% pubman genre = article
@article{item_2237443,
title = {{Human cerebral organoids recapitulate gene expression programs of fetal neocortex development}},
author = {Camp, J. Gray and Badsha, Farhath and Florio, Marta and Kanton, Sabina and Gerber, Tobias and Wilsch-Br{\"a}uninger, Michaela and Lewitus, Eric and Sykes, Alex and Hevers, Wulf and Lancaster, Madeline and Knoblich, Juergen A. and Lachmann, Robert and P{\"a}{\"a}bo, Svante and Huttner, Wieland B. and Treutlein, Barbara},
language = {eng},
issn = {0027-8424},
doi = {10.1073/pnas.1520760112},
publisher = {National Academy of Sciences},
address = {Washington, DC},
year = {2015},
date = {2015-12-22},
abstract = {{Cerebral organoids{\textemdash}3D cultures of human cerebral tissue derived from pluripotent stem cells{\textemdash}have emerged as models of human cortical development. However, the extent to which in vitro organoid systems recapitulate neural progenitor cell proliferation and neuronal differentiation programs observed in vivo remains unclear. Here we use single-cell RNA sequencing (scRNA-seq) to dissect and compare cell composition and progenitor-to-neuron lineage relationships in human cerebral organoids and fetal neocortex. Covariation network analysis using the fetal neocortex data reveals known and previously unidentified interactions among genes central to neural progenitor proliferation and neuronal differentiation. In the organoid, we detect diverse progenitors and differentiated cell types of neuronal and mesenchymal lineages and identify cells that derived from regions resembling the fetal neocortex. We find that these organoid cortical cells use gene expression programs remarkably similar to those of the fetal tissue to organize into cerebral cortex-like regions. Our comparison of in vivo and in vitro cortical single-cell transcriptomes illuminates the genetic features underlying human cortical development that can be studied in organoid cultures.}},
journal = {{Proceedings of the National Academy of Sciences of the United States of America}},
volume = {112},
number = {51},
pages = {15672--15677},
}