Project B2
Predicting viral-immune co-evolution
Michael Lässig, U Cologne | web | email
We focus on phenotypic fitness models for viral pathogens based on antigen-antibody interactions. These models predict near-future mutations of the influenza virus, as well as vaccination efficacy and feedbacks of vaccination on viral evolution. The models are informed by escape evolution from human antisera and monoclonal antibodies, in collaboration with project B1.
Predictability in Evolution
Collaborative Research Center 1310
Publications
Population immunity predicts evolutionary trajectories of SARS-CoV-2
Meijers M., Ruchnewitz D., Eberhardt J., Łuksza M., Lässig M., Cell, 23. October 2023, https://doi.org/10.1016/j.cell.2023.09.022
Steering and controlling evolution — from bioengineering to fighting pathogens
Lässig M., Mustonen V., Nourmohammad A., Nat Rev Genet, 3. July 2023, https://doi.org/10.1038/s41576-023-00623-8
Effective high-throughput RT-qPCR screening for SARS-CoV-2 infections in children
Dewald F., Suárez I., Johnen R., Grossbach J., Moran-Tovar R., Steger G., Joachim A., Rubio G.H., Fries M. , Behr F., Kley J., Lingnau A., Kretschmer A., Gude C., Baeza-Flores G., Laveaga del Valle D., Roblero-Hernandez A., Magana-Cerino J., Hernandez A.T., Ruiz-Quinones J., Schega K., Linne V., Junker L., Wunsch M., Heger E., Knops E., Di Cristanziano V., Meyer M., Hünseler C., Weber L.T., Lüers L.C., Quade G., Wisplinghoff H., Tiemann C., Zotz R., Jomaa H., Pranada A., Herzum I., Cullen P., Schmitz F.J., Philipsen P., Kirchner G., Knabbe C., Hellmich M., Buess M., Wolff A., Kossow A., Niessen J., Jeworutzki S., Schräpler J.-P., Lässig M., Dötsch J., Fätkenheuer D., Kaiser R., Beyer A., Rybniker J., Klein F., Nature Communications, 25. June 2022, https://www.nature.com/articles/s41467-022-30664-2
Robilotti E.V., Whiting K., Lucca A., Poon C., Guest R., McMillen T., Jani K., Solovyov A., Kelson S., Browne K., Freeswick S., Hohl T.M., Korenstein D., Ruchnewitz D., Lässig M., Łuksza M., Greenbaum B., Seshan V.E., Babady N.E., Kamboj M., Clinical Infectious Diseases ciab886, 13. October 2021, https://doi.org/10.1093/cid/ciab886
Superspreaders drive the largest outbreaks of hospital onset COVID-19 infections
Illingworth C.J.R., Hamilton W.L., Warne B., Routledge M., Popay A., Jackson C., Fieldman T., Meredith L.W., Houldcroft C.J., eLife 10:e67308, 24. August 2021, https://doi.org/10.7554/eLife.67308
Predicting in vivo escape dynamics of HIV-1 from a broadly neutralizing antibody
Meijers M., Vanshylla K., Gruell H., Klein F., Lässig M., PNAS 118 (30) e2104651118, 27. July 2021, https://doi.org/10.1073/pnas.2104651118
Antigenic waves of virus–immune coevolution
Marchi J., Lässig M., Walczak A.M., Mora T., PNAS 118 (27) e2103398118, 6. July 2021, https://doi.org/10.1073/pnas.2103398118
Eco-evolutionary control of pathogens
Lässig M., Mustonen V., PNAS:201920263 , 31. July 2020, https://doi.org/10.1073/pnas.1920263117
Gene expression variability across cells and species shapes innate immunity
Hagai T., Chen X., Miragaia R. J., Rostom R., Gomes T., Kunowska N., Henriksson J., Park J.-E., Proserpio V., Donati G., Bossini-Castillo L., Vieira Braga F. A., Naamati G., Fletcher J., Stephenson E., Vegh P., Trynka G., Kondova I., Dennis M., Haniffa M., Nourmohammad A., Lässig M., Teichmann S. A., Nature 563: 197 - 202, 24. October 2018, https://doi.org/10.1038/s41586-018-0657-2
Lässig M., Mustonen V., Walczak A., Nature Ecol. Evol. 1:0077, 21. February 2017, http://dx.doi.org/10.1038/s41559-017-0077
A predictive fitness model for influenza
Luksza M., Lässig M., Nature 507:57-61, 26. February 2014, http://dx.doi.org/10.1038/nature13087