Garvin, M. | Search bioRxiv

bioRxiv2024

Constitutive expression of CX3CR1-BAC-Cre introduces minimal off-target effects in microglia

CX3CR1-Cre mouse lines have produced important advancements in our understanding of microglial biology. Recent studies have demonstrated the adverse effects of tamoxifen-induced CX3CR1-Cre expression during development, which include changes in microglial density, phenotype, and DNA damage, as well as anxiety-like behavior. However, the unintended effects of constitutive CX3CR1-BAC-Cre expression remain unexplored. Here, we characterized the effects of CX3CR1-BAC-Cre expression on microglia in CX3CR1-BAC-Cre+/- and CX3CR1-BAC-Cre-/-male and female littermates during early postnatal development and adulthood in multiple brain regions. Additionally, we performed anxiety-like behavior tests to assess changes caused by Cre expression. We found that CX3CR1-BAC-Cre expression causes subtle region- and sex-specific changes in microglial density, volume, and morphology during development, but these changes normalized by adulthood in all brain regions except the hippocampus. No behavioral effects were found. Our findings suggest that the constitutive-Cre model might be less detrimental than the inducible model, and highlight the need for proper controls.

neuroscience↗

bioRxiv2020

Synchronized genetic activities in Alzheimer's brains revealed by heterogeneity-capturing network analysis

It is becoming increasingly evident that the efficacy of single-gene computational analyses for complex traits is nearly exhausted and future advances hinge on unraveling the intricate combinatorial interactions among multiple genes. However, the discovery of modules of genes working in concert to manifest a complex trait has been crippled by combinatorial complexity, genetic heterogeneity, and validation biases. We introduce Maestro, a novel network approach that employs a multifaceted correlation measure, which captures heterogeneity, and a rigorous validation method. Maestros utilization for Alzheimers disease (AD) reveals an expression pattern that has virtually zero probability of simultaneous expression by an individual, assuming independence. Yet this pattern is exhibited by 19.0% of AD cases and 7.3% of controls, establishing an unprecedented pattern of synchronized genetic activities in the human brain. This pattern is significantly associated with AD, with an odds ratio of 3.0. This study substantiates Maestros power for discovery of orchestrated genetic activities underlying complex traits. More generally, Maestro can be applied in diverse domains in which heterogeneity exists. HighlightsO_LISynchronized genetic activities associated with Alzheimers disease C_LIO_LINovel vector-based correlation measure that captures genetic heterogeneity C_LIO_LIEnhanced network model for revealing combinatorial genetic interactions C_LIO_LIPro-survival genetic activities associated with Alzheimers disease C_LIO_LIGeneral approach for revealing patterns in data subject to heterogeneity C_LI

bioinformatics↗