Biology subjects

Ravi, S.

Publications and source records attributed to Ravi, S..

18 recordsLinked to original sources

bioRxiv2026

Genomic rDNA instabilities in Arabidopsis epigenetic mutants alter location-based rRNA gene expression patterns

The model plant species Arabidopsis thaliana has two nucleolus organizer regions (NORs), each consisting of tandem repeats of 45S rRNA genes on chromosomes 2 (NOR2) and 4 (NOR4). In the ecotype Col-0, the rRNA gene subtypes mapping to NOR2 are mostly silenced during development, whereas those mapping to NOR4 are mostly active. Using molecular and genetic mapping approaches, we demonstrate in multiple epigenetic mutants the occurrence of NOR conversions involving loss of rDNA and the associated telomeres in one NOR and replacement of the lost sequences with the corresponding sequences from the other NOR. We studied mutants of evolutionarily conserved chromatin remodelers DECREASE IN DNA METHYLATION 1 (DDM1) and CHROMATIN ASSEMBLY FACTOR 1 (CAF-1), and plant-specific CHROMOMETHYLASE 2 (CMT2) DNA methyltransferase. We observed NOR conversions in ddm1 and caf-1 mutants, where such NOR conversions altered the rRNA variant expression patterns, which often confound the data pertaining to release of rRNA gene silencing. We delineated the effects of these mutations on the rDNA instability-mediated alterations in rRNA variant expression from their effects on the actual release of rRNA gene silencing. We also show that these mutations release rRNA gene silencing independently of their effect on rDNA genomic instability involving NOR conversions.

plant biology↗

bioRxiv2026

PERK Deficiency Amplifies Molecular, Structural, and Network Vulnerability to Repetitive Mild Traumatic Brain Injury

Repetitive mild traumatic brain injury (rmTBI) produces cumulative cellular stress that can lead to progressive brain dysfunction, yet the mechanisms governing vulnerability to repeated injury remain unclear. Protein kinase RNA-like endoplasmic reticulum kinase (PERK) regulates cellular proteostasis through the unfolded protein response and is implicated in neurodegeneration and acute brain injury. Here, we directly tested the role of PERK deficiency in shaping the brains response to rmTBI. Using a mouse model of neuronal PERK deficiency, we combined spatial proteomics and tissue analyses with resting-state functional MRI and diffusion tensor imaging to assess molecular, functional, and structural outcomes after rmTBI. PERK deficiency increased susceptibility to rmTBI-induced disruption of protein homeostasis, altered large-scale functional connectivity, and exacerbated white matter microstructural changes consistent with axonal and myelin damage. Molecular alterations were spatially aligned with imaging-defined network and white matter abnormalities. These findings identify PERK signaling as a key determinant of brain resilience to repetitive mild injury and link ER stress dysregulation to network-level dysfunction following rmTBI.

neuroscience↗

bioRxiv2026

Threading the needle: Spatial constraints sharpen visual sensitivity in honeybees

Navigating dense clutter requires honeybees to execute rapid visuomotor comparisons to identify the best route. How they resolve perceptual inputs to make a passage choice from multiple options is an open question. We studied this in a free flying paradigm where bees were challenged to choose between a taller and shorter aperture with varying height difference. We monitored choice across four height difference ratios at three spatial scales. Bees chose the taller aperture in all tests, but the precision of these choices depended heavily on the absolute size of the gap. For each size scale of aperture pairs, psychometric modelling revealed that when making a choice bees generally evaluate the relative height difference, conforming to Webers law. However, bees choices were non-uniformly sensitive across aperture size scales. Bees had greater sensitivity at the smallest spatial scale, where the likelihood of collision danger is larger. This deviation in behaviour due to absolute aperture size suggests a dynamic risk-cost trade-off. Bees appear to prioritise costly, high-acuity inspections only when imposed by critical physical constraints of the environment, relaxing this vigilance at safer, larger scales to conserve energy.

animal behavior and cognition↗

bioRxiv2025

Progressive Supranuclear Palsy PERK haplotype B selectively translates DLX1 promoting tau toxicity

The unfolded protein response (UPR) sensor PERK exists in two haplotypes termed A and B. PERK-B uniquely confers increased risk for tauopathies like progressive supranuclear palsy (PSP), but the mechanisms distinguishing its function from PERK-A and contributing to its association with tau pathology are not known. Here, we developed a controlled cellular model for a pair-wise comparison of the two PERK haplotypes, finding their UPR functions nearly indistinguishable. However, a careful examination employing puromycin-based proteomics revealed that a subset of mRNA translation events were permissible under PERK-B, but not PERK-A, dependent UPR. Critically, one of the targets that escaped PERK-B suppression was the transcription factor DLX1, which has been genetically linked to PSP risk. Here, we found a shift in the solubility of DLX1 in human PSP brain tissue, and report that silencing of DLX-1 reduced the aggregation of tau in mammalian cells. Furthermore, silencing of the fly homolog of DLX1 was sufficient to decrease tau-induced toxicity, in vivo. Our results detail the haplotype-specific PERK-B/DLX-1 pathway as a novel driver of tau pathology in cells, flies, and likely human brain, revealing new insights into PSP pathogenesis and potential therapeutic targets.

neuroscience↗

bioRxiv2025

Discovery and Validation of Alternatives to VSV-G for Pseudotyping of Lentiviral Vectors for In Vivo Delivery of Anti-Tumor Transgenes

Though cell therapy for cancer is now widely used commercially and has been efficacious for tens of thousands of patients, conventional manufacturing methods are expensive and difficult to scale. An alternative approach is to deliver the relevant anti-tumor transgenes to T cells in vivo in the patient. Such "in vivo cell therapy" methods promise to be more scalable, with reduced cost of goods, since the same drug product can be administered to any patient. Typically, conventional cell therapy introduces anti-tumor transgenes into T cells using a lentivector pseudotyped with VSV-G. However, VSV-G is not cell type specific because its molecular target is present on a diversity of human cells, which may result in less than optimal pharmacology in vivo. Natures existing viral diversity presents the opportunity to identify alternative pseudotypes that are more optimal for in vivo cell therapy. In this study, we first performed a large-scale bioinformatic sequence search for G-proteins similar to VSV-G. We identified 166 G-proteins in the sequence search and then tested 9 in vitro for efficiency, specificity, and sensitivity of transgene delivery to various human immune cell phenotypes. We used the results from this screen to select three G-protein candidates for a pilot GFP transgene delivery study in humanized mice, using anti-CD3 antibody fragments for T cell tropism. One candidate G-protein performed significantly better than VSV-G, so we moved that candidate into tumor control studies in a humanized mouse model. This candidate G-protein was able to deliver an anti-tumor transgene to T cells, which subsequently cleared 100% of tumor burden in 100% of mice. We conclude that systematic screens for optimal lentivector designs can be used to identify optimized candidates for in vivo cell therapy.

cancer biology↗

bioRxiv2024

Neurobiological Changes Across Pregnancy: A Longitudinal Investigation

Pregnancy is a period of profound biological transformation. However, we know remarkably little about pregnancy-related brain changes. To address this gap, we chart longitudinal changes in brain structure during pregnancy and explore potential mechanisms driving these changes. Ten participants (Mean age = 28.97 years) are assessed 1-6 times (median = 3) during their pregnancy. Each visit includes anatomical and diffusion-weighted MRI, and assessments of waking salivary hormones, hair hormones, and inflammatory cytokines. Here we observe a reduction in gray matter volume gestational week, while neurite density index (NDI), a proxy of axon density, in white matter tracts increase across pregnancy. Progesterone levels are associated with reductions in brain volumetric measurements, and both progesterone and estradiol levels are linked to increases in NDI in white matter tracts. This study highlights the profound neurobiological changes experienced by pregnant individuals and provides insights into neuroplasticity in adulthood.

neuroscience↗

bioRxiv2024

Age dictates brain functional connectivity and axonal integrity following repetitive mild traumatic brain injuries

Traumatic brain injuries (TBI) present a major public health challenge, demanding an in-depth understanding of age-specific signs and vulnerabilities. Aging not only significantly influences brain function and plasticity but also elevates the risk of hospitalizations and death following repetitive mild traumatic brain injuries (rmTBIs). In this study, we investigate the impact of age on brain network changes and white matter properties following rmTBI employing a multi-modal approach that integrates resting-state functional magnetic resonance imaging (rsfMRI), graph theory analysis, diffusion tensor imaging (DTI), and Neurite Orientation Dispersion and Density Imaging (NODDI). Utilizing the CHIMERA model, we conducted rmTBIs or sham (control) procedures on young (2.5-3 months old) and aged (22-month-old) male and female mice to model high risk groups. Functional and structural imaging unveiled age-related reductions in communication efficiency between brain regions, while injuries induced opposing effects on the small-world index across age groups, influencing network segregation. Functional connectivity analysis also identified alterations in 79 out of 148 brain regions by age, treatment (sham vs. rmTBI), or their interaction. Injuries exerted pronounced effects on sensory integration areas, including insular and motor cortices. Age-related disruptions in white matter integrity were observed, indicating alterations in various diffusion directions (mean, radial, axial diffusivity, fractional anisotropy) and density neurite properties (dispersion index, intracellular and isotropic volume fraction). Inflammation, assessed through Iba-1 and GFAP markers, correlated with higher dispersion in the optic tract, suggesting a neuroinflammatory response in aged animals. These findings provide a comprehensive understanding of the intricate interplay between age, injuries, and brain connectivity, shedding light on the long-term consequences of rmTBIs.

neuroscience↗

bioRxiv2023

Spatial Metabolome Lipidome and Glycome from a Single brain Section

Metabolites, lipids, and glycans are fundamental biomolecules involved in complex biological systems. They are metabolically channeled through a myriad of pathways and molecular processes that define the physiology and pathology of an organism. Here, we present a blueprint for the simultaneous analysis of spatial metabolome, lipidome, and glycome from a single tissue section using mass spectrometry imaging. Complimenting an original experimental protocol, our workflow includes a computational framework called Spatial Augmented Multiomics Interface (Sami) that offers multiomics integration, high dimensionality clustering, spatial anatomical mapping with matched multiomics features, and metabolic pathway enrichment to providing unprecedented insights into the spatial distribution and interaction of these biomolecules in mammalian tissue biology.

systems biology↗

bioRxiv2022

Brain mapping and spatial protein profiling reveal functional connectivity deficits and molecular changes following repetitive mild traumatic brain injury in wild-type mice.

Repetitive mild traumatic brain injury (rmTBI) is a leading and severe threat to cognition that often goes undiagnosed. A major challenge in developing diagnostics and treatments for the consequences of rmTBI is the fundamental knowledge gaps that explain how rmTBI promotes brain dysfunction. It is both critical and urgent to understand the neuropathological and functional consequences of rmTBI to develop effective therapeutic strategies. In this study, we sought to define the extent of altered brain functional connectivity (FC) and expression of neuropathological markers after rmTBI. We performed two rmTBI (2x 0.6{square}J impacts 24{square}h apart) in male and female C57BL/6J wild-type (WT) (~2.5-3mo) mice using closed head injury model of engineered rotational acceleration (CHIMERA) or sham procedures. At 5-6 days post-injury (dpi), we measured changes in brain volume and FC using T2-weighted images, resting-state functional MRI (rsfMRI), and graph theory analyses. We used diffusion tensor imaging (DTI) to assess microstructural changes in white matter tracts. In addition, at 7dpi, we measured changes in Iba1 and GFAP to determine the extent of gliosis. The expression of disease-associated protein markers in grey and white matter regions were evaluated using the NanoString-GeoMx digital spatial protein profiling (DSP) platform. The rsfMRI data revealed aberrant changes in connectivity such as node clustering coefficient, global and local efficiency, participation coefficient, eigenvector centrality, and betweenness centrality in thalamus and other key brain regions that process visual, auditory, and somatosensory information. In addition, DTI revealed significantly decreased fractional anisotropy (FA) and axial diffusivity in the optic tract. Also, mean, radial, and axial diffusivity (L1) were significantly increased in the hippocampus. DSP revealed that phospho-serine 199 tau (pS199) as well as glial markers such as GFAP, cathepsin-D, and Iba1 were significantly increased in the optic tract. In thalamic nuclei, the neuroinflammatory marker GPNMB was increased significantly, and the cell proliferation marker Ki-67 was decreased in the rmTBI group. Our data suggest that rmTBI significantly alters brain functional connectivity and causes a profound inflammatory response in gray matter regions, beyond chronic white matter damage.

neuroscience↗

bioRxiv2022

In BRAFV600E-mutated colorectal cancer cells, fascin1 restructures adherens junctions to drive Wnt activation

Fascin1 expression in colorectal carcinomas (CRCs) is linked to a clinically aggressive disease with poor prognosis. Despite that fascin1s role in the etiology of CRCs has not been directly investigated. We show fascin1 expression in one-third of all CRCs underscoring the critical need to identify fascin1s function in colorectal carcinogenesis. Here, we identify for the first time, fascin1s role as a mechanosensor that modulates CRC cell adherens junction (AJ) plasticity to induce tumor growth and metastasis. We show that fascin1 expression drives protein sorting to transform AJ mechanotransduction and we reveal how these force-sensitive pathways activate oncogenic signaling in CRC cells. We made the novel finding that AJ remodeling by fascin1 also controls "collective plasticity" and bidirectional cell migration. Few studies have examined AJ plasticity in cancer cells, which remains poorly understood and has not been therapeutically targeted. Our findings could have widespread implications for understanding and treating metastatic carcinomas.

cancer biology↗

bioRxiv2021

ΔFBA: Predicting metabolic flux alterations using genome-scale metabolic models and differential transcriptomic data

Genome-scale metabolic models (GEMs) provide a powerful framework for simulating the entire set of biochemical reactions occurring in a cell. Constraint-based modeling tools like flux balance analysis (FBA) developed for the purposes of predicting metabolic flux distribution using GEMs face considerable difficulties in estimating metabolic flux alterations between experimental conditions. Particularly, the most appropriate metabolic objective for FBA is not always obvious, likely context-specific, and not necessarily the same between conditions. Here, we propose a new method, called {Delta}FBA (deltaFBA), that employs constraint-based modeling, in combination with differential gene expression data, to evaluate changes in the intracellular flux distribution between two conditions. Notably, {Delta}FBA does not require specifying the cellular objective to produce the flux change predictions. We showcased the performance of {Delta}FBA through several case studies involving the prediction of metabolic alterations caused by genetic and environmental perturbations in Escherichia coli and caused by Type-2 diabetes in human muscle.

systems biology↗

bioRxiv2020

Selective silencing rather than targeted activation of gene expression underlies fate choice in human hematopoietic stem cells.

When human cord blood derived CD34+ cells are induced to differentiate in vitro, they undergo rapid and dynamic morphological and molecular transformations that are critical for fate commitment. Using ATAC-seq and single-cell RNA sequencing, we detected two phases in this process. In the first phase, we observed a rapid and global chromatin opening that makes most of the gene promoters in the genome accessible, followed by widespread upregulation of gene transcription and a concomitant increase in the cell-to-cell variability of gene expression. The second phase is marked by a slow chromatin closure and a subsequent overall downregulation of gene transcription and emergence of coherent expression profiles corresponding to distinct cell subpopulations. These observations are consistent with a model based on the spontaneous probabilistic organization of the cellular process of fate commitment.

cell biology↗

bioRxiv2020

Classification of grain amaranths using chromosome-level genome assembly of ramdana, A. hypochondriacus

In the age of genomics-based crop improvement, a high-quality genome of a local landrace adapted to the local environmental conditions is critically important. Grain amaranths produce highly nutritional grains with a multitude of desirable properties including C4 photosynthesis highly sought-after in other crops. For improving the agronomic traits of grain amaranth and for the transfer of desirable traits to dicot crops, a reference genome of a local landrace is necessary. Towards this end, our lab had initiated sequencing the genome of Amaranthus (A.) hypochondriacus (A.hyp_K_white) and had reported a draft genome in 2014. We selected this landrace because it is well adapted for cultivation in India during the last century and is currently a candidate for TILLING-based crop improvement. More recently, a high-quality chromosome-level assembly of A. hypochondriacus (PI558499, Plainsman) was reported. Here, we report a chromosome-level assembly of A.hyp_K_white (AhKP) using low-coverage PacBio reads, contigs from the reported draft genome of A.hyp_K_white, raw HiC data and reference genome of Plainsman. The placement of A.hyp_K_white on the phylogenetic tree of grain amaranths of known accessions clearly suggests that A.hyp_K_white is genetically distal from Plainsman and is most closely related to the accession PI619259 from Nepal (Ramdana). Furthermore, the classification of another accession, Suvarna, adapted to the local environment and selected for yield and other desirable traits, is clearly A. cruentus. A classification based on hundreds of thousands of SNPs validated taxonomy-based classification for a majority of the accessions providing the opportunity for reclassification of a few.

genomics↗

bioRxiv2020

A near-chromosome level genome assembly of Anopheles stephensi

Malaria remains a major healthcare risk to growing economies like India and a chromosome-level reference genome of Anopheles stephensi is critical for successful vector management and an understanding of vector evolution. We report a chromosome-level assembly of an Indian strain from draft genomes of two strains using a homology-based iterative approach. The resulting assembly with an L50 of 9 had long enough scaffolds for building 90% of the three chromosomes using physical markers. The sequencing of individuals reveals a genetic diversity ten times higher than what is reported. Based on the developmental transcriptome and orthology of the 54 olfactory receptors (ORs) to those of other Anopheles species, we identify olfactory receptors with the potential for host recognition in the genus Anopheles. A comparative analysis of the genomes suggests limited inter-chromosomal gene flow and chromosomal arm switching with a potential role in adaptive radiation within the genus Anopheles.

genomics↗

bioRxiv2020

Deficits in Behavioral and Neuronal Pattern Separation in Temporal Lobe Epilepsy

In temporal lobe epilepsy, the ability of the dentate gyrus to limit excitatory cortical input to the hippocampus breaks down, leading to seizures. The dentate gyrus is also thought to help discriminate between similar memories by performing pattern separation, but whether epilepsy leads to a breakdown in this neural computation, and thus to mnemonic discrimination impairments, remains unknown. Here we show that temporal lobe epilepsy is characterized by behavioral deficits in mnemonic discrimination tasks, in both humans (females and males) and mice (C57Bl6 males, systemic low-dose kainate model). Using a recently developed assay in brain slices of the same epileptic mice, we reveal a decreased ability of the dentate gyrus to perform certain forms of pattern separation. This is due to a subset of granule cells with abnormal bursting that can develop independently of early EEG abnormalities. Overall, our results linking physiology, computation and cognition in the same mice advance our understanding of episodic memory mechanisms and their dysfunction in epilepsy. Significance StatementPeople with temporal lobe epilepsy (TLE) often have learning and memory impairments, sometimes occurring earlier than the first seizure, but those symptoms and their biological underpinnings are poorly understood. We focused on the dentate gyrus, a brain region that is critical to avoid confusion between similar memories and is anatomically disorganized in TLE. We show that both humans and mice with TLE experience confusion between similar situations. This impairment coincides with a failure of the dentate gyrus to disambiguate similar input signals because of pathological bursting in a subset of neurons. Our work bridges seizure-oriented and memory-oriented views of the dentate gyrus function, suggests a mechanism for cognitive symptoms in TLE and supports a long-standing hypothesis of episodic memory theories.

neuroscience↗

bioRxiv2019

Metabolic stress is a primary pathogenic event in transgenic Caenorhabditis elegans expressing neuronal human amyloid-β

Alzheimers disease (AD) is the most common neurodegenerative disease affecting the elderly worldwide. Mitochondrial dysfunction has been proposed as a key event in the etiology of AD. We have previously modeled amyloid-beta (A{beta})-induced mitochondrial dysfunction in a transgenic Caenorhabditis elegans strain by expressing human A{beta} peptide specifically in neurons (GRU102). Here, we focus on a deeper analysis of these metabolic changes associated with A{beta}-induced mitochondrial dysfunction. Integrating metabolomics, transcriptomics, biochemical studies and computational modeling, we identify alterations in Tricarboxylic Acid (TCA) cycle metabolism following even low-level A{beta} expression. In particular, GRU102 show reduced activity of a rate-limiting TCA cycle enzyme, alpha-ketoglutarate dehydrogenase. These defects are associated with elevation of protein carbonyl content specifically in mitochondria. Importantly, metabolic failure occurs before any significant increase in global protein aggregate is detectable. Treatment with an antidiabetes drug, Metformin, reverses A{beta}-induced metabolic defects, reduces protein aggregation and normalizes the lifespan of GRU102. Our results point to metabolic dysfunction as an early and causative event in AD pathology and a promising target for intervention.

neuroscience↗

bioRxiv2018

Pathway-specific asymmetries between ON and OFF visual signals

Visual processing is largely organized into ON and OFF pathways that signal stimulus increments and decrements, respectively. These pathways exhibit natural pairings based on morphological and physiological similarities, such as ON and OFF alpha ganglion cells in the mammalian retina. Several studies have noted asymmetries in the properties of ON and OFF pathways. For example, the spatial receptive fields (RFs) of OFF alpha cells are systematically smaller than ON alpha cells. Analysis of natural scenes suggests these asymmetries are optimal for visual encoding. To test the generality of ON-OFF asymmetries, we measured the spatiotemporal RF properties of multiple RGC types in rat retina. Through a quantitative and serial classification, we identified three functional pairs of ON and OFF RGCs. We analyzed the structure of their RFs and compared spatial integration, temporal integration, and gain across ON and OFF pairs. Similar to previous results from cat and primate, RGC types with larger spatial RFs exhibited briefer temporal integration and higher gain. However, each pair of ON and OFF RGC types exhibited distinct asymmetric relationships between receptive field properties, some of which were opposite to previous reports. These results reveal the functional organization of six RGC types in the rodent retina and indicate that ON-OFF asymmetries are pathway specific.

neuroscience↗

bioRxiv2018

Gap perception in bumblebees

A number of insects fly over long distances below the natural canopy where the physical environment is highly cluttered consisting of obstacles of varying shape, size and texture. While navigating within such environments animals need to perceive and disambiguate environmental features that might obstruct their flight. The most elemental aspect of aerial navigation through such environments is gap identification and passability evaluation. We used bumblebees to seek insights into the mechanisms used for gap identification when confronted with an obstacle in their flight path and behavioral compensations employed to assess gap properties. Initially, bumblebee foragers were trained to fly though an unobstructed flight tunnel that led to a foraging chamber. After the bees were familiar with this situation, we placed a wall containing a gap that unexpectedly obstructed the flight path on a return trip to the hive. The flight trajectories of the bees as they approached the obstacle wall and traversed the gap were analyzed in order to evaluate their behavior as a function of the distance between the gap and a background wall that was placed behind the gap. Bumblebees initially decelerate when confronted with an unexpected obstacle. Deceleration was first noticed when the obstacle subtended around 35{degrees} on the retina but also depended on the properties of the gap. Subsequently the bees gradually traded off their longitudinal velocity to lateral velocity and approached the gap increasing lateral displacements and lateral velocity. Bumblebees shaped their flight trajectory depending on the salience of the gap, in our case, indicated by the optic flow contrast between the region within the gap and on the obstacle, which increases with decreasing distance between the gap and the background wall. As the optic flow contrast decreased the bees spent increasing time moving laterally across the obstacles. During these repeated lateral maneuvers the bees are likely assessing gap geometry and passability.

animal behavior and cognition↗