COLONOMICS - integrative omics data of one hundred paired normal-tumoral samples from colon cancer patients.

Colonomics is a multi-omics dataset that includes 250 samples: 50 samples from healthy colon mucosa donors and 100 paired samples from colon cancer patients (tumor/adjacent). From these samples, Colonomics project includes data from genotyping, DNA methylation, gene expression, whole exome sequencin...

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Detalles Bibliográficos
Autores: Díez-Villanueva A, Sanz-Pamplona R, Solé X, Cordero D, Crous-Bou M, Guinó E, Lopez-Doriga A, Berenguer A, Aussó S, Paré-Brunet L, Obón-Santacana M, Moratalla-Navarro F, Salazar R, Sanjuan X, Santos C, Biondo S, Diez-Obrero V, Garcia-Serrano A, Alonso MH, Carreras-Torres R, Closa A, Moreno V
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Institut d'Investigació i Innovació Parc Taulí (I3PT)
Repositorio:r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
OAI Identifier:oai:i3pt.fundanetsuite.com:p1511
Acceso en línea:https://i3pt.portalinvestigacion.com/publicaciones/1511
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139151566&doi=10.1038%2fs41597-022-01697-5&partnerID=40&md5=734b729f659576dc75b53475b71679bc
Access Level:acceso abierto
Palabra clave:Biomarkers
Colonic Neoplasms
DNA Copy Number Variations
Humans
MicroRNAs
Prognosis
biological marker
microRNA
colon tumor
copy number variation
genetics
human
prognosis
Descripción
Sumario:Colonomics is a multi-omics dataset that includes 250 samples: 50 samples from healthy colon mucosa donors and 100 paired samples from colon cancer patients (tumor/adjacent). From these samples, Colonomics project includes data from genotyping, DNA methylation, gene expression, whole exome sequencing and micro-RNAs (miRNAs) expression. It also includes data from copy number variation (CNV) from tumoral samples. In addition, clinical data from all these samples is available. The aims of the project were to explore and integrate these datasets to describe colon cancer at molecular level and to compare normal and tumoral tissues. Also, to improve screening by finding biomarkers for the diagnosis and prognosis of colon cancer. This project has its own website including four browsers allowing users to explore Colonomics datasets. Since generated data could be reuse for the scientific community for exploratory or validation purposes, here we describe omics datasets included in the Colonomics project as well as results from multi-omics layers integration.

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