Literature DB >> 25699051

Mouse Conventional Dendritic Cells Can be Universally Classified Based on the Mutually Exclusive Expression of XCR1 and SIRPα.

Stephanie Gurka1, Evelyn Hartung1, Martina Becker1, Richard A Kroczek1.   

Abstract

Since the identification of mouse dendritic cells (DC) in the early 70s, all attempts to consistently classify the identified functional DC subpopulations according to their surface molecule expression failed. In the absence of DC lineage markers, a great variety of non-congruent surface molecules were used instead. Recent advances in the understanding of the involvement of transcription factors in the differentiation of DC subpopulations, together with the identification of a lineage marker for cross-presenting DC, have now allowed to establish a consistent and unified DC classification in the mouse. We demonstrate in the present article that all conventional DC in the mouse can be universally subdivided into either XCR1(+) ("cross-presenting") DC or SIRPα(+) DC, irrespective of their activation status. This advancement will greatly facilitate future work on the biology of mouse DC. We discuss this new classification in view of current DC classification systems in the mouse and the human.

Entities:  

Keywords:  SIRPα; XCR1; classification; cross-presentation; dendritic cells; mouse

Year:  2015        PMID: 25699051      PMCID: PMC4316789          DOI: 10.3389/fimmu.2015.00035

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


Overview

Dendritic cells (DC) were discovered by Steinman et al. already in the early 70s (1). Nevertheless, it was until recently difficult to unequivocally distinguish them from other related cell types such as monocytes or macrophages. As a result, a combination of several markers had to be used to define DC in flow cytometry and histology. For practical purposes, mouse conventional DC today are identified in flow cytometry as cells, which express the integrin CD11c and high levels of MHC II, but lack expression of T-, B-, and plasmacytoid DC lineage markers, and also molecules characteristic for monocytes and macrophages. In the absence of (sub-) lineage markers, also DC subpopulations could not easily be defined using surface molecules. This has led over time to the use of a great variety of surface markers distinguishing supposedly functionally distinct DC subpopulations and made it difficult to directly compare results between laboratories. Further complexity was brought about by the observation that DC with an apparently similar function had different phenotypes in lymphoid tissues versus peripheral organs. As a consequence, the division of DC into subpopulations remained somewhat arbitrary, making the experimental results, including gene expression studies, less informative. Being central to the understanding of DC biology, the question how mouse conventional DC should be divided into subsets remained a matter of intensive scientific debate to this very day. Recently, we identified the first molecule restricted in its expression to mouse DC (2). Based on a variety of experimental systems, we then could demonstrate that the chemokine receptor XCR1 is a lineage marker for cross-presenting DC (3), a DC subpopulation playing an important role in the induction of CD8+ T cell cytotoxicity (see below). The use of an antibody directed to XCR1 allowed for the first time the unequivocal identification and thus a precise phenotyping of cross-presenting DC in various body compartments of the mouse (3–6). With the ability to define the cross-presenting DC population, it became possible to ask the question whether the remaining DC could also be defined by their surface characteristics. The use of an extended panel of antibodies directed to DC surface molecules indicated that all XCR1− DC were characterized by expression of SIRPα/CD172a in the intestine (4). In view of these results, together with the data presented here, we now propose a new classification based on the expression XCR1 and SIRPα, which can be used to define DC subpopulations in all lymphoid and non-lymphoid compartments of the mouse. We hope that this classification will greatly facilitate the study of DC biology in the future. This article describes the various steps, which have led to the establishment of this new DC classification system, and discusses the implications for the understanding of human DC subpopulations. Gene expression profiles and functional aspects of DC subsets [recently reviewed by Ref. (7–10)] are taken into account only as far as they contribute to the classification of mouse DC. Monocyte-derived inflammatory DC and plasmacytoid DC are not considered here, since they represent different cell lineages.

Historical DC Classification Systems

Work of numerous groups has established that at least two major conventional DC populations exist in the mouse. In the late 90s, a subset of DC was identified in lymphoid tissues, which expressed the CD8α homodimer on the cell surface (and lacked CD8β and CD11b), and these DC were hence termed “CD8+ DC” (11). A major step forward in the understanding of DC biology was the demonstration that CD8+ DC excel in antigen “cross-presentation”, a process in which antigen is shunted into the MHC I pathway and presented to CD8+ T cells (12–14). Further studies demonstrated that mouse CD8+ DC are specialized in the uptake and proteolytic processing of stressed cells and the subsequent presentation of the derived peptides to CD8+ T cells (15–17). In general terms, antigen cross-presentation allows an efficient induction of CD8 T cell cytotoxicity to antigens originating from cell-invading pathogens or mutated (cancer) cells. After identification of CD8α as a relevant subset marker on around 20% of DC in the spleen, the remaining splenic DC were classified as CD4+ DC (60%) and double-negative DC (DN DC, 20%) in C57BL/6 mice (18). When Edwards et al. (19) performed microarray gene expression profiling of splenic DC populations in the mouse, they confirmed the differing nature of CD8+ DC, but noticed only relatively minor differences in the gene expression profiles of CD4+ and DN DC, and thus concluded that these two populations are phylogenetically related. Later work based on targeting of antigen directly to splenic DC subsets has confirmed the superior capacity of CD8+ (DEC-205+/CD205+) DC for antigen cross-presentation and at the same time demonstrated a higher efficiency of CD8− (33D1+/DCIR2+) DC in the presentation of antigen to CD4+ T cells (20). While the phenotypical and functional classification of splenic DC made substantial progress, the understanding of DC subpopulations in peripheral lymphoid tissues and organs lagged behind. CD8α was detectable on resident DC in all lymphoid organs, but absent on DC in certain peripheral tissues and on DC migrating from the periphery to lymph nodes (LN) (21, 22). Since CD8α was less useful in the periphery, a different classification system was established by subdividing DC into CD103+ and CD103− populations (22–25). Antigen cross-presentation was shown to be restricted to CD103+ DC residing in the lung, the intestine, and skin-draining LN (22, 24, 25), suggesting a functional relationship to the CD8+ splenic DC. However, it soon was recognized that the CD103+ DC population is not homogenous and therefore the exact relationship between peripheral DC and lymphoid-resident DC remained unresolved.

Involvement of Transcription Factors in the Differentiation of DC

A major step forward was brought about by work on the involvement of transcription factors (TF) in the differentiation of DC. A series of studies demonstrated that development of CD8+ splenic DC and their peripheral counterparts critically depend on the TF IRF-8 (also designated ICSBP), Id2, and Batf3 (26–31). The most informative turned out to be the Batf3-KO mouse, where only the splenic CD8+ DC, the lung and dermal CD103+ DC, and the intestinal CD103+ CD11b− DC were absent and thus could be identified as developmentally related (only later it became apparent that other small DC populations with a differing phenotype were also Batf3-dependent, see below). At the same time, this animal model showed clear deficits in antigen cross-presentation (29, 31). Together, this work strongly indicated that the Batf3-dependent DC were the cross-presenting DC lineage in the mouse.

Identification of a Lineage Marker for Cross-Presenting DC

When searching for the function of XCL1, a chemokine secreted by activated CD8+ T cells and NK cells (32, 33), we found that the corresponding receptor XCR1 is exclusively expressed by a subset of DC. This observation represented the first instance of a surface molecule being restricted to conventional DC in the mouse. Analyzing a XCR1-lacZ-reporter mouse (a system which provides limited signal intensity and suffers from high background in some extra-splenic tissues when using fluorescein-di-β-d-galactopyranoside as substrate in flow cytometry), we found XCR1 to be expressed by 70–90% of CD8+ DC and by up to 8% of DN DC in the spleen. Histological analyses further indicated that other lymphoid tissues and peripheral organs contained XCR1+ DC (2). Using the same XCR1-reporter mice and extending the flow cytometry studies to DC in LN and several organs, Crozat et al. (34) found XCR1 signals essentially limited to CD103+ CD11b− DC, allowing them to postulate that expression of XCR1 defines mouse lymphoid-tissue resident and migratory DC of the “CD8α-type.” Further understanding of XCR1-expressing DC became possible with the development of a mAb specific for murine XCR1, which offered high-resolution flow cytometry and also allowed sorting of XCR1+ DC for functional assays. These studies (3) confirmed earlier findings with the lacZ-reporter system in the spleen (2) that expression of XCR1 and CD8 overlap, but are not congruent. In the lung, the intestine, in skin-draining, and mesenteric LN, CD103+ CD11b− DC were found to be essentially XCR1+. However, additional XCR1+ DC populations could also be identified there and these were negative for CD103 or positive for CD11b (3, 4). Thus, the expression pattern of XCR1 differed from the “CD8+” and “CD103+ CD11b−” DC phenotypes associated with antigen cross-presentation in the past. In experiments directly aimed to define the correlation between XCR1 expression and Batf3-dependence of DC, it became apparent that all XCR1+ DC (irrespective of their CD8, CD103, or CD11b expression status), were absent in Batf3-KO mice (3, 4). Congruent with this observation, the 20% of splenic CD8+ DC, which are negative for XCR1, were preserved in Batf3-KO animals (3); these particular CD8+ XCR1− DC apparently represent a distinct DC population with a very different gene expression profile (35). Together, the studies demonstrated for DC in all tissues an excellent and unique correlation between XCR1 surface expression and dependence on Batf3 [for data and discussion on the correlation between XCR1 and surface molecules preferentially expressed on Batf3-dependent DC such as CD8, CD205, Clec9A/DNGR-1, Itga8, and CADM1 see in Ref. (5)]. These correlation studies were very striking, but did not deliver direct information on the functional role of XCR1+ versus XCR1− DC. Only when functional assays using soluble and cell-associated antigen were performed with splenic (3) and intestinal DC (4, 6), it became apparent that antigen cross-presentation is the domain of XCR1+ DC, in particular with cell-associated antigen. Conversely, the CD8+ DC negative for XCR1 were found to be incapable of antigen cross-presentation (3). The perfect correlation between expression of XCR1, Batf3-dependence, and the ability to cross-present (cell-associated) antigen in various organ systems (3, 4, 6) allow to conclude that XCR1 expression generally demarcates the Batf3-dependent cross-presenting DC, as postulated (3). Thus, XCR1 can be regarded as the lineage marker for cross-presenting DC in the mouse.

All DC Can be Classified into XCR1+ Versus SIRPα+ DC Irrespective of Their Activation State

Is there a surface molecule which would define the remaining, the XCR1− DC population? To examine this question, we re-analyzed all of our correlation studies, which were based on the use of a panel of antibodies directed to DC surface molecules (among others CD11b, CD171a/SIRPα, DCIR2), and the use of two reporter mice (CD207, CX3CR1). In all of our analyses, the only molecule, which showed a consistent and full anti-correlation with XCR1 was CD172a/SIRPα, indicating that this surface molecule could be used to positively demarcate XCR1− DC (3, 4). Based on these studies, we have proposed that XCR1 and SIRPα can be used to classify intestinal DC and possibly all DC in the mouse (4, 36). In order to test the general applicability of this new classification system and to make the XCR1 expression studies directly comparable, we have now isolated DC from a greater variety of lymphoid and non-lymphoid organs and analyzed them in parallel. As can be seen in Figure 1, XCR1 and SIRPα were found to be clearly anti-correlated in all organs tested. At the same time, all DC present in these organs could be assigned to either population. Thus, the anti-correlation between XCR1 and SIRPα can now be demonstrated in a great variety of tissues.
Figure 1

Expression of XCR1 and SIRPα on DC in various tissues at steady state and in inflammation. Cells from different tissues of C57BL/6 mice (either untreated or 14 h after injection of 10 μg LPS i.v.) were isolated after enzymatic digestion (except for the spleen), and DC from lamina propria (LP), Peyer’s patches, and mesenteric LN were additionally enriched by density gradient centrifugation as described before (3, 4). Cells from brachial, axillary, and inguinal LN were pooled for the study of peripheral LN DC. For flow cytometric analysis of XCR1 and SIRPα expression on DC, gates were set on live CD90− CD19− CD317− CD11c+ MHC II+ cells for thymus, spleen, peripheral and mediastinal LN, and on live CD45+ CD3− B220− F4/80− CD11c+ MHC II+ cells for lung, Peyer’s patches, LP, and mesenteric LN. DC from steady-state LN were separated based on their MHC II expression levels into resident (MHC IIint) and migratory (MHC IIhigh) populations.

Expression of XCR1 and SIRPα on DC in various tissues at steady state and in inflammation. Cells from different tissues of C57BL/6 mice (either untreated or 14 h after injection of 10 μg LPS i.v.) were isolated after enzymatic digestion (except for the spleen), and DC from lamina propria (LP), Peyer’s patches, and mesenteric LN were additionally enriched by density gradient centrifugation as described before (3, 4). Cells from brachial, axillary, and inguinal LN were pooled for the study of peripheral LN DC. For flow cytometric analysis of XCR1 and SIRPα expression on DC, gates were set on live CD90CD19CD317CD11c+ MHC II+ cells for thymus, spleen, peripheral and mediastinal LN, and on live CD45+ CD3− B220− F4/80− CD11c+ MHC II+ cells for lung, Peyer’s patches, LP, and mesenteric LN. DC from steady-state LN were separated based on their MHC II expression levels into resident (MHC IIint) and migratory (MHC IIhigh) populations. All published data on the anti-correlation of XCR1 and SIRPα have been obtained in steady-state animals only. It was therefore important to test DC also under inflammatory conditions, when many DC surface molecules are up or down regulated. To this end, animals were injected with 10 μg LPS i.v. and DC examined 14 h later. Under these conditions, SIRPα expression remained rather stable, while XCR1 was slightly down regulated in some organs, however without compromising the discrimination of XCR1+ DC from SIRPα+ DC (Figure 1). Thus, the subdivision of conventional DC based on the expression of XCR1 and SIRPα appears to be universally applicable. With the commercial availability of an antibody directed to mouse (and rat) XCR1 (clone ZET) this classification can now be generally tested under all possible conditions. SIRPα, also abundantly expressed on macrophages, neutrophils and some non-lymphoid tissues, has been implicated in the control of cell phagocytosis (37, 38). Cells expressing CD47, the ligand for SIRPα, appear to be protected from engulfment by phagocytic cells (37). It is thus intriguing to note that both CD205 and Clec9A/DNGR-1 on XCR1+ DC may regulate cell phagocytosis (and antigen processing) in a positive way (39, 40), and SIRPα on XCR1− DC in a negative fashion. This functional feature may possibly contribute to the division of labor between the XCR1+ and SIRPα+ DC populations. All available data (gene expression profile, toll-like receptor expression pattern in particular), indicate that XCR1+ DC are a homogenous DC lineage. Does this mean that all XCR1+ DC function in the same way? This may not be the case. It is of interest in this context that only CD8+ (i.e., XCR1+) splenic DC expressing CD103 were capable to take up cells and to cross-present their antigen to CD8+ T cells in a previous study (41). Only approximately 50–60% of splenic CD8+/XCR1+DC express CD103 under non-inflammatory conditions (3, 41), and the situation appears similar in resident mesenteric LN (4, 42). It is therefore quite possible that XCR1+ DC are functionally heterogenous in terms of cross-presentation, depending on their activation state, their anatomical positioning, and the upregulation of other molecules in reaction to environmental cues.

Are SIRPα+ DC Homogenous in Their Ontogeny and Function?

This question is largely unresolved at present. Edwards et al. (19) showed that CD4+ DC and DN DC, which now would be grouped together as SIRPα+ DC, have a highly similar gene expression profile, suggesting one uniform population. Nevertheless, the authors found some genes to be quite specifically expressed in either population. Other reports also point to a possible ontogenic or functional subdivision of SIRPα+ DC. For example, only a small fraction of SIRPα+ DC in the spleen express CD8 and differ in their expression profile from the remaining DC populations (3, 35). Mice with a CD11c-cre driven deletion of the TF Notch2 showed a rather specific ablation of CD103+ CD11b+ DC in the intestinal system (representing an ablation of approximately 50% of SIRPα+ DC), and these DC were identified as an obligate source of IL-23 in the defense to C. rodentium (43). In another study, depletion of only CD301b+ DC in the CD103− (and thus most likely SIRPα+) fraction of dermal DC resulted in a severe impairment of skin Th2 immunity (44). More studies will be required to make the results comparable and to answer the question on the heterogeneity of SIRPα+ DC.

Can the Subdivision of DC into XCR1+ and SIRPα+ DC be also Applied in the Human?

In the human, in vivo experiments on the function of DC subsets are not possible, access to DC in various compartments is limited, and the frequency of DC in the blood is very low. As a result, data on human DC are rather scarce. At the gene expression level, it was established that mouse CD8+ DC correspond to human CD141+ (BDCA3+) DC, and mouse CD11b+ DC to human CD1c+ (BDCA1+) DC (45), the two identified human DC populations (46). Support for this correlation came from functional studies, which demonstrated a superior capacity of CD141+ DC for cross-presentation (47–49). Gene expression studies rely on previous sorting of DC populations and thus depend on the use of “correct” surface markers. Regarding these surface markers, however, human DC somewhat differ from mouse DC. XCR1 is exclusively expressed on CD141+ DC, but not on all of them. Analyses of DC obtained from peripheral blood, thymus, and spleen demonstrated that an average of 80% of CD141+ DC express XCR1 (own unpublished data). At the same time, all of the CD141+ DC express Clec9A/DNGR-1, which in the human appears to be restricted to conventional DC, as it is not found on plasmacytoid DC (40, 50, 51). Thus, in the human, expression of XCR1 and Clec9A/DNGR-1 is not fully correlated (own unpublished data), as is the case with conventional DC in the mouse. CADM1, another surface molecule tightly associated with Batf3-dependent cross-presenting DC in the mouse, gives a bright signal in the human and is perfectly correlated with CD141 [(52), and own unpublished data]. Thus, it is possible that cross-presenting DC in the human can be demarcated by the co-expression of CD141, Clec9A, and CADM1. This assumption is further supported by the observation that SIRPα on DC in various human organs is correlated with CD1c and fully anti-correlated with CD141 (own unpublished data). Thus, on a broad scale, it is quite clear that the human CD141+ DC contain the cross-presenting DC population. Whether all of CD141+ DC can cross-present or whether this function is restricted to the XCR1+ CD141+ DC remains to be determined. Further detailed insight into this question will require gene expression and functional studies comparing the majority of CD141+ DC expressing XCR1 and the 20% fraction of CD141+ DC negative for XCR1.

Conclusion and Perspectives

In summary, recent developments in the field allowed major progress in the classification of mouse and human DC. Particularly in the mouse, where the subdivision of DC was notoriously difficult, the use of a general DC classification scheme based on the expression of XCR1 and SIRPα will make experimental results more precise and also more comparable. Without any doubt, the use of additional surface molecules will continue to be necessary in order to better understand the functional states of DC of a given lineage. Thus the old “markers” such as CD4, CD8, CD11b, or CD103 will not become obsolete, but they will obtain a new role in the functional analyses of XCR1+ versus SIRPα+ mouse DC subpopulations.

Conflict of Interest Statement

The Associate Editor, Dr. Christian Kurts, declares that despite having collaborated with author Richard A. Kroczek in the past 2 years, there has been no conflict of interest during the handling of this manuscript. The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Luka Čičin-Šain; Mario Clerici; Federico S Colombo; Laura Cook; Anne Cooke; Andrea M Cooper; Alexandra J Corbett; Antonio Cosma; Lorenzo Cosmi; Pierre G Coulie; Ana Cumano; Ljiljana Cvetkovic; Van Duc Dang; Chantip Dang-Heine; Martin S Davey; Derek Davies; Sara De Biasi; Genny Del Zotto; Gelo Victoriano Dela Cruz; Michael Delacher; Silvia Della Bella; Paolo Dellabona; Günnur Deniz; Mark Dessing; James P Di Santo; Andreas Diefenbach; Francesco Dieli; Andreas Dolf; Thomas Dörner; Regine J Dress; Diana Dudziak; Michael Dustin; Charles-Antoine Dutertre; Friederike Ebner; Sidonia B G Eckle; Matthias Edinger; Pascale Eede; Götz R A Ehrhardt; Marcus Eich; Pablo Engel; Britta Engelhardt; Anna Erdei; Charlotte Esser; Bart Everts; Maximilien Evrard; Christine S Falk; Todd A Fehniger; Mar Felipo-Benavent; Helen Ferry; Markus Feuerer; Andrew Filby; Kata Filkor; Simon Fillatreau; Marie Follo; Irmgard Förster; John Foster; Gemma A Foulds; Britta Frehse; Paul S Frenette; Stefan Frischbutter; Wolfgang Fritzsche; David W Galbraith; Anastasia Gangaev; Natalio Garbi; Brice Gaudilliere; Ricardo T Gazzinelli; Jens Geginat; Wilhelm Gerner; Nicholas A Gherardin; Kamran Ghoreschi; Lara Gibellini; Florent Ginhoux; Keisuke Goda; Dale I Godfrey; Christoph Goettlinger; Jose M González-Navajas; Carl S Goodyear; Andrea Gori; Jane L Grogan; Daryl Grummitt; Andreas Grützkau; Claudia Haftmann; Jonas Hahn; Hamida Hammad; Günter Hämmerling; Leo Hansmann; Goran Hansson; Christopher M Harpur; Susanne Hartmann; Andrea Hauser; Anja E Hauser; David L Haviland; David Hedley; Daniela C Hernández; Guadalupe Herrera; Martin Herrmann; Christoph Hess; Thomas Höfer; Petra Hoffmann; Kristin Hogquist; Tristan Holland; Thomas Höllt; Rikard Holmdahl; Pleun Hombrink; Jessica P Houston; Bimba F Hoyer; Bo Huang; Fang-Ping Huang; Johanna E Huber; Jochen Huehn; Michael Hundemer; Christopher A Hunter; William Y K Hwang; Anna Iannone; Florian Ingelfinger; Sabine M Ivison; Hans-Martin Jäck; Peter K Jani; Beatriz Jávega; Stipan Jonjic; Toralf Kaiser; Tomas Kalina; Thomas Kamradt; Stefan H E Kaufmann; Baerbel Keller; Steven L C Ketelaars; Ahad Khalilnezhad; Srijit Khan; Jan Kisielow; Paul Klenerman; Jasmin Knopf; Hui-Fern Koay; Katja Kobow; Jay K Kolls; Wan Ting Kong; Manfred Kopf; Thomas Korn; Katharina Kriegsmann; Hendy Kristyanto; Thomas Kroneis; Andreas Krueger; Jenny Kühne; Christian Kukat; Désirée Kunkel; Heike Kunze-Schumacher; Tomohiro Kurosaki; Christian Kurts; Pia Kvistborg; Immanuel Kwok; Jonathan Landry; Olivier Lantz; Paola Lanuti; Francesca LaRosa; Agnès Lehuen; Salomé LeibundGut-Landmann; Michael D Leipold; Leslie Y T Leung; Megan K Levings; Andreia C Lino; Francesco Liotta; Virginia Litwin; Yanling Liu; Hans-Gustaf Ljunggren; Michael Lohoff; Giovanna Lombardi; Lilly Lopez; Miguel López-Botet; Amy E Lovett-Racke; Erik Lubberts; Herve Luche; Burkhard Ludewig; Enrico Lugli; Sebastian Lunemann; Holden T Maecker; Laura Maggi; Orla Maguire; Florian Mair; Kerstin H Mair; Alberto Mantovani; Rudolf A Manz; Aaron J Marshall; Alicia Martínez-Romero; Glòria Martrus; Ivana Marventano; Wlodzimierz Maslinski; Giuseppe Matarese; Anna Vittoria Mattioli; Christian Maueröder; Alessio Mazzoni; James McCluskey; Mairi McGrath; Helen M McGuire; Iain B McInnes; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Stephen D Miller; Kingston H G Mills; Hans Minderman; Jenny Mjösberg; Jonni Moore; Barry Moran; Lorenzo Moretta; Tim R Mosmann; Susann Müller; Gabriele Multhoff; Luis Enrique Muñoz; Christian Münz; Toshinori Nakayama; Milena Nasi; Katrin Neumann; Lai Guan Ng; Antonia Niedobitek; Sussan Nourshargh; Gabriel Núñez; José-Enrique O'Connor; Aaron Ochel; Anna Oja; Diana Ordonez; Alberto Orfao; Eva Orlowski-Oliver; Wenjun Ouyang; Annette Oxenius; Raghavendra Palankar; Isabel Panse; Kovit Pattanapanyasat; Malte Paulsen; Dinko Pavlinic; Livius Penter; Pärt Peterson; Christian Peth; Jordi Petriz; Federica Piancone; Winfried F Pickl; Silvia Piconese; Marcello Pinti; A Graham Pockley; Malgorzata Justyna Podolska; Zhiyong Poon; Katharina Pracht; Immo Prinz; Carlo E M Pucillo; Sally A Quataert; Linda Quatrini; Kylie M Quinn; Helena Radbruch; Tim R D J Radstake; Susann Rahmig; Hans-Peter Rahn; Bartek Rajwa; Gevitha Ravichandran; Yotam Raz; Jonathan A Rebhahn; Diether Recktenwald; Dorothea Reimer; Caetano Reis e Sousa; Ester B M Remmerswaal; Lisa Richter; Laura G Rico; Andy Riddell; Aja M Rieger; J Paul Robinson; Chiara Romagnani; Anna Rubartelli; Jürgen Ruland; Armin Saalmüller; Yvan Saeys; Takashi Saito; Shimon Sakaguchi; Francisco Sala-de-Oyanguren; Yvonne Samstag; Sharon Sanderson; Inga Sandrock; Angela Santoni; Ramon Bellmàs Sanz; Marina Saresella; Catherine Sautes-Fridman; Birgit Sawitzki; Linda Schadt; Alexander Scheffold; Hans U Scherer; Matthias Schiemann; Frank A Schildberg; Esther Schimisky; Andreas Schlitzer; Josephine Schlosser; Stephan Schmid; Steffen Schmitt; Kilian Schober; Daniel Schraivogel; Wolfgang Schuh; Thomas Schüler; Reiner Schulte; Axel Ronald Schulz; Sebastian R Schulz; Cristiano Scottá; Daniel Scott-Algara; David P Sester; T Vincent Shankey; Bruno Silva-Santos; Anna Katharina Simon; Katarzyna M Sitnik; Silvano Sozzani; Daniel E Speiser; Josef Spidlen; Anders Stahlberg; Alan M Stall; Natalie Stanley; Regina Stark; Christina Stehle; Tobit Steinmetz; Hannes Stockinger; Yousuke Takahama; Kiyoshi Takeda; Leonard Tan; Attila Tárnok; Gisa Tiegs; Gergely Toldi; Julia Tornack; Elisabetta Traggiai; Mohamed Trebak; Timothy I M Tree; Joe Trotter; John Trowsdale; Maria Tsoumakidou; Henning Ulrich; Sophia Urbanczyk; Willem van de Veen; Maries van den Broek; Edwin van der Pol; Sofie Van Gassen; Gert Van Isterdael; René A W van Lier; Marc Veldhoen; Salvador Vento-Asturias; Paulo Vieira; David Voehringer; Hans-Dieter Volk; Anouk von Borstel; Konrad von Volkmann; Ari Waisman; Rachael V Walker; Paul K Wallace; Sa A Wang; Xin M Wang; Michael D Ward; Kirsten A Ward-Hartstonge; Klaus Warnatz; Gary Warnes; Sarah Warth; Claudia Waskow; James V Watson; Carsten Watzl; Leonie Wegener; Thomas Weisenburger; Annika Wiedemann; Jürgen Wienands; Anneke Wilharm; Robert John Wilkinson; Gerald Willimsky; James B Wing; Rieke Winkelmann; Thomas H Winkler; Oliver F Wirz; Alicia Wong; Peter Wurst; Jennie H M Yang; Juhao Yang; Maria Yazdanbakhsh; Liping Yu; Alice Yue; Hanlin Zhang; Yi Zhao; Susanne Maria Ziegler; Christina Zielinski; Jakob Zimmermann; Arturo Zychlinsky
Journal:  Eur J Immunol       Date:  2019-10       Impact factor: 6.688

10.  Defining Mononuclear Phagocyte Subset Homology Across Several Distant Warm-Blooded Vertebrates Through Comparative Transcriptomics.

Authors:  Thien-Phong Vu Manh; Jamila Elhmouzi-Younes; Céline Urien; Suzana Ruscanu; Luc Jouneau; Mickaël Bourge; Marco Moroldo; Gilles Foucras; Henri Salmon; Hélène Marty; Pascale Quéré; Nicolas Bertho; Pierre Boudinot; Marc Dalod; Isabelle Schwartz-Cornil
Journal:  Front Immunol       Date:  2015-06-19       Impact factor: 7.561

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