Budget, Indicators and Management Performance of the Brazilian Federal Universities
ADMINISTRACAO PUBLICA E GESTAO SOCIAL
Authors: Santos, Alexandre Rodrigues; Barbosa, Flavia Lorenne Sampaio; Martins, Daniel Felipe Victor; de Moura, Heber Jose
Abstract
This study aims to analyze the Brazilian federal institutions of higher education (FIGE) regarding the degree of efficiency of the funds invested based on the management indicators of the Court of Audit (CA). Using secondary data extracted from the management reports of the federal universities concerning the financial year 2013, it was set a sample of 42 FIGEs that by applying multivariate statistical techniques such as multiple linear regression made it possible to measure the relationship between management indicators and budget implementation. By applying a multiple regression model, such as cluster analysis, we sought to identify the similarities among the results of management indicators. The analysis found that CCAPES and IQCD variables strongly influenced budget application, as it presented the opposite effect between the two most relevant variables for the evaluation of the FIGEs, namely: postgraduate education and teacher qualification.
Chromosome-centric Human Proteome Project: Deciphering Proteins Associated with Glioma and Neurodegenerative Disorders on Chromosome 12
JOURNAL OF PROTEOME RESEARCH
Authors: Gupta, Manoj Kumar; Jayaram, Savita; Madugundu, Anil K.; Chavan, Sandip; Advani, Jayshree; Pandey, Akhilesh; Thongboonkerd, Visith; Sirdeshmukh, Ravi
Abstract
In line with the aims of the Chromosome-centric Human Proteome Project (C-HPP) to completely annotate proteins of each chromosome and biology/disease driven HPP (B/D-HPP) to decipher their relation to diseases, we have generated a nonredundant catalogue of protein-coding genes for Chromosome 12 (Chr. 12) and further annotated proteins associated with major neurological disorders. Integrating high level proteomic evidence from four major databases (neXtProt, Global Proteome Machine (GPMdb), PeptideAtlas, and Human Protein Atlas (HPA)) along with Ensembl data resource resulted in the identification of 1066 protein coding genes, of which 171 were defined as "missing proteins" based on the weak or complete absence of experimental evidence. With functional annotations using DAVID and GAD, about 40% of the proteins could be grouped as brain related with implications in cancer or neurological disorders. We used published and unpublished high confidence mass spectrometry data from our group and other literature consisting of more than 5000 proteins derived from clinical specimens from patients with human gliomas, Alzheimer's disease, and Parkinson's disease and mapped it onto Chr. 12. We observed a total of 202 proteins mapping to human Chr. 12, 136 of which were differentially expressed in these disease conditions as compared to the normal. Functional grouping indicated their association with cell cycle, cell-to-cell signaling, and other important processes and networks, whereas their disease association analysis confirmed neurological diseases and cancer as the major group along with psycological disorders, with several overexpressed genes/proteins mapping to 12q13-15 amplicon region. Using multiple strategies and bioinformatics tools, we identified 103 differentially expressed proteins to have secretory potential, 17 of which have already been reported in direct analysis of the plasma or cerebrospinal fluid (CSF) from the patients and 21 of them mapped to cancer associated protein (CAPs) database that are amenable to selective reaction monitoring (SRM) assays for targeted proteomic analysis. Our analysis also reveals, for the first time, mass spectrometric evidence for two "missing proteins" from Chr. 12, namely, synaptic vesicle 2-related protein (SVOP) and IQ motif containing D (IQCD). The analysis provides a snapshot of Chr. 12 encoded proteins associated with gliomas and major neurological conditions and their secretability which can be used to drive efforts for clinical applications.