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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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Claim

Hepatitis D infection induces IFN-β-mediated NK cell activation and TRAIL-dependent cytotoxicity

Research datakeyboard_double_arrow_right Dataset 23 Oct 2023 English Publisher:ZenodoFunded by:EC | MATURE-NK, DFG | unidentified
Authors: Christopher Groth; Jovana Maric; Irene Garcés Lázaro; Tomáš Hofman; Zhenfeng Zhang; Yi Ni; Franziska Keller; +7 Authors

doi: 10.5281/zenodo.8375191 , 10.5281/zenodo.8375190

Hepatitis D infection induces IFN-β-mediated NK cell activation and TRAIL-dependent cytotoxicity

Abstract

The dataset contains bulk RNA-seq read count matrices of NK cells from healthy donors after 48 h of co-culture with hepatitis D virus infected and non-infected HepG2-hNTCP cells. The samples are described in the table RNA-seq_samples.xls that is included with the count matrices. Further details are given in the publication associated with this dataset (Groth et al., Front Immunol, 2023, https://doi.org/10.3389/fimmu.2023.1287367).

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Keywords

RNA sequencing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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