| Home > Publications Database > Systems genetics identifies Hp1bp3 as a novel modulator of cognitive aging. > print |
| 001 | 138861 | ||
| 005 | 20240321220519.0 | ||
| 024 | 7 | _ | |a 10.1016/j.neurobiolaging.2016.06.008 |2 doi |
| 024 | 7 | _ | |a pmid:27460150 |2 pmid |
| 024 | 7 | _ | |a pmc:PMC5018442 |2 pmc |
| 024 | 7 | _ | |a 0197-4580 |2 ISSN |
| 024 | 7 | _ | |a 1558-1497 |2 ISSN |
| 024 | 7 | _ | |a altmetric:8848994 |2 altmetric |
| 037 | _ | _ | |a DZNE-2020-05183 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Neuner, Sarah M |b 0 |
| 245 | _ | _ | |a Systems genetics identifies Hp1bp3 as a novel modulator of cognitive aging. |
| 260 | _ | _ | |a Amsterdam [u.a.] |c 2016 |b Elsevier Science |
| 264 | _ | 1 | |3 print |2 Crossref |b Elsevier BV |c 2016-10-01 |
| 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 1707924803_4695 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 520 | _ | _ | |a An individual's genetic makeup plays an important role in determining susceptibility to cognitive aging. Identifying the specific genes that contribute to cognitive aging may aid in early diagnosis of at-risk patients, as well as identify novel therapeutics targets to treat or prevent development of symptoms. Challenges to identifying these specific genes in human studies include complex genetics, difficulty in controlling environmental factors, and limited access to human brain tissue. Here, we identify Hp1bp3 as a novel modulator of cognitive aging using a genetically diverse population of mice and confirm that HP1BP3 protein levels are significantly reduced in the hippocampi of cognitively impaired elderly humans relative to cognitively intact controls. Deletion of functional Hp1bp3 in mice recapitulates memory deficits characteristic of aged impaired mice and humans, further supporting the idea that Hp1bp3 and associated molecular networks are modulators of cognitive aging. Overall, our results suggest Hp1bp3 may serve as a potential target against cognitive aging and demonstrate the utility of genetically diverse animal models for the study of complex human disease. |
| 536 | _ | _ | |a 342 - Disease Mechanisms and Model Systems (POF3-342) |0 G:(DE-HGF)POF3-342 |c POF3-342 |f POF III |x 0 |
| 542 | _ | _ | |i 2016-10-01 |2 Crossref |u https://www.elsevier.com/tdm/userlicense/1.0/ |
| 542 | _ | _ | |i 2016-06-18 |2 Crossref |u http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 650 | _ | 7 | |a HP1BP3 protein, mouse |2 NLM Chemicals |
| 650 | _ | 7 | |a Nuclear Proteins |2 NLM Chemicals |
| 650 | _ | 2 | |a Aging: genetics |2 MeSH |
| 650 | _ | 2 | |a Animals |2 MeSH |
| 650 | _ | 2 | |a Cognition: physiology |2 MeSH |
| 650 | _ | 2 | |a Cognition Disorders: genetics |2 MeSH |
| 650 | _ | 2 | |a Cognition Disorders: psychology |2 MeSH |
| 650 | _ | 2 | |a Cognitive Aging: physiology |2 MeSH |
| 650 | _ | 2 | |a Conditioning, Psychological: physiology |2 MeSH |
| 650 | _ | 2 | |a Disease Models, Animal |2 MeSH |
| 650 | _ | 2 | |a Fear |2 MeSH |
| 650 | _ | 2 | |a Female |2 MeSH |
| 650 | _ | 2 | |a Genetic Association Studies |2 MeSH |
| 650 | _ | 2 | |a Genetic Predisposition to Disease: genetics |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Male |2 MeSH |
| 650 | _ | 2 | |a Memory: physiology |2 MeSH |
| 650 | _ | 2 | |a Memory Disorders: genetics |2 MeSH |
| 650 | _ | 2 | |a Memory Disorders: psychology |2 MeSH |
| 650 | _ | 2 | |a Mice |2 MeSH |
| 650 | _ | 2 | |a Mice, Knockout |2 MeSH |
| 650 | _ | 2 | |a Nuclear Proteins: physiology |2 MeSH |
| 700 | 1 | _ | |a Garfinkel, Benjamin P |b 1 |
| 700 | 1 | _ | |a Wilmott, Lynda A |b 2 |
| 700 | 1 | _ | |a Ignatowska-Jankowska, Bogna M |b 3 |
| 700 | 1 | _ | |a Citri, Ami |b 4 |
| 700 | 1 | _ | |a Orly, Joseph |b 5 |
| 700 | 1 | _ | |a Lu, Lu |b 6 |
| 700 | 1 | _ | |a Overall, Rupert W |0 P:(DE-HGF)0 |b 7 |
| 700 | 1 | _ | |a Kempermann, Gerd |0 P:(DE-2719)2000011 |b 8 |e Corresponding author |u dzne |
| 700 | 1 | _ | |a Mulligan, Megan K |b 9 |
| 700 | 1 | _ | |a Williams, Robert W |b 10 |
| 700 | 1 | _ | |a O'Connell, Kristen M S |b 11 |
| 700 | 1 | _ | |a Kaczorowski, Catherine C |b 12 |
| 773 | 1 | 8 | |a 10.1016/j.neurobiolaging.2016.06.008 |b : Elsevier BV, 2016-10-01 |p 58-67 |3 journal-article |2 Crossref |t Neurobiology of Aging |v 46 |y 2016 |x 0197-4580 |
| 773 | _ | _ | |a 10.1016/j.neurobiolaging.2016.06.008 |g Vol. 46, p. 58 - 67 |0 PERI:(DE-600)1498414-3 |q 46<58 - 67 |p 58-67 |t Neurobiology of aging |v 46 |y 2016 |x 0197-4580 |
| 856 | 4 | _ | |y OpenAccess |u https://pub.dzne.de/record/138861/files/DZNE-2020-05183.pdf |
| 856 | 4 | _ | |y OpenAccess |x pdfa |u https://pub.dzne.de/record/138861/files/DZNE-2020-05183.pdf?subformat=pdfa |
| 856 | 7 | _ | |2 Pubmed Central |u http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5018442 |
| 909 | C | O | |o oai:pub.dzne.de:138861 |p openaire |p open_access |p VDB |p driver |p dnbdelivery |
| 910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 8 |6 P:(DE-2719)2000011 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Erkrankungen des Nervensystems |1 G:(DE-HGF)POF3-340 |0 G:(DE-HGF)POF3-342 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-300 |4 G:(DE-HGF)POF |v Disease Mechanisms and Model Systems |x 0 |
| 914 | 1 | _ | |y 2016 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |
| 915 | _ | _ | |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 |0 LIC:(DE-HGF)CCBYNCND4 |2 HGFVOC |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NEUROBIOL AGING : 2017 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0110 |2 StatID |b Science Citation Index |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0111 |2 StatID |b Science Citation Index Expanded |
| 915 | _ | _ | |a IF < 5 |0 StatID:(DE-HGF)9900 |2 StatID |
| 915 | _ | _ | |a OpenAccess |0 StatID:(DE-HGF)0510 |2 StatID |
| 915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0310 |2 StatID |b NCBI Molecular Biology Database |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |
| 920 | 1 | _ | |0 I:(DE-2719)1710001 |k AG Kempermann |l Adult Neurogenesis |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-2719)1710001 |
| 980 | 1 | _ | |a FullTexts |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|