Citations 2
Menin regulates oncogenic cell identity transcriptional networks in multiple myeloma
Kumar, Subhasree , Franich, Rheana, Khong, Tiffany, Neville, Daniel, The, James, Rumler, Brandon, Alex, Shania, Dobbs, Grace, Lewis, Alexander C. , Hawkins, Edwin, Chesi, Marta, Spencer, Andrew, Gilan, Omer , Kats, Lev M. , Gruber, Emily , Franich, Rheana L. , Khong, Tiffany T. , Ang, Ching‐Seng , Rumler, Bradon, Howitt, George , Hawkins, Edwin, Bergsagel, P. Leif , Chesi, Marta , Spencer, Andrew
No container title available | June 19, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available
Abstract Multiple myeloma (MM) is a heterogenous cancer that remains mostly incurable. A unifying feature of MM cells is a highly interconnected network of transcription factors and co-factors that coordinate the activity of super-enhancers to enforce myeloma cell identity. Targeting this network offers a promising avenue for therapeutic intervention across genetically diverse myeloma sub-types. Using integrated molecular and functional genomic approaches we identified Menin as a key driver of oncogenic gene expression in MM cells. Menin and its co-factor KMT2A bind at super-enhancers and maintain expression of essential myeloma genes, including IRF4. We demonstrate that Menin inhibitors, which have recently been approved for treatment of acute myeloid leukaemia, are highly active in myeloma cell lines and in vivo models. Combining Menin inhibitors with other super-enhancer targeting therapies such EP300/CREBBP inhibitors or immunomodulatory drugs (IMiDs) overcomes epigenetic plasticity in cells resistant to single agent treatment.
A novel community driven software for functional enrichment analysis of extracellular vesicles data
Pathan, Mohashin , Keerthikumar, Shivakumar , Chisanga, David , Ang, Ching‐Seng , Askenase, Philip W., Batagov, Arsen O., Benito‐Martín, Alberto , Clayton, Aled , Collino, Federica , Vizio, Dolores Di , Falcón‐Pérez, Juan Manuel , Fonseca, Pedro , Fonseka, Pamali , Fontana, Simona , Gho, Yong Song , Hendrix, An , Hoen, Esther N. M. Nolte-â€TMt, Iraci, Nunzio , Kastaniegaard, Kenneth , Kislinger, Thomas , Kowal, Joanna , Kurochkin, Igor V. , Leonardi, Tommaso , Liang, Yaxuan , Llorente, Alicia , Lunavat, Taral R. , Maji, Sayantan , Øverbye, Anders , Peinado, Héctor , Principe, Simona, Ronquist, G. , Royo, Félix , Sahoo, Susmita , Spinelli, Cristiana , Stensballe, Allan , Théry, Clotilde , Herwijnen, Martijn J. C. van , Wauben, Marca H. M. , Welton, Joanne L. , Zhao, Kening , Mathivanan, Suresh , Fonseca, Pedro , Fonseka, Pamali , Fontana, Simona , Iraci, Nunzio , Kastaniegaard, Kenneth , Kowal, Joanna , Leonardi, Tommaso , Øverbye, Anders , Peinado, Héctor , Spinelli, Cristiana , Welton, Joanne L , Alessandro, Riccardo , Camussi, Giovanni , Hoen, Esther N. M. Nolte‐‘t , Villafiorita‐Monteleone, Francesca , Panaretakis, Theocharis , Patel, Tushar , Pluchino, Stefano , Falcón-Perez, Juan Manual
Journal of Extracellular Vesicles | May 26, 2017 | Volume: 6 | Issue: 1 | Pages: No page available
ABSTRACTBioinformatics tools are imperative for the in depth analysis of heterogeneous high‐throughput data. Most of the software tools are developed by specific laboratories or groups or companies wherein they are designed to perform the required analysis for the group. However, such software tools may fail to capture “what the community needs in a tool”. Here, we describe a novel community‐driven approach to build a comprehensive functional enrichment analysis tool. Using the existing FunRich tool as a template, we invited researchers to request additional features and/or changes. Remarkably, with the enthusiastic participation of the community, we were able to implement 90% of the requested features. FunRich enables plugin for extracellular vesicles wherein users can download and analyse data from Vesiclepedia database. By involving researchers early through community needs software development, we believe that comprehensive analysis tools can be developed in various scientific disciplines.