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O Sisu e a escolha pelas licenciaturas da Universidade Federal de Viçosa

Thainara Cristina de Castro Ariovaldo, Cláudio Marques Martins Nogueira
2021 Estudos em Avaliação Educacional  
O objetivo deste trabalho é analisar como o Sistema de Seleção Unificada (Sisu) interferiu na escolha pelos cursos superiores na Universidade Federal de Viçosa, examinando principalmente as licenciaturas  ...  Os resultados demonstram que o Sisu influencia as escolhas dos estudantes, tornando-as mais estratégicas, e que as desigualdades sociais e escolares continuam delimitando as escolhas que são possíveis  ...  Assim, como os dados foram colhidos entre o ano 2016 e 2017, optamos por ingressantes de 2015 que já haviam passado pela fase inicial de https://doi.org/10.18222/eae.v32.6763 THAINARA CRISTINA DE CASTRO  ... 
doi:10.18222/eae.v32.6763 fatcat:i4yrcujnvfha3ferbe4casyhwa

Nova forma de acesso ao ensino superior público: um estado do conhecimento sobre o Sistema de Seleção Unificada - SiSU

Thainara Cristina de Castro Ariovaldo, Cláudio Marques Martins Nogueira
2017 Revista Internacional de Educação Superior  
Este trabalho apresenta um estado do conhecimento sobre o Sistema de Seleção Unificada - SiSU.  ...  Com base nestes dados, foi possível traçar um panorama da produção científica brasileira contemporânea sobre o SiSU, no âmbito dos programas de pós-graduação, identificando suas principais tendências,  ...  dados pelo Sistema de Seleção Unificado (SISU) através do desenvolvimento e análise de modelos estilizados, i.e., dos mecanismos SISUα e SISUβ.  ... 
doi:10.22348/riesup.v4i1.8650683 fatcat:lhdwf3wapjgmrhzrpc7byhgbam

Engineered model of t(7;12)(q36;p13) AML recapitulates patient-specific features and gene expression profiles [article]

Denise Ragusa, Ylenia Ciciro, Concetta Federico, Salvatore Saccone, Francesca Bruno, Reza Saeedi, Cristina Sisu, Cristina Pina, Arturo Sala, Sabrina Tosi
2022 bioRxiv   pre-print
Acute myeloid leukaemia carrying the translocation t(7;12)(q36;p13) is an adverse-risk leukaemia uniquely observed in infants. Despite constituting up to 30% of cases in under 2-year-olds, it remains poorly understood. Known molecular features are ectopic overexpression of the MNX1 gene and generation of a fusion transcript in 50% of patients. Lack of research models has hindered understanding of t(7;12) biology, which has historically focused on MNX1 overexpression rather than the cytogenetic
more » ... ntity itself. Here, we employed CRISPR/Cas9 to generate t(7;12) in the human K562 cell line, and in healthy CD34+ haematopoietic progenitors where the translocation was not sustained in long-term cultures or through serial replating. In contrast, in K562 cells, t(7;12) was propagated in self-renewing clonogenic assays, with sustained myeloid bias in colony formation and baseline depletion of erythroid signatures. Nuclear localisation analysis revealed repositioning of the translocated MNX1 locus to the interior of t(7;12)-harbouring K562 nuclei - a known phenomenon in t(7;12) patients which associates with ectopic overexpression of MNX1. Crucially, the K562-t(7;12) model successfully recapitulated the transcriptional landscape of t(7;12) patient leukaemia. In summary, we engineered a clinically-relevant model of t(7;12) acute myeloid leukaemia with the potential to unravel targetable molecular mechanisms of disease.
doi:10.1101/2022.06.14.496084 fatcat:zebu3din65ec5lrxkclpbqq4zy

Classification of proteins based on similarity of two-dimensional protein maps

Birgit Albrecht, Guy H. Grant, Cristina Sisu, W. Graham Richards
2008 Biophysical Chemistry  
Data reduction techniques are now a vital part of numerical analysis and principal component analysis is often used to identify important molecular features from a set of descriptors. We now take a different approach and apply data reduction techniques directly to protein structure. With this we can reduce the three-dimensional structural data into two-dimensions while preserving the correct relationships. With two-dimensional representations, structural comparisons between proteins are
more » ... ted significantly. This means that protein-protein similarity comparisons are now feasible on a large scale. We show how the approach can help to predict the function of kinase structures according to the Hanks' classification based on their structural similarity to different kinase classes.
doi:10.1016/j.bpc.2008.08.004 pmid:18814947 fatcat:xtnobt6dpjbg5m7mdxsuqql7ay

Biocatalytic Approach for Novel Functional Oligoesters of ε-Caprolactone and Malic Acid

Diana Maria Dreavă, Ioana Cristina Benea, Ioan Bîtcan, Anamaria Todea, Eugen Șișu, Maria Puiu, Francisc Peter
2021 Processes  
Biocatalysis has developed in the last decades as a major tool for green polymer synthesis. The particular ability of lipases to catalyze the synthesis of novel polymeric materials has been demonstrated for a large range of substrates. In this work, novel functional oligoesters were synthesized from ε-caprolactone and D,L/L-malic acid by a green and sustainable route, using two commercially available immobilized lipases as catalysts. The reactions were carried out at different molar ratios of
more » ... e comonomers in organic solvents, but the best results were obtained in solvent-free systems. Linear and cyclic oligomeric products with average molecular weights of about 1500 Da were synthesized, and the formed oligoesters were identified by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) analysis. The oligoester synthesis was not enantioselective in the studied reaction conditions. The operational stability of both biocatalysts (Novozyme 435 and GF-CalB-IM) was excellent after reutilization in 13 batch reaction cycles. The thermal properties of the reaction products were investigated by thermogravimetric (TG) and differential scanning calorimetry (DSC) analysis. The presence of polar pendant groups in the structure of these oligomers could widen the possible applications compared to the oligomers of ε-caprolactone or allow the conversion to other functional materials.
doi:10.3390/pr9020232 fatcat:n52djwntirfxfce2wjghb6cw7u

Comparative Characterization of Birch Bark Extracts Encapsulated Inside Polyurethane Microstructures

Florin Borcan, Marius Preda, Livia Cristina Borcan, Iulia Pinzaru, Sorin Florescu, Eugen Sisu, Marioara Poenaru
2018 Materiale plastice  
The phytotherapy is based on the consume of fruits, vegetables and medicinal plants; they contain mixtures of bioactive chemical substances (carotenoids, phenolic acids, flavonoids, coumarins, tannins, organosulfur compounds) with synergic effects on the treatment of diseases. Nano- and micro-carriers are very useful drug delivery systems which can improve the transmembrane transfer of natural extracts. In the present study, betulin and two birch bark extracts were encapsulated inside
more » ... ne microstructures. Structures� size, homogeneity and surface charge were studied using a Zetasizer, while DSC analysis was involved to assay structures� thermal behavior. Irritation effects were monitored by non-invasive techniques on human skin. The results indicate the obtaining of structures with size around 200-250 nm, with a positive surface charge and a very good thermal stability. The non-irritation potential recommends these structures as a safe delivery system used for natural extracts.
doi:10.37358/mp.18.3.5035 fatcat:h6becqtzzzeydiia5pao6i7eoe

The GENCODE pseudogene resource

Baikang Pei, Cristina Sisu, Adam Frankish, Cédric Howald, Lukas Habegger, Xinmeng Mu, Rachel Harte, Suganthi Balasubramanian, Andrea Tanzer, Mark Diekhans, Alexandre Reymond, Tim J Hubbard (+2 others)
2012 Genome Biology  
Pseudogenes have long been considered as nonfunctional genomic sequences. However, recent evidence suggests that many of them might have some form of biological activity, and the possibility of functionality has increased interest in their accurate annotation and integration with functional genomics data. Results: As part of the GENCODE annotation of the human genome, we present the first genome-wide pseudogene assignment for protein-coding genes, based on both large-scale manual annotation and
more » ... in silico pipelines. A key aspect of this coupled approach is that it allows us to identify pseudogenes in an unbiased fashion as well as untangle complex events through manual evaluation. We integrate the pseudogene annotations with the extensive ENCODE functional genomics information. In particular, we determine the expression level, transcription-factor and RNA polymerase II binding, and chromatin marks associated with each pseudogene. Based on their distribution, we develop simple statistical models for each type of activity, which we validate with largescale RT-PCR-Seq experiments. Finally, we compare our pseudogenes with conservation and variation data from primate alignments and the 1000 Genomes project, producing lists of pseudogenes potentially under selection. Conclusions: At one extreme, some pseudogenes possess conventional characteristics of functionality; these may represent genes that have recently died. On the other hand, we find interesting patterns of partial activity, which may suggest that dead genes are being resurrected as functioning non-coding RNAs. The activity data of each pseudogene are stored in an associated resource, psiDR, which will be useful for the initial identification of potentially functional pseudogenes.
doi:10.1186/gb-2012-13-9-r51 pmid:22951037 pmcid:PMC3491395 fatcat:teouzsasqbccreafugn4b6i4ou

Pseudogenes in the mouse lineage: transcriptional activity and strain-specific history [article]

Cristina Sisu, Paul Muir, Adam Frankish, Ian Fiddes, Mark Diekhans, David Thybert, Duncan Odom, Paul Flicek, Thomas Keane, Tim Hubbard, Jennifer Harrow, Mark Gerstein
2018 bioRxiv   pre-print
Pseudogenes are ideal markers of genome remodeling. In turn, the mouse is an ideal platform for studying them, particularly with the availability of developmental transcriptional data and the sequencing of 18 strains. Here, we present a comprehensive genome-wide annotation of the pseudogenes in the mouse reference genome and associated strains. We compiled this by combining manual curation of over 10,000 pseudogenes with results from automatic annotation pipelines. Also, by comparing the human
more » ... nd mouse, we annotated 165 unitary pseudogenes in mouse, and 303 unitaries in human. We make all our annotation available through mouse.pseudogene.org. The overall mouse pseudogene repertoire (in the reference and strains) is similar to human in terms of overall size, biotype distribution (~80% processed/~20% duplicated) and top family composition (with many GAPDH and ribosomal pseudogenes). However, notable differences arise in the pseudogene age distribution, with multiple retro-transpositional bursts in mouse evolutionary history and only one in human. Furthermore, in each strain about a fifth of the pseudogenes are unique, reflecting strain-specific functions and evolution. Additionally, we find that ~15% of the pseudogenes are transcribed, a fraction similar to that for human, and that pseudogene transcription exhibits greater tissue and strain specificity compared to protein-coding genes. Finally, we show that highly transcribed parent genes tend to give rise to processed pseudogenes.
doi:10.1101/386656 fatcat:kywggxhkenendmyavpxfd3l7pa

Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer

Aeman Zahra, Qiduo Dong, Marcia Hall, Jeyarooban Jeyaneethi, Elisabete Silva, Emmanouil Karteris, Cristina Sisu
2021 Journal of Clinical Medicine  
Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the analysis of a set of 94 genes that have been shown to be dysregulated in presence of BPA in ovarian cancer cell lines since we hypothesised that these genes might be of biomarker potential. This
more » ... y sought to identify biomarkers of disease and biomarkers of disease-associated exposure. In silico analyses took place using gene expression data extracted from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Differential expression was further validated at protein level using immunohistochemistry on an ovarian cancer tissue microarray. We found that 14 out of 94 genes are solely dysregulated in the presence of BPA, while the remaining 80 genes are already dysregulated (p-value < 0.05) in their expression pattern as a consequence of the disease. We also found that seven genes have prognostic power for the overall survival in OC in relation to their expression levels. Out of these seven genes, Keratin 4 (KRT4) appears to be a biomarker of exposure-associated ovarian cancer, whereas Guanylate Binding Protein 5 (GBP5), long intergenic non-protein coding RNA 707 (LINC00707) and Solute Carrier Family 4 Member 11 (SLC4A11) are biomarkers of disease. BPA can exert a plethora of effects that can be tissue- or cancer-specific. Our in silico findings generate a hypothesis around biomarkers of disease and exposure that could potentially inform regulation and policy making.
doi:10.3390/jcm10091979 pmid:34062972 pmcid:PMC8125610 fatcat:3pb5sxrpkfd5toq3gquthfrg6a

The Study of Placental Vascularization Using Type AGO II Plastic Substances

Catalin Dumitru, Izabella Petre, Marius Craina, Lavinia Cristina Moleriu, Nicolae Suciu, Carolina Gobjila, Elena Pop, Alina Sisu, Daniela Radu, Roxana Oancea
2019 Materiale plastice  
., SISU A., Macroscopic Examination of Placental Vascularization with a Corrosive Agent in Pregnant Women Diagnosed with Thrombophilia, Mat.  ...  Filodiritto Editore Proceeding, ISBN 978-88-95922-95-9 11.MITRANOVICI, M.I., PUSCASIU, L., CRAINA, M., IACOB, D., CHIRIAC, V.D., IONITA, I., MOLERIU, R.D., FURAU, GH, SISU, A., PETRE, I.  ... 
doi:10.37358/mp.19.1.5145 fatcat:7i7dugj2jrdzfk2obe47c4h7ji

Loregic: A Method to Characterize the Cooperative Logic of Regulatory Factors

Daifeng Wang, Koon-Kiu Yan, Cristina Sisu, Chao Cheng, Joel Rozowsky, William Meyerson, Mark B. Gerstein, Alexandre V Morozov
2015 PLoS Computational Biology  
The topology of the gene-regulatory network has been extensively analyzed. Now, given the large amount of available functional genomic data, it is possible to go beyond this and systematically study regulatory circuits in terms of logic elements. To this end, we present Loregic, a computational method integrating gene expression and regulatory network data, to characterize the cooperativity of regulatory factors. Loregic uses all 16 possible twoinput-one-output logic gates (e.g. AND or XOR) to
more » ... escribe triplets of two factors regulating a common target. We attempt to find the gate that best matches each triplet's observed gene expression pattern across many conditions. We make Loregic available as a generalpurpose tool (github.com/gersteinlab/loregic). We validate it with known yeast transcriptionfactor knockout experiments. Next, using human ENCODE ChIP-Seq and TCGA RNA-Seq data, we are able to demonstrate how Loregic characterizes complex circuits involving both proximally and distally regulating transcription factors (TFs) and also miRNAs. Furthermore, we show that MYC, a well-known oncogenic driving TF, can be modeled as acting independently from other TFs (e.g., using OR gates) but antagonistically with repressing miRNAs. Finally, we inter-relate Loregic's gate logic with other aspects of regulation, such as indirect binding via protein-protein interactions, feed-forward loop motifs and global regulatory hierarchy. Author Summary Gene expression is controlled by various gene regulatory factors. Those factors work cooperatively forming a complex regulatory circuit genome wide. Corruptions of regulatory cooperativity may lead to abnormal gene expression activity such as cancer. Traditional experimental methods, however, can only identify small-scale regulatory activity. Thus, to systematically understand the cooperativity between and among different types of regulatory factors, we need the efficient and systematic computational methods. Regulatory PLOS Computational Biology | circuits have been suggested to behave analogously to the electronic circuits in which a wide variety of electronic elements work coordinately to function correctly. Recently, an increasing amount of next generation sequencing data provides a great resource to study regulatory activity. Thus, we developed a general-purpose computational method using logic-circuit models from electronics and applied it to a human leukemia dataset, identifying the genome-wide cooperativity of transcription factors and microRNAs. This is a PLOS Computational Biology Methods paper Loregic: Characterization of the Regulatory Logic PLOS Computational Biology |
doi:10.1371/journal.pcbi.1004132 pmid:25884877 pmcid:PMC4401777 fatcat:afhr4oqipbbo7kadpsuydimft4

A rare association between mitral valve fibroelastoma and myxomatous disease with severe mitral regurgitation

Roxana Cristina Sisu, Guido Lanzillo, Diana Crina Benea, Gheorghe Cerin, Dragos Vinereanu
2010 Journal of Clinical Ultrasound  
doi:10.1002/jcu.20758 pmid:21387331 fatcat:fjbby4fmjzbdble2cj2z4nmexq

Transcriptional activity and strain-specific history of mouse pseudogenes

Cristina Sisu, Paul Muir, Adam Frankish, Ian Fiddes, Mark Diekhans, David Thybert, Duncan T. Odom, Paul Flicek, Thomas M. Keane, Tim Hubbard, Jennifer Harrow, Mark Gerstein
2020 Nature Communications  
Pseudogenes are ideal markers of genome remodelling. In turn, the mouse is an ideal platform for studying them, particularly with the recent availability of strain-sequencing and transcriptional data. Here, combining both manual curation and automatic pipelines, we present a genome-wide annotation of the pseudogenes in the mouse reference genome and 18 inbred mouse strains (available via the mouse.pseudogene.org resource). We also annotate 165 unitary pseudogenes in mouse, and 303, in human.
more » ... overall pseudogene repertoire in mouse is similar to that in human in terms of size, biotype distribution, and family composition (e.g. with GAPDH and ribosomal proteins being the largest families). Notable differences arise in the pseudogene age distribution, with multiple retro-transpositional bursts in mouse evolutionary history and only one in human. Furthermore, in each strain about a fifth of all pseudogenes are unique, reflecting strain-specific evolution. Finally, we find that ~15% of the mouse pseudogenes are transcribed, and that highly transcribed parent genes tend to give rise to many processed pseudogenes.
doi:10.1038/s41467-020-17157-w pmid:32728065 pmcid:PMC7392758 fatcat:f644v4hikzf4td7qfyogqprfnm

Interventricular septal or standard apical pacing in pacing dependent patients: still a dilemma?

Roxana Cristina Rimbas Sisu, Mircea Cinteza, Dragos Vinereanu
2010 MAEDICA – a Journal of Clinical Medicine  
pmid:21977152 pmcid:PMC3177543 fatcat:cetueds5krahvb7h2dycsosm6y

Non-redundant functions of H2A.Z.1 and H2A.Z.2 in chromosome segregation and cell cycle progression [article]

Raquel Sales-Gil, Ines J. de Castro, Hasnat Amin, Christos Spanos, Veronica Vinciotti, Juri Rappsilber, Cristina Sisu, Paola Vagnarelli
2020 bioRxiv   pre-print
SUMMARYH2A.Z is a H2A-type histone variant essential for many aspects of cell biology ranging from gene expression to genome stability. From deuterostomes, H2A.Z evolved into two paralogues H2A.Z.1 and H2A.Z.2 that differ by only three amino acids and are encoded by different genes (H2AFZ and H2AFV respectively). Despite the importance of this histone variant in development and cellular homeostasis, very little is known about the individual functions of each paralogue in mammals. Here we
more » ... gated the distinct roles of two paralogues in cell cycle regulation. Using a specific siRNA approach for each paralogue in human cells, we unveiled non-redundant functions for H2A.Z.1 and H2A.Z.2 in cell division: H2A.Z.1 regulates the expression of important cell cycle genes (including Myc and Ki-67) and its depletion leads to a G1 arrest, whereas H2A.Z.2 is essential for centromere integrity and function, thus playing a key role in chromosome segregation.
doi:10.1101/2020.09.15.297671 fatcat:s5j22csdgrhznhk6lbbtv6oxhu
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