My primary interest over the past 7 years has been to develop multiparametric flow cytometry and cell sorting methods for different tissue types. Also a couple of years back, my curiosity has been peaked by big data analysis while “detangling” RNAseq data for 2 different projects in my previous lab. Let’s say that I am a geeky Jack-of-all-trades looking for new opportunities.
A little bit of background: I’ve been working in academic labs since the beginning of my training as a researcher. Almost 15 years later it is crazy to think about all the things that I’ve accomplished during that time. From antibiotic resistance to neurobiology through adipogenesis and cancer research my path as been wide but still focussed on learning the most innovative and breakthrough techniques.
I would say that I am an efficient and organized research and development cytometrist that has a solid background in molecular biology, immunology, genetic and epigenetic in multiple physiopathology. I also have extensive experience in lab management, organization, and implementation of new techniques.
I am driven by new challenges and working in a fast-paced environment, independently and as part of an interdisciplinary team.
Adaptability - Creativity: Eager to keep learning and adapting to changing trends. Not afraid to think out of the box. My last challenge is to develop a method to assess a potassium transporter expression on different neuron types in a murine Alzheimer disease model. I also established multi-parametric flow cytometry in many cell types, which resulted in the expansion of many projects leading to new collaborations.
Management: Strive to achieve goals beyond expectations. Manage multiple time-sensitive projects implicating multiple team members, culminating in many CIHR grants and publications.
Leadership skills: Initiating new techniques and stepping forward to get the job done. Expansion of the flow core facility applications by the implementation of seminars and product demos, the dissemination of our knowledge and the experimental support of our users. Implication in analysis methods advances by exploring novel tools using bioinformatics and automated machine learning. Mentoring of undergrads and graduate students.
Yang, W., Khoury, E., Guo, Q., Prabhu, S. A., Emond, A., Huang, F., Gonçalves, C., Zhan, Y., Plourde, D., Nichol, J. N., Dahabieh, M. S., Miller, W. H., Jr, & Del Rincón, S. V. (2020). MNK1 signaling induces an ANGPTL4-mediated gene signature to drive melanoma progression. Oncogene, 10.1038/s41388-020-1240-5. Advance online publication. https://doi.org/10.1038/s41388-020-1240-5
Zahreddine, H. A., Culjkovic-Kraljacic, B., Emond, A., Pettersson, F., Midura, R., Lauer, M., Del Rincon, S., Cali, V., Assouline, S., Miller, W. H., Hascall, V., & Borden, K. L. (2017). The eukaryotic translation initiation factor eIF4E harnesses hyaluronan production to drive its malignant activity. eLife, 6, e29830. https://doi.org/10.7554/eLife.29830
Dupéré-Richer, D., Kinal, M., Pettersson, F., Emond, A., Calvo-Vidal, M. N., Nichol, J. N., Guilbert, C., Plourde, D., Klein Oros, K., Nielsen, T. H., Ezponda, T., Licht, J. D., Johnson, N. A., Assouline, S., Cerchietti, L., Miller, W. H., Jr, & Mann, K. K. (2017). Increased protein processing gene signature in HDACi-resistant cells predicts response to proteasome inhibitors. Leukemia & lymphoma, 58(1), 218–221. https://doi.org/10.1080/10428194.2016.1180684
Pettersson, F., Del Rincon, S. V., Emond, A., Huor, B., Ngan, E., Ng, J., Dobocan, M. C., Siegel, P. M., & Miller, W. H., Jr (2015). Genetic and pharmacologic inhibition of eIF4E reduces breast cancer cell migration, invasion, and metastasis. Cancer research, 75(6), 1102–1112. https://doi.org/10.1158/0008-5472.CAN-14-1996
Huot, J. L., Balg, C., Jahn, D., Moser, J., Emond, A., Blais, S. P., Chênevert, R., & Lapointe, J. (2007). Mechanism of a GatCAB amidotransferase: aspartyl-tRNA synthetase increases its affinity for Asp-tRNA(Asn) and novel aminoacyl-tRNA analogues are competitive inhibitors. Biochemistry, 46(45), 13190–13198. https://doi.org/10.1021/bi700602n