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Berner, A.

Publications and source records attributed to Berner, A..

10 recordsLinked to original sources

Dual Recognition Drives Site-Directed G-Quadruplex Stabilization: Exploring Oligonucleotide Design in G4 Ligand-Oligonucleotide Conjugates

G-quadruplex (G4) DNA structures are increasingly recognized for their roles in key cellular processes, including transcriptional regulation and genome stability, making them attractive therapeutic targets. Selective recognition of individual G4s remains challenging due to the high structural similarity among human G4 motifs. The G4 Ligand-conjugated Oligonucleotide strategy addresses this need by combining the G4-binding capabilities of small-molecule G4-ligands with the sequence specificity of an oligonucleotide complementary to the flanking region of the target G4. Here, we systematically explore how the oligonucleotide component governs G4 binding and stabilization by varying its length, backbone composition, and sequence complementarity. This revealed that efficient G4 recognition depends on a strong interdependence between hybridization and G4-ligand binding, such that both elements cooperatively reinforce complex stability and site specificity. Central mismatches disrupt this dual recognition and reduce selectivity. While longer oligonucleotides hybridize more slowly, they form more stable complexes and show stronger G4 stabilization in thermal melting and polymerase stop assays. Replacing the DNA oligonucleotide with peptide nucleic acid enhances binding strength, thermal stability, and metabolic stability, but selective G4 stabilization is achieved only upon ligand conjugation. Together, these results show how rational oligonucleotide design enables selective and potent recognition of G4 structures using GL-Os.

molecular biology↗

Redox-dependent dimerization of PolDIP2 and a conserved ApaG-domain motif required for CHCHD2 interaction

PolDIP2 is a multifunctional mitochondrial protein implicated in redox regulation, mitochondrial proteostasis, and diverse mtDNA-associated processes, yet the principles underlying its regulation remain unclear. Crystallographic analysis revealed that PolDIP2 forms a redox-dependent disulfide-linked homodimer via a conserved Cys143 residue within its N-terminal YccV-like domain, and cellular and in vitro assays confirmed that this residue is essential for dimer formation. Oxidative stress enhanced dimerization of endogenous and ectopically expressed PolDIP2, and dimers were detected exclusively within mitochondria, requiring proper mitochondrial import. WT and C143A PolDIP2 overexpression produced similarly modest effects on mtDNA replication in cells, suggesting that dimerization has limited impact on mtDNA-associated processes. Proteomic analysis and biochemical validation identified both previously known and not yet characterized mitochondrial interactors of PolDIP2, and highlighted CHCHD2 as a specific binding partner. A conserved glycine-rich motif in the C-terminal ApaG/DUF525-like domain proved essential for this interaction, and disruption of the motif enhanced Cys143-dependent dimerization while abolishing CHCHD2 association, which preferentially occurs with monomeric PolDIP2. These findings define redox-controlled dimerization and a conserved ApaG-domain motif as key structural features shaping PolDIP2s interaction state within mitochondria and provide a basis for exploring its roles in redox-sensitive mitochondrial pathways.

cell biology↗

The Y951N patient mutation inactivates the intramolecular switch in human mitochondrial DNA POLgamma

Mitochondrial DNA (mtDNA) stability, essential for cellular energy production, relies on DNA polymerase gamma (POL{gamma}). Here, we show that the POL{gamma} Y951N disease causing mutation induces replication stalling and severe mtDNA depletion. However, unlike other POL{gamma} disease causing mutations, Y951N does not directly impair exonuclease activity and only mildly affects polymerase activity. Instead, we found that Y951N compromises the enzymes ability to efficiently toggle between DNA synthesis and degradation, and is thus the first patient-derived mutation with impaired polymerase-exonuclease switching. These findings provide new insights into the intramolecular switch when POL{gamma} proofreads the newly-synthesized DNA strand, and reveal a new mechanism for causing mitochondrial DNA instability. Significance StatementDNA polymerase gamma (POL{gamma}) is essential for copying mitochondrial DNA (mtDNA), which is crucial for our energy production. POL{gamma} must accurately switch between making new DNA (polymerase activity) and correcting errors (exonuclease activity). While it is known that mutations in POL{gamma} can cause mitochondrial diseases by directly impairing these enzymatic functions, this study reveals a new mechanism. The Y951N mutation disrupts POL{gamma}s ability to switch between these activities, leading to severe blockages in DNA replication and a loss of mtDNA in human cells, even without significant direct impairment of polymerase or exonuclease activities. These findings provide new insights into the origins of mitochondrial diseases.

biochemistry↗

G4-Ligand Conjugated Oligonucleotides Mediate Selective Binding and Stabilization of Individual G4 DNA Structures

G-quadruplex (G4) DNA structures are prevalent secondary DNA structures implicated in fundamental cellular functions such as replication and transcription. Furthermore, G4 structures are directly correlated to human diseases such as cancer and have been highlighted as promising therapeutic targets for their ability to regulate disease-causing genes, e.g., oncogenes. Small molecules that bind and stabilize these structures are thus valuable from a therapeutic perspective and helpful in studying the biological functions of G4 structures. However, there are hundreds of thousands of G4 DNA motifs in the human genome, and a longstanding problem in the field is how to achieve specificity amongst these different G4 structures. Here, we have developed a strategy to selectively target an individual G4 DNA structure. The strategy is based on a ligand that binds and stabilizes G4s without selectivity, conjugated to a guide oligonucleotide, that specifically directs the G4 Ligand conjugated Oligo (GL-O) to the single target G4 structure. By employing various biophysical and biochemical techniques, we show that the developed method enables the targeting of a unique, specific G4 structure without impacting other off-target G4 formations. Considering the vast amounts of G4s in the human genome, this represents a promising strategy to study the presence and functions of individual G4s but may also hold potential as a future therapeutic modality.

biochemistry↗

Enhanced mitochondrial G-quadruplex formation impedes replication fork progression leading to mtDNA loss in human cells

Mitochondrial DNA (mtDNA) replication stalling is considered an initial step in the formation of mtDNA deletions that associate with genetic inherited disorders and aging. However, the molecular details of how stalled replication forks lead to mtDNA deletions accumulation are still unclear. Mitochondrial DNA deletion breakpoints preferentially occur at sequence motifs predicted to form G-quadruplexes (G4s), four-stranded nucleic acid structures that can fold in guanine-rich regions. Whether mtDNA G4s form in vivo and their potential implication for mtDNA instability is still under debate. In here, we developed new tools to map G4s in the mtDNA of living cells. We engineered a G4-binding protein targeted to the mitochondrial matrix of a human cell line and established the mtG4-ChIP method, enabling the determination of mtDNA G4s under different cellular conditions. Our results are indicative of transient mtDNA G4 formation in human cells. We demonstrated that mtDNA-specific replication stalling increases formation of G4s, particularly in the major arc. Moreover, elevated levels of G4 block the progression of the mtDNA replication fork and cause mtDNA loss. We conclude that stalling of the mtDNA replisome enhances mtDNA G4 occurrence, and that G4s not resolved in a timely manner can have a negative impact on mtDNA integrity.

cell biology↗

Phenotypic plasticity and genetic control in colorectal cancer evolution

Cancer evolution is driven by natural selection acting upon phenotypic trait variation. However, the extent to which phenotypic variation within a tumour is a consequence of intra-tumour genetic heterogeneity remains undetermined. Here we show that colorectal cancer cells frequently have highly plastic phenotypic traits in vivo in patient tumours. We measured the degree to which trait variation reflects genetic ancestry by quantifying the phylogenetic signal of gene expression across 297 samples with multi-region paired whole genome and transcriptome sequencing collected from 27 primary colorectal cancers. Within-tumour phylogenetic signal for genes and pathways was detected only infrequently, suggesting that the majority of intra-tumour variation in gene expression programmes was not strongly heritable. Expression quantitative trait loci analyses (eQTL) identified a small number of putative mechanisms of genetic control of gene expression due to the cis-acting coding, non-coding and structural genetic alteration, but most gene expression variation was not explained by our genetic analysis. Leveraging matched chromatin-accessibility sequencing data, enhancer mutations with cis regulatory effects on gene expression were associated with a change in chromatin accessibility, indicating that non-coding variation can have phenotypic consequence through modulation of the 3D architecture of the genome. This study maps the evolution of transcriptional variation during cancer evolution, highlighting that intra-tumour phenotypic plasticity is pervasive in colorectal malignancies, and may play key roles in further tumour evolution, from metastasis to therapy resistance.

cancer biology↗

Assessment of the evolutionary consequence of putative driver mutations in colorectal cancer with spatial multiomic data

Cancer genomic medicine relies on targeting driver genes. However, current catalogues of cancer drivers are mostly based on indirect measurements of mutation frequencies, positions or types, rather than their effect on clonal expansions in vivo. Moreover, non-genetic drivers are largely unknown, as are the epigenetic and transcriptomic effects of genetic drivers. Here we perform spatial computational inference on multiomic data with matched whole-genome sequencing, ATAC-seq and RNA-seq. Using 436 samples, we directly quantify the contribution, or lack thereof, of putative driver genes to subclonal expansions in vivo in 30 colorectal carcinomas (4-33 samples per patient, median=15). Although subclonal neutral evolution was widespread (13/26 cases with sufficient data), there were cases with clear evidence of subclonal selection (6/26) in which we measured epigenetic and transcriptomic differences between subclones in vivo. In 7/26 cases we could not distinguish between neutral or selective evolution with the available data. We identified expanding subclones that were not driven by known genetic alterations, and propose candidate epigenetic drivers. We identified the distinguishing patterns of genomic heterogeneity produced in fast, exponentially growing tumours (7/26) versus neoplasms growing only at the periphery (19/26), as well as identifying clonally intermixed (16/28 cases with sufficient data) versus segregated malignancies (10/28). Our model-based approach measures genetic and non-genetic subclonal selection, or lack thereof, in space and time and allows in vivo comparisons of the emergent phenotypic properties of subclones within human tumours.

cancer biology↗

The co-evolution of the genome and epigenome in colorectal cancer

Colorectal malignancies are a leading cause of cancer death. Despite large-scale genomic efforts, DNA mutations do not fully explain malignant evolution. Here we study the co-evolution of the genome and epigenome of colorectal tumours at single-clone resolution using spatial multi-omic profiling of individual glands. We collected 1,373 samples from 30 primary cancers and 9 concomitant adenomas and generated 1,212 chromatin accessibility profiles, 527 whole-genomes and 297 whole-transcriptomes. We found positive selection for DNA mutations in chromatin modifier genes and recurrent chromatin changes in regulatory regions of cancer drivers with otherwise no mutation. Genome-wide alterations in transcription factor binding accessibility involved CTCF, downregulation of interferon, and increased accessibility for SOX and HOX, indicating developmental genes reactivation. Epigenetic aberrations were heritable, distinguishing adenomas from cancers. Mutational signature analysis showed the epigenome influencing DNA mutation accumulation. This study provides a map of (epi)genetic tumour heterogeneity, with fundamental implications for understanding colorectal cancer biology.

cancer biology↗

Reconstruction of Contemporary Human Stem Cell Dynamics with Oscillatory Molecular Clocks

Molecular clocks record cellular ancestry. However, currently used clocks tick too slowly to measure the short-timescale dynamics of cellular renewal in adult tissues. Here we develop rapidly oscillating DNA methylation clocks where ongoing (de)methylation causes the clock to tick-tock back-and-forth between methylated and unmethylated states like a pendulum. We identify oscillators using standard methylation arrays and develop a mathematical modelling framework to quantitatively measure human adult stem cell dynamics from these data. Small intestinal crypts were inferred to contain slightly more stem cells than colon (6.5 {+/-} 1.0 vs 5.8 {+/-} 1.7 stem cells/crypt) with slower stem cell replacement in small intestine (0.79 {+/-} 0.5 vs 1.1 {+/-} 0.8 replacements/stem cell/year). Germline APC mutation increased the number of replacements per crypt (13.0 {+/-} 2.4 replacements/crypt/year vs 6.9 {+/-} 4.6 for healthy colon). In blood, we measure rapid expansion of acute leukaemia and slower growth of chronic disease. Rapidly oscillating molecular clocks are a new methodology to quantitatively measure human somatic cell dynamics.

bioinformatics↗

The Personal Genome Project-UK: an open access resource of human multi-omics data

Integrative analysis of multi-omics data is a powerful approach for gaining functional insights into biological and medical processes. Conducting these multifaceted analyses on human samples is often complicated by the fact that the raw sequencing output is rarely available under open access. The Personal Genome Project UK (PGP-UK) is one of few resources that recruits its participants under open consent and makes the resulting multi-omics data freely and openly available. As part of this resource, we describe the PGP-UK multi-omics reference panel consisting of ten genomic, methylomic and transcriptomic data. Specifically, we outline the data processing, quality control and validation procedures which were implemented to ensure data integrity and exclude sample mix-ups. In addition, we provide a REST API to facilitate the download of the entire PGP-UK dataset. The data are also available from two cloud-based environments, providing platforms for free integrated analysis. In conclusion, the genotype-validated PGP-UK multi-omics human reference panel described here provides a valuable new open access resource for integrated analyses in support of personal and medical genomics.

bioinformatics↗