Biology subjects

Palo, J.

Publications and source records attributed to Palo, J..

3 recordsLinked to original sources

bioRxiv2026

Allele-specific rescue of neurexin behavioral phenotypes by monoamine-targeting compounds

Neurexins are synaptic adhesion molecules associated with neurologic changes in humans, including neurodevelopmental delay, autism, schizophrenia, Tourette syndrome, and seizures. The NRXN1 gene produces >100 protein isoforms through alternative promoters and extensive splicing, which are differentially impacted by NRXN1 variants found in patients. Yet pharmacologic targeting of NRXN1 isoforms or deletions has not been comprehensively studied. Here, we developed a behavioral screening approach in C. elegans to identify small molecule compounds that modify the decreased activity levels caused by isoform-specific deletions of neurexin(nrx-1). Screening 190 compounds, we discovered that monoamine-targeting compounds differentially improve behavioral phenotypes depending on which nrx-1 isoforms are disrupted. Broad modulation of monoamine signaling, or antagonism of specific serotonin receptors, are required to increase the activity of both alleles tested. The FDA-approved atypical antipsychotic olanzapine was the sole validated compound achieving Z-scores >2 in both screens, which notably also rescued behavioral phenotypes of C. elegans harboring a conserved autism-associated NRXN1 missense variant (L18Q/L16Q) identified in human patients. In Drosophila Nrx-1 mutants, olanzapine uniquely and significantly improved activity deficits and extended survival, demonstrating evolutionary conservation of our findings. Multi-behavior testing revealed pharmacological specificity: olanzapine improved both activity and social feeding phenotypes of nrx-1 alleles, while asenapine maleate improved activity, but worsened social feeding, indicating distinct impacts across behavioral domains. Our findings establish monoamine modulation as a conserved compensatory mechanism for neurexin loss, identify olanzapine as a lead compound for targeting neurexin loss, and demonstrate that allele stratification and pharmacogenomic approaches are needed for precision intervention in behavioral conditions. Neurexins are synaptic adhesion molecules implicated in autism, schizophrenia, and neurodevelopmental disorders. NRXN1 produces over 100 isoforms differentially affected by patient variants, yet pharmacologic targeting has not been systematically studied. We developed a C. elegans behavioral screen to identify compounds rescuing activity deficits caused by isoform-specific deletions. Screening 190 compounds, we discovered that monoamine-targeting drugs differentially improved behavioral phenotypes depending on which isoforms were disrupted. The FDA-approved antipsychotic olanzapine uniquely achieved robust rescue (Z-scores >2) across all genetic backgrounds tested, including a conserved autism-associated NRXN1 missense variant (L18Q/L16Q) identified in patients. Olanzapines efficacy was conserved in Drosophila Nrx-1 mutants, improving activity and extending survival. Multi-behavior testing revealed pharmacological specificity: olanzapine rescued both activity and social feeding phenotypes, while asenapine differentially affected behavioral domains. Our findings establish monoamine modulation as a compensatory mechanism for neurexin loss and identify olanzapine as a therapeutic lead for precision intervention in neurexin-associated disorders.

neuroscience↗

bioRxiv2025

Variation in social feeding behavior and interactions among Caenorhabditis nematodes

The ability to respond to complex stimuli and environmental cues is essential for organisms to survive and reproduce. Responding to a wide range of stimuli requires a neuronal network that can integrate cues and execute behavioral responses. Evolution of behaviors occurs ubiquitously in most established ecological niches, even among closely related species. To uncover the genetic and neuronal drivers of evolving behaviors, we have taken advantage of the large and relatively ancient divergence in the Caenorhabditis genus to ask how different Caenorhabditis nematodes respond to environmental stimuli and whether behavioral traits are shared or distinct. Here, we assayed foraging behaviors of twelve members of the Caenorhabditis clade, including members of both the elegans and japonica supergroup, and the basal taxon C. monodelphis. For each species, we analyzed social feeding and bordering behaviors, which are well characterized in C. elegans. These behaviors are the functional readout of complex sensory integration of multiple sensory cues including pheromones, touch, O2/CO2 concentration, and attractive and noxious stimuli. We hypothesized that the evolutionary divergence between species would correlate to divergence in these behaviors. We observed a wide variation in social aggregate feeding and bordering behaviors of hermaphrodite and female animals, but the variation did not correlate with evolutionary relatedness of the species. Addition of male animals with female or hermaphrodite animals of the same species increased aggregation behavior of subset of species, but not others. Combination of a second species with C. elegans significantly reduced aggregate feeding behavior of C. elegans, but not the other species. Intraspecies and interspecies interactions therefore modifies behavioral paradigms. Overall, we find that foraging and social feeding behaviors vary widely across Caenorhabditis species, likely due to species-specific responses and integration of environmental and context sensory cues. In general, the clade represents a compelling model to dissect evolution of behavior across diverse environments and a large timescale.

evolutionary biology↗

bioRxiv2018

The population history of northeastern Siberia since the Pleistocene

Far northeastern Siberia has been occupied by humans for more than 40 thousand years. Yet, owing to a scarcity of early archaeological sites and human remains, its population history and relationship to ancient and modern populations across Eurasia and the Americas are poorly understood. Here, we analyze 34 ancient genome sequences, including two from fragmented milk teeth found at the ~31.6 thousand-year-old (kya) Yana RHS site, the earliest and northernmost Pleistocene human remains found. These genomes reveal complex patterns of past population admixture and replacement events throughout northeastern Siberia, with evidence for at least three large-scale human migrations into the region. The first inhabitants, a previously unknown population of \"Ancient North Siberians\" (ANS), represented by Yana RHS, diverged ~38 kya from Western Eurasians, soon after the latter split from East Asians. Between 20 and 11 kya, the ANS population was largely replaced by peoples with ancestry related to present-day East Asians, giving rise to ancestral Native Americans and \"Ancient Paleosiberians\" (AP), represented by a 9.8 kya skeleton from Kolyma River. AP are closely related to the Siberian ancestors of Native Americans, and ancestral to contemporary communities such as Koryaks and Itelmen. Paleoclimatic modelling shows evidence for a refuge during the last glacial maximum (LGM) in southeastern Beringia, suggesting Beringia as a possible location for the admixture forming both ancestral Native Americans and AP. Between 11 and 4 kya, AP were in turn largely replaced by another group of peoples with ancestry from East Asia, the \"Neosiberians\" from which many contemporary Siberians derive. We detect gene flow events in both directions across the Bering Strait during this time, influencing the genetic composition of Inuit, as well as Na Dene-speaking Northern Native Americans, whose Siberian-related ancestry components is closely related to AP. Our analyses reveal that the population history of northeastern Siberia was highly dynamic throughout the Late Pleistocene and Holocene. The pattern observed in northeastern Siberia, with earlier, once widespread populations being replaced by distinct peoples, seems to have taken place across northern Eurasia, as far west as Scandinavia.

genomics↗