Project description:We examined the impact of chronic lung inflammation on the pulmonary transcriptional response to inhaled urban particles. Transcript levels were measured using high density microarrays in total RNA isolated from whole lungs of wildtype and TNF-α overexpressing mice exposed by inhalation to particulate matter and euthanized immediately or 24 h post-exposure. Experiment Overall Design: Transgenic SP-C/TNF-α mice and their wildtype littermates were exposed by inhalation to particulate matter (0, 42 mg/m3 EHC-93) for 4 h and euthanized immediately or 24 h post-exposure (n=5 per treatment per time point, 40 animals total). Agilent 22K oligonucleotide microarrays were used to examine transcript levels in whole lung RNA. Stratagene Universal Mouse RNA was used as a reference.
Project description:Purpose: Determine the mechanism of particulate matter-induced signaling in melanocytes. Method: Primary human epidermal melanocytes were treated with particulate matter (5 μg/cm2) and incubated for 24 h. Total RNA (1 ug) from melanocytes were extracted and subjected to library synthesis. Results: Particulate matter-treated melanocytes exhibited upregulation of ER stress, unfolded protein response, and melanogenesis-related molecules. Conclusion: Particulate matter-induced melanocyte signaling was well evaluated using RNA sequencing.
Project description:We performed single-cell RNA sequencing on CD45+ cells isolated from the lungs of C57BL/6 mice exposed to diesel exhaust particles via inhalation. The objective was to investigate which immune cells respond to particulate matter exposure.
Project description:Background: Diesel exhaust (DE) is the primary source of urban fine particulate matter, which has been associated with cardiovascular disease in epidemiological studies. These effects may be related to oxidative stress and systemic inflammation with resulting perturbation of vascular homeostasis. Peripheral leukocytes are involved in both inflammation and control of vascular homeostasis. Objectives: We conducted an exploratory study using microarray techniques to analyze whether global gene expression in peripheral blood mononuclear cells (PBMCs) can inform on potential mechanisms of effect of DE inhalation. Methods: In a double-blind, crossover, controlled exposure study, healthy adult volunteers were exposed in randomized order to filtered air (FA) and diluted DE in two-hour sessions. We isolated RNA (Trizol/Qiagen method) form PBMCs before, and two times after each exposure. RNA samples were arrayed using the Affymetrix® platform (GeneChip® Human Genome U133 Plus 2.0 Array). Results: Microarray analyses were conducted on five subjects with available RNA sample form exposures to FA and to the highest DE inhalation (200 µg/m³ of fine particulate matter). Following data normalization and statistical analysis, a total of 1290 out of 54,675 probe sets with significant evidence for differential expression (more than 1.5-fold up or down regulated with p < 0.05) were identified. These include genes involved in inflammatory response (e.g., IL8RA, TNFAIP6, FOS), oxidative stress (e.g., HMOX1, BAX, PRDX1,), and in biochemical pathways like mitogen-activated protein kinases (MAPK) and tight junction pathways. Conclusions: These data suggest that DE may exert time-dependent changes in gene expression in PBMCs in healthy individuals. Genes that may be affected by DE inhalation are involved in inflammatory and oxidative stress processes. Experiment Overall Design: We conducted a crossover, double-blind experiment, randomized to order of DE and filtered-air (FA) exposure with each participant exposed on four different days to each of four conditions: FA and DE calibrated to 50µg/m3 (DE50), 100µg/m3 (DE100), and 200µg/m3 (DE200) of fine particulate matter (PM2.5- particles with aerodynamic diameter 2.5µm or less). Exposure sessions were conducted at least 2 weeks apart.
Project description:New respiratory diseases in personnel deployed to Southwest Asia after September 11th raise major concerns about the impacts of airborne particulate matter. Although regulations exist, the knowledge about how particulates influence disease states is limited, precluding the appropriate recognition, prevention and treatment of deployment-related lung diseases. We applied two genomics assays, Precision Run-on sequencing (PRO-seq) and the assay for transposase accessible chromatin with sequencing (ATAC-seq), to characterize the small airway epithelial cell response to Afghan desert particulate matter (APM).
Project description:New respiratory diseases in personnel deployed to Southwest Asia after September 11th raise major concerns about the impacts of airborne particulate matter. Although regulations exist, the knowledge about how particulates influence disease states is limited, precluding the appropriate recognition, prevention and treatment of deployment-related lung diseases. We applied two genomics assays, Precision Run-on sequencing (PRO-seq) and the assay for transposase accessible chromatin with sequencing (ATAC-seq), to characterize the small airway epithelial cell response to Afghan desert particulate matter (APM).
Project description:We examined the impact of chronic lung inflammation on the pulmonary transcriptional response to inhaled urban particles. Transcript levels were measured using high density microarrays in total RNA isolated from whole lungs of wildtype and TNF-α overexpressing mice exposed by inhalation to particulate matter and euthanized immediately or 24 h post-exposure. Keywords: Toxicology, disease state analysis, stress response
Project description:To seek whether seasonal variation in environmental particulate matter composition affected the global gene response patterns in cultured human cells representing pulmonary and systemic vascular targets. We used microarrays to detail the global program of gene expression affected on different cells type by different seasonal collections of Ambient Particulate Matter.
