Biology subjects

Raju, S. S.

Publications and source records attributed to Raju, S. S..

3 recordsLinked to original sources

bioRxiv2026

Aging associated RNA loss impairs the dynamics of RNA and protein condensates

Altered biomolecular condensate dynamics are increasingly implicated in age-associated neurodegenerative disorders, yet the molecular principles governing these changes remain incompletely understood. Here, we demonstrate that aged cells across diverse cellular and organismal models harbor pre-formed, viscous, and persistent stress granules (SGs), which we term alt-SGs. These persistent condensates confer protection to senescent cells under fluctuating stress conditions. Comparative analyses reveal that alt-SGs exhibit elevated RNA-binding protein (RBP)-to-RNA ratios, underscoring a shift in condensate stoichiometry. By quantifying SG composition and dynamics in live cells and in vitro, we establish that RNA concentration is a key determinant of condensate material properties, molecular composition, and dissolution capacity. Importantly, aging cells display diminished absolute RNA concentrations due to reduced RNA metabolic activity. Reactivation of RNA metabolism restores RNA/RBP ratios within SGs and alleviates aging-associated phenotypes. Together, our findings highlight RNA metabolism as a central regulator of condensate stoichiometry and function, linking metabolic decline to altered phase behavior and cellular aging. Key findingsO_LIAging and senescence have Alt-SGs with increased protein/RNA Ratio C_LIO_LIAlt-SGs are persistent after stress removal in aging C_LIO_LIAging is associated with reduced total cellular RNA C_LIO_LIReactivating RNA metabolism rescues SG phenotypes C_LIO_LIAlt-SGs are protective for senescent cell C_LI

cell biology↗

bioRxiv2021

A single-cell and spatial atlas of autopsy tissues reveals pathology and cellular targets of SARS-CoV-2

The SARS-CoV-2 pandemic has caused over 1 million deaths globally, mostly due to acute lung injury and acute respiratory distress syndrome, or direct complications resulting in multiple-organ failures. Little is known about the host tissue immune and cellular responses associated with COVID-19 infection, symptoms, and lethality. To address this, we collected tissues from 11 organs during the clinical autopsy of 17 individuals who succumbed to COVID-19, resulting in a tissue bank of approximately 420 specimens. We generated comprehensive cellular maps capturing COVID-19 biology related to patients demise through single-cell and single-nucleus RNA-Seq of lung, kidney, liver and heart tissues, and further contextualized our findings through spatial RNA profiling of distinct lung regions. We developed a computational framework that incorporates removal of ambient RNA and automated cell type annotation to facilitate comparison with other healthy and diseased tissue atlases. In the lung, we uncovered significantly altered transcriptional programs within the epithelial, immune, and stromal compartments and cell intrinsic changes in multiple cell types relative to lung tissue from healthy controls. We observed evidence of: alveolar type 2 (AT2) differentiation replacing depleted alveolar type 1 (AT1) lung epithelial cells, as previously seen in fibrosis; a concomitant increase in myofibroblasts reflective of defective tissue repair; and, putative TP63+ intrapulmonary basal-like progenitor (IPBLP) cells, similar to cells identified in H1N1 influenza, that may serve as an emergency cellular reserve for severely damaged alveoli. Together, these findings suggest the activation and failure of multiple avenues for regeneration of the epithelium in these terminal lungs. SARS-CoV-2 RNA reads were enriched in lung mononuclear phagocytic cells and endothelial cells, and these cells expressed distinct host response transcriptional programs. We corroborated the compositional and transcriptional changes in lung tissue through spatial analysis of RNA profiles in situ and distinguished unique tissue host responses between regions with and without viral RNA, and in COVID-19 donor tissues relative to healthy lung. Finally, we analyzed genetic regions implicated in COVID-19 GWAS with transcriptomic data to implicate specific cell types and genes associated with disease severity. Overall, our COVID-19 cell atlas is a foundational dataset to better understand the biological impact of SARS-CoV-2 infection across the human body and empowers the identification of new therapeutic interventions and prevention strategies.

genomics↗

bioRxiv2020

Single-cell profiling of Ebola virus infection in vivo reveals viral and host transcriptional dynamics

Ebola virus (EBOV) causes epidemics with high case fatality rates, yet remains understudied due to the challenge of experimentation in high-containment and outbreak settings. To better understand EBOV infection in vivo, we used single-cell transcriptomics and CyTOF-based single-cell protein quantification to characterize peripheral immune cell activity during EBOV infection in rhesus monkeys. We obtained 100,000 transcriptomes and 15,000,000 protein profiles, providing insight into pathogenesis. We find that immature, proliferative monocyte-lineage cells with reduced antigen presentation capacity replace conventional circulating monocyte subsets within days of infection, while lymphocytes upregulate apoptosis genes and decline in abundance. By quantifying viral RNA abundance in individual cells, we identify molecular determinants of tropism and examine temporal dynamics in viral and host gene expression. Within infected cells, we observe that EBOV down-regulates STAT1 mRNA and interferon signaling, and up-regulates putative pro-viral genes (e.g., DYNLL1 and HSPA5), nominating cellular pathways the virus manipulates for its replication. Overall, this study sheds light on EBOV tropism, replication dynamics, and elicited immune response, and provides a framework for characterizing interactions between hosts and emerging viruses in a maximum containment setting.

microbiology↗