scispace - formally typeset
P

Prabhakara V. Choudary

Researcher at University of California, Davis

Publications -  66
Citations -  5738

Prabhakara V. Choudary is an academic researcher from University of California, Davis. The author has contributed to research in topics: Gene & Gene expression. The author has an hindex of 35, co-authored 66 publications receiving 5466 citations. Previous affiliations of Prabhakara V. Choudary include Stanford University & University of California.

Papers
More filters
Journal ArticleDOI

Altered cortical glutamatergic and GABAergic signal transmission with glial involvement in depression

TL;DR: The astroglial distribution of the two glutamate transporters and l-glutamate-ammonia ligase strongly links glia to the pathophysiology of depression and challenges the conventional notion that depression is solely a neuronal disorder.
Journal ArticleDOI

Ubiquitous, interspersed repeated sequences in mammalian genomes

TL;DR: It is demonstrated that a portion of this highly conserved segment of repetitive mamalian DNA sequence is similar to a sequence found within a low molecular weight RNA that hydrogen-bonds to poly(A)-terminated RNA molecules of Chinese hamsters and a sequence that forms half of a perfect inverted repeat near the origin of DNA replication in papovaviruses.
Journal ArticleDOI

Dysregulation of the fibroblast growth factor system in major depression

TL;DR: Findings that imply dysregulation of several fibroblast growth factor (FGF) system transcripts in frontal cortical regions of brains from human subjects with major depressive disorder (MDD) are described and all of the other growth factors and growth factor receptors detected in these postmortem samples are made available.
Journal ArticleDOI

Effect of agonal and postmortem factors on gene expression profile: quality control in microarray analyses of postmortem human brain.

TL;DR: It is reported that agonal factors significantly affect RNA integrity and have a major impact on gene expression profiles in microarrays, and the Average Correlation Index is proposed as a method for evaluating RNA integrity on the basis of similarity of microarray profiles.