Biology subjects

Saba, K.

Publications and source records attributed to Saba, K..

7 recordsLinked to original sources

bioRxiv2026

Chronic postnatal chemogenetic activation of forebrain excitatory neurons modulates adult glial function and metabolism in male mice

Early adversity increases vulnerability for adult psychopathology. Across multiple pre-clinical models of early adversity, there are reports of glial dysfunction and disrupted amino acid neurotransmission, along with maladaptive behavioral responses in adulthood. Disrupted G-protein coupled receptor signaling is known to phenocopy specific consequences of early life adversity. Enhanced Gq signaling in the forebrain excitatory neurons in early postnatal life programs anxio-depressive behaviors in adulthood, accompanied by altered neuronal glutamate and GABA metabolism in mouse models. We hypothesized that enhancing Gq signaling in forebrain excitatory neurons in early postnatal life may also impact glial function in adulthood. Our results show that postnatal hM3Dq-mediated chemogenetic activation of CaMKII-positive forebrain excitatory neurons not only increases anxiety-like behavior, but also evokes bidirectional transcriptional regulation of multiple glia-associated genes in the neocortex and hippocampi. While Gfap, Aldh1l1, S100{beta}, Eaat1, Eaat2 and Eaat3, mRNA levels were reduced in the neocortex, they were enhanced in the hippocampus, and a similar pattern was noted for GFAP protein levels. Transient, postnatal chemogenetic activation of CaMKII-positive neurons did not alter astrocyte cell density in both the neocortex and the hippocampus. Using (1H-(13C)) NMR spectroscopy, we observed a significant decline in astrocyte-specific glutamate and GABA neurotransmitter turnover, and a reduction in astrocyte metabolic flux within the neocortex and the hippocampus in adulthood in animals with a history of postnatal chemogenetic activation of forebrain excitatory neurons. Our findings indicate that chemogenetically driving Gq signaling transiently during the postnatal window in forebrain excitatory neurons results in persistent changes well into adulthood, with enhanced anxiety-like behaviors and disrupted glial function and metabolism, phenocopying specific changes in glial function noted following early adversity.

neuroscience↗

bioRxiv2022

Enhancing adult neuroplasticity by epigenetic regulation of Parvalbumin-expressing GABAergic cells

Failure of inhibiting fear in response to harmless stimuli contributes to anxiety disorders. Extinction training only temporarily suppresses fear memories in adults, but it is highly effective in juveniles. GABAergic parvalbumin-positive (PV+) cells restrict plasticity in adult brains, thus increasing PV+ cell plasticity could promote the suppression of fear memories following extinction training in adults. Histone deacetylase 2 (Hdac2) restrains both structural and functional synaptic plasticity; however, whether and how Hdac2 controls adult PV+ cell plasticity is unknown. Here, we report that Hdac2 deletion or pharmacological inhibition in PV+ cells attenuate spontaneous recovery of fear memory after fear extinction learning in adults. These manipulations promote a temporally restricted downregulation of Acan, a critical perineuronal net component expressed exclusively by PV+ cells in medial prefrontal cortex. Finally, we show that Acan transient downregulation before extinction training but after fear memory acquisition is sufficient to reduce spontaneous fear memory recovery in wild-type mice.

neuroscience↗

bioRxiv2020

Chronic chemogenetic activation of forebrain excitatory neurons in postnatal life evokes long-lasting changes in mood-related behavior

Early adversity is a key risk factor for the development of adult psychopathology, including anxiety, depression and schizophrenia. Rodent models of early adversity program persistent behavioral, molecular, metabolic, and neurophysiological changes. Perturbed signaling via forebrain Gq-coupled neurotransmitter receptors is a common feature across multiple models of early adversity. We addressed whether enhanced Gq-mediated signaling in forebrain excitatory neurons during postnatal life can evoke long-lasting mood-related behavioral changes. Excitatory hM3Dq DREADD-mediated chemogenetic activation of CamKII-positive forebrain excitatory neurons during postnatal life (P2-14) increased anxiety- and despair-like behavior, and evoked sensorimotor gating deficits in adulthood. In contrast, chronic chemogenetic hM3Dq DREADD activation of forebrain excitatory neurons in the juvenile or adult window did not evoke any mood-related behavioral alterations, highlighting the criticality of the postnatal temporal window. The enhanced anxiety-, despair- and schizophrenia-like behavioral changes evoked by chronic chemogenetic activation of forebrain excitatory neurons in postnatal life, was accompanied by an increased cortical and hippocampal metabolic rate of glutamatergic and GABAergic neurons in adulthood. Furthermore, animals with a history of postnatal hM3Dq activation exhibited a decline in the expression of activity-dependent and plasticity-associated markers within the hippocampus, along with perturbed hippocampal excitatory and inhibitory currents in adulthood. These results indicate that Gq signaling mediated activation of forebrain excitatory neurons during the critical postnatal window is sufficient to program altered mood-related behavior, as well as metabolic and neurophysiological changes in forebrain glutamate and GABA systems, recapitulating specific aspects of the consequences of early adversity.

neuroscience↗

bioRxiv2020

Proteogenomic heterogeneity of localized human prostate cancer progression

BackgroundTumor-specific genomic aberrations are routinely determined by high throughput genomic measurements. It remains unclear though, how complex genome alterations affect molecular networks through changing protein levels, and consequently biochemical states of tumor tissues. ResultsHere, we investigated the propagation of genomic effects along the axis of gene expression during prostate cancer progression. For that, we quantified genomic, transcriptomic and proteomic alterations based on 105 prostate samples, consisting of benign prostatic hyperplasia regions and malignant tumors, from 39 prostate cancer patients. Our analysis revealed convergent effects of distinct copy number alterations impacting on common downstream proteins, which are important for establishing the tumor phenotype. We devised a network-based approach that integrates perturbations across different molecular layers, which identified a sub-network consisting of nine genes whose joint activity positively correlated with increasingly aggressive tumor phenotypes and was predictive of recurrence-free survival. Further, our data revealed a wide spectrum of intra-patient network effects, ranging from similar to very distinct alterations on different molecular layers. ConclusionsThis study uncovered molecular networks with remarkably convergent alterations across tumor sites and patients, but it also exposed a diversity of network effects: we could not identify a single sub-network that was perturbed in all high-grade tumor regions.

systems biology↗

bioRxiv2019

High-throughput proteomic analysis of FFPE tissue samples facilitates tumor stratification

Formalin-fixed, paraffin-embedded (FFPE), biobanked tissue samples offer an invaluable resource for clinical and biomarker research. Here we developed a pressure cycling technology (PCT)-SWATH mass spectrometry workflow to analyze FFPE tissue proteomes and applied it to the stratification of prostate cancer (PCa) and diffuse large B-cell lymphoma (DLBCL) samples. We show that the proteome patterns of FFPE PCa tissue samples and their analogous fresh frozen (FF) counterparts have a high degree of similarity and we confirmed multiple proteins consistently regulated in PCa tissues in an independent sample cohort. We further demonstrate temporal stability of proteome patterns from FFPE samples that were stored between one to 15 years in a biobank and show a high degree of the proteome pattern similarity between two types histological region of small FFPE samples, i.e. punched tissue biopsies and thin tissue sections of micrometer thickness, despite the existence of certain degree of biological variations. Applying the method to two independent DLBCL cohorts we identified myeloperoxidase (MPO), a peroxidase enzyme, as a novel prognostic marker. In summary, this study presents a robust proteomic method to analyze bulk and biopsy FFPE tissues and reports the first systematic comparison of proteome maps generated from FFPE and FF samples. Our data demonstrate the practicality and superiority of FFPE over FF samples for proteome in biomarker discovery. Promising biomarker candidates for PCa and DLBCL have been discovered.

biochemistry↗

bioRxiv2018

Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers

Many tumors are characterized by large genomic heterogeneity and it remains unclear to what extent this impacts on protein biomarker discovery. Here, we quantified proteome intra-tissue heterogeneity (ITH) based on a multi-region analysis of 30 biopsy-scale prostate tissues using pressure cycling technology and SWATH mass spectrometry. We quantified 8,248 proteins and analyzed the ITH of 3,700 proteins. The level of ITH varied significantly depending on proteins and tissue types. Benign tissues exhibited generally more complex ITH patterns than malignant tissues. Spatial variability of ten prostate biomarkers was further validated by immunohistochemistry in an independent cohort (n=83) using tissue microarrays. PSA was preferentially variable in benign prostatic hyperplasia, while GDF15 substantially varied in prostate adenocarcinomas. Further, we found that DNA repair pathways exhibited a high degree of variability in tumorous tissues, which may contribute to the genetic heterogeneity of tumors. This study conceptually adds a new perspective to protein biomarker discovery by quantifying spatial proteome variation and it demonstrates the feasibility by exploiting recent technological progress.

systems biology↗

bioRxiv2016

Delivery of BACE1 siRNA mediated by TARBP-BTP fusion protein reduces β-amyloid deposits in a transgenic mouse model of Alzheimers disease

Systemic delivery of nucleic acids to the central nervous system (CNS) is a major challenge for the development of RNA interference-based therapeutics due to absence of stability, target specificity, non-permeability to the blood-brain barrier (BBB), and mainly due to lack of suitable carriers. Using a designed bi-functional fusion protein TARBP-BTP, very recently we demonstrated knockdown of target genes in the brain of both A{beta}PP-PS1 (Alzheimers disease, AD) and wildtype C57BL/6 mice upon systemic delivery of a single dose of siRNA. In this report, we further substantiate this hypothesis through an extended study in A{beta}PP-PS1 mice, which upon treatment with seven doses of {beta}-secretase APP cleaving Enzyme 1 (BACE1) siRNA, led to target-specific effects in the mouse brain. Concomitant gene silencing and consequent reduction in plaque load in the cerebral cortex and hippocampus (>60%) in mice treated with TARBP-BTP:siRNA complex further led to improvement in spatial learning and memory, which was assessed and verified through Morris Water Maze test that revealed significant improvement in cognitive function. Moreover, the treatment did not induce any adverse effects as revealed by the histopathology of different organs. The work validates the efficiency of TARBP-BTP fusion protein as an efficient mediator of RNAi giving considerable scope for future intervention of neurodegenerative disorders of the CNS through the use of short nucleic acids as gene specific inhibitors.

neuroscience↗