Back to Search
Start Over
Human brain transcriptome analysis finds region- and subject-specific expression signatures of GABAAR subunits
- Source :
- Communications Biology, Vol 2, Iss 1, Pp 1-14 (2019)
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Altered expression of GABA receptors (GABAARs) has been implicated in neurological and psychiatric disorders, but limited information about region-specific GABAAR subunit expression in healthy human brains, heteromeric assembly of major isoforms, and their collective organization across healthy individuals, are major roadblocks to understanding their role in non-physiological states. Here, by using microarray and RNA-Seq datasets—from single cell nuclei to global brain expression—from the Allen Institute, we find that transcriptional expression of GABAAR subunits is anatomically organized according to their neurodevelopmental origin. The data show a combination of complementary and mutually-exclusive expression patterns that delineate major isoforms, and which is highly stereotypical across brains from control donors. We summarize the region-specific signature of GABAR subunits per subject and its variability in a control population sample that can be used as a reference for remodeling changes during homeostatic rearrangements of GABAAR subunits after physiological, pharmacological or pathological challenges.
- Subjects :
- Gene isoform
0303 health sciences
Microarray
GABAA receptor
Protein subunit
Cell
Medicine (miscellaneous)
Human brain
Biology
General Biochemistry, Genetics and Molecular Biology
Transcriptome
03 medical and health sciences
0302 clinical medicine
medicine.anatomical_structure
lcsh:Biology (General)
medicine
DNA microarray
General Agricultural and Biological Sciences
lcsh:QH301-705.5
Neuroscience
030217 neurology & neurosurgery
030304 developmental biology
Subjects
Details
- ISSN :
- 23993642
- Volume :
- 2
- Database :
- OpenAIRE
- Journal :
- Communications Biology
- Accession number :
- edsair.doi.dedup.....720dc95c8743862b0b2d26fcc6921e1e