David Bradley, PhD

Postdoctoral fellow / Evolutionary systems biology
e-mail:
david.bradley.1 [at] ulaval.ca

Biography

I was born in Middlesbrough, which is a large industrial town in the North East of England. At the age of 18, I moved down to Cambridge to study Natural Sciences at the University of Cambridge. After four years, I graduated with a bachelor’s degree (BA) in genetics and a master’s degree (MSci) in systems biology. I then stayed on at the University of Cambridge to begin a four-year doctoral training program (DTP) with a 1+3 (master’s + PhD) structure. I undertook lab rotations in my first year to earn my second master’s degree (MRes) in biological sciences.

In 2015, I joined the lab of Dr. Pedro Beltrao at EMBL-EBI to begin my PhD studies. The focus of my PhD was on the evolution of protein kinase specificity at the active site. I gained experience in structural bioinformatics, molecular evolution, and the analysis of short linear motifs (SLiMs). I defended my PhD thesis in 2018 and graduated in 2019 with a PhD. Midway through my PhD, I undertook an internship at EMBO (Heidelberg, Germany) for three months with the editors of the Molecular Systems Biology journal.

Research interests

I am interested in evolutionary approaches to systems biology, and especially in the context of signaling. In particular, I would like to understand how constraints upon natural selection have shaped the evolution of signaling networks. Most kinase-substrate networks, for example, feature non-functional interactions between kinase and substrate that were not selected for during evolution. My goal is to understand why such spurious interactions were not simply purged by selection as these networks evolved. To address this question, I will combine approaches from bioinformatics, population genetics, and systems biology.

Publications

Evans-Yamamoto D*, Dubé AK*, Saha G*, Plante S, Bradley D, Gagnon-Arsenault I, and Landry CR. Parallel nonfunctionalization of CK1δ/ε kinase ohnologs following a whole-genome duplication event. Molecular Biology and Evolution, msad246 (2023)
Lemieux P, Bradley D, Dubé AK, Dionne U, and Landry CR. Dissection of the role of a SH3 domain in the evolution of binding preference of paralogous proteins. Genetics, iyad175 (2023)
Bradley D. The evolution of post-translational modifications. Current Opinion in Genetics and Development, 76 (2022)
Dionne U, Bourgault E*, Dubé AK*, Bradley D*, Chartier FJM*, Dandage R, Dibyachintan S, Després PC, Gish GD, Hang Pham NT, Létourneau M, Lambert JP, Doucet N, Bisson N, and Landry CR. Protein context shapes the specificity of SH3 domain-mediated interactions in vivo. Nature Communications 12, 1597 (2021)
Bradley D*, Vieitez C*, Vinothini R, Selkrig J, Cutillas PR, Beltrao P. Sequence and structure-based analysis of specificity determinants in eukaryotic protein kinases. Cell Reports 34 (2), 108602 (2021)
Invergo BM, Petursson B, Akhtar N, Bradley D, Giudice G, Hijazi M, Cutillas P, Petsalaki E, Beltrao P. Prediction of Signed Protein Kinase Regulatory Circuits. Cell Systems 10 (5), 384-396. e9 (2020)
Bruno L, Ramlall V, Studer RA, Sauer S, Bradley D, Dharmalingam G, Carroll T, Ghoneim M, Chopin M, Nutt SL, Elderkin S, Rueda DS, Fisher AG, Siggers T, Beltrao P, Merkenschlager M. Selective deployment of transcription factor paralogs with submaximal strength facilitates gene regulation in the immune system. Nature Immunology 20 (10), 1372-1380 (2019)
Bradley D, Beltrao P. Evolution of protein kinase substrate recognition at the active site. PLoS biology Volume 17 (2019)
Ochoa D*, Bradley D*, Beltrao P. Evolution, dynamics and dysregulation of kinase signalling. Current opinion in structural biology Volume 48 (2018) p.133-140