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| 001 | 131720 | ||
| 005 | 20240229105009.0 | ||
| 024 | 7 | _ | |a 10.1016/j.pnpbp.2017.05.019 |2 doi |
| 024 | 7 | _ | |a pmid:28536069 |2 pmid |
| 024 | 7 | _ | |a 0278-5846 |2 ISSN |
| 024 | 7 | _ | |a 1878-4216 |2 ISSN |
| 024 | 7 | _ | |a altmetric:20583380 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2018-00026 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Feng, Weijun |0 P:(DE-He78)a9542bb104fe3f4d562e1d275e03f5ba |b 0 |e First author |
| 245 | _ | _ | |a CRISPR-engineered genome editing for the next generation neurological disease modeling. |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2018 |b Elsevier Science |
| 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 1680173214_7807 |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 |
| 500 | _ | _ | |a DKFZ-ZMBH-Allianz |
| 520 | _ | _ | |a Neurological disorders often occur because of failure of proper brain development and/or appropriate maintenance of neuronal circuits. In order to understand roles of causative factors (e.g. genes, cell types) in disease development, generation of solid animal models has been one of straight-forward approaches. Recent next generation sequencing studies on human patient-derived clinical samples have identified various types of recurrent mutations in individual neurological diseases. While these discoveries have prompted us to evaluate impact of mutated genes on these neurological diseases, a feasible but flexible genome editing tool had remained to be developed. An advance of genome editing technology using the clustered regularly interspaced short palindromic repeats (CRISPR) with the CRISPR-associated protein (Cas) offers us a tremendous potential to create a variety of mutations in the cell, leading to 'next generation' disease models carrying disease-associated mutations. We will here review recent progress of CRISPR-based brain disease modeling studies and discuss future requirement to tackle current difficulties in usage of these technologies. |
| 536 | _ | _ | |a 312 - Functional and structural genomics (POF3-312) |0 G:(DE-HGF)POF3-312 |c POF3-312 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 700 | 1 | _ | |a Liu, Hai-Kun |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Kawauchi, Daisuke |0 P:(DE-He78)0ac2bd1a9fb1823a351ee4434d80808b |b 2 |e Last author |
| 773 | _ | _ | |a 10.1016/j.pnpbp.2017.05.019 |g Vol. 81, p. 459 - 467 |0 PERI:(DE-600)2008803-6 |p 459 - 467 |t Progress in neuro-psychopharmacology & biological psychiatry |v 81 |y 2018 |x 0278-5846 |
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| 914 | 1 | _ | |y 2018 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b PROG NEURO-PSYCHOPH : 2015 |
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| 920 | 1 | _ | |0 I:(DE-He78)A240-20160331 |k A240 |l A240 Molekulare Neurogenetik |x 0 |
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