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

Clinical and Genomic Characterization of SARS CoV-2 infections in mRNA Vaccinated Health Care Personnel in New York City

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

Predicting evolution

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

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