Highlights d FACS of NURR1::GFP dopaminergic (DA) precursors enriches DA neuron culture purity d SATB1 KO DA neurons show hallmarks of cellular senescence, including SASP d SATB1 is required to repress CDKN1A in DA neurons d Senescence induced by SATB1 reduction in vivo induces microglial activation
Highlights d Ribosomal profiling of AD vulnerable/resistant neurons in 5-, 12-, 24-month old mice d Using human neuron-type functional networks and GWASs to model vulnerability d Identification of axon plasticity genes linking Aß, aging, tau in vulnerable neurons d PTB, regulator of tau exon 10 splicing, might contribute to selective vulnerability
Selective serotonin reuptake inhibitors (SSRIs) are the most widely prescribed drugs for mood disorders. While the mechanism of SSRI action is still unknown, SSRIs are thought to exert therapeutic effects by elevating extracellular serotonin levels in the brain, and remodel the structural and functional alterations dysregulated during depression. To determine their precise mode of action, we tested whether such neuroadaptive processes are modulated by regulation of specific gene expression programs. Here we identify a transcriptional program regulated by activator protein-1 (AP-1) complex, formed by c-Fos and c-Jun that is selectively activated prior to the onset of the chronic SSRI response. The AP-1 transcriptional program modulates the expression of key neuronal remodeling genes, including S100a10 (p11), linking neuronal plasticity to the antidepressant response. We find that AP-1 function is required for the antidepressant effect in vivo. Furthermore, we demonstrate how neurochemical pathways of BDNF and FGF2, through the MAPK, PI3K, and JNK cascades, regulate AP-1 function to mediate the beneficial effects of the antidepressant response. Here we put forth a sequential molecular network to track the antidepressant response and provide a new avenue that could be used to accelerate or potentiate antidepressant responses by triggering neuroplasticity.
The genus Aethionema is sister to the core Brassicaceae (including Arabidopsis thaliana) and thus has an important evolutionary position for comparative analyses. Aethionema arabicum (Brassicaceae) is emerging as a model to understand the evolution of various traits. We generated transcriptome data for seven Ae. arabicum genotypes across the species range including Cyprus, Iran and Turkey. Combined flow cytometry and single nucleotide polymorphism (SNP) analyses identified distinct tetraploid (Iranian) and diploid populations (Turkish/Cypriot). The Turkish and Cypriot lines had a higher genome-wide genetic diversity than the Iranian lines. However, one genomic region contained genes with a higher diversity in the Iranian than the Turkish/Cypriot lines. Sixteen percent of the genes in this region were chaperonins involved in protein folding. Additionally, an analysis of glucosinolate profiles, chemical defence compounds of the Brassicaceae, showed a difference in diversity of indolic glucosinolates between the Iranian and Turkish/Cypriot lines. We showed that different Ae. arabicum individuals have different ploidy levels depending on their location (Iranian versus Turkish/Cypriot). Moreover, these differences between the populations are also shown in their defence compounds.
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