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2. A compendium of multi-omics data illuminating host responses to lethal human virus infections

Author

Eisfeld, Amie J., Anderson, Lindsey N., Fan, Shufang, Walters, Kevin B., Halfmann, Peter J., Westhoff Smith, Danielle, Thackray, Larissa B., Tan, Qing, Sims, Amy C., Menachery, Vineet D., Schäfer, Alexandra, Sheahan, Timothy P., Cockrell, Adam S., Stratton, Kelly G., Webb-Robertson, Bobbie-Jo M., Kyle, Jennifer E., Burnum-Johnson, Kristin E., Kim, Young-Mo, Nicora, Carrie D., Peralta, Zuleyma, N’jai, Alhaji U., Sahr, Foday, van Bakel, Harm, Diamond, Michael S., Baric, Ralph S., Metz, Thomas O., Smith, Richard D., Kawaoka, Yoshihiro, and Waters, Katrina M.

Published
2024
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4. Hypergraph Models of Biological Networks to Identify Genes Critical to Pathogenic Viral Response

Author

Feng, Song, Heath, Emily, Jefferson, Brett, Joslyn, Cliff, Kvinge, Henry, Mitchell, Hugh D., Praggastis, Brenda, Eisfeld, Amie J., Sims, Amy C., Thackray, Larissa B., Fan, Shufang, Walters, Kevin B., Halfmann, Peter J., Westhoff-Smith, Danielle, Tan, Qing, Menachery, Vineet D., Sheahan, Timothy P., Cockrell, Adam S., Kocher, Jacob F., Stratton, Kelly G., Heller, Natalie C., Bramer, Lisa M., Diamond, Michael S., Baric, Ralph S., Waters, Katrina M., Kawaoka, Yoshihiro, McDermott, Jason E., and Purvine, Emilie

Subjects
Quantitative Biology - Quantitative Methods, Mathematics - Combinatorics, 92C42, 92-08, 05C65
Abstract

Background: Representing biological networks as graphs is a powerful approach to reveal underlying patterns, signatures, and critical components from high-throughput biomolecular data. However, graphs do not natively capture the multi-way relationships present among genes and proteins in biological systems. Hypergraphs are generalizations of graphs that naturally model multi-way relationships and have shown promise in modeling systems such as protein complexes and metabolic reactions. In this paper we seek to understand how hypergraphs can more faithfully identify, and potentially predict, important genes based on complex relationships inferred from genomic expression data sets. Results: We compiled a novel data set of transcriptional host response to pathogenic viral infections and formulated relationships between genes as a hypergraph where hyperedges represent significantly perturbed genes, and vertices represent individual biological samples with specific experimental conditions. We find that hypergraph betweenness centrality is a superior method for identification of genes important to viral response when compared with graph centrality. Conclusions: Our results demonstrate the utility of using hypergraphs to represent complex biological systems and highlight central important responses in common to a variety of highly pathogenic viruses.

Published
2020

5. A resource of lipidomics and metabolomics data from individuals with undiagnosed diseases.

Author

Kyle, Jennifer E, Stratton, Kelly G, Zink, Erika M, Kim, Young-Mo, Bloodsworth, Kent J, Monroe, Matthew E, Undiagnosed Diseases Network, Waters, Katrina M, Webb-Robertson, Bobbie-Jo M, Koeller, David M, and Metz, Thomas O

Subjects
Undiagnosed Diseases Network, Humans, Metabolic Diseases, Adolescent, Adult, Middle Aged, Child, Child, Preschool, Infant, Infant, Newborn, Female, Male, Mass Spectrometry, Metabolomics, Young Adult, Datasets as Topic, Undiagnosed Diseases, Lipidomics, Clinical Research, Metabolic and endocrine
Abstract

Every year individuals experience symptoms that remain undiagnosed by healthcare providers. In the United States, these rare diseases are defined as a condition that affects fewer than 200,000 individuals. However, there are an estimated 7000 rare diseases, and there are an estimated 25-30 million Americans in total (7.6-9.2% of the population as of 2018) affected by such disorders. The NIH Common Fund Undiagnosed Diseases Network (UDN) seeks to provide diagnoses for individuals with undiagnosed disease. Mass spectrometry-based metabolomics and lipidomics analyses could advance the collective understanding of individual symptoms and advance diagnoses for individuals with heretofore undiagnosed disease. Here, we report the mass spectrometry-based metabolomics and lipidomics analyses of blood plasma, urine, and cerebrospinal fluid from 148 patients within the UDN and their families, as well as from a reference population of over 100 individuals with no known metabolic diseases. The raw and processed data are available to the research community so that they might be useful in the diagnoses of current or future patients suffering from undiagnosed disorders.

Published
2021

7. Multi-omics of NET formation and correlations with CNDP1, PSPB, and L-cystine levels in severe and mild COVID-19 infections

Author

Bramer, Lisa M., Hontz, Robert D., Eisfeld, Amie J., Sims, Amy C., Kim, Young-Mo, Stratton, Kelly G., Nicora, Carrie D., Gritsenko, Marina A., Schepmoes, Athena A., Akasaka, Osamu, Koga, Michiko, Tsutsumi, Takeya, Nakamura, Morio, Nakachi, Ichiro, Baba, Rie, Tateno, Hiroki, Suzuki, Shoji, Nakajima, Hideaki, Kato, Hideaki, Ishida, Kazunari, Ishii, Makoto, Uwamino, Yoshifumi, Mitamura, Keiko, Paurus, Vanessa L., Nakayasu, Ernesto S., Attah, Isaac K., Letizia, Andrew G., Waters, Katrina M., Metz, Thomas O., Corson, Karen, Kawaoka, Yoshihiro, Gerbasi, Vincent R., Yotsuyanagi, Hiroshi, and Iwatsuki-Horimoto, Kiyoko

Published
2023
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9. Diverse PFAS produce unique transcriptomic changes linked to developmental toxicity in zebrafish.

Author

Rericha, Yvonne, St. Mary, Lindsey, Truong, Lisa, McClure, Ryan, Martin, J. Kainalu, Leonard, Scott W., Thunga, Preethi, Simonich, Michael T., Waters, Katrina M., Field, Jennifer A., and Tanguay, Robyn L.

Subjects
FLUOROALKYL compounds, GENE expression, TRANSCRIPTOMES, SULFONIC acids, RISK assessment
Abstract

Per- and polyfluoroalkyl substances (PFAS) are a widespread and persistent class of contaminants posing significant environmental and human health concerns. Comprehensive understanding of the modes of action underlying toxicity among structurally diverse PFAS is mostly lacking. To address this need, we recently reported on our application of developing zebrafish to evaluate a large library of PFAS for developmental toxicity. In the present study, we prioritized 15 bioactive PFAS that induced significant morphological effects and performed RNAsequencing to characterize early transcriptional responses at a single timepoint (48 h post fertilization) after early developmental exposures (8 h post fertilization). Internal concentrations of 5 of the 15 PFAS were measured from pooled whole fish samples across multiple timepoints between 24-120 h post fertilization, and additional temporal transcriptomics at several timepoints (48-96 h post fertilization) were conducted for Nafion byproduct 2. A broad range of differentially expressed gene counts were identified across the PFAS exposures. Most PFAS that elicited robust transcriptomic changes affected biological processes of the brain and nervous system development. While PFAS disrupted unique processes, we also found that similarities in some functional head groups of PFAS were associated with the disruption in expression of similar gene sets. Body burdens after early developmental exposures to select sulfonic acid PFAS, including Nafion byproduct 2, increased from the 24-96 h post fertilization sampling timepoints and were greater than those of sulfonamide PFAS of similar chain lengths. In parallel, the Nafion byproduct 2-induced transcriptional responses increased between 48 and 96 h post fertilization. PFAS characteristics based on toxicity, transcriptomic effects, and modes of action will contribute to further prioritization of PFAS structures for testing and informed hazard assessment. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Development and Outcomes of Returning Polycyclic Aromatic Hydrocarbon Exposure Results in the Washington Heights, NYC Community.

Author

Riley, Kylie W, Burke, Kimberly, Dixon, Holly, Holmes, Darrell, Calero, Lehyla, Barton, Michael, Miller, Rachel L, Bramer, Lisa M, Waters, Katrina M, Anderson, Kim A, Herbstman, Julie, and Rohlman, Diana

Abstract

Report-back of research results (RBRR) is becoming standard practice for environmental health research studies. RBRR is thought to increase environmental health literacy (EHL), although standardized measurements are limited. For this study, we developed a report back document on exposure to air pollutants, Polycyclic Aromatic Hydrocarbons, during pregnancy through community engaged research and evaluated whether the report increased EHL. We used focus groups and surveys to gather feedback on the report document from an initial group of study participants (Group 1, n = 22) and then sent the revised report to a larger number of participants (Group 2, n = 168). We conducted focus groups among participants in Group 1 and discussed their suggested changes to the report and how those changes could be implemented. Participants in focus groups demonstrated multiple levels of EHL. While participant engagement critically informed report development, a survey comparing feedback from Group 1 (initial report) and Group 2 (revised report) did not show a significant difference in the ease of reading the report or knowledge gained about air pollutants. We acknowledge that our approach was limited by a lack of EHL tools that assess knowledge and behavior change, and a reliance on quantitative methodologies. Future approaches that merge qualitative and quantitative methodologies to evaluate RBRR and methodologies for assessing RBRR materials and subsequent changes in knowledge, attitudes, and behavior, may be necessary. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Partial Loss of USP9X Function Leads to a Male Neurodevelopmental and Behavioral Disorder Converging on Transforming Growth Factor β Signaling

Author

Pena, Loren, Shashi, Vandana, Schoch, Kelly, Sullivan, Jennifer A., Acosta, Maria T., Adams, David R., Aday, Aaron, Alejandro, Mercedes E., Allard, Patrick, Ashley, Euan A., Azamian, Mahshid S., Bacino, Carlos A., Bademci, Guney, Baker, Eva, Balasubramanyam, Ashok, Baldridge, Dustin, Barbouth, Deborah, Batzli, Gabriel F., Beggs, Alan H., Bellen, Hugo J., Bernstein, Jonathan A., Berry, Gerard T., Bican, Anna, Bick, David P., Birch, Camille L., Bivona, Stephanie, Bonnenmann, Carsten, Bonner, Devon, Boone, Braden E., Bostwick, Bret L., Briere, Lauren C., Brokamp, Elly, Brown, Donna M., Brush, Matthew, Burke, Elizabeth A., Burrage, Lindsay C., Butte, Manish J., Carrasquillo, Olveen, Peter Chang, Ta Chen, Chao, Hsiao-Tuan, Clark, Gary D., Coakley, Terra R., Cobban, Laurel A., Cogan, Joy D., Cole, F. Sessions, Colley, Heather A., Cooper, Cynthia M., Cope, Heidi, Craigen, William J., D'Souza, Precilla, Dasari, Surendra, Davids, Mariska, Davidson, Jean M., Dayal, Jyoti G., Dell'Angelica, Esteban C., Dhar, Shweta U., Dorrani, Naghmeh, Dorset, Daniel C., Douine, Emilie D., Draper, David D., Dries, Annika M., Duncan, Laura, Eckstein, David J., Emrick, Lisa T., Eng, Christine M., Enns, Gregory M., Esteves, Cecilia, Estwick, Tyra, Fernandez, Liliana, Ferreira, Carlos, Fieg, Elizabeth L., Fisher, Paul G., Fogel, Brent L., Forghani, Irman, Friedman, Noah D., Gahl, William A., Godfrey, Rena A., Goldman, Alica M., Goldstein, David B., Gourdine, Jean-Philippe F., Grajewski, Alana, Groden, Catherine A., Gropman, Andrea L., Haendel, Melissa, Hamid, Rizwan, Hanchard, Neil A., High, Frances, Holm, Ingrid A., Hom, Jason, Huang, Alden, Huang, Yong, Isasi, Rosario, Jamal, Fariha, Jiang, Yong-hui, Johnston, Jean M., Jones, Angela L., Karaviti, Lefkothea, Kelley, Emily G., Koeller, David M., Kohane, Isaac S., Kohler, Jennefer N., Krakow, Deborah, Krasnewich, Donna M., Korrick, Susan, Koziura, Mary, Krier, Joel B., Kyle, Jennifer E., Lalani, Seema R., Lam, Byron, Lanpher, Brendan C., Lanza, Ian R., Lau, C. Christopher, Lazar, Jozef, LeBlanc, Kimberly, Lee, Brendan H., Lee, Hane, Levitt, Roy, Levy, Shawn E., Lewis, Richard A., Lincoln, Sharyn A., Liu, Pengfei, Liu, Xue Zhong, Loo, Sandra K., Loscalzo, Joseph, Maas, Richard L., Macnamara, Ellen F., MacRae, Calum A., Maduro, Valerie V., Majcherska, Marta M., Malicdan, May Christine V., Mamounas, Laura A., Manolio, Teri A., Markello, Thomas C., Marom, Ronit, Martin, Martin G., Martínez-Agosto, Julian A., Marwaha, Shruti, May, Thomas, McCauley, Jacob, McConkie-Rosell, Allyn, McCormack, Colleen E., McCray, Alexa T., Merker, Jason D., Metz, Thomas O., Might, Matthew, Morava-Kozicz, Eva, Moretti, Paolo M., Morimoto, Marie, Mulvihill, John J., Murdock, David R., Nath, Avi, Nelson, Stan F., Newberry, J. Scott, Newman, John H., Nicholas, Sarah K., Novacic, Donna, Oglesbee, Devin, Orengo, James P., Pak, Stephen, Pallais, J. Carl, Palmer, Christina GS., Papp, Jeanette C., Parker, Neil H., Phillips, John A., III, Posey, Jennifer E., Postlethwait, John H., Potocki, Lorraine, Pusey, Barbara N., Renteri, Genecee, Reuter, Chloe M., Rives, Lynette, Robertson, Amy K., Rodan, Lance H., Rosenfeld, Jill A., Rowley, Robb K., Sacco, Ralph, Sampson, Jacinda B., Samson, Susan L., Saporta, Mario, Schaechter, Judy, Schedl, Timothy, Scott, Daryl A., Shakachite, Lisa, Sharma, Prashant, Shields, Kathleen, Shin, Jimann, Signer, Rebecca, Sillari, Catherine H., Silverman, Edwin K., Sinsheimer, Janet S., Smith, Kevin S., Solnica-Krezel, Lilianna, Spillmann, Rebecca C., Stoler, Joan M., Stong, Nicholas, Sweetser, David A., Tamburro, Cecelia P., Tan, Queenie K.-G., Tekin, Mustafa, Telischi, Fred, Thorson, Willa, Tifft, Cynthia J., Toro, Camilo, Tran, Alyssa A., Urv, Tiina K., Vogel, Tiphanie P., Waggott, Daryl M., Wahl, Colleen E., Walley, Nicole M., Walsh, Chris A., Walker, Melissa, Wambach, Jennifer, Wan, Jijun, Wang, Lee-kai, Wangler, Michael F., Ward, Patricia A., Waters, Katrina M., Webb-Robertson, Bobbie-Jo M., Wegner, Daniel, Westerfield, Monte, Wheeler, Matthew T., Wise, Anastasia L., Wolfe, Lynne A., Woods, Jeremy D., Worthey, Elizabeth A., Yamamoto, Shinya, Yang, John, Yoon, Amanda J., Yu, Guoyun, Zastrow, Diane B., Zhao, Chunli, Zuchner, Stephan, Gahl, William, Johnson, Brett V., Kumar, Raman, Oishi, Sabrina, Alexander, Suzy, Kasherman, Maria, Vega, Michelle Sanchez, Ivancevic, Atma, Gardner, Alison, Domingo, Deepti, Corbett, Mark, Parnell, Euan, Yoon, Sehyoun, Oh, Tracey, Lines, Matthew, Lefroy, Henrietta, Kini, Usha, Van Allen, Margot, Grønborg, Sabine, Mercier, Sandra, Küry, Sébastien, Bézieau, Stéphane, Pasquier, Laurent, Raynaud, Martine, Afenjar, Alexandra, Billette de Villemeur, Thierry, Keren, Boris, Désir, Julie, Van Maldergem, Lionel, Marangoni, Martina, Dikow, Nicola, Koolen, David A., VanHasselt, Peter M., Weiss, Marjan, Zwijnenburg, Petra, Sa, Joaquim, Reis, Claudia Falcao, López-Otín, Carlos, Santiago-Fernández, Olaya, Fernández-Jaén, Alberto, Rauch, Anita, Steindl, Katharina, Joset, Pascal, Goldstein, Amy, Madan-Khetarpal, Suneeta, Infante, Elena, Zackai, Elaine, Mcdougall, Carey, Narayanan, Vinodh, Ramsey, Keri, Mercimek-Andrews, Saadet, Pinto e Vairo, Filippo, Pichurin, Pavel N., Ewing, Sarah A., Barnett, Sarah S., Klee, Eric W., Perry, M. Scott, Koenig, Mary Kay, Keegan, Catherine E., Schuette, Jane L., Asher, Stephanie, Perilla-Young, Yezmin, Smith, Laurie D., Bhoj, Elizabeth, Kaplan, Paige, Li, Dong, Oegema, Renske, van Binsbergen, Ellen, van der Zwaag, Bert, Smeland, Marie Falkenberg, Cutcutache, Ioana, Page, Matthew, Armstrong, Martin, Lin, Angela E., Steeves, Marcie A., Hollander, Nicolette den, Hoffer, Mariëtte J.V., Reijnders, Margot R.F., Demirdas, Serwet, Koboldt, Daniel C., Bartholomew, Dennis, Mosher, Theresa Mihalic, Hickey, Scott E., Shieh, Christine, Sanchez-Lara, Pedro A., Graham, John M., Jr., Tezcan, Kamer, Schaefer, G.B., Danylchuk, Noelle R., Asamoah, Alexander, Jackson, Kelly E., Yachelevich, Naomi, Au, Margaret, Pérez-Jurado, Luis A., Kleefstra, Tjitske, Penzes, Peter, Wood, Stephen A., Burne, Thomas, Pierson, Tyler Mark, Piper, Michael, Gécz, Jozef, and Jolly, Lachlan A.

Published
2020
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14. Integrated Omics Analysis of Pathogenic Host Responses during Pandemic H1N1 Influenza Virus Infection: The Crucial Role of Lipid Metabolism

Author

Tisoncik-Go, Jennifer, Gasper, David J, Kyle, Jennifer E, Eisfeld, Amie J, Selinger, Christian, Hatta, Masato, Morrison, Juliet, Korth, Marcus J, Zink, Erika M, Kim, Young-Mo, Schepmoes, Athena A, Nicora, Carrie D, Purvine, Samuel O, Weitz, Karl K, Peng, Xinxia, Green, Richard R, Tilton, Susan C, Webb-Robertson, Bobbie-Jo, Waters, Katrina M, Metz, Thomas O, Smith, Richard D, Kawaoka, Yoshihiro, Suresh, M, Josset, Laurence, and Katze, Michael G

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Clinical Sciences, Biological Sciences, Biodefense, Prevention, Influenza, Infectious Diseases, Pneumonia & Influenza, Vaccine Related, Lung, Emerging Infectious Diseases, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Aetiology, Infection, Animals, Disease Models, Animal, Ferrets, Gene Expression, Host-Pathogen Interactions, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human, Lipid Metabolism, Lipids, Metabolomics, Microbiology, Immunology, Biochemistry and cell biology, Medical microbiology
Abstract

Pandemic influenza viruses modulate proinflammatory responses that can lead to immunopathogenesis. We present an extensive and systematic profiling of lipids, metabolites, and proteins in respiratory compartments of ferrets infected with either 1918 or 2009 human pandemic H1N1 influenza viruses. Integrative analysis of high-throughput omics data with virologic and histopathologic data uncovered relationships between host responses and phenotypic outcomes of viral infection. Proinflammatory lipid precursors in the trachea following 1918 infection correlated with severe tracheal lesions. Using an algorithm to infer cell quantity changes from gene expression data, we found enrichment of distinct T cell subpopulations in the trachea. There was also a predicted increase in inflammatory monocytes in the lung of 1918 virus-infected animals that was sustained throughout infection. This study presents a unique resource to the influenza research community and demonstrates the utility of an integrative systems approach for characterization of lipid metabolism alterations underlying respiratory responses to viruses.

Published
2016

15. Hypergraph models of biological networks to identify genes critical to pathogenic viral response

Author

Feng, Song, Heath, Emily, Jefferson, Brett, Joslyn, Cliff, Kvinge, Henry, Mitchell, Hugh D., Praggastis, Brenda, Eisfeld, Amie J., Sims, Amy C., Thackray, Larissa B., Fan, Shufang, Walters, Kevin B., Halfmann, Peter J., Westhoff-Smith, Danielle, Tan, Qing, Menachery, Vineet D., Sheahan, Timothy P., Cockrell, Adam S., Kocher, Jacob F., Stratton, Kelly G., Heller, Natalie C., Bramer, Lisa M., Diamond, Michael S., Baric, Ralph S., Waters, Katrina M., Kawaoka, Yoshihiro, McDermott, Jason E., and Purvine, Emilie

Published
2021
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17. PM2.5 Is Insufficient to Explain Personal PAH Exposure.

Author

Bramer, Lisa M., Dixon, Holly M., Rohlman, Diana, Scott, Richard P., Miller, Rachel L., Kincl, Laurel, Herbstman, Julie B., Waters, Katrina M., and Anderson, Kim A.

Subjects
MACHINE learning, AIR quality indexes, PARTICULATE matter, AIR quality, TOBACCO smoke, POLYCYCLIC aromatic hydrocarbons, AIR pollutants
Abstract

To understand how chemical exposure can impact health, researchers need tools that capture the complexities of personal chemical exposure. In practice, fine particulate matter (PM2.5) air quality index (AQI) data from outdoor stationary monitors and Hazard Mapping System (HMS) smoke density data from satellites are often used as proxies for personal chemical exposure, but do not capture total chemical exposure. Silicone wristbands can quantify more individualized exposure data than stationary air monitors or smoke satellites. However, it is not understood how these proxy measurements compare to chemical data measured from wristbands. In this study, participants wore daily wristbands, carried a phone that recorded locations, and answered daily questionnaires for a 7‐day period in multiple seasons. We gathered publicly available daily PM2.5 AQI data and HMS data. We analyzed wristbands for 94 organic chemicals, including 53 polycyclic aromatic hydrocarbons. Wristband chemical detections and concentrations, behavioral variables (e.g., time spent indoors), and environmental conditions (e.g., PM2.5 AQI) significantly differed between seasons. Machine learning models were fit to predict personal chemical exposure using PM2.5 AQI only, HMS only, and a multivariate feature set including PM2.5 AQI, HMS, and other environmental and behavioral information. On average, the multivariate models increased predictive accuracy by approximately 70% compared to either the AQI model or the HMS model for all chemicals modeled. This study provides evidence that PM2.5 AQI data alone or HMS data alone is insufficient to explain personal chemical exposures. Our results identify additional key predictors of personal chemical exposure. Plain Language Summary: Tools are needed to determine how chemical exposures may affect people's health. It is not understood how air quality data from stationary air monitors and smoke density data from satellites align with personal chemical exposure data from silicone wristbands; we present the first study to evaluate this. In this study, people wore wristbands, carried phones to track their locations, and answered questions for a week in different seasons. We also collected fine particulate matter data from outdoor monitors and satellites and tested the wristbands for 94 different chemicals. The results showed that the wristband data, along with other information like where people spent time and the air quality, varied between seasons. We used machine learning models to predict personal chemical exposure using only the data from monitors or satellites, and then using a mix of data from both, along with additional data about the environment and people's behaviors. Models that used a mix of data were much better at predicting exposure compared to using just one type of data. This study tells us that using fine particulate data from monitors or satellites is not enough to understand personal chemical exposure. Key Points: Explaining personal chemical exposures required more than fine particulate matter air quality index (AQI) or hazard mapping system dataModels with variables in addition to fine particulate matter AQI increased predictive accuracy of exposureHeavy wildfire smoke was measured during the study [ABSTRACT FROM AUTHOR]

Published
2024
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19. MERS-CoV and H5N1 influenza virus antagonize antigen presentation by altering the epigenetic landscape

Author

Menachery, Vineet D., Schäfer, Alexandra, Burnum-Johnson, Kristin E., Mitchell, Hugh D., Eisfeld, Amie J., Walters, Kevin B., Nicora, Carrie D., Purvine, Samuel O., Casey, Cameron P., Monroe, Matthew E., Weitz, Karl K., Stratton, Kelly G., Webb-Robertson, Bobbie-Jo M., Gralinski, Lisa E., Metz, Thomas O., Smith, Richard D., Waters, Katrina M., Sims, Amy C., Kawaoka, Yoshihiro, and Baric, Ralph S.

Published
2018

20. Bayesian Posterior Integration for Classification of Mass Spectrometry Data

Author

Webb-Robertson, Bobbie-Jo M., Metz, Thomas O., Waters, Katrina M., Zhang, Qibin, Rewers, Marian, Datta, Somnath, Editor-in-chief, Viens, Frederi G., Series editor, Politis, Dimitris N., Series editor, Fokianos, Konstantinos, Series editor, Daniels, Michael, Series editor, Datta, Susmita, editor, and Mertens, Bart J. A., editor

Published
2017
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25. Atypical Alexander disease with dystonia, retinopathy, and a brain mass mimicking astrocytoma

Author

Machol, Keren, Jankovic, Joseph, Vijayakumar, Dhanya, Burrage, Lindsay C., Jain, Mahim, Lewis, Richard A., Fuller, Gregory N., Xu, Mingchu, Penas-Prado, Marta, Gule-Monroe, Maria K., Rosenfeld, Jill A., Chen, Rui, Eng, Christine M., Yang, Yaping, Lee, Brendan H., Moretti, Paolo M., Dhar, Shweta U., Alejandro, Mercedes E., Azamian, Mahshid S., Bacino, Carlos A., Balasubramanyam, Ashok, Bostwick, Bret L., Burrage, Lindsay C., Chen, Shan, Clark, Gary D., Craigen, William J., Dhar, Shweta U., Emrick, Lisa T., Goldman, Alica M., Hanchard, Neil A., Jamal, Fariha, Karaviti, Lefkothea, Lalani, Seema R., Lee, Brendan H., Lewis, Richard A., Marom, Ronit, Moretti, Paolo M., Murdock, David R., Nicholas, Sarah K., Orange, Jordan S., Orengo, James P., Posey, Jennifer E., Potocki, Lorraine, Rosenfeld, Jill A., Samson, Susan L., Scott, Daryl A., Tran, Alyssa A., Vogel, Tiphanie P., Bellen, Hugo J., Wangler, Michael F., Yamamoto, Shinya, Eng, Christine M., Muzny, Donna M., Ward, Patricia A., Yang, Yaping, Goldstein, David B., Stong, Nicholas, Cope, Heidi, Jiang, Yong-hui, McConkie-Rosell, Allyn, Pena, Loren DM., Schoch, Kelly, Shashi, Vandana, Spillmann, Rebecca C., Sullivan, Jennifer A., Tan, Queenie K.G., Walley, Nicole M., Aaron, Aday, Beggs, Alan H., Briere, Lauren C., Cooper, Cynthia M., Donnell-Fink, Laurel A., High, Francis, Korrick, Susan, Krieg, Elizabeth L., Krier, Joel B., Lincoln, Sharyn A., Loscalzo, Joseph, Maas, Richard L., MacRae, Calum A., Pallais, J. Carl, Rodan, Lance H., Silverman, Edwin K., Stoler, Joan M., Sweetser, David A., Walker, Melissa, Walsh, Chris A., Esteves, Cecilia, Glanton, Emily, Holm, Ingrid A., Kohane, Isaac S., McCray, Alexa T., Might, Matthew, LeBlanc, Kimberly, Bick, David P., Birch, Camille L., Boone, Braden E., Brown, Donna M., Dorset, Daniel C., Handley, Lori H., Jones, Angela L., Lazar, Jozef, Levy, Shawn E., May, Thomas, Newberry, J. Scott, Schroeder, Molly C., Worthey, Elizabeth A., Batzli, Gabriel F., Dayal, Jyoti G., Eckstein, David J., Gould, Sarah E., Howerton, Ellen M., Krasnewich, Donna M., Mamounas, Laura A., Manolio, Teri A., Mulvihill, John J., Urv, Tiina K., Wise, Anastasia L., Brush, Matthew, Gourdine, Jean-Philippe F., Haendel, Melissa, Koeller, David M., Kyle, Jennifer E., Metz, Thomas O., Waters, Katrina M., Webb-Robertson, Bobbie-Jo M., Ashley, Euan A., Bernstein, Jonathan A., Bonner, Devon, Coakley, Terra R., Davidson, Jean M., Dries, Annika M., Enns, Gregory M., Fernandez, Liliana, Fisher, Paul G., Friedman, Noah D., Hom, Jason, Huang, Yong, Kohler, Jennefer N., Majcherska, Marta M., Marwaha, Shruti, McCormack, Colleen E., Merker, Jason D., Reuter, Chloe M., Sampson, Jacinda B., Smith, Kevin S., Waggott, Daryl M., Wheeler, Matthew T., Zastrow, Diane B., Zhao, Chunli, Allard, Patrick, Barseghyan, Hayk, Butte, Manish J., DellʼAngelica, Esteban C., Dipple, Katrina M., Dorrani, Naghmeh, Douine, Emilie D., Eskin, Ascia, Fogel, Brent L., Herzog, Matthew R., Lee, Hane, Loo, Sandra K., Martin, Martin G., Martínez-Agosto, Julian A., Nelson, Stan F., Palmer, Christina GS., Papp, Jeanette C., Parker, Neil H., Sinsheimer, Janet S., Vilain, Eric, Wan, Jijun, Yoon, Amanda J., Zheng, Allison, Behnam, Babak, Burke, Elizabeth A., DʼSouza, Precilla, Davids, Mariska, Draper, David D., Estwick, Tyra, Ferreira, Carlos, Godfrey, Rena A., Groden, Catherine A., Johnston, Jean M., Lau, C. Christopher, Macnamara, Ellen F., Maduro, Valerie V., Markello, Thomas C., Morimoto, Marie, Murphy, Jennifer L., Nehrebecky, Michele E., Novacic, Donna, Pusey, Barbara N., Sharma, Prashant, Toro, Camilo, Valivullah, Zaheer M., Wahl, Colleen E., Yu, Guoyun, Gropman, Andrea L., Adams, David R., Gahl, William A., Malicdan, May Christine V., Tifft, Cynthia J., Wolfe, Lynne A., Postlethwait, John H., Westerfield, Monte, Bican, Anna, Hamid, Rizwan, Newman, John H., Phillips, John A., III, Robertson, Amy K., and Cogan, Joy D.

Published
2018
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28. Host network-based discovery of critical regulators of innate immunity, virus growth, and pathogenesis in influenza virus infection

Author

Eisfeld, Amie J., primary, Fan, Shufang, additional, Rao, Hongyu, additional, Venkatachalam, Backiyalakshmi Ammayappan, additional, Smith, Danielle Westhoff, additional, Halfmann, Peter J., additional, Walters, Kevin B., additional, Nair, Sharmila, additional, Thackray, Larissa B., additional, Kocher, Jacob F., additional, Sims, Amy C., additional, Mitchell, Hugh D., additional, Neumann, Gabriele, additional, Blank, Volker, additional, Waters, Katrina M., additional, Baric, Ralph S., additional, Diamond, Michael S., additional, and Kawaoka, Yoshihiro, additional

Published
2022
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33. Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking

Author

Wang, Mingxun, Carver, Jeremy J, Phelan, Vanessa V, Sanchez, Laura M, Garg, Neha, Peng, Yao, Nguyen, Don Duy, Watrous, Jeramie, Kapono, Clifford A, Luzzatto-Knaan, Tal, Porto, Carla, Bouslimani, Amina, Melnik, Alexey V, Meehan, Michael J, Liu, Wei-Ting, Crüsemann, Max, Boudreau, Paul D, Esquenazi, Eduardo, Sandoval-Calderón, Mario, Kersten, Roland D, Pace, Laura A, Quinn, Robert A, Duncan, Katherine R, Hsu, Cheng-Chih, Floros, Dimitrios J, Gavilan, Ronnie G, Kleigrewe, Karin, Northen, Trent, Dutton, Rachel J, Parrot, Delphine, Carlson, Erin E, Aigle, Bertrand, Michelsen, Charlotte F, Jelsbak, Lars, Sohlenkamp, Christian, Pevzner, Pavel, Edlund, Anna, McLean, Jeffrey, Piel, Jörn, Murphy, Brian T, Gerwick, Lena, Liaw, Chih-Chuang, Yang, Yu-Liang, Humpf, Hans-Ulrich, Maansson, Maria, Keyzers, Robert A, Sims, Amy C, Johnson, Andrew R, Sidebottom, Ashley M, Sedio, Brian E, Klitgaard, Andreas, Larson, Charles B, Boya P, Cristopher A, Torres-Mendoza, Daniel, Gonzalez, David J, Silva, Denise B, Marques, Lucas M, Demarque, Daniel P, Pociute, Egle, O'Neill, Ellis C, Briand, Enora, Helfrich, Eric J N, Granatosky, Eve A, Glukhov, Evgenia, Ryffel, Florian, Houson, Hailey, Mohimani, Hosein, Kharbush, Jenan J, Zeng, Yi, Vorholt, Julia A, Kurita, Kenji L, Charusanti, Pep, McPhail, Kerry L, Nielsen, Kristian Fog, Vuong, Lisa, Elfeki, Maryam, Traxler, Matthew F, Engene, Niclas, Koyama, Nobuhiro, Vining, Oliver B, Baric, Ralph, Silva, Ricardo R, Mascuch, Samantha J, Tomasi, Sophie, Jenkins, Stefan, Macherla, Venkat, Hoffman, Thomas, Agarwal, Vinayak, Williams, Philip G, Dai, Jingqui, Neupane, Ram, Gurr, Joshua, Rodríguez, Andrés M C, Lamsa, Anne, Zhang, Chen, Dorrestein, Kathleen, Duggan, Brendan M, Almaliti, Jehad, Allard, Pierre-Marie, Phapale, Prasad, Nothias, Louis-Felix, Alexandrov, Theodore, Litaudon, Marc, Wolfender, Jean-Luc, Kyle, Jennifer E, Metz, Thomas O, Peryea, Tyler, Nguyen, Dac-Trung, VanLeer, Danielle, Shinn, Paul, Jadhav, Ajit, Müller, Rolf, Waters, Katrina M, Shi, Wenyuan, Liu, Xueting, Zhang, Lixin, Knight, Rob, Jensen, Paul R, Palsson, Bernhard Ø, Pogliano, Kit, Linington, Roger G, Gutiérrez, Marcelino, Lopes, Norberto P, Gerwick, William H, Moore, Bradley S, Dorrestein, Pieter C, and Bandeira, Nuno

Published
2016
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34. Impact of acute temperature and air pollution exposures on adult lung function: A panel study of asthmatics

Author

Evoy, Richard, primary, Kincl, Laurel, additional, Rohlman, Diana, additional, Bramer, Lisa M., additional, Dixon, Holly M., additional, Hystad, Perry, additional, Bae, Harold, additional, Barton, Michael, additional, Phillips, Aaron, additional, Miller, Rachel L., additional, Waters, Katrina M., additional, Herbstman, Julie B., additional, and Anderson, Kim A., additional

Published
2022
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43. Multi-omics Characterization of Neutrophil Extracellular Trap Formation in Severe and Mild COVID-19 Infections

Author

Bramer, Lisa M., primary, Hontz, Robert D., additional, Eisfeld, Amie J., additional, Sims, Amy C., additional, Kim, Young-Mo, additional, Stratton, Kelly G., additional, Nicora, Carrie D., additional, Gritsenko, Marina A., additional, Schepmoes, Athena A., additional, Akasaka, Osamu, additional, Koga, Michiko, additional, Tsutsumi, Takeya, additional, Nakamura, Morio, additional, Nakachi, Ichiro, additional, Baba, Rie, additional, Tateno, Hiroki, additional, Suzuki, Shoji, additional, Nakajima, Hideaki, additional, Kato, Hideaki, additional, Ishida, Kazunari, additional, Ishii, Makoto, additional, Uwamino, Yoshifumi, additional, Mitamura, Keiko, additional, Paurus, Vanessa L., additional, Nakayasu, Ernesto S., additional, Attah, Isaac K., additional, Letizia, Andrew G., additional, Waters, Katrina M., additional, Metz, Thomas O., additional, Corson, Karen, additional, Kawaoka, Yoshihiro, additional, and Gerbasi, Vincent R., additional

Published
2022
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44. The Ahr2-Dependent wfikkn1 Gene Influences Zebrafish Transcriptome, Proteome, and Behavior

Author

Shankar, Prarthana, primary, Garcia, Gloria R, additional, La Du, Jane K, additional, Sullivan, Christopher M, additional, Dunham, Cheryl L, additional, Goodale, Britton C, additional, Waters, Katrina M, additional, Stanisheuski, Stanislau, additional, Maier, Claudia S, additional, Thunga, Preethi, additional, Reif, David M, additional, and Tanguay, Robyn L, additional

Published
2022
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48. One is the loneliest number: genotypic matchmaking using the electronic health record

Author

Brokamp, Elly, primary, Koziura, Mary E., additional, Phillips, John A., additional, Tang, Leigh Anne, additional, Cogan, Joy D., additional, Rives, Lynette C., additional, Robertson, Amy K., additional, Duncan, Laura, additional, Bican, Anna, additional, Peterson, Josh F., additional, Newman, John H., additional, Hamid, Rizwan, additional, Bastarache, Lisa, additional, Alejandro, Mercedes E., additional, Azamian, Mahshid S., additional, Bacino, Carlos A., additional, Balasubramanyam, Ashok, additional, Bostwick, Bret L., additional, Burrage, Lindsay C., additional, Chao, Hsiao-Tuan, additional, Clark, Gary D., additional, Craigen, William J., additional, Dhar, Shweta U., additional, Emrick, Lisa T., additional, Goldman, Alica M., additional, Hanchard, Neil A., additional, Jamal, Fariha, additional, Karaviti, Lefkothea, additional, Lalani, Seema R., additional, Lee, Brendan H., additional, Lewis, Richard A., additional, Marom, Ronit, additional, Moretti, Paolo M., additional, Murdock, David R., additional, Nicholas, Sarah K., additional, Orengo, James P., additional, Posey, Jennifer E., additional, Potocki, Lorraine, additional, Rosenfeld, Jill A., additional, Samson, Susan L., additional, Scott, Daryl A., additional, Tran, Alyssa A., additional, Vogel, Tiphanie P., additional, Bellen, Hugo J., additional, Wangler, Michael F., additional, Yamamoto, Shinya, additional, Eng, Christine M., additional, Liu, Pengfei, additional, Ward, Patricia A., additional, Goldstein, David B., additional, Stong, Nicholas, additional, Cope, Heidi, additional, Jiang, Yong-hui, additional, McConkie-Rosell, Allyn, additional, Schoch, Kelly, additional, Shashi, Vandana, additional, Spillmann, Rebecca C., additional, Sullivan, Jennifer A., additional, Tan, Queenie K.-G., additional, Walley, Nicole M., additional, Agrawal, Pankaj, additional, Beggs, Alan H., additional, Berry, Gerard T., additional, Briere, Lauren C., additional, Cooper, Cynthia M., additional, Cobban, Laurel A., additional, Fieg, Elizabeth L., additional, High, Frances, additional, Holm, Ingrid A., additional, Korrick, Susan, additional, Krier, Joel B., additional, Lincoln, Sharyn A., additional, Loscalzo, Joseph, additional, Maas, Richard L., additional, MacRae, Calum A., additional, Pallais, J. Carl, additional, Rodan, Lance H., additional, Silverman, Edwin K., additional, Stoler, Joan M., additional, Sweetser, David A., additional, Walker, Melissa, additional, Walsh, Chris A., additional, Esteves, Cecilia, additional, Kelley, Emily G., additional, Kohane, Isaac S., additional, LeBlanc, Kimberly, additional, McCray, Alexa T., additional, Might, Matthew, additional, Bick, David P., additional, Birch, Camille L., additional, Boone, Braden E., additional, Brown, Donna M., additional, Dorset, Daniel C., additional, Jones, Angela L., additional, Lazar, Jozef, additional, Levy, Shawn E., additional, May, Thomas, additional, Newberry, J. Scott, additional, Worthey, Elizabeth A., additional, Lanza, Ian R., additional, Oglesbee, Devin, additional, Morava-Kozicz, Eva, additional, Lanpher, Brendan C., additional, Dasari, Surendra, additional, Bademci, Guney, additional, Barbouth, Deborah, additional, Bivona, Stephanie, additional, Carrasquillo, Olveen, additional, Chang, Ta Chen Peter, additional, Forghani, Irman, additional, Grajewski, Alana, additional, Isasi, Rosario, additional, Lam, Byron, additional, Levitt, Roy, additional, Liu, Xue Zhong, additional, McCauley, Jacob, additional, Sacco, Ralph, additional, Saporta, Mario, additional, Schaechter, Judy, additional, Tekin, Mustafa, additional, Telischi, Fred, additional, Thorson, Willa, additional, Zuchner, Stephan, additional, Batzli, Gabriel F., additional, Colley, Heather A., additional, Dayal, Jyoti G., additional, Eckstein, David J., additional, Krasnewich, Donna M., additional, Mamounas, Laura A., additional, Manolio, Teri A., additional, Mulvihill, John J., additional, Rowley, Robb K., additional, Sillari, Catherine H., additional, Tamburro, Cecelia P., additional, Urv, Tiina K., additional, Wise, Anastasia L., additional, Acosta, Maria T., additional, Bonnenmann, Carsten, additional, Burke, Elizabeth A., additional, D’Souza, Precilla, additional, Davids, Mariska, additional, Draper, David D., additional, Estwick, Tyra, additional, Ferreira, Carlos, additional, Godfrey, Rena A., additional, Groden, Catherine A., additional, Johnston, Jean M., additional, Lau, C. Christopher, additional, Macnamara, Ellen F., additional, Maduro, Valerie V., additional, Markello, Thomas C., additional, Morimoto, Marie, additional, Nath, Avi, additional, Novacic, Donna, additional, Pusey, Barbara N., additional, Sharma, Prashant, additional, Toro, Camilo, additional, Wahl, Colleen E., additional, Yu, Guoyun, additional, Gropman, Andrea L., additional, Baker, Eva, additional, Adams, David R., additional, Gahl, William A., additional, Malicdan, May Christine V., additional, Tifft, Cynthia J., additional, Wolfe, Lynne A., additional, Yang, John, additional, Brush, Matthew, additional, Gourdine, Jean-Philippe F., additional, Haendel, Melissa, additional, Koeller, David M., additional, Kyle, Jennifer E., additional, Metz, Thomas O., additional, Waters, Katrina M., additional, Webb-Robertson, Bobbie-Jo M., additional, Ashley, Euan A., additional, Bernstein, Jonathan A., additional, Bonner, Devon, additional, Coakley, Terra R., additional, Fernandez, Liliana, additional, Fisher, Paul G., additional, Hom, Jason, additional, Huang, Yong, additional, Kohler, Jennefer N., additional, Majcherska, Marta M., additional, Marwaha, Shruti, additional, McCormack, Colleen E., additional, Reuter, Chloe M., additional, Sampson, Jacinda B., additional, Smith, Kevin S., additional, Wheeler, Matthew T., additional, Zastrow, Diane B., additional, Zhao, Chunli, additional, Ruzhnikov, Maura, additional, Fresard, Laure, additional, Tabor, Holly K., additional, Raja, Archana N., additional, Bejerano, Gill, additional, Martin, Beth A., additional, Sutton, Shirley, additional, Allard, Patrick, additional, Butte, Manish J., additional, Dell’Angelica, Esteban C., additional, Dorrani, Naghmeh, additional, Douine, Emilie D., additional, Fogel, Brent L., additional, Huang, Alden, additional, Krakow, Deborah, additional, Lee, Hane, additional, Loo, Sandra K., additional, Martin, Martin G., additional, Martínez-Agosto, Julian A., additional, Nelson, Stanley F., additional, Palmer, Christina G.S., additional, Papp, Jeanette C., additional, Parker, Neil H., additional, Renteria, Genecee, additional, Signer, Rebecca H., additional, Sinsheimer, Janet S., additional, Wan, Jijun, additional, Wang, Lee-kai, additional, Woods, Jeremy D., additional, Yoon, Amanda J., additional, Botto, Lorenzo, additional, Andrews, Ashley, additional, Longo, Nicola, additional, Carey, John, additional, Bohnsack, John, additional, Viskochil, Dave, additional, Paolo, Moretti, additional, Laura, Pace, additional, Alvey, Justin, additional, Bale, Jim, additional, Marth, Gabor, additional, Velinder, Matt, additional, Quinlan, Aaron, additional, Mao, Rong, additional, Bayrak-Toydemir, Pinar, additional, Postlethwait, John H., additional, Westerfield, Monte, additional, Shakachite, Lisa, additional, Cole, F. Sessions, additional, Hayes, Nichole, additional, Kiley, Dana, additional, Shields, Kathleen, additional, Sisco, Kathy, additional, Wambach, Jennifer, additional, Wegner, Daniel, additional, Baldridge, Dustin, additional, Schedl, Timothy, additional, Solnica-Krezel, Lilianna, additional, Pak, Stephen, additional, and Shin, Jimann, additional

Published
2021
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49. Erratum: CATMoS: Collaborative Acute Toxicity Modeling Suite

Author

Mansouri, Kamel, primary, Karmaus, Agnes L., additional, Fitzpatrick, Jeremy, additional, Patlewicz, Grace, additional, Pradeep, Prachi, additional, Alberga, Domenico, additional, Alepee, Nathalie, additional, Allen, Timothy E.H., additional, Allen, Dave, additional, Alves, Vinicius M., additional, Andrade, Carolina H., additional, Auernhammer, Tyler R., additional, Ballabio, Davide, additional, Bell, Shannon, additional, Benfenati, Emilio, additional, Bhattacharya, Sudin, additional, Bastos, Joyce V., additional, Boyd, Stephen, additional, Brown, J. B., additional, Capuzzi, Stephen J., additional, Chushak, Yaroslav, additional, Ciallella, Heather, additional, Clark, Alex M., additional, Consonni, Viviana, additional, Daga, Pankaj R., additional, Ekins, Sean, additional, Farag, Sherif, additional, Fedorov, Maxim, additional, Fourches, Denis, additional, Gadaleta, Domenico, additional, Gao, Feng, additional, Gearhart, Jeffery M., additional, Goh, Garett, additional, Goodman, Jonathan M., additional, Grisoni, Francesca, additional, Grulke, Christopher M., additional, Hartung, Thomas, additional, Hirn, Matthew, additional, Karpov, Pavel, additional, Korotcov, Alexandru, additional, Lavado, Giovanna J., additional, Lawless, Michael, additional, Li, Xinhao, additional, Luechtefeld, Thomas, additional, Lunghini, Filippo, additional, Mangiatordi, Giuseppe F., additional, Marcou, Gilles, additional, Marsh, Dan, additional, Martin, Todd, additional, Mauri, Andrea, additional, Muratov, Eugene N., additional, Myatt, Glenn J., additional, Nguyen, Dac-Trung, additional, Nicolotti, Orazio, additional, Note, Reine, additional, Pande, Paritosh, additional, Parks, Amanda K., additional, Peryea, Tyler, additional, Polash, Ahsan H., additional, Rallo, Robert, additional, Roncaglioni, Alessandra, additional, Rowlands, Craig, additional, Ruiz, Patricia, additional, Russo, Daniel P., additional, Sayed, Ahmed, additional, Sayre, Risa, additional, Sheils, Timothy, additional, Siegel, Charles, additional, Silva, Arthur C., additional, Simeonov, Anton, additional, Sosnin, Sergey, additional, Southall, Noel, additional, Strickland, Judy, additional, Tang, Yun, additional, Teppen, Brian, additional, Tetko, Igor V., additional, Thomas, Dennis, additional, Tkachenko, Valery, additional, Todeschini, Roberto, additional, Toma, Cosimo, additional, Tripodi, Ignacio, additional, Trisciuzzi, Daniela, additional, Tropsha, Alexander, additional, Varnek, Alexandre, additional, Vukovic, Kristijan, additional, Wang, Zhongyu, additional, Wang, Liguo, additional, Waters, Katrina M., additional, Wedlake, Andrew J., additional, Wijeyesakere, Sanjeeva J., additional, Wilson, Dan, additional, Xiao, Zijun, additional, Yang, Hongbin, additional, Zahoranszky-Kohalmi, Gergely, additional, Zakharov, Alexey V., additional, Zhang, Fagen F., additional, Zhang, Zhen, additional, Zhao, Tongan, additional, Zhu, Hao, additional, Zorn, Kimberley M., additional, Casey, Warren, additional, and Kleinstreuer, Nicole C., additional

Published
2021
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50. Unfolded Protein Response Inhibition Reduces Middle East Respiratory Syndrome Coronavirus-Induced Acute Lung Injury

Author

Sims, Amy C., primary, Mitchell, Hugh D., additional, Gralinski, Lisa E., additional, Kyle, Jennifer E., additional, Burnum-Johnson, Kristin E., additional, Lam, Mariam, additional, Fulcher, M. Leslie, additional, West, Ande, additional, Smith, Richard D., additional, Randell, Scott H., additional, Metz, Thomas O., additional, Sheahan, Timothy P., additional, Waters, Katrina M., additional, and Baric, Ralph S., additional

Published
2021
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