Genomics
Complete solutions, from experimental design to statistical analysis and interpretation of results.
The Genomics Platform offers a wide range of scientific services to research groups, hospitals, companies and public and private laboratories. It also collaborates in scientific research projects and serves as a meeting point between the scientific development of the university and public spheres and the technological demand of the private sector.
- Highly qualified expert and professional team
- Most innovative technologies and equipment
- More than 15 years of experience
- Over 11 years of specialization in massive sequencing
- More than 100 research groups served each year
- More than 60,000 samples tested each year
- More than 350 projects attended each year
Services
Complete solutions suitable for each project, from experimental design to statistical analysis and bioinformatics interpretation of the results obtained
Massive Sequencing (NGS)
- DNA Sequencing: de novo / re-sequencing / targeted sequencing
- RNA and smallRNA Sequencing: Transcriptomics/Gene Expression
- Metagenomics: Global Population Analysis / 16S Amploon Sequencing / STIs / 18S
Real-time PCR (qPCR)
- Gene expression studies
- MicroRNA expression analysis
- Genotyping with Taqman probes
- Statistical analysis based on Statminer® software
Digital PCR (dPCR)
- Detection of Rare Mutations
- Copy Number Variation (CNVs) Analysis
BioAnalyzer (BA)
- Analysis of total RNA or RNA fractions, measurement of INR
- DNA analysis: electrophoretic profiling and concentration estimation
DNA/RNA Quantification (PG-RG)
- Fluorimetric measurement (PicoGreen/ RiboGreen) • Fluorimetry-based DNA quantification (PicoGreen)
- Quantification of DNA and RNA by spectrophotometry (nanoDrop)
Requests
Publications
Scientific articles in which the Genomics Platform has participated
| Authors | Year | Magazine | Theme | |
| Wesselink et al. | 2012 | J. Bacteriol. | Genomic sequence of Klebsiella pneumoniae OXA-48 |  |
| Singh et al. | 2013 | PLOS Genetics | Motility of Bacillus subtilis by plasmid conjugation | |
| Fernández et al. | 2018 | Oncotarget | Lipid-related genes in colon cancer | |
| Lanza et al. | 2018 | Microbiome | Analysis of the resistome in metagenomic samples | |
| López-Camacho et al. | 2018 | J. Global Antimicrobial Resistance | Population structure of a Klebsiella pneumoniae outbreak | |
| Bravo-Alonso et al. | 2019 | J. Clin. Medicine | Genetic variants associated with lactic acidosis | |
| Prieto-Potín et al. | 2020 | Peer J. | Validation of a gene panel in cancer | |
| Schoorlemmer et al. | 2020 | Epigenomics | DNA methylation in preterm delivery | |
| Trilla-Fuertes et al. | 2020 | Mol. Cell Proteomics | Genomics and Proteomics in Anal Carcinoma | |
| Trilla-Fuertes et al. | 2020 | Transl. Oncology | Overview of mutations present in anal carcinoma | |
| Trilla-Fuertes et al. | 2021 | Sci. Reports | Genetic Variants in Anal Carcinoma Patients Treated with Panitumumab | |
| Herreros-Villanueva et al. | 2022 | Gastroenterology and Hepatology | Mutations in plasma from pancreatic cancer patients | |
| Trilla-Fuertes et al. | 2023 | Int. J. Molecular Sc. | Prediction of anti-PD1 therapy response in anal carcinoma patients | |
| Trilla-Fuertes et al. | 2023 | Cancer | Biomarker for anal carcinoma diagnosis | |
| Trilla-Fuertes et al. | 2023 | Cancers | Response to PD-1 inhibitors in advanced melanomas | |
| Fdez. de las Peñas et al. | 2024 | Biomedicines | Post-COVID-19 pain and changes in DNA methylation patterns | |
| García-Tenorio et al. | 2025 | Human Cell | Gene deactivation for propionic acidemia using CRISPR-Cas9 | |
| Authors | Year | Magazine | Theme | |
| Fierro-Fernández et al. | 2015 | EMBO Reports | Fibrosis suppression by miR-9-5p | |
| Doncel-Pérez et al. | 2016 | J. Immunol. | EGR2 in Gullian-Barré syndrome | |
| Herrera et al. | 2018 | Molecular Cancer | Non-coding exosomal RNA in colorectal cancer | |
| Llorens et al. | 2018 | BMC Genomics | Anisakis gene expression patterns | |
| Alonso-Hearn et al. | 2019 | Sci. Reports | CXCL8 Signaling in Mycobacterium-Infected Cattle | |
| Fierro-Fernández et al. | 2019 | FASEB J. | RNA regulation by miR-9-5p in renal fibrosis | |
| Díaz et al. | 2020 | Int. J. Mol. Sciences | miR-7641 on hyalinizing vasculopathy | |
| Llorens et al. | 2020 | Clin. Oral Invest. | RNA expression profile in proliferative leukoplakia | |
| Puente-Santamaría et al. | 2021 | bioRxiv | Search for transcription patterns in hypoxia | |
| López et al. | 2021 | Nature Genetics | SARS-CoV2 sequencing in Spain | |
| Ruiz-Rodríguez et al. | 2021 | mBio | Identification of mutations in the SARS-CoV2 genome | |
| Martínez-González et al. | 2022 | Pathogens | Identification of mutations in SARS-CoV-2 | |
| Martínez-González et al. | 2022 | J. Clinical Investigation | Identification of mutations in SARS-CoV-2 | |
| Opazo-Ríos et al. | 2022 | Frontiers | MicroRNAs regulated in diabetic nephropathy in ob/ob mice | |
| Llorens-Revull et al. | 2023 | Int. J. Molecular Sc. | Methods for microRNA analysis in extracellular vesicles | |
| Badia-Bringué et al. | 2024 | Sci. Reports | Immune regulation by microRNAs in cattle infected with Mycobacterium | |
| Authors | Year | Magazine | Theme | |
| Sánchez-Diz et al. | 2009 | Pharmacogenics J. | CYP2C9 gene polymorphisms | |
| Rodríguez-Sainz et al. | 2010 | J. Clin. Virol. | HIV c-DNA measurement | |
| Vargas et al. | 2014 | Mol. Oncology | Metabolic syndrome in colorectal cancer | |
| Vargas et al. | 2015 | Oncotarget | Lipid Metabolic Signature in Colorectal Cancer | |
| Rivera-Barahona et al. | 2017 | Sci. Reports | MicroRNA expression in propionic acidemia | |
| Miguel et al. | 2021 | Redox Biology | MicroRNA expression in renal fibrosis | |
| Tarancón-Díez et al. | 2022 | Frontiers in Immunology | Profiles of miRNAs in children undergoing antiretroviral treatment for HIV | |
| Rey-Serra et al. | 2023 | Life Sci. Alliance | Genes related to kidney damage | |
| Badia-Bringué et al. | 2024 | Scientific Reports | MicroRNA modulation in bovine paratuberculosis | |
| Glez.-Gil et al. | 2024 | BMC Veterinary Research | Proneurogenic actions of follicle-stimulating hormone | |
| Authors | Year | Magazine | Theme | |
| Robles-Vera et al. | 2019 | Nutrients | Impact of Vitamin D on the Microbiome | |
| Arcos et al. | 2021 | Microorganisms | Bacterial diversity in Anisakis L3 larvae | |
We kindly ask that publications including results obtained in collaboration with the Genomics Unit of the Madrid Science Park Foundation cite this contribution as follows:
Acknowledgments/Reconocimientos:
Genomics Unit, Madrid Science Park Foundation, Spain
Unidad de Genómica, Fundación Parque Científico de Madrid, España
When appropriate, our collaboration could be described as:
“Data were generated using well-established, standardized procedures.”
Cuando corresponda esta participación puede expresarse como:
“Datos generados mediante procedimientos normalizados establecidos.”
Projects
| Name | Years | Participating Entities | Topic | Funding |
| AgroGenDetect | 2022-2024 | CSIC, Genomics Platform FPCM, Syntech Research Spain S.L., Microgaia Biotech S.L. | Development of an early pathogen detection system capable of infecting consumable plants |  |
| PanCaTest | 2022-2024 | Advanced Marker Discovery S.L., NasasBiotech S.L., CIBER, Fund. Inv. Biomédica Hosp. Univ. Ramón y Cajal, Genomics Platform FPCM | Development of a plasma biomarker signature useful for the diagnosis of pancreatic cancer | |
Outreach
Outreach articles and materials from the Genomics Museum of the Park.
| Authors | Year | Journal | Topic | |
| Ramos-Ruiz | 2011 | Encuentros Interdisciplinares | Genomics | |
| Ramos-Ruiz | 2013 | SEBMM | Genomic Sequencing | |
| Ramos-Ruiz et al. | 2014 | Comprehensive Analytical Chemistry 64 (Elsevier) | Review of Genotyping Technologies | |
| Ramos-Ruiz et al. | 2015 | Mediterráneo Económico | Genomics in the Agri-food Sector | |
| Ramos-Ruiz et al. | 2023 | Estudios Multidisciplinares | The Expanded Capabilities of Science Parks: The Case of a Genomics Unit | |
| Description | |
| Complete materials | |
| Introductory panel | |
| Introductory panel: What size is our genome? (additional material via QR) | |
| Introductory panel: A genome is like a book (additional material via QR) | |
| Equipment 1: ABIPRISM 3700 DNA Analyzer – the first fully automated sequencer | |
| Equipment 1: polyacrylamide gel (additional material via QR) | |
| Equipment 2: ABIPRISM 7900 HT – one genome, one million possibilities | |
| Equipment 2: how PCR works (additional material via QR) | |
| Equipment 2: types of RNA (additional material via QR) | |
| Equipment 3: FLX 454 – the new generation of genomics | |
| Equipment 3: pyrosequencing (additional material via QR) | |
| Equipment 4: GAAIIx System – a device here to stay | |
| Equipment 4: sequencing by synthesis (additional material via QR) | |
