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1.
Nature ; 619(7970): 572-584, 2023 Jul.
Article in English | MEDLINE | ID: mdl-37468586

ABSTRACT

The intestine is a complex organ that promotes digestion, extracts nutrients, participates in immune surveillance, maintains critical symbiotic relationships with microbiota and affects overall health1. The intesting has a length of over nine metres, along which there are differences in structure and function2. The localization of individual cell types, cell type development trajectories and detailed cell transcriptional programs probably drive these differences in function. Here, to better understand these differences, we evaluated the organization of single cells using multiplexed imaging and single-nucleus RNA and open chromatin assays across eight different intestinal sites from nine donors. Through systematic analyses, we find cell compositions that differ substantially across regions of the intestine and demonstrate the complexity of epithelial subtypes, and find that the same cell types are organized into distinct neighbourhoods and communities, highlighting distinct immunological niches that are present in the intestine. We also map gene regulatory differences in these cells that are suggestive of a regulatory differentiation cascade, and associate intestinal disease heritability with specific cell types. These results describe the complexity of the cell composition, regulation and organization for this organ, and serve as an important reference map for understanding human biology and disease.


Subject(s)
Intestines , Single-Cell Analysis , Humans , Cell Differentiation/genetics , Chromatin/genetics , Epithelial Cells/cytology , Epithelial Cells/metabolism , Gene Expression Regulation , Intestinal Mucosa/cytology , Intestines/cytology , Intestines/immunology , Single-Cell Gene Expression Analysis
2.
Metabolism ; 110: 154292, 2020 09.
Article in English | MEDLINE | ID: mdl-32553738

ABSTRACT

BACKGROUND: Birthweight reflects in utero exposures and later health evolution. Despite existing studies employing high-dimensional molecular measurements, the understanding of underlying mechanisms of birthweight remains limited. METHODS: To investigate the systems biology of birthweight, we cross-sectionally integrated the methylome, the transcriptome, the metabolome and a set of inflammatory proteins measured in cord blood samples, collected from four birth-cohorts (n = 489). We focused on two sets of 68 metabolites and 903 CpGs previously related to birthweight and investigated the correlation structures existing between these two sets and all other omic features via bipartite Pearson correlations. RESULTS: This dataset revealed that the set of metabolome and methylome signatures of birthweight have seven signals in common, including three metabolites [PC(34:2), plasmalogen PC(36:4)/PC(O-36:5), and a compound with m/z of 781.0545], two CpGs (on the DHCR24 and SC4MOL gene), and two proteins (periostin and CCL22). CCL22, a macrophage-derived chemokine has not been previously identified in relation to birthweight. Since the results of the omics integration indicated the central role of cholesterol metabolism, we explored the association of cholesterol levels in cord blood with birthweight in the ENVIRONAGE cohort (n = 1097), finding that higher birthweight was associated with increased high-density lipoprotein cholesterol and that high-density lipoprotein cholesterol was lower in small versus large for gestational age newborns. CONCLUSIONS: Our data suggests that an integration of different omic-layers in addition to single omics studies is a useful approach to generate new hypotheses regarding biological mechanisms. CCL22 and cholesterol metabolism in cord blood play a mechanistic role in birthweight.


Subject(s)
Birth Weight , Cholesterol/metabolism , Fetal Blood/chemistry , Chemokine CCL22/metabolism , Cross-Sectional Studies , Female , Humans , Infant, Newborn , Male , Metabolome , Methylation
3.
Sci Rep ; 7: 42870, 2017 02 22.
Article in English | MEDLINE | ID: mdl-28225026

ABSTRACT

We recently reported that differential gene expression and DNA methylation profiles in blood leukocytes of apparently healthy smokers predicts with remarkable efficiency diseases and conditions known to be causally associated with smoking, suggesting that blood-based omic profiling of human populations may be useful for linking environmental exposures to potential health effects. Here we report on the sex-specific effects of tobacco smoking on transcriptomic and epigenetic features derived from genome-wide profiling in white blood cells, identifying 26 expression probes and 92 CpG sites, almost all of which are affected only in female smokers. Strikingly, these features relate to numerous genes with a key role in the pathogenesis of cardiovascular disease, especially thrombin signaling, including the thrombin receptors on platelets F2R (coagulation factor II (thrombin) receptor; PAR1) and GP5 (glycoprotein 5), as well as HMOX1 (haem oxygenase 1) and BCL2L1 (BCL2-like 1) which are involved in protection against oxidative stress and apoptosis, respectively. These results are in concordance with epidemiological evidence of higher female susceptibility to tobacco-induced cardiovascular disease and underline the potential of blood-based omic profiling in hazard and risk assessment.


Subject(s)
Cardiovascular Diseases/genetics , Epigenomics/methods , Gene Expression Profiling/methods , Tobacco Smoke Pollution/adverse effects , Adult , Aged , Cardiovascular Diseases/blood , Cardiovascular Diseases/chemically induced , CpG Islands , DNA Methylation , Epigenesis, Genetic , Female , Gene Expression Regulation/drug effects , Gene Regulatory Networks/drug effects , Humans , Male , Middle Aged , Sex Factors
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