| 2. |
- Singh, Umashankar, et al.
(author)
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Characterization of a novel obesity phenotype caused by interspecific hybridization.
- 2008
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In: Archives of Physiology and Biochemistry. - : Informa UK Limited. - 1381-3455 .- 1744-4160. ; 114:5, s. 301-330
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Journal article (peer-reviewed)abstract
- Interspecific hybridization in mammals causes hybrid dysgenesis effects, such as sterility and abnormal placentation. Here, we describe a novel obesity syndrome caused by interspecific hybridization in the genus Mus and show that this obesity, appearing sporadically in F1 littermates derived from inbred strains, has an epigenetic basis. Mus hybrids from various strains of M. musculus and M. spretus were generated and the sporadic obese phenotype was confirmed through assessment of physiological and biochemical parameters in littermates. To understand the underlying mechanisms, large-scale and candidate gene expression assays, global DNA methylation assays and allelic expression analysis were performed. Studies showed that obese hybrids are similar to other known models of obesity. While increased axial growth indicated a defect in POMC pathway, comparison of global gene expression patterns in brain of obese F1 and obese Pomc mutant mice showed little similarity. In F1 obese mice many genes involved in the maintenance of epigenetic states, as well as several imprinted genes, were differentially expressed. Global DNA methylation analysis in brain showed that increased methylation levels were associated with obesity. The imprinted gene Gnasxl, known to be important in lipid homeostasis, was found over expressed in the obese hybrids. Allelic expression and methylation analysis of Gnasxl showed that alterations of epigenetic marks underlying F1 obesity are probably many and multi-factorial. CONCLUSIONS: This model of obesity, which is both spontaneous and epigenetic, may be a useful tool to address the epigenetic aspects of clinical obesity.
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| 3. |
- Vazquez, Sara E., et al.
(author)
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Autoantibody discovery across monogenic, acquired, and COVID-19-associated autoimmunity with scalable PhIP-seq
- 2022
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In: eLIFE. - : eLife Sciences Publications Ltd. - 2050-084X. ; 11
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Journal article (peer-reviewed)abstract
- Phage immunoprecipitation sequencing (PhIP-seq) allows for unbiased, proteome-wide autoantibody discovery across a variety of disease settings, with identification of disease-specific autoantigens providing new insight into previously poorly understood forms of immune dysregulation. Despite several successful implementations of PhIP-seq for autoantigen discovery, including our previous work (Vazquez et al., 2020), current protocols are inherently difficult to scale to accommodate large cohorts of cases and importantly, healthy controls. Here, we develop and validate a high throughput extension of PhIP-seq in various etiologies of autoimmune and inflammatory diseases, including APS1, IPEX, RAG1/2 deficiency, Kawasaki disease (KD), multisystem inflammatory syndrome in children (MIS-C), and finally, mild and severe forms of COVID-19. We demonstrate that these scaled datasets enable machine-learning approaches that result in robust prediction of disease status, as well as the ability to detect both known and novel autoantigens, such as prodynorphin (PDYN) in APS1 patients, and intestinally expressed proteins BEST4 and BTNL8 in IPEX patients. Remarkably, BEST4 antibodies were also found in two patients with RAG1/2 deficiency, one of whom had very early onset IBD. Scaled PhIP-seq examination of both MIS-C and KD demonstrated rare, overlapping antigens, including CGNL1, as well as several strongly enriched putative pneumonia-associated antigens in severe COVID-19, including the endosomal protein EEA1. Together, scaled PhIP-seq provides a valuable tool for broadly assessing both rare and common autoantigen overlap between autoimmune diseases of varying origins and etiologies.
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