Ana M Mosquera
Research Subjects
Ana M Mosquera has a total of 18 co-authors. Here are the top co-authors by number of shared publications:
- Ana Vivancos
Vall d’Hebron Institute of Oncology (VHIO), Vall d’Hebron Barcelona Hospital Campus, Barcelona, Spain
1 shared publication - Anna Ferrer
Microarray Unit, Genomics Core Facility, Center for Genomic Regulation (CRG) - Universitat Pompeu Fabra (UPF), Barcelona, Spain
1 shared publication - Ester Castillo
Centre for Genomic Regulation (CRG), Barcelona, Spain
1 shared publication - Eva González
Servei de Inmunologia, Hospital Clínic i Provincial de Barcelona, Barcelona, Spain
1 shared publication - Franc Llorens
Department of Neurology, Clinical Dementia Center, University Medical Center, Georg-August University, Robert Koch Strasse 40, Göttingen, Germany.
1 shared publication - Heinz Himmelbauer
Department of Biotechnology and Food Science, Institute of Computational Biology, BOKU University, Vienna, Austria
1 shared publication
Latest Publications
- Open Access
- 23 June 2011
- Published by Springer Nature in BMC Genomics
- Vol. 12 (1) , 326
Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis
Background: Epidermal Growth Factor (EGF) is a key regulatory growth factor activating many processes relevant to normal development and disease, affecting cell proliferation and survival. Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.Results: By applying a procedure for cross-platform data meta-analysis based on RankProd and GlobalAncova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We use this robust gene list to build higher order networks of gene interaction by interconnecting associated networks, supporting and extending the important role of the EGF signaling pathway in cancer. In addition, we find an entirely new set of genes previously unrelated to the currently accepted EGF associated cellular functions.Conclusions: We propose that the use of global genomic cross-validation derived from high content technologies (microarrays or deep sequencing) can be used to generate more reliable datasets. This approach should help to improve the confidence of downstreamin silicofunctional inference analyses based on high content data.
- 23 June 2011
- Published by Springer Nature in BMC Genomics
- Vol. 12 (1) , 326
Open AccessMultiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis
Background: Epidermal Growth Factor (EGF) is a key regulatory growth factor activating many processes relevant to normal development and disease, affecting cell proliferation and survival. Here we use a combined approach to study the EGF dependent transcriptome of HeLa cells by using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer.Results: By applying a procedure for cross-platform data meta-analysis based on RankProd and GlobalAncova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We use this robust gene list to build higher order networks of gene interaction by interconnecting associated networks, supporting and extending the important role of the EGF signaling pathway in cancer. In addition, we find an entirely new set of genes previously unrelated to the currently accepted EGF associated cellular functions.Conclusions: We propose that the use of global genomic cross-validation derived from high content technologies (microarrays or deep sequencing) can be used to generate more reliable datasets. This approach should help to improve the confidence of downstreamin silicofunctional inference analyses based on high content data.