Publikationen von M. Arend

Yuan, Y. Z., Iannetta, A. A., Kim, M., Sadecki, P. W., Arend, M., Tsichla, A., Ruiz-Sola, M. A., Kepesidis, G., Falconet, D., Thevenon, E., Tardif, M., Brugière, S., Couté, Y., Kleman, J. P., Sizova, I., Schilling, M., Jouhet, J., Hegemann, P., Li-Beisson, Y., Nikoloski, Z., Bastien, O., Hicks, L. M. & Petroutsos, D. Phototropin connects blue light perception to starch metabolism in green algae. Nature Communications 16, (2025).

Arend, M., Yuan, Y., Ruiz-Sola, M. Á., Omranian, N., Nikoloski, Z. & Petroutsos, D. Widening the landscape of transcriptional regulation of green algal photoprotection. Nature Communications 14, (2023).

Tan, Q. W., Lim, P. K., Chen, Z., Pasha, A., Provart, N., Arend, M., Nikoloski, Z. & Mutwil, M. Cross-stress gene expression atlas of Marchantia polymorpha reveals the hierarchy and regulatory principles of abiotic stress responses. Nature Communications 14, (2023).

Moura Ferreira, M. A. D., Wendering, P., Arend, M., Batista da Silveira, W. & Nikoloski, Z. Accurate prediction of in vivo protein abundances by coupling constraint-based modelling and machine learning. Metabolic Engineering 80, 184–192 (2023).

Arend, M., Zimmer, D., Xu, R., Sommer, F., Mühlhaus, T. & Nikoloski, Z. Proteomics and constraint-based modelling reveal enzyme kinetic properties of Chlamydomonas reinhardtii on a genome scale. Nature Communications 14, (2023).

Wendering, P., Arend, M., Razaghi-Moghadam, Z. & Nikoloski, Z. Data integration across conditions improves turnover number estimates and metabolic predictions. Nature Communications 14, (2023).

Águila Ruiz-Sola, M., Flori, S., Yuan, Y., Villain, G., Sanz-Luque, E., Redekop, P., Tokutsu, R., Küken, A., Tsichla, A., Kepesidis, G., Allorent, G., Arend, M., Iacono, F., Finazzi, G., Hippler, M., Nikoloski, Z., Minagawa, J., Grossman, A. R. & Petroutsos, D. Light-independent regulation of algal photoprotection by CO2 availability. Nature Communications 14, (2023).

Arend, M., Paulitz, E., Hsieh, Y. & Nikoloski, Z. Scaling metabolic model reconstruction up to the pan-genome level: A systematic review and prospective applications to photosynthetic organisms. Metabolic Engineering 90, 67–77 (2025).