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Single-cell transcriptional diversity is a hallmark of developmental potential

Title: Single-cell transcriptional diversity is a hallmark of developmental potential
Authors: Gulati, Gunsagar S.; Sikandar, Shaheen S.; Wesche, Daniel J.; Manjunath, Anoop; Bharadwaj, Anjan; Berger, Mark J.; Ilagan, Francisco; Kuo, Angera H.; Hsieh, Robert W.; Cai, Shang; Zabala, Maider; Scheeren, Ferenc A.; Lobo, Neethan A.; Qian, Dalong; Yu, Feiqiao B.; Dirbas, Frederick M.; Clarke, Michael F.; Newman, Aaron M.
Contributors: National Science Foundation; U.S. Department of Defense; National Cancer Institute; Stanford Bio-X Bowes Graduate Student Fellowship; Stanford Medical Science Training Program; Virginia and D.K. Ludwig Fund for Cancer Research; Stinehart-Reed foundation; Stanford Bio-X Interdisciplinary Initiatives Seed Grants Program; Breast Cancer Research Foundation
Source: Science ; volume 367, issue 6476, page 405-411 ; ISSN 0036-8075 1095-9203
Publisher Information: American Association for the Advancement of Science (AAAS)
Publication Year: 2020
Description: 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
Document Type: article in journal/newspaper
Language: English
DOI: 10.1126/science.aax0249
Availability: https://doi.org/10.1126/science.aax0249; https://syndication.highwire.org/content/doi/10.1126/science.aax0249; https://www.science.org/doi/pdf/10.1126/science.aax0249
Accession Number: edsbas.CE79C535
Database: BASE