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Biology subjects

David, G.

Publications and source records attributed to David, G..

3 recordsLinked to original sources

The RNA-binding proteins CELF1 and ELAVL1 cooperatively control alternative splicing

ELAVL1 and CELF1 are RNA-binding proteins that are involved in alternative splicing control. To explore their functional relationship, we looked for mRNAs that are differentially spliced following the depletion of CELF1, ELAVL1, or both. We found that these proteins control the usage of their target exons in the same direction. Double depletion has a greater effect than individual depletions, showing that CELF1 and ELAVL1 exert additive control. To confirm these results, we carried out RT-PCR on the alternative cassette exons of several mRNAs, including CD44, WNK1, PHACTR2, MICAL3, SPTBN1, and PPP3CB. Using FRET, we found that CELF1 and ELAVL1 directly interact in cell nuclei. We demonstrated that the combined levels of CELF1 and ELAVL1 are a valuable biomarker in several cancers, even when their individual levels may yield very limited information. CD44 alternative splicing probably accounts in part for the effects of CELF1 and ELAVL1 levels on patient survival. These data point to strong functional interactions between CELF1 and ELAVL1 in the control of mRNA isoform production, resulting in significant impacts on human pathology.

molecular biology

Phosphorylation of LXRα impacts atherosclerosis regression by modulating monocyte/macrophage trafficking

LXR activation in macrophages enhances regression of atherosclerotic plaques in mice by regulating genes crucial for cholesterol efflux, cell motility and inflammation. Diabetes, however, impairs plaque regression in mice. LXR is phosphorylated at serine 198 (pS198), which affects the expression of genes controlling inflammation, lipid metabolism and cell movement. We hypothesize that LXR function is affected by hyperglycemia through changes in LXR pS198. Indeed, macrophages cultured in diabetes relevant high glucose versus normal glucose display alterations in LXR-dependent gene expression and increased LXR pS198. We therefore examined the consequence of disrupting LXR phosphorylation (S196A in mouse LXR) during regression of atherosclerosis in normal and diabetic mice. We find that phosphorylation deficient LXR S196A reduces macrophage retention in plaques in diabetes, which is predicted to be anti-atherogenic and enhance plaque regression. However, this favorable effect on regression is masked by increased monocyte infiltration in the plaque attributed to leukocytosis in LXR S196A mice. RNA-seq of plaque macrophages from diabetic S196A mice shows increased expression of chemotaxis and decreased expression of cell adhesion genes, consistent with reduced macrophage retention by LXR S196A. Thus, the non-phosphorylated form of LXR precludes macrophage retention in the plaque. Our study provides the first evidence for a physiological role of LXR phosphorylation in modulating atherosclerosis regression. Compounds that prevent LXR phosphorylation or ligands that induce the conformation of non-phosphorylated LXR may selectively enhance macrophage emigration from atherosclerotic plaques.

genetics

Multi-platform discovery of haplotype-resolved structural variation in human genomes

The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, and strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three human parent-child trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs ([&ge;]50 bp) per human genome. We also discover 156 inversions per genome--most of which previously escaped detection. Fifty-eight of the inversions we discovered intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The method and the dataset serve as a gold standard for the scientific community and we make specific recommendations for maximizing structural variation sensitivity for future large-scale genome sequencing studies.

genomics