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Transcriptional Profiling of Stroma from Inflamed and Resting Lymph Nodes

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Transcriptional Profiling of Stroma from Inflamed and Resting Lymph Nodes RESOURCE Transcriptional profiling of stroma from inflamed and resting lymph nodes defines immunological hallmarks Deepali Malhotra1,2,8, Anne L Fletcher1,8, Jillian Astarita1,2, Veronika Lukacs-Kornek1, Prakriti Tayalia3, Santiago F Gonzalez4, Kutlu G Elpek1, Sook Kyung Chang5, Konstantin Knoblich1, Martin E Hemler1, Michael B Brenner5,6, Michael C Carroll4, David J Mooney3, Shannon J Turley1,7 & the Immunological Genome Project Consortium9 Lymph node stromal cells (LNSCs) closely regulate immunity and self-tolerance, yet key aspects of their biology remain poorly elucidated. Here, comparative transcriptomic analyses of mouse LNSC subsets demonstrated the expression of important immune mediators, growth factors and previously unknown structural components. Pairwise analyses of ligands and cognate receptors across hematopoietic and stromal subsets suggested a complex web of crosstalk. Fibroblastic reticular cells (FRCs) showed enrichment for higher expression of genes relevant to cytokine signaling, relative to their expression in skin and thymic fibroblasts. LNSCs from inflamed lymph nodes upregulated expression of genes encoding chemokines and molecules involved in the acute-phase response and the antigen-processing and antigen-presentation machinery. Poorly studied podoplanin (gp38)-negative CD31− LNSCs showed similarities to FRCs but lacked expression of interleukin 7 (IL-7) and were identified as myofibroblastic pericytes that expressed integrin a7. Together our data comprehensively describe the transcriptional characteristics of LNSC subsets. The Immunological Genome (ImmGen) Project is a multicenter lymph node, FRCs construct and regulate a specialized reticular net- collaborative venture of immunologists and computational biolo- work of fibers used by lymphocytes and DCs as a scaffold on which to gists that aims to build a comprehensive, publicly accessible database migrate and interact3. Ensheathed by FRCs, the reticular network also of gene-expression and gene-regulatory networks in the immune forms a complex conduit system of microchannels that rapidly con- system of the mouse. The data generation involves shared, rigor- duct chemokines and other small factors (<70 kilodaltons) from the ously controlled methodology and analysis pipelines1. As part of subcapsular sinus to high endothelial venules9,10. During infection, © All rights reserved. 2012 Inc. Nature America, this collaboration, we have meticulously analyzed the transcriptomes the decoration of high endothelial venules with chemokines attracts of lymph node stromal cells (LNSCs) under steady-state and inflam- leukocytes to lymph nodes, which promotes the adaptive immune matory conditions. response11. FRCs also secrete survival factors and chemokines that LNSCs are nonhematopoietic cells crucial for the normal func- attract T cells and DCs2,3. Indeed, DCs in contact with the reticular tioning of the immune system, yet they are difficult to study and network can process tissue-derived soluble antigens, which suggests ­constitute ~1% of lymph node cellularity. Expression of the glycopro- that conduit-borne lymph may be an important source of antigens tein podoplanin (gp38) and the adhesion molecule CD31 (PECAM-1) during early phases of immune responses or for the maintenance of distinguishes the following LNSC subsets: gp38+CD31− fibroblas- peripheral tolerance9,12. tic reticular cells (FRCs), gp38+CD31+ lymphatic endothelial cells Despite their maintenance of naive lymphocytes, regulation of (LECs), gp38−CD31+ blood endothelial cells (BECs) and gp38−CD31− immune responses and orchestration of DC–T cell interactions, rela- double-negative cells (DNCs)2. LNSCs have distinct roles in orches- tively little is known about how FRCs, LECs and BECs interact and trating immune responses, whereas FRCs and LECs also promote tol- are regulated in postnatal life. Moreover, FRC-like cells identified in erance3–7. LECs facilitate the entry of antigen-bearing dendritic cells autoinflammatory or cancerous lesions are associated with worsened (DCs) and soluble antigens into lymph nodes3 and control lymphocyte clinical outcomes13,14. Nonetheless, knowledge of the transcriptional egress8, whereas BECs form vessels that allow naive lymphocytes to identity of FRCs is limited; at present, it is essentially understood to enter lymph nodes through high endothelial venules3. Inside the consist of a generic myofibroblastic phenotype with expression of 1Department of Cancer Immunology and AIDS, Dana-Farber Cancer Institute, Boston, Massachusetts, USA. 2Division of Medical Sciences, Harvard Medical School, Boston, Massachusetts, USA. 3School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA. 4Department of Pediatrics and Division of Rheumatology, Immunology, and Allergy, The Immune Disease Institute and Program in Cellular and Molecular Medicine, Children’s Hospital, Harvard Medical School, Boston, Massachusetts, USA. 5Brigham and Women’s Hospital, Boston, Massachusetts, USA. 6Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA. 7Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA. 8These authors contributed equally to this work. 9Complete list of authors and affiliations appears at the end of this paper. Correspondence should be addressed to S.J.T. ([email protected]). Received 15 August 2011; accepted 14 February 2012; published online 1 April 2012; doi:10.1038/ni.2262 NATURE IMMUNOLOGY ADVANCE ONLINE PUBLICATION 1 RESOURCE identified specialized elements such as chemokines. Evidence sug- transcriptional similarities between FRCs and DNCs and between gests that FRCs and LECs may also have important roles in tolerance LECs and BECs15 (Fig. 1f). These data showed that stromal subsets induction, yet their expression of pathogen receptors and antigen- from different locations did not undergo considerable site-specific presenting machinery remains almost completely unstudied. differentiation and that DNCs shared more transcriptional similarity Transcriptomics is a powerful, unbiased starting point for deter- with FRCs than with LECs or BECs. mining a cell’s biology and identifying large numbers of new targets for further study, including molecular pathways, surface receptors and Identification of LNSC subset–specific genes and pathways secreted factors. So far, transcriptomics has not been used to examine Next we compared FRCs with BECs and LECs to identify subset- the specialization of multiple stromal cell types. We therefore aimed ­specific transcriptional signatures (Fig. 2a). We used a count of probes to create a comprehensive, ‘cross-comparable’ database of stromal with a difference in expression of over twofold as a simple metric transcriptional profiles. of transcriptional differences; SLN FRCs differed from SLN BECs We examined the transcriptomes of FRCs, LECs, BECs and poorly and LECs by 2,026 and 1,936 probes, respectively (Fig. 2a). These studied DNCs2,6,7, identifying and analyzing each subset’s unique differences were highly conserved in SLNs and MLNs, as shown by expression signature. We matched the expression of immune media- the distribution of probes along the diagonal in the plots comparing tors and growth factors to that of cognate receptors on likely hemato­ change in expression. poietic and stromal partners. Analysis of steady-state LNSCs also Probes upregulated in SLN FRCs relative to their expression in one suggested a readiness to respond to inflammatory or infectious trig- endothelial cell (EC) subset also tended to be upregulated relative to gers, a hypothesis we further explored by profiling LNSCs that we their expression in the other EC subset (>91.3% of probes; Fig. 2b), isolated during an immune response. Next, we more fully charac- which emphasized the closer developmental relationship between terized the molecular makeup of the lymph-node reticular network. LECs and BECs. In fact, SLN BECs and LECs differed in expression We observed substantial differences in the transcriptional profiles of of fewer probes (Fig. 2c), and on average these differences were of a FRCs and their skin and thymic counterparts, which reflected func- magnitude smaller than those between ECs and FRCs. This pattern tional specialization. Finally, whereas the lineage, function, localiza- was also highly conserved in MLNs (Fig. 2c). tion and identifying surface markers of DNCs were all previously To better understand how FRCs differed from sorted ECs, we iden- unknown2,6,7, this in-depth analysis showed that this subset consists tified 594 FRC-specific probes and 513 EC-specific probes (upregu- largely of contractile, FRC-like pericytes. lated in LECs and BECs; delta score (δ) = 1.0 (adjusted change in expression of twofold or more (adjusted ‘fold change’ (FC) ≥ 2)) RESULTS for at least one comparison, and δ = 0.85 (adjusted FC ≥ 1.8) for all Comparative transcriptional distances between LNSC subsets other comparisons; P < 0.05 for differences in expression value (EV); To obtain transcriptomes for each subset, we sorted FRCs, LECs, Supplementary Tables 1 and 2). The delta-score module computes BECs and DNCs to high purity from stroma-enriched fractions of adjusted FCs between two populations, minimizing noise by expo- lymph nodes from C57BL/6 mice (Fig. 1a,b and Supplementary nentially penalizing FCs for intrapopulation variability. Fig. 1a,b). Through the use of profiling and quality-control pipelines To identify previously unknown, immunologically relevant genes
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