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Adipose transcriptome response after a 6-day very-low energy fast in obesity, in the single-arm feeding trial FASTOMICS-6

Background: Fasting and ketogenic diets have gained popularity due to potential health benefits, in part via autophagy and other protective processes. However, although the basic physiology of fasting is well-established, we lack a deeper understanding of mechanisms on the tissue level and associated metabolome changes, particularly in humans. Method: 4 males and 9 females with severe obesity underwent a very-low-energy in-hospital feeding study (600 kcal/day). Plasma (n=13) and subcutaneous adipose tissue samples (n=12) were collected in the morning before and after 6 days and analyzed by GC-MS/MS and RNA-sequencing, respectively. Gene set enrichment analysis (GSEA) and weighted gene co-expression network analysis were used to identify biological pathways and modules of affected genes and their correlation with plasma ketones and metabolites.

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DUO:0000006
version: 2021-02-23

health or medical or biomedical research

This data use permission indicates that use is allowed for health/medical/biomedical purposes; does not include the study of population origins or ancestry.

DUO:0000020
version: 2021-02-23

collaboration required

This data use modifier indicates that the requestor must agree to collaboration with the primary study investigator(s).

DUO:0000021
version: 2021-02-23

ethics approval required

This data use modifier indicates that the requestor must provide documentation of local IRB/ERB approval.

DUO:0000025
version: 2021-02-23

time limit on use

This data use modifier indicates that use is approved for a specific number of months.

DUO:0000027
version: 2021-02-23

project specific restriction

This data use modifier indicates that use is limited to use within an approved project.

DUO:0000028
version: 2021-02-23

institution specific restriction

This data use modifier indicates that use is limited to use within an approved institution.

Helse Bergen HF Data Access Committee for the "Diettstudien" trial study dataset submitted to Federated EGA Norway

1. Data Access Committee A Data Access Committee (DAC) is a body of one or more named individuals who are responsible for data release to external requesters based on consent and/or National Research Ethics terms. Each dataset submitted by Helse Bergen HF for archival and controlled access sharing in Federated EGA Norway, has a DAC appointed by Helse Bergen HF to govern controlled access to the dataset according to this Data Access Policy. Multiple datasets may be affiliated to a single DAC. Helse Bergen HF as an institution has the overall data controller responsibility, and will appoint a DAC based on proper internal procedures that ensures involvement of institutional functions such as Data Protection Officer, legal control, etc. 2. Data use conditions To advise any would-be requester on how the data can be used, Data Use Ontology codes (DUO) is associated to each dataset, providing the requester more insights into which terms for sharing and use of the data that applies, and that needs to be addressed as part of the communication with the DAC in a data access request. No access to an Helse Bergen HF dataset deposited in FEGA Norway can be granted to a requester before all applicable conditions and requirements for the use and management of the data have been agreed upon in a signed Data Access Agreement. 3. Data Access Agreement The Data Access Agreement (DAA) will include requirements specific for both the dataset and the management of the data in the hands of the requester applying for access, and will thus be an individual DAA for each case of granted access to a dataset. As a rule, a DAA for an Helse Bergen HF dataset will take the form of a Data Transfer Agreement, where the requester will commit to take on responsibilities and duties as a data controller. A template for a GDPR compliant DAA between Helse Bergen HF and a data requester within the area of applicability of GDPR (European Economic Area) can be found here. For sharing of an Helse Bergen HF dataset from FEGA Norway to a location outside the area of applicability of GDPR, such as the United States, Canada, etc, a standard DAA template is not yet available. 4. Processing of requests for access The overall data access approval process at Helse Bergen HF can be summarised as follows: ● DAC for an Helse Bergen HF dataset is contacted by a potential data requester ● DAC continues communication with requester to understand the purpose of use, i.e. research setting the dataset is envisioned for by requester, to identify if data sharing is possible directly under current conditions for the dataset, or actions such as re-consenting is needed and desirable to accommodate the proposed research setting/data use. ● A Data Access Agreement is jointly formulated and agreed upon, with the DAC following internal Helse Bergen HF procedure to include the Data Protection Officer and Division for research support. ● When a completed DAA has been signed between the parties, and archived at Helse Bergen HF, the DAC will instruct the FEGA Norway node to release the data to the requester.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000001015 Transcriptome Sequencing

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF50000305691 fastq.gz 1.6 GB
Federated EGA
EGAF50000305692 fastq.gz 1.7 GB
Federated EGA
EGAF50000305693 fastq.gz 2.0 GB
Federated EGA
EGAF50000305694 fastq.gz 2.1 GB
Federated EGA
EGAF50000305695 fastq.gz 1.9 GB
Federated EGA
EGAF50000305696 fastq.gz 2.0 GB
Federated EGA
EGAF50000305697 fastq.gz 2.4 GB
Federated EGA
EGAF50000305698 fastq.gz 2.4 GB
Federated EGA
EGAF50000305699 fastq.gz 2.4 GB
Federated EGA
EGAF50000305700 fastq.gz 2.5 GB
Federated EGA
EGAF50000305701 fastq.gz 2.2 GB
Federated EGA
EGAF50000305702 fastq.gz 2.2 GB
Federated EGA
EGAF50000305703 fastq.gz 3.5 GB
Federated EGA
EGAF50000305704 fastq.gz 3.7 GB
Federated EGA
EGAF50000305705 fastq.gz 2.7 GB
Federated EGA
EGAF50000305706 fastq.gz 2.8 GB
Federated EGA
EGAF50000305707 fastq.gz 2.5 GB
Federated EGA
EGAF50000305708 fastq.gz 2.6 GB
Federated EGA
EGAF50000305709 fastq.gz 2.3 GB
Federated EGA
EGAF50000305710 fastq.gz 2.1 GB
Federated EGA
EGAF50000305711 fastq.gz 2.4 GB
Federated EGA
EGAF50000305712 fastq.gz 2.5 GB
Federated EGA
EGAF50000305713 fastq.gz 2.1 GB
Federated EGA
EGAF50000305714 fastq.gz 2.2 GB
Federated EGA
EGAF50000305715 fastq.gz 1.8 GB
Federated EGA
EGAF50000305716 fastq.gz 1.9 GB
Federated EGA
EGAF50000305717 fastq.gz 2.4 GB
Federated EGA
EGAF50000305718 fastq.gz 2.5 GB
Federated EGA
EGAF50000305719 fastq.gz 2.5 GB
Federated EGA
EGAF50000305720 fastq.gz 2.4 GB
Federated EGA
EGAF50000305721 fastq.gz 2.2 GB
Federated EGA
EGAF50000305722 fastq.gz 2.1 GB
Federated EGA
EGAF50000305723 fastq.gz 2.1 GB
Federated EGA
EGAF50000305724 fastq.gz 2.2 GB
Federated EGA
EGAF50000305725 fastq.gz 2.2 GB
Federated EGA
EGAF50000305726 fastq.gz 2.3 GB
Federated EGA
EGAF50000305727 fastq.gz 2.4 GB
Federated EGA
EGAF50000305728 fastq.gz 1.8 GB
Federated EGA
EGAF50000305731 fastq.gz 2.0 GB
Federated EGA
EGAF50000305732 fastq.gz 2.1 GB
Federated EGA
EGAF50000305733 fastq.gz 2.5 GB
Federated EGA
EGAF50000305734 fastq.gz 2.3 GB
Federated EGA
EGAF50000305735 fastq.gz 2.3 GB
Federated EGA
EGAF50000305736 fastq.gz 2.4 GB
Federated EGA
EGAF50000305737 fastq.gz 2.2 GB
Federated EGA
EGAF50000305738 fastq.gz 2.3 GB
Federated EGA
EGAF50000315442 txt 5.1 MB
Federated EGA
EGAF50000378322 fastq.gz 2.2 GB
Federated EGA
EGAF50000378323 fastq.gz 2.3 GB
Federated EGA
49 Files (110.6 GB)