Functional Identification of Specialized Basal Ganglia Circuits that Regulate Vocal Motor Sequences
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA561195 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10007864_1.fastq.gz | Fastqsanger.gz | |||
| SRR10007864_2.fastq.gz | Fastqsanger.gz | |||
| SRR10007865_1.fastq.gz | Fastqsanger.gz | |||
| SRR10007865_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 4 of 4 |
Similar Datasets
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
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
Project description:Similarities between speech and birdsong make songbirds advantageous for investigating the neurogenetics of learned vocal communication; a complex phenotype likely supported by ensembles of interacting genes in cortico-basal ganglia pathways of both species. To date, only FoxP2 has been identified as critical to both speech and birdsong. We performed weighted gene co-expression network analysis on microarray data from singing zebra finches to discover gene ensembles regulated during vocal behavior. We found ~2,000 singing- regulated genes comprising 3 co-expression groups unique to area X, the basal ganglia subregion dedicated to learned vocal-motor behavior. These contained known targets of human FOXP2 and potential avian targets. We validated novel biological pathways for vocalization. Our findings show that higher-order gene co-expression patterns, rather than expression levels, molecularly distinguish area X from the ventral striato-pallidum during singing. The previously unknown structure of singing-driven networks enables prioritization of molecular interactors that likely bear on human motor disorders, especially those affecting speech. Gene expression was measured in 2 basal ganglia sub-regions (area X & ventral striato-pallidum (VSP)) of 27 adult male zebra finches that sang different amounts of song over a 2hr period in the morning. 18 birds were allowed to sing freely, 9 birds were discouraged from singing by the presence of an investigator and those that sang fewer than 10 song motifs were considered “non-singers”.
2012-01-04 | E-GEOD-34819 | biostudies-arrayexpress
Project description:To determine what kind of genes are involved in vocal learning ability, we performed microarray experiments using 3 vocal learning species (zebra finch, budgerigar, Anna's hummingbird) and 2 non-vocal learning species(ring dive, and Japanese quail) from the bird group. All of the animals are male adults. They were isolated over night and had 1hour light exposure at morning. Birds who did not sing were used in this experiment. We used 2-3 animals each species. We used the 12th motor neuron for both vocal learners and non-vocal learners. We used the Supra Spinal motor neuron (ssp) as control area for both groups.
2012-05-30 | E-GEOD-33667 | biostudies-arrayexpress
Project description:Similarities between speech and birdsong make songbirds advantageous for investigating the neurogenetics of learned vocal communication; a complex phenotype likely supported by ensembles of interacting genes in cortico-basal ganglia pathways of both species. To date, only FoxP2 has been identified as critical to both speech and birdsong. We performed weighted gene co-expression network analysis on microarray data from singing zebra finches to discover gene ensembles regulated during vocal behavior. We found ~2,000 singing- regulated genes comprising 3 co-expression groups unique to area X, the basal ganglia subregion dedicated to learned vocal-motor behavior. These contained known targets of human FOXP2 and potential avian targets. We validated novel biological pathways for vocalization. Our findings show that higher-order gene co-expression patterns, rather than expression levels, molecularly distinguish area X from the ventral striato-pallidum during singing. The previously unknown structure of singing-driven networks enables prioritization of molecular interactors that likely bear on human motor disorders, especially those affecting speech.
2012-01-04 | GSE34819 | GEO
Project description: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.
2022-05-24 | GSE187366 | GEO
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
Project description:Cell type specializations of the vocal-motor cortex in songbirds
| PRJNA977217 | ENA
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).
2014-10-09 | GSE62204 | GEO
Project description:Like human speech, birdsong is a complex vocal behavior that is acquired by sensorimotor learning based on coordination of auditory input and vocal output to mimic memorized tutor song. Here we investigate neural circuits for vocal learning and production in deafened songbirds to elucidate how sensory-input regulate genetic and epigenetic property of vocal development and its associated gene expression dynamics. Compared with audition-intact birds, in deafened zebra finches, the vocal development is delayed but song crystallization is observed at more than three times later, producing individually different but structured vocal patterns. In contrast to the distinct difference of vocal ontogeny between audition (+) and (-), unexpectedly, developmental regulation of gene expression dynamics is strictly conserved with age-locked trend in vocal motor circuit in both intact and deafened birds, indicating sensory-input independent robustness of developmental gene expression dynamics in the motor circuit for sensorimotor learning. This discrepancy between outward vocal phenotype and inward gene expression dynamics provides new insight into neural regulation at closing of the critical period for vocal learning by two different forms: auditory inputs-dependent M-bM-^@M-^XactiveM-bM-^@M-^Y crystallization and gene expression dynamics-mediated M-bM-^@M-^XpassiveM-bM-^@M-^Y crystallization. We collected brain samples from intact and early-deafened birds (deafened at day-post hatch 17-23) under silent and dark condition. Song nuclei in vocal motor circuit, HVC and RA tissue samples (juvenile; n = 3, young; n = 3, old; n = 3 of intact and early-deafened birds for HVC and RA) were laser-microdissected from total 24 birds (intact; n = 12, early-deafened; n = 12). Each sample was hybridized to a single array, totaling 36 arrays. Birds were selected per slide such that early-deafened birds were paired with intact birds. To minimize possible interslide bias or batch effects, intact and early-deafened bird samples matching with brain area and age conditions were hybridized side by side on same array glass.
2014-03-21 | E-GEOD-56075 | biostudies-arrayexpress