Home > Publications Database > Tagger-A Swiss army knife for multiomics to dissect cell type-specific mechanisms of gene expression in mice. > print

001     140925
005     20240321220913.0
024 7 _ |a 10.1371/journal.pbio.3000374
|2 doi
024 7 _ |a pmid:31393866
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024 7 _ |a pmc:PMC6701817
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024 7 _ |a 1544-9173
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024 7 _ |a 1545-7885
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024 7 _ |a altmetric:64732725
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037 _ _ |a DZNE-2020-07247
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Kaczmarczyk, Lech
|0 P:(DE-2719)2810486
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245 _ _ |a Tagger-A Swiss army knife for multiomics to dissect cell type-specific mechanisms of gene expression in mice.
260 _ _ |a Lawrence, KS
|c 2019
|b PLoS
264 _ 1 |3 online
|2 Crossref
|b Public Library of Science (PLoS)
|c 2019-08-08
336 7 _ |a article
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336 7 _ |a ARTICLE
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520 _ _ |a A deep understanding of how regulation of the multiple levels of gene expression in mammalian tissues give rise to complex phenotypes has been impeded by cellular diversity. A handful of techniques were developed to tag-select nucleic acids of interest in specific cell types, thereby enabling their capture. We expanded this strategy by developing the Tagger knock-in mouse line bearing a quad-cistronic transgene combining enrichment tools for nuclei, nascent RNA, translating mRNA, and mature microRNA (miRNA). We demonstrate that Tagger can capture the desired nucleic acids, enabling multiple omics approaches to be applied to specific cell types in vivo using a single transgenic mouse line.
536 _ _ |a 342 - Disease Mechanisms and Model Systems (POF3-342)
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542 _ _ |i 2019-08-08
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|u http://creativecommons.org/licenses/by/4.0/
588 _ _ |a Dataset connected to CrossRef, PubMed,
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Cloning, Molecular: methods
|2 MeSH
650 _ 2 |a Gene Expression: genetics
|2 MeSH
650 _ 2 |a Gene Expression Profiling: methods
|2 MeSH
650 _ 2 |a Gene Expression Regulation: genetics
|2 MeSH
650 _ 2 |a Gene Knock-In Techniques
|2 MeSH
650 _ 2 |a Genomics: methods
|2 MeSH
650 _ 2 |a Mice
|2 MeSH
650 _ 2 |a Mice, Inbred C57BL
|2 MeSH
650 _ 2 |a Mice, Transgenic: genetics
|2 MeSH
650 _ 2 |a MicroRNAs: genetics
|2 MeSH
650 _ 2 |a Nucleic Acids: isolation & purification
|2 MeSH
650 _ 2 |a Proteomics: methods
|2 MeSH
650 _ 2 |a RNA, Messenger: genetics
|2 MeSH
650 _ 2 |a Transcriptome: genetics
|2 MeSH
650 _ 2 |a Transgenes: genetics
|2 MeSH
650 _ 2 |a Whole Genome Sequencing: methods
|2 MeSH
700 1 _ |a Bansal, Vikas
|0 P:(DE-HGF)0
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700 1 _ |a Rajput, Ashish
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700 1 _ |a Rahman, Raza-Ur
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Krzyżak, Wiesław
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Degen, Joachim
|0 P:(DE-HGF)0
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700 1 _ |a Poll, Stefanie
|0 P:(DE-2719)2810397
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|u dzne
700 1 _ |a Fuhrmann, Martin
|0 P:(DE-2719)2679991
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700 1 _ |a Bonn, Stefan
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700 1 _ |a Jackson, Walker Scot
|0 P:(DE-2719)2810253
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773 1 8 |a 10.1371/journal.pbio.3000374
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|v 17
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773 _ _ |a 10.1371/journal.pbio.3000374
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856 7 _ |2 Pubmed Central
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914 1 _ |y 2019
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