Chapter title |
Brain Organoids: Expanding Our Understanding of Human Development and Disease
|
---|---|
Chapter number | 8 |
Book title |
Human Neural Stem Cells
|
Published in |
Results and problems in cell differentiation, January 2018
|
DOI | 10.1007/978-3-319-93485-3_8 |
Pubmed ID | |
Book ISBNs |
978-3-31-993484-6, 978-3-31-993485-3
|
Authors |
L. B. Chuye, A. Dimitri, A. Desai, C. Handelmann, Y. Bae, P. Johari, J. M. Jornet, I. Klejbor, M. K. Stachowiak, E. K. Stachowiak, Chuye, L. B., Dimitri, A., Desai, A., Handelmann, C., Bae, Y., Johari, P., Jornet, J. M., Klejbor, I., Stachowiak, M. K., Stachowiak, E. K. |
Abstract |
Stem cell-derived brain organoids replicate important stages of the prenatal human brain development and combined with the induced pluripotent stem cell (iPSC) technology offer an unprecedented model for investigating human neurological diseases including autism and microcephaly. We describe the history and birth of organoids and their application, focusing on cerebral organoids derived from embryonic stem cells and iPSCs. We discuss new insights into organoid-based model of schizophrenia and shed light on challenges and future applications of organoid-based disease model system. This review also suggests hitherto unrevealed potential applications of organoids in combining with new technologies such as nanophotonics/optogenomics for controlling brain development and atomic force microscopy for studying mechanical forces that shape the developing brain. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 56 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 16% |
Student > Bachelor | 7 | 13% |
Student > Master | 7 | 13% |
Researcher | 5 | 9% |
Student > Postgraduate | 4 | 7% |
Other | 5 | 9% |
Unknown | 19 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 11 | 20% |
Biochemistry, Genetics and Molecular Biology | 8 | 14% |
Agricultural and Biological Sciences | 8 | 14% |
Medicine and Dentistry | 2 | 4% |
Social Sciences | 2 | 4% |
Other | 4 | 7% |
Unknown | 21 | 38% |