Home > Publications Database > Combined Analysis of mRNA Expression and Open Chromatin in Microglia. > print |
001 | 263611 | ||
005 | 20241203131416.0 | ||
020 | _ | _ | |a 978-1-0716-3436-3 (print) |
020 | _ | _ | |a 978-1-0716-3437-0 (electronic) |
024 | 7 | _ | |a 10.1007/978-1-0716-3437-0_35 |2 doi |
024 | 7 | _ | |a pmid:37639146 |2 pmid |
024 | 7 | _ | |a 1064-3745 |2 ISSN |
024 | 7 | _ | |a 1940-6029 |2 ISSN |
024 | 7 | _ | |a altmetric:153401809 |2 altmetric |
037 | _ | _ | |a DZNE-2023-00833 |
041 | _ | _ | |a English |
082 | _ | _ | |a 570 |
100 | 1 | _ | |a Scholz, Rebekka |0 P:(DE-2719)9001595 |b 0 |e First author |u dzne |
245 | _ | _ | |a Combined Analysis of mRNA Expression and Open Chromatin in Microglia. |
260 | _ | _ | |a New York, NY |c 2024 |b Springer US |
295 | 1 | 0 | |a Tissue-Resident Macrophages / Mass, Elvira (Editor) ; New York, NY : Springer US, 2024, Chapter 35 ; ISSN: 1064-3745=1940-6029 ; ISBN: 978-1-0716-3436-3=978-1-0716-3437-0 ; doi:10.1007/978-1-0716-3437-0 |
300 | _ | _ | |a 543 - 571 |
336 | 7 | _ | |a BOOK_CHAPTER |2 ORCID |
336 | 7 | _ | |a Book Section |0 7 |2 EndNote |
336 | 7 | _ | |a bookPart |2 DRIVER |
336 | 7 | _ | |a INBOOK |2 BibTeX |
336 | 7 | _ | |a Output Types/Book chapter |2 DataCite |
336 | 7 | _ | |a Contribution to a book |b contb |m contb |0 PUB:(DE-HGF)7 |s 1733228043_30589 |2 PUB:(DE-HGF) |
490 | 0 | _ | |a Methods in Molecular Biology |v 2713 |
520 | _ | _ | |a The advance of single-cell RNA-sequencing technologies in the past years has enabled unprecedented insights into the complexity and heterogeneity of microglial cell states in the homeostatic and diseased brain. This includes rather complex proteomic, metabolomic, morphological, transcriptomic, and epigenetic adaptations to external stimuli and challenges resulting in a novel concept of core microglia properties and functions. To uncover the regulatory programs facilitating the rapid transcriptomic adaptation in response to changes in the local microenvironment, the accessibility of gene bodies and gene regulatory elements can be assessed. Here, we describe the application of a previously published method for simultaneous high-throughput ATAC and RNA expression with sequencing (SHARE-seq) on microglia nuclei isolated from frozen mouse brain tissue. |
536 | _ | _ | |a 351 - Brain Function (POF4-351) |0 G:(DE-HGF)POF4-351 |c POF4-351 |f POF IV |x 0 |
536 | _ | _ | |a 352 - Disease Mechanisms (POF4-352) |0 G:(DE-HGF)POF4-352 |c POF4-352 |f POF IV |x 1 |
588 | _ | _ | |a Dataset connected to CrossRef Book Series, PubMed, , Journals: pub.dzne.de |
650 | _ | 7 | |a Bioinformatics |2 Other |
650 | _ | 7 | |a Chromatin accessibility |2 Other |
650 | _ | 7 | |a Epigenetics |2 Other |
650 | _ | 7 | |a Microglia |2 Other |
650 | _ | 7 | |a Multiomics |2 Other |
650 | _ | 7 | |a Single-nucleus sequencing |2 Other |
650 | _ | 7 | |a Transcriptomics |2 Other |
650 | _ | 7 | |a Chromatin |2 NLM Chemicals |
650 | _ | 7 | |a RNA, Messenger |2 NLM Chemicals |
650 | _ | 7 | |a RNA |0 63231-63-0 |2 NLM Chemicals |
650 | _ | 2 | |a Animals |2 MeSH |
650 | _ | 2 | |a Mice |2 MeSH |
650 | _ | 2 | |a Chromatin: genetics |2 MeSH |
650 | _ | 2 | |a Microglia |2 MeSH |
650 | _ | 2 | |a Proteomics |2 MeSH |
650 | _ | 2 | |a RNA, Messenger: genetics |2 MeSH |
650 | _ | 2 | |a RNA |2 MeSH |
693 | _ | _ | |0 EXP:(DE-2719)PRECISE-20190321 |5 EXP:(DE-2719)PRECISE-20190321 |e Platform for Single Cell Genomics and Epigenomics at DZNE University of Bonn |x 0 |
700 | 1 | _ | |a Brösamle, Desirée |0 P:(DE-2719)9000502 |b 1 |u dzne |
700 | 1 | _ | |a Yuan, Xidi |0 P:(DE-2719)9002065 |b 2 |u dzne |
700 | 1 | _ | |a Neher, Jonas J |0 P:(DE-2719)2811021 |b 3 |u dzne |
700 | 1 | _ | |a Beyer, Marc |0 P:(DE-2719)2812219 |b 4 |e Last author |u dzne |
773 | _ | _ | |a 10.1007/978-1-0716-3437-0_35 |
856 | 4 | _ | |u https://pub.dzne.de/record/263611/files/DZNE-2023-00833_Restricted.pdf |
856 | 4 | _ | |u https://pub.dzne.de/record/263611/files/DZNE-2023-00833_Restricted.pdf?subformat=pdfa |x pdfa |
909 | C | O | |p VDB |o oai:pub.dzne.de:263611 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 0 |6 P:(DE-2719)9001595 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 1 |6 P:(DE-2719)9000502 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 2 |6 P:(DE-2719)9002065 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 3 |6 P:(DE-2719)2811021 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 4 |6 P:(DE-2719)2812219 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-351 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Brain Function |x 0 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-352 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Disease Mechanisms |x 1 |
914 | 1 | _ | |y 2024 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-23 |
920 | 1 | _ | |0 I:(DE-2719)1013035 |k AG Beyer |l Immunogenomics and Neurodegeneration |x 0 |
920 | 1 | _ | |0 I:(DE-2719)1210012 |k AG Neher (Tübingen) |l Neuroimmunology and Neurodegenerative Disease |x 1 |
920 | 1 | _ | |0 I:(DE-2719)1013031 |k PRECISE |l Platform for Single Cell Genomics and Epigenomics |x 2 |
980 | _ | _ | |a contb |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-2719)1013035 |
980 | _ | _ | |a I:(DE-2719)1210012 |
980 | _ | _ | |a I:(DE-2719)1013031 |
980 | _ | _ | |a UNRESTRICTED |
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