Biology subjects

Trzeciak, M.

Publications and source records attributed to Trzeciak, M..

4 recordsLinked to original sources

bioRxiv2026

A cholinergic eligibility trace facilitates amygdala plasticity in flavour avoidance learning

When an animal consumes a new food and consequently feels ill, it rapidly and robustly learns to avoid this food in the future, a form of learning termed conditioned flavour avoidance (CFA). Postingestive malaise often occurs long after novel food consumption, necessitating a neural mechanism that can facilitate plasticity between temporally distant events. Neuromodulators, acting through G-protein-coupled receptors (GPCRs) that can influence neuronal excitability on extended timescales, may facilitate this process. The projection of parabrachial (PB) Calca neurons to the central amygdala (CeA) is critical for formation of CFA. Here, we demonstrate that these neurons overlap with a PB population that releases acetylcholine (ACh) in the CeA. ACh is released in CeA during consumption of a novel solution and subsequent visceral malaise, consistent with a role in CFA acquisition. Two-photon calcium imaging in brain slices reveals that ACh widely activates CeA neurons and enhances glutamatergic responsivity on a timescale consistent with CFA learning. CRISPR-Cas9-mediated genetic knockdown and optogenetics demonstrate that ACh from PB facilitates CFA behavior. Large-scale neuronal recordings in the CeA along with our CRISPR approach reveal that loss of ACh signaling to CeA blocks key signatures of CFA-associated plasticity. Together, these data point to the cholinergic input from PB to central amygdala as a critical neuromodulatory signal that links activity over long timespans to facilitate associative learning in CFA.

neuroscience↗

bioRxiv2025

A neuropeptide-specific signaling pathway for state-dependent regulation of the mesolimbic dopamine system

Dopamine (DA)-producing neurons of the ventral tegmental area (VTA) regulate consummatory behavior in a state-dependent manner (e.g. when hungry or thirsty). The mechanisms by which and extent to which DA neurons are regulated by these interoceptive signals are poorly understood. Here, we identify transient receptor potential canonical type 6 (TRPC6) channels as selective mediators of neuropeptide receptor-induced calcium signaling in VTA-DA neurons. These channels regulate DA neuron activity and consummatory behavior in a state-dependent manner. We find that TRPC6 channels regulate distinct aspects of neuropeptide-induced calcium signals in DA neurons but make little contribution to calcium dynamics associated with metabotropic neurotransmitter receptor signaling. We further show that TRPC6 channels regulate scalable reward valuation and consummatory behavior in hungry but not thirsty mice. These findings demonstrate that neuropeptide-and neurotransmitter-activated G-protein coupled receptors (GPCRs) regulate cellular calcium dynamics through distinct mechanisms, and that TRPC6 channels are important determinants of how animals respond to different homeostatic demands.

neuroscience↗

bioRxiv2019

Repeated treatment with cocaine or methamphetamine increases CRF2 and decreases astrocytic markers in the ventral tegmental area and substantia nigra

Dopamine neurons in the substantia nigra (SN) and ventral tegmental area (VTA) play a crucial role in the reinforcing properties of abused drugs including methamphetamine and cocaine. Evidence also suggests the involvement of non-dopaminergic transmitters, including glutamate and the stress-related peptide corticotropin-releasing factor (CRF), on the chronic effects of psychostimulants in the SN/VTA. Astrocytes express a variety of membrane-bound neurotransmitter receptors and transporters which influence neurotransmission in the SN/VTA. CRF2 activity in the VTA is important for stress-induced relapse and drug-seeking behavior, but the localization of its effects are not completely understood. Here we used immunofluorescence to identify the effect of methamphetamine and cocaine administration on astrocytes, the glial glutamate transporter GLAST, and CRF2 in the SN/VTA. We treated adult male mice with i.p. injections of methamphetamine (3 mg/kg), cocaine (10 mg/kg), or saline for 12 days. Coronal brain sections were processed for immunofluorescence using S100{beta} (marker for astrocytes), glial-specific glutamate/aspartate transporters (GLAST), and CRF2. The results showed a significant decrease in GLAST immunofluorescence in brains of mice treated with cocaine or methamphetamine compared to saline. In addition, we observed increased labelling of CRF2 in drug treated groups, a decrease in the number of S100{beta} positive cells, and an increase in co-staining of these two markers. Our results suggest that administration of either methamphetamine or cocaine decreases astrocytic markers and increases immunoreactivity for CRF2 in the VTA, an effect that is most pronounced in S100{beta} positive cells.

neuroscience↗

bioRxiv2018

A data mining paradigm for identifying key factors in biological processes using gene expression data

A large volume of biological data is being generated for studying mechanisms of various biological processes. These precious data enable large-scale computational analyses to gain biological insights. However, it remains a challenge to mine the data efficiently for knowledge discovery. The heterogeneity of these data makes it difficult to consistently integrate them, slowing down the process of biological discovery. We introduce a data processing paradigm to identify key factors in biological processes via systematic collection of gene expression datasets, primary analysis of data, and evaluation of consistent signals. To demonstrate its effectiveness, our paradigm was applied to epidermal development and identified many genes that play a potential role in this process. Besides the known epidermal development genes, a substantial proportion of the identified genes are still not supported by gain- or loss-of-function studies, yielding many novel genes for future studies. Among them, we selected a top gene for loss-of-function experimental validation and confirmed its function in epidermal differentiation, proving the ability of this paradigm to identify new factors in biological processes. In addition, this paradigm revealed many key genes in cold-induced thermogenesis using data from cold-challenged tissues, demonstrating its generalizability. This paradigm can lead to fruitful results for studying molecular mechanisms in an era of explosive accumulation of publicly available biological data.

bioinformatics↗