Biology subjects

Laederach, A.

Publications and source records attributed to Laederach, A..

14 recordsLinked to original sources

bioRxiv2026

Large-scale structural analysis of pre-mRNA structure using RADIS

Pre-mRNA secondary structure can modulate the regulatory function of intronic sequences by masking or exposing splice-site signals and altering the accessibility of other features. Yet experimentally supported structural models for human pre-mRNAs have been largely restricted to splice-site-proximal sequences, leaving the deep intronic regions where ~70% of intronic disease-causing variants reside almost entirely unmapped. We developed RADIS (Reactivity Analysis of Deep and Intergenic RNA Structure), a strategy that yields strand-resolved chemical probing reactivity profiles across entire intron-rich loci by creating tiled arrays of RNAs that comprehensively span long genomic distances. This approach removes the abundance and locus-specificity constraints that otherwise limit pre-mRNA probing approaches. RADIS recovers known E. coli ribosomal RNA architectures and yields high-correlation with in-cell dimethyl sulfate (DMS)-MaP reactivities at representative splice sites (r = 0.87-0.90). RADIS-constrained folding of 109 5' and 88 3' splice sites uncovers an inverse relationship between base-pairing within the spliceosome footprint and splice-site strength, and partitions 81 branchpoints into three structural classes. Across 233 full-length Alu elements, sense Alu RNAs are more structured than antisense elements, and both partition into strand- and lineage-dependent structural classes. RADIS enables experimentally grounded structure analysis at disease-associated intronic and intergenic loci, complementing sequence-based variant-effect predictors.

molecular biology↗

bioRxiv2026

Scanning transcriptomes for nonlinear, domain-level similarities using hmSEEKR

Long noncoding RNAs (lncRNAs) play roles in gene regulation across kingdoms of life. However, lncRNAs with related functions often lack linear sequence similarity, making it difficult to leverage studies of one lncRNA to inform the understanding of others. We describe a k-mer-based hidden Markov model, hmSEEKR, that enables the scanning of transcriptomes for regions of non-linear sequence similarity to a query domain, without prior knowledge of where within the transcriptome the similarities may be located. When individual lncRNA domains were used as search features, hmSEEKR successfully identified regions in other RNAs that harbor non-linear sequence similarity and bind similar sets of proteins. Applying hmSEEKR to transcriptome-wide searches, we found that certain domains within the lncRNAs XIST, NEAT1, and MALAT1 exhibited widespread regional similarity to both lncRNA and protein-coding genes, while others were more unique, exhibiting similarity to [~]100 genes or fewer. Combinatorial searches uncovered RNAs containing sequential matches to core functional domains of XIST and NEAT1, and eCLIP-inferred protein-interaction networks within these RNAs more closely resembled those of XIST and NEAT1, respectively, than would be expected by chance, suggesting the searches recovered RNAs with similar biological properties. Finally, within annotated sets of cis-activating and cis-repressive lncRNAs, we observed opposing enrichments for similarity to domains associated with transcription-promoting complexes and heterogeneous nuclear ribonucleoprotein (hnRNP) binding, respectively, suggesting the enriched sequences may contribute to regulatory functions. hmSEEKR can be applied with minimal training data and enables the a priori discovery of RNA domains that share nonlinear similarity, offering a sequence-informed approach to discover functional elements within noncoding transcriptomes.

bioinformatics↗

bioRxiv2026

Sequence and structure of protein binding sites in RNA impact biomolecular condensates

Biomolecular condensates are central to subcellular compartmentalization. Although many condensates contain and regulate RNA, research has primarily focused on protein interactions. Here, we investigate RNA-protein interactions underlying cell cycle-regulating condensates in the multinucleate fungus Ashbya gossypii. These condensates form through interactions between G1 cyclin mRNA CLN3 and RNA-binding protein Whi3, which was predicted by homology to recognize a five-nucleotide motif repeated within the transcript. Natural variation in motif number in Ashbya strains led us to hypothesize that binding site valence may influence condensate properties. Using unbiased binding assays, we determined the preference of Ashbya Whi3 protein for specific primary RNA sequence and mutated individual Whi3-binding sites within CLN3 mRNA. Mutants exhibited distinct condensate properties despite having the same valence in terms of binding site number. Mutations altered the saturation concentration (Csat) and dense phase concentration of RNA and protein in cell-free reconstitution experiments. A subset of mutants, showed reduced number of condensates and deregulation of the cell cycle in cells. We also find that enhanced availability of single-stranded RNA can compensate for loss of binding sites. Together, these data indicate that differences in RNA protein binding-site context and not simply valence plays a critical role in determining condensate properties.

cell biology↗

bioRxiv2024

Structural determinants of inverted Alu-mediated backsplicing revealed by -MaP and -JuMP

Biogenesis of circular RNA usually involves a backsplicing reaction where the downstream donor site is ligated to the upstream acceptor site by the spliceosome. For this reaction to occur, it is hypothesized that these sites must be in proximity. Inverted repeat sequences, such as Alu elements, in the upstream and downstream introns are predicted to base-pair and represent one mechanism for inducing proximity. Here, we investigate the pre-mRNA structure of the human HIPK3 gene at exon 2, which forms a circular RNA via backsplicing. We leverage multiple chemical probing techniques, including the recently developed SHAPE- JuMP strategy, to characterize secondary and tertiary interactions in the pre- mRNA that govern backsplicing. Our data confirm that the antisense Alu elements, AluSz(-) and AluSq2(+) in the upstream and downstream introns, form a highly- paired interaction. Circularization requires formation of long-range Alu-mediated base pairs but does not require the full-length AluSq2(+). In addition to confirming long-range base pairs, our SHAPE-JuMP data identified multiple long-range interactions between non-pairing nucleotides. Genome-wide analysis of inverted repeats flanking circular RNAs confirm that their presence favors circularization, but the overall effect is modest. Together these results suggest that secondary structure considerations alone cannot fully explain backsplicing and additional interactions are key.

molecular biology↗

bioRxiv2024

An intricate balancing act: Upstream and downstream frameshift co-regulatory elements

Targeting ribosomal frameshifting has emerged as a potential therapeutic intervention strategy against Covid-19. During ribosomal translation, a fraction of elongating ribosomes slips by one base in the 5' direction and enters a new reading frame for viral protein synthesis. Any interference with this process profoundly affects viral replication and propagation. For Covid-19, two RNA sites associated with ribosomal frameshifting for SARS-CoV-2 are positioned on the 5' and 3' of the frameshifting residues. Although much attention has been on the 3' frameshift element (FSE), the 5' stem-loop (attenuator hairpin, AH) can play a role. The formation of AH has been suggested to occur as refolding of the 3' RNA structure is triggered by ribosomal unwinding. However, the attenuation activity and the relationship between the two regions are unknown. To gain more insight into these two related viral RNAs and to further enrich our understanding of ribosomal frameshifting for SARS-CoV-2, we explore the RNA folding of both 5' and 3' regions associated with frameshifting. Using our graph-theory-based modeling tools to represent RNA secondary structures, "RAG" (RNA-As-Graphs), and conformational landscapes to analyze length-dependent conformational distributions, we show that AH coexists with the 3-stem pseudoknot of the 3' FSE (graph 3_6 in our dual graph notation) and alternative pseudoknot (graph 3_3) but less likely with other 3' FSE alternative folds (such as 3-way junction 3_5). This is because an alternative length-dependent Stem 1 (AS1) can disrupt the FSE pseudoknots and trigger other folds. In addition, we design four mutants for long lengths that stabilize or disrupt AH, AS1 or FSE pseudoknot to illustrate the deduced AH/AS1 roles and favor the 3_5, 3_6 or stem-loop. These mutants further show how a strengthened pseudoknot can result from a weakened AS1, while a dominant stem-loop occurs with a strengthened AS1. These structural and mutational insights into both ends of the FSE in SARS-CoV-2 advance our understanding of the SARS-CoV-2 frameshifting mechanism by suggesting a sequence of length-dependent folds, which in turn define potential therapeutic intervention techniques involving both elements. Our work also highlights the complexity of viral landscapes with length-dependent folds, and challenges in analyzing these multiple conformations.

biochemistry↗

bioRxiv2024

Abolished frameshifting for predicted structure-stabilizing SARS-CoV-2 mutants: Implications to alternative conformations and their statistical structural analyses

The SARS-CoV-2 frameshifting element (FSE) has been intensely studied and explored as a therapeutic target for coronavirus diseases including COVID-19. Besides the intriguing virology, this small RNA is known to adopt many length-dependent conformations, as verified by multiple experimental and computational approaches. However, the role these alternative conformations play in the frameshifting mechanism and how to quantify this structural abundance has been an ongoing challenge. Here, we show by DMS and dual-luciferase functional assays that previously predicted FSE mutants (using the RAG graph theory approach) suppress structural transitions and abolish frameshifting. Furthermore, correlated mutation analysis of DMS data by three programs (DREEM, DRACO, and DANCE-MaP) reveals important differences in their estimation of specific RNA conformations, suggesting caution in the interpretation of such complex conformational landscapes. Overall, the abolished frameshifting in three different mutants confirms that all alternative conformations play a role in the pathways of ribosomal transition.

molecular biology↗

bioRxiv2023

Orb2 enables rare-codon-enriched mRNA expression during Drosophila neuron differentiation

Regulation of codon optimality is an increasingly appreciated layer of cell- and tissue-specific protein expression control. Here, we use codon-modified reporters to show that differentiation of Drosophila neural stem cells into neurons enables protein expression from rare-codon-enriched genes. From a candidate screen, we identify the cytoplasmic polyadenylation element binding (CPEB) protein Orb2 as a positive regulator of rare-codon-dependent expression in neurons. Using RNA sequencing, we reveal that Orb2-upregulated mRNAs in the brain with abundant Orb2 binding sites have a rare-codon bias. From these Orb2-regulated mRNAs, we demonstrate that rare-codon enrichment is important for expression control and social behavior function of the metabotropic glutamate receptor (mGluR). Our findings reveal a molecular mechanism by which neural stem cell differentiation shifts genetic code regulation to enable critical mRNA and protein expression.

developmental biology↗

bioRxiv2022

Structural conservation of MALAT1 long non-coding RNA in cells and in evolution

Although not canonically polyadenylated, the long non-coding RNA MALAT1 (Metastasis Associated Lung Adenocarcinoma Transcript 1) is stabilized by a highly conserved 159 nucleotide triple helix structure on its 3 end. The entire MALAT1 transcript is over 8,000 nucleotides long in humans and is considered one of the most conserved lncRNAs, at both the sequence and structure levels. The strongest structural conservation signal (as measured by co-variation of base-pairs) is in the triple helix structure. Primary sequence analysis of co-variation alone cannot confirm the degree of structural conservation of the entire full-length transcript. Furthermore, RNA structure is often context dependent; RNA binding proteins that are differentially expressed in different cell types may alter structure. We investigate here the in cell and cell free structures of the full-length human and green monkey (Chlorocebus sabaeus) MALAT1 transcripts in multiple tissue-derived cell lines using SHAPE chemical probing. Our data reveals surprising levels of uniform structural conservation in different cell lines, in cells and cell free, and even between species, despite significant differences in primary sequence. The uniformity of the structural conservation across the entire transcript suggests that, despite seeing co-variation signals only in the three-helix junction of the lncRNA, the rest of the transcripts structure is remarkably conserved at least in primates and across multiple cell types and conditions.

molecular biology↗

bioRxiv2022

Distinct responses to rare codons in select Drosophila tissues

Codon usage bias has long been appreciated to influence protein production. Yet, relatively few studies have analyzed the impacts of codon usage on tissue-specific mRNA and protein expression. Here, we use codon-modified reporters to perform an organism-wide screen in Drosophila melanogaster for distinct tissue responses to codon usage bias. These reporters reveal a cliff-like decline of protein expression near the limit of rare codon usage in endogenously expressed Drosophila genes. Near the edge of this limit, however, we find the testis and brain are uniquely capable of expressing rare codon-enriched reporters. We define a new metric of tissue-specific codon usage, the tissue-apparent Codon Adaptation Index, to reveal a conserved enrichment for rare codon usage in the endogenously expressed genes of both Drosophila and human testis. We further demonstrate a role for rare codons in restricting protein expression of an evolutionarily young gene, RpL10Aa, to the Drosophila testis. Rare codon-mediated restriction of this testis-specific protein is critical for female fertility. Our work highlights distinct responses to rarely used codons in select tissues, revealing a critical role for codon bias in tissue biology.

developmental biology↗

bioRxiv2022

Rotavirus RNA chaperone mediates global transcriptome-wide increase in RNA backbone flexibility

Due to genome segmentation, rotaviruses must co-package a set of eleven distinct genomic RNAs. The packaging is mediated by the RNA chaperone NSP2. While the activities of RNA chaperones are well studied with short RNAs, little is known about their global effect on the entire viral transcriptome. Here we used Selective 2'-hydroxyl Acylation Analyzed by Primer Extension and Mutational Profiling (SHAPE-MaP) to systematically examine the secondary structure of the rotavirus transcriptome alone and in the presence of NSP2. Surprisingly, SHAPE-MaP data reveal that despite the well-characterized helix-unwinding activity of NSP2 in vitro, its incubation with rotavirus transcripts does not induce a significant change in the SHAPE reactivities. However, a quantitative analysis of the per nucleotide mutation rate, from which SHAPE reactivities are derived, reveals a global five-fold rate increase in the presence of molar excess of NSP2. Further analysis of the mutation rate in the context of structural classification reveals a larger effect on stems rather than loop elements. Together, these data provide the first experimentally derived secondary structure model of the rotavirus transcriptome and reveal that NSP2 exerts a larger effect on stems, while acting by globally increasing RNA backbone flexibility in a protein concentration-dependent manner.

biochemistry↗

bioRxiv2021

Quantitative prediction of variant effects on alternative splicing using endogenous pre-messenger RNA structure probing

Splicing is a highly regulated process that depends on numerous factors. It is particularly challenging to quantitatively predict how a mutation will affect precursor messenger RNA (mRNA) structure and the subsequent functional consequences. Here we use a novel Mutational Profiling (-MaP) methodology to obtain highly reproducible endogenous precursor and mature mRNA structural probing data in vivo. We use these data to estimate Boltzmann suboptimal ensembles, and predict the structural consequences of mutations on precursor mRNA structure. Together with a structural analysis of recent cryo-EM spliceosome structures at different stages of the splicing cycle, we determined that the footprint of the Bact complex on precursor mRNA is best able to predict splicing outcomes for exon 10 inclusion of the alternatively spliced MAPT gene. However, structure alone only achieves 74% accuracy. We therefore developed a {beta}-regression weighting framework that incorporates splice site strength, structure and exonic/intronic splicing regulatory elements which together achieves 90% accuracy for 47 known and six newly discovered splice-altering variants. This combined experimental/computational framework represents a path forward for accurate prediction of splicing related disease-causing variants.

genomics↗

bioRxiv2021

Identifying proximal RNA interactions from cDNA-encoded crosslinks with ShapeJumper

SHAPE-JuMP is a concise strategy for identifying close-in-space interactions in RNA molecules. Nucleotides in close three-dimensional proximity are crosslinked with a bi-reactive reagent that covalently links the 2-hydroxyl groups of the ribose moieties. The identities of crosslinked nucleotides are determined using an engineered reverse transcriptase that jumps across crosslinked sites, resulting in a deletion in the cDNA that is detected using massively parallel sequencing. Here we introduce ShapeJumper, a bioinformatics pipeline to process SHAPE-JuMP sequencing data and to accurately identify through-space interactions. ShapeJumper identifies proximal interactions with near-nucleotide resolution using an alignment strategy that is optimized to tolerate the unique non-templated reverse-transcription profile of the engineered crosslink-traversing reverse-transcriptase. JuMP-inspired strategies are now poised to replace adapter-ligation for detecting RNA-RNA interactions in most crosslinking experiments.

bioinformatics↗

bioRxiv2021

To knot and not: Multiple conformations of the SARS-CoV-2 frameshifting RNA element

The SARS-CoV-2 frameshifting RNA element (FSE) is an excellent target for therapeutic intervention against Covid-19. This small gene element employs a shifting mechanism to pause and backtrack the ribosome during translation between Open Reading Frames 1a and 1b, which code for viral polyproteins. Any interference with this process has profound effect on viral replication and propagation. Pinpointing the structures adapted by the FSE and associated structural transformations involved in frameshifting has been a challenge. Using our graph-theory-based modeling tools for representing RNA secondary structures, "RAG" (RNA-As-Graphs), and chemical structure probing experiments, we show that the 3-stem H-type pseudoknot (3_6 dual graph), long assumed to be the dominant structure has a viable alternative, an HL-type 3-stem pseudoknot (3_3) for longer constructs. In addition, an unknotted 3-way junction RNA (3_5) emerges as a minor conformation. These three conformations share Stems 1 and 3, while the different Stem 2 may be involved in a conformational switch and possibly associations with the ribo-some during translation. For full-length genomes, a stem-loop motif (2_2) may compete with these forms. These structural and mechanistic insights advance our understanding of the SARS-CoV-2 frameshifting process and concomitant virus life cycle, and point to three avenues of therapeutic intervention.

biochemistry↗

bioRxiv2017

The structure of the influenza A virus genome

Influenza A viruses (IAVs) are segmented single-stranded negative sense RNA viruses that constitute a major threat to human health. The IAV genome consists of eight RNA segments contained in separate viral ribonucleoprotein complexes (vRNPs) that are packaged together into a single virus particle1,2. While IAVs are generally considered to have an unstructured single-stranded genome, it has also been suggested that secondary RNA structures are required for selective packaging of the eight vRNPs into each virus particle3,4. Here, we employ high-throughput sequencing approaches to map both the intra and intersegment RNA interactions inside influenza virions. Our data demonstrate that a redundant network of RNA-RNA interactions is required for vRNP packaging and virus growth. Furthermore, the data demonstrate that IAVs have a much more structured genome than previously thought and the redundancy of RNA interactions between the different vRNPs explains how IAVs maintain the potential for reassortment between different strains, while also retaining packaging selectivity. Our study establishes a framework towards further work into IAV RNA structure and vRNP packaging, which will lead to better models for predicting the emergence of new pandemic influenza strains and will facilitate the development of antivirals specifically targeting genome assembly.

microbiology↗