Single-cell RNA-seq quantifies biological heterogeneity across both discrete cell types and continuous cell transitions. Partition-based graph abstraction (PAGA) provides an interpretable graph-like map of the arising data manifold, based on estimating connectivity of manifold partitions ( https://github.com/theislab/paga ). PAGA maps preserve the global topology of data, allow analyzing data at different resolutions, and result in much higher computational efficiency of the typical exploratory data analysis workflow. We demonstrate the method by inferring structure-rich cell maps with consistent topology across four hematopoietic datasets, adult planaria and the zebrafish embryo and benchmark computational performance on one million neurons.

Cutting out circular RNAs: Circular RNAs are widespread, but their functions have been controversial. Piwecka et al. used CRISPR-Cas9 technology to remove the locus encoding the circular RNA Cdr1as from the mouse genome. Single-cell electrophysiological measurements in excitatory neurons revealed an increase in spontaneous vesicle release from the knockout mice and depression in the synaptic response with two consecutive stimuli, indicating that Cdr1as deficiency leads to dysfunction of excitatory synaptic transmission. Small RNA sequencing of several major regions of the brain showed that expression of two microRNAs, miR-7 and miR-671, that bind to Cdr1as decreased and increased, respectively. These results, along with expression analyses, suggest that neuronal Cdr1as stabilizes or transports miR-7, which in turn represses genes that are early responders to different stimuli. Science , this issue p. eaam8526

Mapping the planarian transcriptome: A cell type's transcriptome defines the active genes that control its biology. Two groups used single-cell RNA sequencing to define the transcriptomes for essentially all cell types of a complete animal, the regenerative planarianSchmidtea mediterranea.Because pluripotent stem cells constantly differentiate to rejuvenate any part of the body of this species, all developmental lineages are active in adult animals. Fincheret al.determined the transcriptomes for most, if not all, planarian cell types, including some that were previously unknown. They also identified transition states and genes governing positional information. Plasset al.used single-cell transcriptomics and computational algorithms to reconstruct a lineage tree capturing the developmental progressions from stem to differentiated cells. They could then predict gene programs that are specifically turned on and off along the tree, and they used this approach to study how the cell types behaved during regeneration. These whole-animal transcriptome “atlases” are a powerful way to study metazoan biology.Science, this issue p.eaaq1736, p.eaaq1723

The Drosha–DGCR8, or Microprocessor, complex, is required for microRNA biogenesis. DGCR8 recognizes the RNA substrates, whereas Drosha functions as an endonuclease. High-throughput sequencing and cross-linking immunoprecipitation (HITS-CLIP) analyses reveal many other RNA targets of DGCR8 besides microRNAs, including snoRNAs, which are processed in a Drosha-independent manner, as well as long noncoding RNAs and mRNAs of protein-coding genes. The Drosha–DGCR8 complex (Microprocessor) is required for microRNA (miRNA) biogenesis. DGCR8 recognizes the RNA substrate, whereas Drosha functions as the endonuclease. Using high-throughput sequencing and cross-linking immunoprecipitation (HITS-CLIP) we identified RNA targets of DGCR8 in human cells. Unexpectedly, miRNAs were not the most abundant targets. DGCR8-bound RNAs also comprised several hundred mRNAs as well as small nucleolar RNAs (snoRNAs) and long noncoding RNAs. We found that the Microprocessor controlled the abundance of several mRNAs as well as of MALAT1. By contrast, DGCR8-mediated cleavage of snoRNAs was independent of Drosha, suggesting the involvement of DGCR8 in cellular complexes with other endonucleases. Binding of DGCR8 to cassette exons is a new mechanism for regulation of the relative abundance of alternatively spliced isoforms. These data provide insights in the complex role of DGCR8 in controlling the fate of several classes of RNAs.

How the activity of transposable elements is regulated is not well understood. A new study now shows that the Microprocessor complex, which is required for microRNA biogenesis, also recognizes and binds RNAs derived from human LINE-1, Alu and SVA retrotransposons and that it acts as a post-transcriptional repressor of mammalian retrotransposons in vivo. More than half of the human genome is made of transposable elements whose ongoing mobilization is a driving force in genetic diversity; however, little is known about how the host regulates their activity. Here, we show that the Microprocessor (Drosha-DGCR8), which is required for microRNA biogenesis, also recognizes and binds RNAs derived from human long interspersed element 1 (LINE-1), Alu and SVA retrotransposons. Expression analyses demonstrate that cells lacking a functional Microprocessor accumulate LINE-1 mRNA and encoded proteins. Furthermore, we show that structured regions of the LINE-1 mRNA can be cleaved in vitro by Drosha. Additionally, we used a cell culture–based assay to show that the Microprocessor negatively regulates LINE-1 and Alu retrotransposition in vivo. Altogether, these data reveal a new role for the Microprocessor as a post-transcriptional repressor of mammalian retrotransposons and a defender of human genome integrity.