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Biology subjects

Bozic, T.

Publications and source records attributed to Bozic, T..

3 recordsLinked to original sources

5-HT 2A and 5-HT 2C receptor antagonism differentially modulates reinforcement learning and cognitive flexibility: behavioral and computational evidence

Cognitive flexibility, the ability to adapt behavior in response to a changing environment, is disrupted in several neuropsychiatric disorders, including obsessive-compulsive disorder (OCD) and major depressive disorder (MDD). Evidence suggests that flexibility, which can be operationalized using reversal learning tasks, is modulated by serotonergic transmission. However, how exactly flexible behavior and associated reinforcement learning (RL) processes are modulated by 5-HT action on specific receptors is unknown. We investigated the effects of 5-HT2A receptor (5-HT2AR) and 5-HT2C receptor (5-HT2CR) antagonism on cognitive flexibility and underlying RL mechanisms. Thirty-six male Lister hooded rats were trained on a touchscreen visual discrimination and reversal task. We evaluated the effects of systemic treatments with the 5-HT2AR and 5-HT2CR antagonists M100907 and SB-242084, respectively, on reversal learning performance and performance on probe trials where correct and incorrect stimuli were presented with a third, probabilistically rewarded, stimulus. Computational models were fitted to task choice data to extract RL parameters, including a novel model designed specifically for this task. 5-HT2AR antagonism impaired reversal learning during certain phases. 5-HT2CR antagonism, on the other hand, impaired learning from positive feedback. RL models further differentiated these effects. 5-HT2AR antagonism decreased punishment learning rate at high and low doses. The low dose also increased exploration (beta) and increased stimulus and side stickiness (kappa). 5-HT2CR antagonism also increased beta, but reduced side stickiness. These data indicate that 5-HT2A and 5-HT2CRs both modulate different aspects of flexibility, with 5-HT2ARs modulating learning from negative feedback and 5-HT2cRs for learning from positive feedback.

animal behavior and cognition↗

Variants of DNMT3A cause transcript-specific DNA methylation patterns and affect hematopoietic differentiation

The de novo DNA methyltransferase 3A (DNMT3A) plays pivotal roles in hematopoietic differentiation. In this study, we followed the hypothesis that alternative splicing of DNMT3A has characteristic epigenetic and functional sequels. Specific DNMT3A transcripts were either downregulated or overexpressed in human hematopoietic stem and progenitor cells and this resulted in complementary and transcript-specific DNA methylation and gene expression changes. Functional analysis indicated that particularly transcript 2 (coding for DNMT3A2) activates proliferation and induces loss of a primitive immunophenotype, whereas transcript 4 interferes with colony formation of the erythroid lineage. Notably, in acute myeloid leukemia (AML) expression of transcript 2 correlates with its in vitro DNA methylation and gene expression signatures and is associated with overall survival, indicating that DNMT3A variants impact also on malignancies. Our results demonstrate that specific DNMT3A variants have distinct epigenetic and functional impact. Particularly DNMT3A2 triggers hematopoietic differentiation and the corresponding signatures are reflected in AML.

cell biology↗

Leukocyte counts based on site-specific DNA methylation analysis

The composition of white blood cells is usually assessed by histomorphological parameters or flow cytometric measurements. Alternatively, leukocyte differential counts (LDCs) can be estimated by deconvolution algorithms for genome-wide DNA methylation (DNAm) profiles. We identified cell-type specific CG dinucleotides (CpGs) that facilitate relative quantification of leukocyte subsets. Site-specific analysis of DNAm levels by pyrosequencing provides similar precision of LDCs as conventional methods, whereas it is also applicable to frozen samples and requires only very small volumes of blood. Furthermore, we describe a new approach for absolute quantification of cell numbers based on a non-methylated reference DNA. Our \"Epi-Blood-Count\" facilitates robust and cost effective analysis of blood counts for clinical application.

molecular biology↗