Biology subjects

Chorell, E.

Publications and source records attributed to Chorell, E..

9 recordsLinked to original sources

bioRxiv2026

Selective Stabilization of HRAS2 i-Motif DNA by TMPyP4: A Multimodal Biophysical and Thermodynamic Investigation

I-motif (iM) DNA structures, formed by cytosine-rich sequences, are increasingly acknowledged for their involvement in gene regulation, maintenance of genomic stability, and their emerging potential as therapeutic targets, particularly in cancer. Despite their biological relevance, the discovery of selective small-molecule probes that can specifically recognize and interact with iM DNA remains an ongoing challenge. In this study, we have used TMPyP4 and screened for its ability to bind various iM DNA constructs, including HRAS1, HRAS2, VEGF, CMYC, CKIT and H-Telo. Structure-activity relationship analyses revealed that specific substitution patterns conferred selectivity towards HRAS2 iM target. Comprehensive spectroscopic investigations, including UV-Vis absorption, steady-state and time-resolved fluorescence, and fluorescence anisotropy, uncovered key photophysical signatures of binding, including significant hypochromic and bathochromic shifts, enhanced fluorescence emission, and prolonged fluorescence lifetimes. Circular dichroism (CD),thermal denaturation (UV-melting) and thermodynamic investigations confirmed that TMPyP4 effectively stabilized the HRAS2 iM structures without disrupting their native topologies. Meanwhile, FT-IR spectroscopy revealed local structural rearrangements upon TMPyP4 binding, offering further evidence of molecular interaction. Collectively, these findings provide valuable insights into the molecular recognition of iM DNA by TMPyP4 and highlight its promise as both selective HRAS2 iM-binding agent and responsive fluorescent probe. This work lays a strong foundation for the development of novel tools for studying iM structures in biological systems and for designing future therapeutics targeting iM DNA in cancer and related diseases.

biophysics↗

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↗

bioRxiv2026

Structural similarities of molecules selectively binding the prfA thermosensor RNA

In light of the "silent" AMR pandemic, new avenues to combat pathogenic bacteria are needed. In this work, we screened a large molecule library (n=35 684 unique compounds) with the aim of identifying molecules being able to bind and block translation of the prfA-thermosensor transcript in the bacterial pathogen Listeria monocytogenes. Using a thiazole-orange displacement approach, 468 ([~]1.3% of all molecules) showed the ability to reduce fluorescence. After dose response testing, 32 compounds remained promising and eight of them showed sufficient purity and availability to be further validated. Interestingly, four compounds, being structurally very similar, showed specificity for prfA at a varying degree. All four compounds carried 3 aromatic rings with one connecting amine between two of the rings and an amide linking an aliphatic amine side chain. The most selective compounds, M5, showed a Kd of [~]0.8 {micro}M for the prfA RNA at 35{degrees}C. However, none of the eight most efficient compounds were able to inhibit prfA translation in vitro, suggesting that the molecules are able to bind but not affect the stability of the overall structure. Through this work, we have been able to identify a set of molecules, able to bind the prfA thermosensor RNA selectively, but without affecting translation. These molecules could constitute an important scaffold for further drug development.

microbiology↗

bioRxiv2023

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↗

bioRxiv2022

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↗

bioRxiv2022

High throughput screen in a co-culture model to uncover therapeutic strategies to potentiate the cancer-inhibiting properties of the tumor-stroma in pancreatic cancer

Pancreatic stellate cells (PSCs) differentiate into multiple subtypes of cancer associated fibroblasts (CAFs) that modulate disease progression in pancreatic ductal adenocarcinoma (PDAC). CAF subtypes demonstrate functional heterogeneity in tumor development, with conflicting consequences for disease progression. Here, we show that myofibroblastic CAFs (myCAFs), but not inflammatory CAFs (iCAFs), can act to restrain tumor cell growth in an in vitro PDAC model of tumor organoids co-cultured with PSCs. Inhibiting myCAF formation by TGF-{beta} pathway inhibition improved tumor organoid growth, indicating that manipulating the balance of CAF subtypes may be exploited as a therapeutic approach. We therefore conducted a high throughput screen of approximately 36,000 compounds on the co-culture model to find novel compounds to inhibit PDAC tumor cell growth via CAF manipulation. We identify a new role for GNF-5, a known Abelson tyrosine kinase (Abl) inhibitor, in the context of PDAC as a compound that inhibits tumor cell growth in co-culture; an effect that was accompanied by an induction of the myCAF phenotype around tumor organoids. This highlights the therapeutic potential of novel therapies targeting specific CAF subtypes in PDAC.

cancer biology↗

bioRxiv2021

Towards customized studies of G-quadruplex DNA structures in live cells

G-quadruplex (G4) DNA structures are implicated in central biological processes and are considered promising therapeutic targets because of their links to human diseases such as cancer. However, functional details of how, when, and why G4 DNA structures form in vivo are largely missing leaving a knowledge gap that requires tailored chemical biology studies in relevant live-cell model systems. Towards this end, we developed a synthetic platform centered around one of the most effective and selective G4 stabilizing compounds, Phen-DC3. We used a structure-based design to equip Phen-DC3 with an amine in a position that does not interfere with G4 interactions. To evaluate the power of the approach, we next used this reactive handle to conjugate a BODIPY fluorophore and a cell-penetrating peptide to Phen-DC3. The BODIPY conjugation generated a fluorescent derivative with retained G4 selectivity, G4 stabilization, and cellular effects that revealed the localization and function of Phen-DC3 in human cells. On the other hand, the cell-penetrating peptide conjugation, while retaining G4 selectivity and stabilization, increased nuclear localization and cellular effects, showcasing the potential of this approach to modulate and direct cellular uptake e.g. as delivery vehicles. The developed platform can thus generate tailored biochemical tools for the studies of G4 biology to uncover molecular details and therapeutic approaches.

cell biology↗

bioRxiv2020

Branched-Chain Amino Acid Metabolism is Regulated by ERRα and is Further Impaired by Glucose Loading in Type 2 Diabetes

Aims/hypothesisIncreased levels of branched-chain amino acids (BCAAs) are associated with type 2 diabetes pathogenesis. However, most metabolomic studies are limited to an analysis of plasma metabolites under fasting conditions, rather than the dynamic shift in response to a metabolic challenge. Moreover, metabolomic profiles of peripheral tissues involved in glucose homeostasis are scarce and the transcriptomic regulation of genes involved in BCAA catabolism is partially unknown. This study aimed to identify differences in circulating and skeletal muscle BCAA levels in response to an OGTT in individuals with normal glucose tolerance (NGT) or type 2 diabetes. Additionally, transcription factors involved in the regulation of the BCAA gene set were identified. MethodsPlasma and vastus lateralis muscle biopsies were obtained from individuals with NGT or type 2 diabetes before and after an OGTT. Plasma and quadriceps muscles were harvested from skeletal muscle-specific PGC-1 knockout and transgenic mice. BCAA-related metabolites and genes were assessed by LC-MS/MS and RT-PCR, respectively. Small interfering RNA and adenovirus-mediated overexpression techniques were used in primary human skeletal muscle cells to study the role of PGC-1A and ESRRA in the expression of the BCAA gene set. Radiolabeled leucine was used to analyze the impact of ERR knockdown on leucine oxidation. ResultsImpairments in BCAA catabolism in people with type 2 diabetes under fasting conditions were exacerbated after a glucose load. Branched-chain keto acids were reduced 37-56% after an OGTT in the NGT group, whereas no changes were detected in individuals with T2D. These changes were concomitant with a stronger correlation with glucose homeostasis biomarkers and downregulated expression of BCAT2, BCKDH complex subunits and 69% of downstream BCAA-related genes in skeletal muscle. In primary human myotubes overexpressing PGC-1, 61% of the analyzed BCAA genes were upregulated, while 67% were downregulated in the quadriceps of skeletal muscle-specific PGC-1 knockout mice. ESRRA (encoding estrogen-related receptor , ERR) silencing completely abrogated the PGC-1-induced upregulation of BCAA-related genes in primary human myotubes. Conclusions/interpretationMetabolic inflexibility in type 2 diabetes impacts BCAA homeostasis and attenuates the decrease of circulating and skeletal muscle BCAA-related metabolites after a glucose challenge. Transcriptional regulation of BCAA genes in primary human myotubes via a PGC-1 is ERR-dependent. Research in contextO_ST_ABSWhat is already known about this subject?C_ST_ABSO_LICirculating levels of BCAA are elevated in type 2 diabetes. C_LIO_LIPGC-1 is involved in the transcription of the BCAA gene set. C_LI What is the key question?O_LIDoes metabolic inflexibility associated with type 2 diabetes encompass BCAA homeostasis and PGC-1 mediated transcription of the BCAA gene set? C_LI What are the new findings?O_LIBCAA homeostasis is further compromised by a glucose challenge in type 2 diabetes. C_LIO_LIAn OGTT reveals coordinated regulation between BCAA metabolites, blood glucose, and HbA1c levels. C_LIO_LIERR is essential for PGC-1-mediated BCAA gene expression in primary human myotubes. C_LI How might this impact on clinical practice in the foreseeable future?O_LIAn OGTT can be used to underscore impairments in BCAA metabolism. These findings suggest that interventions targeting the PGC-1/ ERR axis may improve BCAA homeostasis. C_LI

physiology↗

bioRxiv2018

Statistical loadings and latent significance simplify and improve interpretation of multivariate projection models

Multivariate projection methods are unique in being both multivariable by combining many variables into stronger predictive features (latent variables), and multivariate for being able to model systematic variation both related and orthogonal to an observed response. Orthogonal partial least squares (OPLS) is a versatile multivariate projection method for analysis of correlation, discrimination and effect changes. However, currently OPLS is not fully using its multivariate potential since orthogonal systematic variation is not considered in model interpretation, resulting in univariate interpretation of variable significance. We present a strategy for improved interpretation of OPLS models based upon a post-hoc linear regression analysis that can be used with or without the orthogonal OPLS score(s) as a covariate to make the interpretation multivariate or univariate respectively. By selecting the observed response y or estimated response yhat as a one of the factors in the linear regression the results are related to either of the OPLS loadings w or p. Furthermore, converting the OPLS loading values to statistical t-values creates a direct link to statistical significance. Finally, by applying three different Boolean loadings W, P and W{wedge}P variable significance can be summarized based on three criteria. W and P reveal if the values in w or p respectively are outside the statistical limits with W{wedge}P being the logical conjunction of W and P (significant if outside limits in both W and P). Two examples are used to verify the proposed strategy. First, a synthetic example, simulating a mix of mass spectra, and second a clinical metabolomics study of a dietary intervention. In the simulated example we show that multivariate interpretation gives higher accuracy for estimation of true differences, mainly due to higher true positive rate. Furthermore, we highlight how application of W{wedge}P for summarizing variable significance leads to higher accuracy. For the metabolomics example, we show that a more detailed interpretation, i.e. larger number of significant metabolites of relevance, is obtained using the multivariate interpretation. In summary, the suggested strategy provides means for facilitated interpretation of OPLS models, beyond univariate statistics, and offers a multivariate tool for discovery of biomarker patterns, i.e. latent biomarkers.

bioinformatics↗