biomedical and healthCAre Data Discovery Index Ecosystem
biomedical and healthCAre Data Discovery Index Ecosystem
| Title: | High-throughput miRNA sequencing and identification of biomarkers for forensically relevant biological fluids
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| dateReleased: |
08-20-2016
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| description: |
In this study, small RNAs were isolated from individual donations of eight forensically relevant biological fluids (blood, semen, vaginal fluid, menstrual blood, saliva, urine, feces, and perspiration) and subjected to next generation sequencing using the Illumina® Hi-Seq platform. Sequencing reads were aligned and annotated against miRbase release 21, resulting in a list of miRNAs and their relative expression levels for each sample analyzed. Body fluids with high bacterial loads (vaginal fluid, saliva, and feces) yielded relatively low annotated miRNA counts, likely due to oversaturation of small RNAs from the endogenous bacteria. Both body-fluid specific and potential normalization miRNAs were identified for further analysis as potential body fluid identification tools for each body fluid. 32 samples - 3-5 replicates of each human biological fluid: venous blood, urine, semen (normal and vasectomized), vaginal secretions, menstrual secretions, perspiration, feces, saliva
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| privacy: |
not applicable
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| aggregation: |
instance of dataset
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| ID: |
E-GEOD-85830
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| refinement: |
raw
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| alternateIdentifiers: |
85830
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| keywords: |
functional genomics
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| dateModified: |
09-12-2016
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| availability: |
available
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| types: |
gene expression
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| name: |
Homo sapiens
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| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-85830/E-GEOD-85830.raw.1.zip |
| storedIn: |
ArrayExpress
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| qualifier: |
gzip compressed
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| format: |
TXT
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| accessType: |
download
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| authentication: |
none
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| authorization: |
none
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| accessURL: | https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-85830/E-GEOD-85830.processed.1.zip |
| storedIn: |
ArrayExpress
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| qualifier: |
gzip compressed
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| format: |
TXT
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| accessType: |
download
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| authentication: |
none
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| authorization: |
none
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| accessURL: | https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE85830 |
| storedIn: |
Gene Expression Omnibus
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| qualifier: |
not compressed
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| format: |
HTML
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| accessType: |
landing page
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| primary: |
true
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| authentication: |
none
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| authorization: |
none
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| abbreviation: |
EBI
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| homePage: | http://www.ebi.ac.uk/ |
| ID: |
SCR:004727
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| name: |
European Bioinformatics Institute
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| homePage: | https://www.ebi.ac.uk/arrayexpress/ |
| ID: |
SCR:002964
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| name: |
ArrayExpress
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