Biology subjects

Sundaram, V.

Publications and source records attributed to Sundaram, V..

8 recordsLinked to original sources

bioRxiv2026

Increased EV yield and bioactivity of matrix-bound nanovesicles compared to conditioned culture medium-derived extracellular vesicles

Aim: Extracellular vesicles (EVs) are nanoparticles secreted by cells for cell-cell communication functions, such as wound repair, but low yields often limit their use. Several isolation methods have been explored to increase EV yield from conditioned culture medium (liquid-EVs); however, few studies compare isolation techniques and yield between liquid-EVs and matrix-bound nanovesicles (MBVs), a novel EV subtype embedded within the extracellular matrix. Methods: We isolate liquid-EVs and MBVs from mesenchymal stem cells (MSC) using size exclusion chromatography (SEC) and ultracentrifugation (UC) across various timepoints (14, 21, 24, 30 days). EVs are characterized by their yield, size, morphology, protein concentration, surface marker expression (CD9, CD81, ALIX), zeta potential, and influence on fibroblast wound closure. Results: We find that isolation method influences yield, where both SEC isolated liquid-EVs and MBVs yield higher particle counts and protein compared to UC. Interestingly, we find that regardless of isolation method, MBVs have a significantly higher yield than liquid-EVs from the same culture (15.6-fold higher using UC and 7.49-fold higher using SEC). Culturing for 24 days yielded the greatest number of MBV particles and protein. We performed a fibroblast scratch assay to assess bioactivity and found that liquid-EVs decreased wound closure compared to a medium control, whereas MBVs did not. Conclusion: Our work suggests SEC maximizes particle and protein yields for MSC-EVs. By achieving much higher yields of MBVs compared to liquid-EVs, and their promise as a wound repair strategy, we offer an alternative EV choice when EV yields are an issue towards translation.

bioengineering↗

bioRxiv2026

A Multicenter Confirmatory Randomized-Controlled Study of rhNRGβ1 Protein Replacement Therapy in a Murine Model of NF2-related Schwannomatosis

BackgroundPrevious exploratory studies identified recombinant human Neuregulin-1 {beta} (rhNRG{beta}1) as a promising therapeutic strategy for inhibiting the growth of Nf2-deficient schwannomas by promoting cellular differentiation. Because robust confirmation across independent laboratories is essential for advancing promising preclinical findings toward clinical translation, we conducted a multicenter, randomized, controlled confirmatory study under stringent preclinical standards. MethodsIn a pre-registered trial (DOI: 10.17590/asr.0000304), 216 mice (Nf2-flox;P0-Cre;Nefh- Cre) were randomized at three independent research sites. Following a standardized sciatic nerve crush, mice received systemic rhNRG{beta}1 (10 {micro}g/kg) or vehicle for 13 weeks. Rigorous quality measures included double-blinding, standardized surgery, centralized data management, and an automated Fiji macro for objective nerve thickness quantification (Primary Outcome). Secondary molecular outcomes included Western blot and in-depth, quantitative proteomics and phosphoproteomics. All methods were SOP-based for reproducible and comparable results across the three study centers ResultsThe primary confirmatory analysis revealed no reduction in nerve thickness in the rhNRG{beta}1 group (pbest case imputation = 0.076 and pworst case imputation = 0.533). Secondary analyses via quantitative Western blotting and DIA proteomics demonstrated that core biochemical markers of Schwann cell differentiation (MBP, ERBB2) remained unchanged across all centers. Based on the absence of macroscopic or primary biochemical effects, further histological analysis was omitted to avoid scientific redundancy. High-depth profiling of a predefined 60-protein functional marker panel confirmed a remarkably stable tumor proteome across all replication sites and both sexes, with no evidence of coordinated changes in key downstream oncogenic signaling pathways (Hippo/YAP, mTORC1, and RTK-Ras-MAPK) or metabolic signaling cascades. These findings indicate an absence of measurable target engagement under our tested dosing regimen, potentially reflecting pharmacokinetic or tissue-delivery limitations rather than an invalidation of the underlying biological pathway. ConclusionDespite high statistical power and rigorous methodology, this study could not confirm rhNRG{beta}1 as a robust therapeutic candidate for schwannoma growth arrest or shrinkage. These findings suggest that previously reported therapeutic effects were either highly context- dependent or could not be reproduced under adequately powered, rigorously controlled experimental conditions. As underpowered preclinical studies are more susceptible to random biological variation, our results highlight the importance of sufficient sample sizes alongside robust experimental design. Our study underscores the value of trial-like methodological standards in preclinical therapeutic evaluation to identify ineffective interventions (dead ends) early and strengthen translational decision-making. Although we could not confirm the previously reported efficacy of rhNRG{beta}1, the multicenter framework established here provides a methodological benchmark for robust preclinical testing in translational oncology, with the potential to improve reproducibility and the success of therapies progressing to early-phase clinical trials. From a translational perspective, these findings provide a robust foundation for optimizing future rhNRG{beta}1-based therapeutic approaches through improved dosing, delivery routes, and treatment schedules.

cancer biology↗

bioRxiv2025

Germline and somatic variation influence nuclear-mitochondrial crosstalk in tumourigenesis

Hepatocellular carcinoma is the most prevalent primary liver cancer and arises from hepatocytes, which are very metabolically active and contain abundant mitochondria. Despite extensive characterisation of nuclear driver genes and pathways, the role of crosstalk between the mitochondrial and nuclear genomes in mitochondrial mutagenesis remains poorly understood. To address this, we leveraged a chemical carcinogenesis model of liver cancer in four mouse strains. We analysed hundreds of tumours with paired whole-genome sequencing and total RNA sequencing to comprehensively characterise mitochondrial mutations and expression. Following de novo assembly of strain-specific mitochondrial genomes, we devised an accurate and efficient heteroplasmy detection approach and analysed mitochondrial DNA (mtDNA) content and transcription. Across strains, there was high concordance of the number of heteroplasmies, mutation signatures, and variant allele frequencies. In contrast, the heteroplasmy rate and genic locations differed between strains, suggesting strain-specificity in DNA repair mechanisms in early tumour development. Independent of age or environmental factors, tumours had lower mtDNA content than adjacent normal liver, suggesting mitochondrial loss during tumourigenesis. Additionally, within individual strains, mtDNA content differences were associated with nuclear driver gene choice. Our comprehensive characterisation of mitochondrial genomes and expression patterns demonstrates that both germline and somatic genetic variation influence tumour mtDNA content, mutation patterns, and gene expression.

cancer biology↗

bioRxiv2025

Genetic background sets the trajectory of cancer evolution

Human cancers are heterogeneous. Their genomes evolve from genetically diverse germlines in complex and dynamic environments, including exposure to potential carcinogens. This heterogeneity of humans, our environmental exposures, and subsequent tumours makes it challenging to understand the extent to which cancer evolution is predictable. Addressing this limitation, we re-ran early tumour evolution hundreds of times in diverse, inbred mouse strains, capturing genetic variation comparable to and beyond that found in human populations. The sex, environment, and carcinogenic exposures were all controlled and tumours comprehensively profiled with whole genome and transcriptome sequencing. Within a strain, there was a high degree of consistency in the mutational landscape, a limited range of driver mutations, and all strains converged on the acquisition of a MAPK activating mutation with similar transcriptional disruption of that pathway. Despite these similarities in the phenotypic state of tumours, different strains took markedly divergent paths to reach that state. This included pronounced biases in the precise driver mutations, the strain specific occurrence of whole genome duplication, and differences in subclonal selection that reflected both cancer susceptibility and tumour growth rate. These results show that interactions between the germline genome and the environment are highly deterministic for the trajectory of tumour genome evolution, and even modest genetic divergence can substantially alter selection pressures during cancer development, influencing both cancer risk and the biology of the tumour that develops.

genomics↗

bioRxiv2023

Boronic acid derivative inhibits LexA mediated SOS response in Mycobacteria

Antimicrobial resistance (AMR) properties of several pathogens pose as one of the major global concerns demanding continuous innovation in order to be controlled. The bacterial "SOS" response, regulated by LexA and RecA, contributes to AMR through advantageous mutations. Therefore, targeting LexA/RecA system with a novel inhibitor could suppress "SOS" response and may reduce AMR. However, RecA presents a challenge as a therapeutic target due to its conservation across species, including humans. Concurrently, LexA, being absent in eukaryotes, can be potentially targeted, in part, due to its association with "SOS" response and developing AMR. Our studies combining bioinformatic, biochemical, biophysical, and cell-based assays present a unique inhibitor of mycobacterial "SOS" response wherein we show that the inhibitor interacts directly with the catalytic site residues of LexA of Mycobacterium tuberculosis (Mtb), consequently hindering its cleavage, resulting in suppression of "SOS" response. We observed important genes under the "SOS" regulon to be down-regulated in the presence of the inhibitor along with a consequent reduction in the rate of mutation frequency of mycobacterial cells. In essence, this study may facilitate further research on potential LexA inhibitors, reducing mutational rates and offering promise in mitigating AMR.

microbiology↗

bioRxiv2022

Strand-resolved mutagenicity of DNA damage and repair

DNA base damage is a major source of oncogenic mutations1. Such damage can produce strand-phased mutation patterns and multiallelic variation through the process of lesion segregation2. Here, we exploited these properties to reveal how strand-asymmetric processes, such as replication and transcription, shape DNA damage and repair. Despite distinct mechanisms of leading and lagging strand replication3,4, we observe identical fidelity and damage tolerance for both strands. For small DNA adducts, our results support a model in which the same translesion polymerase is recruited on-the-fly to both replication strands, starkly contrasting the strand asymmetric tolerance of bulky adducts5. We find that DNA damage tolerance is also common during transcription, where RNA-polymerases frequently bypass lesions without triggering repair. At multiple genomic scales, we show the pattern of DNA damage induced mutations is largely shaped by the influence of DNA accessibility on repair efficiency, rather than gradients of DNA damage. Finally, we reveal specific genomic conditions that can corrupt the fidelity of nucleotide excision repair and actively drive oncogenic mutagenesis. These results provide insight into how strand-asymmetric mechanisms underlie the formation, tolerance, and repair of DNA damage, thereby shaping cancer genome evolution.

genomics↗

bioRxiv2022

Evolution of transposable element-derived enhancer activity

Many transposable elements (TEs) contain transcription factor binding sites and are implicated as potential regulatory elements. However, TEs are rarely functionally tested for regulatory activity, which in turn limits our understanding of how TE regulatory activity has evolved. We systematically tested the human LTR18A subfamily for regulatory activity using massively parallel reporter assay (MPRA) and found AP-1 and C/EBP-related binding motifs as drivers of enhancer activity. Functional analysis of evolutionarily reconstructed ancestral sequences revealed that LTR18A elements have generally lost regulatory activity over time through sequence changes, with the largest effects occurring due to mutations in the AP-1 and C/EBP motifs. We observed that the two motifs are conserved at higher rates than expected based on neutral evolution. Finally, we identified LTR18A elements as potential enhancers in the human genome, primarily in epithelial cells. Together, our results provide a model for the origin, evolution, and co-option of TE-derived regulatory elements.

genetics↗

bioRxiv2019

Pervasive lesion segregation shapes cancer genome evolution

Cancers arise through the acquisition of oncogenic mutations and grow through clonal expansion1, 2. Here we reveal that most mutagenic DNA lesions are not resolved as mutations within a single cell-cycle. Instead, DNA lesions segregate unrepaired into daughter cells for multiple cell generations, resulting in the chromosome-scale phasing of subsequent mutations. We characterise this process in mutagen-induced mouse liver tumours and show that DNA replication across persisting lesions can generate multiple alternative alleles in successive cell divisions, thereby increasing both multi-allelic and combinatorial genetic diversity. The phasing of lesions enables the accurate measurement of strand biased repair processes, the quantification of oncogenic selection, and the fine mapping of sister chromatid exchange events. Finally, we demonstrate that lesion segregation is a unifying property of exogenous mutagens, including UV light and chemotherapy agents in human cells and tumours, which has profound implications for the evolution and adaptation of cancer genomes.

cancer biology↗