Biology subjects

Palaniswamy, R.

Publications and source records attributed to Palaniswamy, R..

5 recordsLinked to original sources

bioRxiv2026

Genetic and stochastic basis of phenotypic discordance in 16p11.2 mouse model deletion

Recurrent copy number variations such as the 16p11.2 deletion (del/+) represent a significant genetic risk for neurodevelopmental disorders, showing incomplete penetrance and variable expressivity. Here we describe a striking discordance in a genetic mouse model of human 16p11.2 deletion. Using electrocorticography experiments, we detected that approximately 50% of the isogenic del/+ mice exhibited increased susceptibility to seizures from low doses of the convulsant drug pentylenetetrazole (PTZ). Some of these mice also displayed spontaneous epileptiform brain activity. Next, we used two-photon microscopy tomography (STPT) with c-Fos-GFP (c-Fos+) as a reporter of neuronal activity to obtain images of the entire mouse brain. We examined del/+ mice that exhibited low or high responses to PTZ. Low responders exhibited minimal c-Fos+ activation. However, they had activating circuits that suggest the presence of compensatory mechanisms that suppress seizures. These circuits include the reticular nucleus of the thalamus, the pretectal region, the pedunculopontine nucleus, and the superior colliculus. In contrast, high-responder mice exhibited high c-Fos+ expression, corresponding to a fast seizure phenotype. Using whole-brain imaging, we analyzed brain volume and detected significant differences in the cortex between low- responder and high-responder del/+ mice. In the group with higher seizure susceptibility, we observed a notable decrease in cortical volume with significant differences in several brain regions compared to low responders. Additionally, some high-responder mice showed null expansion areas compared to low-responder mice. During the longitudinal behavioral analysis, the high-responder group of mice exhibited more severe sleep disturbances and an increase in repetitive grooming. Finally, to identify transcriptional correlates of the low- versus high- response phenotypes in adulthood, we performed bulk RNA-seq on somatosensory cortex punches from adult del/+ mice stratified by seizure response. Seizure-prone del/+ mice exhibited reduced activity-dependent immediate early gene signatures and coordinated changes in regulatory programs, including decreased expression of transcriptional regulators and metabotropic glutamate receptor genes, compared to low responders. Together, these findings define two distinct adult del/+ subgroups with convergent circuit, structural, behavioral, and molecular signatures.

neuroscience↗

bioRxiv2024

Brain Structural Organization Revealed by Unbiased Cell-Type Distribution Clustering

Cell-type composition across brain regions is a critical structural factor shaping both local and long-range brain circuits. Here, we employed single-cell resolution imaging of the mouse brain, combined with computational analyses, to map the distribution of 30 cell classes and types defined by gene marker expression in Cre recombinase-based genetic mouse models. This approach generated a comprehensive atlas of cell type-specific densities across the male and female brain, revealing (1) surprisingly broad sex differences in cells tagged by developmental cell-type markers, (2) shared cell type composition signatures among functionally related brain structures, and (3) close associations not only between specific cell types but also discrete cell type densities and anatomical regions and subregions. In summary, despite the relatively broad cell type classification enabled by the Cre mouse models, our findings highlight intricate relationships between brain cell type distribution and anatomical organization, associating distinct local cell densities with region-specific brain functions.

neuroscience↗

bioRxiv2020

Super-resolution light-sheet fluorescence microscopy by SOFI.

Here we describe a new method, named LS-SOFI, that combines light-sheet fluorescence microscopy and super-resolution optical fluctuation imaging to achieve fast nanoscale-resolution imaging over large fields of view in native 3D tissues. We demonstrate the use of LS-SOFI in super-resolution analysis of neuronal structures and synaptic proteins, including cortical axons, dendritic spines, pre- and postsynaptic cytoskeletal proteins and postsynaptic AMPA receptors, in thick mouse brain sections. We also introduce an algorithm to determine the number of active fluorophore emitters detected, allowing the localization of individual molecules in LS-SOFI images. We conclude that LS-SOFI is a versatile method for fast super-resolution imaging from any tissue of the body using both commercial and custom LSFM instruments.

neuroscience↗

bioRxiv2020

Genetic dissection of glutamatergic neuron subpopulations and developmental trajectories in the cerebral cortex

Diverse types of glutamatergic pyramidal neurons (PyNs) mediate the myriad processing streams and output channels of the cerebral cortex, yet all derive from neural progenitors of the embryonic dorsal telencephalon. Here, we establish genetic strategies and tools for dissecting and fate mapping PyN subpopulations based on their developmental and molecular programs. We leverage key transcription factors and effector genes to systematically target the temporal patterning programs in progenitors and differentiation programs in postmitotic neurons. We generated over a dozen temporally inducible mouse Cre and Flp knock-in driver lines to enable combinatorial targeting of major progenitor types and projection classes. Intersectional converter lines confer viral access to specific subsets defined by developmental origin, marker expression, anatomical location and projection targets. These strategies establish an experimental framework for understanding the hierarchical organization and developmental trajectory of PyN subpopulations that assemble cortical processing networks and output channels.

neuroscience↗

bioRxiv2018

A brain network basis of Fragile X syndrome behavioral penetrance determined by X chromosome inactivation in female mice

Non-random (skewed) X chromosome inactivation (XCI) in the female brain can ameliorate X-linked phenotypes, though clinical studies typically consider 80-90% skewing favoring the healthy allele as necessary for this effect1-10. Here we quantify for the first time whole-brain XCI at single-cell resolution and discover a preferential inactivation of paternal to maternal X at [~]60:40 ratio, which surprisingly impacts disease penetrance. In Fragile-X-syndrome mouse model, Fmr1-KO allele transmitted maternally in [~]60% brain cells causes phenotypes, but paternal transmission in [~]40% cells is unexpectedly tolerated. In the affected maternal Fmr1-KO(m)/+ mice, local XCI variability within distinct brain networks further determines sensory versus social manifestations, revealing a stochastic source of X-linked phenotypic diversity. Taken together, our data show that a modest [~]60% bias favoring the healthy allele is sufficient to ameliorate X-linked phenotypic penetrance, suggesting that conclusions of many clinical XCI studies using the 80-90% threshold should be re-evaluated. Furthermore, the paternal origin of the XCI bias points to a novel evolutionary mechanism acting to counter the higher rate of de novo mutations in male germiline11-16. Finally, the brain capacity to tolerate a major genetic lesion in [~]40% cells is also relevant for interpreting other neurodevelopmental genetic conditions, such as brain somatic mosaicism.

neuroscience↗