Dataset for "Membrane extraction with styrene-maleic acid copolymer results in insulin receptor autophosphorylation in the absence of ligand"

The data was collected to establish whether the insulin receptor maintained its native functionality once extracted into polymer nanodiscs using styrene maleic acid (SMA). The data gathered here show the raw .tiff files of the western blots. Differences in protein activity were quantified by comparing changes between total and phospho- antibody detection, using densitometry. Downstream subunits associated with the insulin receptor cascade were also quantified in this way. .zip file containing the following items; 1. all raw .tiff files gathered from western blots used for quantification. A MS excel spreadsheet is also included to indicate which bands from the experiments were used for each quantification. 2. all raw .tiff files used for representative blots in each figure, with MS Powerpoint document to show annoted versions for these images. 3. READ_ME.txt file to further describe the data present. 4. Excel spreadsheet with raw data values from densitometry analysis from western blots, representative western blots for each experiment, calculations from the densitometry values and statistics associated with these values

Dataset for "Development of Methodology to Investigate the Surface SMALPome of Mammalian Cells"

The purpose behind obtaining this data was to determine whether there were any differences between biotinylated surface membrane proteins that were extracted using styrene maleic acid (SMA), compared to detergent buffer (SDS/Sodium deoxycholate/NP-40). Here, Excel spreadsheets which contain raw datasets from mass-spectroscopy proteomics are present. Subsequent datasets are also included, following filters described in "Development of methodology to investigate the surface SMALPome of mammalian cells"

Dataset for "Physiochemical Changes to TTCF Ensilication Investigated Using Time-Resolved SAXS"

This dataset contains the SAXS data obtained at the European Synchrotron Radiation Facility beamline ID02. All normalised SAXS data files and processed fitting including visualisation data via MatLab is included. All relevant data to the presented figures/table in the article is contained within this archive

Data from "The impact of long-term physical inactivity on adipose tissue immunometabolism"

This dataset provides all the raw data collected for a trial investigating the impact of long-term physical inactivity in the form of head-down bed rest on adipose tissue immunometabolism in young (20–45 yrs), healthy males. This project was conducted as part of a larger, international investigation conducted by the European Space Agency (AO-BR-13) in the MEDES Facility, Toulouse, France. Participants were recruited by international advertisement. The trial was conducted in accordance with Guidelines for Conducting Bed Rest Studies (Heer et al, 2009). All participants were confined to the clinical facility for 14 days prior to commencing bed rest, which was then undertaken for 60 days, followed by a 14 day recovery period. Baseline Characteristics data at the moment of entry to the clinical facility is reported in Tab 1. The ESA medical staff at the MEDES facility undertook the day-to-day running of the study. Diet was formulated and produced in-house. Exact portion sizes and foods/fluids not consumed were recorded by weighed inventory, along with food types consumed at each meal on each day of the study. Diet data (macro and micronutrient) for days pertaining to CGMS analyses conducted here (BDC-8, -7 and HDT+53, +55) are reported in Tab 2. Bloods were taken on the mornings of the adipose biopsies, immediately upon awaking, in the fasted state, data are presented in Tab 8 for plasma protein analysis, and Tab 3 for PBMC analysis by flow cytometry. Following blood extraction, participants underwent and adipose tissue biopsy conducted by a surgeon. Adipose was extracted by needle aspiration from the abdominal subcutaneous adipose tissue, 5cm lateral to the umbilicus. Whole adipose tissue was partitioned as outlined in Figure B, below. Immunoblotting (Tab 10) and rtPCPR (Tab 9) was carried out on whole- adipose tissue; ex vivo culturing of whole adipose tissue (Tab 7) was performed for 3 h upon collection; flow cytometry was also conducted on digested adipose tissue (Tab 3). For 5 days pre- and at the end of bed rest continuous glucose monitoring probes were inserted into the back of the participants arm, with the probe inserted subcutaneously. These data are presented in Tab 5. Urine samples (2mL) were collected from each void across a 24 hour period before and at the end of bed rest and analysed for glucose concentrations (Tab 6. All biological data can be found in respective tabs. References: Heer, M., Liphardt, A., and Frings-Meuthen, P. (2009). Standardisation of bed rest study conditions. Hamburg: DLR Institute of Aerospace Medicine

Dataset for "Divergent immunometabolic changes in adipose tissue and skeletal muscle with ageing in healthy humans"

This dataset provides all the raw data collected for a trial investigating the impact of ageing on adipose tissue, skeletal muscle, and systemic inflammatory and metabolic health in healthy, active, and non-obese Younger (20–35 years) and Older (60–85 years) males. This trial was a cross-sectional characterisation investigating the biological effects of ageing, in humans

Dataset for "Thermal resilience of ensilicated lysozyme via calorimetric and in vivo analysis"

This dataset contains a variety of data formats used to characterise the thermal resilience of ensilicated lysozyme. All raw data formats have been converted to *.csv or similar Excel format, which is editable. MATLAB is used to generate all graphs and files have been included in each folder where applicable. Specifically, data were generated using analytical methods such a differential scanning calorimetry, circular dichroism spectroscopy, enzyme-linked immunosorbent assay (ELISA) and thermogravimetric analysis. Data is sorted based on the figure order described in the article, including supplementary figures. Each folder contains a brief explanation on the contents

Prevalence and socio-demographic predictors of food insecurity among regional and remote Western Australian children

Objective: Inequities can negatively impact the health outcomes of children. The aims of this study were to: i) ascertain the prevalence of food insecurity (FI) among regional and remote Western Australian (WA) children; and ii) determine which socio-demographic factors predicted child FI. Methods: Caregiver-child dyads (n=219) completed cross-sectional surveys. Descriptive statistics and logistic regression analyses were conducted using IBM SPSS version 23. Results: Overall, 20.1% of children were classified as FI. Children whose family received government financial assistance were more likely to be FI (OR 2.60; CI 1.15, 5.91; p=0.022), as were children living in a Medium disadvantage area (OR 2.60; CI 1.18, 5.72; p=0.017), compared to High or Low SEIFA ratings. Conclusions: Study findings are suggestive of the impact low income has on capacity to be food secure. The higher FI prevalence among children from families receiving financial assistance and living in medium disadvantage areas indicates more support for these families is required. Recommendations include: ensuring government plans and policies adequately support disadvantaged families; increasing employment opportunities; establishing evidence on the causes and the potential impact of FI on children\u27s health. Implications for public health: One in five children were FI, demonstrating that FI is an issue in Western Australia