Core B will be part of a multi-tiered expression analysis core set up to support all four projects of the PPG. We have been successful in our effort to develop an expression profiling resource at our center. In collaboration with Rick Young at the Massachusetts Institute of Technology and Aviv Regev at the Broad Institute of Genetics and Genomics, we have developed technologies to undertake multiplex expression profiling using newly acquired Nanostring nCounter technologies. With the support from MIT and the Broad Institute, our expression Core has the know-how, technologies, resources and analytical skills to support the research projects of this PPG. The Core allows for multiplex expression analysis of up to 500 genes in a single RNA sample using a recently acquired Nanostring nCounter, which saves time and materials. Furthermore, Nanostring nCounter technology is particularly suited for expression analysis of rare cells present or infiltrating into the CNS. The core has been set up so that expression data obtained from different projects and cell types can be readily analyzed and compared. The major aim of the core is undertake multiplexed gene expression profiling using Nanostring nCounter technologies.

Public Health Relevance

Using the multiplexed gene expression resources of the core, together with ChlP-seq and RNA-seq data (undertaken in Project 2), will allow us to develop a molecular map to understand the development, function, and regulation of IL-27-driven Tri cells, which will lead to the identification of nodal points in Tri development. Identification of these nodal points could be used as essential drug targets for future immunomodulatory therapies for multiple sclerosis (MS).

National Institute of Health (NIH)
National Institute of Neurological Disorders and Stroke (NINDS)
Research Program Projects (P01)
Project #
Application #
Study Section
National Institute of Neurological Disorders and Stroke Initial Review Group (NSD)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Brigham and Women's Hospital
United States
Zip Code
Aschenbrenner, Dominik; Foglierini, Mathilde; Jarrossay, David et al. (2018) An immunoregulatory and tissue-residency program modulated by c-MAF in human TH17 cells. Nat Immunol 19:1126-1136
Meyer Zu Horste, Gerd; Przybylski, Dariusz; Schramm, Markus A et al. (2018) Fas Promotes T Helper 17 Cell Differentiation and Inhibits T Helper 1 Cell Development by Binding and Sequestering Transcription Factor STAT1. Immunity 48:556-569.e7
Joller, Nicole; Kuchroo, Vijay K (2017) Tim-3, Lag-3, and TIGIT. Curr Top Microbiol Immunol 410:127-156
Karwacz, Katarzyna; Miraldi, Emily R; Pokrovskii, Maria et al. (2017) Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation. Nat Immunol 18:412-421
Hu, Dan; Notarbartolo, Samuele; Croonenborghs, Tom et al. (2017) Transcriptional signature of human pro-inflammatory TH17 cells identifies reduced IL10 gene expression in multiple sclerosis. Nat Commun 8:1600
Mayo, Lior; Cunha, Andre Pires Da; Madi, Asaf et al. (2016) IL-10-dependent Tr1 cells attenuate astrocyte activation and ameliorate chronic central nervous system inflammation. Brain 139:1939-57
Chihara, Norio; Madi, Asaf; Karwacz, Katarzyna et al. (2016) Differentiation and Characterization of Tr1 Cells. Curr Protoc Immunol 113:3.27.1-3.27.10
Anderson, Ana C; Joller, Nicole; Kuchroo, Vijay K (2016) Lag-3, Tim-3, and TIGIT: Co-inhibitory Receptors with Specialized Functions in Immune Regulation. Immunity 44:989-1004
Meyer Zu Horste, Gerd; Wu, Chuan; Wang, Chao et al. (2016) RBPJ Controls Development of Pathogenic Th17 Cells by Regulating IL-23 Receptor Expression. Cell Rep 16:392-404
Gaublomme, Jellert T; Yosef, Nir; Lee, Youjin et al. (2015) Single-Cell Genomics Unveils Critical Regulators of Th17 Cell Pathogenicity. Cell 163:1400-12

Showing the most recent 10 out of 18 publications