Article
Mapping molecular datasets back to the brain regions they are extracted from: Remembering the native countries of hypothalamic expatriates and refugees
Advances in Neurobiology
(2018)
Abstract
This article, which includes novel unpublished data along with commentary and analysis,
focuses on approaches to link transcriptomic, proteomic, and peptidomic datasets mined from
brain tissue to the original locations within the brain that they are derived from using digital atlas
mapping techniques. We use, as an example, the transcriptomic, proteomic and peptidomic
analyses conducted in the mammalian hypothalamus. Following a brief historical overview, we
highlight studies that have mined biochemical and molecular information from the hypothalamus
and then lay out a strategy for how these data can be linked spatially to the mapped locations in a
canonical brain atlas where the data come from, thereby allowing researchers to integrate these
data with other datasets across multiple scales. A key methodology that enables atlas-based
mapping of extracted datasets – laser capture microdissection – is discussed in detail, with a view
of how this technology is a bridge between systems biology and systems neuroscience.
Keywords
- hypothalamus,
- proteomics,
- peptidomics,
- transcriptomics,
- laser capture,
- brain mapping
Disciplines
- Life Sciences,
- Molecular Biology,
- Bioinformatics,
- Biology,
- Biotechnology,
- Cell Biology,
- Laboratory and Basic Science Research,
- Neuroscience and Neurobiology,
- Computational Neuroscience,
- Developmental Neuroscience,
- Molecular and Cellular Neuroscience,
- Systems Neuroscience,
- Research Methods in Life Sciences and
- Animal Experimentation and Research
Publication Date
June 11, 2018
DOI
https://doi.org/10.1007/978-3-319-94593-4_6
Citation Information
Arshad M. Khan, Alice H Grant, Anais Martinez, Gully APC Burns, et al.. "Mapping molecular datasets back to the brain regions they are extracted from: Remembering the native countries of hypothalamic expatriates and refugees" Advances in Neurobiology Vol. 21 (2018) p. 101 - 193 Available at: http://works.bepress.com/arshad_m_khan/27/
Creative Commons license
This work is licensed under a Creative Commons CC_BY-NC International License.