9 results on '"Tomas, Juan M."'
Search Results
2. Artificial receptors for the electrochemical detection of bacterial flagellar filaments from Proteus mirabilis
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Khan, M. Azizur R., Aires Cardoso, Ana Rita, F. Sales, M. Goreti, Merino, Susana, Tomás, Juan M., Rius, F. Xavier, and Riu, Jordi
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- 2017
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3. Chapter 18 - Bacterial adhesion
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Mendoza-Barberá, Elena, Merino, Susana, and Tomás, Juan M.
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- 2024
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4. Functional Genomic Screen Identifies Klebsiella pneumoniae Factors Implicated in Blocking Nuclear Factor κB (NF-κB) Signaling
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Tomás, Anna, Lery, Leticia, Regueiro, Verónica, Pérez-Gutiérrez, Camino, Martínez, Verónica, Moranta, David, Llobet, Enrique, González-Nicolau, Mar, Insua, Jose L., Tomas, Juan M., Sansonetti, Philippe J., Tournebize, Régis, and Bengoechea, José A.
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- 2015
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5. List of contributors
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Aizawa, Shin-Ichi, Alberdi, Pilar, Alexander, David C., Alía, Alberto, Allison, D.G., Amyes, Sebastian G.B., An, Haoran, Andrade, María J., Antelmann, Haike, Arias, Cesar A., Asensio, Miguel A., Axell-House, Dierdre B., Bae, Hee-Won, Baena, Laura Muñoz, Baig, Abdul Mannan, Bailey, Spenser O., Baize, Sylvain, Baldi, Pablo C., Barbosa, Angela Silva, Barbuddhe, Sukhadeo B., Bard, Emilie, Barry, Eileen M., Basarab, Gregory S., Beloborodova, N.V, Bermúdez, Elena, Bidmos, Fadil A., Bisgaard, Magne, Blakely, Garry W., Bloch, Evan, Boesen, Thias Oberg, Bose, Dipayan, Botero, Javier Enrique, Bouabe, Hicham, Bouchard, Michael J., Bozue, Joel A., Bradbury, Richard S., Brett Moreau, G., Cabezas-Cruz, Alejandro, Cai, Rong-Jun, Calderón, Enrique J., Cao, Boyang, Carmena, David, Carvalho, Eneas, Caulfield, Amanda D., Cen, Shan, Chai, Jong-Yil, Chamberland, Robin R., Champredon, David, Chan, Edward D., Charbon, Godefroid, Chato, Connor, Chelomina, G.N., Chen, Jingyu, Chen, Min, Chen, Shuyu, Chen, Suilin, Chen, Yanfei, Chen, Zhaoyuan, Cheng, Aimin, Cheng, Keding, Chiu, Charles Y., Cho, You-Hee, Christensen, Henrik, Chernevskaya, Ekaterina A., Contreras, Adolfo, Contreras, Marinela, Córdoba, Juan J., Córdoba, María G., Costa, Rita, Cote, Christopher K., Cui, Xiangling, Cui, Yujun, Dacal, Elena, Dammann, Allison N., Das, Shubhagata, Dashti, Alejandro, de la Fuente, José, de la Garza, Mireya, Delgado, Josué, Delgado-Cuesta, Juan, Deng, Haiteng, Deng, Li, Dey, Debajit, Dhama, Kuldeep, Diego, Juan García-Bernalt, Ding, Hao, Doern, Christopher D., Dorman, Charles J., Du, Zongmin, Dunbar, Sherry A., Duthie, Malcolm, Dybvig, Kevin F., Eakin, Ann E., Eallonardo, Samuel J., Eberly, Allison R., Echeverry, Adriana Jaramillo, Egland, Paul G., El Zowalaty, Mohamed E., Endsley, Janice Jones, Eom, Keeseon S., Evans, Benjamin A., Falkinham, Joseph O., Feng, Siwei, Feng, Yaoyu, Feng, Zongdi, Fernández-Soto, Pedro, Ferreira, Roux-Cil, Flores-Huerta, Nadia, Foster, Timothy J., Fox-Moon, Sandra M., Fraga, Tatiana Rodrigues, Fredricks, David N., Freitag, Nancy E., Frimodt-Møller, Jakob, Fuller, Risa, Ganesh, Balasubramanian, Gao, Ning, García-Carnero, Laura C., Garzetti, Debora, Geoghegan, Joan A., Ghenim, Raed, Giambartolomei, Guillermo H., Gilbert, Nicole M., Gillis, Thomas Phillip, Gladstone, Camilla A., Gómez-Gaviria, Manuela, Gómez-Marín, Jorge E., Gong, Tengfang, González, Ramón A., Gray-Owen, Scott D., Gu, Bing, Guzmán-Téllez, Paula, Hajal, Caroline, Han, Yanping, Hao, Yi, Harrington, Amanda T., Harris, Jason B., Harvill, Eric T., Hasan, S. Saif, He, Guang-Jun, He, Yongqun, Heffron, Jared D., Hidalgo, Paloma, Hindiyeh, Musa Y., Hreha, Teri N., Hu, Xiaoyu, Huang, Guanghua, Huang, Jiangqing, Huang, Liang, Huang, Shifeng, Huang, Xingxu, Huang, Xueting, Huang, Yilun, Huffman, Anthony, Humphreys, Tricia L., Hunstad, David A., Inglis, Timothy J.J., Isaac, Lourdes, Jacobs, Samantha E., Janowicz, Diane M., Jeon, Hyeong-Kyu, Ji, Quanjiang, Jia, Qi, Jia, Wei, Jin, Shouguang, Jneidi, Lama, Jose, Shinsmon, Jung, Bong-Kwang, Kattan, Randa, Kaushik, Rahul, Khare, Reeti, Kim, Eun Sook, Kirn, Thomas J., Koo, Hyun, Köster, Pamela C., Krause, Peter J., Kumar, Sanjai, Kupz, Andreas, Lambert, P.A., Lamont, Richard J., Langford, Paul R., Lebeaux, David, Legname, Giuseppe, Li, Bin, Li, Chunhao, Li, Fen, Li, Jun, Li, Lanjuan, Li, Ruofan, Li, Ruoyu, Li, Ting, Li, Yang-Yang, Li, Yanhua, Li, Zhuorong, Liang, Xiaomeng, Liao, Guojian, Lin, Ping, Ling, Yun, Liu, Bo, Liu, Dongyou, Liu, Guohua, Liu, Huidi, Liu, Jiafeng, Liu, Jintao, Liu, Qi, Liu, Shu-Lin, Liu, Taiping, Liu, Tongbao, Liu, Wei, Liu, Yan, Liu, Yanni, Liu, Yisong, Liu, Yuan, Løbner-Olesen, Anders, Loeffelholz, Michael, Lu, Hongzhou, Luna, Brian, Ma, Bingting, Ma, Chengying, Ma, Shuang, Ma, TianLi, Madan, Rajat, Mahle, Rachael E., Mahlen, Steven D., Malik, Satya Veer Singh, Malik, Yashpal Singh, Malvy, Denis, Mann, Barbara J., Marasini, Daya, Maris, Alexander S., Marjomäki, Varpu, Marjuki, Henju, Martín, Alberto, Martín, Irene, Martínez-Castillo, Moisés, Martínez-Pabón, María Cecilia, Mathison, Blaine A., Ma’ayeh, Showgy, McDowell, Andrew, McLaughlin, Stephanie E., McSheffrey, Gordon G., Medrano, Francisco J., Meehan, Conor J., Mehta, Dhwani, Mejía-Oquendo, Manuela, Melo-Cristino, José, Mendoza-Barberá, Elena, Meng, Xinan, Merino, Susana, Merritt, Adam J., Miller, Steve, Miller, William R., Minamino, Tohru, Mirzaei, Mohammadali Khan, Mora-Montes, Héctor M., Mortensen, Joel, Mostafa, Heba H., Muhsen, Khitam, Mujahed, Ahlam, Muro, Antonio, Murphy, Olwen C., Newton, Hayley J., Nguyen, April H., Nichols, Wright W., Niu, Siqiang, Núñez, Félix, Obregon, Dasiel, Okamoto, Akira, Okutani, Akiko, Olabode, Abayomi, Omar, Muna, Ong, Edison, Ouyang, Zhiming, Pacak, Christina A., Pacheco-Yépez, Judith, Palmer, John, Pang, Xiaoli, Paredes-Sabja, Daniel, Peng, Zhong, Peng, Zonggen, Pérez-Nevado, Francisco, Poon, Art, Pospíšilová, Petra, Potts, Caelin C., Pu, Qinqin, Pujic, Petar, Qi, Rui, Qian, Chenyun, Qian, Liu, Qin, Aiping, Qu, Fen, Rakin, Alexander, Ramesh, Ashwin, Ramirez, Mario, Rao, Yu, Ratner, Adam J., Rawool, Deepak B., Rehman, Asma, Ren, Jie, Ren, Ping, Retchless, Adam C., Robertson, Erle S., Rodríguez, Alicia, Rodriguez, Azucena, Rodríguez-Medina, Carolina, Rodriguez-Nava, Veronica, Rohde, Manfred, Romero-Rodríguez, Alba, Rosales-Morgan, Gabriela, Rosenkranz, Andrea L., Ruiz-Moyano, Santiago, Ruokolainen, Visa, Sabateen, Ali, Sahu, Radhakrishna, Sails, Andrew, Sang, Yu, Santana, Clarissa H., Santos, Jesus A., Santos, Renato L., Schmitz, Jonathan E., Serrano-Luna, Jesús, Shen, Jianzhong, Shen, Zhangqi, Shibayama, Mineko, Shirtliff, Mark E., Silva-Costa, Catarina, Silva-Olivares, Angélica, Singh, Niraj Kumar, Šmajs, David, Smith, Robert P., Smith, Sophie, Snyder, Lori A.S., Song, Yinggai, Soro, Aurea Simon, Spearman, Paul, Spellberg, Brad, Sprague, Lisa D., Stratton, Charles W., Strenk, Susan M., Strugnell, Richard A., Sun, Keer, Suo, Xun, Suzuki-Hatano, Silveli, Svärd, Staffan, Talbot, Elizabeth A., Tamez-Castrellón, Alma K., Tan, Nie, Tang, Cynthia Y., Tang, Yi-Wei, Tao, Jia, Tao, Lili, Terrero-Salcedo, David, Tharmalingam, Jayaraman, Thwe, Phyu M., Tiamani, Kawtar, Tomás, Juan M., Topaz, Nadav, Tsai, Ang-Chen, Tsalik, Ephraim L., Tuomanen, Elaine I., Turenne, Christine Y., Tyagi, Anuj, Uprety, Priyanka, Valour, Florent, van Hensbergen, Vincent P., Venkatesan, Arun, Vergis, Jess, Villar, Margarita, Vollmer, Waldemar, Waites, Ken B., Wan, Xiu-Feng, Wang, Guiqing, Wang, Lijun, Wang, Lin, Wang, Linqi, Wang, Xiangru, Wang, Xin, Wang, Xinjie, Wang, Ya-Ting, Wang, Yang, Wang, Yating, Weil, Ana A., Welkos, Susan L., Wengenack, Nancy L., Westblade, Lars F., Whitfield, Chris, Wu, Hui, Wu, Lijuan, Wu, Min, Wu, Yarong, Wu, Zhaowei, Xiang, Ye, Xiao, Di, Xiao, Li, Xiao, Lihua, Xu, Tao, Xu, Wenyue, Xu, Xinping, Xue, Jinling, Yadav, Jay Prakash, Yan, Junxiang, Yan, Yixin, Yang, Changmei, Yang, Ruifu, Yang, Ying, Yao, Kaihu, Yao, Yu-Feng, Yeakle, Kyle C., Yu, Demin, Yu, Hao, Yu, Xue-Jie, Yuan, Zhenghong, Zai, Wenjing, Zhang, Jianzhong, Zhang, Jing-Ren, Zhang, Lanyue, Zhang, Lijie, Zhang, Qiwei, Zhang, Wenbao, Zhang, Wenhong, Zhang, Xinxin, Zhao, Youbao, Zhou, Chuanmin, Zhu, Feng, Zhu, Jingting, and Zhu, Yongqun
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- 2024
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6. Characterizing bacterial glycoproteins with LC-MS
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Fulton, Kelly M., primary, Li, Jianjun, additional, Tomas, Juan M., additional, Smith, Jeffrey C., additional, and Twine, Susan M., additional
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- 2018
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7. High spatial resolution imaging of methane and other trace gases with the airborne Hyperspectral Thermal Emission Spectrometer (HyTES)
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Hulley, Glynn C, Hulley, Glynn C, Duren, Riley M, Hopkins, Francesca M, Hook, Simon J, Vance, Nick, Guillevic, Pierre, Johnson, William R, Eng, Bjorn T, Mihaly, Jonathan M, Jovanovic, Veljko M, Chazanoff, Seth L, Staniszewski, Zak K, Kuai, Le, Worden, John, Frankenberg, Christian, Rivera, Gerardo, Aubrey, Andrew D, Miller, Charles E, Malakar, Nabin K, Sanchez Tomas, Juan M, Holmes, Kendall T, Hulley, Glynn C, Hulley, Glynn C, Duren, Riley M, Hopkins, Francesca M, Hook, Simon J, Vance, Nick, Guillevic, Pierre, Johnson, William R, Eng, Bjorn T, Mihaly, Jonathan M, Jovanovic, Veljko M, Chazanoff, Seth L, Staniszewski, Zak K, Kuai, Le, Worden, John, Frankenberg, Christian, Rivera, Gerardo, Aubrey, Andrew D, Miller, Charles E, Malakar, Nabin K, Sanchez Tomas, Juan M, and Holmes, Kendall T
- Abstract
Currently large uncertainties exist associated with the attribution and quantification of fugitive emissions of criteria pollutants and greenhouse gases such as methane across large regions and key economic sectors. In this study, data from the airborne Hyperspectral Thermal Emission Spectrometer (HyTES) have been used to develop robust and reliable techniques for the detection and wide-area mapping of emission plumes of methane and other atmospheric trace gas species over challenging and diverse environmental conditions with high spatial resolution that permits direct attribution to sources. HyTES is a pushbroom imaging spectrometer with high spectral resolution (256 bands from 7.5 to 12 µm), wide swath (1–2 km), and high spatial resolution (∼ 2 m at 1 km altitude) that incorporates new thermal infrared (TIR) remote sensing technologies. In this study we introduce a hybrid clutter matched filter (CMF) and plume dilation algorithm applied to HyTES observations to efficiently detect and characterize the spatial structures of individual plumes of CH4, H2S, NH3, NO2, and SO2 emitters. The sensitivity and field of regard of HyTES allows rapid and frequent airborne surveys of large areas including facilities not readily accessible from the surface. The HyTES CMF algorithm produces plume intensity images of methane and other gases from strong emission sources. The combination of high spatial resolution and multi-species imaging capability provides source attribution in complex environments. The CMF-based detection of strong emission sources over large areas is a fast and powerful tool needed to focus on more computationally intensive retrieval algorithms to quantify emissions with error estimates, and is useful for expediting mitigation efforts and addressing critical science questions.
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- 2016
8. Aeromonas dhakensis, an Increasingly Recognized Human Pathogen.
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Po-Lin Chen, Lamy, Brigitte, Wen-Chien Ko, and Tomas, Juan M.
- Subjects
AEROMONAS ,DIARRHEA in children ,MICROBIAL virulence - Abstract
Aeromonas dhakensis was first isolated from children with diarrhea in Dhaka, Bangladesh and described in 2002. In the past decade, increasing evidence indicate this species is widely distributed in the environment and can cause a variety of infections both in human and animals, especially in coastal areas. A. dhakensis is often misidentified as A. hydrophila, A. veronii, or A. caviae by commercial phenotypic tests in the clinical laboratory. Correct identification relies on molecular methods. Increasingly used matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) may be able to identify Aeromonas specie rapidly and accurately. A. dhakensis has shown its potent virulence in different animal models and clinical infections. Although several virulence factors had been reported, no single mechanism is conclusive. Characteristically A. dhakensis is the principal species causing soft tissue infection and bacteremia, especially among patients with liver cirrhosis or malignancy. Of note, A. dhakensis bacteremia is more lethal than bacteremia due to other Aeromonas species. The role of this species in gastroenteritis remains controversial. Third generation cephalosporins and carbapenems should be used cautiously in the treatment of severe A. dhakensis infection due to the presence of AmpC ββ-lactamase and metallo-β-lactamase genes, and optimal regimens may be cefepime or fluoroquinolones. Studies of bacterial virulence factors and associated host responses may provide the chance to understand the heterogeneous virulence between species. The hypothesis A. dhakensis with varied geographic prevalence and enhanced virulence that compared to other Aeromonas species warrants more investigations. [ABSTRACT FROM AUTHOR]
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- 2016
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9. Keratitis due to Colletotrichum gloeosporioides and Herpesvirus reactivation
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Borrás-Máñez, María, Ortega-Evangelio, Leticia, Gil-Tomás, Jesús J., and Tomás, Juan M.
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- 2016
- Full Text
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