently implemented multi–omics measurements of genomes, transcriptomes, epigenomes, proteomes and chromatin organization are opening up new avenues to begin to disentangle the causal relationship between -omics layers and how these co-determine higher-order cellular phenotypes. This technological revolution is not restricted to basic science but promises major breakthroughs in medical diagnostics and treatments. In this paper we review existing computational methods for the analysis and integration of different -omics layers and discuss what new approaches are needed to leverage the full potential of single cell multi-omics data.
UR - http://www.scopus.com/inward/record.url?scp=85045325679&partnerID=8YFLogxK
U2 - 10.1016/j.coisb.2018.01.003
DO - 10.1016/j.coisb.2018.01.003
M3 - Review article
AN - SCOPUS:85045325679
SN - 2452-3100
VL - 7
SP - 54
EP - 59
JO - Current Opinion in Systems Biology
JF - Current Opinion in Systems Biology
ER -