Whole transcriptomics dose response data is collected and storedthrough public facing Gene Expression Omnibus database. Raw collected viability/cytotoxicity data for each chemical are collected and presented on separate spreadsheets. Portions of this dataset are inaccessible because: The transcriptomics full data file is too large to be uploaded alone onto ScienceHub, impeding ease of access. They can be accessed through the following means: Raw and processed transcriptomics data is available through Gene Expression Omnibus (GEO, https://www.ncbi.nlm.nih.gov/geo/) under accession GSE199794. Format: The full transcriptomics data set for all chemical conditions tested. This dataset is associated with the following publication: Speen, A., J. Murray, T. Krantz, D. Davies, P. Evansky, J. Harrill, L. Everett, J. Bundy, L. Dailey, W. Zander, E. Carlsten, M. Monsees, J. Hill, J. Zavala, and M. Higuchi. Benchmark Dose Modeling Approaches for Volatile Organic Chemicals using a Novel Air-Liquid Interface In Vitro Exposure System. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 188(1): 88-107, (2022).

volatile organic compound concentrations. This dataset is associated with the following publication: Breen, M., V. Isakov, S. Prince, K. McGuinness, P. Egeghy, B. Stephens, S. Arunachalam, D. Stout, R. Walker, L.M. Alston, A. Rooney, K. Taylor, and T. Buckley. Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds. Sensors. MDPI AG, Basel, SWITZERLAND, 21(16): 5659, (2021).

volatile organic compound concentrations. This dataset is associated with the following publication: Breen, M., V. Isakov, S. Prince, K. McGuinness, P. Egeghy, B. Stephens, S. Arunachalam, D. Stout, R. Walker, L.M. Alston, A. Rooney, K. Taylor, and T. Buckley. Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds. Sensors. MDPI AG, Basel, SWITZERLAND, 21(16): 5659, (2021).

Distribution of doses of a volatile organic compound from inhalation of one consumer product, other near -field sources, far-field sources, and aggregate (total) exposure. In this instance, far-field scenarios account for several orders of magnitude of less of the predicted dose compared to near-field scenarios. This dataset is associated with the following publication: Vallero, D. Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus. Sustainability. MDPI AG, Basel, SWITZERLAND, 8(12): 1216, (2016).

Distribution of doses of a volatile organic compound from inhalation of one consumer product, other near -field sources, far-field sources, and aggregate (total) exposure. In this instance, far-field scenarios account for several orders of magnitude of less of the predicted dose compared to near-field scenarios. This dataset is associated with the following publication: Vallero, D. Air Pollution Monitoring Changes to Accompany the Transition from a Control to a Systems Focus. Sustainability. MDPI AG, Basel, SWITZERLAND, 8(12): 1216, (2016).

This investigation was broken down into three interrelated steps: data collection, model building, and model evaluation. R software (v. 3.5.1) with the httk package (v. 1.9) was used for data organization, analysis, and visualization. All models and data associated with this manuscript are available in httk vX. This dataset is associated with the following publication: Linakis, M., R. Sayre, R. Pearce, M.A. Sfeir, N. Sipes, H. Pangburn, J. Gearhart, and J. Wambaugh. Development and Evaluation of a High Throughput Inhalation Model for Organic Chemicals. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 30(5): 866-877, (2020).

This investigation was broken down into three interrelated steps: data collection, model building, and model evaluation. R software (v. 3.5.1) with the httk package (v. 1.9) was used for data organization, analysis, and visualization. All models and data associated with this manuscript are available in httk vX. This dataset is associated with the following publication: Linakis, M., R. Sayre, R. Pearce, M.A. Sfeir, N. Sipes, H. Pangburn, J. Gearhart, and J. Wambaugh. Development and Evaluation of a High Throughput Inhalation Model for Organic Chemicals. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 30(5): 866-877, (2020).

We developed a cell culture exposure system (CCES) to expose cells at the air-liquid interface (ALI) to volatile chemicals. We characterized the CCES by exposing indigo dye-impregnated filters inside each culture well to 125 ppb ozone (O3) for 1 h at flow rates of 5 and 25 mL/min/well; the reaction of O3 with an indigo dye produces a fluorescence product. We observed a 5-fold increase in fluorescence at 25 mL/min/well, suggesting higher flows were more effective. We then exposed primary human bronchial lung epithelial cells (HBECs) to 0.3 ppm acrolein for 2 h at 3, 5 and 25 mL/min/well and compared our results against well-established Human Studies Facility in vitro exposure chambers (HSF Chambers) at the U.S. EPA. We measured lactate dehydrogenase (LDH) release, and transcript changes of heme oxygenase-1 (HMOX1) and interleukin-8 (IL8) at 0, 1, and 24 h post-exposure. Comparing responses from the HSF Chamber to the CCES, differences were only observed at 1 h post-exposure for HMOX1. Here, the HSF Chamber produced a ~6-fold increase in HMOX1 while the CCES at 3 and 5 mL/min/well produced a ~1.7-fold increase. Operating the CCES at 25 mL/min/well produced a ~4.5-fold increase; slightly lower than the HSF Chamber. Our results suggest that higher flow rates in the CCES were more effective at delivering the gas to the cells, and this was further validated by our comparison against a well-established in vitro exposure system. Further testing is required to explore the sensitivity of the CCES with other chemicals. This dataset is associated with the following publication: Zavala-Mendez, J., A. Ledbetter, D.S. Morgan, L. Dailey, E. Puckett, S. McCullough, and M. Higuchi. A New Cell Culture Exposure System (CCES) for Studying the Toxicity of Volatile Chemicals at the Air-Liquid Interface. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(4): 169-177, (2018).

We developed a cell culture exposure system (CCES) to expose cells at the air-liquid interface (ALI) to volatile chemicals. We characterized the CCES by exposing indigo dye-impregnated filters inside each culture well to 125 ppb ozone (O3) for 1 h at flow rates of 5 and 25 mL/min/well; the reaction of O3 with an indigo dye produces a fluorescence product. We observed a 5-fold increase in fluorescence at 25 mL/min/well, suggesting higher flows were more effective. We then exposed primary human bronchial lung epithelial cells (HBECs) to 0.3 ppm acrolein for 2 h at 3, 5 and 25 mL/min/well and compared our results against well-established Human Studies Facility in vitro exposure chambers (HSF Chambers) at the U.S. EPA. We measured lactate dehydrogenase (LDH) release, and transcript changes of heme oxygenase-1 (HMOX1) and interleukin-8 (IL8) at 0, 1, and 24 h post-exposure. Comparing responses from the HSF Chamber to the CCES, differences were only observed at 1 h post-exposure for HMOX1. Here, the HSF Chamber produced a ~6-fold increase in HMOX1 while the CCES at 3 and 5 mL/min/well produced a ~1.7-fold increase. Operating the CCES at 25 mL/min/well produced a ~4.5-fold increase; slightly lower than the HSF Chamber. Our results suggest that higher flow rates in the CCES were more effective at delivering the gas to the cells, and this was further validated by our comparison against a well-established in vitro exposure system. Further testing is required to explore the sensitivity of the CCES with other chemicals. This dataset is associated with the following publication: Zavala-Mendez, J., A. Ledbetter, D.S. Morgan, L. Dailey, E. Puckett, S. McCullough, and M. Higuchi. A New Cell Culture Exposure System (CCES) for Studying the Toxicity of Volatile Chemicals at the Air-Liquid Interface. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(4): 169-177, (2018).

An effort was made to derive new inhalation TTC values using the EPA’s Toxicity Values database, ToxValDB. A total of 4703 substances captured in ToxValDB were assigned into their respective TTC categories using the Kroes module within the Toxtree software tool and custom profilers developed in Nelms et al (2019) and Patlewicz et al (2018). For the substances assigned into the 3 Cramer classes, the 5th percentiles were calculated from the empirical cumulative distributions of No observed (adverse) effect level (concentration) values. The 5th percentiles were converted to their respective TTC values and compared with published values reported by Escher et al (2010) and Carthew et al (2009). The TTC values derived from ToxValDB were orders of magnitude more conservative, further Cramer classification was not found to be effective at discriminating potencies. This dataset is associated with the following publication: Nelms, M., and G. Patlewicz. Derivation of New Threshold of Toxicological Concern Values for Exposure via Inhalation for Environmentally-Relevant Chemicals. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 2: 580347, (2020).