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1.
Curr Biol ; 34(11): 2448-2459.e4, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38754425

ABSTRACT

Adaptive behavioral responses to stressors are critical for survival. However, which brain areas orchestrate switching the appropriate stress responses to distinct contexts is an open question. This study aimed to identify the cell-type-specific brain circuitry governing the selection of distinct behavioral strategies in response to stressors. Through novel mouse behavior paradigms, we observed distinct stressor-evoked behaviors in two psycho-spatially distinct contexts characterized by stressors inside or outside the safe zone. The identification of brain regions activated in both conditions revealed the involvement of the dorsomedial hypothalamus (DMH). Further investigation using optogenetics, chemogenetics, and photometry revealed that glutamatergic projections from the DMH to periaqueductal gray (PAG) mediated responses to inside stressors, while GABAergic projections, particularly from tachykinin1-expressing neurons, played a crucial role in coping with outside stressors. These findings elucidate the role of cell-type-specific circuitry from the DMH to the PAG in shaping behavioral strategies in response to stressors. These findings have the potential to advance our understanding of fundamental neurobiological processes and inform the development of novel approaches for managing context-dependent and anxiety-associated pathological conditions such as agoraphobia and claustrophobia.


Subject(s)
Brain Stem , Stress, Psychological , Animals , Mice , Male , Brain Stem/physiology , Periaqueductal Gray/physiology , Mice, Inbred C57BL , Neural Pathways/physiology , Optogenetics , Hypothalamus/physiology , Neurons/physiology
2.
Exp Eye Res ; 237: 109674, 2023 12.
Article in English | MEDLINE | ID: mdl-37838300

ABSTRACT

Eye development and function rely on precise establishment, regression and maintenance of its many sub-vasculatures. These crucial vascular properties have been extensively investigated in eye development and disease utilizing genetic and experimental mouse models. However, due to technical limitations, individual studies have often restricted their focus to one specific sub-vasculature. Here, we apply a workflow that allows for visualization of complete vasculatures of mouse eyes of various developmental stages. Through tissue depigmentation, immunostaining, clearing and light-sheet fluorescence microscopy (LSFM) entire vasculatures of the retina, vitreous (hyaloids) and uvea were simultaneously imaged at high resolution. In silico dissection provided detailed information on their 3D architecture and interconnections. By this method we describe successive remodeling of the postnatal iris vasculature, involving sprouting and pruning, following its disconnection from the embryonic feeding hyaloid vasculature. In addition, we demonstrate examples of conventional and LSFM-mediated analysis of choroidal neovascularization after laser-induced wounding, showing added value of the presented workflow in analysis of modelled eye disease. These advancements in visualization and analysis of the respective eye vasculatures in development and complex eye disease open for novel observations of their functional interplay at a whole-organ level.


Subject(s)
Eye Diseases , Retina , Mice , Animals , Microscopy, Fluorescence/methods
3.
Int J Mol Sci ; 22(12)2021 Jun 14.
Article in English | MEDLINE | ID: mdl-34198491

ABSTRACT

Rare germline pathogenic TP53 missense variants often predispose to a wide spectrum of tumors characterized by Li-Fraumeni syndrome (LFS) but a subset of variants is also seen in families with exclusively hereditary breast cancer (HBC) outcomes. We have developed a logistic regression model with the aim of predicting LFS and HBC outcomes, based on the predicted effects of individual TP53 variants on aspects of protein conformation. A total of 48 missense variants either unique for LFS (n = 24) or exclusively reported in HBC (n = 24) were included. LFS-variants were over-represented in residues tending to be buried in the core of the tertiary structure of TP53 (p = 0.0014). The favored logistic regression model describes disease outcome in terms of explanatory variables related to the surface or buried status of residues as well as their propensity to contribute to protein compactness or protein-protein interactions. Reduced, internally validated models discriminated well between LFS and HBC (C-statistic = 0.78-0.84; equivalent to the area under the ROC (receiver operating characteristic) curve), had a low risk for over-fitting and were well calibrated in relation to the known outcome risk. In conclusion, this study presents a phenotypic prediction model of LFS and HBC risk for germline TP53 missense variants, in an attempt to provide a complementary tool for future decision making and clinical handling.


Subject(s)
Breast Neoplasms/genetics , Genetic Association Studies , Genetic Predisposition to Disease , Li-Fraumeni Syndrome/genetics , Mutation, Missense/genetics , Tumor Suppressor Protein p53/chemistry , Tumor Suppressor Protein p53/genetics , Amino Acid Sequence , Female , Germ-Line Mutation/genetics , Humans , Logistic Models , Multivariate Analysis , Phenotype , Protein Conformation
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