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Recent advances in transcriptomic analysis have illuminated the significance of the MAV in understanding the complex physiological interactions at the interface between the skull and the brain after exposure to mechanical stress. To investigate how physiological responses may confer resilience against repetitive mechanical stress, we performed the first transcriptomic analysis of avian MAV tissues using the Downy Woodpecker (\n                    <jats:italic>Dryobates pubescens<\/jats:italic>\n                    ) and Tufted Titmouse (\n                    <jats:italic>Baeolophus bicolor<\/jats:italic>\n                    ) as the comparison species. Our findings reveal divergences in gene expression profiles related to immune response, cellular stress management, and protein translation machinery. The male woodpeckers exhibit a tailored immune modulation strategy that potentially dampens neuroinflammation while preserving protective immunity. Overrepresented genes involved in cellular stress responses suggest enhanced mechanisms for mitigating damage and promoting repair. Additionally, the enrichment of translation\u2010associated pathways hints at increased capacity for protein turnover and cellular remodeling vital for recovery. Our study not only fills a critical gap in avian neurobiology but also lays the groundwork for research in comparative neuroprotection.\n                  <\/jats:p>","DOI":"10.1002\/ar.25583","type":"journal-article","created":{"date-parts":[[2024,10,8]],"date-time":"2024-10-08T04:24:46Z","timestamp":1728361486000},"page":"1281-1298","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Comparative analysis of meningeal transcriptomes in birds: Potential pathways of resilience to repeated impacts"],"prefix":"10.1002","volume":"309","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6886-8437","authenticated-orcid":false,"given":"Abby E.","family":"Beatty","sequence":"first","affiliation":[{"name":"Department of Biology St. Mary's College of Maryland  St. Mary's City Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tara M.","family":"Barnes\u2010Tompkins","sequence":"additional","affiliation":[{"name":"Program in Neuroscience St. Mary's College of Maryland  St. Mary's City Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7614-3388","authenticated-orcid":false,"given":"Kira M.","family":"Long","sequence":"additional","affiliation":[{"name":"Program in Ecology, Evolution, and Conservation Biology University of Illinois Urbana\u2010Champaign  Urbana\u2010Champaign Illinois USA"},{"name":"Department of Fish and Wildlife Sciences University of Idaho  Moscow Idaho USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6381-3453","authenticated-orcid":false,"given":"Daniel J.","family":"Tobiansky","sequence":"additional","affiliation":[{"name":"Department of Biology St. Mary's College of Maryland  St. Mary's City Maryland USA"},{"name":"Program in Neuroscience St. Mary's College of Maryland  St. Mary's City Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,10,8]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tins.2023.08.004"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/jnr.24920"},{"key":"e_1_2_10_4_1","unstructured":"Andrews S.(2010).FastQC: A quality control tool for high throughput sequence data. 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