DEVELOPMENT AND APPLICATION OF NOVEL COMPUTATIONAL METHODS AND STRATEGIES FOR THE CHARACTERISATION OF HUMAN DISEASES

The advance of high-throughput technologies, the increase in biological and clinical knowledge, and the potential of computational approaches provide an exciting research scenario for the generation of new and useful biomedical knowledge. Within this scientific framework, we are working on the following lines of research:

  1. Improving the understanding of molecular mechanisms in neuronal pathologies: a) Generation of single-cell and spatial atlases to decipher sex differences in neurodegenerative diseases (Parkinson’s disease, Alzheimer’s disease and multiple sclerosis); b) Identification of biological pathways in behavioural alteration pathologies (schizophrenia and autism spectrum disorder); c) Detection of transcriptomic signatures for the understanding of molecular mechanisms associated with spinal cord injury; d) Study of differential sex profiles in neuroinflammation associated with alcohol use disorders, through integrative multi-omics strategies.
  2. Finding novel biomarkers in cancer: a) Development and application of big-data analysis methods for the identification of novel diagnostic and progression biomarkers in cancer studies; b) Neurobiology of cancer: description of the role of the nervous system in oncological diseases and identification of possible clinical implications in oncology. Identifying transcriptomic signatures shared between neurodegenerative diseases and brain metastatic melanoma.
  3. Clinical targets and predictors in metabolic disorders: a) Detection of potential clinical targets in obesity, diabetes and MAFLD (metabolic associated fatty liver disease) through massive analysis of omics data; b) Clinical predictors based on high-throughput technologies and artificial intelligence methods.

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Research Staff

The people who make it all possible

Francisco García García
fgarcia@cipf.es

Marta Rosa Hidalgo García
mhidalgo@cipf.es

Cristina Galiana Roselló
cgaliana@cipf.es

Irene Soler Saez
isoler@cipf.es

Borja Gómez Cabañes
bgomezc@cipf.es

Fernando Gordillo González
fgordillo@cipf.es

Zoraida Andreu Martínez
zandreu@cipf.es

Rubén Sánchez García
rsanchez@cipf.es

Publications

Our scientific contributions

The role of microRNAs in understanding sex-based differences in Alzheimer's disease.
Llera-Oyola J, Carceller H, Andreu Z, Hidalgo MR, Soler-Sáez I, Gordillo F, Gómez-Cabañes B, Roson B, de la Iglesia-Vayá M, Mancuso R, Guerini FR, Mizokami A and García-García F
Biology of Sex Differences, 2024 Jan,  DOI:  10.1186/s13293-024-00588-1,  Vol. 15,  pag. 13-13

Novel insight into the lipid network of plasma extracellular vesicles reveal sex-based differences in the lipidomic profile of alcohol use disorder patients.
Perpiñá-Clérigues C, Mellado S, Galiana-Roselló C, Fernández-Regueras M, Marcos M, García-García F and Pascual M
Biology of Sex Differences, 2024 Jan,  DOI:  10.1186/s13293-024-00584-5,  Vol. 15,  pag. 10-10

A deep transcriptome meta-analysis reveals sex differences in multiple sclerosis.
Català-Senent JF, Andreu Z, Hidalgo MR, Soler-Sáez I, Roig FJ, Yanguas-Casás N, Neva-Alejo A, López-Cerdán A, de la Iglesia-Vayá M, Stranger BE and García-García F
NEUROBIOLOGY OF DISEASE, 2023 Jun,  DOI:  10.1016/j.nbd.2023.106113,  Vol. 181,  pag. 106113-106113

Deciphering the sex bias in housekeeping gene expression in adipose tissue: a comprehensive meta-analysis of transcriptomic studies.
Guaita-Cespedes M, Grillo-Risco R, Hidalgo MR, Fernández-Veledo S, Burks DJ, de la Iglesia-Vayá M, Galán A and Garcia-Garcia F
Biology of Sex Differences, 2023 Apr,  DOI:  10.1186/s13293-023-00506-x,  Vol. 14,  pag. 20-20

Unveiling sex-based differences in Parkinson's disease: a comprehensive meta-analysis of transcriptomic studies.
López-Cerdán A, Andreu Z, Hidalgo MR, Grillo-Risco R, Català-Senent JF, Soler-Sáez I, Neva-Alejo A, Gordillo F, de la Iglesia-Vayá M and García-García F
Biology of Sex Differences, 2022 Nov,  DOI:  10.1186/s13293-022-00477-5,  Vol. 13,  pag. 68-68

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