Longitudinal Transcriptomic Profiling of Endothelial Progenitor Cells in Post-COVID-19 Patients: Insights at 3 and 6-Months Post-SARS-CoV-2 Infection
Raw transcriptomic data from endothelial cells of post-COVID patients and healthy controls. Samples were collected from post-COVID patients at 3 months (n = 6) and 6 months (n = 6) post-infection, as well as from healthy control individuals (n = 5). All post-COVID patients were hospitalized during the first wave of the pandemic. Among them, half developed pulmonary embolism (TEP; n = 6), while the other half did not (no TEP; n = 6).
- 04/06/2025
- 17 samples
- DAC: EGAC50000000607
- Technology: Illumina HiSeq 3000
DUO:0000018 version: 2021-02-23
not for profit, non commercial use only
This data use modifier indicates that use of the data is limited to not-for-profit organizations and not-for-profit use, non-commercial use.
DUO:0000019 version: 2021-02-23
publication required
This data use modifier indicates that requestor agrees to make results of studies using the data available to the larger scientific community.
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:0000042 version: 2021-02-23
general research use
This data use permission indicates that use is allowed for general research use for any research purpose.
Post-COVID Bulk RNA-seq Data
This Data Access Policy (DAP) outlines the principles and procedures governing the access, use, and governance of transcriptomic data derived from endothelial progenitor cells (EPCs) isolated from Post-COVID patients at 3 and 6 months following SARS-CoV-2 infection. The dataset is intended to support scientific research into the long-term impact of COVID-19 on endothelial biology and function
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 |
|---|---|---|
| EGAS50000000993 | RNASeq |
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 |
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| EGAF50000367895 | fastq.gz | 1.1 GB |
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| EGAF50000367896 | fastq.gz | 1.1 GB |
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| EGAF50000367897 | fastq.gz | 1.0 GB |
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| EGAF50000367898 | fastq.gz | 1.0 GB |
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| EGAF50000367899 | fastq.gz | 1.1 GB |
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| EGAF50000367900 | fastq.gz | 1.1 GB |
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| EGAF50000367901 | fastq.gz | 1.0 GB |
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| EGAF50000367902 | fastq.gz | 1.1 GB |
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| EGAF50000367903 | fastq.gz | 1.0 GB |
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| EGAF50000367904 | fastq.gz | 1.1 GB |
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| EGAF50000367905 | fastq.gz | 969.9 MB |
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| EGAF50000367906 | fastq.gz | 1.1 GB |
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| EGAF50000367907 | fastq.gz | 1.1 GB |
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| EGAF50000367908 | fastq.gz | 1.1 GB |
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| EGAF50000367909 | fastq.gz | 1.0 GB |
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| EGAF50000367910 | fastq.gz | 1.0 GB |
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| EGAF50000367911 | fastq.gz | 1.0 GB |
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| EGAF50000367912 | fastq.gz | 1.0 GB |
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| EGAF50000367913 | fastq.gz | 1.1 GB |
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| EGAF50000367914 | fastq.gz | 1.0 GB |
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| EGAF50000367915 | fastq.gz | 1.0 GB |
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| EGAF50000367916 | fastq.gz | 1.1 GB |
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| EGAF50000367917 | fastq.gz | 1.1 GB |
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| EGAF50000367918 | fastq.gz | 1.0 GB |
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| EGAF50000367919 | fastq.gz | 1.0 GB |
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| EGAF50000367920 | fastq.gz | 1.1 GB |
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| EGAF50000367921 | fastq.gz | 1.1 GB |
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| EGAF50000367922 | fastq.gz | 1.1 GB |
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| EGAF50000367923 | fastq.gz | 1.1 GB |
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| EGAF50000367924 | fastq.gz | 1.1 GB |
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| EGAF50000367925 | fastq.gz | 1.1 GB |
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| EGAF50000367926 | fastq.gz | 1.1 GB |
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| EGAF50000367927 | fastq.gz | 1.1 GB |
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| EGAF50000367928 | fastq.gz | 1.1 GB |
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| 34 Files (36.0 GB) | ||||
