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Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina.

Frontiers in medicine

Torres C, Mojsiejczuk L, Acuña D, Alexay S, Amadio A, Aulicino P, Debat H, Fay F, Fernández F, Giri AA, Goya S, König G, Lucero H, Nabaes Jodar M, Pianciola L, Sfalcin JA, Acevedo RM, Bengoa Luoni S, Bolatti EM, Brusés B, Cacciabue M, Casal PE, Cerri A, Chouhy D, Dus Santos MJ, Eberhardt MF, Fernandez A, Fernández PDC, Fernández Do Porto D, Formichelli L, Gismondi MI, Irazoqui M, Campos ML, Lusso S, Marquez N, Muñoz M, Mussin J, Natale M, Oria G, Pisano MB, Posner V, Puebla A, Re V, Sosa E, Villanova GV, Zaiat J, Zunino S, Acevedo ME, Acosta J, Alvarez Lopez C, Álvarez ML, Angeleri P, Angelletti A, Arca M, Ayala NA, Barbas G, Bertone A, Bonnet A, Bourlot I, Cabassi V, Castello A, Castro G, Cavatorta AL, Ceriani C, Cimmino C, Cipelli J, Colmeiro M, Cordero A, Cristina C, Di Bella S, Dolcini G, Ercole R, Espasandin Y, Espul C, Falaschi A, Fernandez Moll F, Foussal MD, Gatelli A, Goñi S, Jofré ME, Jaramillo J, Labarta N, Lacaze MA, Larreche R, Leiva V, Levin G, Luczak E, Mandile M, Marino G, Massone C, Mazzeo M, Medina C, Monaco B, Montoto L, Mugna V, Musto A, Nadalich V, Nieto MV, Ojeda G, Piedrabuena AC, Pintos C, Pozzati M, Rahhal M, Rechimont C, Remes Lenicov F, Rompato G, Seery V, Siri L, Spina J, Streitenberger C, Suárez A, Suárez J, Sujansky P, Talia JM, Theaux C, Thomas G, Ticeira M, Tittarelli E, Toro R, Uez O, Zaffanella MB, Ziehm C, Zubieta M, Mistchenko AS, Valinotto L, Viegas M.
PMID: 34957143
Front Med (Lausanne). 2021 Dec 10;8:755463. doi: 10.3389/fmed.2021.755463. eCollection 2021.

SARS-CoV-2 variants with concerning characteristics have emerged since the end of 2020. Surveillance of SARS-CoV-2 variants was performed on a total of 4,851 samples from the capital city and 10 provinces of Argentina, during 51 epidemiological weeks (EWs) that...

Cite
Torres C, Mojsiejczuk L, Acuña D, et al. Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina. Front Med (Lausanne). 2021;8:755463doi: 10.3389/fmed.2021.755463.
Torres, C., Mojsiejczuk, L., Acuña, D., Alexay, S., Amadio, A., Aulicino, P., Debat, H., Fay, F., Fernández, F., Giri, A. A., Goya, S., König, G., Lucero, H., Nabaes Jodar, M., Pianciola, L., Sfalcin, J. A., Acevedo, R. M., Bengoa Luoni, S., Bolatti, E. M., Brusés, B., Cacciabue, M., Casal, P. E., Cerri, A., Chouhy, D., Dus Santos, M. J., Eberhardt, M. F., Fernandez, A., Fernández, P. D. C., Fernández Do Porto, D., Formichelli, L., Gismondi, M. I., Irazoqui, M., Campos, M. L., Lusso, S., Marquez, N., Muñoz, M., Mussin, J., Natale, M., Oria, G., Pisano, M. B., Posner, V., Puebla, A., Re, V., Sosa, E., Villanova, G. V., Zaiat, J., Zunino, S., Acevedo, M. E., Acosta, J., Alvarez Lopez, C., Álvarez, M. L., Angeleri, P., Angelletti, A., Arca, M., Ayala, N. A., Barbas, G., Bertone, A., Bonnet, A., Bourlot, I., Cabassi, V., Castello, A., Castro, G., Cavatorta, A. L., Ceriani, C., Cimmino, C., Cipelli, J., Colmeiro, M., Cordero, A., Cristina, C., Di Bella, S., Dolcini, G., Ercole, R., Espasandin, Y., Espul, C., Falaschi, A., Fernandez Moll, F., Foussal, M. D., Gatelli, A., Goñi, S., Jofré, M. E., Jaramillo, J., Labarta, N., Lacaze, M. A., Larreche, R., Leiva, V., Levin, G., Luczak, E., Mandile, M., Marino, G., Massone, C., Mazzeo, M., Medina, C., Monaco, B., Montoto, L., Mugna, V., Musto, A., Nadalich, V., Nieto, M. V., Ojeda, G., Piedrabuena, A. C., Pintos, C., Pozzati, M., Rahhal, M., Rechimont, C., Remes Lenicov, F., Rompato, G., Seery, V., Siri, L., Spina, J., Streitenberger, C., Suárez, A., Suárez, J., Sujansky, P., Talia, J. M., Theaux, C., Thomas, G., Ticeira, M., Tittarelli, E., Toro, R., Uez, O., Zaffanella, M. B., Ziehm, C., Zubieta, M., Mistchenko, A. S., Valinotto, L., & Viegas, M. (2021). Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina. Frontiers in medicine, 8755463. https://doi.org/10.3389/fmed.2021.755463
Torres, Carolina, et al. "Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina." Frontiers in medicine vol. 8 (2021): 755463. doi: https://doi.org/10.3389/fmed.2021.755463
Torres C, Mojsiejczuk L, Acuña D, Alexay S, Amadio A, Aulicino P, Debat H, Fay F, Fernández F, Giri AA, Goya S, König G, Lucero H, Nabaes Jodar M, Pianciola L, Sfalcin JA, Acevedo RM, Bengoa Luoni S, Bolatti EM, Brusés B, Cacciabue M, Casal PE, Cerri A, Chouhy D, Dus Santos MJ, Eberhardt MF, Fernandez A, Fernández PDC, Fernández Do Porto D, Formichelli L, Gismondi MI, Irazoqui M, Campos ML, Lusso S, Marquez N, Muñoz M, Mussin J, Natale M, Oria G, Pisano MB, Posner V, Puebla A, Re V, Sosa E, Villanova GV, Zaiat J, Zunino S, Acevedo ME, Acosta J, Alvarez Lopez C, Álvarez ML, Angeleri P, Angelletti A, Arca M, Ayala NA, Barbas G, Bertone A, Bonnet A, Bourlot I, Cabassi V, Castello A, Castro G, Cavatorta AL, Ceriani C, Cimmino C, Cipelli J, Colmeiro M, Cordero A, Cristina C, Di Bella S, Dolcini G, Ercole R, Espasandin Y, Espul C, Falaschi A, Fernandez Moll F, Foussal MD, Gatelli A, Goñi S, Jofré ME, Jaramillo J, Labarta N, Lacaze MA, Larreche R, Leiva V, Levin G, Luczak E, Mandile M, Marino G, Massone C, Mazzeo M, Medina C, Monaco B, Montoto L, Mugna V, Musto A, Nadalich V, Nieto MV, Ojeda G, Piedrabuena AC, Pintos C, Pozzati M, Rahhal M, Rechimont C, Remes Lenicov F, Rompato G, Seery V, Siri L, Spina J, Streitenberger C, Suárez A, Suárez J, Sujansky P, Talia JM, Theaux C, Thomas G, Ticeira M, Tittarelli E, Toro R, Uez O, Zaffanella MB, Ziehm C, Zubieta M, Mistchenko AS, Valinotto L, Viegas M. Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina. Front Med (Lausanne). 2021 Dec 10;8:755463. doi: 10.3389/fmed.2021.755463. eCollection 2021. PMID: 34957143; PMCID: PMC8703000.
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Confocal-based fluorescence fluctuation spectroscopy with a SPAD array detector.

Light, science & applications

Slenders E, Castello M, Buttafava M, Villa F, Tosi A, Lanzanò L, Koho SV, Vicidomini G.
PMID: 33542179
Light Sci Appl. 2021 Feb 05;10(1):31. doi: 10.1038/s41377-021-00475-z.

The combination of confocal laser-scanning microscopy (CLSM) and fluorescence fluctuation spectroscopy (FFS) is a powerful tool in studying fast, sub-resolution biomolecular processes in living cells. A detector array can further enhance CLSM-based FFS techniques, as it allows the simultaneous...

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Slenders E, Castello M, Buttafava M, et al. Confocal-based fluorescence fluctuation spectroscopy with a SPAD array detector. Light Sci Appl. 2021;10(1):31doi: 10.1038/s41377-021-00475-z.
Slenders, E., Castello, M., Buttafava, M., Villa, F., Tosi, A., Lanzanò, L., Koho, S. V., & Vicidomini, G. (2021). Confocal-based fluorescence fluctuation spectroscopy with a SPAD array detector. Light, science & applications, 10(1), 31. https://doi.org/10.1038/s41377-021-00475-z
Slenders, Eli, et al. "Confocal-based fluorescence fluctuation spectroscopy with a SPAD array detector." Light, science & applications vol. 10,1 (2021): 31. doi: https://doi.org/10.1038/s41377-021-00475-z
Slenders E, Castello M, Buttafava M, Villa F, Tosi A, Lanzanò L, Koho SV, Vicidomini G. Confocal-based fluorescence fluctuation spectroscopy with a SPAD array detector. Light Sci Appl. 2021 Feb 05;10(1):31. doi: 10.1038/s41377-021-00475-z. PMID: 33542179; PMCID: PMC7862647.
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Three independent evolutionary events of sequestrate .

Fungal systematics and evolution

Lebel T, Cooper JA, Castellano MA, Nuytinck J.
PMID: 35005569
Fungal Syst Evol. 2021 Dec;8:9-25. doi: 10.3114/fuse.2021.08.02. Epub 2021 Jun 02.

Three Australian species with sequestrate basidiome forms are recorded for the first time in the genus

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Lebel T, Cooper JA, Castellano MA, et al. Three independent evolutionary events of sequestrate . Fungal Syst Evol. 2021;8:9-25doi: 10.3114/fuse.2021.08.02.
Lebel, T., Cooper, J. A., Castellano, M. A., & Nuytinck, J. (2021). Three independent evolutionary events of sequestrate . Fungal systematics and evolution, 89-25. https://doi.org/10.3114/fuse.2021.08.02
Lebel, T, et al. "Three independent evolutionary events of sequestrate ." Fungal systematics and evolution vol. 8 (2021): 9-25. doi: https://doi.org/10.3114/fuse.2021.08.02
Lebel T, Cooper JA, Castellano MA, Nuytinck J. Three independent evolutionary events of sequestrate . Fungal Syst Evol. 2021 Dec;8:9-25. doi: 10.3114/fuse.2021.08.02. Epub 2021 Jun 02. PMID: 35005569; PMCID: PMC8687060.
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Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City.

Journal of clinical medicine

Zucker J, Gomez-Simmonds A, Purpura LJ, Shoucri S, LaSota E, Morley NE, Sovic BW, Castellon MA, Theodore DA, Bartram LL, Miko BA, Scherer ML, Meyers KA, Turner WC, Kelly M, Pavlicova M, Basaraba CN, Baldwin MR, Brodie D, Burkart KM, Bathon J, Uhlemann AC, Yin MT, Castor D, Sobieszczyk ME.
PMID: 34441819
J Clin Med. 2021 Aug 11;10(16). doi: 10.3390/jcm10163523.

BACKGROUND: The progression of clinical manifestations in patients with coronavirus disease 2019 (COVID-19) highlights the need to account for symptom duration at the time of hospital presentation in decision-making algorithms.METHODS: We performed a nested case-control analysis of 4103 adult...

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Zucker J, Gomez-Simmonds A, Purpura LJ, et al. Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. J Clin Med. 2021;10(16)doi: 10.3390/jcm10163523.
Zucker, J., Gomez-Simmonds, A., Purpura, L. J., Shoucri, S., LaSota, E., Morley, N. E., Sovic, B. W., Castellon, M. A., Theodore, D. A., Bartram, L. L., Miko, B. A., Scherer, M. L., Meyers, K. A., Turner, W. C., Kelly, M., Pavlicova, M., Basaraba, C. N., Baldwin, M. R., Brodie, D., Burkart, K. M., Bathon, J., Uhlemann, A. C., Yin, M. T., Castor, D., & Sobieszczyk, M. E. (2021). Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. Journal of clinical medicine, 10(16), . https://doi.org/10.3390/jcm10163523
Zucker, Jason, et al. "Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City." Journal of clinical medicine vol. 10,16 (2021). doi: https://doi.org/10.3390/jcm10163523
Zucker J, Gomez-Simmonds A, Purpura LJ, Shoucri S, LaSota E, Morley NE, Sovic BW, Castellon MA, Theodore DA, Bartram LL, Miko BA, Scherer ML, Meyers KA, Turner WC, Kelly M, Pavlicova M, Basaraba CN, Baldwin MR, Brodie D, Burkart KM, Bathon J, Uhlemann AC, Yin MT, Castor D, Sobieszczyk ME. Supervised Machine Learning Approach to Identify Early Predictors of Poor Outcome in Patients with COVID-19 Presenting to a Large Quaternary Care Hospital in New York City. J Clin Med. 2021 Aug 11;10(16). doi: 10.3390/jcm10163523. PMID: 34441819; PMCID: PMC8397083.
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Uncovering viral RNA-host cell interactions on a proteome-wide scale.

Trends in biochemical sciences

Iselin L, Palmalux N, Kamel W, Simmonds P, Mohammed S, Castello A.
PMID: 34509361
Trends Biochem Sci. 2022 Jan;47(1):23-38. doi: 10.1016/j.tibs.2021.08.002. Epub 2021 Sep 09.

RNA viruses interact with a wide range of cellular RNA-binding proteins (RBPs) during their life cycle. The prevalence of these host-virus interactions has been highlighted by new methods that elucidate the composition of viral ribonucleoproteins (vRNPs). Applied to 11...

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Iselin L, Palmalux N, Kamel W, et al. Uncovering viral RNA-host cell interactions on a proteome-wide scale. Trends Biochem Sci. 2021;47(1):23-38doi: 10.1016/j.tibs.2021.08.002.
Iselin, L., Palmalux, N., Kamel, W., Simmonds, P., Mohammed, S., & Castello, A. (2022). Uncovering viral RNA-host cell interactions on a proteome-wide scale. Trends in biochemical sciences, 47(1), 23-38. https://doi.org/10.1016/j.tibs.2021.08.002
Iselin, Louisa, et al. "Uncovering viral RNA-host cell interactions on a proteome-wide scale." Trends in biochemical sciences vol. 47,1 (2022): 23-38. doi: https://doi.org/10.1016/j.tibs.2021.08.002
Iselin L, Palmalux N, Kamel W, Simmonds P, Mohammed S, Castello A. Uncovering viral RNA-host cell interactions on a proteome-wide scale. Trends Biochem Sci. 2022 Jan;47(1):23-38. doi: 10.1016/j.tibs.2021.08.002. Epub 2021 Sep 09. PMID: 34509361.
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Superhuman cell death detection with biomarker-optimized neural networks.

Science advances

Linsley JW, Linsley DA, Lamstein J, Ryan G, Shah K, Castello NA, Oza V, Kalra J, Wang S, Tokuno Z, Javaherian A, Serre T, Finkbeiner S.
PMID: 34878844
Sci Adv. 2021 Dec 10;7(50):eabf8142. doi: 10.1126/sciadv.abf8142. Epub 2021 Dec 08.

[Figure: see text].

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Linsley JW, Linsley DA, Lamstein J, et al. Superhuman cell death detection with biomarker-optimized neural networks. Sci Adv. 2021;7(50):eabf8142doi: 10.1126/sciadv.abf8142.
Linsley, J. W., Linsley, D. A., Lamstein, J., Ryan, G., Shah, K., Castello, N. A., Oza, V., Kalra, J., Wang, S., Tokuno, Z., Javaherian, A., Serre, T., & Finkbeiner, S. (2021). Superhuman cell death detection with biomarker-optimized neural networks. Science advances, 7(50), eabf8142. https://doi.org/10.1126/sciadv.abf8142
Linsley, Jeremy W, et al. "Superhuman cell death detection with biomarker-optimized neural networks." Science advances vol. 7,50 (2021): eabf8142. doi: https://doi.org/10.1126/sciadv.abf8142
Linsley JW, Linsley DA, Lamstein J, Ryan G, Shah K, Castello NA, Oza V, Kalra J, Wang S, Tokuno Z, Javaherian A, Serre T, Finkbeiner S. Superhuman cell death detection with biomarker-optimized neural networks. Sci Adv. 2021 Dec 10;7(50):eabf8142. doi: 10.1126/sciadv.abf8142. Epub 2021 Dec 08. PMID: 34878844; PMCID: PMC8654296.
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Showing 133 to 138 of 138 entries