Biology subjects

Haberman, N.

Publications and source records attributed to Haberman, N..

8 recordsLinked to original sources

bioRxiv2024

CFC-seq: identification of full-length capped RNAs unveil enhancer-derived transcription

Long-read sequencing has transformed transcriptome profiling, yet capturing full-length, non-polyadenylated transcripts like enhancer RNAs (eRNAs) remains challenging. Here, we introduce CFC-seq, combining cap-trapping and in vitro poly(A)-tailing to sequence poly(A) and non-poly(A) RNAs with precise transcription start site. Paired with our assembler, SALA, we identified 39,425 novel transcriptional units, including [~]24,000 eRNAs. Our data reveal a distinct genomic code governing eRNA fate dictated by core promoter architecture. CpG-island enhancers show high chromatin connectivity but yield short, exosome-sensitive RNAs. Conversely, TATA-box enhancers systematically co-opt LTR retrotransposons to inherit structural motifs that produce long, stable, and spliced RNAs. Mechanistically, the pioneer factor NF-Y activates these viral elements to license transcription, balanced by TEAD4 activity across a dual-gear regulatory axis. Finally, non-poly(A) eRNAs terminate via exosome-associated processing at structural-depleted cleavage zones. This comprehensive annotation links enhancer sequence architecture to RNA fate, providing a new transformative framework for decoding the functional human genome. HighlightsO_LIExpanded genomic architecture: CFC-seq unmasks a hidden layer of human transcriptome, identifying 39,425 novel transcriptional units with high-confidence TSS support, including [~]24,000 eRNAs. C_LIO_LITSS-first assembler: We introduce SALA, a specialized long-read assembler that prioritizes authentic 5 Cap-trapped ends to accurately reconstruct the TSS-resolved transcript models. C_LIO_LIGenomic code of eRNA fate: CGI enhancers drive short and exosome-sensitive transcripts associated with repressive H3K27me3 mark and high chromatin connectivity. TATA-box enhancers produce cell-type-specific, long, stable, and frequently spliced eRNAs. C_LIO_LIEvolutionary co-option of retrotransposons: A major fraction of TATA-box eRNAs originate from LTR retrotransposons, providing a direct mechanism for integration of viral elements into the human regulatory landscape. C_LIO_LIA dual-gear pioneering axis: The pioneer factor NF-Y activates unprimed LTR-TATA enhancers to license transcription independent of histone acetylation cascades, operating in parallel with TEAD4-mediated activation. C_LIO_LIStructural determinants of eRNA termination: Non-poly(A) eRNA TES features a secondary structure depletion zone that coordinates pol II termination and calibrates exosome-mediated turnover. C_LI

genomics↗

bioRxiv2024

Liver kinase B1 (LKB1) regulates the epigenetic landscape of mouse pancreatic beta cells

Liver kinase B1 (LKB1/STK11) is an important regulator of pancreatic {beta}-cell identity and function. Elimination of Lkb1 from the {beta}-cell results in improved glucose-stimulated insulin secretion and is accompanied by profound changes in gene expression, including the upregulation of several neuronal genes. The mechanisms through which LKB1 controls gene expression are, at present, poorly understood. Here, we explore the impact of {beta} cell- selective deletion of Lkb1 on chromatin accessibility in mouse pancreatic islets. To characterize the role of LKB1 in the regulation of gene expression at the transcriptional level, we combine these data with a map of islet active transcription start sites and histone marks. We demonstrate that LKB1 elimination from {beta}-cells results in widespread changes in chromatin accessibility, correlating with changes in transcript levels. Changes occurred in hundreds of promoter and enhancer regions, many of which were close to neuronal genes. We reveal that dysregulated enhancers are enriched in binding motifs for transcription factors important for {beta}-cell identity, such as FOXA, MAFA or RFX6 and we identify microRNAs (miRNAs) that are regulated by LKB1 at the transcriptional level. Overall, our study provides important new insights into the epigenetic mechanisms by which LKB1 regulates {beta}-cell identity and function.

cell biology↗

bioRxiv2023

Abundant capped RNAs are derived from mRNA cleavage at 3'UTR G-Quadruplexes

The 3 untranslated region (3UTR) plays a crucial role in determining mRNA stability, localisation, translation and degradation. Cap analysis gene expression (CAGE), a method for the detection of capped 5 ends of mRNAs, additionally reveals a large number of apparently 5 capped RNAs derived from 3UTRs. Here we provide the first direct evidence that these 3UTR-derived RNAs are indeed capped and often more abundant than the corresponding full-length mRNAs. By using a combination of AGO2 enhanced individual nucleotide resolution UV crosslinking and immunoprecipitation (eiCLIP) and CAGE following siRNA knockdowns, we find that these 3UTR-derived RNAs likely originate from AGO2-mediated cleavage, and most often occur at locations with potential to form RNA-G-quadruplexes and are enriched by RNA-binding protein UPF1. High-resolution imaging and long-read sequencing analysis validates several 3UTR-derived RNAs, demonstrates their abundance and shows that they tend not to co-localise with the parental mRNAs. We also find that production of 3UTR-derived RNA could explain the previously reported role of a 3UTR G-quadruplex in regulating the production of APP protein. Taken together, we provide new insights into the origin and abundance of 3UTR-derived RNAs, show the utility of CAGE-seq for their quantitative detection, and provide a rich dataset for exploring new biology of a poorly understood new class of RNAs. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=73 SRC="FIGDIR/small/538568v3_ufig1.gif" ALT="Figure 1"> View larger version (15K): org.highwire.dtl.DTLVardef@3f2ca7org.highwire.dtl.DTLVardef@18ca1b6org.highwire.dtl.DTLVardef@1ccdd8dorg.highwire.dtl.DTLVardef@e58938_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2020

The long non-coding RNA Pax6os1/PAX6-AS1 modulates pancreatic β-cell identity and function.

Aim/HypothesisLong non-coding RNAs (lncRNAs) are emerging as crucial regulators of beta cell development and function. Here, we investigate roles for an antisense lncRNA expressed from the Pax6 locus (annotated as Pax6os1 in mice and PAX6-AS1 in humans) in beta cell identity and functionality. MethodsPax6os1 expression was silenced in MIN6 cells using siRNAs and changes in gene expression were determined by RNA sequencing or qRT-PCR. Mice inactivated for Pax6os1 and human PAX6-AS1-null EndoC-{beta}H1 cells, were generated using CRISPR/Cas9 technology. Human islets were infected with lentiviral vectors bearing a targeted shRNA or PAX6-AS1, which were used to silence or overexpress, respectively, the lncRNA. RNA sequencing or RT-qPCR were used to measure transcriptomic changes and RNA pulldown in mice and human cells followed by mass spectrometry/western blot were performed to explore RNA protein interactions. ResultsPax6os1/PAX6-AS1 expression was upregulated at high glucose concentrations in derived beta cell lines as well as in mouse and human islets, and in pancreatic islets isolated from mice fed a high fat diet (n=6, p=0.003) and patients with type 2 diabetes (n=11-5, p<0.01). Silencing or deletion of Pax6os1/PAX6-AS1 in MIN6 or EndoC-{beta}H1cells increased the expression of several {beta}-cell signature genes, including PDX1 and INS. Female, but not male, Pax6os1 null mice fed a high fat diet showed slightly enhanced glucose clearance. ShRNA-mediated silencing of PAX6-AS1 in human islets robustly increased INS mRNA, enhanced glucose-stimulated insulin secretion and calcium dynamics, while overexpression of the lncRNA exerted opposing effects. Pax6os1/AS-1 interacted with histones H3 and H4 in mouse and human cells, indicating a possible role for this lncRNA in histone modifications in both species. ConclusionsIncreased expression of PAX6-AS1 at high glucose levels may impair beta cell functionality and thus contribute to the development of type 2 diabetes. Thus, targeting PAX6-AS1 may provide a promising strategy to enhance insulin secretion and improve glucose homeostasis in this disease. Research in contextO_ST_ABSWhat is already known about the subject?C_ST_ABSLong non-coding RNAs (lncRNAs) are crucial components of the pancreatic islet regulome, whose misexpression may contribute to the development of diabetes. What is the key question?Is the lncRNA Pax6os1/PAX6-AS1 involved in beta cell functionality and type 2 diabetes? What are the new findings?The expression of Pax6os1/PAX6-AS1 is upregulated in mice fed a high fat diet and in pancreatic islets from type 2 diabetes donors. Overexpression of PAX6-AS1 in human pancreatic islets reduces insulin expression, glucose stimulated secretion and intracellular calcium dynamics. Silencing PAX6-AS1 in human pancreatic islets upregulates insulin expression, enhances glucose stimulated insulin secretion and increases intracellular calcium dynamics. How may this impact the clinic in the foreseeable future?Understanding the genetic factors induced by high glucose/obesity involved in beta cell dysfunction is crucial for the development of new therapies to treat T2D.

cell biology↗

bioRxiv2018

The transcriptome-wide landscape and modalities of EJC binding in adult Drosophila

Splicing-dependent assembly of the exon junction complex (EJC) at canonical sites -20 to -24 nucleotides upstream of exon-exon junctions in mRNAs occurs in all higher eukaryotes and affects most major regulatory events in the life of a transcript. In mammalian cell cytoplasm, EJC is essential for efficient RNA surveillance, while in Drosophila the most essential cytoplasmic EJC function is in localization of oskar mRNA. Here we developed a method for isolation of protein complexes and associated RNA-targets (ipaRt), which provides a transcriptome-wide view of RNA binding sites of the fully assembled EJC in adult Drosophila. We find that EJC binds at canonical positions, with highest occupancy on mRNAs from genes comprising multiple splice sites and long introns. Moreover, the occupancy is highest at junctions adjacent to strong splice sites, CG-rich hexamers and RNA structures. These modalities have not been identified by previous studies in mammals, where more binding was seen at non-canonical positions. The most highly occupied transcripts in Drosophila have increased tendency to be maternally localized, and are more likely to derive from genes involved in differentiation or development. Taken together, we identify the RNA modalities that specify EJC assembly in Drosophila on a biologically coherent set of transcripts.

biochemistry↗

bioRxiv2018

Transcriptome-wide profiling of mammalian spliceosome and branchpoints with iCLIP

Studies of spliceosomal interactions are challenging due to their dynamic nature. Here we employed spliceosome iCLIP, which immunoprecipitates SmB along with snRNPs and auxiliary RNA binding proteins (RBPs), to map human spliceosome engagement with snRNAs and pre-mRNAs. This identified over 50,000 branchpoints (BPs) that have canonical sequence and structural features. Moreover, it revealed 7 binding peaks around BPs and splice sites, each precisely overlapping with binding profiles of specific splicing factors. We show how the binding patterns of these RBPs are affected by the position and strength of BPs. For example, strong or proximally located BPs preferentially bind SF3 rather than U2AF complex. Notably, these effects are partly neutralized during spliceosomal assembly in a way that depends on the core spliceosomal protein PRPF8. These insights exemplify spliceosome iCLIP as a broadly applicable method for transcriptomic studies of splicing mechanisms.

genomics↗

bioRxiv2018

Heteromeric RNP assembly at LINEs controls lineage-specific RNA processing

It is challenging for RNA processing machineries to select exons within long intronic regions. We find that intronic LINE repeat sequences (LINEs) contribute to this selection by recruiting dozens of RNA-binding proteins (RBPs). This includes MATR3, which promotes binding of PTBP1 to multivalent binding sites in LINEs. Both RBPs repress splicing and 3 end processing within and around LINEs, as demonstrated in cultured human cells and mouse brain. Notably, repressive RBPs preferentially bind to evolutionarily young LINEs, which are confined to deep intronic regions. These RBPs insulate both LINEs and surrounding regions from RNA processing. Upon evolutionary divergence, gradual loss of insulation diversifies the roles of LINEs. Older LINEs are located closer to exons, are a common source of tissue-specific exons, and increasingly bind to RBPs that enhance RNA processing. Thus, LINEs are hubs for assembly of repressive RBPs, and contribute to evolution of new, lineage-specific transcripts in mammals.

genomics↗

bioRxiv2017

Data Science Issues in Understanding Protein-RNA Interactions

An interplay of experimental and computational methods is required to achieve a comprehensive understanding of protein-RNA interactions. Crosslinking and immunoprecipitation (CLIP) identifies endogenous interactions by sequencing RNA fragments that co-purify with a selected RBP under stringent conditions. Here we focus on approaches for the analysis of resulting data and appraise the methods for peak calling, visualisation, analysis and computational modelling of protein-RNA binding sites. We advocate a combined assessment of cDNA complexity and specificity for data quality control. Moreover, we demonstrate the value of analysing sequence motif enrichment in peaks assigned from CLIP data, and of visualising RNA maps, which examine the positional distribution of peaks around regulated landmarks in transcripts. We use these to assess how variations in CLIP data quality, and in different peak calling methods, affect the insights into regulatory mechanisms. We conclude by discussing future opportunities for the computational analysis of protein-RNA interaction experiments.

bioinformatics↗