Biology subjects

Dahlen, A.

Publications and source records attributed to Dahlen, A..

6 recordsLinked to original sources

bioRxiv2026

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↗

bioRxiv2025

Artemis Regulates Homology-Independent Prime Editing (PRINS) for Enhanced Genomic Insertions

Nuclease-based prime editing (PEn) offers enhanced genomic insertion efficiency compared to nickase-based prime editors, but its reliance on double-strand break (DSB) repair leads to complex and often unpredictable on-target indel distributions. PRINS editing, a PEn variant utilizing springRNAs, uniquely relies on non-homologous end joining (NHEJ) for insertions, providing an insertion-only strategy ideal for functional protein tagging or serine integrase landing pad insertions, yet it suffers from inherent imprecision. Here, we identify the DNA repair factor Artemis (DCLRE1C) as a key regulator of PEn-generated indel profiles, particularly in springRNA-mediated PRINS editing. Through a targeted genetic screen, we show that the absence of Artemis significantly shifts indel distributions away from deletions and shorter truncations towards longer, functionally acceptable insertions. Our data indicates that Artemis cleaves PEn-generated 3-overhangs in a length-dependent manner, with its impact increasing for longer reverse-transcribed overhangs. This understanding reveals that regulating Artemis activity can improve insertion frequency specifically for PRINS. We develop and validate robust epigenetic (CRISPRoff) and antisense oligonucleotide (ASO) strategies to effectively silence/knockdown Artemis expression, successfully recapitulating the beneficial PRINS editing outcomes observed in Artemis-deficient cells. Leveraging these insights, we show that Artemis modulation can enhance endogenous protein tagging in cells, including challenging hiPSC-derived non-dividing cardiomyocytes. Our findings support Artemis as a key regulator of PRINS editing outcomes and present a tunable strategy to optimize insertion efficiency for diverse genomic engineering and therapeutic applications.

molecular biology↗

bioRxiv2022

Sampling bias in large healthcare claims databases

Healthcare claims databases that aggregate claims from multiple commercial insurers are increasingly being used to generate real-world evidence. These databases represent a non-random sample of the underlying population, but often little attention is paid to the inherent sampling bias within the data, and how it might affect results. As an illustrative example, we characterize variation in sampling in Optum's de-identified Clinformatics Data Mart Database (CDM) at the zip-code level in 2018, and identify socioeconomic and demographic factors associated with inclusion.

bioinformatics↗

bioRxiv2022

Achieving quantitative and accurate measurement of the human gut microbiome

Robust benchmarking studies have highlighted how measured relative microbial abundances can vary dramatically depending on how DNA is extracted, made into libraries, sequenced, and analyzed. To build upon prior research, we investigated how sample preservation and storage choices impact observed absolute microbial load and relative metagenomic and metatranscriptomic measurements. Specifically, we studied how two common stool preservatives (OMNIgene GUT OMR200 and Zymo DNA/RNA PowerShield) perform across a range of storage temperatures (-80{degrees}C, 23{degrees}C and 40{degrees}C). For immediately frozen samples with no preservatives, we observed a mean colonic load of [~]100 trillion (1.2 x 1014) prokaryotes across ten donors, revising the gut prokaryote:human cell ratio of [~]1:1 to [~]4:1. We found that both preservatives introduce significant bias in the metagenomics results; and, while OMNIgene results were robust to storage temperature, samples stored in Zymo preservative had further bias with increasing storage temperatures. In terms of measured composition, we observed a [~]1.9x and [~]1.5x difference in the metagenomic Bacteroidetes:Firmicutes ratio in OMNIgene and Zymo preservatives, respectively. Absolute abundance measurements revealed that these differences are driven by higher measured Bacteroidetes in OMNIgene-preserved samples and lower measured Firmicutes in Zymo-preserved samples. For metatranscriptomic measurements, we also found that both preservatives introduced bias, but that RNA likely degraded in samples stored in OMNIgene preservative at high temperature. In summary, we recommend the OMNIgene preservative for studies that include significant field components. For metatranscriptomics studies, we recommend kits rated for RNA preservation such as the Zymo kit; however, existing samples collected in non-RNA rated kits might also be viable for limited metatranscriptomic studies. This study demonstrates how sample collection and storage choices can affect measured microbiome research outcomes, makes additional concrete suggestions for sample handling best practices, and demonstrates the importance of including absolute abundance measurements in microbiome studies.

microbiology↗

bioRxiv2020

Endosomal escape of delivered mRNA from endosomal recycling tubules visualized at the nanoscale

Delivery of exogenous mRNA using lipid nanoparticles (LNP) is a promising strategy for therapeutics. However, a bottleneck remains the poor understanding of the parameters that correlate with endosomal escape vs. cytotoxicity. To address this problem, we compared the endosomal distribution of six LNP-mRNA formulations of diverse chemical composition and efficacy, similar to those employed in mRNA-based vaccines, in primary human adipocytes, fibroblasts and HeLa cells. Surprisingly, we found that total uptake is not a sufficient predictor of delivery and different LNP vary considerably in endosomal distributions. Prolonged uptake impaired endosomal acidification, a sign of cytotoxicity, and caused mRNA to accumulate in compartments defective in cargo transport and unproductive for delivery. In contrast, early endocytic/recycling compartments have the highest probability for mRNA escape. By super-resolution microscopy we could resolve single LNP-mRNA within sub-endosomal compartments and capture events of mRNA escape from endosomal recycling tubules. Our results change the view of the mechanisms of endosomal escape and define quantitative parameters to guide the development of mRNA formulations towards higher efficacy and lower cytotoxicity.

bioengineering↗

bioRxiv2020

Stealth fluorescence labeling for live microscopy imaging of mRNA delivery

Methods for tracking of RNA molecules inside living cells are critical to probe their dynamics and biological functions, but also to monitor delivery of therapeutic RNA. We here describe a method for fluorescence labeling of RNAs of any length, via the enzymatic incorporation of the minimally perturbing and intrinsically fluorescent tricyclic cytosine analogue tCO. Using this approach, we demonstrate incorporation of tCO in up to 100% of all natural cytosine positions of a 1.2 kb mRNA encoding for the histone H2B fused to GFP (H2B:GFP). The resulting transcript is fully compatible with both in vitro transcription and subsequent in cell translation. Spectroscopic characterization of the in vitro transcribed mRNA, shows that the incorporation rate of tCO is on par with cytosine, facilitating efficient labeling and controlled tuning of labeling ratios for different applications. Using live cell confocal microscopy and flow cytometry, we show that the tCO-labeled mRNA is efficiently and correctly translated into H2B:GFP upon electroporation as well as lipid-mediated transfection of human Huh-7 cells; correct translation was further confirmed in cell-free systems. Importantly, the spectral properties of the tCO-modified transcripts and their translation product, in this case H2B:GFP, allow for their straightforward and simultaneous visualization in live cells.Competing Interest StatementAnders Dahlen is an employee of AstraZeneca and may hold shares in the company.View Full Text

biochemistry↗