Biology subjects

Ravikumar, S.

Publications and source records attributed to Ravikumar, S..

8 recordsLinked to original sources

bioRxiv2026

A Multisensor Framework Reveals Redox Constraints on Glycolysis in vivo

Genetically encoded biosensors have transformed the study of metabolism, yet measurements of individual metabolites often provide an incomplete view of pathway regulation. Here, we develop a multisensor framework in Caenorhabditis elegans neurons to interpret glycolytic dynamics and redox state in vivo. We combine biosensors for NADH/NAD, fructose-1,6-bisphosphate, lactate, and pyruvate to resolve metabolic responses during hypoxia and redox perturbation. To causally test how redox state modulates glycolysis in vivo, we cell-specifically expressed the NADH-producing enzyme EcSTH and the NADH oxidase LbNOX to bidirectionally tune neuronal NADH/NAD balance. These perturbations revealed that redox modulation is sufficient to constrain or relieve lower glycolytic activity. Elevation of NADH/NAD promoted accumulation of upper glycolytic intermediates while suppressing lower glycolytic responses during energetic stress, consistent with inhibition at the NAD-dependent GAPDH step. Conversely, oxidation of NADH relieved this constraint and shifted metabolite pools consistent with enhanced lower glycolytic activity. Elevated NADH/NAD ratios also impaired synaptic vesicle organization, linking redox-mediated glycolytic inhibition to neuronal function. As a case study for how integrated biosensor approaches can provide semi-quantitative insight into pathway-level metabolic regulation, we genetically perturbed endogenous NADH recycling pathways. These experiments revealed a hierarchical organization of neuronal redox buffering, with lactate dehydrogenase (LDH-1) serving as the dominant route for NAD regeneration during hypoxia and glycerol-3-phosphate dehydrogenase (GPDH-2) providing a secondary compensatory pathway. Graded impairment of NADH recycling resulted in corresponding increases in fructose-1,6-bisphosphate accumulation and synaptic defects, consistent with progressive inhibition of lower glycolysis. Together, these results establish a tractable in vivo system to probe causal relationships between redox state, glycolytic dynamics, and cellular physiology.

Molecular Biology↗

bioRxiv2026

Glycolytic Specialization Shapes Neuronal Physiology and Function in vivo

Neurons perform diverse functions that impose distinct energetic demands, but how energy-metabolic pathways are matched to these functions in vivo remains unknown. Here we show that two functionally divergent sister chemosensory neurons in C. elegans, ASEL and ASER, exhibit asymmetric glycolytic flux, with ASER exhibiting high and ASEL having low levels of glycolysis. Metabolic imaging, metabolic network modeling, and electrophysiology measurements reveal that ASERs elevated glycolysis supports a hyperpolarized resting potential, low input resistance, and rapid repolarization that enable a distinct functional role compared to ASEL. Impairing glycolysis collapses these electrophysiological specializations without abolishing neuronal excitability, and selectively disrupts ASERs calcium responses while leaving ASEL largely unaffected. These findings demonstrate that neuron-specific glycolytic programs shape core biophysical properties and are required for functional identity in vivo, establishing metabolism as an active determinant of neuronal physiology.

neuroscience↗

bioRxiv2025

Spatial Partitioning of Core Glycolysis Enables Tissue-Specific Metabolic Programs In Vivo

Tissues exhibit metabolic heterogeneity that tailors conserved pathways to distinct physiological demands, yet how this heterogeneity is achieved in vivo remains poorly understood. Here, we use Caenorhabditis elegans to investigate tissue-specific requirements for glucose-6-phosphate isomerase (GPI-1), a conserved reversible enzyme that links glycolysis and the pentose phosphate pathway (PPP). Tissue-specific metabolic-network modeling predicted differential glycolytic and PPP flux potential across adult tissues and identified tissue-specific biases in GPI-1 reaction directionality. Genetic disruption of gpi-1 produced germline defects consistent with impaired PPP-associated anabolic metabolism and somatic defects consistent with impaired glycolysis, indicating that GPI-1 supports distinct metabolic functions across tissues. We further discovered that two GPI-1 isoforms are differentially expressed and localized: GPI-1A is broadly expressed and cytosolic, whereas GPI-1B is enriched in the germline and localizes to endoplasmic reticulum-associated compartments. Isoform-specific perturbations revealed distinct requirements for GPI-1A and GPI-1B in somatic glycolysis and reproductive physiology. These findings implicate isoform-specific subcellular localization as a possible contributor to the partition of the functions of a conserved reversible enzyme, enabling tissue-specific anabolic and catabolic metabolism in vivo.

cell biology↗

bioRxiv2024

Spatial and morphological organization of mitochondria across a connectome

Neuronal function depends critically on the cell biological organization of mitochondria, which regulate calcium signals and produce energy, among other roles. However, little is known about how mitochondria are organized within the circuits of neurons that make up each brain. To uncover the systematic rules that govern mitochondria shape and position in a connectome, we analyzed the morphological and spatial organization of more than 100,000 mitochondria in over 1,000 visual projection neurons in the Drosophila connectome. We found that mitochondrial shape and size differ systematically between cell types, and are distinct enough between cell types to serve as an identifying fingerprint. Moreover, we derived three quantitative rules that describe how mitochondria are positioned within neurons relative to synapses and other subcellular features: (1) they are positioned with a precision of 2-3 microns; (2) their relative preference for pre- and postsynaptic sites and other subcellular features differs between axons and dendrites; (3) their positions were specialized to different cell types. These organizing rules correlated with functional and anatomical properties of the cells, including visual responses and input connectivity. We also find that, in the flys olfactory associative learning circuits, mitochondria are enriched at presynapses to particular postsynaptic cells by accumulating in functional sub-compartments of axons. Overall, our findings reveal a robust set of organizing principles for mitochondria within and between cells, uncovering cell biology that maps onto the organization of the connectome and adding new dimensions for understanding circuit function in the connectome.

neuroscience↗

bioRxiv2021

3D Mapping of Neurofibrillary Tangle Burden in the Human Medial Temporal Lobe

Tau protein neurofibrillary tangles (NFT) are closely linked to neuronal/synaptic loss and cognitive decline in Alzheimers disease (AD) and related dementias. Our knowledge of the pattern of NFT progression in the human brain, critical to the development of imaging biomarkers and interpretation of in vivo imaging studies in AD, is based on conventional 2D histology studies that only sample the brain sparsely. To address this limitation, ex vivo MRI and dense serial histological imaging in 18 human medial temporal lobe (MTL) specimens were used to construct 3D quantitative maps of NFT burden in the MTL at individual and group levels. These maps reveal significant variation in NFT burden along the anterior-posterior axis. While early NFT pathology is thought to be confined to the transentorhinal region, we find similar levels of NFT burden in this region and other MTL subregions, including amygdala, temporopolar cortex, and subiculum/CA1.

neuroscience↗

bioRxiv2020

Experimental investigation of Caenorhabditis elegans motility using micro-PIV

Caenorhabditis elegans is a microscopic nematode used extensively as a model organism in studies of neuromuscular function and neurodegenerative disorders. A mutation in mir-1 affects signalling at the neuromuscular junction. We investigate the effect of this mutation on the propulsive power exerted by nematodes as they grow in size with age. We compare the motility of wild-type and mir-1(gk276) mutant nematodes in a Newtonian fluid using a two-component, two dimensional (2C-2D) Digital Microscopic Particle Image Velocimetry ({micro}-PIV) technique. Beating amplitudes of the head and tail, the wavelength of undulatory waves and the swimming speed scale linearly with size in both the wild-type and mutant strains. The beating frequency is independent of size or position along the body. Differences in the magnitudes of these kinematic parameters between the two strains, however, grow systematically with age. The swimming speed scales linearly with the wave speed of the neuromuscular undulation in both nematode strains with a conserved ratio. The magnitude of mean power and mean local fluid circulation in the mutant is significantly lower compared to those of the wild-type animals of the same age. This indicates that a mutation in mir-1 adversely affects motility in C. elegans.

neuroscience↗

bioRxiv2019

Human Foveal Cone Photoreceptor Topography and its Dependence on Eye Length

We provide the first measures of foveal cone density as a function of axial length in living eyes and discuss the physical and visual implications of our findings. We used a new generation Adaptive Optics Scanning Laser Ophthalmoscope to image cones at and near the fovea in 28 eyes of 16 subjects. Cone density and other metrics were computed in units of visual angle and linear retinal units. The foveal cone mosaic in longer eyes is expanded at the fovea, but not in proportion to eye length. Despite retinal stretching (decrease in cones/mm2), myopes generally have a higher angular sampling density (increase in cones/deg2) in and around the fovea compared to emmetropes, offering the potential for better visual acuity. Reports of deficits in best-corrected foveal vision in myopes compared to emmetropes cannot be explained by increased spacing between photoreceptors caused by retinal stretching during myopic progression.

neuroscience↗

bioRxiv2018

Gene silencing by double-stranded RNA from C. elegans neurons reveals functional mosaicism of RNA interference

Delivery of double-stranded RNA (dsRNA) into animals can silence genes of matching sequence in diverse cell types through mechanisms that have been collectively called RNA interference. In the nematode C. elegans, dsRNA from multiple sources can trigger the amplification of silencing signals. Amplification occurs through the production of small RNAs by two RNA-dependent RNA polymerases (RdRPs) that are thought to be tissue-specific - EGO-1 in the germline and RRF-1 in somatic cells. Here we analyze instances of silencing in somatic cells that lack RRF-1. By varying dsRNA sources and target genes, we find that silencing in the absence of RRF-1 is most obvious when dsRNA from neurons is used to silence genes in intestinal cells. This silencing requires EGO-1, but the lineal identity of cells that can use EGO-1 varies. This variability could be because random sets of cells can either receive different amounts of dsRNA from the same source or use different RdRPs to perform the same function. As a result, all cells appear similarly functional despite underlying differences that vary from animal to animal. This functional mosaicism cautions against the use of a few molecules as proxies for predicting the behavior of a cell.\n\nGraphical Abstract\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC=\"FIGDIR/small/393074v2_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (29K):\norg.highwire.dtl.DTLVardef@f61659org.highwire.dtl.DTLVardef@3535c2org.highwire.dtl.DTLVardef@15c59d0org.highwire.dtl.DTLVardef@ca4ef_HPS_FORMAT_FIGEXP M_FIG C_FIG Random sets of cells can either receive different amounts of double-stranded RNA from neurons or use different RdRPs - RRF-1 only versus RRF-1 or EGO-1 - to perform the same function.

genetics↗