Search bioRxiv⌕ Search

bioRxiv · 10.1101/2020.09.07.285114

Human cells contain myriad excised linear intron RNAs with potential functions in gene regulation and utility as disease biomarkers

Abstract

Previous Thermostable Group II Intron Reverse Transcriptase sequencing (TGIRT-seq) found that human plasma contains short ([≤]300 nt) structured full-length excised linear intron RNAs (FLEXIs) with potential utility as blood-based biomarkers. Here, TGIRT-seq identified >9,000 different FLEXIs in human cells, including relatively abundant FLEXIs with cell-type-specific expression patterns. Analysis of published CLIP-seq datasets identified 126 RNA-binding proteins (RBPs) that bind different FLEXIs, including 53 RBPs that bind [≥]30 FLEXIs. These RBPs included splicing factors, transcription factors, a chromatin remodeling protein, cellular growth regulators, and proteins with cytoplasmic functions. Analysis of published datasets identified subsets of these RBPs that bind at FLEXI splice sites and impact alternative splicing or FLEXI host gene mRNA levels. Hierarchical clustering identified 6 subsets of RBPs whose binding sites were co-enriched in different subsets of FLEXIs: AGO1-4 and DICER, including but not limited to annotated agotrons and mirtron pre-miRNAs; DKC1, NOLC1, SMNDC1, and AATF (Apoptosis Antagonizing Transcription Factor), including but not limited to FLEXIs encoding snoRNAs; two sets of alternative splicing factors; and two sets that included RBPs with cytoplasmic functions (e.g., LARP4, PABPC4, METAP2, and ZNF622) together with nuclear regulatory proteins. The subsets of host genes encoding FLEXIs that bind these RBPs were enriched with non-FLEXI other short and long introns that bind the same RBPs, and TGIRT-seq of nuclear and cytoplasmic fractions from 4 cell lines showed cytoplasmic enrichment of FLEXIs with binding sites for RBPs that function in the cytoplasm. Collectively, our findings suggest that different subsets of RBPs bind FLEXIs and other introns to coordinately regulate the expression of functionally related host genes and then co-localize with stably bound FLEXIs to different intracellular locations. The cell-type specific expression of relatively abundant FLEXIs suggests utility as cellular as well as blood-based RNA biomarkers.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Yao, J., Xu, H., Wu, D. C., Ares, M., Lambowitz, A. M.. 2020-09-09. Human cells contain myriad excised linear intron RNAs with potential functions in gene regulation and utility as disease biomarkers. https://doi.org/10.1101/2020.09.07.285114

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Somatic variant detection using an individual-specific pangenome reference: a case study of a pediatric acute myeloid leukemia patient

Background: Reference bias can cause false or missed somatic variant calls, also in clinically relevant genes. Pangenomes aim to reduce this bias, but evidence of their diagnostic benefit is lacking. We tested how an individual-specific pangenome affects somatic variant calling in bulk samples and single cells. Results: We built an individual-specific pangenome from Nanopore assemblies of normal hematopoietic stem and progenitor cells of a child with acute myeloid leukemia. We aligned short-read whole-genome sequencing data of bulk and single-cell samples to hg38 and to the pangenome, and called somatic variants with standard downstream tools after anchoring pangenome alignments to hg38. Single nucleotide variants were mostly shared, while indel calls unique to the pangenome were fewer than those unique to hg38, mostly in repeats. Both approaches detected NUP98-NSD1 and FLT3 internal tandem duplication (FLT3-ITD) drivers. The pangenome-based phylogeny showed more parallel branching in comparison to hg38-based tree. The pangenome removed three false-positive PRSS1 variants and, in single cells, frameshift insertion calls next to polyG and polyC repeats. However, surjection to hg38 coordinates split a WT1 driver indel call in a low-complexity region into two separate calls. Validation showed that all somatic structural variant calls, except NUP98-NSD1 and FLT3-ITD, were germline variants or artifacts. Conclusions: The use of individual-specific pangenome led to fewer false-positive indel and driver calls, mainly in repeats and single cells, and changed the branching of the inferred phylogeny. However, surjection artifacts and false-positive somatic structural variants show that pangenome-based results need read-level inspection and validation before clinical use.

genomics↗

Molecule-resolved inference reveals the spatial organization of transcriptional programs

Transcriptional programs encode cellular identity and physiological activity, linking gene regulation to cellular phenotypes. Although spatial transcriptomics measures individual RNA molecules across intact tissues, most analyses aggregate them into cells or pixels, obscuring molecular level functional dynamics. We introduce FICTURE2, a statistical model that infers the transcriptional program from which each individual molecule is generated, using gene identity and spatial context alone without segmentation or binning. FICTURE2 learns programs with distinct spatial distributions, ranging from millimeter-scale continuous transition to micron-scale subcellular localization, the coexisting patterns of which then reveal both cellular identity and physiological activity with unified interpretations. FICTURE2 supports both unsupervised and reference-guided inference and is orders of magnitude more efficient than alternative approaches, enabling systematic analysis of large-scale spatial datasets as we demonstrate in data across diverse tissue types profiled by various spatial technologies.

genomics↗

Shared genomic signatures of Arctic adaptation among distantly related plant lineages

Extreme environments impose strong selection pressures that can drive convergent adaptation among distantly related species. Arctic plants survive low temperatures, 24-hour light in summer and darkness in winter, short growing seasons, limited precipitation, nutrient-poor soils, and extreme seasonal variation. To test if these conditions are associated with shared genomic signatures, we generated a chromosome-level genome assembly for Oxyria digyna and compared it with existing reference genomes for three distantly related Arctic species (Cochlearia groenlandica, Draba nivalis, Dryas octopetala) and for 16 non-Arctic species from the same families. We identified 214 orthogroups with signatures of positive selection in all Arctic species, 1.6 times the number shared among the non-Arctic species. Although no gene ontology (GO) categories remained significantly enriched after multiple-testing correction, descriptive annotations included genes involved in general functions including protein folding, glycolysis, transcription, and oxidative-stress responses. Orthogroups showing copy number variation were associated with biotic interactions, sexual reproduction, and nutrient acquisition, suggesting that species may respond to biotic and nutrient stresses by shifts in gene copy number. Arctic and alpine genomes contained lower proportions of some repetitive elements, including terminal inverted repeats, and smaller regions of centromeric repeats than non-Arctic genomes. Overall, we see shared genes under positive selection, similar functions of genes with high copy number variation, and lower counts of some repetitive elements in the Arctic plant genomes. Our findings reveal a shared genomic signature of Arctic adaptation across deeply diverged plant lineages, suggesting that evolution in extreme environments repeatedly targets similar genomic features.

genomics↗