Life-long behavioral screen reveals an architecture of vertebrate aging.

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Title: Life-long behavioral screen reveals an architecture of vertebrate aging.
Authors: Bedbrook CN; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA., Nath RD; Department of Genetics, Stanford University, Stanford, CA 94305, USA., Zhang L; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA., Linderman SW; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Department of Statistics, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA., Brunet A; Department of Genetics, Stanford University, Stanford, CA 94305, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Glenn Center for the Biology of Aging. Stanford University, Stanford, CA 94305, USA., Deisseroth K; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2025 Nov 23. Date of Electronic Publication: 2025 Nov 23.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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  Data: Life-long behavioral screen reveals an architecture of vertebrate aging.
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  Data: <searchLink fieldCode="AU" term="%22Bedbrook+CN%22">Bedbrook CN</searchLink>; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Nath+RD%22">Nath RD</searchLink>; Department of Genetics, Stanford University, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Linderman+SW%22">Linderman SW</searchLink>; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Department of Statistics, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Brunet+A%22">Brunet A</searchLink>; Department of Genetics, Stanford University, Stanford, CA 94305, USA.; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Glenn Center for the Biology of Aging. Stanford University, Stanford, CA 94305, USA.<br /><searchLink fieldCode="AU" term="%22Deisseroth+K%22">Deisseroth K</searchLink>; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.; The Phil & Penny Knight Initiative for Brain Resilience at the Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA 94305, USA.; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
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  Data: <searchLink fieldCode="JN" term="%22101680187%22">BioRxiv : the preprint server for biology</searchLink> [bioRxiv] 2025 Nov 23. <i>Date of Electronic Publication: </i>2025 Nov 23.
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  Data: <i>Country of Publication: </i>United States <i>NLM ID: </i>101680187 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2692-8205 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226928205%22">26928205 </searchLink><i>NLM ISO Abbreviation: </i>bioRxiv <i>Subsets: </i>PubMed not MEDLINE
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        Value: 10.1101/2025.11.21.688112
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              Text: 2025 Nov 23
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