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Intricacies of single-cell multi-omics data integration

Item Type:Review
Title:Intricacies of single-cell multi-omics data integration
Creators Name:Rautenstrauch, P. and Vlot, A.H.C. and Saran, S. and Ohler, U.
Abstract:A wealth of single-cell protocols makes it possible to characterize different molecular layers at unprecedented resolution. Integrating the resulting multimodal single-cell data to find cell-to-cell correspondences remains a challenge. We argue that data integration needs to happen at a meaningful biological level of abstraction and that it is necessary to consider the inherent discrepancies between modalities to strike a balance between biological discovery and noise removal. A survey of current methods reveals that a distinction between technical and biological origins of presumed unwanted variation between datasets is not yet commonly considered. The increasing availability of paired multimodal data will aid the development of improved methods by providing a ground truth on cell-to-cell matches.
Keywords:Single-Cell Omics, Multimodal Data Integration, Single-Cell Multi-Omic Assays, Cell Type Identity, Method Development, Multi-Omics Data Integration
Source:Trends in Genetics
Publisher:Cell Press / Elsevier
Page Range:128-139
Date:February 2022
Additional Information:Copyright © 2021 Elsevier Ltd. All rights reserved.
Official Publication:https://doi.org/10.1016/j.tig.2021.08.012
PubMed:View item in PubMed

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