Article
Publication Date
June 2018
Journal/Book Title/Conference
Advances in Neurobiology
Volume
21
Abstract
This article, which includes novel unpublished data along with commentary and analysis,focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined frombrain tissue to the original locations within the brain that they are derived from using digital atlasmapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomicanalyses conducted in the mammalian hypothalamus. Following a brief historical overview, wehighlight studies that have mined biochemical and molecular information from the hypothalamusand then lay out a strategy for how these data can be linked spatially to the mapped locations in acanonical brain atlas where the data come from, thereby allowing researchers to integrate thesedata with other datasets across multiple scales. A key methodology that enables atlas-basedmapping of extracted datasets – laser capture microdissection – is discussed in detail, with a viewof how this technology is a bridge between systems biology and systems neuroscience.
First Page
101
Last Page
193
Included in
Animal Experimentation and Research Commons, Bioinformatics Commons, Biology Commons, Biotechnology Commons, Cell Biology Commons, Computational Neuroscience Commons, Developmental Neuroscience Commons, Laboratory and Basic Science Research Commons, Molecular and Cellular Neuroscience Commons, Molecular Biology Commons, Systems Neuroscience Commons