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  1. Article

    Open Access

    Longitudinal fragility phenoty** contributes to the prediction of lifespan and age-associated morbidity in C57BL/6 and Diversity Outbred mice

    Aging studies in mammalian models often depend on natural lifespan data as a primary outcome. Tools for lifespan prediction could accelerate these studies and reduce the need for veterinary intervention. Here,...

    Alison Luciano, Laura Robinson, Gaven Garland, Bonnie Lyons, Ron Korstanje in GeroScience (2024)

  2. Article

    Open Access

    SEESAW: detecting isoform-level allelic imbalance accounting for inferential uncertainty

    Detecting allelic imbalance at the isoform level requires accounting for inferential uncertainty, caused by multi-map** of RNA-seq reads. Our proposed method, SEESAW, uses Salmon and Swish to offer analysis ...

    Euphy Y. Wu, Noor P. Singh, Kwangbom Choi, Mohsen Zakeri, Matthew Vincent in Genome Biology (2023)

  3. Article

    Open Access

    Author Correction: Genetic map** of microbial and host traits reveals production of immunomodulatory lipids by Akkermansia muciniphila in the murine gut

    Qijun Zhang, Vanessa Linke, Katherine A. Overmyer in Nature Microbiology (2023)

  4. Article

    Open Access

    Multi-omics analysis identifies drivers of protein phosphorylation

    Phosphorylation of proteins is a key step in the regulation of many cellular processes including activation of enzymes and signaling cascades. The abundance of a phosphorylated peptide (phosphopeptide) is dete...

    Tian Zhang, Gregory R. Keele, Isabela Gerdes Gyuricza, Matthew Vincent in Genome Biology (2023)

  5. Article

    Open Access

    Genetic map** of microbial and host traits reveals production of immunomodulatory lipids by Akkermansia muciniphila in the murine gut

    The molecular bases of how host genetic variation impacts the gut microbiome remain largely unknown. Here we used a genetically diverse mouse population and applied systems genetics strategies to identify inte...

    Qijun Zhang, Vanessa Linke, Katherine A. Overmyer in Nature Microbiology (2023)

  6. Article

    Open Access

    Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression

    Targeted proteomics enables hypothesis-driven research by measuring the cellular expression of protein cohorts related by function, disease, or class after perturbation. Here, we present a pathway-centric appr...

    Qing Yu, **nyue Liu, Mark P. Keller, Jose Navarrete-Perea in Nature Communications (2023)

  7. No Access

    Article

    A microbiome-dependent gut–brain pathway regulates motivation for exercise

    Exercise exerts a wide range of beneficial effects for healthy physiology1. However, the mechanisms regulating an individual’s motivation to engage in physical activity remain incompletely understood. An importan...

    Lenka Dohnalová, Patrick Lundgren, Jamie R. E. Carty, Nitsan Goldstein in Nature (2022)

  8. No Access

    Article

    A machine-vision-based frailty index for mice

    Heterogeneity in biological aging manifests itself in health status and mortality. Frailty indices (FIs) capture health status in humans and model organisms. To accelerate our understanding of biological aging...

    Leinani E. Hession, Gautam S. Sabnis, Gary A. Churchill, Vivek Kumar in Nature Aging (2022)

  9. Article

    Author Correction: Defining the consequences of genetic variation on a proteome-wide scale

    Joel M. Chick, Steven C. Munger, Petr Simecek, Edward L. Huttlin, Kwangbom Choi in Nature (2022)

  10. No Access

    Article

    The Jackson Laboratory Nathan Shock Center: impact of genetic diversity on aging

    Healthspan is a complex trait, influenced by many genes and environmental factors that accelerate or delay aging, reduce or increase disease risk, and extend or reduce lifespan. Thus, assessing the role of gen...

    Ron Korstanje, Luanne L. Peters, Laura L. Robinson, Stephen D. Krasinski in GeroScience (2021)

  11. Article

    Open Access

    INFIMA leverages multi-omics model organism data to identify effector genes of human GWAS variants

    Genome-wide association studies reveal many non-coding variants associated with complex traits. However, model organism studies largely remain as an untapped resource for unveiling the effector genes of non-co...

    Chenyang Dong, Shane P. Simonett, Sunyoung Shin, Donnie S. Stapleton in Genome Biology (2021)

  12. Article

    Open Access

    Publisher Correction: Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics

    An amendment to this paper has been published and can be accessed via the original article.

    Kwangbom Choi, Yang Chen, Daniel A. Skelly, Gary A. Churchill in Genome Biology (2020)

  13. No Access

    Article

    A large-scale genome–lipid association map guides lipid identification

    Despite the crucial roles of lipids in metabolism, we are still at the early stages of comprehensively annotating lipid species and their genetic basis. Mass spectrometry–based discovery lipidomics offers the ...

    Vanessa Linke, Katherine A. Overmyer, Ian J. Miller, Dain R. Brademan in Nature Metabolism (2020)

  14. Article

    Open Access

    Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics

    Single-cell RNA sequencing is a powerful tool for characterizing cellular heterogeneity in gene expression. However, high variability and a large number of zero counts present challenges for analysis and inter...

    Kwangbom Choi, Yang Chen, Daniel A. Skelly, Gary A. Churchill in Genome Biology (2020)

  15. Article

    Open Access

    A Bayesian mixture model for the analysis of allelic expression in single cells

    Allele-specific expression (ASE) at single-cell resolution is a critical tool for understanding the stochastic and dynamic features of gene expression. However, low read coverage and high biological variabilit...

    Kwangbom Choi, Narayanan Raghupathy, Gary A. Churchill in Nature Communications (2019)

  16. Article

    Correction: Corrigendum: Genetic identification of thiosulfate sulfurtransferase as an adipocyte-expressed antidiabetic target in mice selected for leanness

    Nat. Med. 22, 771–779 (2016); published online 6 June 2016; corrected after print 7 March 2018 In the version of this article initially published, the colors of the lines were switched in the graph that shows ...

    Nicholas M Morton, Jasmina Beltram, Roderick N Carter, Zoi Michailidou in Nature Medicine (2018)

  17. No Access

    Article

    Genetic identification of thiosulfate sulfurtransferase as an adipocyte-expressed antidiabetic target in mice selected for leanness

    Genetic analysis in mice selected for leanness has identified thiosulfate sulfurtransferase as a target for the treatment of diabetes.

    Nicholas M Morton, Jasmina Beltram, Roderick N Carter, Zoi Michailidou in Nature Medicine (2016)

  18. No Access

    Article

    Defining the consequences of genetic variation on a proteome-wide scale

    Genetic variation modulates protein expression through both transcriptional and post-transcriptional mechanisms. To characterize the consequences of natural genetic diversity on the proteome, here we combine a...

    Joel M. Chick, Steven C. Munger, Petr Simecek, Edward L. Huttlin, Kwangbom Choi in Nature (2016)

  19. Article

    Open Access

    Collaborative Cross and Diversity Outbred data resources in the Mouse Phenome Database

    The Mouse Phenome Database was originally conceived as a platform for the integration of phenotype data collected on a defined collection of 40 inbred mouse strains—the “phenome panel.” This model provided an ...

    Molly A. Bogue, Gary A. Churchill, Elissa J. Chesler in Mammalian Genome (2015)

  20. Article

    Open Access

    Genetic properties of the MAGIC maize population: a new platform for high definition QTL map** in Zea mays

    Maize (Zea mays) is a globally produced crop with broad genetic and phenotypic variation. New tools that improve our understanding of the genetic basis of quantitative traits are needed to guide predictive crop b...

    Matteo Dell’Acqua, Daniel M. Gatti, Giorgio Pea, Federica Cattonaro in Genome Biology (2015)

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