Biology subjects

DeCamp, L.

Publications and source records attributed to DeCamp, L..

3 recordsLinked to original sources

bioRxiv2026

Midbrain Tet1 dosage defines inter-individual binge-eating susceptibility

Binge-eating disorder (BED) is the most common eating disorder worldwide and carries life-altering comorbidities. While genetic and environmental risk factors have been identified, the mechanisms that determine inter-individual susceptibility to BED remain largely unknown. Here, we demonstrate that developmental dosage of the DNA hydroxymethylase Tet1 defines stable inter-individual differences in binge-eating susceptibility. In mice, midbrain dopaminergic neurons of the ventral tegmental area (VTADA) are essential for the induction of addictive binge-eating behavior, express high levels of Tet1, and undergo rapid and widespread DNA hydroxymethylation remodeling upon experimental binge eating. Strikingly, Tet1 haploinsufficiency creates pronounced inter-individual variation in binge-eating susceptibility even among genetically identical mice, which we trace to reduced connectivity between the prelimbic medial prefrontal cortex (mPFCPL) and the VTA. Chemogenetic inhibition of mPFCPL[->]VTA projections reduces binge-eating susceptibility, whereas EGR1-guided re-activation of TET1 in VTA dopaminergic neurons restores susceptibility, supporting a causal role for this axis. Importantly, TET1 promoter methylation in patients associates with binge-eating behavior and reward-circuit function, suggesting conservation of this regulatory network in humans. Collectively, these findings identify Tet1 dosage as a novel regulator of binge-eating susceptibility and provide a mechanistic basis for how inter-individual differences in behavior are established.

neuroscience↗

bioRxiv2023

The histone lysine demethylase KDM5C fine-tunes gene expression to regulate dendritic cell heterogeneity and function

The functional and phenotypic heterogeneity of dendritic cells (DCs) plays a crucial role in facilitating the development of diverse immune responses that are essential for providing host protection. We found that KDM5C, a histone lysine demethylase of the KDM5 family regulates several aspects of conventional DC (cDC) and plasmacytoid DC (pDC) population heterogeneity and function. Using mice conditionally deficient in KDM5C in DCs, we found that loss of KDM5C results in an increase in Ly6C- pDCs compared to Ly6C+ pDCs. We found that Ly6C- pDCs, compared to Ly6C+ pDCs, have increased expression of cell cycle genes, decreased expression of activation markers and limited ability to produce type I interferon (IFN). Both KDM5C-deficient Ly6C- and Ly6C+ pDCs have increased expression of activation markers, however, are dysfunctional and have limited ability to produce type I IFN. For conventional cDCs, KDM5C deficiency resulted in increased proportions of cDC2Bs (CLEC12A+, ESAM-) and cDC1s, which was partly dependent on type I IFN and pDCs. Using ATAC-seq, RNA-seq, and CUT&RUN for histone marks, we found that KDM5C regulates epigenetic programming of cDC1. In the absence of KDM5C, we found an increased expression of inflammatory markers, consistent with our previous results in bone marrow-derived DCs. However, we also found a decrease in mitochondrial metabolism genes and altered expression of cDC lineage-specific genes. In response to Listeria infection, KDM5C-conditionally deficient mice mounted reduced CD8+ T cell responses, indicating that KDM5C expression in DCs is necessary for their function. Thus, KDM5C is a key regulator of DC heterogeneity by modulating the balance of DC subsets and serves as a critical driver of the epigenetic programming and functional properties of DCs.

immunology↗

bioRxiv2022

Combined single-sample metabolomics and RNAseq reveals a hepatic pyrimidine metabolic response to acute viral infection

ObjectiveMetabolomics and RNA sequencing (RNAseq) each provide powerful readouts of phenotype, and integration of these data can provide information greater than the sum of their parts. The ability to conduct such analysis on a single sample has many practical advantages, especially when dealing with rare or difficult-to-obtain samples. While methods exist to isolate multiple biomolecular subclasses from the same sample, in-depth analysis of the suitability of these approaches for multi- omics readouts is lacking. MethodsMice were injected with lymphocytic choriomeningitis virus (LCMV) or vehicle (Veh) control and liver tissue was harvested 2.5-days later. RNA was isolated from aliquots of pulverized liver tissue either following metabolite extraction using 80% methanol (MetRNA) or directly from frozen tissue (RNA). RNA sequencing data was evaluated by differential expression analysis via edgeR and dispersion using Ginis mean differences. Differential metabolite abundance was assessed using LIMMA. Pathway enrichment analysis was conducted on metabolomics and RNAseq data using MetaboAnalysts joint-integration tools. ResultsPrior metabolite extraction had no deleterious effects on quality or quantity of isolated RNA. RNA and MetRNA generated from the same sample clustered together by principal component analysis, indicating that inter-individual differences were the largest source of variance. Of the 2,169 genes that were differentially expressed between LCMV and Veh, the vast majority (n=1,848) were shared between extraction method, with the remainder evenly divided between RNA (n=165) and MetRNA (n=156). These differentially expressed genes unique to extraction method were attributed to randomness around the false discovery rate (FDR) = 0.05 cutoff and stochastic changes in variance estimation. Gini analysis further revealed that extraction method had no effect on the dispersion of detected transcripts across the entire dataset. To demonstrate the power of multi-omics integration on interrogated metabolic phenotypes, we next performed integrated pathway enrichment analysis on RNAseq data and metabolomics data. Our analysis revealed pyrimidine metabolism as the most impacted pathway by LCMV infection. Plotting up- and down-regulated genes and metabolites on the Kyoto Encyclopedia of Genes and Genomes (KEGG) pyrimidine pathway exposed a pattern enzymatic degradation of pyrimidine nucleotides to generate the nucleobase uracil. Further, uracil was among the most differentially abundant metabolite in serum of LCMV infected mice, suggesting a novel mechanism of hepatic uracil export in acute infection response. ConclusionsWe demonstrate that prior metabolite extraction does not have a deleterious effect on RNAseq quality, which enables investigators to confidently perform metabolomics and RNAseq on the same sample. Implementation of this approach revealed a novel involvement of the hepatic pyrimidine metabolism during acute viral infection.

molecular biology↗