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miR-Blood - a small RNA atlas of human blood components

miR-Blood is a high-quality, small RNA expression atlas for the major components of human peripheral blood (plasma, erythrocytes, thrombocytes, monocytes, neutrophils, eosinophils, basophils, natural killer cells, CD4+ T cells, CD8+ T cells, and B cells). Based on the purified blood components from...

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Main Authors: Jehn, Julia (Author) , Trudzinski, Franziska (Author) , Horos, Rastislav (Author) , Schenz, Judith (Author) , Uhle, Florian (Author) , Weigand, Markus A. (Author) , Frank, Maurice (Author) , Kahraman, Mustafa (Author) , Heuvelman, Marco (Author) , Sikosek, Tobias (Author) , Rajakumar, Timothy (Author) , Gerwing, Jennifer (Author) , Skottke, Jasmin (Author) , Daniel-Moreno, Alberto (Author) , Rudolf, Christina (Author) , Hinkfoth, Franziska (Author) , Tikk, Kaja (Author) , Christopoulos, Petros (Author) , Klotz, Laura Valentina (Author) , Winter, Hauke (Author) , Kreuter, Michael (Author) , Steinkraus, Bruno R. (Author)
Format: Article (Journal)
Language:English
Published: 02 February 2024
In: Scientific data
Year: 2024, Volume: 11, Pages: 1-13
ISSN:2052-4463
DOI:10.1038/s41597-024-02976-z
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41597-024-02976-z
Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41597-024-02976-z
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Author Notes:Julia Jehn, Franziska Trudzinski, Rastislav Horos, Judith Schenz, Florian Uhle, Markus A. Weigand, Maurice Frank, Mustafa Kahraman, Marco Heuvelman, Tobias Sikosek, Timothy Rajakumar, Jennifer Gerwing, Jasmin Skottke, Alberto Daniel-Moreno, Christina Rudolf, Franziska Hinkfoth, Kaja Tikk, Petros Christopoulos, Laura V. Klotz, Hauke Winter, Michael Kreuter & Bruno R. Steinkraus
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Summary:miR-Blood is a high-quality, small RNA expression atlas for the major components of human peripheral blood (plasma, erythrocytes, thrombocytes, monocytes, neutrophils, eosinophils, basophils, natural killer cells, CD4+ T cells, CD8+ T cells, and B cells). Based on the purified blood components from 52 individuals, the dataset provides a comprehensive repository for the expression of 4971 small RNAs from eight non-coding RNA classes.
Item Description:Gesehen am 06.06.2024
Physical Description:Online Resource
ISSN:2052-4463
DOI:10.1038/s41597-024-02976-z

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