Vocal learning-associated convergent evolution in mammalian regulatory elements and proteins
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA777475 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16761600_1.fastq.gz | Fastqsanger.gz | |||
| SRR16761600_2.fastq.gz | Fastqsanger.gz | |||
| SRR16761601_1.fastq.gz | Fastqsanger.gz | |||
| SRR16761601_2.fastq.gz | Fastqsanger.gz | |||
| SRR16761602_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 264 |
Similar Datasets
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: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: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 bird group. All of the animals are adult males. 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 use arcopallium song nucleus for vocal learners and intermediate arcopallium for non-vocal learners. We used surrounding arcopallium as control area for both groups.
2011-11-30 | E-GEOD-28395 | 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: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
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
Project description:BACKGROUND: Evolutionary relations of similar segments shared by different protein folds remain controversial, even though many examples of such segments have been found. To date, several methods such as those based on the results of structure comparisons, sequence-based classifications, and sequence-based profile-profile comparisons have been applied to identify such protein segments that possess local similarities in both sequence and structure across protein folds. However, to capture more precise sequence-structure relations, no method reported to date combines structure-based profiles, and sequence-based profiles based on evolutionary information. The former are generally regarded as representing the amino acid preferences at each position of a specific conformation of protein segment. They might reflect the nature of ancient short peptide ancestors, using the results of structural classifications of protein segments. RESULTS: This report describes the development and use of "Cross Profile Analysis" to compare sequence-based profiles and structure-based profiles based on amino acid occurrences at each position within a protein segment cluster. Using systematic cross profile analysis, we found structural clusters of 9-residue and 15-residue segments showing remarkably strong correlation with particular sequence profiles. These correlations reflect structural similarities among constituent segments of both sequence-based and structure-based profiles. We also report previously undetectable sequence-structure patterns that transcend protein family and fold boundaries, and present results of the conformational analysis of the deduced peptide of a segment cluster. These results suggest the existence of ancient short-peptide ancestors. CONCLUSIONS: Cross profile analysis reveals the polyphyletic and convergent evolution of ?-hairpin-like structures, which were verified both experimentally and computationally. The results presented here give us new insights into the evolution of short protein segments.
| S-EPMC3398312 | biostudies-literature
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
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