Carbon (CI) and energy intensity (EI) dataset for retail stores

Transparency data associated with this article can be found in the online version at: https://doi.org/10.1016/j.dib.2018.10.080This data article presents data collected from the 250 highest revenue retailers around the world, assessed according to publicly available data from the fiscal year 2016, in order to determine retailer?s overall carbon intensity (CI) and energy intensity (EI). Data collection included additional variables such as retailers? revenue rank, operational typology, number of stores, store sales area and number of workers. CI and EI benchmarks were calculated for food and non-food retailers, applying the statistic function first quartile (Q1) for the best practice, second (Q2) and third (Q3) quartiles for conventional practice and fourth quartile (Q4) for worst practice. Correlations were tested between the variables "EI", "CI" and "retailer revenue", applying the statistic function CORREL. Finally, a cluster analysis was performed for food and non-food retailers, to identify possible segmentation patterns between the variables ?EI?, ?CI? and ?retailer revenue?. The information provided in this data article is useful for furthering research developments on the influence of isolated variables on retail EI and CI and in assisting retailers, architects, engineers, and policy makers in establishing optimal energy performance goals for the design and operation of retail stores. For further data interpretation and discussion, see the article ?Combined carbon and energy intensity benchmarks for sustainable retail stores?[1], of the same authors.This work was supported by FCT - Fundação para a Ciência e Tecnologia [grant number PD/BD/127852/2016] under the Doctoral Program EcoCoRe - Eco-Construction and Rehabilitation.info:eu-repo/semantics/publishedVersio

Combined carbon and energy intensity benchmarks for sustainable retail stores

Retail stores are amongst the building typologies with the highest carbon (CI) and energy intensities (EI). However, previous studies have only explored the EI of food and non-food retailers. This study is the first of its kind to examine the link between CI and EI. Establishing the nature of this link will allow a deeper understanding of how to decarbonize the retail sector. Here, we hypothesised whether in retail low EI correlated with low CI and how corporate revenue affected these variables. ?Best practice? and ?conventional practice? benchmarks were then developed to assess retail buildings' sustainability. These represent missing and highly desirable tools in retail sustainable management. Average EI and CI of food retailers were twice that of non-food retailers (EI-548 vs 238?kWh/m2/y; CI266 vs 132?kg CO?eq/m2/y). The correlation found between EI and CI indicates that low energy consumption leads to low greenhouse gas (GHG) emissions. CI variability resulted mostly of energy-efficiency strategies, of the energy production process and of GHG emissions from refrigeration systems. EI variability resulted mostly from store typology, volume and usage. The proposed benchmarks help to set energy and carbon reference performance levels in retail buildings and to stimulate best sustainable practice amongst retailers.This work was supported by FCT - Fundação para a Ciência e Tecnologia [grant number PD/BD/127852/2016] under the Doctoral Program EcoCoRe - Eco-Construction and Rehabilitation. Support from CERIS and Instituto Superior Técnico is also acknowledged.info:eu-repo/semantics/publishedVersio

Mass spectrometry‑based identification of peptides presented by major histocompatibility complex in macrophages

Immunopeptidomics is a field of research that has progressed in thelast years due to advances in sophisticated analytical techniquesbased on mass spectrometry and bioinformatics. The ability to identifymolecules to the extent of a single ion led to a step forward inimmunopeptidomics. Mass spectrometry enables the identificationof thousands of peptide sequences in a single sample, thus providinglarge-scale reliable information. The immunopeptidome is the entire group of peptides presented by the major histocompatibility complexClass-I (MHC-I), at the surface of all nucleated cells and Class II, at thesurface of professional antigen presenting cells. The MHC-bound peptidesare recognized by T cells and constitute the immunological synapse,leading to the initiation of the adaptive immune response. Underpathological conditions, peptides originating from the proteolysis ofpathogen proteins are presented to the cells of the host immune systemvia MHC. Thus, the identification of pathogen peptides throughimmunopeptidomics is an unbiased method for understanding thegeneration of adaptive immune responses against pathogens.Here we describe the establishment of a new mass spectrometrybasedimmunopeptidomics platform for peptide identification inphysiological and pathological conditions. Using the macrophage cellline with THP-1, with a known HLA-type, we were able to identify atotal of 2913 unique MHC-I bound peptides. The peptide length distribution,NetMHCpan-4.1 rank affinity, and best match HLA bindingallele for each peptide will be presented.Finally, identifying MHC-I and MHC-II peptides under physiologicaland pathological conditions could uncover the most relevant peptidesable to stimulate the right type of T-cell response for vaccine designand development.info:eu-repo/semantics/publishedVersio

Expression of monocarboxylate transporters 1, 2, and 4 in human tumours and their association with CD147 and CD44

Expression of monocarboxylate transporters 1, 2, and 4 in human tumours and their association with CD147 and CD44.Monocarboxylate transporters (MCTs) are important cellular pH regulators in cancer cells; however, the value of MCT expression in cancer is still poorly understood. In the present study, we analysed MCT1, MCT2, and MCT4 protein expression in breast, colon, lung, and ovary neoplasms, as well as CD147 and CD44. MCT expression frequency was high and heterogeneous among the different tumours. Comparing with normal tissues, there was an increase in MCT1 and MCT4 expressions in breast carcinoma and a decrease in MCT4 plasma membrane expression in lung cancer. There were associations between CD147 and MCT1 expressions in ovarian cancer as well as between CD147 and MCT4 in both breast and lung cancers. CD44 was only associated with MCT1 plasma membrane expression in lung cancer. An important number of MCT1 positive cases are negative for both chaperones, suggesting that MCT plasma membrane expression in tumours may depend on a yet nonidentified regulatory protein.Celine Pinheiro received a Ph.D. fellowship from the Portuguese Science and Technology Foundation (SFRH/BD/27465/2006). The authors acknowledge NCI (National Cancer Institute) Tumour Repository MTA, MD, USA for the multitumour tissue microarray (TARP)

Expression of Monocarboxylate Transporters 1, 2, and 4 in Human Tumours and Their Association with CD147 and CD44

Monocarboxylate transporters (MCTs) are important cellular pH regulators in cancer cells; however, the value of MCT expression in cancer is still poorly understood. In the present study, we analysed MCT1, MCT2, and MCT4 protein expression in breast, colon, lung, and ovary neoplasms, as well as CD147 and CD44. MCT expression frequency was high and heterogeneous among the different tumours. Comparing with normal tissues, there was an increase in MCT1 and MCT4 expressions in breast carcinoma and a decrease in MCT4 plasma membrane expression in lung cancer. There were associations between CD147 and MCT1 expressions in ovarian cancer as well as between CD147 and MCT4 in both breast and lung cancers. CD44 was only associated with MCT1 plasma membrane expression in lung cancer. An important number of MCT1 positive cases are negative for both chaperones, suggesting that MCT plasma membrane expression in tumours may depend on a yet nonidentified regulatory protein

Expression of Monocarboxylate Transporters 1, 2, and 4 in Human Tumours and Their Association with CD147 and CD44

Monocarboxylate transporters (MCTs) are important cellular pH regulators in cancer cells; however, the value of MCT expression in cancer is still poorly understood. In the present study, we analysed MCT1, MCT2, and MCT4 protein expression in breast, colon, lung, and ovary neoplasms, as well as CD147 and CD44. MCT expression frequency was high and heterogeneous among the different tumours. Comparing with normal tissues, there was an increase in MCT1 and MCT4 expressions in breast carcinoma and a decrease in MCT4 plasma membrane expression in lung cancer. There were associations between CD147 and MCT1 expressions in ovarian cancer as well as between CD147 and MCT4 in both breast and lung cancers. CD44 was only associated with MCT1 plasma membrane expression in lung cancer. An important number of MCT1 positive cases are negative for both chaperones, suggesting that MCT plasma membrane expression in tumours may depend on a yet nonidentified regulatory protein

Maize IgE binding proteins: each plant a different profile?

Background: Allergies are nearly always triggered by protein molecules and the majority of individuals with documented immunologic reactions to foods exhibit IgE hypersensitivity reactions. In this study we aimed to understand if natural differences, at proteomic level, between maize populations, may induce different IgE binding proteins profiles among maize-allergic individuals. We also intended to deepen our knowledge on maize IgE binding proteins. Results: In order to accomplish this goal we have used proteomic tools (SDS-PAGE and 2-D gel electrophoresis followed by western blot) and tested plasma IgE reactivity from four maize-allergic individuals against four different protein fractions (albumins, globulins, glutelins and prolamins) of three different maize cultivars. We have observed that maize cultivars have different proteomes that result in different IgE binding proteins profiles when tested against plasma from maize-allergic individuals. We could identify 19 different maize IgE binding proteins, 11 of which were unknown to date. Moreover, we found that most (89.5%) of the 19 identified potential maize allergens could be related to plant stress. Conclusions: These results lead us to conclude that, within each species, plant allergenic potential varies with genotype. Moreover, considering the stress-related IgE binding proteins identified, we hypothesise that the environment, particularly stress conditions, may alter IgE binding protein profiles of plant components

Proteomic analysis of three Coffee Leaf Rust races with different pathogenic behavior

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