s2fieldsofstudy: Biology Medicine

text:
Association of the miRNA146a rs2910164 C>G Polymorphism with Head and Neck Cancer Risk: A Meta-analysis

Objective: To investigate any association of the miRNA146a rs2910164 C>G polymorphism with head and neck cancer risk. Materials and Methods: The Medline, PubMed, PUBMED, EMBASE, Web of Science, WanFang and CNKI databases were searched and a meta-analysis was conducted using RevMan 5.2 software. Results: After searching and evaluating the literature, a total seven papers involving 2,766 patients with head and neck cancer and 6,603 healthy controls were included into this meta analysis. The results showed that there were no significant differences between patients and healthy controls overall for the miRNA rs2910164 C>G gene polymorphism (dominant model:OR=0.78, 95%CI:0.58-1.04, P=0.09; recessive model:OR=0.86, 95%CI:0.67-1.12, P=0.27;GG:CC:OR=0.75, 95%CI:0.52-1.08, P=0.12;GC:CC:OR=0.79, 95%CI:0.60-1.04, P=0.10). However, a significant association of miRNA rs2910164 C>G gene polymorphism with Chinese head and neck cancer risk was noted, limited to the dominant model (OR=0.68, 95%CI:0.50-0.95, P=0.02;GG:CC:OR=0.62, 95%CI:0.42-0.92, P=0.02;GC:CC:OR=0.72, 95%CI:0.520.99, P=0.04). Conclusions: miRNA146a rs2910164 C>G polymorphism is not associated with head and neck cancer risk in general, but tehre may be link in Chinese.

Introduction
MircoRNAs (miRNAs) are small fragment RNAs containing approximately 20-22 nucleotides, which can target specific mRNAs and negatively regulate their translational efficiency and stability. (Bartel 2004) Previous studies revealed that one miRNA could influence expression of several target genes. According to regulating different target RNAs, miRNAs can participate in cellular processes including proliferation, differentiation, and survival (Ambros, 2004).
It has been shown that aberrant expression of miRNAs was related to the etiology, diagnosis and prognosis of many tumors, including head and neck cancer. (Liu et al., 2010;Lung et al., 2013) Single nucleotide polymorphism (SNP) is a variation of DNA sequence that occurs when nucleotides (included A, T, C or G) change in at least 1% of a certain population. The epidemiologic evidence shows that miRNA genetic variations are associated with progression to head and neck cancer. (Orsós et al.,

Association of the miRNA146a rs2910164 C>G Polymorphism with Head and Neck Cancer Risk: A Meta-analysis
Xiang-Jun Chen 1 *, Tao-You Zhou 2 , Min Chen 1 , Nian Li 1 , Fang Liu 1 al., 2014) Although lots of published studies shown the relation between miRNA rs2910164 C>G polymorphism with cancer risk, a less knowledge about the head and neck cancer risk is marked.
In here, we investigate the association of miRNA rs2910164 C>G polymorphism with cancer risk by a meta analysis.

Study selection
A Medline, PubMed, PUBMED, EMBASE, Web of Science, WanFang, CNKI databases search was performed on all studies between January 2000 and September 2014. The following English keywords were used: "miRNA", "miRNA146a", "neoplasms" or "carcinoma" or "tumor" and "polymorphism". Only studies on human and in English were considered for inclusion. This search was supplemented by manual research and a review of reference lists. We were not blind to author, institutions, journals while we selected trials or extracted the data .

Data extraction and quality assessment
Data were extracted by two independent reviewers using standard forms. The recorded data included first author, year of publication, country or district, tumor type, gene type. All relevant text, tables and figures were reviewed for data extraction. Discrepancies between the two reviews were resolved by discussion and consensus. The quality of all selected studies was ranked in accordance with the score of the non-randomized controlled clinical trial quality evaluation standard.

Statistical methods
Related-data from the comparative groups was compared using Χ 2 test for categorical data, a significant difference was considered when P was less than 0.05; the meta-analysis was performed using the Review Manager (RevMan) software, version 5.2.We analyzed dichotomous variables using estimation of odds ratios (OR) with a 95% confidence interval (95%CI). Heterogeneity was evaluated byΧ 2 and I 2 . We considered heterogeneity to be present if the I 2 statistic was >50%, P<0.05 was considered significant.

Results
In here, total seven papers involved 2766 patients with head and neck cancer and 6603 healthy control were included into this meta analysis. (Liu et al., 2010;Chu et al., 2012;Hung et al., 2012;Lung et al., 2013;Orsós et al., 2013;Huang et al., 2014;Lin et al., 2014) Among five papers involving Chinese, one was involving American and Hungarians, respectively. Two papers involving oral cancer and nasopharyngeal carcinoma and squamous cell carcinoma, respectively, one involving laryngeal cancer. More detail could be found in Table 1.

No association between miRNA rs2910164 C>G gene polymorphism and tumors
In here, there were 7 documents shown that miRNA rs2910164 C>G gene polymorphism involved in the     (Figure 1).

Part association between miRNA rs2910164 C>G gene polymorphism and tumors in Chinese
As shown in Figure 2A, C and D, the meta analysis results in the subgroup analysis by ethnicity revealed that there were a significant differences on association of miRNA rs2910164 C>G gene polymorphism with Chinese head and neck cancer risk between case and healthy control.

Discussion
In here, we investigated the association of miRNA rs2910164 C>G gene polymorphism and cancer risk. The meta analysis results shown that there were no significant differences between patients and healthy control on association of miRNA rs2910164 C>G gene polymorphism involved in the cancer risk. However, there was a part association of miRNA rs2910164 C>G gene polymorphism with cancer risk in Chinese.
It is well known that individual susceptibility plays an important role in the development of most cancers. Genes polymorphisms involved in oncogenesis may have accounted for the susceptibility. Therefore, genetic susceptibility, especially single nucleotide polymorphism (SNP), to cancer has been a research focus in scientific community. Many studies have been done for figuring out the role of SNPs present in precursor and mature miRNA and their influences on susceptibility and progression of various cancers. Recent studies have identified that miRNA196 may interact with several transcription factors and involve in cancer development and progression Chen et al., 2011). Some findings suggest that overexpression of miRNA196 leads to more favorable prognosis and survival in leukemia (Popovic et al., 2009). In addition, miRNA196 is associated with inflammation in specific cancers (Schetter et al., 2009). Furthermore, Christensen et al., reports a polymorphism in the mature sequence of miRNA196a2 in a case-control study (n = 1, 039) of head and neck squamous cell carcinoma (HNSCC) (Christensen et al., 2010). When the authors stratified on tumor site they did not observe a significant association between oral cancer and miRNA196a2, though the effect estimate was protective, similar to the results presented in this study. Although the reason for those discrepancies is not well-known, the different results from the report and the present study may relate to the racial/ethnic difference. In our meta analysis, there was no significant differences on the association of miRNA rs2910164 C>G gene polymorphism with cancer risk, however, no difference between Chinese patients and healthy control on the relation between miRNA rs2910164 C>G gene polymorphism and cancer risk.
The meta analysis shown a significant association between miR-146a(rs2910164) with hepatocellular carcinoma, cervical squamous cell carcinoma and prostate cancer, (Yin et al., 2013) but not with head and neck cancer risk in our result, indicating that miRNA146a rs2910164 polymorphism may play different roles in various human malignancies.
In conclusion, our meta analysis results show that miRNA 146a rs2910164 gene polymorphism more likely contribute to be associated with cancer risk in Chinese. Future well-designed and larger population studies are of great value to confirm these findings.


extfieldsofstudy: Biology Medicine

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Presumable role of outer membrane proteins of Salmonella containing sialylated lipopolysaccharides serovar Ngozi, sv. Isaszeg and subspecies arizonae in determining susceptibility to human serum

Background The O48 group comprises Salmonella bacteria containing sialic acid in the lipopolysaccharide (LPS). Bacteria with sialylated surface structures are described as pathogens that avoid immunological response of the host by making similar their surface antigens to the host’s tissues (molecular mimicry). It is known that the smooth-type LPS of Salmonella enterica and outer membrane proteins (OMP) PgtE, PagC and Rck mediate serum resistant phenotype by affecting complement system (C). The aim of this study was to investigate C3 component activation by Salmonella O48 LPS and OMP. Findings In the present study, we examined C3 component deposition on the three Salmonella O48 strains: S. enterica subspecies enterica serovar Ngozi, S. enterica subsp. enterica sv. Isaszeg, and S.enterica subsp. arizonae containing sialic acid in the O-specific part of LPS. The greatest C3 deposition occurred on Salmonella sv. Isaszeg cells (p < 0.005) as well as on their LPS (low content of sialic acid in LPS) (p < 0.05) after 45 min of incubation in 50% human serum. Weaker C3 deposition ratio on the Salmonella sv. Ngozi (high content of sialic acid in LPS) and Salmonella subsp. arizonae (high content of sialic acid in LPS) cells correlated with the lower C3 activation on their LPS. Immunoblotting revealed that OMP isolated from the tested strains also bound C3 protein fragments. Conclusions We suggest that activation of C3 serum protein is dependent on the sialic acid contents in the LPS as well as on the presence of OMP in the range of molecular masses of 35–48 kDa.

Background
Despite the tremendous knowledge about the virulence factors of Salmonella bacteria, Salmonella enterica is still an important cause of gastrointestinal infections as well as systemic infections [1]. The mechanisms employed by Salmonella strains to evade host immunological defenses are not entirely understood. When the bacteria leave the intestinal tract, they may spread into the bloodstream where they are recognized by the complement system (C). System C is activated via three pathways: the alternative pathway (AP), the classical pathway (CP), and the lectin pathway (LP). The pathways converge at the step of C3 deposition, the crucial stage in C activation [2].
Incorporation of the sialic acid into the bacterial surface glycoconjugates usually results in an increase of serum resistance (SR) of some Gram-negative bacteria such as Neisseria meningitidis, Neisseria gonorrhoeae, Haemophilus somnus [3][4][5]. Our previous investigations showed that the presence of sialylated LPS in a group of Salmonella O48 (21 strains) was not sufficient to relate bacterial resistance (SR) to the bactericidal activity of human serum (HS), and bovine serum (BS).
Nothing is known about the influence of sialylated bacterial surface structures on C3 fixation in serum. The role of the outer membrane proteins (OMP) in Salmonella susceptibility to serum has not also been investigated fully. It is known that surface-exposed protein PagC (17)(18)(19) confers SR in Salmonella sv. Choleraesuis (O:7) [6] and Rck (17 kDa) of Salmonella sv. Typhimurium (O:4) and Enteritidis (O:9) expressed in Escherichia coli BL21 were associated with resistance to AP [7]. Ramu et al. [8] described an example of a surface protein PgtE (35 kDa) of S. enterica that proteolytically cleaved C3 and enhanced bacterial resistance to human serum. This paper highlights the importance of sialylated LPS and OMP in C3 protein binding.

Sera
Human serum (HS) was taken from 20 healthy donors in Regional Centre of Transfusion Medicine and Blood Bank the name of Prof. T. Dorobisz in Wrocław, Poland. It was conducted according to the principles expressed in the Declaration of Helsinki. The serum was frozen in 1 ml aliquots at −70°C for a period no longer than 3 months. A suitable volume of serum was thawed immediately before use. Each portion was used only once.

Determination of the C3 concentration in human serum (HS)
The concentration of C3 in HS was estimated with radial immunodiffusion method using specific antibodies (The Binding Site).

Bactericidal assay
The bactericidal assay was performed as described previously [10]. Briefly, log-phase cultures of the bacteria were suspended in 50% human serum (HS) or 50% heat inactivated serum (56°C for 30 min, HS-IN) and incubated at 37°C with the numbers of viable Salmonellae determined by serial dilution and plating in triplicate on Luria-Bertani agar at various time points. The number of colony-forming units (CFU/ml) at time 0 was taken as 100%. Strains with survival rates below 90% after 45 min of incubation were classified as serum sensitive (SS).  Table 1 The origin, antigenic and phenotypic characteristic of the Salmonella O48 strains used in this study CP classical pathway of complement system (C), LP lectin pathway of C, AP alternative pathway of C. a [16]. h Independent activation of the CP/LP pathways or AP in the bactericidal mechanism of C activation.

Isolation of outer membrane proteins (OMP) and lipopolysaccharide (LPS)
The isolation of OMP from the tested strains were performed with the detergent Zwittergent Z 3-14 ® (Calbiochem) according to Murphy and Bartos [11]. OMP quantifications were done with a bicinchoninic acid (BCA) Protein Assay Kit (Pierce). LPS was isolated with an LPS Extraction Kit according to the manufacturer's instruction (Intron Biotechnology).

Enzyme-linked immunosorbent assay (ELISA)
Complement C3 binding assay for bacterial cells was carried out by indirect ELISA according to Alberti et al. [12]. Complement C3 activation assay for LPS was performed by a direct sandwich ELISA according to Holmskov-Nielsen [13]. The assays were performed on the pool of HS with the correct of parameters of C3 complement protein and lacking specific anti-Salmonella antibodies.

Electrophoresis and immunobloting
Samples of OMP complexes were electrophoresed under reducing conditions (SDS-PAGE) on 6 and 12.5% gels by the method of Laemmli [14] and in native (nonreducing) conditions (blue native polyacrylamide gel electrophoresis, BN-PAGE) on 2 and 12% gels according to Swamy et al. [15]. The samples were then transferred to PVDF membranes and immunoblotted to detect C3 fragments bound to OMP. Western Blot Signal Enhancer (Pierce) was used before blocking nonspecific binding sites on the PVDF membrane. Coomassie brilliant blue staining demonstrated protein band patterns characteristic of tested Salmonellae OMP complexes. The detection of C3 bound to OMP was done with polyclonal rabbit anti-C3c antibodies (Dako) diluted in the proportion of 1/400 and the polyclonal goat anti-rabbit immunoglobulins/ HRP (Dako) diluted 1/2000. Blots were imagined with an Opti-4CN Substrate Kit (Bio-Rad). The results were confirmed in three independent experiments.

Statistical analysis
The data obtained for the bactericidal activity of HS were statistically analyzed using the ANOVA Kruskal-Wallis test. Comparisons between the strains and their LPS in the ELISA tests were made with the ANOVA Friedman and Kendall rank correlation coefficient test (Statistica.pl v. 9.0, Statsoft, Krakow, Poland).

Results
The concentration of C3 in HS pool was at the level of 1,217 mg/l. The reference concentration in healthy human serum is in the range of 970-1,576 mg/l. Three tested strains were SS (Figure 2). There was significant difference in the killing of the tested strains. The greatest decrease in bacterial numbers was observed for Salmonella sv. Ngozi and Salmonella sv. Isaszeg. Salmonella subsp. arizonae turned out to be the less sensitive to the bactericidal activity of HS (p < 0.05). Its survival rate reached 53% after 10 min of incubation, 55% after 30 min of incubation, and 42% after 45 min of incubation. HS-IN was performed in order to confirm that killing of bacteria was C-mediated. Thus, their survival was not reduced significantly. Having the knowledge about the susceptibility of sialylated Salmonella strains to HS, the extent of C3 complement components deposition on the bacterial cells was determined (Figure 3). The highest C3 deposition rate was noted for Salmonella sv. Isaszeg (p < 0.005).
In control 1 (HS-IN), an A 492 value was measured about 0.3, for control 2 no A 492 signal was detected. The results obtained for the surface antigens indicated that both LPS (direct sandwich ELISA) and OMP (immunoblots) antigens bound C3. It was observed C3 component activation occurred at a similar rate for LPS isolated from Salmonella at 15 min (p > 0.05) but different after 45 min of incubation (Figure 4) with the highest A 492 for Salmonella sv. Isaszeg (p < 0.05). The low absorbance (A 492 = 0.4) was noted for control sets containing HS or PBS. Considering OMP, C3 binding was obtained when OMP were electrophoresed in nonreducing conditions (BN-PAGE) ( Figure 5). SDS-PAGE produced additional information that efficient C3 fixation occurred on the OMP bands of the molecular masses in the range of 35-48 kDa ( Figure 6).

Discussion
Salmonella O48 is the only group possessing sialylated LPS among all known Salmonella bacteria. In this study, we investigated the role of LPS and OMP in determining the susceptibility of three O48 strains: Salmonella sv. Isaszeg, Salmonella subsp. arizonae, and Salmonella sv. Ngozi to HS. We have confirmed our previous findings that the presence of smooth type, sialylated LPS  in Salmonella O48 isolates did not protect against HS C-mediated killing [16] (Table 1), in contrast to others' previous reports [5,17,18]. Sialylated lipopolysaccharide (LPS) was described in the context of molecular mimicry phenomenon connected to the onset of autoimmunity in humans [19]. Most autoimmune diseases are chronic, and they may be amplified by past infections [20]. The novelty of this paper is the first analysis of C3 activation on Salmonella isolates belonging to the O48 serogroup and their surface antigens: LPS and OMP. In general, endotoxin is the strong stimulant for the immune system, but in this case, the sialic acid substitutions in the O-specific region of LPS (Table 1) Figure 4). Salmonella sv. Isaszeg LPS, which was characterized to contain sialic acid at almost non-detectable level [sialic acid/Kdo ratio (%) < 1], enhanced the C3 protein fixation. C3 protein binding to Salmonella sv. Isaszeg LPS was more constant, while in the case of Salmonella subsp. arizonae and Salmonella sv. Ngozi seemed to decay over time. The greatest C3 binding on the Salmonella sv. Isaszeg LPS might also reflect the higher C3 fragmentation on the bacterial cells.
It was demonstrated that OMP also interact with the C3 complement component. Western blotting in which OMP under reducing condition were used helped to show that C3 binding occurs on the OMP in the range Figure 5 Immunoblot detection of C3c fragments on native OMP. OMP isolated with Zwittergent Z 3-14 detergent ® . OMP patterns were determined by blue native polyacrylamide gel electrophoresis (BN-PAGE) (a) and C3 binding confirmed by Western blotting (b). Electrotransfer conducted at 100 V for 1 h. Lane 1 molecular-weight marker 26625 (Thermo Scientific). The OMP concentrations were 10 μg/well (*), and 12 μg/well (**), respectively.

Figure 6
Immunoblot detection of C3c fragments on outer membrane proteins (OMP) under reducing conditions. OMP isolated with Zwittergent Z 3-14 detergent ® OMP patterns were determined by sodium dodecyl suphate-polyacrylamide gel electrophoresis (SDS-PAGE) (10 μg/well) (a) and C3 binding confirmed by Western blotting, (20 μg/well) (b). Electrotransfer conducted at 50 V for 1 h. Lane 1 molecular-weight marker A8889 (AppliChem). of molecular masses of 35-48 kDa. It is worth emphasizing that this paper describes a method of immunoblotting performed for OMP isolated with a zwitterionic detergent. It is methodologically easier to show C3 binding onto the native OMP (BN-PAGE) but the weakness of this technique is a poor resolution of the OMP, hence it is not possible to point out distinct OMP, which interact with C3 fragments. In turn, SDS-PAGE is useful to resolve proteins as distinct bands, but the electrotransfer occurs less efficiently, therefore the signals coming from the detected C3 fragments on OMP are less satisfactory.
Our results relate to a problem of molecular mimicry in which the microorganisms' camouflage occurs through sialic acid incorporation into bacterial surface structures. The phenomenon of mimicry as a cause of autoimmune diseases is unknown, and its reason has been discussed [21,22]. In the future, the premises like those presented in this paper may be helpful to construct antibacterial vaccines against autoimmune-connected infections.

Conclusions
We might conclude, that both sialic acid containing LPS and OMP of Salmonella O48 play important role in C3 activation. We suggest that the differential sensitivity of tested bacteria to HS may be due to a weaker C3 activation on strongly sialylated LPS and a binding of C3 components to the OMP in the range of molecular weights of 35-48 kDa.


Thymic Crosstalk Coordinates Medulla Organization and T-Cell Tolerance Induction

The thymus ensures the generation of a functional and highly diverse T-cell repertoire. The thymic medulla, which is mainly composed of medullary thymic epithelial cells (mTECs) and dendritic cells (DCs), provides a specialized microenvironment dedicated to the establishment of T-cell tolerance. mTECs play a privileged role in this pivotal process by their unique capacity to express a broad range of peripheral self-antigens that are presented to developing T cells. Reciprocally, developing T cells control mTEC differentiation and organization. These bidirectional interactions are commonly referred to as thymic crosstalk. This review focuses on the relative contributions of mTEC and DC subsets to the deletion of autoreactive T cells and the generation of natural regulatory T cells. We also summarize current knowledge regarding how hematopoietic cells conversely control the composition and complex three-dimensional organization of the thymic medulla.

Introduction
Healthy individuals mount effective T-cell immune responses directed against pathogens while avoiding autoimmune attacks directed toward self-antigens. The random generation of the T-cell receptor (TCR) repertoire results in the production of autoreactive TCRs, which necessitates their selection in the thymus (1). Anatomically, the thymus is compartmentalized into an outer region called the cortex and an inner region called the medulla. The cortex supports early stages of T-cell differentiation, including the positive selection of CD4 + and CD8 + thymocytes. Nonetheless, the cortex also supports a substantial loss of DP thymocytes that are specific for ubiquitous self-antigens (2,3). The medulla sustains the induction of T-cell tolerance, which is established by two distinct main mechanisms: negative selection (also known as clonal deletion) of potentially hazardous autoreactive T cells, and the production of natural regulatory T (nTreg) cells. Negative selection consists of the deletion of immature T cells bearing TCRs, which are highly reactive against self-antigens (4, 5). Although this process is remarkably efficient, it cannot completely purge the TCR repertoire of self-reactive specificities and thus allows potentially hazardous T cells to reach the periphery. To control potential deleterious effects of autoreactive T cells that have escaped the negative selection process, the thymus produces a specific subset of T cells called nTregs. This cell type belongs mainly to the CD4 + T-cell lineage and specifically expresses the transcription factor forkhead box P3 (FOXP3), which is essential for their development and function (6). The induction of T-cell tolerance is established within the medullary microenvironment, which is composed of a dense 3D network of antigen-presenting cells (APCs), namely thymic dendritic cells (DCs) and medullary thymic epithelial cells (mTECs) (Figure 1A). In this review, we discuss our current knowledge regarding the phenotypic features of the different subsets of thymic DCs and mTECs as well as their relative contribution to the induction of T-cell tolerance. We also summarize recent progress in our understanding of the thymic crosstalk that sustains the composition and complex three-dimensional (3D) organization of the medulla.

Features of Thymic DCs
In the thymus, DCs represent only approximately 0.5% of the total thymic cells, which is less than that in other lymphoid organs. Although peripheral DCs have been long described as heterogeneous, only recently thymic DCs have also been shown to constitute a heterogeneous cell population. It is now accepted that thymic DCs comprise three distinct subsets: two conventional DC (cDC) subsets and plasmacytoid DCs (pDCs) (Figure 1B) (7). The two subsets of cDCs, which express high levels of CD11c, have different origins and can be distinguished based on specific cell surface markers. The CD11b − CD8α hi Sirpα − (signal regulatory protein α) cDCs develop intrathymically and are commonly termed intrathymic or resident cDCs. In contrast, the CD11b + CD8α lo Sirpα + cDCs have a myeloid origin and continuously migrate from the periphery via the blood circulation into the thymus (8). They are referred to as extrathymic or migratory cDCs. Under steady-state conditions, resident and migratory cDCs represent two-thirds and one-third of the thymic cDCs, respectively (7). Resident cDCs arise from a common T/DC precursor and reside exclusively in the thymus throughout their long life (7,9,10). They express CD8α mRNA and display CD8αα homodimers at their surface. In contrast, migratory cDCs do not synthesize CD8α mRNA, and the low expression level of CD8α observed at the surface of this cell type is a consequence of the uptake of cell surface CD8αβ heterodimers from thymocytes (11). Strikingly, following their migration in the thymus, migratory cDCs upregulate CD80 and CD86 costimulatory molecules as well as CD11c and MHCII molecules (8). In addition, in contrast to resident cDCs, migratory cDCs proliferate extensively and mature in interdigitating cDCs. Consequently, migratory cDCs overall exhibit a more activated phenotype compared with their resident counterparts (12).
The third subset of thymic DCs corresponds to pDCs, which continuously migrate to the thymus via the bloodstream. They are defined as CD11c int B220 + PDCA-1 + and represent approximately 30% of the total thymic DCs ( Figure 1B). Like their immature counterparts in the periphery, thymic pDCs present a plasmacytoid morphology rather than a dendritic morphology. Upon migration in the thymus, pDCs enlarge and adopt a semimature phenotype via the upregulation of CD11c and MHCII molecules (8). Moreover, they express high levels of Toll-like receptors (TLR) 7 and 9 and low levels of TLR 2, 3, and 4 (13). Overall, migratory DCs, i.e., pDCs and cDCs, represent 50% of the total thymic DCs. Parabiosis experiments have shown that migratory DCs are localized in the medulla and at the cortico-medullary junction (CMJ) (8). Antigen-loaded peripheral pDCs were found to be localized preferentially at the CMJ upon their migration in the thymus (14). Intriguingly, both pDCs and migratory cDCs change their phenotype shortly after entering the thymus, suggesting that the medullary microenvironment provides specific factors that contribute to the functional specification of these DC subsets. The identity of these factors that drive the maturation as well as the extensive proliferation of migratory DCs remains elusive.

Features of mTECs
Similarly to DCs, mTECs also constitute a heterogeneous cell population that represent less than 1% of the total thymic cells (15). Histologically, mTECs are commonly identified by the expression of cytokeratin-5, 14, MTS10, and ERTR5 markers as well as by reactivity with the lectin Ulex Europaeus Agglutinin 1 (UEA-1) (16)(17)(18)(19). However, it is not completely clear whether these markers stain the bulk of mTECs or whether they preferentially detect some specific subsets. However, the whole mTEC compartment can be identified by flow cytometry and is generally defined as CD45 − EpCAM + (epithelial cell adhesion molecule) Ly51 −/lo . mTEC subsets can be further defined with respect to other markers, including the levels of cell surface MHCII and CD80 expression as well as of the transcription factor Aire ( Figure 1C). Recent advances have established the relationship between these different cell subsets by demonstrating that mTEC differentiation proceeds along distinct maturational stages. RTOC experiments have shown that MHCII −/lo CD80 −/lo Aire − immature mTECs give rise to MHCII hi CD80 hi Aire + mature mTECs (20)(21)(22). Consistently during embryogenesis, MHCII −/lo CD80 −/lo Aire − immature mTECs appear prior to the emergence of MHCII hi CD80 hi Aire + mature mTECs (20,22). Mature mTECs are thus believed to derive from immature mTECs via an intermediate stage that is Aire − but has acquired high levels of MHCII and CD80 expression ( Figure 1C). Aire + mature mTECs were initially described to be post-mitotic and short-lived and were thus thought to represent the last stage of mTEC differentiation (20,21). Apoptosis of this cell type has been proposed to be induced by Aire itself and to be favorable for the diffusion of self-antigens within the medullary microenvironment (21). Recent studies of cell fate mapping, allowing the permanent labeling of Aire-expressing cells even after the termination of transcription, have challenged this concept by demonstrating the existence of a post-Aire stage (23,24). Approximately half of Aire + mature mTECs seems to further progress to this post-Aire stage, which does not express Aire and expresses MHCII and CD80 molecules at reduced levels, thereby generating MHCII lo CD80 lo Aire − mTECs ( Figure 1C) (24,25). This end-stage maturation of mTECs closely resembles that of keratinocytes (25). Finally, mTECs lose their nuclei to form Hassall's corpuscles that can be detected by the expression of markers such as involucrin, cytokeratins 6/10, desmogleins 1/3, and lympho-epithelial kazal type related inhibitor (LEKTI) (25,26).
Interestingly, all mTEC subsets are simultaneously present in the post-natal thymus ( Figure 1C). In addition, the turnover period for mature mTECs is estimated to be between 2 and 3 weeks (20,21). These observations suggest that the mature mTEC population is continuously replenished by differentiation from an mTEC progenitor. Consistent with this notion of perpetual renewal, recent studies have demonstrated the presence in adults of thymic epithelial progenitors and/or stem cells that are capable of generating both mature cortical and medullary lineages in a stepwise fashion (27,28). Furthermore, a novel transitional progenitor stage characterized by the expression of cTEC markers such as CD205, β5t, and high levels of IL-7 has been identified in the embryonic thymus and shown to have the potential to generate mTECs (29)(30)(31). Moreover, an mTECspecific stem cell capable of ensuring lifelong mTEC subsets was recently found within the claudin-3,4 hi SSEA-1 + (stage-specific embryonic antigen 1) population ( Figure 1C) (32). Of note, adult mTEC stem cells have a lower regenerative capacity than their embryonic counterparts. At the current stage of knowledge, the relationships among the common thymic epithelial stem cells (27,28), the transitional progenitor that harbors cTEC-properties (29-31) and claudin-3,4 hi SSEA-1 + mTEC stem cells (32) remain unknown. Thus, further investigations are needed to clarify the relationship among these cells as well as their relative contributions to medulla formation and homeostasis within the embryonic and adult thymus. The identification of specific markers that allow distinct discrimination between these cell types would be helpful to evaluate their respective regenerative capacity. Such studies could aid in identifying clinical applications, notably for improving thymic function in the context of elderly or cytoablative treatments. Taken together, these findings have revealed that the medullary epithelium is not static but, in contrast, is much more dynamic than previously considered.

Tight Collaboration Between Medullary APCs for the Establishment of T-Cell Tolerance
Medullary thymic epithelial cells play a privileged role in the induction of central T-cell tolerance through their ability to express a broad range of tissue-restricted self-antigens (TRAs) (33). A recent study has shown, by using deep transcriptome sequencing, that mature mTECs express 19,293 genes, i.e., approximately 85% of the mouse genome (34). Thus, mTECs constitute the only cell type described that expresses such a large number of genes. The transcription factor Aire is the only regulator known to date that drives the expression of many TRAs (35). Aire alone regulates 3,980 genes (34). The importance of Aire in the induction of T-cell tolerance is illustrated by the fact that mutations in this gene are responsible for the development of the human autoimmune syndrome autoimmune polyendocrinopathy syndrome-1 (APS-1), which is also known as autoimmune polyendocrinopathy candidiasis ectodermal dystrophy (APECED) (36,37). Similarly to humans, Aire-deficient mice show signs of autoimmunity characterized by inflammatory infiltrates and serum autoantibodies (38). The mechanisms by which Aire controls the transcription of TRAs have been extensively reviewed elsewhere (39)(40)(41). In contrast, although Aire-independent TRAs represent approximately 80% of the genes expressed in mTECs, the mechanisms that regulate them are largely unknown. The participation of other regulatory factors as well as epigenetic regulation thus remains to be identified.

Cross-Presentation of mTEC-Derived TRAs by Resident cDCs
Tissue-restricted self-antigens expressed by mTECs, independently of their subcellular origin, were described to be crosspresented by resident cDCs, which reside in close proximity to mTECs (42)(43)(44)(45) (Figure 2). This unidirectional transfer of selfantigens is thought to be favored by a high mTEC turnover, which might allow the subsequent uptake of materials by cDCs. Although several potential mechanisms of intercellular material transfer have been proposed, such as the uptake of apoptotic bodies, gap junctions, exosome transfer, and membrane exchange ("nibbling"), experimental evidence is still lacking, and the precise underlying mechanisms remain unclear (46,47). However, a recent study found that human TECs produce exosomes that carry antigen-presentation molecules and TRAs, suggesting that TECderived exosome could be involved in TRA cross-presentation (48). Given that a particular TRA is expressed only by a minor fraction of mTECs (1-3%), this phenomenon of intercellular antigen transfer likely ensures efficient scanning of TRAs by developing SP thymocytes (49). Furthermore, two-photon imaging experiments have shown that SP thymocytes are extremely mobile and make frequent and transient contacts with DCs, which might greatly contribute to the efficient selection of T cells during their 4-to 5-day residency in the medulla (50,51). Proper localization of resident cDCs in the medulla is controlled by the expression of the chemokine receptor XCR1 and its Aire-dependent associated chemokine XCL1 (52). XCL1-deficient mice show fewer medullary DCs and defective generation of nTreg cells, suggesting that medullary cDCs contribute to nTreg cell development (Figure 2). Consistent with this observation, resident cDCs have been found to play an important role in the generation of nTregs via their ability to acquire and present Aire-dependent TRAs (53).

mTECs Act as Bona Fide APCs
Medullary thymic epithelial cells have thus been initially recognized to play a privileged role in T-cell tolerance because they constitute an "antigen reservoir" that mirrors the peripheral self (33). However, the use of transgenic mouse models that mimic TRA expression in the thymus have shown that mTECs can efficiently induce the clonal deletion of CD8 + T cells (42,54). Recent studies have demonstrated that they also act as bona fide APCs to CD4 + T cells. mTECs have the ability to autonomously present endogenously expressed TRAs via MHCII molecules by using an unconventional endogenous pathway called macroautophagy, which allows the shuttling of cytoplasmic constituents into lysosomes (55,56). Aire + mTECs can induce both the negative selection of autoreactive T cells as well as the generation of nTreg cells ( Figure 2) (53,(57)(58)(59)(60). The induction of nTreg cells was found to be mTEC-dependent because mTECs have the ability to foster the development of Foxp3 − CD25 + nTreg precursors (61). In accordance with these findings, mice showing an enhanced mTEC compartment display increased production of nTreg cells (62,63). Conversely, mice showing a reduced mTEC compartment exhibit a reduction of nTreg cells (64,65). Interestingly, a recent study has shown that a large proportion of thymic Tregs corresponds to peripheral recirculating Tregs (66). The participation of mTECs to this phenomenon of recirculation to the thymus remains to be examined. Interestingly, post-Aire mTECs were found to maintain intermediate TRA expression (24). Thus, it is plausible that this newly identified mTEC subset plays a role in the establishment of T-cell tolerance. Further studies, based for instance on cellspecific ablation, are needed to address this issue. Moreover, although MHCII −/lo CD80 −/lo Aire − and MHCII hi CD80 hi Aire − mTECs express fewer genes compared with Aire + mTECs (34), only a few thousands genes are differentially expressed, which suggests that these immature subsets could have a non-redundant function in the induction of T-cell tolerance. In addition, these distinct mTEC subsets express different levels of MHCII and costimulatory molecules, which may significantly impact T-cell selection. Consistent with these observations, in vivo knock-down of MHCII molecules specifically in Aire + mTECs leads to an increased proportion of CD4 + SP and an enhanced selection of nTregs (59). These findings suggest that there is an underlying division of labor within mTEC subsets, with immature mTECs likely providing more potent induction of nTregs and mature mTECs preferentially prone to negative selection. Of note, the in vivo dynamics of the interactions of CD8 + and CD4 + T cells with mTECs remain unknown to date. It would be very informative to compare the interactions of medullary CD8 + and CD4 + T cells with Aire − and Aire + mTECs to determine to what extent the frequency and duration of these interactions influence Tcell outcomes. Two-photon imaging experiments assessing fresh thymic slices are expected to achieve this goal in the near future and may reveal a complex choreography between SP thymocytes and mTECs.

Migratory DCs Reinforce the Presentation of Self-Antigens
Although mTECs express a diverse repertoire of TRAs that largely contribute to the induction of T-cell tolerance, they cannot encompass the spectrum of all peripheral self-antigens. Migratory DCs have been shown to reinforce the deletion of autoreactive thymocytes by sampling peripheral self-antigens that would otherwise be undetectable to developing thymocytes. Studies based on Rag2 −/− OTII TCR-transgenic mice have shown that migratory cDCs induce the negative selection of autoreactive CD4 + thymocytes (12,67). Interestingly, in co-culture assays, Sirpα + cDCs efficiently convert CD4 + CD25 − thymocytes into CD4 + CD25 + Foxp3 + nTregs (12,68). Migratory cDCs were also found to efficiently induce nTreg cells in vivo (12). Thus, in the steady state, migratory cDCs have the ability to transport antigens captured in the periphery and contribute to the establishment of tolerance by deleting autoreactive CD4 + thymocytes and inducing nTreg cells (Figure 2). These studies have mainly focused on MHCII-restricted TCR-transgenic models, and consequently, the role of migratory cDCs in CD8 + T-cell deletion remains unclear. Migratory cDCs home to the thymus in a CCR2-dependent manner (69). CCR2-deficient mice display a decreased number of migratory cDCs in their thymus and exhibit defective negative selection against blood-borne antigens (69). However, the deficiency in CCR2 does not completely alter the migration of these cells, suggesting the potential involvement of other chemokine receptors. Of note, activated cDCs exhibit a reduced ability to home to the thymus, thus preventing the inappropriate deletion of cells capable of recognizing pathogen-derived antigens (67).
A third subset of DCs, namely pDCs, has recently been described to participate in the induction of T-cell tolerance. Until recently, the function of pDCs in the thymus has remained largely enigmatic, although it was suggested that they could protect the thymus against viral infections via their ability to produce type I interferon (7). In the periphery, in addition to secreting large amounts of type I interferon in response to viral infections, it became evident that pDCs can also function as bona fide APCs that are capable of modulating T-cell responses (70). Recent advances have demonstrated that pDCs possess tolerogenic properties in specific contexts, primarily through the induction or the proliferation of nTreg cells (71)(72)(73)(74). Consistent with these tolerogenic functions observed in the periphery, pDCs were shown to colocalize with Foxp3 + Tregs and to promote the generation of nTreg cells from immature thymocytes via CD40-CD40L and interleukin-3 in the human thymus (75). Similarly, thymic stromal lymphopoietin (TSLP)-activated human pDCs induce the generation of nTregs (76). However, in mice, thymic pDCs do not efficiently induce the generation of nTregs from immature thymocytes in vitro (12,68). In vivo, no role of thymic pDCs was observed in the conversion of thymocytes into the nTreg cell lineage (14). These studies suggest that in contrast to their human counterparts, murine thymic pDCs are intrinsically inefficient at inducing nTreg cells. Murine thymic pDCs, however, were shown to transport peripheral antigens to the thymus, inducing the deletion of autoreactive CD4 + thymocytes (14) (Figure 2). Their role in the deletion of CD8 + thymocytes remains unclear. The migration of pDCs in the thymus was found to be dependent on CCR9, a chemokine receptor that is also involved in T-cell progenitor homing (14,77,78). Importantly, pDCs that are activated by TLR ligands lose their ability to home to the thymus by downregulating CCR9, thus preventing the unwanted induction of Tcell tolerance toward pathogens (14). Under normal conditions, CCR9 deficiency does not completely block the recruitment of pDCs in the thymus, suggesting that other chemokine receptors could be involved in this process. Interestingly, transgenic mice overexpressing CCL2 in the thymus under the myelin basic protein (MBP) promoter exhibit a massive thymic recruitment of pDCs, which express CCR2 (79,80). The thymic migration of pDCs could be mediated via both CCR9 and CCR2. The generation of double knockout mice for CCR9 and CCR2 should reveal whether these two chemokine receptors are sufficient for directing the thymic recruitment of pDCs.

A New Player: Thymic B Cells
In the medulla, in addition to mTECs and DCs, a third type of APC, namely the B cell, has also been implicated in the induction of T-cell tolerance (Figure 2). The vast majority of thymic B cells develop within the thymus from Rag-expressing progenitors, whereas recirculating B cells represent a minority (81). Thymic B cells display unique phenotypic hallmarks in comparison to peripheral B cells. They express high levels of MHCII and costimulatory molecules, supporting their robust antigen-presenting capacity (81). Of note, a recent report has shown that thymic B cells express Aire and display tolerogenic properties upon migration into the thymus (82). An original study using transgenic mice on an I-E-deficient background, in which B cells specifically express I-E MHCII molecules, established the capacity of thymic B cells to mediate the negative selection of CD4 + but not CD8 + T cells (83). Similarly, transgenic B cells, which exclusively present an antigen derived from the myelin oligodendrocyte glycoprotein (MOG), efficiently induce the deletion of MOG-specific CD4 + T cells (84). A recent study has also suggested that thymic B cells capture self-antigens through their B-cell receptors and delete autoreactive T cells by presenting peptides derived from these selfantigens (81). Furthermore, thymic B cells also contribute to the generation of nTreg cells (85).
Therefore, mTECs, DCs and B cells participate in the induction of T-cell tolerance through the negative selection of autoreactive T cells and the generation of nTreg cells (Figure 2). Interestingly, a recent study using deep sequencing in a fixed TCRβ chain model comparing different genetically modified mice has shown that bone marrow-derived APCs and mTECs play non-redundant roles in shaping the TCR repertoire (53). Roughly half of the Airedependent deletion or nTreg induction processes require antigen presentation by bone marrow cells (53). Moreover, the origin of the tissue antigens captured in the periphery and transported in the thymus by migratory cDCs and pDCs remains unclear. Additional studies are needed to determine the degree of the spectrum of overlap among antigens presented in the thymus by these two cell types. In addition to peripheral tissue antigens, although migratory DCs are suspected to participate in T-cell tolerance toward inoffensive foreign antigens derived from food or the commensal gut flora, experimental evidence is still lacking (86). Thus, it is possible that specific thymic DC subsets capture distinct sets of self-antigens and, consequently, could differentially impact the TCR repertoire. Additional studies performed at the polyclonal TCR level are required to elucidate this important issue.

Involvement of Thymic Crosstalk in the Composition and Patterning of the Medulla
The thymic medulla plays a pivotal role in the selection of SP thymocytes. In turn, the expansion and organization of the medulla is governed by developing SP thymocytes. These reciprocal interactions between these two cell types is referred to as "thymic crosstalk" (87). Mice exhibiting a block in thymocyte development at the DP stage, such as TCRα −/− and ZAP70 −/− mice, show prominent defects in medulla formation (88,89). The transplantation of wild-type bone marrow cells in SCID mice lacking TCRpositive cells restores medulla formation and mTEC maturation, indicating that hematopoietic cells control the development of the medullary epithelium (90). Subsequent studies have established that TCR-bearing mature T cells control medulla formation (88,91,92). Thus, these pioneer studies indicated that SP thymocytes provide instructive signals that are critical for controlling the expansion and organization of the medulla. Recent advances have facilitated our understanding of the underlying molecular and cellular participants that are responsible for these crucial processes in the establishment of T-cell tolerance.

AIRE + mTEC Differentiation in the Embryonic Thymus
In the embryonic thymus, lymphoid tissue inducer (LTi) cells identified as CD3 − CD4 + IL-7Rα + were found to regulate the first cohort of Aire + mTECs, which emerge around embryonic day 16 of gestation ( Figure 3A) (20,22,93). LTi cells are present during embryogenesis at a time that correlates with the appearance of Aire + mTECs, before the development of SP thymocytes (22). The emergence of Aire + mTECs is controlled by a member of the tumor necrosis factor (TNF) superfamily: receptor activator of nuclear factor kappa-B (RANK), which is expressed by mTECs, and its corresponding ligand, RANKL (also known as TRANCE), which is expressed by LTi cells (Figure 3A). Strikingly, mice that are deficient for RANK or RANKL show an absence of Aire + mTECs in the embryonic thymus, indicating that this TNF member regulates the emergence of Aire + mTECs (22,94). In accordance with these findings, the exposure of 2deoxyguanosine-treated fetal thymus organ cultures (FTOCs) to recombinant RANKL or an agonistic antibody to RANK induces the appearance of mature mTECs (22,95,96). Conversely, the addition of osteoprotegerin, a soluble decoy receptor for RANKL, or the recombinant RANK-Fc protein, impairs Aire + mTEC differentiation (94,97). Importantly, LTi-deficient Rorc −/− mice do not show a complete absence of Aire + mTECs, suggesting that other embryonic cell types play a role in the development of the medullary epithelium (98). An additional cellular contributor, the invariant Vγ5 + TCR + dendritic epidermal T-cell progenitor, which also expresses RANKL, has likewise been recently implicated in the emergence of Aire + mTECs in the embryonic thymus  Figure 3A) (97).

AIRE + mTEC Differentiation in the Post-natal Thymus
In the post-natal thymus, the RANK-RANKL axis also plays a crucial role in the differentiation of mature mTECs ( Figure 3B). The absence of RANK or RANKL expression leads to a drastic reduction of Aire + mTECs and TRA expression (22,94,99). Conversely, mice that are deficient for osteoprotegerin, a soluble decoy receptor for RANKL, display a large medulla with many Aireexpressing mTECs (99). In contrast to the embryonic thymus, Aire + mTECs are partially reduced in the post-natal thymus from RANK −/− or RANKL −/− mice, which suggests that after birth, additional signal(s) are involved in the differentiation and maintenance of mature mTECs. These observations led to the identification of a second member of the TNF superfamily, namely CD40, which is involved in this process ( Figure 3B). CD40 −/− and CD40L −/− mice show more subtle defects in mTEC subsets compared with those observed in RANK −/− or RANKL −/− mice (94,100). However, these defects were markedly increased in RANK −/− × CD40 −/− double-deficient mice compared with RANK −/− mice, demonstrating that RANK and CD40 cooperate to promote mTEC differentiation in the post-natal thymus (94). Moreover, Aire and TRA expression are dramatically affected in these double-deficient mice, which consequently develop severe autoimmune manifestations. Taken together, these findings provide strong support for a model in which the emergence of Aire + mTECs during embryogenesis involves RANK signaling, whereas the subsequent mTEC differentiation in the post-natal thymus involves cooperation between the RANK and CD40 signals (Figures 3A,B). Several groups have investigated the cellular sources of RANKL and CD40L in the post-natal thymus. Although SP thymocytes were initially found to promote the organization and maturation of the medulla, it remained to be determined whether the instructive signals were provided in a different manner by CD4 + and/or CD8 + thymocytes. RANKL was found to be expressed by both CD4 + and CD8 + thymocytes, with a preferential expression by CD4 + thymocytes (101). In contrast, CD40L was found to be exclusively expressed by CD4 + thymocytes (99,100). The simultaneous analysis of RANKL and CD40L proteins revealed a sequential acquisition of first RANKL on CD69 + semi-mature CD4 + thymocytes and then of CD40L on CD69 − mature CD4 + thymocytes, suggesting that RANKL and CD40L are delivered by distinct CD4 + subsets (101). The respective role of CD4 + and CD8 + thymocytes in mTEC differentiation was explicitly addressed through the use of knockout mice lacking either CD4 + or CD8 + thymocytes (100). The numbers of CD80 hi Aire + mature mTECs are essentially unaffected in mice lacking CD8 + thymocytes (β2m −/− mice), which suggests that they are dispensable for this process. In contrast, the numbers of CD80 hi Aire + mature mTECs are strongly reduced in mice that lack the positive selection of CD4 + thymocytes, such as H2-Aa −/− and CIIta IV−/IV− mice (100). Thus, CD4 + thymocytes play a dominant role in promoting the development of the mature mTEC compartment (102). Nevertheless, in mice lacking CD4 + thymocytes, a minor population of CD80 hi Aire + mature mTECs is still detectable, suggesting that another cell type is also involved in the acquisition of a mature phenotype. Even if a rare number of LTi cells is present in the post-natal thymus, it is unlikely that these cells contribute significantly to mTEC differentiation after birth because Id2 −/− mice, which lack LTi cells, exhibit normal mature mTEC cellularity (99). Similarly, TCRγδ-deficient mice do not exhibit any obvious defect in mature mTECs (99). Thus, LTi and TCRγδ cells seem to be dispensable for mTEC differentiation during post-natal life. A recent study has suggested that invariant NKT cells that also express RANKL participate in Aire + mTEC differentiation in adult mice (103). Thus, it is likely that CD4 + thymocytes and invariant NKT cells cooperate to drive mTEC differentiation ( Figure 3B). Although CD4 + thymocytes play a dominant role in mTEC differentiation, it remained to be determined whether they influence this differentiation process via the release of soluble mediators or by directly engaging in physical interactions with mTECs. The generation of transgenic mice lacking MHCII molecules specifically in mTECs has shown that TCR-MHCIImediated contacts between the two cell types are required for normal mature mTEC cellularity (100). Furthermore, mTEC differentiation occurs only when CD4 + thymocytes recognize their cognate antigen on mTECs (96,100). Taken together, these findings revealed distinct molecular and cellular mechanisms that sustain the generation of mTECs that display a mature phenotype in the embryonic and post-natal thymus.

Three-Dimensional Organization of the Thymic Medulla
The 3D reconstruction of wild-type thymic lobes has revealed that the medulla is highly complex, consisting of a major central compartment surrounded by~100 islets ( Figure 3C) (104)(105)(106). Interestingly, individual medullary islets initially derive from a single progenitor (107). Thus, during thymic development, some growing mTEC islets likely fuse together, leading to the emergence of larger islets and ultimately to a major central compartment. Additional studies of the 3D organization of the thymic lobes during thymus development from fetal to adult stage would be extremely informative to further understand the formation of the medullary architecture. Similar studies performed during aging should also reveal fundamental mechanisms of thymic involution. The recent development of multicolor fate mapping systems based on Cre-lox technology are expected to unravel the dynamics of the development and remodeling of the medulla during a lifetime (108). Importantly, such transgenic systems should aid in determining whether individual medullary islets are indeed derived from a single progenitor or, alternatively, whether they are derived from several clones. The discovery of the co-existence of a major medullary compartment and a hundred distinct smaller islets with a broad volume distribution raises questions regarding the functional relevance of individual islets compared to the central medulla. We estimate that individual islets may contain from only a few to as many as several thousand cells, with an average of a few tens or a few hundreds of cells (unpublished observations). Thus, for the smallest islets, it remains to be determined whether this low number of cells expresses a TRA array large enough to induce Tcell tolerance or, in contrast, whether these few cells do not express sufficient TRA and may permit the escape of potentially hazardous autoreactive T cells. It would be interesting to determine whether the large medulla and small individual islets display similar sets of TRAs. In addition, to be functional, small medullary islets must be vascularized, which remains to be further investigated using 3D reconstruction (106). Thus, further investigation is required to improve our understanding of the functional implications of the medullary topology. Of note, the medulla is not smooth at all, but on the contrary exhibits a highly folded/convoluted shape, with a complex contour at any scale, ranging from the total structure to the cellular level. Such multi-scale complexity is described best by fractal geometry, which affords a high area of interface for a given volume (105). Such characteristics are also typically found in the lungs or intestinal microvilli, which have a large surface area to maximize the exchange of oxygen or nutrients, respectively. In the case of the thymic medulla, this fractal shape ensures a large interface area between the cortex and the medulla, which is referred to as the CMJ. This fractal geometry also ensures that the average distance from any location within the cortex to the nearest medulla remains reasonably low (105). By comparison, the distances from any location within the cortex to the nearest medullary location are significantly reduced compared with the distances that would be obtained for the simplest shape, i.e., a spherical medulla. The CMJ likely plays a critical role in the function of the thymus because it constitutes the site where T cells go through at three critical steps of their journey through the thymus: (i) T-cell progenitors enter the thymus from venules preferentially located at the CMJ, travel outward in the cortex and subsequently migrate inward from the cortex to the medulla, undergoing positive selection; (ii) they cross the CMJ and migrate through the medulla, undergoing negative selection; (iii) they ultimately leave the thymus and enter the periphery, again via venules located at the CMJ (109)(110)(111). Indeed, the CMJ exhibits a high density of large venules, representing a privileged site for thymocyte homing/export, by extra/intravasation through venule walls, respectively ( Figure 3C). Remarkably, the CMJ is also particularly dense in Aire + mTECs, which is expected to favor the encounter with SP thymocytes that are migrating from the cortex to the medulla (93,105). This distribution is strikingly pronounced in neonates compared to adults. This observation is consistent with the finding that Aire is important during the perinatal period to prevent the emergence of autoimmune disorders (112). Therefore, the CMJ represents not only a privileged site of T-cell progenitor homing and export of mature T cells but also a privileged region that favors the encounter of SP thymocytes with Aire + mTECs. A first wave of negative selection is thus expected to occur in this region, which could play a more important role in the induction of T-cell tolerance than previously thought.

Cellular and Molecular Crosstalk in Medulla Organization
Alterations in the cortico-medullary migration of SP thymocytes result in marked defects in the medullary organization. This is well illustrated in mice that lack CCR7 expressed by SP thymocytes or its two ligands CCL19 and CCL21 expressed by mTECs, which are responsible for the migration of SP thymocytes from the cortex to the medulla (113). CCR7-and CCR7 ligand-deficient mice show an arrest of thymocyte migration in the cortex and abnormal medulla formation characterized by small medullary regions that are sparsely distributed throughout their thymi (113,114). The complex 3D organization of the medulla is preferentially controlled by positively selected CD4 + thymocytes (105,115). H2-Aa −/− mice lacking CD4 + thymocytes are devoid of any large medullary compartment, leading to a reduced medullary volume. In these mice, the numbers of mTECs are severely reduced, affecting CD80 hi Aire − and CD80 hi Aire + subsets (96). However, the formation of the medulla is less severely affected in mice lacking CD4 + thymocytes than in mice lacking SP thymocytes such as TCRα −/− and ZAP70 −/− mice. These observations suggest that other cell type(s) participate in the expansion of the medulla. Although invariant NKT cells have been implicated in Aire + mTEC differentiation, their role in the organization of the medulla remains to be defined. CD8 + thymocytes seem to play a minor role compared with CD4 + thymocytes because β2m −/− mice, which lack CD8 + thymocytes, do not exhibit defects either in the 3D organization of the medulla or in the composition of the mTEC subset (96,105). These observations suggest that CD4 + thymocytes are prominently required for the development and 3D organization of the medulla by controlling mTEC cellularity. Furthermore, the organization of the medulla is also dependent on antigen-specific TCR-MHCII-mediated interactions between autoreactive CD4 + thymocytes and mTECs displaying autoantigen-MHCII complexes (96). Several MHCII-restricted TCRtransgenic mice lacking expression of the cognate antigen, such as OTII-Rag2 −/− , B3K508-Rag1 −/− , and female Marilyn-Rag2 −/− mice, show severe impairment in medulla formation. In contrast, this defect is restored when the cognate antigen is expressed by mTECs, as for example in OTII-Rag2 −/− mice crossed with Rip-mOVA mice (in which the Rip-mOVA transgene drives the synthesis of membrane-bound OVA specifically in mTECs), or provided exogenously, as for example in OTII-Rag2 −/− mice injected with OVA 323-339 peptide. Moreover, RTOC experiments in which OTII-Rag2 −/− thymocytes are reaggregated in the presence or absence of OVA 323-339 peptide have demonstrated that the addition of the cognate antigen restores the numbers of mTECs similarly to those induced by WT thymocytes (96). These antigenspecific interactions between mTECs and CD4 + thymocytes also require the engagement of the CD28-CD80/86 and CD40-CD40L costimulatory axes (Figure 3B). Defects in the CD28-CD80/86 or CD40-CD40L costimulatory pathway alone have a slight effect on the architecture of the medulla (105,116). In contrast, the combined absence of CD28-CD80/86 and CD40-CD40L results in a drastic impairment in medulla formation (116). These different experimental results thus favor a model in which autoreactive CD4 + thymocytes control the formation and organization of the medulla in an antigen-dependent manner that involves the CD28-CD80/86 and CD40-CD40L costimulatory pathways. Interestingly, two-photon microscopy experiments have revealed that autoreactive thymocytes do not directly undergo cell death after encountering a negative selecting ligand but instead remain viable and motile for some time in the medullary microenvironment (51). They adopt a confined migration pattern during which they likely provide to mTECs instructive signals that would be necessary for both mTEC differentiation and organization.
A third member of the TNF superfamily, namely the lymphotoxin β receptor (LTβR) expressed by mTECs, and its ligand, the heterotrimer LTα1β2 expressed by SP thymocytes, was found to orchestrate the organization of the medulla (105,117,118). A deficiency in LTβR leads to a disorganized medullary architecture and alterations in mTEC subsets, notably in UEA-1 + mTECs and terminally differentiated involucrin + mTECs (117)(118)(119). LTβR signaling also regulates the expression of Aire-independent TRAs and CCL19 in mTECs (120,121). These defects are associated with the appearance of signs of autoimmunity, which suggests that LTβR signaling is required for the establishment of central tolerance (117,120). Of note, mice that are deficient for LTβR ligands, such as LTα −/− , LTβ −/− , or LIGHT −/− mice, exhibit an intermediate phenotype compared with that observed in LTβR −/− mice. Consequently, the contribution of lymphotoxin signaling to mTEC development is only partially understood (117,118). The 3D reconstruction of LTα −/− thymic lobes has revealed that LTα −/− mice are devoid of any large medullary compartment, leading to a substantial reduction of the medulla volume. Of note, the absence of LTα results in a less drastic phenotype compared with that observed in mice lacking CD4 + thymocytes, which suggests that other(s) mediator(s) contribute to the effect mediated by CD4 + T cells (105). Interestingly, the absence of Aire results in morphological changes in mTECs (26). However, it remains unclear whether Aire affects the 3D organization of the medulla in terms of the numbers and volumes of the medullary islets. Further investigations including the identification of other molecular participants in the topology of the medulla as well as the determination of the 3D distribution of specific mTEC subsets are required. Indeed, recent findings have revealed a differential distribution of mTEC subsets throughout the medulla. Aire + mTECs were found to be preferentially positioned at the CMJ, whereas post-Aire mTECs were described to be localized toward the center of the medulla (24,93,105). A 3D map of distinct mTEC subsets, including mTEC stem cells, may thus reveal a subtle compartmentalization of these specific cell types within the thymic medulla.
Importantly, this cellular crosstalk between mTECs and autoreactive CD4 + thymocytes regulates a cascade of events that control the expression of TNF superfamily members that are essential for both the differentiation and organization of mTECs. In this context, autoantigen-specific interactions between mTECs and CD4 + thymocytes, involving the CD40-CD40L and CD28-CD80/86 axes, lead to the upregulation of lymphotoxin ligands in autoreactive CD4 + thymocytes (96,116). Then, LTβR signaling induces RANK expression in mTECs (95,96), and subsequently, RANK signaling induces the upregulation of CD40 in mTECs (101). This cellular crosstalk with autoreactive CD4 + thymocytes is likely to fine-tune the homeostasis of the medulla, allowing the thymus to adapt optimally for the establishment of T-cell tolerance.

Concluding Remarks
Thymic crosstalk is the indispensable interplay between medullary APCs and developing T cells that coordinates the induction of T-cell tolerance. DCs, B cells, and mTECs have all been shown to control the selection of SP thymocytes. DCs reinforce the induction of T-cell tolerance by cross-presenting mTEC-derived TRAs and by displaying peripheral self-antigens captured in the periphery. Furthermore, thymic B cells can also express Aire and act as APCs. Nevertheless, mTECs are the lead player in T-cell tolerance induction due to their constitutive expression of TRAs. At the molecular and cellular levels, studies conducted over the last decade have furthered our understanding of the thymic crosstalk that sustains mTEC differentiation as well as the organization of the medulla. However, the precise consequences of thymic crosstalk on mTEC differentiation, proliferation, and survival remain to be defined. Additional studies are needed to identify the downstream target genes induced in mTECs by crosstalk signals in both the embryonic and the post-natal thymus. Future work can be expected to elucidate how thymic crosstalk shapes the T cell repertoire. Such studies would be extremely informative for further delineating the mechanisms that govern the establishment of T-cell tolerance. This knowledge is expected to pave the way toward novel therapeutic strategies aimed at preventing the development of autoimmunity and controlling age-associated thymic involution.