2020

[B3] Major antigenic site B of human influenza H3N2 viruses has an evolving local fitness landscape

Wu N. C., Otwinowski J., Thompson A. J., Nycholat C. M. Nourmohammad A and Wilson I. A., Nat Commun 11, 1233, 6. March 2020, https://doi.org/10.1038/s41467-020-15102-5

[A4] An analytical theory of balanced cellular growth

Dourado H., and Lercher M. J., Nat Commun 11, 1226, 6. March 2020, https://doi.org/10.1038/s41467-020-14751-w

[B3] The size of the immune repertoire of bacteria

Bradde S., Nourmohammad A., Goyal S., and Balasubramanian V., PNAS:201903666, 18. February 2020, https://doi.org/10.1073/pnas.1903666117

2019

[A3][A6] Horizontal gene transfer overrides mutation in Escherichia coli colonizing the mammalian gut

Frazão N., Sousa A., Lässig M., and Gordo I., PNAS:201906958, 20. August 2019, https://doi.org/10.1073/pnas.1906958116

[B3] Fierce Selection and Interference in B-Cell Repertoire Response to Chronic HIV-1

Nourmohammad A., Otwinowski J., Łuksza M., Mora T., M. Walczak A., Molecular Biology and Evolution, msz143, 18. June 2019, https://doi.org/10.1093/molbev/msz143

[B2] Survival of the simplest in microbial evolution

Held T., Klemmer D., Lässig M., Nature Communications 10: 2472, 6. June 2019, https://doi.org/10.1038/s41467-019-10413-8

2018

[A4] Each of 3,323 metabolic innovations in the evolution of E. coli arose through the horizontal transfer of a single DNA segment

Pang T. J., Lercher M. J., PNAS, 18. December 2018, https://doi.org/10.1073/pnas.1718997115

[A4] Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

Heckmann D., Lloyd C. J., Mih N., Ha Y., Zielinski D. C., Haiman Z. B., Desouki A. A., Lercher M. J., Palsson B. O., Nature Communications 9: 5252, 7. December 2018, https://doi.org/10.1038/s41467-018-07652-6

[A4] Alleles of a gene differ in pleiotropy, often mediated through currency metabolite production, in E. coli and yeast metabolic simulations

Alzoubi D., Desouki A. A., Lercher M. J., Scientific Reports 8: 17252, 22. November 2018, https://doi.org/10.1038/s41598-018-35092-1

[A3] 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

[B8] Genomic Characterization of TP53–Wild-Type Esophageal Carcinoma1

Quaas A., Heydt C., Gebauer F., Alakus H., Loeser H., Büttner R., Hillmer A., Bruns C., Merkelbach-Bruse S., Zander T., Frommolt P., Transl Oncol. 12: 154-161, 11. October 2018, https://doi.org/10.1016/j.tranon.2018.09.007

[B8] Impact of TP53 mutation status on systemic treatment outcome in ALK-rearranged non-small-cell lung cancer

Kron A., Alidousty C., Scheffler M., Merkelbach-Bruse S., Seidel D., Riedel R., Ihle M. A., Michels S., Nogova L., Fassunke J., Heydt C., Kron F., Ueckeroth F., Serke M., Krüger S., Grohe C., Koschel D., Benedikter J., Kaminsky B., Schaaf B., Braess J., Sebastian M., Kambartel K. O., Thomas R., Zander T., Schultheis A. M., Büttner R., Wolf J., Ann Oncol. 29: 2068-2075, 1. October 2018, https://doi.org/10.1093/annonc/mdy333

[A2] Rare beneficial mutations cannot halt Muller's ratchet in spatial populations           

Park S.-C., Klatt P., Krug J., EPL 123: 48001, 3. September 2018, http://stacks.iop.org/0295-5075/123/i=4/a=48001

[A2] The utility of fitness landscapes and big data for predicting evolution

de Visser, J. A. G. M., Santiago F. E., Fragata I., Matuszewski S., Heredity 121: 401–405, 20. August 2018, https://doi.org/10.1038/s41437-018-0128-4

[A2] Ecology dictates evolution? About the importance of genetic and ecological constraints in adaptation

de Vos M. G. J., Schoustra S. E., de Visser J. A. G. M., EPL 122: 58002, 17. July 2018, http://stacks.iop.org/0295-5075/122/i=5/a=58002

[A2] Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1 β-lactamase

Zwart M. P., Schenk M. F., Hwang S., Koopmanschap B., de Lange N., van de Pol L., Nga T. T. T., Szendro I. G., Krug J., de Visser J. A. G. M., Heredity 121: 406–421, 2. July 2018, https://doi.org/10.1038/s41437-018-0104-z

[B8] Genetic instability and recurrent MYC amplification in ALK‐translocated NSCLC: a central role of TP53 mutations

Alidousty C., Baar T., Martelotto L. G., Heydt C., Wagener S., Fassunke J., Duerbaum N., Scheel A. H., Frank S., Holz B., Binot E., Kron A., Merkelbach-Bruse S., Ihle M. A., Wolf J., Büttner R., Schultheis A.M., J Pathol. 246: 67-76, 9. June 2018, https://doi.org/10.1002/path.5110

[B7] Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers

Guo T., Li L., Zhong Q., Rupp N.J., Charmpi K., Wong C.E., Wagner U., Rueschoff J.H., Jochum W., Fankhauser C.D., Saba K., Poyet C., Wild P.J., Aebersold R., Beyer A., Life Science Alliance, 29. May 2018, https://doi.org/10.26508/lsa.201800042

[B5] Method for identification of condition-associated public antigen receptor sequences

Pogorelyy M.V., Minervina A.A., Chudakov D.M., Mamedov I.Z., Lebedev Y.B., Mora T., Walczak A.M., eLife 2018;7:e33050, 13. May 2018,               https://doi.org/10.7554/eLife.33050

[B4] The short-lived African turquoise killifish (Nothobranchius furzeri): a new model system for research on ageing.
In Conn's Handbook of Models of Human Aging

Muck J., Kean S., Valenzano D.R.,Academic Press, 2. May 2018, ISBN: 9780128113530

[B4] A Protocol for Laboratory Housing of Turquoise Killifish (Nothobranchius furzeri)

Dodzian J., Kean S., Seidel J., Valenzano D.R., J. Vis. Exp. (134) e57073, 11. April 2018, https://doi.org/10.3791/57073

[A2] Universality Classes of Interaction Structures for NK Fitness Landscapes

Hwang S., Schmiegelt B., Ferretti L., Krug J., J Stat Phys 172: 226, 13. February 2018, https://doi.org/10.1007/s10955-018-1979-z

[B5] High-throughput immune repertoire analysis with IGoR

Marcou Q., Mora T., Walczak A.M., Nature Communications Volume 9:561, 8. February 2018, https://doi.org/10.1038/s41467-018-02832-w

[B7] regNet: an R package for network-based propagation of gene expression alterations

Seifert M., Beyer A., Bioinformatics Volume 34 Issue 2:308–311, 15. January 2018, https://doi.org/10.1093/bioinformatics/btx544

[A2] Local Fitness Landscapes Predict Yeast Evolutionary Dynamics in Directionally Changing Environments

Gorter F. A., Aarts M. G. M, Zwaan B. J., de Visser J. A. G. M., Genetics 208: 307-322, 1. January 2018, https://doi.org/10.1534/genetics.117.300519