Department of Biology, College of Arts and Sciences, University of Virginia, Charlottesville, VA 22903, USA.
Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA.
Sci Adv. 2023 Jun 23;9(25):eadg0506. doi: 10.1126/sciadv.adg0506.
Gene activity defines cell identity, drives intercellular communication, and underlies the functioning of multicellular organisms. We present the single-cell resolution atlas of gene activity of a fertile adult metazoan: . This compendium comprises 180 distinct cell types and 19,657 expressed genes. We predict 7541 transcription factor expression profile associations likely responsible for defining cellular identity. We predict thousands of intercellular interactions across the body and the ligand-receptor pairs that mediate them, some of which we experimentally validate. We identify 172 genes that show consistent expression across cell types, are involved in basic and essential functions, and are conserved across phyla; therefore, we present them as experimentally validated housekeeping genes. We developed the WormSeq application to explore these data. In addition to the integrated gene-to-systems biology, we present genome-scale single-cell resolution testable hypotheses that we anticipate will advance our understanding of the molecular mechanisms, underlying the functioning of a multicellular organism and the perturbations that lead to its malfunction.
基因活性定义了细胞身份,驱动细胞间通讯,并构成多细胞生物的功能基础。我们呈现了一个可育成年后生动物的单细胞分辨率基因活性图谱:. 这个汇编包含 180 种不同的细胞类型和 19657 个表达基因。我们预测了 7541 个转录因子表达谱关联,这些关联可能负责定义细胞身份。我们预测了数千种细胞间相互作用,以及介导这些相互作用的配体-受体对,其中一些我们通过实验进行了验证。我们确定了 172 个在细胞类型中表现出一致表达的基因,这些基因参与基本和必需的功能,并在门之间保守;因此,我们将它们作为经过实验验证的管家基因呈现。我们开发了 WormSeq 应用程序来探索这些数据。除了集成的基因到系统生物学,我们还提出了基于基因组规模的单细胞分辨率的可测试假设,我们预计这些假设将促进我们对多细胞生物功能的分子机制及其导致功能障碍的扰动的理解。