Home > Publications Database > Applying single-cell and single-nucleus genomics to studies of cellular heterogeneity and cell fate transitions in the nervous system. > print |
001 | 275838 | ||
005 | 20250119000340.0 | ||
024 | 7 | _ | |a 10.1038/s41593-024-01827-9 |2 doi |
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024 | 7 | _ | |a 1097-6256 |2 ISSN |
024 | 7 | _ | |a 1546-1726 |2 ISSN |
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037 | _ | _ | |a DZNE-2025-00073 |
041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Adameyko, Igor |0 0000-0001-5471-0356 |b 0 |
245 | _ | _ | |a Applying single-cell and single-nucleus genomics to studies of cellular heterogeneity and cell fate transitions in the nervous system. |
260 | _ | _ | |a New York, NY |c 2024 |b Nature America |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1736774996_30145 |2 PUB:(DE-HGF) |x Review Article |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Single-cell and single-nucleus genomic approaches can provide unbiased and multimodal insights. Here, we discuss what constitutes a molecular cell atlas and how to leverage single-cell omics data to generate hypotheses and gain insights into cell transitions in development and disease of the nervous system. We share points of reflection on what to consider during study design and implementation as well as limitations and pitfalls. |
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588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de |
650 | _ | 2 | |a Animals |2 MeSH |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Cell Differentiation: genetics |2 MeSH |
650 | _ | 2 | |a Cell Nucleus: metabolism |2 MeSH |
650 | _ | 2 | |a Cell Nucleus: genetics |2 MeSH |
650 | _ | 2 | |a Genomics: methods |2 MeSH |
650 | _ | 2 | |a Nervous System: cytology |2 MeSH |
650 | _ | 2 | |a Nervous System: metabolism |2 MeSH |
650 | _ | 2 | |a Single-Cell Analysis: methods |2 MeSH |
700 | 1 | _ | |a Bakken, Trygve |0 0000-0003-3373-7386 |b 1 |
700 | 1 | _ | |a Bhaduri, Aparna |0 0000-0003-4625-6899 |b 2 |
700 | 1 | _ | |a Chhatbar, Chintan |0 0000-0002-5824-5209 |b 3 |
700 | 1 | _ | |a Filbin, Mariella G |b 4 |
700 | 1 | _ | |a Gate, David |0 0000-0003-0481-9657 |b 5 |
700 | 1 | _ | |a Hochgerner, Hannah |0 0000-0002-7739-666X |b 6 |
700 | 1 | _ | |a Kim, Chang Nam |0 0000-0001-7921-4447 |b 7 |
700 | 1 | _ | |a Krull, Jordan |0 0000-0001-6507-8085 |b 8 |
700 | 1 | _ | |a La Manno, Gioele |0 0000-0003-1428-8757 |b 9 |
700 | 1 | _ | |a Li, Qingyun |0 0000-0002-3457-5967 |b 10 |
700 | 1 | _ | |a Linnarsson, Sten |0 0000-0002-3491-3444 |b 11 |
700 | 1 | _ | |a Ma, Qin |0 0000-0002-3264-8392 |b 12 |
700 | 1 | _ | |a Mayer, Christian |0 0000-0003-3152-5574 |b 13 |
700 | 1 | _ | |a Menon, Vilas |0 0000-0002-4096-8601 |b 14 |
700 | 1 | _ | |a Nano, Patricia |0 0000-0002-5507-2656 |b 15 |
700 | 1 | _ | |a Prinz, Marco |0 0000-0002-0349-1955 |b 16 |
700 | 1 | _ | |a Quake, Steve |b 17 |
700 | 1 | _ | |a Walsh, Christopher A |0 0000-0002-0156-2238 |b 18 |
700 | 1 | _ | |a Yang, Jin |b 19 |
700 | 1 | _ | |a Bayraktar, Omer Ali |0 0000-0001-6055-277X |b 20 |
700 | 1 | _ | |a Gokce, Ozgun |0 P:(DE-2719)9002754 |b 21 |
700 | 1 | _ | |a Habib, Naomi |0 0000-0002-6049-2487 |b 22 |
700 | 1 | _ | |a Konopka, Genevieve |0 0000-0002-3363-7302 |b 23 |
700 | 1 | _ | |a Liddelow, Shane A |0 0000-0002-0840-1437 |b 24 |
700 | 1 | _ | |a Nowakowski, Tomasz J |0 0000-0003-2345-4964 |b 25 |
773 | _ | _ | |a 10.1038/s41593-024-01827-9 |g Vol. 27, no. 12, p. 2278 - 2291 |0 PERI:(DE-600)1494955-6 |n 12 |p 2278 - 2291 |t Nature neuroscience |v 27 |y 2024 |x 1097-6256 |
856 | 4 | _ | |u https://pub.dzne.de/record/275838/files/DZNE-2025-00073_Restricted.pdf |
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