Biology subjects

Pelizzola, M.

Publications and source records attributed to Pelizzola, M..

9 recordsLinked to original sources

bioRxiv2026

Centrosome architecture and m6A-dependent gating of p53 surveillanceafter whole-genome doubling

Whole-genome doubling (WGD) generates a tetraploid state that challenges cellular homeostasis and is strongly selected against in TP53-proficient contexts. Although centrosome amplification serves as a structural correlate of genome doubling, how centrosomal features engage and sustain p53 surveillance remains incompletely understood. Here, we develop a genetically encoded MDM2-based fluorescent reporter to monitor Caspase-2 pathway activation in living cells after WGD. Combining pharmacological profiling and genome-wide CRISPR screening, we uncover a multi-layered regulation of p53 responses. We identify PLK1-dependent centriole maturation and subdistal appendage integrity as architectural determinants of PIDDosome-dependent Caspase-2 activation, independent of distal appendage assembly. We show that upon WGD, Caspase-2-mediated cleavage of MDM2 reshapes the p53-MDM2 regulatory loop, enabling sustained p53 signaling. This sustained output depends on the catalytic activity of METTL3 and associated m6A writer proteins. Together, these findings demonstrate that centrosome architecture and epitranscriptomic regulation cooperate to shape p53 surveillance after genome doubling. HighlightsO_LIWhole-genome doubling creates a surveillance state sensed by centrosome cluster architecture. C_LIO_LICaspase-2 activation converts the p53-MDM2 loop from negative to positive feedback. C_LIO_LIm6A methylation establishes competence of the p53 module for sustained output. C_LIO_LIA genetically encoded biosensor enables functional dissection of this circuit. C_LI

cell biology↗

bioRxiv2024

A comprehensive survey of RNA modifications in a human transcriptome

RNA modifications are critical for transcript function and regulation, yet detecting these modifications transcriptome-wide and at isoform-level resolution remains technically challenging. Here, we present a robust in vitro transcription (IVT)-based strategy coupled with direct RNA nanopore sequencing (dRNA-seq) to detect a wide spectrum of endogenous RNA modifications without requiring prior knowledge of modification types or modification-specific biochemical assays. We generated an IVT modification-free reference transcriptome from K562 cells and used Nanocompore to compare it to the native RNA. We detected 26,619 modification sites across 2,520 isoforms from 1,766 genes. We used motif and annotation-based inference to identify at least eight distinct RNA modifications, with m6A and m5C being the most prevalent. Importantly, we uncovered non-random co-occurrence of m6A and m5C on both the same transcripts and a subset of the same molecules, suggesting potential combinatorial regulation. Furthermore, RNA modification patterns were often isoform-specific, pointing to a link between the epitranscriptome and alternative splicing. This approach also revealed previously underexplored modification patterns in mitochondrial mRNAs, suggesting broader regulatory complexity than previously appreciated. Our study provides a survey of RNA modifications across the transcriptome, demonstrating the utility of in vitro transcription coupled with direct RNA nanopore sequencing to simultaneously detect multiple modifications without the need for additional independent biochemical assays, enabling future investigations into the dynamics, coordination, and functional consequences of RNA modifications across different biological contexts.

genomics↗

bioRxiv2024

Insights into gene conversion and crossing-over processes from long-read sequencing of human, chimpanzee and gorilla testes and sperm

Homologous recombination rearranges genetic information during meiosis to generate new combinations of variants. Recombination also causes new mutations, affects the GC content of the genome and reduces selective interference. Here, we use HiFi long-read sequencing to directly detect crossover and gene conversion events from switches between the two haplotypes along single HiFi-reads from testis tissue of humans, chimpanzees and gorillas as well as human sperm samples. Furthermore, based on DNA methylation calls, we classify the cellular origin of reads to either somatic or germline cells in the testis tissue. We identify 1692 crossovers and 1032 gene conversions in nine samples and investigate their chromosomal distribution. Crossovers are more telomeric and correlate better with recombination maps than gene conversions. We show a strong concordance between a human double-strand break map and the human samples, but not for the other species, supporting different PRDM9-programmed double-strand break loci. We estimate the average gene conversion tract lengths to be similar and very short in all three species (means 40-100 bp, fitted well by a geometric distribution) and that 95-98% of non-crossover events do not involve tracts intersecting with polymorphism and are therefore not detectable. Finally, we detect a GC bias in the gene conversion of both single and multiple SNVs and show that the GC-biased gene conversion affects SNVs flanking crossover events. This implies that gene conversion events associated with crossover events are much longer (estimated above 500 bp) than those associated with non-crossover events. Highly accurate long-read sequencing combined with the classification of reads to specific cell types provides a new, powerful way to make individual, detailed maps of gene conversion and crossovers for any species.

evolutionary biology↗

bioRxiv2022

Haplotype based testing for a better understanding of the selective architecture

The identification of genomic regions affected by selection is one of the most important goals in population genetics. If temporal data are available, allele frequency changes at SNP positions are often used for this purpose. Here we provide a new testing approach that uses haplotype frequencies instead of allele frequencies. With this approach, less multiple testing correction is needed, which leads to tests with higher power, especially when the number of candidate haplotypes is small or moderate. Another advantage is that haplotype frequencies can often be recovered with less noise than SNP frequencies, especially under pool sequencing. For a larger number of haplotypes, we investigate methods to combine them to a moderate number of haplotype subsets. The use of haplotypes also permits a better understanding of selective signatures. For this purpose, we propose post hoc tests for the selected haplotypes and differences between their selection coefficients. Using both simulated and real data sets, we illustrate the performance and benefits of our proposed test statistics.

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

Benchmarking software tools for detecting and quantifying selection in Evolve and Resequencing studies

The combination of experimental evolution with whole genome re-sequencing of pooled individuals, also called Evolve and Resequence (E&R) is a powerful approach to study selection processes and to infer the architecture of adaptive variation. Given the large potential of this method, a range of software tools were developed to identify selected SNPs and to measure their selection coefficients. In this benchmarking study, we are comparing 15 test statistics implemented in 10 software tools using three different scenarios. We demonstrate that the power of the methods differs among the scenarios, but some consistently outperform others. LRT-1, which takes advantage of time series data consistently performed best for all three scenarios. Nevertheless, the CMH test, which requires only two time points had almost the same performance. This benchmark study will not only facilitate the analysis of already existing data, but also affect the design of future data collections.

evolutionary biology↗

bioRxiv2019

An early Myc-dependent transcriptional program underlies enhanced macromolecular biosynthesis and cell growth during B-cell activation

Upon activation, lymphocytes exit quiescence and undergo substantial increases in cell size, accompanied by activation of energy-producing and anabolic pathways, widespread chromatin decompaction and elevated transcriptional activity. These changes depend upon prior induction of the Myc transcription factor, but how Myc controls them remains unclear. We addressed this issue in primary mouse B-cells, based on conditional deletion of the c-myc gene, followed by LPS stimulation. Myc was rapidly induced, became detectable on virtually all active promoters and enhancers, but had no direct impact on global transcriptional activity. Instead, Myc contributed to the swift up- and down-regulation of several hundred genes, including many known regulators of the aforementioned cellular processes. Myc-activated promoters were enriched for E-box consensus motifs, bound Myc at the highest levels and showed enhanced RNA Polymerase II recruitment, the opposite being true at down-regulated loci. Remarkably, the Myc-dependent signature identified in activated B-cells was also enriched in Myc-driven B-cell lymphomas: hence, besides modulation of new cancer-specific programs, the oncogenic action of Myc may largely rely on sustained deregulation of its normal physiological targets.

cancer biology↗

bioRxiv2019

Dynamics of transcriptional regulation from total RNA-seq experiments

The kinetic rates of RNA synthesis, processing and degradation determine the dynamics of transcriptional regulation by governing both the abundance and the responsiveness to modulations of premature and mature RNA species. The study of RNA dynamics is largely based on the integrative analysis of total and nascent transcription, with the latter being quantified through RNA metabolic labeling. We describe here INSPEcT-, a computational method based on mathematical modeling of intronic and exonic expression, able to derive the dynamics of transcription from steady state or time course profiling of just total RNA, without requiring any information on nascent transcripts. Our approach closely recapitulates the kinetic rates obtained through RNA metabolic labeling, improves the ability to detect changes in transcripts half-lives, reduces the cost and complexity of the experiments, and can be adopted to study experimental conditions where nascent transcription cannot be readily profiled. Finally, we applied INSPEcT- to the characterization of post-transcriptional regulation landscapes in dozens of physiological and disease conditions. This approach was included in the INSPEcT Bioconductor package, which can now unveil RNA dynamics from steady state or time course data, with or without the profiling of nascent RNA.

systems biology↗

bioRxiv2018

DNA methylation dynamics during embryonic development and postnatal maturation of the mouse auditory organ of Corti

BackgroundThe mammalian inner ear is a complex morphological structure responsible for hearing and balance, and its pathology is associated with deafness and balance disorders. To evaluate the role of epigenomic dynamics in the development and maturation of mouse inner ear sensory epithelium, we performed whole-genome bisulfite sequencing on inner ear tissue, yielding temporal base-pair resolution methylomes at key developmental time points.\n\nResultsWe found a late accumulation of non-CpG methylation, indicating a similarity between the inner ear sensory epithelium and neuronal tissue. Moreover, annotation of both unmethylated and low methylated regions pointed to regulatory elements active in the inner ear in proximity of and distal from transcriptional units. Finally, we identified differentially methylated regions across the transition periods. An analysis of these regions led us to identify several novel candidate regulatory factors, connecting regulatory elements from specific time points in development to molecular features that drive the development and maturation of the inner ear sensory epithelium. The GJB6 locus putative regulatory region was shown to upregulate distal GJB6 gene expression and a non-coding RNA.\n\nConclusionsOur analysis of inner ear sensory epithelium DNA methylation sheds light on novel regulatory regions in the hearing organ, and may help boost diagnostic capabilities and guide the development of therapeutics for hearing loss, by providing multiple intervention points for manipulation of the auditory system.

genomics↗