br Specifications Table br Value of

Specifications Table
Value of the data
Data Data shows increase in gene expression in ischemic muscles than healthy muscles upon direct administration of pDNA or pDNA/Pluronic (Fig. 2). The gene expression colocalized with inflammatory Amyloid Beta-peptide (25-35) (MØs) and the spread of overall GFP expression was higher in ischemic muscles injected with pDNA/block copolymer than naked pDNA alone (Figs. 3–5). Coculture of transfected MØs with muscle cells shows gene transfer across cell membranes resulting in GFP+ muscle cells (Fig. 8) and enhanced total gene expression in coculture which further increase upon treatment with block copolymers (Figs. 10, 12 and 13).
Experimental design, materials and methods
Acknowledgments This work was supported in parts by the National Institutes of Health Grants R01 CA116591 (AVK), the Department of Defense Grant W81XWH-09-1-0386 (AVK), Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under Grant P20GM103480, The Carolina Partnership, a strategic partnership between the UNC Eshelman School of Pharmacy, The University Cancer Research Fund through the Lineberger Comprehensive Cancer Center, and the American Heart Association fellowship 0610065Z (ZG). The assistance of the following individuals at UNMC is also gratefully acknowledged: Maram Reddy, Prasanna K. Reddy, (assistance in establishing MHLIM); Janice A. Taylor and James R. Talaska (confocal microscopy); Margaret A. Jennings (histology and IHC); Terence A. Lawson (in vivo imaging); and Dominic Moore (statistical analysis). These studies were carried out using the UNMC Confocal Laser Scanning Microscope and Flow Cytometry Research Cores and UNC-CH Microscopy services laboratories, Department of Pathology and Laboratory Medicine core facilities.
Data The data contains 467 technology entries with 670 emissions inputs from 265 papers [1–265]. Many papers contained data on more than one animal/poultry species, technology and/or an air pollutant emission. Of those 670 emissions inputs, only ~35% of data pertain to farm/field-scale testing. Similarly,~19% of data in the manure storage and handling category,~63% in the manure land application category, and ~43% in the housing category pertain to farm/field-scale. Technologies that were tested at farm/field-scale and had reported emissions reduction > 66% shown in Table 1. These technologies are also highlighted with green color in data (i.e., in three Supplemental Material spreadsheets for Animal Housing, Land Application, and Manure Storage & Handling, respectively). Selected summary of data for the average % reductions in this database is shown in Tables 2–5. Table 1 summarizes technologies that had % reductions >66% for at least one target air pollutant. The following list is a count of specific data categories out of the 467 technology inputs: The 670 emission inputs consisted of: Complete data can be accessed from public repository: The Air Management Practices Tool (AMPAT) available at Extension and Outreach website, http://www.agronext.iastate.edu/ampat/.
Experimental design, materials and methods The literature review consisted of four steps (Fig. 1) including (1) compilation of literature, (2) review of experimental information (reference, experimental design, technology performance, scope of study, etc.), (3) compilation and organization of study information into standardized spreadsheets, and (4) evaluation of technology and coding for mitigation performance. The literature database construction started with compiling literature with the use of online scientific databases, such as Web of Science. Database searches were performed with the keywords: The compiled literature was then reviewed and relevant information regarding the experiments conducted, technologies used, emission that were measured, reduction of those emissions, year of publication, DOI or link to literature, cost of implementing the technology, and full reference were extracted. The extracted information was then compiled in standardized spreadsheets according to species and source of emission: housing, manure storage and handling, or manure land application (Fig. 2). If percent emission reductions were not explicedly given in the literature it was calculated if enough other information was avalible using Eq. (1).