Biology subjects

Venkatesan, V.

Publications and source records attributed to Venkatesan, V..

5 recordsLinked to original sources

bioRxiv2024

Actin dysregulation induces immune evasion via oxidative stress-activated PD-L1 in gastric cancer

Diffuse gastric adenocarcinoma (DGAC) is an aggressive malignancy with limited therapeutic options, poor prognosis, and poorly understood biology. CRACD, an actin polymerization regulator, is often inactivated in gastric cancer, including DGAC. We found that genetic engineering of murine gastric organoids with Cracd ablation combined with Kras mutation and Trp53 loss induced aberrant cell plasticity, hyperproliferation, and hypermucinosis, the features that recapitulate DGAC transcriptional signatures. Notably, CRACD inactivation remodeled the immune landscape for immune evasion through PD-L1 enrichment in tumor cells. Mechanistically, CRACD loss disrupted actin dynamics, generating reactive oxygen species that activated HIF1, which transactivated PD-L1. Pharmacologic inhibition of HIF1 or PD-L1 restored immune surveillance and suppressed tumorigenesis. These findings reveal a novel role of actin homeostasis in limiting cell plasticity and immune evasion, position CRACD as a potential biomarker for stratifying patients with DGAC, and highlight HIF1 and PD-L1 as actionable therapeutic targets.

cancer biology↗

bioRxiv2023

Synergistic Fusion of Graph and Transformer Features for Enhanced Molecular Property Prediction

Molecular property prediction is a critical task in computational drug discovery. While recent advances in Graph Neural Networks (GNNs) and Transformers have shown to be effective and promising, they face the following limitations: Transformer self-attention does not explicitly consider the underlying molecule structure while GNN feature representation alone is not sufficient to capture granular and hidden interactions and characteristics that distinguish similar molecules. To address these limitations, we propose SYN-FUSION, a novel approach that synergistically combines pre-trained features from GNNs and Transformers. This approach provides a comprehensive molecular representation, capturing both the global molecule structure and the individual atom characteristics. Experimental results on MoleculeNet benchmarks demonstrate superior performance, surpassing previous models in 5 out of 7 classification datasets and 4 out of 6 regression datasets. The performance of SYN-FUSION has been compared with other Graph-Transformer models that have been jointly trained using a combination of transformer and graph features, and it is found that our approach is on par with those models in terms of performance. Extensive analysis of the learned fusion model across aspects such as loss, latent space, and weight distribution further validates the effectiveness of SYN-FUSION. Finally, an ablation study unequivocally demonstrates that the synergy achieved by SYN-FUSION surpasses the performance of its individual model components and their ensemble, offering a substantial improvement in predicting molecular properties. CCS CONCEPTS*Applied computing [->]Molecular sequence analysis; Bioinformatics; * Computing methodologies[->] Artificial intelligence; Transfer learning; Neural networks.

bioinformatics↗

bioRxiv2022

Editing the core region in HPFH deletions alters fetal and adult globin expression for treatment of β-hemoglobinopathies

Reactivation of fetal hemoglobin (HbF) is the commonly adapted strategy to ameliorate {beta}-hemoglobinopathies. However, the continued production of defective adult hemoglobin (HbA) limits the HbF tetramer production affecting the therapeutic benefits. Here, we tested various deletional hereditary persistence of fetal hemoglobin (HPFH) mutations and identified a 11 kb sequence, encompassing Putative Repressor Region (PRR) to {beta}-globin Exon-1 ({beta}E1), as the core deletion that ablates HbA and exhibit superior production of HbF compared to HPFH or other well-established targets. The PRR-{beta}E1 edited hematopoietic stem and progenitor cells (HSPCs) retained engraftment potential to repopulate for long-term hematopoiesis in immunocompromised mice generating HbF+ cells in vivo. Importantly, the editing induces therapeutically relevant levels of HbF to reverse the phenotypes of both sickle cell disease and {beta}-thalassemia major. These results indicate that the PRR-{beta}E1 gene editing in patient HSPCs can potentially lead to superior therapeutic outcomes for {beta}-hemoglobinopathies gene therapy.

biochemistry↗

bioRxiv2022

Precise modelling and correction of a spectrum of β-thalassemic mutations in human erythroid cells by base editors

{beta}-thalassemia and HbE result from mutations in the {beta}-globin locus that impedes the production of functional {beta}-hemoglobin and represents one of the most common genetic disorders worldwide. Recent advances in genome engineering have opened up new therapeutic opportunities to directly correct these pathogenic mutations using base editors that install transition mutations (A>G and C>T) in the target region with minimal generation of indels. Herein, for the first time, we demonstrate the usage of base editor in the correction of point mutations spanning multiple regions of the HBB gene, including promoter, intron and exon. To this end, we have engineered human erythroid cells harbouring the diverse HBB mutations, thus eliminating the requirement of patient CD34+ HSPCs with desired mutations for the primary screening by base editors. We further performed precise creation and correction of individual HBB point mutations in human erythroid cells using base editors, which were effectively corrected in the HBB-engineered erythroid model. Intriguingly, most bystander effects produced by the base editor at the target site were reported to exhibit normal hemoglobin variants. Overall, our study provides the proof-of-concept for the precise, efficient and scarless creation and correction of various pathogenic mutations at the coding and non-coding regions of HBB gene in human erythroid cells using base editors and establishes a novel therapeutic platform for the treatment of {beta}-thalassemia/HbE patients. This study can be further explored in correcting the other monogenic disorders caused due to single base substitutions.

genomics↗

bioRxiv2020

Drift and termination of spiral waves in optogenetically-modified cardiac tissue at sub-threshold illumination

The development of new approaches to control cardiac arrhythmias requires a deep understanding of spiral wave dynamics. Optogenetics offers new possibilities for this. Preliminary experiments show that sub-threshold illumination affects electrical wave propagation in the mouse heart. However, a systematic exploration of these effects is technically challenging. Here, we use state-of-the-art computer models to study the dynamic control of spiral waves in a two-dimensional model of the adult mouse ventricle, using stationary and non-stationary patterns of sub-threshold illumination. Our results indicate a light intensity-dependent increase in cellular resting membrane potentials, which together with diffusive cell-cell coupling leads to the development of spatial voltage gradients over differently illuminated areas. A spiral wave drifts along the positive gradient. These gradients can be strategically applied to ensure drift-induced termination of a spiral wave, both in optogenetics and in conventional methods of electrical defibrillation.

biophysics↗