Ronald Germain, M.D., Ph.D.

Chief, Laboratory of Systems Biology
Chief, Lymphocyte Biology Section

Major Areas of Research

  • Intravital imaging, analysis, and modeling of immune cell dynamics and in vivo activity
  • Control of cell migration and cell-cell interactions by structural and chemical cues
  • Multiplex imaging of cell phenotype, signaling, and function in complex tissues
  • Systems-level analysis of immune cell signaling and responses to infection
  • Human immune analysis using systems biology methods

Past work and recent emphasis on applying imaging methods to analysis of the innate and adaptive immune systems

The Lymphocyte Biology Section (LBS) has made numerous contributions to the understanding of the cell biology of antigen processing and presentation by MHC class I and especially class II molecules. It also has examined recognition of these ligands by T cells with a focus on the signaling mechanisms involved in ligand discrimination. Since the early 2000’s, the LBS has conducted analysis of immune cell behavior in vivo using methods of intravital 2-photon imaging that it helped pioneer, providing real-time, high-resolution visualization of immune-cell dynamics in situ. More recently, the LBS has developed novel, highly multiplex section and volume imaging methods (Histo-cytometry and Ce3D) that allow an unprecedented analysis of cell phenotype, signaling, function, and location in complex tissue settings. These various imaging technologies are being used with more conventional molecular and cellular immunological methods to 1) describe the dynamics of innate and adaptive immune cell movement in lymphoid and non-lymphoid tissue; 2) localize the sites and duration of the cell-cell interactions involved in the development of adaptive immune responses; 3) analyze how differences in these aspects of cell migration and interaction affect differentiation events and functional immunity; and 4) investigate the dynamic behavior and effector activities of innate and adaptive immune cells in non-lymphoid sites.

Our studies have allowed us to determine how long a T cell spends in contact with an antigen-bearing dendritic cell, the role of both physical (the fibroblastic reticular cell network in lymph nodes) and chemical (chemokine) cues in controlling T-cell migration in secondary lymphoid tissues, the importance of SAP in differential attachment of T cells to antigen-presenting dendritic cells versus B cells and in germinal center formation, the signals guiding neutrophil migration in infected to damaged tissue settings, epithelial cell TLR control of dendritic-cell extension into the gut lumen for bacterial sampling, the interplay of myeloid and lymphoid cells within mycobacterial granulomas in the liver, and the complex set of lymphocyte-dendritic cell interactions that underlie effective cell-mediated immune responses involving both CD4 and CD8 T cells. Videos from published papers reporting these findings are available in the Videos tab.

The static imaging methods have contributed to a new understanding of how dendritic cell subsets are positioned within lymph nodes and the impact of this uneven distribution on functional biology post-infection or vaccination. They have also revealed the operation of regulatory T cells in small clusters within lymph nodes where conventional autoreactive cells produce IL-2 in response to self-antigens and are then silenced by TCR and IL-2 feedback activation of the associated Tregs. Together, these studies are beginning to create a comprehensive picture of how immune cells traffic and interact during all phases of immune responses. Future work will emphasize both additional basic investigations and new studies of human material, such as samples from cancer patients receiving checkpoint inhibitor therapy. The expectation is that Histo-cytometry and Ce3D methods can provide critical new insight into why some and not other patients respond to these treatments, helping to assign individuals to optimal treatment groups and also aiding in development of new combination therapies for initial non-responders. Some of these studies will be conducted by a new Center for Advanced Tissue Imaging (CAT-I) jointly sponsored within the LBS by NIAID and the National Cancer Institute.

Imaging Immune Cell Dynamics and Function

Cell dynamics
Credit: NIAID

Cell dynamics

Above: From L to R: Polarized T cell (cyan) associated with desmin+/ERTR-7+ (red and green) fibroblastic reticular cell (FRC) fibers; composite image of polyclonal B cells in a lymph node follicle (blue) and the migration tracks of wild-type (red) and SAP KO (green) T cells in the follicle and germinal center; dendritic cells (green) extending (‘balloon bodies”) into the gut lumen from beneath the villus epithelial cell layer (red); and activated T cells (green) in a BCG-induced liver granuloma surrounded by intact liver sinusoids (red blood tracer) and hepatocytes (blue nuclei).

Analysis and Modeling of TLR Ligand Discrimination and Control of Macrophage Inflammatory Responses

A second major focus of the LBS is part of the integrated studies of the LBS involving macrophage responses to TLR ligands. Building on past success in computational modeling of T-cell receptor signaling, the LBS has undertaken detailed, single-cell analyses of macrophage signaling and inflammatory mediator production in response to single and combinations of TLR ligands. These studies have revealed that macrophages show a combination of analog responses in terms of NF-κB activation but digital responses for the MAPK pathways. The distinct shapes of these dose-responses provides a signaling system that allows priming of inflammatory gene loci without production of the protein products of these genes at low TLR engagement levels typical of the steady-state in a non-infected host but robust responses if the digital threshold for ERK responses is exceeded as a pathogen replicates. Mathematical modeling in conjunction with the Computational Biology Section of LSB using Simmune software suggests a key role for phosphatases in control of this signaling network, and these enzymes have been linked in GWAS studies to various inflammatory diseases, suggesting that dysregulation of the sensitivity of the network in terms of the switching point for mediator production could be a key contributory factor in these diseases. Ongoing studies are exploring this possibility using genotyped human samples. Further work on human immunology is being conducted in conjunction with the Trans-NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI). 

 

Dr. Germain received his Sc.B. and Sc.M. from Brown University in 1970 and his M.D. and Ph.D. from Harvard Medical School and Harvard University in 1976. From 1976 to 1982, he served as an instructor, assistant professor, and associate professor of pathology at Harvard Medical School. From 1982 to 1987, he worked as a senior investigator in the Laboratory of Immunology (LI). In 1987, he was appointed chief of the Lymphocyte Biology Section. In 1994, Dr. Germain was named deputy chief of LI. In 2006, he became director of the NIAID Program in Systems Immunology and Infectious Disease Modeling, which became the Laboratory of Systems Biology in 2011 and for which he serves as chief of the laboratory. He is also acting chief of LI and associate director of the Trans-NIH Center for Human Immunology, Inflammation, and Autoimmunity (CHI). Since receiving his doctoral degrees, he has led a laboratory investigating basic immunobiology. He and his colleagues have made key contributions to our understanding of MHC class II molecule structure–function relationships, the cell biology of antigen processing, and the molecular basis of T cell recognition.

More recently, his laboratory has explored the relationship between immune tissue organization and control of immunity studied using dynamic and static in situ microscopic methods that his laboratory helped pioneer. His group also conducts research in quantitative modeling of immune signaling circuits and in the broader application of the methods of systems biology to immunological questions. He has published more than 300 scholarly research papers and reviews and serves on the editorial boards of many scientific journals.

Among his numerous honors, he was elected as an associate (foreign) member of EMBO (2008), elected to the National Academy of Medicine (2013) and to the National Academy of Science (2016), received the Meritorious Career Award from the American Association of Immunologists (2015), was chosen as NIAID outstanding mentor, 2016, and has been designated an NIH distinguished investigator. He has trained more than 70 postdoctoral fellows, many of whom hold senior academic and administrative positions at leading universities and medical schools.

Lymphocyte Biology Section research group
Credit: NIAID

Lymphocyte Biology Section, 12-2016

Front row seated, left to right: Kairui Mao, visiting fellow, Weizhe Li, contractor, Ronald N. Germain, section chief, Antonio P. Baptista, visiting fellow, Andrea Radtke, IRTA fellow, Weiming Yu,  contractor.

Second row standing, left to right:, Waipan Chan, IRTA fellow, Stefan Uderhardt, visiting fellow, Derek Einhaus, laboratory manager, Emily Condiff, post-baccalaureate fellow, Kate Krauss, post-baccalaureate fellow, Rachel Gottschalk, research fellow, Anita Gola, Wellcome Trust GPP graduate student

Third row, standing left to right: Harikesh Wong,  IRTA fellow, Pedro Milanez-Almeida, visiting fellow, Caleb Ng, University of Pennsylvania graduate GPP student 

Gottschalk RA, Martins AJ, Angermann BR, Dutta B, Ng CE, Uderhardt S, Tsang JS, Fraser ID, Meier-Schellersheim M, Germain RN. Distinct NF-κb and MAPK activation thresholds uncouple steady-state microbe sensing from anti-pathogen inflammatory responses. Cell Systems. 2016 Jun 22;2(6):378-390.

Liu Z, Gerner MY, Van Panhuys N, Levine AG, Rudensky AY, Germain RN. Immune homeostasis enforced by co-localized effector and regulatory T cells. Nature. 2015 Dec 10;528(7581):225-30.

Brandes M, Klauschen F, Kuchen S, Germain RN. A top-down systems analysis identifies an innate feed-forward circuit leading to lethal influenza infection. Cell. 2013 Jul 3;154(1):197-212.

Lämmermann T, Afonso PV, Angermann BR, Wang JM, Kastenmüller WK, Parent CA, Germain RN. Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo. Nature. 2013 Jun 20;498(7454):371-375.

Kastenmüller W, Torabi-Parizi P, Subramanian N, Lämmermann, T, Germain, RN. A spatially-organized multicellular innate immune response in lymph nodes limits systemic pathogen spread. Cell. 2012 Sept 14;150(6):1235-1248.

Gerner MY, Kastenmuller W, Ifrim I, Kabat J, Germain RN. Histo-Cytometry: A method for highly multiplex quantitative tissue imaging analysis applied to dendritic cell subset microanatomy in lymph nodes. Immunity. 2012 Aug 24;37(2):364-376.

Visit PubMed for a complete publication list.

Videos from LBS Research

Movie 1: T cells exit HEVs in limited locations

A single z slice from an intravital four-dimensional data set showing numerous T cells (red) exiting HEV (green) in a lymph node via lucent areas that appear to be gaps in the FRC sheath (“exit ramps”). The playback speed is 300x for both the main and zoomed image. See Bajénoff M, Egen JG, Koo LY, Laugier JP, Brau F, Glaichenhaus N, Germain RN. Stromal cell networks regulate lymphocyte entry, migration, and territoriality in lymph nodes.Immunity. 2006 Dec;25(6):989-1001.

Movie 2: T cells migrate along the FRC network

Movie 3: Role of integrins in neutrophil migration and swarm formation

An intravital four-dimensional data set showing wild-type mouse neutrophils (red) swarming around a central point of localized tissue damage and the failure of talin-deficient (integrin-defective) neutrophils (green) to participate in swarm formation in a mouse ear. Both types of neutrophils migrate equivalently in the dermis, showing that high affinity integrin function is not necessary for such movement in dense tissue but is required for isolating the damage from surrounding viable tissue.

See Lämmermann T, Afonso PV, Angermann BR, Wang JM, Kastenmüller WK, Parent CA, Germain RN. Neutrophil swarms require LTB4 and integrins at sites of cell death in vivo. Nature. 2013 Jun 20;498(7454):371-375.

Movie 4: Neutrophils responding to a skin barrier breach

An intravital four-dimensional data set showing mouse neutrophils (green) leaving a blood vessel (blue) and migrating towards the site of a sand fly bit in the center of the imaging field. Red objects are genetically labeled Leishmania major organisms deposited by the sand fly.

See Peters, Nathan C, Jackson G Egen, Nagila Secundino, Alain Debrabant, Nicola Kimblin, Shaden Kamhawi, Phillip Lawyer, Michael P Fay, Ronald N Germain, and David Sacks. 2008. “In Vivo Imaging Reveals an Essential Role for Neutrophils in Leishmaniasis Transmitted by Sand Flies..” Science (New York, N.Y.) 321 (5891): 970–74. doi:10.1126/science.1159194.

Movie 5: Collateral tissue damage due to neutrophil swarming part 1

An intravital four-dimensional data set showing mouse neutrophils (red) and migrating towards the site of laser-induced tissue damage the center of the imaging field (white circle).

Movie 6: Collateral tissue damage due to neutrophil swarming part 2

Movie 7: Drainage and uptake of particulate antigens

Intravital 4D imaging dataset showing a mouse lymph node draining the site of vaccine particle inoculation the ear. Cyan =collagen in the capsule of the lymph node. Green = CD11c+ lymphatic sinus resident dendritic cells. Red = CD169+ lymphatic sinus resident macrophages. Blue = tracer in the draining lymph.

See Gerner, Michael Y, Parizad Torabi-Parizi, and Ronald N Germain. 2015. “Strategically Localized Dendritic Cells Promote Rapid T Cell Responses to Lymph-Borne Particulate Antigens..” Immunity 42 (1): 172–85. doi:10.1016/j.immuni.2014.12.024.

Movie 8: Direct capture of lymph draining particles by dendritic cell extending into the lymphatic sinuses

Intravital 4D imaging dataset zoon in showing CD11c+ dendritic ell capture of vaccine particles in a mouse lymph node draining the site of inoculation the ear. Green = CD11c+ lymphatic sinus resident dendritic cells. Yellow = vaccine particles. Blue = tracer in the draining lymph.

Movie 9: Three-dimensional reconstruction of DC extensions across the epithelial layer of the terminal ileum

Movie 10: Different shape of trans-epithelial DC extensions

Movie 11: Rapid association of blood-borne BCG with Kupffer cells observed in MHCII-EGFP mice

Movie 12: Visualizing tissues and immune cells in 3D

Animation of a 3D image of intact (non-sectioned) mouse lymph node imaged using the LBS-developed method of Ce3D clearing and staining. Cyan = B220 staining of B cells. Yellow = CD31 staining of vascular endothelial cells. White = LYVE-1 staining of lymphatic endothelial cells. Green = CD8 staining of T cells and CD8+ dendritic cells. Red = CD169 staining of macrophages. Image first shows vascular tree, then adds B cell follicles, then shows in silico computer sectioning of the entire lymph node.

Movie 13: Visualizing tissues and immune cells in 3D - Confetti animal

Animation of 3D image of mouse brain from a Confetti animal with multiple fluorescent proteins expressed in neurons using the LBS-developed method of Ce3D clearing.

Movie 14: Magnified view of a portion of Movie 13

Movie 15: Sequential migration of neutrophils from the epidermis/dermis into sites of sand fly proboscis penetration through the stratum corneum

Content last reviewed on December 5, 2016