Miloš Nikolić, Victoria Antonetti, Feng Liu, Gentian Muhaxheri, Mariela D. Petkova, Martin Scheeler, Eric M. Smith, William Bialek, Thomas Gregor
{"title":"早期胚胎发育的规模不变性","authors":"Miloš Nikolić, Victoria Antonetti, Feng Liu, Gentian Muhaxheri, Mariela D. Petkova, Martin Scheeler, Eric M. Smith, William Bialek, Thomas Gregor","doi":"arxiv-2312.17684","DOIUrl":null,"url":null,"abstract":"The body plan of the fruit fly is determined by the expression of just a\nhandful of genes. We show that the spatial patterns of expression for several\nof these genes scale precisely with the size of the embryo. Concretely,\ndiscrete positional markers such as the peaks in striped patterns have absolute\npositions along the anterior-posterior axis that are proportional to embryo\nlength, with better than 1% accuracy. Further, the information (in bits) that\ngraded patterns of expression provide about position can be decomposed into\ninformation about fractional or scaled position and information about absolute\nposition or embryo length; all of the available information is about scaled\nposition, again with ~1% accuracy. These observations suggest that the\nunderlying genetic network exhibits scale invariance in a deeper mathematical\nsense. Taking this mathematical statement seriously requires that the network\ndynamics have a zero mode, which connects to many other observations on this\nsystem.","PeriodicalId":501325,"journal":{"name":"arXiv - QuanBio - Molecular Networks","volume":"22 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Scale invariance in early embryonic development\",\"authors\":\"Miloš Nikolić, Victoria Antonetti, Feng Liu, Gentian Muhaxheri, Mariela D. Petkova, Martin Scheeler, Eric M. Smith, William Bialek, Thomas Gregor\",\"doi\":\"arxiv-2312.17684\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The body plan of the fruit fly is determined by the expression of just a\\nhandful of genes. We show that the spatial patterns of expression for several\\nof these genes scale precisely with the size of the embryo. Concretely,\\ndiscrete positional markers such as the peaks in striped patterns have absolute\\npositions along the anterior-posterior axis that are proportional to embryo\\nlength, with better than 1% accuracy. Further, the information (in bits) that\\ngraded patterns of expression provide about position can be decomposed into\\ninformation about fractional or scaled position and information about absolute\\nposition or embryo length; all of the available information is about scaled\\nposition, again with ~1% accuracy. These observations suggest that the\\nunderlying genetic network exhibits scale invariance in a deeper mathematical\\nsense. Taking this mathematical statement seriously requires that the network\\ndynamics have a zero mode, which connects to many other observations on this\\nsystem.\",\"PeriodicalId\":501325,\"journal\":{\"name\":\"arXiv - QuanBio - Molecular Networks\",\"volume\":\"22 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Molecular Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2312.17684\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Molecular Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2312.17684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The body plan of the fruit fly is determined by the expression of just a
handful of genes. We show that the spatial patterns of expression for several
of these genes scale precisely with the size of the embryo. Concretely,
discrete positional markers such as the peaks in striped patterns have absolute
positions along the anterior-posterior axis that are proportional to embryo
length, with better than 1% accuracy. Further, the information (in bits) that
graded patterns of expression provide about position can be decomposed into
information about fractional or scaled position and information about absolute
position or embryo length; all of the available information is about scaled
position, again with ~1% accuracy. These observations suggest that the
underlying genetic network exhibits scale invariance in a deeper mathematical
sense. Taking this mathematical statement seriously requires that the network
dynamics have a zero mode, which connects to many other observations on this
system.