Main Research Lines

Evolution of new genes

We are investigating the mechanisms by which new genes originate with a special emphasis on genes originated de novo from previously non-coding genomic regions. The research is strongly based on the analysis of transcriptomics and translatomics (RiboSeq) data from related species and individuals. We are examining different model systems, including human cell lines and yeast isolates. Additionally, we are taking advantage of long read transcriptomics technologies to learn about the changes in gene structure and expression across evolutionary time. Research in this area is currently supported by an European Research Council Advanced Grant (NovoGenePop) and a grant from the Spanish Ministry of Science and Innovation (PID2021-122726NB-I00).

Collaborators: Lucas Wange (UPF/IMIM), Tomàs Marqués-Bonet (UPF), Elena Hidalgo (UPF), Xavier Messeguer (UPC), Joseph Schacherer (University of Strasbourg).

Recent publications:

Blevins, W.R., Ruiz-Orera, J., Messeguer, X., Blasco-Moreno, B., Villanueva-Cañas, J-L., Espinar, L., Díez, J., Carey, L.B., Albà, M.M. (2021). Uncovering de novo gene birth in yeast using deep transcriptomics. Nature Communications 12:604.

Ruiz-Orera, J., Albà, M.M. (2019). Translation of small open reading frames: roles in regulation and evolutionary innovation. Trends in Genetics 35: 186-198.

Ruiz-Orera, J., Verdaguer-Grau, P., Villanueva-Cañas, J-l., Messeguer, X., Albà, M.M. (2018). Translation of neutrally evolving peptides provides a basis for de novo gene evolution. Nature Ecology and Evolution 2:890-896.

Villanueva-Cañas, J-L. Ruiz-Orera, J., M.I., Gallo, M., Andreu, D., Albà, M.M. (2017) New genes and functional innovation in mammals. Genome Biology and Evolution 9: 1886–1900.

Ruiz-Orera, J., Hernandez-Rodriguez, J., Chiva, C., Sabidó, E., Kondova, I., Bontrop, R., Marqués-Bonet, T., Albà, M.M (2015) Origins of de novo genes in human and chimpanzee. Plos Genetics, 11 (12), pp. e1005721.

Ruiz-Orera, J., Messeguer, X., Subirana J.A., Albà M.M. (2014) Long non-coding RNAs as a source of new peptides. eLife, 3:e03523.

The neoantigen landscape of cancer cells

We are investigating how the accumulation of mutations during cancer progression, as well as the translation of non-canonical ORFs in cancer-specific transcripts, can result in the production of neoantigens with the capacity to trigger an immune response against the cancer cells. We are also developing machine learning methods to improve the prediction of the response to immunotherapy using extensive whole exome sequencing and transcriptomics data. This research is funded by the BBVA Foundation and the Institute of Health Carlos III (Spanish Government).

Collaborators: Júlia Perera-Bel (IMIM), Robert Castelo (UPF), Joaquim Bellmunt (IMIM/Harvard), Puri Fortes (UNAV).