The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution
- PMID: 30930166
- PMCID: PMC6616346
- DOI: 10.1016/j.devcel.2019.03.001
The Pediatric Cell Atlas: Defining the Growth Phase of Human Development at Single-Cell Resolution
Abstract
Single-cell gene expression analyses of mammalian tissues have uncovered profound stage-specific molecular regulatory phenomena that have changed the understanding of unique cell types and signaling pathways critical for lineage determination, morphogenesis, and growth. We discuss here the case for a Pediatric Cell Atlas as part of the Human Cell Atlas consortium to provide single-cell profiles and spatial characterization of gene expression across human tissues and organs. Such data will complement adult and developmentally focused HCA projects to provide a rich cytogenomic framework for understanding not only pediatric health and disease but also environmental and genetic impacts across the human lifespan.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.
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References
-
- American College of Obstetricians and Gynecologists, Task Force on Hypertension in Pregnancy (2013). Hypertension in pregnancy. Report of the American College of Obstetricians and Gynecologists’ Task Force on Hypertension in Pregnancy; pp. 1122–1131. - PubMed
-
- Amodio M, Srinivasan K, van Dijk D, Mohsen H, Yim K, Muhle R, Moon KR, Kaech S, Sowell R, Montgomery R, et al. (2017). Exploring Single-Cell Data with Multitasking Deep Neural Networks. bioRxiv 237065.
-
- Andropoulos DB (2018). Effect of Anesthesia on the Developing Brain: Infant and Fetus. Fetal Diagn Ther 43, 1–11. - PubMed
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