Lookup NU author(s): Dr Venetia Bigley,
Professor Matthew Collin
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Single-cell genomic techniques are opening new avenues to understand the basic units of life. Large international efforts, such as those to derive a Human Cell Atlas, are driving progress in this area; here, cellular map generation is key. To expedite the inevitable iterations of these underlying maps, we have developed a rule-based data-informed approach to build next generation cellular consensus maps. Using the human dendritic-cell and monocyte compartment in peripheral blood as an example, we performed computational integration of previous, partially overlapping maps using an approach we termed ‘backmapping’, combined with multi-color flow- cytometry and index sorting-based single-cell RNA-sequencing. Our general strategy can be applied to any atlas generation for humans and other species.
Author(s): Günther P, Cirovic B, Bassler K, Händler K, Becker M, Dutertre CA, Bigley V, Newell E, Collin M, Ginhoux F, Schlitzer A, Schultze JL
Publication type: Article
Publication status: In Press
Acceptance date: 03/06/2020
Date deposited: 09/07/2020
ISSN (electronic): 2079-7737
Publisher: MDPI AG
Altmetrics provided by Altmetric