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Full-Text Articles in Life Sciences
A Genome-Wide Association Study Discovers 46 Loci Of The Human Metabolome In The Hispanic Community Health Study/Study Of Latinos, Elena V Feofanova, Han Chen, Yulin Dai, Peilin Jia, Megan L Grove, Alanna C Morrison, Qibin Qi, Martha Daviglus, Jianwen Cai, Kari E North, Cathy C Laurie, Robert C Kaplan, Eric Boerwinkle, Bing Yu
A Genome-Wide Association Study Discovers 46 Loci Of The Human Metabolome In The Hispanic Community Health Study/Study Of Latinos, Elena V Feofanova, Han Chen, Yulin Dai, Peilin Jia, Megan L Grove, Alanna C Morrison, Qibin Qi, Martha Daviglus, Jianwen Cai, Kari E North, Cathy C Laurie, Robert C Kaplan, Eric Boerwinkle, Bing Yu
Student and Faculty Publications
Variation in levels of the human metabolome reflect changes in homeostasis, providing a window into health and disease. The genetic impact on circulating metabolites in Hispanics, a population with high cardiometabolic disease burden, is largely unknown. We conducted genome-wide association analyses on 640 circulating metabolites in 3,926 Hispanic Community Health Study/Study of Latinos participants. The estimated heritability for 640 metabolites ranged between 0%-54% with a median at 2.5%. We discovered 46 variant-metabolite pairs (p value < 1.2 × 10
Health And Disease Markers Correlate With Gut Microbiome Composition Across Thousands Of People., Ohad Manor, Chengzhen L Dai, Sergey A Kornilov, Brett Smith, Nathan D Price, Jennifer C Lovejoy, Sean M Gibbons, Andrew T Magis
Health And Disease Markers Correlate With Gut Microbiome Composition Across Thousands Of People., Ohad Manor, Chengzhen L Dai, Sergey A Kornilov, Brett Smith, Nathan D Price, Jennifer C Lovejoy, Sean M Gibbons, Andrew T Magis
Articles, Abstracts, and Reports
Variation in the human gut microbiome can reflect host lifestyle and behaviors and influence disease biomarker levels in the blood. Understanding the relationships between gut microbes and host phenotypes are critical for understanding wellness and disease. Here, we examine associations between the gut microbiota and ~150 host phenotypic features across ~3,400 individuals. We identify major axes of taxonomic variance in the gut and a putative diversity maximum along the Firmicutes-to-Bacteroidetes axis. Our analyses reveal both known and unknown associations between microbiome composition and host clinical markers and lifestyle factors, including host-microbe associations that are composition-specific. These results suggest potential opportunities …
Raman-Guided Subcellular Pharmaco-Metabolomics For Metastatic Melanoma Cells., Jiajun Du, Yapeng Su, Chenxi Qian, Dan Yuan, Kun Miao, Dongkwan Lee, Alphonsus H C Ng, Reto S Wijker, Antoni Ribas, Raphael D Levine, James R Heath, Lu Wei
Raman-Guided Subcellular Pharmaco-Metabolomics For Metastatic Melanoma Cells., Jiajun Du, Yapeng Su, Chenxi Qian, Dan Yuan, Kun Miao, Dongkwan Lee, Alphonsus H C Ng, Reto S Wijker, Antoni Ribas, Raphael D Levine, James R Heath, Lu Wei
Articles, Abstracts, and Reports
Non-invasively probing metabolites within single live cells is highly desired but challenging. Here we utilize Raman spectro-microscopy for spatial mapping of metabolites within single cells, with the specific goal of identifying druggable metabolic susceptibilities from a series of patient-derived melanoma cell lines. Each cell line represents a different characteristic level of cancer cell de-differentiation. First, with Raman spectroscopy, followed by stimulated Raman scattering (SRS) microscopy and transcriptomics analysis, we identify the fatty acid synthesis pathway as a druggable susceptibility for differentiated melanocytic cells. We then utilize hyperspectral-SRS imaging of intracellular lipid droplets to identify a previously unknown susceptibility of lipid …
Multi-Omic Single-Cell Snapshots Reveal Multiple Independent Trajectories To Drug Tolerance In A Melanoma Cell Line., Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath
Multi-Omic Single-Cell Snapshots Reveal Multiple Independent Trajectories To Drug Tolerance In A Melanoma Cell Line., Yapeng Su, Melissa E Ko, Hanjun Cheng, Ronghui Zhu, Min Xue, Jessica Wang, Jihoon W Lee, Luke Frankiw, Alexander Xu, Stephanie Wong, Lidia Robert, Kaitlyn Takata, Dan Yuan, Yue Lu, Sui Huang, Antoni Ribas, Raphael Levine, Garry P Nolan, Wei Wei, Sylvia K Plevritis, Guideng Li, David Baltimore, James R Heath
Articles, Abstracts, and Reports
The determination of individual cell trajectories through a high-dimensional cell-state space is an outstanding challenge for understanding biological changes ranging from cellular differentiation to epigenetic responses of diseased cells upon drugging. We integrate experiments and theory to determine the trajectories that single BRAFV600E mutant melanoma cancer cells take between drug-naive and drug-tolerant states. Although single-cell omics tools can yield snapshots of the cell-state landscape, the determination of individual cell trajectories through that space can be confounded by stochastic cell-state switching. We assayed for a panel of signaling, phenotypic, and metabolic regulators at points across 5 days of drug treatment to …
Evidence For Gene-Smoking Interactions For Hearing Loss And Deafness In Japanese American Families, Jia Y Wan, Christina Cataby, Andrew Liem, Emily Jeffrey, Trina M Norden-Krichmar, Deborah Goodman, Stephanie A Santorico, Karen L Edwards
Evidence For Gene-Smoking Interactions For Hearing Loss And Deafness In Japanese American Families, Jia Y Wan, Christina Cataby, Andrew Liem, Emily Jeffrey, Trina M Norden-Krichmar, Deborah Goodman, Stephanie A Santorico, Karen L Edwards
Student and Faculty Publications
BACKGROUND: This study investigated the relationship between smoking and hearing loss and deafness (HLD) and whether the relationship is modified by genetic variation. Data for these analyses was from the subset of Japanese American families collected as part of the American Diabetes Association Genetics of Non-insulin Dependent Diabetes Mellitus study. Logistic regression with generalized estimating equations assessed the relationship between HLD and smoking. Nonparametric linkage analysis identified genetic regions harboring HLD susceptibility genes and ordered subset analysis was used to identify regions showing evidence for gene-smoking interactions. Genetic variants within these candidate regions were then each tested for interaction with …