2023 - Research.com Genetics in Belgium Leader Award
Franki Speleman mostly deals with Genetics, Cancer research, Neuroblastoma, Gene and Molecular biology. His Cancer research research is multidisciplinary, relying on both Carcinogenesis, microRNA, Chromosomal rearrangement and Immunology. His research in Neuroblastoma intersects with topics in Oncology, Pathology, Internal medicine, Survival analysis and Loss of heterozygosity.
His research investigates the connection between Molecular biology and topics such as Regulation of gene expression that intersect with problems in Transcriptome. Franki Speleman has included themes like Microarray analysis techniques, Real-time polymerase chain reaction and Computational biology in his Gene expression profiling study. His studies in Microarray analysis techniques integrate themes in fields like Housekeeping gene and Proportional hazards model.
His primary areas of investigation include Cancer research, Genetics, Neuroblastoma, Gene and Molecular biology. His work investigates the relationship between Cancer research and topics such as microRNA that intersect with problems in Gene silencing. His studies examine the connections between Neuroblastoma and genetics, as well as such issues in Pathology, with regards to Internal medicine.
The concepts of his Gene study are interwoven with issues in Computational biology and Cell biology. His study looks at the relationship between Molecular biology and fields such as Cytogenetics, as well as how they intersect with chemical problems. Franki Speleman has researched Gene expression in several fields, including RNA and Real-time polymerase chain reaction.
Franki Speleman focuses on Cancer research, Neuroblastoma, Cell biology, Gene and Computational biology. His Cancer research research is multidisciplinary, incorporating perspectives in Genetics, Leukemia, Signal transduction, Gene knockdown and Non invasive. Franki Speleman is interested in Long non-coding RNA, which is a branch of Genetics.
His Neuroblastoma study combines topics in areas such as Phenotype, Circulating Cell-Free DNA, Downregulation and upregulation, FOXM1 and Epigenetics. His research on Gene frequently connects to adjacent areas such as Cell growth. His Computational biology course of study focuses on Zebrafish and Real-time polymerase chain reaction.
His scientific interests lie mostly in Cancer research, Neuroblastoma, Gene, microRNA and RNA. His Cancer research research integrates issues from Molecular biology, Stem cell, N-Myc, FOXM1 and Leukemia. His Neuroblastoma study integrates concerns from other disciplines, such as Viability assay, Regulation of gene expression and Pharmacology.
His study ties his expertise on Computational biology together with the subject of Gene. The Computational biology study combines topics in areas such as Three prime untranslated region, Real-time polymerase chain reaction, Zebrafish and Gene expression profiling. MicroRNA is a subfield of Genetics that Franki Speleman investigates.
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Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes
Jo Vandesompele;Katleen De Preter;Filip Pattyn;Bruce Poppe.
Genome Biology (2002)
qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
Jan Hellemans;Geert Mortier;Anne De Paepe;Franki Speleman.
Genome Biology (2007)
Gain of chromosome arm 17q and adverse outcome in patients with neuroblastoma
N Bown;S Cotterill;M Lastowska;S O'Neill.
The New England Journal of Medicine (1999)
RNA G-quadruplexes cause eIF4A-dependent oncogene translation in cancer
Andrew L Wolfe;Kamini Singh;Yi Zhong;Philipp Drewe.
Genome dynamics of the human embryonic kidney 293 lineage in response to cell biology manipulations.
Yao-Cheng Lin;Morgane Boone;Leander Meuris;Irma Lemmens.
Nature Communications (2014)
Emerging patterns of cryptic chromosomal imbalance in patients with idiopathic mental retardation and multiple congenital anomalies: a new series of 140 patients and review of published reports
B. Menten;N. Maas;B. Thienpont;K. Buysse.
Journal of Medical Genetics (2006)
International consensus for neuroblastoma molecular diagnostics: report from the International Neuroblastoma Risk Group (INRG) Biology Committee.
PF Ambros;IM Ambros;GM Brodeur;M Haber.
British Journal of Cancer (2009)
High-throughput stem-loop RT-qPCR miRNA expression profiling using minute amounts of input RNA
Pieter Mestdagh;Tom Feys;Nathalie Bernard;Simone Guenther.
Nucleic Acids Research (2008)
LIN28B induces neuroblastoma and enhances MYCN levels via let-7 suppression
Jan J Molenaar;Raquel Domingo-Fernández;Marli E Ebus;Sven Lindner.
Nature Genetics (2012)
The miR-17-92 MicroRNA Cluster Regulates Multiple Components of the TGF-β Pathway in Neuroblastoma
Pieter Mestdagh;Anna-Karin Bostrom;Francis Impens;Erik Fredlund;Erik Fredlund.
Molecular Cell (2010)
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