Biology subjects

Jovic, K.

Publications and source records attributed to Jovic, K..

4 recordsLinked to original sources

bioRxiv2025

The selective amyloid-driven failure of cholinergic medial septal neurons in aging mice perturbs REM sleep, cognition and emotion, and broadcasts amyloid to other brain regions

In humans, decreases in rapid eye movement sleep (REMS) strongly predict Alzheimers disease (AD), alongside early degeneration of basal forebrain cholinergic neurons. We examined how {beta}-amyloid pathology gradually erodes mouse cholinergic neurons. The familial AppNL-G-F allele was selectively expressed in medial septal (MS) cholinergic neurons of both sexes and compared with mice with global AppNL-G-F expression and selective genetic lesions of MS cholinergic cells. By 14 months, targeted AppNL-G-F allele expression had caused loss of 25% of MS cholinergic neurons and produced amyloid deposition in their terminal fields, particularly the hippocampus. REMS was reduced, together with cognitive and emotional alterations mirroring phenotypes in global mutants, which also showed selective MS cholinergic cell loss. Genetic lesioning of MS cholinergic cells recapitulated most phenotypes, identifying cholinergic loss, not amyloid deposition, as a probable cause of these phenotypes. Nevertheless, broadcasted amyloid from MS cholinergic neurons likely induced hippocampal astrocyte activation and epileptiform spikes. HighlightsO_LIAmyloid in medial septum causes cholinergic neuron loss and Alzheimers symptoms C_LIO_LIAmyloid from medial septal axons may trigger pathology in distant brain regions C_LIO_LILoss of acetylcholine, not amyloid spread, drives REM sleep and cognitive deficits C_LIO_LIBroadcasted septal amyloid induces hippocampal astrogliosis and epileptiform spikes C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=161 SRC="FIGDIR/small/663930v2_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@147275dorg.highwire.dtl.DTLVardef@69745borg.highwire.dtl.DTLVardef@1560ddborg.highwire.dtl.DTLVardef@a7d8d6_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

bioRxiv2022

Two sides to every coin: complementary introgression line populations in Caenorhabditis elegans

Quantitative genetics seeks to understand the role of allelic variation in trait differences. Introgression lines (ILs) contain a single genetic locus introgressed into another genetic background, and are one of the most powerful quantitative trait locus (QTL) mapping designs. However, albeit useful for QTL discovery, this homogenous background confounds genetic interactions. Here, we created an IL population with N2 segments in a CB4856 background (ILCB4856), reciprocal to an N2 background with CB4856 introgressions population (ILN2). The ILCB4856 panel comprises a population of 145 strains with sequencing confirmed N2 introgressions in a CB4856 background. A core set of 87 strains covering the entire genome was selected. We present three experiments demonstrating the power of the reciprocal IL panels. First, we performed QTL mapping identifying new regions associated with lifespan. Second, the existence of opposite-effect loci regulating heat-stress survival is demonstrated. Third, by combining ILN2 and ILCB4856 strains, an interacting expression QTL was uncovered. In conclusion, the reciprocal IL panels are a unique and ready-to-use resource to identify, resolve, and refine complex trait architectures in C. elegans.

genetics↗

bioRxiv2019

Transcriptome dynamics predict thermotolerance in Caenorhabditis elegans

BackgroundThe detrimental effects of a short bout of stress can persist, and potentially turn lethal, long after the return to normal conditions. Thermotolerance, which is the capacity of an organism to withstand relatively extreme temperatures, is influenced by the response during stress exposure, as well as the recovery process afterwards. While heat-shock response mechanisms have been studied intensively, predicting thermal tolerance remains a challenge.\n\nResultsHere, we use the nematode Caenorhabditis elegans to measure transcriptional resilience to heat stress and predict thermotolerance. Using high dimensionality reduction techniques in combination with genome-wide gene expression profiles collected in three high resolution time-series during control, heat stress and recovery conditions, we infer a quantitative scale capturing the extent of stress-induced transcriptome dynamics in a single value. This scale provides a basis for evaluating transcriptome resilience, defined here as the ability to depart from stress-expression dynamics during recovery. Independent replication across multiple highly divergent genotypes reveals that the transcriptional resilience parameter measured after a spike in temperature is quantitatively linked to long-term survival after heat stress.\n\nConclusionOur findings imply that thermotolerance is an intrinsic property that pre-determines long term outcome of stress and can be predicted by the transcriptional resilience parameter. Inferring the transcriptional resilience parameters of higher organisms could aid in evaluating rehabilitation strategies after stresses such as disease and trauma.

genomics↗

bioRxiv2017

A Point Of No Return Leading To Death During Heat-Shock In C. elegans

There is considerable insight into pathways and genes associated with heat-stress conditions. Most genes involved in stress response have been identified using mutant screens or gene knockdowns. Yet, there is limited understanding of the temporal dynamics of global gene expression in stressful environments. Here, we studied global gene expression profiles during 12 hours of heat stress in the nematode C. elegans. Using a high-resolution time series of increasing stress exposures, we found a distinct shift in gene expression patterns between 3-4 hours into the stress response, separating an initially highly dynamic phase from a later relatively stagnant phase. This turning point in expression dynamics coincided with a phenotypic turning point, as shown by a strong decrease in movement, survival and, progeny count in the days following the stress. Both detectable at transcriptional and phenotypic level, this study pin-points a relatively small time frame during heat stress at which enough damage is accumulated, making it impossible to recover the next few days.

genomics↗