Gutenberg Open Science: Nuclei on the rise : when nuclei-based methods meet next-generation sequencing

Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-9027

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DC Field	Value	Language
dc.contributor.author	Butto, Tamer	-
dc.contributor.author	Mungikar, Kanak	-
dc.contributor.author	Baumann, Peter	-
dc.contributor.author	Winter, Jennifer	-
dc.contributor.author	Lutz, Beat	-
dc.contributor.author	Gerber, Susanne	-
dc.date.accessioned	2023-04-20T11:01:08Z	-
dc.date.available	2023-04-20T11:01:08Z	-
dc.date.issued	2023	-
dc.identifier.uri	https://openscience.ub.uni-mainz.de/handle/20.500.12030/9044	-
dc.description.abstract	In the last decade, we have witnessed an upsurge in nuclei-based studies, particularly coupled with next-generation sequencing. Such studies aim at understanding the molecular states that exist in heterogeneous cell populations by applying increasingly more affordable sequencing approaches, in addition to optimized methodologies developed to isolate and select nuclei. Although these powerful new methods promise unprecedented insights, it is important to understand and critically consider the associated challenges. Here, we provide a comprehensive overview of the rise of nuclei-based studies and elaborate on their advantages and disadvantages, with a specific focus on their utility for transcriptomic sequencing analyses. Improved designs and appropriate use of the various experimental strategies will result in acquiring biologically accurate and meaningful information.	de_DE
dc.language.iso	eng	de
dc.rights	CC BY	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.ddc	570 Biowissenschaften	de_DE
dc.subject.ddc	570 Life sciences	en_GB
dc.title	Nuclei on the rise : when nuclei-based methods meet next-generation sequencing	de_DE
dc.type	Zeitschriftenaufsatz	de
dc.identifier.doi	http://doi.org/10.25358/openscience-9027	-
jgu.type.contenttype	Scientific article	de
jgu.type.dinitype	article	en_GB
jgu.type.version	Published version	de
jgu.type.resource	Text	de
jgu.organisation.department	FB 10 Biologie	de
jgu.organisation.number	7970	-
jgu.organisation.name	Johannes Gutenberg-Universität Mainz	-
jgu.rights.accessrights	openAccess	-
jgu.journal.title	Cells	de
jgu.journal.volume	12	de
jgu.journal.issue	7	de
jgu.pages.alternative	1051	de
jgu.publisher.year	2023	-
jgu.publisher.name	MDPI	de
jgu.publisher.place	Basel	de
jgu.publisher.issn	2073-4409	de
jgu.organisation.place	Mainz	-
jgu.subject.ddccode	570	de
jgu.publisher.doi	10.3390/cells12071051	de
jgu.organisation.ror	https://ror.org/023b0x485	-
jgu.subject.dfg	Naturwissenschaften	de
Appears in collections:	DFG-491381577-G

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