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Genomic approaches to understanding lung disease. Our lab approaches lung disease from a variety of angles, but one unifying theme is our use of comprehensive genome-wide gene-expression profiling (whether using microarray-based technology or now RNAseq) together with rigorous computational data analysis methods to discover unexpected distinctions between disease states that provide us not only with clues as to how disease develops, but also sensitive tools for detecting disease.
The physiologic response to tobacco smoke. As many of our research goals are aimed at improving the treatment of patients with smoking-related lung diseases, we are interested in understanding how the body responds to tobacco smoke, and using this to better understand how tobacco smoke contributes to disease. Using genomic approaches, we have identified smoking-related gene expression changes that occur throughout the respiratory tract and identified a subset that remain altered in people who have quit smoking. These irreversibly changed genes are especially interesting since disease risk remains elevated after smoking cessation. That many of the gene expression changes deep in the airway are also altered in cells that line the nose has led us to explore whether we can combine a simple nose test together with genome-wide approaches to answer basic questions such as: how physiologic responses to tobacco smoke vary amongst people who are exposed to different levels of tobacco smoke (or people who are only exposed to second-hand smoke), if differences in responses between individuals might contribute to differing levels of disease susceptibility, and if other inhaled pollutants cause similar differences in gene expression. This work is supported by grants from the NIEHS.
The physiologic response to tobacco smoke. As many of our research goals are aimed at improving the treatment of patients with smoking-related lung diseases, we are interested in understanding how the body responds to tobacco smoke, and using this to better understand how tobacco smoke contributes to disease. Using genomic approaches, we have identified smoking-related gene expression changes that occur throughout the respiratory tract and identified a subset that remain altered in people who have quit smoking. These irreversibly changed genes are especially interesting since disease risk remains elevated after smoking cessation. That many of the gene expression changes deep in the airway are also altered in cells that line the nose has led us to explore whether we can combine a simple nose test together with genome-wide approaches to answer basic questions such as: how physiologic responses to tobacco smoke vary amongst people who are exposed to different levels of tobacco smoke (or people who are only exposed to second-hand smoke), if differences in responses between individuals might contribute to differing levels of disease susceptibility, and if other inhaled pollutants cause similar differences in gene expression. This work is supported by grants from the NIEHS.
Research Interests
Papers共 356 篇Author StatisticsCo-AuthorSimilar Experts
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Boting Ning, Darren J Chiu, Roxana M Pfefferkorn, Yohana Kefella, Erin Kane, Valerie Reyes-Ortiz,Gang Liu,Sherry Zhang,Hanqiao Liu, Lila Sultan,Emily Green, Myrtha Constant,Avrum E Spira,Joshua D Campbell, Mary E Reid,Xaralabos Varelas, Eric J Burks,Marc E Lenburg,Sarah A Mazzilli,Jennifer E Beane
biorxiv(2025)
Cancer Researchno. 6_Supplement (2024): 6104-6104
Cancer biomarkers section A of Disease markers (2024)
Cancer Researchno. 6_Supplement (2024): 6097-6097
CANCER RESEARCHno. 3 (2024)
bioRxiv the preprint server for biology (2024)
AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE (2024)
openalex(2023)
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Author Statistics
#Papers: 354
#Citation: 12564
H-Index: 50
G-Index: 111
Sociability: 7
Diversity: 3
Activity: 42
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