Open AccessSingle-cell transcriptional diversity is a hallmark of developmental potential
Author(s) -
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,
Feiqiao Brian Yu,
Frederick M. Dirbas,
Michael F. Clarke,
Aaron M. Newman
Publication year - 2020
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.aax0249
Subject(s) - biology , computational biology , cell lineage , diversity (politics) , lineage (genetic) , cell , regeneration (biology) , cellular differentiation , gene , developmental biology , evolutionary biology , genetics , sociology , anthropology
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. Gulatiet 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
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom