Single-cell transcriptional diversity is a hallmark of developmental potential

Feiqiao Brian Yu; Frederick M. Dirbas; Michael F. Clarke; Aaron M. Newman; Gunsagar S. Gulati; Shaheen S. Sikandar; Daniel J. Wesche; Anoop Manjunath; Anjan Bharadwaj; Mark J. Berger; Francisco Ilagan; Angera H. Kuo; Robert W. Hsieh; Shang Cai; Maider Zabala; Ferenc A. Scheeren; Neethan A. Lobo; Dalong Qian

doi:10.1126/science.aax0249

Abstract

More diversity at the top A detailed knowledge of cell differentiation hierarchies is important for understanding diverse biological processes such as organ development, tissue regeneration, and cancer. Single-cell RNA sequencing can help elucidate these hierarchies, but it requires reliable computational methods for predicting cell lineage trajectories. Gulati et al. developed CytoTRACE, a computational framework based on the simple observation that transcriptional diversity—the number of genes expressed in a cell—decreases during differentiation. CytoTRACE outperformed other methods in several test cases and was successfully applied to study cellular hierarchies in healthy and tumor tissue. Science , this issue p. 405

Keywords

BiologyComputational biologyCell lineageDiversity (politics)Lineage (genetic)CellRegeneration (biology)Cellular differentiationGeneDevelopmental biologyEvolutionary biologyGenetics

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Publication Info

Year: 2020
Type: article
Volume: 367
Issue: 6476
Pages: 405-411
Citations: 1356
Access: Closed

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APA Style

                            
                                
                                    Feiqiao Brian Yu, 
                                
                                    Frederick M. Dirbas, 
                                
                                    Michael F. Clarke
                                
                                et al.
                            
                            (2020). 
                            Single-cell transcriptional diversity is a hallmark of developmental potential. 
                            Science
                            , 367
                            (6476)
                            , 405-411.
                            https://doi.org/10.1126/science.aax0249
                        

Identifiers

DOI: 10.1126/science.aax0249