In search of a Drosophila core cellular network with single-cell transcriptome data.
In search of a Drosophila core cellular network with single-cell transcriptome data.
复制标题
DOI:
10.1093/g3journal/jkac212
复制
发表时间:
2022-09-30
期刊:
影响因子:
--
通讯作者:
Promislow DEL
中科院分区:
文献类型:
--
作者:
Yang M;Harrison BR;Promislow DEL
Along with specialized functions, cells of multicellular organisms also perform essential functions common to most if not all cells. Whether diverse cells do this by using the same set of genes, interacting in a fixed coordinated fashion to execute essential functions, or a subset of genes specific to certain cells, remains a central question in biology. Here, we focus on gene coexpression to search for a core cellular network across a whole organism. Single-cell RNA-sequencing measures gene expression of individual cells, enabling researchers to discover gene expression patterns that contribute to the diversity of cell functions. Current efforts to study cellular functions focus primarily on identifying differentially expressed genes across cells. However, patterns of coexpression between genes are probably more indicative of biological processes than are the expression of individual genes. We constructed cell-type-specific gene coexpression networks using single-cell transcriptome datasets covering diverse cell types from the fruit fly, Drosophila melanogaster. We detected a set of highly coordinated genes preserved across cell types and present this as the best estimate of a core cellular network. This core is very small compared with cell-type-specific gene coexpression networks and shows dense connectivity. Gene members of this core tend to be ancient genes and are enriched for those encoding ribosomal proteins. Overall, we find evidence for a core cellular network in diverse cell types of the fruit fly. The topological, structural, functional, and evolutionary properties of this core indicate that it accounts for only a minority of essential functions.
登录
查看更多内容
影响因子:
14.9
作者:
Crow, Megan;Suresh, Hamsini;Lee, John;Gillis, Jesse
通讯作者:
Gillis, Jesse
影响因子:
12.8
作者:
Cha J;Lee I
通讯作者:
Lee I
影响因子:
64.5
作者:
Davie K;Janssens J;Koldere D;De Waegeneer M;Pech U;Kreft Ł;Aibar S;Makhzami S;Christiaens V;Bravo González-Blas C;Poovathingal S;Hulselmans G;Spanier KI;Moerman T;Vanspauwen B;Geurs S;Voet T;Lammertyn J;Thienpont B;Liu S;Konstantinides N;Fiers M;Verstreken P;Aerts S
通讯作者:
Aerts S
影响因子:
3
作者:
Chen S;Mar JC
通讯作者:
Mar JC
影响因子:
10.7
作者:
Domazet-Lošo T;Carvunis AR;Albà MM;Šestak MS;Bakaric R;Neme R;Tautz D
通讯作者:
Tautz D