Biology subjects

Biasini, A.

Publications and source records attributed to Biasini, A..

5 recordsLinked to original sources

bioRxiv2025

Loss of the Integrator and Nuclear Exosome Targeting complexes disrupts oogenesis and causes the emergenceof atypical transcripts in Drosophila

Nuclear RNA homeostasis depends on the balance of transcription, RNA processing, degradation, and transport between the nucleus and cytoplasm. RNA degradation directed by the Integrator, nuclear exosome targeting (NEXT), and nuclear exosome complexes controls the accumulation of aberrant nuclear RNA. Here, we report that Drosophila oogenesis requires the Integrator, NEXT, and nuclear exosome complexes. Depletion of Integrator, NEXT, or nuclear exosome components in Drosophila female germ cells causes infertility and accumulation of 3' extended snRNAs, promoter upstream transcripts (PROMPTs), and cryptic transcripts. Our data highlight the essential role of nuclear RNA degradation and processing in Drosophila oogenesis and provide a catalog of RNAs whose nuclear levels are regulated by these three complexes. We propose that Integrator, NEXT, and the nuclear exosome support oogenesis by ensuring that inappropriate transcription does not overwhelm the limited supply of proteins that bind, process, and traffic RNA.

molecular biology↗

bioRxiv2020

Estimating RNA dynamics using one time point for one sample in a single-pulse metabolic experiment

Over the past decade, experimental procedures such as metabolic labeling for determining RNA turnover rates at the transcriptome-wide scale have been widely adopted and are now turning to single cell measurements. Several computational methods to estimate RNA processing and degradation rates from such experiments have been suggested, but they all require several RNA sequencing samples. Here we present a method that can estimate RNA synthesis, processing and degradation rates from a single sample. Our method is computationally efficient and outputs rates that correlate well with previously published data sets. Using it on a single sample, we were able to reproduce the observation that dynamic biological processes tend to involve genes with higher metabolic rates, while stable processes involve genes with lower rates. This supports the hypothesis that cells control not only the mRNA steady-state abundance, but also its responsiveness, i.e., how fast steady-state is reached. In addition to saving experimental work and computational time, having a sample-based rate estimation has several advantages. It does not require an error-prone normalization across samples and enables the use of replicates to estimate uncertainty and perform quality control. Finally the method and theoretical results described here are general enough to be useful in other contexts such as nucleotide conversion methods and single cell metabolic labeling experiments.

bioinformatics↗

bioRxiv2020

Translation is required for miRNA-dependent decay of endogenous transcripts.

Posttranscriptional repression by microRNA (miRNA) occurs through transcript destabilization or translation inhibition. Whereas RNA degradation explains most miRNA-dependent repression, transcript decay occurs co-translationally, raising questions regarding the requirement of target translation to miRNA-dependent transcript destabilization. To assess the contribution of translation to miRNA-mediated RNA destabilization, we decoupled these two molecular processes by dissecting the impact of miRNA loss of function on cytosolic long noncoding RNAs (lncRNAs). We show, that despite interacting with miRNA loaded RNA-induced silencing complex (miRISC), the steady state abundance and degradation rates of these endogenously expressed non-translated transcripts are minimally impacted by miRNA loss. To validate the requirement of translation for miRNA-dependent decay, we fused a miRISC bound lncRNA, whose levels are unaffected by miRNAs, to the 3end of a protein-coding gene reporter and show that this results in its miRNA-dependent transcript destabilization. Furthermore, analysis of the few lncRNAs whose levels are regulated by miRNAs revealed these tend to associate with translating ribosomes and are likely misannotated micropeptides, further substantiating the necessity of target translation for miRNA-dependent transcript decay. Our analyses reveal the strict requirement of translation for miRNA-dependent transcript destabilization and demonstrate that the levels of coding and noncoding transcripts are differently affected by miRNAs.

genomics↗

bioRxiv2019

The contribution of lincRNAs at the interface between cell cycle regulation and cell state maintenance

Cell cycle progression requires dynamic and tightly-regulated transitions between well-defined cell cycle stages. These transitions are controlled by the interplay of established cell cycle regulators. Changes in the activity of these regulators are thought to underpin differences in cell cycle kinetics between distinct cell types. Here, we investigate whether cell type-specific long intergenic noncoding RNAs (lincRNAs) contribute to embryonic stem cell adaptations, which have been shown to be essential for the maintenance of embryonic stem cell state. We used single cell RNA-sequencing data of mouse embryonic stem cells (mESC) staged as G1, S, or G2/M to identify genes differentially expressed between these phases. We found differentially expressed lincRNAs to be enriched amongst cell cycle regulated genes. These cell cycle associated lincRNAs (CC-lincRNAs) are co-expressed with protein-coding genes with established roles in cell cycle progression. Interestingly, 70% of CC-lincRNAs are differentially expressed between G1 and S, suggesting they may contribute to the maintenance of the short G1 phase that characterizes the embryonic stem cell cycle. Consistent with this hypothesis, the promoters of CC-lincRNAs are enriched in pluripotency transcription factor binding sites, and their transcripts are frequently co-regulated with genes involved in the maintenance of pluripotency. We tested the impact of 2 CC-lincRNA candidates and show that modulation of their expression is associated with impaired cell cycle progression, further underlining the contribution of mESC-specific lincRNAs to cell cycle modulation in these cells.

genomics↗

bioRxiv2018

An unexpected contribution of lincRNA splicing to enhancer function.

Transcription is common at active mammalian enhancers sometimes giving rise to stable and unidirectionally transcribed enhancer-associated long intergenic noncoding RNAs (elincRNAs). ElincRNA expression is associated with changes in neighboring gene product abundance and local chromosomal topology, suggesting that transcription at these loci contributes to gene expression regulation in cis. Despite the lack of evidence supporting sequence-dependent functions for most elincRNAs, splicing of these transcripts is unexpectedly common. Whether elincRNA splicing is a mere consequence of their cognate enhancer activity or if it directly impacts enhancer-associated cis-regulation remains unanswered.\n\nHere we show that elincRNAs are efficiently and rapidly spliced and that their processing rate is strongly associated with their cognate enhancer activity. This association is supported by: their enrichment in enhancer-specific chromatin signatures; elevated binding of co-transcriptional regulators, including CBP and p300; increased local intra-chromosomal DNA contacts; and strengthened cis-regulation on target gene expression. Using nucleotide polymorphisms at elincRNA splice sites, we found that elincRNA splicing enhances their transcription and directly impacts cis-regulatory function of their cognate enhancers. Importantly, up to 90% of human elincRNAs have nucleotide variants that are associated with both their splicing and the expression levels of their proximal genes.\n\nOur results highlight an unexpected contribution of elincRNA splicing to enhancer function.

genomics↗