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Your search keyword '"Ferreira Moreno L"' showing total 4 results
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4 results on '"Ferreira Moreno L"'

1. The biology of black yeast genomes

Author

Ferreira Moreno, L., de Hoog, Sybren, Menken, Steph, Vicente, V.A., and Evolutionary and Population Biology (IBED, FNWI)

Abstract

In this PhD thesis, the whole genomes of black yeast-like fungi belonging to the order Chaetothyriales (division Ascomycetes) and filamentous relatives are sequenced and examined in order to understand the mechanisms behind their adaptation to diverse ecological niches. Chaetothyriales are able to inhabit a wide range of habitats varying from oligotrophic environments, which provide very low levels of nutrients, to sites containing complex carbon substrates. Although human infections caused by black yeasts and their filamentous relatives are considered to be rare, recalcitrant infections in patients with immunodeficiency disorders but also otherwise healthy people have consistently been reported. Their outstanding metabolic plasticity, and concomitant broad ability to degrade a variety of substrates, has generally been taken to be the reason for the diversity of places occupied by this group of fungi. Results described in this thesis provide deeper understanding of the genetic basis and potential adaptations that led the Chaetothyriales to master sites rarely colonized by other fungal species.

Published
2018

2. Proposed nomenclature for Pseudallescheria, Scedosporium and related genera

Author

Lackner, M. de Hoog, G.S. Yang, L. Ferreira Moreno, L. Ahmed, S.A. Andreas, F. Kaltseis, J. Nagl, M. Lass-Flörl, C. Risslegger, B. Rambach, G. Speth, C. Robert, V. Buzina, W. Chen, S. Bouchara, J.-P. Cano-Lira, J.F. Guarro, J. Gené, J. Fernández Silva, F. Haido, R. Haase, G. Havlicek, V. Garcia-Hermoso, D. Meis, J.F. Hagen, F. Kirchmair, M. Rainer, J. Schwabenbauer, K. Zoderer, M. Meyer, W. Gilgado, F. Schwabenbauer, K. Vicente, V.A. Piecková, E. Regenermel, M. Rath, P.-M. Steinmann, J. de Alencar, X.W. Symoens, F. Tintelnot, K. Ulfig, K. Velegraki, A. Tortorano, A.M. Giraud, S. Mina, S. Rigler-Hohenwarter, K. Hernando, F.L. Ramirez-Garcia, A. Pellon, A. Kaur, J. Bergter, E.B. de Meirelles, J.V. da Silva, I.D. Delhaes, L. Alastruey-Izquerdo, A. Li, R.-Y. Lu, Q. Moussa, T. Almaghrabi, O. Al-Zahrani, H. Okada, G. Deng, S. Liao, W. Zeng, J. Issakainen, J. Liporagi Lopes, L.C.

Abstract

As a result of fundamental changes in the International Code of Nomenclature on the use of separate names for sexual and asexual stages of fungi, generic names of many groups should be reconsidered. Members of the ECMM/ISHAM working group on Pseudallescheria/Scedosporium infections herein advocate a novel nomenclature for genera and species in Pseudallescheria, Scedosporium and allied taxa. The generic names Parascedosporium, Lomentospora, Petriella, Petriellopsis, and Scedosporium are proposed for a lineage within Microascaceae with mostly Scedosporium anamorphs producing slimy, annellidic conidia. Considering that Scedosporium has priority over Pseudallescheria and that Scedosporium prolificans is phylogenetically distinct from the other Scedosporium species, some name changes are proposed. Pseudallescheria minutispora and Petriellidium desertorum are renamed as Scedosporium minutisporum and S. desertorum, respectively. Scedosporium prolificans is renamed as Lomentospora prolificans. © 2014, Mushroom Research Foundation.

Published
2014

3. Molecular characterization of colorectal cancer related peritoneal metastatic disease.

Author

Lenos KJ, Bach S, Ferreira Moreno L, Ten Hoorn S, Sluiter NR, Bootsma S, Vieira Braga FA, Nijman LE, van den Bosch T, Miedema DM, van Dijk E, Ylstra B, Kulicke R, Davis FP, Stransky N, Smolen GA, Coebergh van den Braak RRJ, IJzermans JNM, Martens JWM, Hallam S, Beggs AD, Kops GJPL, Lansu N, Bastiaenen VP, Klaver CEL, Lecca MC, El Makrini K, Elbers CC, Dings MPG, van Noesel CJM, Kranenburg O, Medema JP, Koster J, Koens L, Punt CJA, Tanis PJ, de Hingh IH, Bijlsma MF, Tuynman JB, and Vermeulen L

Subjects
Humans, Peritoneum metabolism, Quality of Life, Colorectal Neoplasms pathology, Neoplasms, Second Primary, Peritoneal Neoplasms genetics, Peritoneal Neoplasms secondary
Abstract

A significant proportion of colorectal cancer (CRC) patients develop peritoneal metastases (PM) in the course of their disease. PMs are associated with a poor quality of life, significant morbidity and dismal disease outcome. To improve care for this patient group, a better understanding of the molecular characteristics of CRC-PM is required. Here we present a comprehensive molecular characterization of a cohort of 52 patients. This reveals that CRC-PM represent a distinct CRC molecular subtype, CMS4, but can be further divided in three separate categories, each presenting with unique features. We uncover that the CMS4-associated structural protein Moesin plays a key role in peritoneal dissemination. Finally, we define specific evolutionary features of CRC-PM which indicate that polyclonal metastatic seeding underlies these lesions. Together our results suggest that CRC-PM should be perceived as a distinct disease entity., (© 2022. The Author(s).)

Published
2022
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4. Development of a miRNA-based classifier for detection of colorectal cancer molecular subtypes.

Author

Adam RS, Poel D, Ferreira Moreno L, Spronck JMA, de Back TR, Torang A, Gomez Barila PM, Ten Hoorn S, Markowetz F, Wang X, Verheul HMW, Buffart TE, and Vermeulen L

Subjects
Biomarkers, Tumor genetics, Gene Expression Profiling, Humans, Microsatellite Instability, RNA, Messenger genetics, Transcriptome, Colorectal Neoplasms diagnosis, Colorectal Neoplasms genetics, Colorectal Neoplasms pathology, MicroRNAs genetics
Abstract

Previously, colorectal cancer (CRC) has been classified into four distinct molecular subtypes based on transcriptome data. These consensus molecular subtypes (CMSs) have implications for our understanding of tumor heterogeneity and the prognosis of patients. So far, this classification has been based on the use of messenger RNAs (mRNAs), although microRNAs (miRNAs) have also been shown to play a role in tumor heterogeneity and biological differences between CMSs. In contrast to mRNAs, miRNAs have a smaller size and increased stability, facilitating their detection. Therefore, we built a miRNA-based CMS classifier by converting the existing mRNA-based CMS classification using machine learning (training dataset of n = 271). The performance of this miRNA-assigned CMS classifier (CMS-miRaCl) was evaluated in several datasets, achieving an overall accuracy of ~ 0.72 (0.6329-0.7987) in the largest dataset (n = 158). To gain insight into the biological relevance of CMS-miRaCl, we evaluated the most important features in the classifier. We found that miRNAs previously reported to be relevant in microsatellite-instable CRCs or Wnt signaling were important features for CMS-miRaCl. Following further studies to validate its robustness, this miRNA-based alternative might simplify the implementation of CMS classification in clinical workflows., (© 2022 The Authors. Molecular Oncology published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.)

Published
2022
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