Explore the words cloud of the Desiccation Survival project. It provides you a very rough idea of what is the project "Desiccation Survival" about.
The following table provides information about the project.
UNITED KINGDOM RESEARCH AND INNOVATION
|Coordinator Country||United Kingdom [UK]|
|Total cost||212˙933 €|
|EC max contribution||212˙933 € (100%)|
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
|Duration (year-month-day)||from 2019-04-01 to 2021-03-31|
Take a look of project's partnership.
|1||UNITED KINGDOM RESEARCH AND INNOVATION||UK (SWINDON)||coordinator||212˙933.00|
Desiccation is a form of stress wherein extremely dry conditions cause intracellular proteins to unfold and aggregate irreversibly, resulting in cell-death. How do cells and organisms survive desiccation is a fundamental question in biology. Cytosolic Abundant Heat Soluble (CAHS) proteins, a family of intrinsically disordered proteins (IDPs) in tardigrades (a phylum of micro-animals), have been shown to be important for their survival during long periods of dryness. Under desiccation condition, CAHS proteins undergo glass-transition and gelation to form vitrified solids that protect intracellular proteins from unfolding and aggregation. However, the features of CAHS proteins that confer protection are unknown. Here, I aim to unravel the sequence determinants of CAHS protein functions, by addressing 3 specific questions:
Aim 1: What are the sequence features that promote glass-transition and gelation in CAHS proteins? Aim 2: Can we discover new sequences that can rescue cells from desiccation? Aim 3: What is the sequence-to-function paradigm underlying IDP-mediated desiccation survival?
I will (i) perform computational analysis of existing CAHS proteins to extract their sequence features to design a library for adequate sampling of the sequence space; (ii) screen the library with a high-throughput survival-based assay and validate the hits both in vitro and in vivo; (iii) analyse the results with machine learning algorithms to generate characteristic sequence features underlying protective glass-transition. The learned features will be tested by rationally designing and screening a new sequence library for desiccation survival. This project will provide fundamental sequence-level understanding of how IDPs promote stress response, specifically via glass-transition during desiccation. Moreover, the materials and pipeline generated and the findings of this study will aid in engineering functional biomaterials.
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The information about "DESICCATION SURVIVAL" are provided by the European Opendata Portal: CORDIS opendata.
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