| Chapter title |
Phenotypic Screening of Small-Molecule Inhibitors: Implications for Therapeutic Discovery and Drug Target Development in Traumatic Brain Injury.
|
|---|---|
| Chapter number | 37 |
| Book title |
Injury Models of the Central Nervous System
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3816-2_37 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3814-8, 978-1-4939-3816-2
|
| Authors |
Hassan Al-Ali, Vance P. Lemmon, John L. Bixby Ph.D., John L. Bixby |
| Editors |
Firas H. Kobeissy, C. Edward Dixon, Ronald L. Hayes, Stefania Mondello |
| Abstract |
The inability of central nervous system (CNS) neurons to regenerate damaged axons and dendrites following traumatic brain injury (TBI) creates a substantial obstacle for functional recovery. Apoptotic cell death, deposition of scar tissue, and growth-repressive molecules produced by glia further complicate the problem and make it challenging for re-growing axons to extend across injury sites. To date, there are no approved drugs for the treatment of TBI, accentuating the need for relevant leads. Cell-based and organotypic bioassays can better mimic outcomes within the native CNS microenvironment than target-based screening methods and thus should speed the discovery of therapeutic agents that induce axon or dendrite regeneration. Additionally, when used to screen focused chemical libraries such as small-molecule protein kinase inhibitors, these assays can help elucidate molecular mechanisms involved in neurite outgrowth and regeneration as well as identify novel drug targets. Here, we describe a phenotypic cellular (high content) screening assay that utilizes brain-derived primary neurons for screening small-molecule chemical libraries. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 50% |
| Student > Ph. D. Student | 1 | 13% |
| Student > Doctoral Student | 1 | 13% |
| Student > Master | 1 | 13% |
| Unknown | 1 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 4 | 50% |
| Agricultural and Biological Sciences | 1 | 13% |
| Chemistry | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 1 | 13% |