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ZENODO
Dataset . 2023
Data sources: ZENODO
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ZENODO
Dataset . 2023
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2023
Data sources: Datacite
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Claim

snATAC-seq and snRNA-seq in the chromatin landscape of healthy and injured cell types in the human kidney

Research datakeyboard_double_arrow_right Dataset 12 Jun 2023Embargo end date: 13 Feb 2024 English Publisher:Zenodo
Authors: Jain, Sanjay; Blue, Lake B.; Eadon, Michael T.; Gisch, Debora L.;

doi: 10.5281/zenodo.8029990 , 10.5281/zenodo.8029989

snATAC-seq and snRNA-seq in the chromatin landscape of healthy and injured cell types in the human kidney

Abstract

Isolated nuclei were immediately processed using the Chromium Next GEM Single Cell Multiome ATAC + Gene Expression (v1.0) kit, following the step-by-step protocol provided online [https://dx.doi.org/10.17504/protocols.io.5qpvoby69l4o/v2].The RNA and ATAC libraries were separately sequenced on the NovaSeq 6000 system (Illumina) using the NovaSeq Control Software versions 1.7.0 and 1.7.5. Sample demultiplexing, barcode processing, gene expression quantification, and open chromatin peak quantification were performed using the Cell Ranger Arc software (version 2.0.0) with the GRCh38 (hg38) reference genome. Published in: DOI: 10.1038/s41467-023-44467-6

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Keywords

snATAC-seq; snRNA-seq; human kidney; hg38/GRCh38

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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!
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