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Ravindra, N.

Publications and source records attributed to Ravindra, N..

5 recordsLinked to original sources

DINOcell: Learning Generalizable Perturbation Effects through Self-Distillation

AO_SCPLOWBSTRACTC_SCPLOWPredicting cellular responses to therapeutics is a promising approach for novel target discovery. However, state-of-the-art computational models designed to predict perturbation effects struggle to generalize and outperform simple baselines. We present DINOcell, a weakly supervised framework that adapts self-distillation to single-cell transcriptomics for predicting perturbation effects. We demonstrate that DINOcell outperforms baselines in predicting the effects of single gene perturbations. Furthermore, DINOcell accurately predicts non-additive effects of combination perturbations, indicating its capacity to model complex genetic interactions. Finally, we show that DINOcell learns representations that capture biological signals and is a promising, generalizable approach for in silico perturbation modeling, providing a valuable tool for accelerating therapeutic target discovery.

bioinformatics↗

Variable Schwann cell merlin inactivation is targetable with TEAD1 inhibition in schwannomas.

Schwann cell tumors occur frequently in association with the vestibular nerves, leading to sensorineural hearing loss, and brainstem compression. In humans, unilateral vestibular schwannomas (VS) occur sporadically (VSspo)1, or bilaterally with neurofibromatosis type 2 syndrome (NF2) - VSnf2.2 VS formation is driven by sub-haploid NF2 gene dosage3, typically by biallelic loss.4,5 Loss of merlin promotes hippo/TEAD dependent transcriptional reprogramming, proliferation, and paracrine signaling that varies across time, and tumor volume.4,6 These variations lead to a clinically unpredictable course, and incomplete response to treatment. We hypothesized that Schwann cell merlin inactivation state determines cell-wise hippo/TEAD dependency and drives schwannoma pathogenesis. We analyzed clinical samples from VSspo and VSnf2 with a multi-omics approach and detected variation in merlin activity within tumor Schwann cell population. We found that tumor-driving merlin-depleted Schwann cells (Schwannmer-) exhibited elevated hippo activity that was predominantly driven by TEAD1. In-silico TEAD1 perturbation led to a reversal to merlin intact Schwann phenotype. These findings, and tumor cell growth suppression were confirmed in NF2fl/fl;Peri-Cre mouse model7, and in human derived schwannoma cells treated with a pan-TEAD auto palmitoylation inhibitor VT3989.8 Our computational and experimental results confirm that TEAD1 inhibition could be a potent, targeted strategy for schwannomas.

cancer biology↗

Single-Cell Transcriptional Profiling of the Adult Corticospinal Tract Reveals Forelimb and Hindlimb Molecular Specialization

The corticospinal tract (CST) is refractory to repair after CNS trauma, resulting in chronic debilitating functional motor deficits after spinal cord injury. While novel pro-axon growth activators have stimulated plasticity and regeneration of corticospinal neurons (CSNs) after injury, robust functional recovery remains elusive. These repair strategies are sub-optimal in part due to underexplored molecular heterogeneity within the developing and adult CST. In this study, we combine retrograde CST tracing with single-cell RNA sequencing to build a comprehensive atlas of CSN subtypes. By comparing CSNs to non-spinally projecting neurons in layer Vb, we identify pan-CSN markers including Wnt7b. By leveraging retrograde tracing, we are able to compare forelimb and hindlimb projecting CSNs, identifying subtype-specific markers, including Cacng7 and Slc16a2 respectively. These markers are expressed in embryonic and neonatal CSNs and can be used to study early postnatal patterning of the CST. Our results provide molecular insight into the differences between anatomically distinct CSN subtypes and provide a resource for future screening and exploitation of these subtypes to repair the damaged CST after injury and disease.

neuroscience↗

Single-cell immune profiling reveals the impact of antiretroviral therapy on HIV-1-induced immune dysfunction, T cell clonal expansion, and HIV-1 persistence in vivo

Despite antiretroviral therapy (ART), HIV-1 persists in proliferating T cell clones that increase over time. To understand whether early ART affects HIV-1 persistence in vivo, we performed single-cell ECCITE-seq and profiled 89,279 CD4+ T cells in paired samples during viremia and after immediate versus delayed ART in six people in the randomized interventional Sabes study. We found that immediate ART partially reverted TNF responses while delayed ART did not. Antigen and TNF responses persisted despite immediate ART and shaped the transcriptional landscape of CD4+ T cells, HIV-1 RNA+ cells, and T cell clones harboring them (cloneHIV-1). Some HIV-1 RNA+ cells reside in the most clonally expanded cytotoxic T cell populations (GZMB and GZMK Th1 cells). CloneHIV-1+ were larger in clone size, persisted despite ART, and exhibited transcriptional signatures of antigen, cytotoxic effector, and cytokine responses. Using machine-learning algorithms, we identified markers for HIV-1 RNA+ cells and cloneHIV-1+ as potential therapeutic targets. Overall, by combining single-cell immune profiling and T cell expansion dynamics tracking, we identified drivers of HIV-1 persistence in vivo.

immunology↗

Neuroinvasive potential of SARS-CoV-2 revealed in a human brain organoid model

Although COVID-19 is considered to be primarily a respiratory disease, SARS-CoV-2 affects multiple organ systems including the central nervous system (CNS). Yet, there is no consensus whether the virus can infect the brain, or what the consequences of CNS infection are. Here, we used three independent approaches to probe the capacity of SARS-CoV-2 to infect the brain. First, using human brain organoids, we observed clear evidence of infection with accompanying metabolic changes in the infected and neighboring neurons. However, no evidence for the type I interferon responses was detected. We demonstrate that neuronal infection can be prevented either by blocking ACE2 with antibodies or by administering cerebrospinal fluid from a COVID-19 patient. Second, using mice overexpressing human ACE2, we demonstrate in vivo that SARS-CoV-2 neuroinvasion, but not respiratory infection, is associated with mortality. Finally, in brain autopsy from patients who died of COVID-19, we detect SARS-CoV-2 in the cortical neurons, and note pathologic features associated with infection with minimal immune cell infiltrates. These results provide evidence for the neuroinvasive capacity of SARS-CoV2, and an unexpected consequence of direct infection of neurons by SARS-CoV-2.

microbiology↗