Publications

 

​This page contains publications utilising the PGCNA approach

​

1. Care, M.A., Westhead, D.R., Tooze, R.M., 2019. Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer. npj Syst. Biol. Appl. 5, 13. https://doi.org/10.1038/s41540-019-0090-7. Networks & data available in Paper data 1

2. Stephenson, S. et al. Growth Factor–like Gene Regulation Is Separable from Survival and Maturation in Antibody-Secreting Cells. J Immunol February 15, 2019, 202 (4) 1287-1300; DOI: https://doi.org/10.4049/jimmunol.1801407  Networks & data available in Paper data 2

3. Cocco M, Care MA, Saadi A, Al-Maskari M, Doody G, Tooze R. A dichotomy of gene regulatory associations during the activated B-cell to plasmablast transition. Life Sci Alliance. 2020;3: e202000654. doi:10.26508/lsa.202000654.  Networks & data available in Paper data 3

4. Robinson E, Care MA, Walker K, Campbell M, Tooze RM, Doody GM. A System for In Vitro Generation of Mature Murine Plasma Cells Uncovers Differential Blimp-1 / Prdm1 Promoter Usage. J Immunol. 2021; ji2100004. doi:10.4049/jimmunol.2100004. Networks & data available in Paper data 4

5. Stephenson, S., Care, M. A., Doody, G. M., & Tooze, R. M. (2022). APRIL Drives a Coordinated but Diverse Response as a Foundation for Plasma Cell Longevity. The Journal of Immunology, 209(5), 926–937. https://doi.org/10.4049/jimmunol.2100623. Networks & data available in Paper data 5