ArticleProceedings of the National Academy of Sciences of the United States of America2007
Genomic resources for songbird research and their use in characterizing gene expression during brain development.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed.
- Article
- Dynamic transcriptome landscape in the song nucleus HVC between juvenile and adult zebra finches.Advanced genetics (Hoboken, N.J.) · 2021Article
- ZEBrA: Zebra finch Expression Brain Atlas-A resource for comparative molecular neuroanatomy and brain evolution studies.The Journal of comparative neurology · 2020Article
- Curation of microarray oligonucleotides and corresponding ESTs/cDNAs used for gene expression analysis in zebra finches.BMC research notes · 2018Article
- The constitutive differential transcriptome of a brain circuit for vocal learning.BMC genomics · 2018Article
- Dynamic gene expression in the song system of zebra finches during the song learning period.Developmental neurobiology · 2015Article
- A blueprint for vocal learning: auditory predispositions from brains to genomes.Biology letters · 2015Review
- The effect of music performance on the transcriptome of professional musicians.Scientific reports · 2015Article
- The opportunities and challenges of large-scale molecular approaches to songbird neurobiology.Neuroscience and biobehavioral reviews · 2015Review
- Using the canary genome to decipher the evolution of hormone-sensitive gene regulation in seasonal singing birds.Genome biology · 2015Article
- Audition-independent vocal crystallization associated with intrinsic developmental gene expression dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Article
- Core and region-enriched networks of behaviorally regulated genes and the singing genome.Science (New York, N.Y.) · 2014Article
- The zebra finch, Taeniopygia guttata: an avian model for investigating the neurobiological basis of vocal learning.Cold Spring Harbor protocols · 2014Review
- Functional genomic analysis and neuroanatomical localization of miR-2954, a song-responsive sex-linked microRNA in the zebra finch.Frontiers in neuroscience · 2014Article
- Digital atlas of the zebra finch (Taeniopygia guttata) brain: a high-resolution photo atlas.The Journal of comparative neurology · 2013Article
- Global view of the functional molecular organization of the avian cerebrum: mirror images and functional columns.The Journal of comparative neurology · 2013Article
- miR-9 and miR-140-5p target FoxP2 and are regulated as a function of the social context of singing behavior in zebra finches.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Genome-wide annotation and analysis of zebra finch microRNA repertoire reveal sex-biased expression.BMC genomics · 2012Article
- High throughput analysis reveals dissociable gene expression profiles in two independent neural systems involved in the regulation of social behavior.BMC neuroscience · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Vocal learning and neuronal replacement have been studied extensively in songbirds, but until recently, few molecular and genomic tools for songbird research existed. Here we describe new molecular/genomic resources developed in our laboratory. We made cDNA libraries from zebra finch (Taeniopygia guttata) brains at different developmental stages. A total of 11,000 cDNA clones from these libraries, representing 5,866 unique gene transcripts, were randomly picked and sequenced from the 3' ends. A web-based database was established for clone tracking, sequence analysis, and functional annotations. Our cDNA libraries were not normalized. Sequencing ESTs without normalization produced many developmental stage-specific sequences, yielding insights into patterns of gene expression at different stages of brain development. In particular, the cDNA library made from brains at posthatching day 30-50, corresponding to the period of rapid song system development and song learning, has the most diverse and richest set of genes expressed. We also identified five microRNAs whose sequences are highly conserved between zebra finch and other species. We printed cDNA microarrays and profiled gene expression in the high vocal center of both adult male zebra finches and canaries (Serinus canaria). Genes differentially expressed in the high vocal center were identified from the microarray hybridization results. Selected genes were validated by in situ hybridization. Networks among the regulated genes were also identified. These resources provide songbird biologists with tools for genome annotation, comparative genomics, and microarray gene expression analysis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.