1. ABOUT THE DATASET
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Title:	Competition between cross-linking and force-induced local conformational changes determines the structure and mechanics of labile protein networks 

Creator(s): Matt D. G. Hughes [1], Daniel West† [1], Rebecca Wurr† [1], Sophie Cussons [2,3], Kalila R. Cook [1], Najet Mahmoudi [4], David Head [5], David J Brockwell [2,3] and Lorna Dougan* [1,2]

Organisation(s):    [1] School of Physics and Astronomy, Faculty of Engineering and Physical Sciences, University of Leeds, UK
                    [2] Astbury Centre for Structural Molecular Biology, University of Leeds, UK
                    [3] School of Molecular and Cellular Biology, Faculty of Biological Sciences, University of Leeds, UK
                    [4] ISIS Neutron and Muon Spallation Source, STFC Rutherford Appleton Laboratory, Oxfordshire, UK
                    [5] School of Computer Science, Faculty of Engineering and Physical Science, University of Leeds, UK

Rights-holder(s):Unless otherwise stated, Copyright 2024 University of Leeds

Publication Year: 2024

Description: This repository contains excel and text files of the raw rheological data and scattering data presented in the accociated publication below. 

Cite as: Hughes et al. (2024) [Dataset]Competition between cross-linking and force-induced local conformational changes determines the structure and mechanics of labile protein networks. https://doi.org/10.5518/1582

Related publication: Hughes et al. Competition between cross-linking and force-induced local conformational changes determines the structure and mechanics of labile protein networks. J. Colloid Interface Sci. Accepted (2024)  

Contact: L.Dougan@leeds.ac.uk


2. TERMS OF USE
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Copyright University of Leeds, 2024. Unless otherwise stated, this dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.]


3. PROJECT AND FUNDING INFORMATION
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Title: Exploiting Engineered Polyproteins in the Modular Design of Robust, Tuneable and Biofunctional Hydrogels
Dates: 01 March 2018 - 31 January 2024
Funding organisation: EPSRC
Grant no.: EP/ P02288X/1

Title: MESONET: Exploiting in situ protein unfolding to understand and control mesoscopic network formation
Dates: Aug 2022 - Aug 2027
Funding organisation: Horizon Europe Guarantee
Grant no.:EP/X023524/1

4. CONTENTS
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All data is split between 2 folders named rheology and SANS Data, which contain the raw data from experiments shown in the associated publication. Both data folders are further broken into 2 sub-folders pertaining to the two different sample sets i.e. mechanically robust BSA and force labile BSA. 

The SANS data folder contains dat files of the reduced SANS data listing: the 1D q-range, Intensity, Intensity Error and q error. Please note lamp illumination intensity values are included at the end of the file name in units of mW/cm^2

The Rheology data folder contains excel files containing: the raw data of the storage modulus gelation curves; and the storage and loss moduli freqeuncy sweeps. Please note lamp illumination intensity values are included at the top of spreadsheet columns in units of mW/cm^2


5. METHODS
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Experimental and analysis methods are outlined in the main manuscript and supplementary infomation.