Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Vocal learning-associated convergent evolution in mammalian regulatory elements and proteins

ABSTRACT: This represents the first transcriptomic and epigenomic characterization of the vocalization-associated brain circuits of a non-human mammalian vocal learner (Egyptian fruit bat), yielding fundamental insights into the regulatory and molecular pathways underlying the evolution of complex vocal behavior in mammals.

ORGANISM(S): Rousettus aegyptiacus

PROVIDER: GSE187366 | GEO | 2022/05/24

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcription in wounded rat vocal folds and vocal fold fibroblasts

Project description:We used microarrays to characterize transcriptome profiles of rat vocal fold tissue following surgical injury (vs. naive tissue); rat vocal fold fibroblasts harvested from scar tissue at the 60 d time point (vs. naive fibroblasts); rat vocal fold scar fibroblasts treated with siRNA against the collagen chaperone protein rat gp46 (vs. scramble siRNA). Adult Fischer 344 rat vocal fold tissue was harvested at 3, 14, and 60 days following surgical injury (control = age-matched naive tissue); rat vocal fold scar fibroblasts were obtained via explant culture of tissue obtained 60 days following surgical injury and harvested at 80% confluence during passage 1 (control = age-matched naive rat vocal fold fibroblasts); rat vocal fold scar fibroblasts were treated for 1 h with 50 nM liposome-delivered siRNA against rat gp46 when 80% confluent at passage 1, cultured for an additional 24 h in fresh media, then harvested (control = rat vocal fold scar fibroblasts treated with 50 nM liposome-delivered scramble siRNA).

2014-10-09 | E-GEOD-62204 | biostudies-arrayexpress

Functional Identification of Specialized Basal Ganglia Circuits that Regulate Vocal Motor Sequences

Project description:Production of learned vocalizations requires precise selection and accurate sequencing of appropriate vocal-motor actions. The basal ganglia are essential for the selection and sequencing of motor actions, but the cellular specializations and circuit mechanisms governing accurate sequencing of vocalizations are unknown. Here, we use single-nucleus RNA sequencing and genetic manipulations to map basal ganglia cell types and circuits involved in the production of songbird vocal sequences. We identify cell-type specializations in direct-like and indirect-like basal ganglia pathways, including evolutionary expansion of striatal and arkypallidal cell-types that could facilitate vocal sequencing. We also reversibly reduced the expression of FoxP2 with a viral knockdown. For birds in which FoxP2 was knocked down, striatal neurons exhibited decreased expression of Drd1 and showed an increased ratio of Drd2/Drd1 expression. These findings identify key evolutionary specializations and circuits essential for selection and sequencing of vocal-motor actions necessary for vocal communication.

2021-05-19 | GSE136086 | GEO

Cell type specializations of the vocal-motor cortex in songbirds

Project description:The identification of molecular specializations in cortical circuitry supporting complex behaviors, such as learned vocalizations, requires understanding the neuroanatomical context from which these circuits arise. In songbirds, the robust nucleus of the arcopallium (RA) provides the sole descending projection for fine motor control of vocalizations. Using single nuclei transcriptomics and spatial gene expression mapping in zebra finches, we were able to define cell types and molecular specializations that distinguish RA from adjacent regions involved in non-vocal motor and sensory processing. We describe an RA-specific vocal projection neuron, differential composition of inhibitory neuron subtypes, and unique glial specializations. We show how several cell-specific molecular features arise in a sex-dependent manner during development. Based on the molecular data, we were also able to electrophysiologically probe, for the first time, predicted GABAergic subtypes within RA. To facilitate future utilization of the data, we have developed interactive apps that allow integration of cell level molecular data with developmental and spatial distribution data from our gene expression brain atlas (ZEBrA). With this resource, users can explore molecular specializations of vocal-motor neurons and support cells that likely reflect adaptations key to the physiology and evolution of vocal control circuits.

2023-06-10 | GSE233643 | GEO

Vocal learning-associated convergent evolution in mammalian regulatory elements and proteins

Project description:Vocal learning-associated convergent evolution in mammalian regulatory elements and proteins

| PRJNA777475 | ENA

Transcription in wounded rat vocal folds and vocal fold fibroblasts

2014-10-09 | GSE62204 | GEO

Expression data from rat vocal fold at different periods after vocal fold injury

Project description:Vocal cord healing is a dynamic process, and many genes and proteins are involved, which play varying roles at different regeneration stages after injury. Previous studies have shown that inflammatory responses occur at the early stage of vocal cord injury, where the fibroblasts proliferate exuberantly with intensive secretion and deposition of ECM. These activities reach the peak at 3-7 days and their intensity begins to decline 15 days later. A study based on the dermal system has shown that ECM remodeling during the repair of injury can last for several months. However, few studies have been conducted as to the dynamic changes of gene expressions and signaling pathway during the healing process of vocal cord injury. Plotting these changes will facilitate the understanding about the physiological changes during healing and the identification of key time points and target genes in fibrosis formation.

2019-10-26 | GSE139383 | GEO

Expression data from rat vocal fold at different periods after vocal fold injury (miRNA)

Project description:Vocal cord healing is a dynamic process, and many genes and proteins are involved, which play varying roles at different regeneration stages after injury. Previous studies have shown that inflammatory responses occur at the early stage of vocal cord injury, where the fibroblasts proliferate exuberantly with intensive secretion and deposition of ECM. These activities reach the peak at 3-7 days and their intensity begins to decline 15 days later. A study based on the dermal system has shown that ECM remodeling during the repair of injury can last for several months. However, few studies have been conducted as to the dynamic changes of gene and microRNA expressions during the healing process of vocal cord injury. Plotting these changes will facilitate the understanding about the physiological changes during healing and the identification of key time points and target genes and microRNAs in fibrosis formation.

2020-03-25 | GSE147473 | GEO

Functional Identification of Specialized Basal Ganglia Circuits that Regulate Vocal Motor Sequences

Project description:Functional Identification of Specialized Basal Ganglia Circuits that Regulate Vocal Motor Sequences

| PRJNA561195 | ENA

Rousettus aegyptiacus isolate:mRouAeg1

Project description:Rousettus aegyptiacus (Egyptian fruit bat) Genome sequencing, assembly and annotation

| PRJNA628585 | ENA

Project description:Rousettus aegyptiacus (Egyptian fruit bat) Genome sequencing, assembly and annotation

| PRJNA674394 | ENA