Evidence map›Paper›PMID 41957700›Full record

ArticleBMC genomics2026

New approaches to discovering epigenetic rules of homeostasis in diverse mammal species.

Jorge Gonzalez, Diane P Genereux, Kristin Crouse, Bradley Frishman, Allyson G Hindle, Elinor Karlsson, Carla B Madelaire, Lucas Moreira, Valery Forbes

Abstract read
In one paragraph

Article in BMC genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jorge GonzalezFlorida Atlantic University, Boca Raton, USA. gonzj211@erau.edu.
Diane P GenereuxBroad Institute, Cambridge, USA.
Kristin CrouseUniversity of Minnesota, Minneapolis, USA.
Bradley FrishmanUniversity of Florida, Gainesville, USA.
Allyson G HindleUniversity of Nevada, Las Vegas, USA.
Elinor KarlssonBroad Institute, Cambridge, USA.
Carla B MadelaireSan Diego Zoo Wildlife Alliance, San Diego, USA.
Lucas MoreiraBroad Institute, Cambridge, USA.
Valery ForbesFlorida Atlantic University, Boca Raton, USA.

Funding

NSF 2022007NSF 2022012NSF 2022046NSF Understanding the Rules of Life Collaborative Research Grant 022050
6 · The paper itself

Abstract

backgroundWhile the cells of some mammals, such as humans, maintain their internal temperature within tightly controlled ranges, the cells of others, such as dromedary camels, experience wide ranges of temperature variation. In order to understand these differences, it is critical to identify differentially expressed genes (DEGs) and their interactions; however, the data available are often insufficient to obtain statistically significant results.

resultsWe develop an explanatory model to understand the mechanisms of response of mammalian species to environmental perturbation on the basis of empirical gene expression data. Our approach is motivated by the novel idea that approximately preserved or reduced inter-individual variability of expression levels upon environmental change is an indicator that a given gene contributes to a homeostasis-preserving mechanism for the species. To identify such genes, we use a simple non-statistical criterion that is suitable even when the number of replicates is limited. We then identify four extreme subgroups of the DEGs, and from these construct an intuitive neural network architecture that best interpolates the data and describes the principal response rules of the considered species. Finally, we propose measures of the robustness of homeostasis (well-being) from these networks based on perturbation analysis and entropy computations. The data used to develop the model were collected from homogeneous cell cultures of skin fibroblasts.

conclusionsEven with data available for just a few individuals, our model identifies extreme response sets of genes, using inter-individual variability to provide a faithful representation of the response of the species to environmental perturbations. Sets of genes identified as relevant in individual species are useful for comparing responses across species. All the measures of cellular well-being introduced in this work rank camels higher than humans for both the 32° and 41° treatments.

Indexed as

Epigenesis, GeneticHomeostasisMammalsAnimalsGene Expression ProfilingHumansSpecies SpecificityDifferential expressionInter-individual variability of genesStress response model

Identifiers

PMID41957700
PMCPMC13181949

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.