{"title":"转录调控的比较基因组学和表观基因组学。","authors":"Huaijun Zhou, Emily Clark, Dailu Guan, Sandrine Lagarrigue, Lingzhao Fang, Hao Cheng, Christopher K Tuggle, Muskan Kapoor, Ying Wang, Elisabetta Giuffra, Giorgia Egidy","doi":"10.1146/annurev-animal-111523-102217","DOIUrl":null,"url":null,"abstract":"<p><p>Transcriptional regulation in response to diverse physiological cues involves complicated biological processes. Recent initiatives that leverage whole genome sequencing and annotation of regulatory elements significantly contribute to our understanding of transcriptional gene regulation. Advances in the data sets available for comparative genomics and epigenomics can identify evolutionarily constrained regulatory variants and shed light on noncoding elements that influence transcription in different tissues and developmental stages across species. Most epigenomic data, however, are generated from healthy subjects at specific developmental stages. To bridge the genotype-phenotype gap, future research should focus on generating multidimensional epigenomic data under diverse physiological conditions. Farm animal species offer advantages in terms of feasibility, cost, and experimental design for such integrative analyses in comparison to humans. Deep learning modeling and cutting-edge technologies in sequencing and functional screening and validation also provide great promise for better understanding transcriptional regulation in this dynamic field.</p>","PeriodicalId":48953,"journal":{"name":"Annual Review of Animal Biosciences","volume":" ","pages":""},"PeriodicalIF":8.7000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Genomics and Epigenomics of Transcriptional Regulation.\",\"authors\":\"Huaijun Zhou, Emily Clark, Dailu Guan, Sandrine Lagarrigue, Lingzhao Fang, Hao Cheng, Christopher K Tuggle, Muskan Kapoor, Ying Wang, Elisabetta Giuffra, Giorgia Egidy\",\"doi\":\"10.1146/annurev-animal-111523-102217\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Transcriptional regulation in response to diverse physiological cues involves complicated biological processes. Recent initiatives that leverage whole genome sequencing and annotation of regulatory elements significantly contribute to our understanding of transcriptional gene regulation. Advances in the data sets available for comparative genomics and epigenomics can identify evolutionarily constrained regulatory variants and shed light on noncoding elements that influence transcription in different tissues and developmental stages across species. Most epigenomic data, however, are generated from healthy subjects at specific developmental stages. To bridge the genotype-phenotype gap, future research should focus on generating multidimensional epigenomic data under diverse physiological conditions. Farm animal species offer advantages in terms of feasibility, cost, and experimental design for such integrative analyses in comparison to humans. Deep learning modeling and cutting-edge technologies in sequencing and functional screening and validation also provide great promise for better understanding transcriptional regulation in this dynamic field.</p>\",\"PeriodicalId\":48953,\"journal\":{\"name\":\"Annual Review of Animal Biosciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":8.7000,\"publicationDate\":\"2024-11-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Review of Animal Biosciences\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1146/annurev-animal-111523-102217\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, DAIRY & ANIMAL SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Review of Animal Biosciences","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1146/annurev-animal-111523-102217","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
Comparative Genomics and Epigenomics of Transcriptional Regulation.
Transcriptional regulation in response to diverse physiological cues involves complicated biological processes. Recent initiatives that leverage whole genome sequencing and annotation of regulatory elements significantly contribute to our understanding of transcriptional gene regulation. Advances in the data sets available for comparative genomics and epigenomics can identify evolutionarily constrained regulatory variants and shed light on noncoding elements that influence transcription in different tissues and developmental stages across species. Most epigenomic data, however, are generated from healthy subjects at specific developmental stages. To bridge the genotype-phenotype gap, future research should focus on generating multidimensional epigenomic data under diverse physiological conditions. Farm animal species offer advantages in terms of feasibility, cost, and experimental design for such integrative analyses in comparison to humans. Deep learning modeling and cutting-edge technologies in sequencing and functional screening and validation also provide great promise for better understanding transcriptional regulation in this dynamic field.
期刊介绍:
The Annual Review of Animal Biosciences is primarily dedicated to the fields of biotechnology, genetics, genomics, and breeding, with a special focus on veterinary medicine. This includes veterinary pathobiology, infectious diseases and vaccine development, and conservation and zoo biology. The publication aims to address the needs of scientists studying both wild and domesticated animal species, veterinarians, conservation biologists, and geneticists.