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Suresh, R.

Publications and source records attributed to Suresh, R..

3 recordsLinked to original sources

A splice-switching antisense oligonucleotide approach for pediatric genetic epilepsies

Summary ParagraphVariants in ion channel genes are common causes of pediatric epilepsy, often leading to intractable seizures, developmental delay and other comorbidities, which increases risk of death. Pathogenic variants in the SCN8A gene, which encodes a voltage-gated sodium channel critical for action potential generation in the brain, account for [~]1% of genetic epilepsies. The voltage sensor in SCN8A domain 1 is encoded by one of two developmentally-regulated mutually exclusive alternative exons, 5N and 5A. We observe that variants in these exons are more likely to cause infantile spasms, a severe seizure type, than variants elsewhere in SCN8A, and that some pathogenic variants affect exon 5 splicing, impacting patient phenotype. Molecular and evolutionary analyses implicate the exon sequences of these and other voltage-gated ion channel alternative exons in splicing regulation. We identified antisense oligonucleotides (ASOs) that shift splicing of SCN8A exon 5N to 5A or vice versa. These ASOs normalize neuronal activity in patient-derived iPSC neurons, and reduce seizures and motor impairment and extend lifespan in a new exon 5N mutant mouse model. Our results demonstrate that splice-switching ASOs can effectively reduce the expression of pathogenic isoforms and rescue both seizure and non-seizure phenotypes. Similar approaches should be applicable to pediatric genetic epilepsies caused by mutations in other ion channel alternative exons.

neuroscience↗

DREAMER-S: Deep leaRning-Enabled Attention-based Multiple-instance approaches with Explainable Representations for Spatial Biology

Identifying image features that associate strongly with diagnostic or prognostic classes in large-scale, multi-channel spatial imaging is challenging without pixel-level annotations. We present DREAMER-S, an attention-based multiple-instance learning (MIL) framework that, using only image- or slide-level labels, learns spatial features within 3D imaging hypercubes that are most informative for downstream classification. We demonstrate DREAMER-S on Quantum Cascade Laser infrared (QCL-IR) tissue imaging, where attention weights are rendered spatially to highlight class-relevant spectral instances without manual annotation. Because the MIL attention layer assigns interpretable importances to spatial instances, the method is broadly transferable to spatial-biology applications that require instance-level filtering to focus towards salient regions of interest in high-content datasets. We further evaluate DREAMER-S on a chemotherapy-response task in a colorectal cancer patient-derived xenograft (PDX) model. After tuning, DREAMER-S separated spectral instances from a chemo-sensitive PDX (CRC0344) and a less responsive PDX (CRC0076) with an F1 score of [~]0.95. To validate explainability, we linked model saliency to cellular physiology, observing that, (i) unsupervised UMAP embeddings of high-attention spectra stratified samples by treatment (chemotherapy, apoptosis sensitizer, combination, vehicle), and (ii) selected spectral markers correlated with pro-apoptotic proteins measured independently in the same PDX system. Together, these results support a mechanistic link between spectral signals and apoptosis pathways and position DREAMER-S as an efficient, interpretable approach for analysing high-content spatial-biology imaging datasets.

bioinformatics↗

Cleaved vs. Uncleaved: How Furin Cleavage Reshapes the Conformational Landscape of SARS-CoV-2 Spike

The SARS-CoV-2 Spike protein is the primary target for vaccine design, with immunogens typically engineered to enhance stability by introducing proline mutations (2P) and mutating or deleting the Furin Cleavage Site (FCS). While these modifications improve structural integrity, studies suggest that furin cleavage can play a functional role in Spike protein dynamics, potentially enhancing ACE2 receptor binding. However, the impact of this cleavage on the unbound form of the Spike protein remains unclear. In this study, we use extensive all-atom molecular dynamics (MD) simulations to compare the structural and dynamic properties of cleaved and uncleaved Spike proteins in their pre-fusion, unbound state. Our results show that Furin cleavage significantly alters allosteric communication within the protein, increasing correlated motions between the Receptor Binding Domain (RBD) and N-terminal Domain (NTD), which may facilitate receptor engagement. Principal Component Analysis (PCA) reveals that the cleaved and uncleaved Spike proteins sample distinct conformational landscapes, with the cleaved form displaying enhanced flexibility and a broader range of RBD tilt angles. Additionally, Furin cleavage primes the S2 subunit by expanding the central helix, potentially influencing the transition to the post-fusion state. Glycan clustering patterns further suggest an adaptive structural response to cleavage, particularly in the NTD and RBD regions. These findings highlight the potential functional consequences of FCS deletion in immunogen design and underscore the importance of considering the native cleavage state in vaccine and therapeutic development.

biophysics↗