Discovery of intrinsically disordered sequences conferring desiccation survival
Sector: Education • Location: United Kingdom
Source: EU Funding & Tenders Portal
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 sh
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Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
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Description
Description | 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. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
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Location
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Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
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