EATRIS-Plus multi-omics data of a human reference cohort
Contributors
Project leader:
Project manager:
Project member (32):
- Bendova, Michaela2
- Donner, Kati3
- Dzubak, Petr2
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Ekberg, Sara4
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Engelke, Udo5
- Ghimire, Bishwa3
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Gloerich, Jolein5
- Hannula, Sari3
- Hlavackova, Zuzana2
- Houskova, Iva2
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Kulkarni, Purva5
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Lanza, Val F.6
- Lindgren, Hanna3
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Moreno, Elisa Conde6
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Mattila, Pirkko3
- Muller, Arnaud7
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Najdekr, Lukás8
- Nazarov, Petr7
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Niehues, Anna5
- Palva, Aino3
- Pavlis, Petr2
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Puhka, Maija3
- Quintero, Ileana3
- Rozankova, Zuzana2
- Siska, Bronislav2
- Srovnal, Josef2
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Stanková, Jarmila9
- Toth, Reka7
- Vrbkova, Jana2
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Wessels, Hans5
- Yadav, Bhagwan3
- Zizkovicova, Patricia2
Work package leader (5):
- 1. EATRIS ERIC, European Infrastructure for Translational Medicine
- 2. Palacky University and University Hospital Olomouc
-
3.
Institute for Molecular Medicine Finland
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4.
Uppsala University
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5.
Radboud University Medical Center
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6.
Instituto Ramón y Cajal de Investigación Sanitaria
- 7. Luxembourg Institute of Health
- 8. Faculty of Medicine and Dentistry Palacky University Olomouc
- 9. Faculty of Medicine and Dentistry Palacky University Olomuoc
Description
In this reference study, blood samples of 127 healthy individuals were analyzed with a wide range of -omics technologies, resulting in the most comprehensive -omics
profiling data set that is publicly available. The molecular measurements that are available here, can be used as reference values for any future (multi-)omics studyies. Along with phenotypic information (Sex, Age, BMI etc. and measured cell types levels) on the healthy subjects, the following data types are included:
- Targeted metabolomics (acylcarnitines, amino acids and very long chain fatty acids)
- Lipidomics (negative and positive ionization modes)
- Proteomics
- mRNA-seq
- miRNA-seq
- miRNA qRT-PCR
- Enzymation Methylation sequencing
The pre-processed mult-omics data can be accessed here in the shape of a MultiAssayExperiment object (Ramos et al. 2017). Instructions on how to read the object into R can be found here: Read_MultiAssayExperiment.
A similar object for Python (MuData) including the same data will be added later.
DATA AVAILABILITY STATEMENT:
Full data related to the EATRIS-Plus multiomic cohort are available in the ClinData repository (https://clindata.imtm.cz) and include full phenotypic information, physical and laboratory examinations, multiomic data from white blood cells (whole genome sequencing, enzymatic methylation DNA sequencing, mRNA sequencing, miRNA sequencing) or plasma (miRNA qPCR profiling, proteomics, targeted metabolomics, untargeted lipidomics, Raman spectroscopy profiling). However, access is restricted due to legal, ethical, scientific and/or commercial reasons. Access to the data is subject to approval and a data sharing transfer agreement. For data access please contact data.access@imtm.cz.
Files
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Additional details
Identifiers
Related works
- Has metadata
- Software: https://github.com/EATRIS/eatris-plus-isa (URL)
- Software: https://github.com/EATRIS/phenopackets_template (URL)
- Is described by
- Preprint: 10.1101/2023.10.25.563912 (DOI)
Funding
- European Commission
- Horizon 2020 871096
Dates
- Submitted
-
2024-03-12
Software
- Programming language
- R