"Mapping molecular datasets back to the brain regions they are extracte" by Khan, Alice Grant et al.
 

Publication Date

6-11-2018

Document Type

Article

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This article, which includes novel unpublished data along with commentary and analysis,focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined frombrain tissue to the original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.

Publication Title

Advances in Neurobiology

Volume

21

First Page

101

Last Page

193

DOI

https://doi.org/10.1007/978-3-319-94593-4_6

Plum Print visual indicator of research metrics
PlumX Metrics
  • Citations
    • Citation Indexes: 7
  • Usage
    • Downloads: 5
  • Captures
    • Readers: 40
see details

Share

COinS