Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Automated, high-dimensional evaluation of physiological aging and resilience in outbred mice.

eLife - 11 Apr 2022

Chen Zhenghao, Raj Anil, Prateek G V, Di Francesco Andrea, Liu Justin, Keyes Brice E, Kolumam Ganesh, Jojic Vladimir, Freund Adam

Abstract excerpt

Behavior and physiology are essential readouts in many studies but have not benefited from the high-dimensional data revolution that has transformed molecular and cellular phenotyping. To address this, we developed an approach that combines commercially available automated phenotyping hardware with a systems biology analysis pipeline to generate a high-dimensional readout of mouse behavior/physiology, as well as...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aging
Share to Mice
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Systems Biology

Source

Open in PubMed Open full text

Identifiers

PMID: 35404230
DOI: 10.7554/eLife.72664
PMCID: PMC9000950

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Automated, high-dimensional evaluation of physiological aging and resilience in outbred mice.PMID 35404230Read ↗

Investigating trajectories of aging using high-dimensional phenotyping in mice.Semantic proximity Read ↗

Computational and digital analyses in the INSPIRE mouse cohort to define sex-specific functional determinants of biological aging.Semantic proximity Read ↗

Transcriptomic Hallmarks of Mortality Reveal Universal and Specific Mechanisms of Aging, Chronic Disease, and RejuvenationSemantic proximity Read ↗

Multiomic clocks to predict phenotypic age in mice.Semantic proximity Read ↗

Unsupervised learning of aging principles from longitudinal dataSemantic proximity Read ↗

Longitudinal fragility phenotyping contributes to the prediction of lifespan and age-associated morbidity in C57BL/6 and Diversity Outbred mice.Semantic proximity Read ↗

Study of Longitudinal Aging in Mice: Presentation of Experimental Techniques.Semantic proximity Read ↗

Accessing Data Resources in the Mouse Phenome Database for Genetic Analysis of Murine Life Span and Health Span.Semantic proximity Read ↗

Deep Phenotyping and Lifetime Trajectories Reveal Limited Effects of Longevity Regulators on the Aging Process in C57BL/6J MiceSemantic proximity Read ↗

Age and life expectancy clocks based on machine learning analysis of mouse frailtySemantic proximity Read ↗

An epigenetic speedometer to measure Pace of Aging: FraminghamPACESemantic proximity Read ↗

The Jackson Laboratory Nathan Shock Center: impact of genetic diversity on aging.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.