A major aim of the Integrative Immunobiology Unit is to decipher gene expression programs that direct cell fates in the hematopoietic and immune systems, since perturbations to their genetic program underlie many diseases such as cancer, immunodeficiency, autoimmunity, allergy and infectious diseases. We seek knowledge that will provide insights for understanding these diseases and the parameters for effective immune responses. For a tractable model system to prototype our approaches, we are taking advantage of CD4+ T helper cell differentiation since many research tools are available for this system and much is already known about its core transcriptional program and signaling pathways. However, relatively little is known about post-transcriptional control of gene expression and the roles of non-coding RNAs in immunity. One major focus of this project is a class of endogenous small untranslated RNAs, called microRNAs (miRNAs), that partner with Argonaute (Ago) proteins to form effector RNA-induced silencing complexes (RISCs) that recognize cognate mRNA targets and reduce their expression post-transcriptionally. It became evident that miRNAs are required for B and T lymphocyte differentiation when miRNA biogenesis was blocked by conditional ablation of the miRNA processing enzyme Dicer in genetically engineered mouse models. Recently, we have expanded our research to identify novel long non-coding RNAs (lncRNAs) that are expressed in lymphocytes using a technique called RNA-seq and will endeavor to determine their roles in immunity. Previously, we successfully combined mouse genetics and genomics to systematically determine the impact of non-coding RNAs on the transcriptome. We will continue with this approach to integrate miRNAs and lncRNAs into maps of regulatory networks that orchestrate gene expression in lymphocytes. To accomplish our goals we employ state-of-the-art genomic methods enabled by massively parallel sequencing. A typical deep sequencing experiment generates in the order of 100 million reads, that can only be analyzed using sophisticated computational methods. Although, some tools exist for analyses we had to develop some custom in-house source codes for certain applications. We routinely perform deep sequencing for a variety of genomic applications (eg. RNA-seq, ChIP-seq) with the goal of understanding how cells in the immune system dynamically interpret the genetic code within their DNA in order to fulfill their biological destinies. This past year, we have been busy generating, analyzing and mining our data; we formulated a number of interesting hypotheses; and we are intensively testing them experimentally in the laboratory. We surmounted a number of technical challenges and are currently concluding some of our work for publication.

Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Niaid Extramural Activities
Department
Type
DUNS #
City
State
Country
Zip Code
Kanellopoulou, Chrysi; Muljo, Stefan A (2016) Fine-Tuning Th17 Cells: To Be or Not To Be Pathogenic? Immunity 44:1241-3
Bhairavabhotla, Ravikiran; Kim, Yong C; Glass, Deborah D et al. (2016) Transcriptome profiling of human FoxP3+ regulatory T cells. Hum Immunol 77:201-13
Mayer, Bryan T; Srinivasan, Sujatha; Fiedler, Tina L et al. (2015) Rapid and Profound Shifts in the Vaginal Microbiota Following Antibiotic Treatment for Bacterial Vaginosis. J Infect Dis 212:793-802
Witte, Steven; Bradley, Allan; Enright, Anton J et al. (2015) High-density P300 enhancers control cell state transitions. BMC Genomics 16:903
Luck, Marisa E; Muljo, Stefan A; Collins, Colm B (2015) Prospects for Therapeutic Targeting of MicroRNAs in Human Immunological Diseases. J Immunol 194:5047-52
Schmid, Michael; Smith, Jacqueline; Burt, David W et al. (2015) Third Report on Chicken Genes and Chromosomes 2015. Cytogenet Genome Res 145:78-179
Kanellopoulou, Chryssa; Gilpatrick, Timothy; Kilaru, Gokhul et al. (2015) Reprogramming of Polycomb-Mediated Gene Silencing in Embryonic Stem Cells by the miR-290 Family and the Methyltransferase Ash1l. Stem Cell Reports 5:971-978
Witte, Steven; Muljo, Stefan A (2014) Integrating non-coding RNAs in JAK-STAT regulatory networks. JAKSTAT 3:e28055
Escobar, Thelma M; Kanellopoulou, Chrysi; Kugler, David G et al. (2014) miR-155 activates cytokine gene expression in Th17 cells by regulating the DNA-binding protein Jarid2 to relieve polycomb-mediated repression. Immunity 40:865-79
Rupp, Levi J; Brady, Brenna L; Carpenter, Andrea C et al. (2014) The microRNA biogenesis machinery modulates lineage commitment during ?? T cell development. J Immunol 193:4032-42

Showing the most recent 10 out of 20 publications