Ruben Dries PhD
Assistant Professor, Hematology & Medical Oncology
Assistant Professor, Computational Biomedicine
650 Albany St | (617) 638-7583rdries@bu.edu
Sections
Hematology & Medical Oncology
Computational Biomedicine
Centers
Center for Regenerative Medicine
Biography
Ruben Dries, PhD combines computational data analysis with novel experimental approaches and technologies to understand basic biological concepts in health and disease. These insights could then be leveraged to target tumor specific processes or inhibit the development of treatment resistance. These interests grew dynamically throughout his research career. In his early studies Dr. Dries developed a systems biology approach to dissect the regulatory network of neural differentiating embryonic stem cells and used this knowledge at a later stage to understand how cancer cells transcriptionally respond to targeted therapies and other stress factors. More recently, he expanded this area by focusing on how cells can spatially communicate within their microenvironment and build tools to facilitate these type of analyses.
As a young and dynamic group his lab works together as a team in the following areas:
1) Establishing multi-cellular breast cancer models that better reflect spatial tumor heterogeneity
2) Building tools to explore and quantify cellular cross-talk
3) Assess the contribution of supporting cells to cancer cells within the breast tumor microenvironment
4) Document the gradual response to targeted therapy at the transcriptional and chromatin level in breast cancer cells
Other Positions
Websites
Education
Biomedical Sciences, PhD, Erasmus Universiteit Rotterdam, 2017
Biomedical Sciences, PhD, Katholieke Univ Leuven, 2016
Biomedical Sciences, MS, Katholieke Univ Leuven, 2009
Biomedical Sciences, BS, Katholieke Univ Leuven, 2007
Publications
Wang Y, Sarfraz I, Teh WK, Sokolov A, Herb BR, Creasy HH, Virshup I, Dries R, Degatano K, Mahurkar A, Schnell DJ, Madrigal P, Hilton J, Gehlenborg N, Tickle T, Campbell JD. Matrix and analysis metadata standards (MAMS) to facilitate harmonization and reproducibility of single-cell data. bioRxiv. 2023 Mar 07. PMID: 36945543.
Published on 3/7/2023Wang Y, Sarfraz I, Teh WK, Sokolov A, Herb BR, Creasy HH, Virshup I, Dries R, Degatano K, Mahurkar A, Schnell DJ, Madrigal P, Hilton J, Gehlenborg N, Tickle T, Campbell JD. Matrix and analysis metadata standards (MAMS) to facilitate harmonization and reproducibility of single-cell data. bioRxiv. 2023 Mar 07. PMID: 36945543.
Published on 12/1/2022Ennis CS, Llevenes P, Qiu Y, Dries R, Denis GV. The crosstalk within the breast tumor microenvironment in type II diabetes: Implications for cancer disparities. Front Endocrinol (Lausanne). 2022; 13:1044670. PMID: 36531496.
Published on 9/22/2022Sengupta S, Das S, Crespo AC, Cornel AM, Patel AG, Mahadevan NR, Campisi M, Ali AK, Sharma B, Rowe JH, Huang H, Debruyne DN, Cerda ED, Krajewska M, Dries R, Chen M, Zhang S, Soriano L, Cohen MA, Versteeg R, Jaenisch R, Spranger S, Romee R, Miller BC, Barbie DA, Nierkens S, Dyer MA, Lieberman J, George RE. Mesenchymal and adrenergic cell lineage states in neuroblastoma possess distinct immunogenic phenotypes. Nat Cancer. 2022 Oct; 3(10):1228-1246. PMID: 36138189.
Published on 6/28/2022Ikonomou L, Magnusson M, Dries R, Herzog EL, Hynds RE, Borok Z, Park JA, Skolasinski S, Burgess JK, Turner L, Mojarad SM, Mahoney JE, Lynch T, Lehmann M, Thannickal VJ, Hook JL, Vaughan AE, Hoffman ET, Weiss DJ, Ryan AL. Stem cells, cell therapies, and bioengineering in lung biology and disease 2021. Am J Physiol Lung Cell Mol Physiol. 2022 Sep 01; 323(3):L341-L354. PMID: 35762622.
Published on 4/1/2022Del Rossi N, Chen JG, Yuan GC, Dries R. Analyzing Spatial Transcriptomics Data Using Giotto. Curr Protoc. 2022 Apr; 2(4):e405. PMID: 35384407.
Published on 3/1/2022Vanuytsel K, Villacorta-Martin C, Lindstrom-Vautrin J, Wang Z, Garcia-Beltran WF, Vrbanac V, Parsons D, Lam EC, Matte TM, Dowrey TW, Kumar SS, Li M, Wang F, Yeung AK, Mostoslavsky G, Dries R, Campbell JD, Belkina AC, Balazs AB, Murphy GJ. Multi-modal profiling of human fetal liver hematopoietic stem cells reveals the molecular signature of engraftment. Nat Commun. 2022 03 01; 13(1):1103. PMID: 35232959.
Published on 10/1/2021Dries R, Chen J, Del Rossi N, Khan MM, Sistig A, Yuan GC. Advances in spatial transcriptomic data analysis. Genome Res. 2021 10; 31(10):1706-1718. PMID: 34599004.
Published on 8/25/2021Cao KL, Abadi AJ, Davis-Marcisak EF, Hsu L, Arora A, Coullomb A, Deshpande A, Feng Y, Jeganathan P, Loth M, Meng C, Mu W, Pancaldi V, Sankaran K, Righelli D, Singh A, Sodicoff JS, Stein-O'Brien GL, Subramanian A, Welch JD, You Y, Argelaguet R, Carey VJ, Dries R, Greene CS, Holmes S, Love MI, Ritchie ME, Yuan GC, Culhane AC, Fertig E. Author Correction: Community-wide hackathons to identify central themes in single-cell multi-omics. Genome Biol. 2021 Aug 25; 22(1):246. PMID: 34433496.
Published on 8/5/2021Lê Cao KA, Abadi AJ, Davis-Marcisak EF, Hsu L, Arora A, Coullomb A, Deshpande A, Feng Y, Jeganathan P, Loth M, Meng C, Mu W, Pancaldi V, Sankaran K, Righelli D, Singh A, Sodicoff JS, Stein-O'Brien GL, Subramanian A, Welch JD, You Y, Argelaguet R, Carey VJ, Dries R, Greene CS, Holmes S, Love MI, Ritchie ME, Yuan GC, Culhane AC, Fertig E. Community-wide hackathons to identify central themes in single-cell multi-omics. Genome Biol. 2021 08 05; 22(1):220. PMID: 34353350.