Ana Rita Grosso


Interesses Científicos

Computational Biomedicine Research: My mission is to understand the (epi)genome biology and its impact on cancer and other diseases using computational multi-omics approaches. Such methods rely on the statistical analysis and integration of large-scale data (high-throughput sequencing, microarrays, proteomics, high-throughput screening) and clinical/phenotypic data. _____________________________________________________________________________________________________ Computational Biology/Bioinformatics Training: I would like to boost the computational biology field, which is rapidly evolving both in terms of breadth of scope of applications and depth of what can be accomplished. However, there is a big demand for bioinformatics skills in research. I have been disseminating such specialized knowledge by teaching MSc courses, training MSc and PhD students, and promoting dedicated seminars among young and senior researchers.

Publicações Representativas

Matos MR, Posa I, Carvalho FS, Morais VA, Grosso AR, de Almeida SF. (2019) A Systematic Pan-Cancer Analysis of Genetic Heterogeneity Reveals Associations with Epigenetic Modifiers. Cancers, 11 (3), DOI: 10.3390/cancers11030391

Bonnet A, Grosso AR, Elkaoutari A, Coleno E, Presle A, Sridhara SC, Janbon G, Géli V, de Almeida SF, Palancade B.. 2017. Introns Protect Eukaryotic Genomes from Transcription-Associated Genetic Instability.. MOLECULAR CELL, 67(4), DOI: 10.1016/j.molcel.2017.07.002

Sridhara, SC; Carvalho, S; Grosso, AR; Gallego-Paez, LM; Carmo-Fonseca, M; de Almeida, SF. 2017. Transcription Dynamics Prevent RNA-Mediated Genomic Instability through SRPK2-Dependent DDX23 Phosphorylation. Cell Reports, 18(2), DOI: 10.1016/j.celrep.2016.12.050

Posa, I; Carvalho, S; Tavares, J; Grosso, AR. 2016. A pan-cancer analysis of MYC-PVT1 reveals CNV-unmediated deregulation and poor prognosis in renal carcinoma. Oncotarget, 7(30), DOI: 10.18632/oncotarget.9487

Nojima T, Gomes T, Grosso ARF, Kimura H, Dye MJ, Dhir S, Carmo-Fonseca M, Proudfoot NJ.. 2015. Mammalian NET-Seq Reveals Genome-wide Nascent Transcription Coupled to RNA Processing. CELL, 161(3), DOI: 10.1016/j.cell.2015.03.027

Grosso, AR; Leite, AP; Carvalho, S; Matos, MR; Martins, FB; Vítor, AC; Desterro, JMP; Carmo-Fonseca, M; de Almeida, SF. 2015. Pervasive transcription read-through promotes aberrant expression of oncogenes and RNA chimeras in renal carcinoma. eLife, 4(NOVEMBER2015), DOI: 10.7554/eLife.09214


Computational Multi-Omics Lab