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PrenatalStressOmics

Prenatal Stress Investigation in Cerebral Organoids: a multi-omics study at the level of single cells

Total Cost €

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EC-Contrib. €

0

Partnership

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 PrenatalStressOmics project word cloud

Explore the words cloud of the PrenatalStressOmics project. It provides you a very rough idea of what is the project "PrenatalStressOmics" about.

techniques    context    cells    stem    psychiatric    recapitulate    gcs    mental    underpinnings    types    25    organoids    stress    hormone    epigenome    disturbances    stressed    intervention    placement    epigenetic    cell    tissues    adversities    fine    identification    deconstruct    longitudinal    cohorts    clinical    tools    dimensional    glucocorticoids    mediated    molecular    progress    model    neurobiology    animal    risk    primary    individual    vulnerability    questions    mothers    mediators    unstressed    populations    tissue    elevated    elucidating    exposure    precipitated    cerebral    disease    transitions    heterogeneity    gc    models    pave    organism    population    pregnancy    translation    sequencing    basic    share    transcriptomes    made    imperative    disorders    powerful    expedite    mechanisms    strategies    organoid    causing    babies    brain    developmental    prenatal    underwent    period    human    culture    illnesses    life    quantified   

Project "PrenatalStressOmics" data sheet

The following table provides information about the project.

Coordinator
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV 

Organization address
address: HOFGARTENSTRASSE 8
city: MUENCHEN
postcode: 80539
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 171˙460 €
 EC max contribution 171˙460 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2019
 Duration (year-month-day) from 2019-02-01   to  2021-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV DE (MUENCHEN) coordinator 171˙460.00

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 Project objective

Mental illnesses affect 25% of the EU population and share increased disease risk through long-term changes to the stress hormone system. These are precipitated as adversities during early life, including the prenatal period. Given the role of stress in causing mental illnesses, it is imperative to learn more about the molecular mechanisms involved. Some progress has been made in elucidating the neurobiology of stress, but many questions cannot be addressed with current tools, which include animal models and 2-dimensional human cell culture systems. This proposal aims to establish 3-dimensional culture systems called cerebral organoids – stem-cell-derived tissues that recapitulate features of the human brain – as research models for developmental psychiatric disturbances. We will focus on glucocorticoids (GCs), some of the primary mediators of stress exposure on the organism, and use organoids as a model of early developing brain. Molecular mechanisms will be compared between ‘stressed’ and ‘unstressed’ conditions, by sequencing the transcriptomes of individual cells. Furthermore, since stress-related disorders are mediated through epigenetic mechanisms, the impact of elevated GC exposure on specific cell types in the cerebral organoid model will be quantified at the epigenome level. These novel and powerful techniques will allow us to deconstruct tissue heterogeneity, elucidating the fine molecular underpinnings of human vulnerability and response to stress. Comparing findings to evidence from longitudinal human cohorts of mothers and their babies who underwent stress during pregnancy will allow placement of findings into the clinical context. This research would pave the way for translation into clinical research, and expedite transitions from basic research to identification of at-risk populations, and even intervention strategies.

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