ABSTRACT
Simple repeated sequences (SRSs), defined as tandem iterations of microsatellite- to satellite-sized DNA units, occupy a substantial part of the human genome. Some of these elements are known to be transcribed in the context of repeat expansion disorders. Mounting evidence suggests that the transcription of SRSs may also contribute to normal cellular functions. Here, we used genome-wide bioinformatics approaches to systematically examine SRS transcriptional activity in cells undergoing neuronal differentiation. We identified thousands of long noncoding RNAs containing >200-nucleotide-long SRSs (SRS-lncRNAs), with hundreds of these transcripts significantly upregulated in the neural lineage. We show that SRS-lncRNAs often originate from telomere-proximal regions and that they have a strong potential to form multivalent contacts with a wide range of RNA-binding proteins. Our analyses also uncovered a cluster of neurally upregulated SRS-lncRNAs encoded in a centromere-proximal part of chromosome 9, which underwent an evolutionarily recent segmental duplication. Using a newly established in vitro system for rapid neuronal differentiation of induced pluripotent stem cells, we demonstrate that at least some of the bioinformatically predicted SRS-lncRNAs, including those encoded in the segmentally duplicated part of chromosome 9, indeed increase their expression in developing neurons to readily detectable levels. These and other lines of evidence suggest that many SRSs may be expressed in a cell type and developmental stage-specific manner, providing a valuable resource for further studies focused on the functional consequences of SRS-lncRNAs in the normal development of the human brain, as well as in the context of neurodevelopmental disorders.
Subject(s)
Cell Differentiation , Induced Pluripotent Stem Cells , Neurons , RNA, Long Noncoding , Humans , Neurons/metabolism , RNA, Long Noncoding/genetics , Cell Differentiation/genetics , Induced Pluripotent Stem Cells/metabolism , Induced Pluripotent Stem Cells/cytology , Repetitive Sequences, Nucleic Acid , Transcription, Genetic , Gene Expression Regulation, Developmental , Genome, Human , Neurogenesis/genetics , Microsatellite Repeats , Computational Biology/methodsABSTRACT
This protocol describes a hybridization-proximity labeling (HyPro) approach for identification of proteins and RNAs co-localizing with a transcript of interest in genetically unperturbed cells. It outlines steps required for purification of a recombinant HyPro enzyme, hybridization of fixed and permeabilized cells with digoxigenin-labeled probes, HyPro enzyme binding, proximity biotinylation, and downstream analyses of the biotinylated products. Although the protocol is optimized for relatively abundant noncoding transcripts, recommendations are provided for improving the signal-to-noise ratio in case of scarcer RNA "baits." For complete details on the use and execution of this protocol, please refer to Yap et al. (2021).
Subject(s)
RNA , Biotinylation , Cell Line , Cells, Cultured , Digoxigenin , Humans , RNA/geneticsABSTRACT
The ability of RNAs to form specific contacts with other macromolecules provides an important mechanism for subcellular compartmentalization. Here we describe a suite of hybridization-proximity (HyPro) labeling technologies for unbiased discovery of proteins (HyPro-MS) and transcripts (HyPro-seq) associated with RNAs of interest in genetically unperturbed cells. As a proof of principle, we show that HyPro-MS and HyPro-seq can identify both known and previously unexplored spatial neighbors of the noncoding RNAs 45S, NEAT1, and PNCTR expressed at markedly different levels. Notably, HyPro-seq uncovers an extensive repertoire of incompletely processed, adenosine-to-inosine-edited transcripts accumulating at the interface between their encoding chromosomal regions and the NEAT1-containing paraspeckle compartment. At least some of these targets require NEAT1 for their optimal expression. Overall, this study provides a versatile toolkit for dissecting RNA interactomes in diverse biomedical contexts and expands our understanding of the functional architecture of the mammalian nucleus.