![]() | ![]() |
Formats:
|
||||||||||||||||
Copyright © 2006, The Rockefeller University Press Article A role for Dicer in immune regulation 1Lymphocyte Development Group, 2Division of Investigative Sciences, and 3Flow Cytometry Facility, MRC Clinical Sciences Centre, Imperial College London, London W12 0NN, England, UK 4Wellcome Trust/CRUK Gurdon Institute and 5Department of Biochemistry, University of Cambridge, Cambridge CB2 1QN, England, UK 6Institute of Immunology, Biomedical Sciences Research Center “Al. Fleming,” 166 72 Vari, Greece 7Department of Microbiology, Immunology, and Molecular Genetics, and Molecular Biology Institute, University of California, Los Angeles, CA 90095 8Department of Experimental Pathology, Institute for Frontier Medical Science, Kyoto University, Kyoto 606-8501, Japan CORRESPONDENCE Matthias Merkenschlager: matthias.merkenschlager/at/csc.mrc.ac.uk Received August 8, 2006; Accepted September 25, 2006. This article has been cited by other articles in PMC.Abstract Micro RNAs (miRNAs) regulate gene expression at the posttranscriptional level. Here we show that regulatory T (T reg) cells have a miRNA profile distinct from conventional CD4 T cells. A partial T reg cell–like miRNA profile is conferred by the enforced expression of Foxp3 and, surprisingly, by the activation of conventional CD4 T cells. Depleting miRNAs by eliminating Dicer, the RNAse III enzyme that generates functional miRNAs, reduces T reg cell numbers and results in immune pathology. Dicer facilitates, in a cell-autonomous fashion, the development of T reg cells in the thymus and the efficient induction of Foxp3 by transforming growth factor β. These results suggest that T reg cell development involves Dicer-generated RNAs. Specialized cell types in multicellular organisms are defined by specific patterns of gene expression (1). In addition to the transcriptional regulation of protein-coding genes, posttranscriptional regulation is emerging as an important mechanism for the control of gene expression. In particular, the noncoding transcripts of several hundred micro RNA (miRNA) genes affect the translation and/or the stability of protein-coding transcripts (2). Long primary miRNAs are processed into hairpins of 60–70 nucleotides in length by a complex containing the nuclear RNase III enzyme Drosha and DGCR8 (DiGeorge syndrome critical region 8 homologue; references 3 and 4). These pre-miRNAs are exported to the cytoplasm and further processed into mature, double-stranded miRNAs of ~22 nucleotides in length by a complex containing the RNase III enzyme Dicer and TRBP (human immunodeficiency virus 1–transactivating response RNA-binding protein; reference 5). After their unwinding, one of the miRNA strands remains associated with the RNA-induced silencing complex, which controls mRNA translation and/or the degradation based on sequence complementarity between RNA-induced silencing–associated miRNAs and the 3′ untranslated region (UTR) of target mRNAs (2). There are several hundred known miRNAs, each of which potentially targets multiple transcripts. Therefore, it is likely that a substantial proportion of protein-coding transcripts is subject to miRNA regulation (6–8). miRNAs are expressed in a cell type– and developmental stage–specific fashion with distinct patterns in embryonic stem cells/early embryos and committed lineages (2). The miRNA-generating enzyme Dicer is required for embryonic development (9, 10), and Dicer-deficient embryonic stem cells fail to differentiate in vitro or to contribute to embryonic development in vivo (11). A role for miRNAs in hematopoiesis had been predicted based on recurrent breakpoints in leukemias at chromosomal locations that encode miRNAs (12) and a causal link between miRNA expression and leukemia has recently been demonstrated (13). Surveys of miRNA expression in hematopoiesis have shown lineage and developmental stage-specific patterns (14, 15), and the overexpression of one miRNA, miR-181, in hematopoietic precursor cells can bias lymphoid differentiation toward the B cell lineage at the expense of T cells (14). Conditional Dicer alleles avoid the lethality resulting from constitutive Dicer deficiency (9) and give insight into the role of Dicer-dependent RNAs in specific lineages. Dicer deletion early in T cell development induced by a Cre transgene driven by the lck promoter (lckCre, expressed from the double-negative [DN] 2 stage onward; reference 16) resulted in a sharp reduction of miRNAs by the double-positive (DP) stage and a 10-fold drop in the number of TCR-αβ thymocytes (17). The CD4/CD8 lineage choice appeared largely intact, including the up-regulation of lineage-specific genes and the stable silencing of Tdt, which is expressed in DP but not in single-positive (SP) thymocytes (17, 18). Deletion of Dicer later in T cell development (induced by a Cre transgene driven by the CD4 promoter, CD4Cre) resulted in moderately reduced T cell numbers (19 and unpublished data) and a failure to silence IFN-γ expression under Th2 polarizing conditions (19). Considering the importance of miRNA-mediated posttranscriptional regulation (8) and the requirement for Dicer in embryonic development (9), it was surprising that T cell development and differentiation progressed relatively normally in the absence of Dicer (17, 19). Regulatory CD4 T (T reg) cells are essential for immune regulation (20, 21). They are characterized by the constitutive expression of CD25, the α chain of the high affinity IL-2 receptor, glucocorticoid-induced tumor necrosis factor receptor (GITR), CTLA4, and the forkhead transcription factor Foxp3, which is both necessary and sufficient for T reg cell function (22–28). T reg cells arise “naturally” during T cell differentiation in the thymus (20, 21) and their frequencies can be manipulated experimentally (27, 28). Nevertheless, the rules that govern T reg cell differentiation are incompletely understood, which, combined with their potential to balance autoimmunity and immune pathology on the one hand and effective immunity to infections and tumors on the other, explains why T reg cells currently attract special attention (20, 21). To gain insight into the biology of T reg cells we have analyzed their miRNA expression. We find that natural T reg cells and conventional CD4 T cells have distinctly different miRNA profiles. Interestingly, the miRNA expression profile of natural T reg cells shows strong similarities to that of activated conventional CD4 T cells. Collectively, with the constitutive expression of several protein-coding genes usually expressed in response to activation (CD25, CTLA4, and GITR), these data suggest that T reg cells represent a state of partial activation. Analysis of mice that are depleted of miRNAs in the T cell lineage as a result of the loss of Dicer function uncovers a role for Dicer in the generation of natural T reg cells in vivo, and the in vitro induction of Foxp3 by TGF-β. Mice lacking Dicer in the T cell lineage are prone to immune pathologies, indicating a role for Dicer in the regulation of the immune system. RESULTS Natural T reg cells and conventional CD4+ T cells have distinct miRNA profiles We isolated natural T reg cells and conventional CD4 LN T cells by staining and sorting CD4+25+GITR+ and CD4+25−GITR− subsets (Fig. 1 a
Conventional CD4 T cells transiently adopt a T reg cell–like miRNA expression profile in response to activation From the dataset described in Fig. 1
To determine whether Foxp3, the signature transcription factor of T reg cells, plays a role in defining the T reg cell miRNA expression profile, we activated conventional CD4 T cells and transduced them with retroviruses encoding Foxp3-IRES-GFP or IRES-GFP alone. GFP+ cells were sorted 3–4 d later and, as expected, intracellular staining showed the presence of Foxp3 protein in Foxp3-IRES-GFP–transduced cells but not in cells transduced with the control vector (Fig. 3 a
Absence of the miRNA-generating RNase III enzyme Dicer from the T cell lineage results in reduced numbers of natural T reg cells and immune pathology The RNase III enzyme Dicer is essential for the processing of pre-miRNAs into mature, functional miRNAs; therefore, its deletion provides a genetic test for the relevance of miRs to T reg cell biology. In the conditional lckCre Dicer deletion model we had analyzed previously (17), thymocyte numbers are reduced 10-fold and there are very few peripheral T cells (not depicted), precluding an analysis of the involvement of Dicer-generated RNAs in T reg cell development. We therefore crossed our conditional Dicer allele with CD4Cre, which deletes during the DN/DP transition (16, 19) significantly later during T cell development than lckCre (16, 17). Dicer deletion was ~90% in DP thymocytes, mature miRNAs were still abundant at the DP stage, and thymocyte numbers were normal in CD4Cre dicerΔ/Δ mice (19 and not depicted). Dicer deletion was essentially complete in CD4Cre dicerΔ/Δ SP thymocytes and mature miRNAs were reduced ~10-fold in naive CD4 peripheral T cells (19 and not depicted). Adult CD4Cre dicerΔ/Δ mice have moderately reduced numbers of peripheral CD4 T cells (19 and not depicted). Among these CD4 T cells, we found a substantial reduction in the frequency of natural T reg cells (2.7 ± 0.3% in CD4Cre dicerΔ/Δ CD4 spleen cells, 7.5 ± 2.5% in dicerlox/lox CD4 spleen, n = 15, ratio = 2.8; 3.3 ± 0.8% in CD4Cre dicerΔ/Δ CD4 LN cells, 7.6 ± 0.8% in dicerlox/lox CD4 LN, n = 13, ratio = 2.3; 0.8 ± 0.2% in CD4Cre dicerΔ/Δ CD4 SP thymocytes, 3.7 ± 0.5% in dicerlox/lox CD4 SP thymocytes, n = 4, ratio = 4.6) and in the expression of Foxp3 mRNA compared with dicerlox/lox controls (Fig. 4, a and b
Splenomegaly and enlarged intestinal LNs as well as macroscopic thickening of the colon were noted in the majority of our CD4Cre dicerΔ/Δ mice aged between 3 and 4 mo. Histopathological examination revealed immune pathology affecting the colon, lung, and liver. 5 of 11 4-mo-old CD4Cre dicerΔ/Δ mice examined were affected by colitis, characterized by a diffuse infiltrate of inflammatory cells in the lamina propria and focal formation of crypt abscesses (Fig. 4 c Dicer is required in a cell-autonomous fashion for the development of natural T reg cells in the thymus The data presented above suggest that Dicer plays a role in T reg cell biology, but they do not distinguish between an involvement in T reg cell differentiation on the one hand and T reg cell maintenance or homeostasis on the other. It could be that Dicer-deficient T reg cells differentiate in normal numbers but are prone to apoptosis (17), for example in response to the recognition of self-antigen (31, 32). Alternatively, homeostatic control (33) could partially compensate for a more serious defect in T reg cell differentiation than is apparent by their frequency at steady-state. We therefore examined the first wave of natural T reg cell development in the thymus. To exclude exchange between the thymic and the peripheral T cell pool, we used thymic organ culture initiated at embryonic day 15 (E15), when all thymocytes are still CD4−CD8− DN. Fetal thymi from lckCre dicerΔ/Δ and dicerlox/lox controls were cultured for 10 d, and the frequency of T reg cells was evaluated (Fig. 5 a
Because T reg cell differentiation can be driven by extrinsic signals such as TGF-β (27), we asked whether T reg cell differentiation of Dicer-deficient T cell precursors could be rescued by a wild-type environment. To this end, we constructed mixed thymus chimeras (34) consisting of a wild-type component marked by the Thy1.1 alloantigen and a Thy1.2 component of either dicerlox/lox controls or lckCre dicerΔ/Δ (see Materials and methods). Embryonic day 15–17 thymi were dissociated by proteolysis, mixed as indicated, reaggregated, and cultured for 7–10 d. CD4 SP thymocytes that developed in these chimeras were analyzed for the presence of natural T reg cells, identified by CD25 and GITR. Mixed chimeras containing wild-type Thy1.1 and dicerlox/lox Thy1.2 thymi generated distinct populations of CD25+ GITR+ CD4 SP thymocytes within both the Thy1.1+ (wild-type) and the Thy1.1− (dicerlox/lox) subset (4.2 and 4.3%, respectively; Fig. 5 b Lack of Dicer affects the induction of Foxp3 in peripheral CD4+CD25− T cells without diverting them to the IL-17 lineage T cell activation in the presence of TGF-β induces Foxp3 expression and T reg cell function (27), providing a model system for postthymic T reg cell differentiation. We activated CD4Cre dicerΔ/Δ or control dicerlox/lox CD4+CD25− LN T cells with 200 ng/ml of plate-bound anti-TCR (H57) and anti-CD28. 2 d after exposure to 1 ng/ml TGF-β1 (Sigma-Aldrich), 48.5 ± 15.7% of dicerlox/lox but only 13.5 ± 4.7% of CD4Cre dicerΔ/Δ cells expressed Foxp3 (n = 6; Fig. 6 a
DISCUSSION miRNAs control the expression of a large proportion of protein-coding genes at the posttranscriptional level (6–8), and Dicer is essential for embryonic development (9). It was therefore surprising when recent studies showed that many aspects of T cell differentiation are relatively normal in the absence of Dicer (17, 19). Here we show that the deletion of Dicer results in a specific defect at a relatively late stage of T cell development. We find that Dicer is required, in a cell-autonomous fashion, for the development of natural T reg cells in the thymus, for normal T reg cell numbers in peripheral lymphoid organs, and for the efficient induction of Foxp3 in naive CD4 T cells by TGF-β. Around 4 mo of age, a proportion (around 45%) of CD4Cre dicerΔ/Δ mice develop immune pathology, in particular inflammatory bowel disease. The late onset and incomplete penetrance of disease compared with mice that are genetically deficient in Foxp3 (22, 24) may be due to the presence of residual Foxp3-expressing cells in CD4Cre dicerΔ/Δ mice. CD4Cre dicerΔ/Δ T cells are predisposed to Th1 responses (19), which may contribute to the observed immune pathology. Consistent with the importance of Dicer for T reg cell biology, we show that T reg cells express a characteristic set of miRNAs distinct from that of naive CD4 T cells, including 7 of a set of 21 miRNAs commonly overexpressed in solid tumors (miR-223, miR-214, miR-146, miR-21, miR-24, miR-155, and miR-191; reference 38), which can affect the growth and/or the survival of tumor cells (39, 40). In contrast, Let-7, which negatively regulates Ras, is down-regulated in some human tumors (41) and in T reg cells (this study). miRNA 21 is encoded in the 3′ UTR of the Tmem49 gene (EMBL: AJ459711; MMU459711). Despite sixfold overexpression of miR-21 in T reg cells, real-time PCR primers in the coding region and the 3′ UTR showed no difference in mature Tmem49 mRNA levels between T reg cells and conventional T cells (not depicted). Intronic primers demonstrated slightly (1.6-fold) higher levels of Tmem49 primary transcript in T reg cells, consistent with the fact that only nuclear transcripts are potential targets for processing by the nuclear RNase III Drosha (2). Similarly, mir-155 resides in the noncoding BIC transcript (EMBL: AY096003). BIC and miR-155 accumulate in B cell lymphomas, but the abundance of BIC transcript does not predict the amount of mature miR-155 (42). Hence, the levels of conventional transcripts do not predict the expression of miRNAs encoded at the same location, ruling out the use of cDNA expression data as indicators of miRNA levels. Expression of miR-146 is low in naive T cells and selectively up-regulated in Th1 cells (15) and T reg cells (this study), but not in Th2 cells (15), whereas miR-150 is expressed in naive T cells but down-regulated after activation in Th1 and Th2 cells (15, 19) as well as in T reg cells (this study). miR-142 and members of the Let7 family are also down-regulated in Th1 and Th2 cells (15) as well as in T reg cells. The emerging picture is that T reg cells express an miRNA profile similar to that of acutely activated CD4 T cells. This brings into focus the knowledge that T reg cells constitutively express CD25, CTLA4, and GTIR, markers that are also induced by the activation of conventional CD4 T cells (20, 21), even though most T reg cells in peripheral LNs are CD69− CD62Lhigh and not actively dividing (31). From this perspective, one could argue that T reg cells may be locked in a partially activated state. Understanding the molecular mechanisms that maintain this state in natural T reg cells will be key to their biology. Interestingly, our data show that the ectopic expression of the T reg cell signature transcription factor Foxp3 can confer a partial T reg cell miRNA profile. Hence, aspects of the T reg cell–specific miRNA profile may be under the direct or indirect control of Foxp3. It remains to be investigated whether Foxp3 is under miRNA control. In addition to the extensive overlap between the miRNA profile of T reg cells and activated T cells, our analysis has identified miRNAs that are overexpressed by T reg cells but not by activated T cells, for example miR-223 and miR-146. Detailed studies on the mRNA targets of these and other T reg cell–expressed miRNAs may provide further clues to how T reg cells develop and are maintained over time. The systemic manipulation of miRNA function (43) may open new avenues for the control of T reg cell development and function in vivo. MATERIALS AND METHODS Mice, flow cytometry, and cell sorting. Animal work was performed according to the Animals (Scientific Procedures) Act, UK. dicerlox/lox mice (17) on a mixed C57BL/129 background were crossed with LckCre or CD4Cre transgenic mice (16) to generate lckCre dicerΔ/Δ or CD4Cre dicerΔ/Δ mice and held in a conventional facility where they encountered Pasteurella pneumotropica and Tritrichomonas muris but no other identified pathogens, such as MHV or Sendai virus. Cells were stained, analyzed, and sorted by flow cytometry as described previously (17). The following antibodies were used: CD25-PE, CD25-APC, CD69-FITC, and Thy1.1-biotin (BD Biosciences); CD4-TC and CD8-PE (Caltag); GITR-FITC (R&D Systems); Streptavidin-Alexa-405 (Invitrogen); and Foxp3-PE and Foxp3-APC (eBioscience). Cells were analyzed or sorted on Becton Dickinson Calibur, DIVA, or Aria flow cytometers. Cell and tissue culture. LN T cells were activated at 1–3 × 106/ml with 200 ng/ml of plate-bound anti–TCR-β (H57; BD Biosciences) and 2 μg/ml anti-CD28 (BD Biosciences). For induction of Foxp3 expression, we added 1 ng/ml TGF-β (Sigma-Aldrich). Retroviral gene transfer was performed by spin infection of overnight-activated T cells (90 min, 2,000 rpm, 37°C, without polybrene) using mouse stem cell virus vectors as described previously (44). Fetal thymic organ culture, reaggregate culture, and mixed thymic chimeras were established and cultured as described previously (34). miRNA microarray analysis. Probes for 173 miRNAs referenced in miRBase (29) were synthesized in sense orientation (Sigma-Aldrich) and spotted on glass slides in 16 replicates. Low molecular weight RNA was isolated using the MirVana kit (Ambion) and miRNAs were reverse transcribed using the 3DNA Array Detection 900 miRNA RT kit (Genisphere). 100 ng of small RNAs were tailed with poly(A) polymerase and reverse transcribed using a poly(dT) primer and a unique capture sequence. The tagged cDNAs were concentrated with Microcon YM-10 columns (Millipore), resuspended in 60 μl hybridization buffer (18.5% formamide, 5xSSC, 5x Denhardt's solution, 0.5% SDS, 5mM KH2PO4), denatured at 95°C for 5 min, and hybridized to the array at 42°C overnight. Arrays were developed with Cy3- and Cy5-coupled DNA oligonucleotides with reverse complementary to the capture sequences and scanned with a GenePix 4000B scanner using Genepix Pro 5.0 (Axon). Data analysis was performed in Acuity (Molecular Dynamics). Data was filtered by removing spots with <55% of pixels one standard deviation above background after subtracting median background values. Cy3/Cy5 ratios were log(2) transformed and normalized by Lowess, and in some cases by median centering, and the average ratio of replicates was calculated for each miRNA that passed the filter criteria. To eliminate dye bias, each experiment was hybridized to two separate arrays, swapping the dye of each sample. Data were subjected to SAM as described previously (30), accepting a false positive rate of 0.068. RT-PCR and Northern blots. Total RNA was isolated using RNAbee (Tel-Test) and reverse transcribed. Real-time PCR analysis was performed on an Opticon DNA engine (95°C for 15 min followed by 40 cycles at 94°C for 15 s, 60°C for 30 s, and 72°C for 30 s with a plate read at 72°C; MJ Research Inc.) and normalized to the geometric mean of Ywhaz (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide) and Ube2L3 (ubiquitin conjugating enzyme E2L3) as described previously (17). Primer sequences (5′ to 3′) are as follows: Ywhaz forward: CGTTGTAGGAGCCCGTAGGTCAT, Ywhaz reverse: TCTGGTTGCGAAGCATTGGG; Ube2L3 forward: AGGAGGCTGATGAAGGAGCTTGA, Ube2L3 reverse: TGGTTTGAATGGATACTCTGCTGGA; Foxp3 forward: ACTCGCATGTTCGCCTACTTCAG, Foxp3 reverse: GGCGGATGGCATTCTTCCAGGT; Tmem49 forward: GCCTGTGCTTCTATTCCAAACC, Tmem49 reverse: GAAAGTCACCATCTGCTCCA; Tmem49 3′UTR forward: GTTGAATCTCATGGCAACAGCAGTC, Tmem49 3′UTR reverse: AAGGGCTCCAAGTCTCACAAGACA; and Tmem49 intron 11 forward: AGAACCAGCAGATGTGTAGGCAGC, Tmem49 intron 11 reverse: GGGAAGAGGACCTAAACTCTGAGAGC. For quantitative real-time RT-PCR of miRNAs, gene-specific reverse transcription was performed for each miRNA using 10 ng of low molecular weight RNA, 1 mM dNTPs, 50 U MutliScribe reverse transcriptase, 3.8 U RNase inhibitor, and 50 nM of gene-specific RT primer samples using the TaqMan MicroRNA Reverse Transcription kit (Applied Biosystems). 15-μl reactions were incubated for 30 min at 16°C, 30 min at 42°C, and 5 min at 85°C to inactivate the reverse transcriptase. Real time RT-PCR reactions (1.35 μl of RT product, 10 μl TaqMan 2x Universal PCR master Mix, No AmpErase UNG [Applied Biosystems], and 10 μl TaqMan MicroRNA Assay Mix containing PCR primers and TaqMan probes) were run in triplicates at 95°C for 10 min followed by 40 cycles at 95°C for 15 s and 60°C for 1 min. Expression values were normalized to miR-17-5p. Gene-specific RT primers and TaqMan MicroRNA Assay Mix were from the TaqMan MircoRNA Assays Human Panel Early Access kit (Applied Biosystems). Northern blots were performed as described previously (17). Histology. Tissues were fixed in 10% neutral-buffered formalin, embedded in paraffin, sectioned, and stained with hematoxylin and eosin and with periodic acid-Schiff for microscopic examination. Online supplemental material. Fig. S1 shows the kinetics of miRNA expression after the activation of naive CD4 T cells. It is available at http://www.jem.org/cgi/content/full/jem.20061692/DC1. [Supplemental Material Index]
Acknowledgments We thank Jane Mardon-Srivastava and Eugene Ng for cell sorting, Dr. Cristopher Wilson for CD4Cre mice, and Drs. Fiona Powrie and Pedro Vieira for advice and discussions. This work was supported by the Medical Research Council, UK and the National Institutes of Health. The authors have no conflicting financial interests. Notes Abbreviations used: DN, double-negative; DP, double-positive; GITR, glucocorticoid-induced tumor necrosis factor receptor; miRNA, micro RNA; SAM, significance analysis of microarrays; SP, single-positive; T reg, regulatory T; UTR, untranslated region. B.S. Cobb, A. Hertweck, and J. Smith contributed equally to this work. References 1. Fisher, A.G. 2002. Cellular identity and lineage choice. Nat. Rev. Immunol. 2:977–982. [PubMed] 2. Bartel, D.P. 2004. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 116:281–297. [PubMed] 3. Denli, A.M., B.B. Tops, R.H. Plasterk, R.F. Ketting, and G.J. Hannon. 2004. Processing of primary microRNAs by the Microprocessor complex. Nature. 432:231–235. [PubMed] 4. Gregory, R.I., K.P. Yan, G. Amuthan, T. Chendrimada, B. Doratotaj, N. Cooch, and R. Shiekhattar. 2004. The Microprocessor complex mediates the genesis of microRNAs. Nature. 432:235–240. [PubMed] 5. Chendrimada, T.P., R.I. Gregory, E. Kumaraswamy, J. Norman, N. Cooch, K. Nishikura, and R. Shiekhattar. 2005. TRBP recruits the Dicer complex to Ago2 for microRNA processing and gene silencing. Nature. 436:740–744. [PubMed] 6. Lewis, B.P., C.B. Burge, and D.P. Bartel. 2005. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 120:15–20. [PubMed] 7. Lim, L.P., N.C. Lau, P. Garrett-Engele, A. Grimson, J.M. Schelter, J. Castle, D.P. Bartel, P.S. Linsley, and J.M. Johnson. 2005. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature. 433:769–773. [PubMed] 8. He, L., and G.J. Hannon. 2004. MicroRNAs: small RNAs with a big role in gene regulation. Nat. Rev. Genet. 5:522–531. [PubMed] 9. Bernstein, E., S.Y. Kim, M.A. Carmell, E.P. Murchison, H. Alcorn, M.Z. Li, A.A. Mills, S.J. Elledge, K.V. Anderson, and G.J. Hannon. 2003. Dicer is essential for mouse development. Nat. Genet. 35:215–217. [PubMed] 10. Giraldez, A.J., R.M. Cinalli, M.E. Glasner, A.J. Enright, J.M. Thomson, S. Baskerville, S.M. Hammond, D.P. Bartel, and A.F. Schier. 2005. MicroRNAs regulate brain morphogenesis in zebrafish. Science. 308:833–838. [PubMed] 11. Kanellopoulou, C., S.A. Muljo, A.L. Kung, S. Ganesan, R. Drapkin, T. Jenuwein, D.M. Livingston, and K. Rajewsky. 2005. Dicer-deficient mouse embryonic stem cells are defective in differentiation and centromeric silencing. Genes Dev. 19:489–501. [PubMed] 12. Chen, C.Z., and H.F. Lodish. 2005. MicroRNAs as regulators of mammalian hematopoiesis. Semin. Immunol. 17:155–165. [PubMed] 13. He, L., J.M. Thomson, M.T. Hemann, E. Hernando-Monge, D. Mu, S. Goodson, S. Powers, C. Cordon-Cardo, S.W. Lowe, G.J. Hannon, and S.M. Hammond. 2005. A microRNA polycistron as a potential human oncogene. Nature. 435:828–833. [PubMed] 14. Chen, C.Z., L. Li, H.F. Lodish, and D.P. Bartel. 2004. MicroRNAs modulate hematopoietic lineage differentiation. Science. 303:83–86. [PubMed] 15. Monticelli, S., K.M. Ansel, C. Xiao, N.D. Socci, A.M. Krichevsky, T.H. Thai, N. Rajewsky, D.S. Marks, C. Sander, K. Rajewsky, et al. 2005. MicroRNA profiling of the murine hematopoietic system. Genome Biol. 6:R71. [PubMed] 16. Lee, P.P., D.R. Fitzpatrick, C. Beard, H.K. Jessup, S. Lehar, K.W. Makar, M. Perez-Melgosa, M.T. Sweetser, M.S. Schlissel, S. Nguyen, et al. 2001. A critical role for Dnmt1 and DNA methylation in T cell development, function, and survival. Immunity. 15:763–774. [PubMed] 17. Cobb, B.S., T.B. Nesterova, E. Thompson, A. Hertweck, E. O'Connor, J. Godwin, C.B. Wilson, N. Brockdorff, A.G. Fisher, S.T. Smale, and M. Merkenschlager. 2005. T cell lineage choice and differentiation in the absence of the RNAse III enzyme dicer. J. Exp. Med. 201:1367–1373. [PubMed] 18. Su, R.C., K.E. Brown, S. Saaber, A.G. Fisher, M. Merkenschlager, and S.T. Smale. 2004. Assembly of silent chromatin at a developmentally regulated gene. Nat. Genet. 36:502–506. [PubMed] 19. Muljo, S.A., K.M. Ansel, C. Kanellopoulou, D.M. Livingston, A. Rao, and K. Rajewsky. 2005. Aberrant T cell differentiation in the absence of Dicer. J. Exp. Med. 202:261–269. [PubMed] 20. Sakaguchi, S. 2005. Naturally arising Foxp3-expressing CD25+CD4+ regulatory T cells in immunological tolerance to self and non-self. Nat. Immunol. 6:345–352. [PubMed] 21. Fontenot, J.D., and A.Y. Rudensky. 2005. A well adapted regulatory contrivance: regulatory T cell development and the forkhead family transcription factor Foxp3. Nat. Immunol. 6:331–337. [PubMed] 22. Brunkow, M.E., E.W. Jeffery, K.A. Hjerrild, B. Paeper, L.B. Clark, S.A. Yasayko, J.E. Wilkinson, D. Galas, S.F. Ziegler, and F. Ramsdell. 2001. Disruption of a new forkhead/winged-helix protein, scurfin, results in the fatal lymphoproliferative disorder of the scurfy mouse. Nat. Genet. 27:68–73. [PubMed] 23. Khattri, R., T. Cox, S.A. Yasayko, and F. Ramsdell. 2003. An essential role for scurfin in CD4+CD25+ T regulatory cells. Nat. Immunol. 4:337–342. [PubMed] 24. Fontenot, J.D., M.A. Gavin, and A.Y. Rudensky. 2003. FoxP3 programs the development and function of CD4+CD25+ regulatory T cells. Nat. Immunol. 4:330–336. [PubMed] 25. Fontenot, J.D., J.P. Rasmussen, L.M. Williams, J.L. Dooley, A.G. Farr, and A.Y. Rudensky. 2005. Regulatory T cell lineage specification by the forkhead transcription factor FoxP3. Immunity. 22:329–341. [PubMed] 26. Hori, S., T. Nomura, and S. Sakaguchi. 2003. Control of regulatory T cell development by the transcription factor Foxp3. Science. 299:1057–1061. [PubMed] 27. Chen, W., W. Jin, N. Hardegen, K.J. Lei, L. Li, N. Marinos, G. McGrady, and S.M. Wahl. 2003. Conversion of peripheral CD4+CD25− naive T cells to CD4+CD25+ regulatory T cells by TGF-β induction of transcription factor Foxp3. J. Exp. Med. 198:1875–1886. [PubMed] 28. Kretschmer, K., I. Apostolou, D. Hawiger, K. Khazaie, M.C. Nussenzweig, and H. von Boehmer. 2005. Inducing and expanding regulatory T cell populations by foreign antigen. Nat. Immunol. 6:1219–1227. [PubMed] 29. Griffiths-Jones, S., R.J. Grocock, S. van Dongen, A. Bateman, and A.J. Enright. 2006. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 34:D140–D144. [PubMed] 30. Tusher, V.G., R. Tibshirani, and G. Chu. 2001. Significance analysis of microarrays applied to the ionizing radiation response. Proc. Natl. Acad. Sci. USA. 98:5116–5121. [PubMed] 31. Fisson, S., G. Darrasse-Jeze, E. Litvinova, F. Septier, D. Klatzmann, R. Liblau, and B.L. Salomon. 2003. Continuous activation of autoreactive CD4+ CD25+ regulatory T cells in the steady state. J. Exp. Med. 198:737–746. [PubMed] 32. Hsieh, C.S., Y. Liang, A.J. Tyznik, S.G. Self, D. Liggitt, and A.Y. Rudensky. 2004. Recognition of the peripheral self by naturally arising CD25+ CD4+ T cell receptors. Immunity. 21:267–277. [PubMed] 33. Setoguchi, R., S. Hori, T. Takahashi, and S. Sakaguchi. 2005. Homeostatic maintenance of natural FoxP3+ CD25+ CD4+ regulatory T cells by interleukin IL-2 and induction of autoimmune disease by IL-2 neutralization. J. Exp. Med. 201:723–735. [PubMed] 34. Merkenschlager, M., and A.G. Fisher. 1994. In vitro construction of thymus chimeras. J. Immunol. Methods. 171:177–188. [PubMed] 35. Veldhoen, M., R.J. Hocking, C.J. Atkins, R.M. Locksley, and B. Stockinger. 2006. TGFbeta in the context of an inflammatory cytokine milieu supports de novo differentiation of IL-17-producing T cells. Immunity. 24:179–189. [PubMed] 36. Bettelli, E., Y. Carrier, W. Gao, T. Korn, T.B. Strom, M. Oukka, H.L. Weiner, and V.K. Kuchroo. 2006. Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells. Nature. 441:235–238. [PubMed] 37. Harrington, L.E., R.D. Hatton, P.R. Mangan, H. Turner, T.L. Murphy, K.M. Murphy, and C.T. Weaver. 2005. Interleukin 17-producing CD4+ effector T cells develop via a lineage distinct from the T helper type 1 and 2 lineages. Nat. Immunol. 6:1123–1132. [PubMed] 38. Volinia, S., G.A. Calin, C.G. Liu, S. Ambs, A. Cimmino, F. Petrocca, R. Visone, M. Iorio, C. Roldo, M. Ferracin, et al. 2006. A microRNA expression signature of human solid tumors defines cancer gene targets. Proc. Natl. Acad. Sci. USA. 103:2257–2261. [PubMed] 39. Cheng, A.M., M.W. Byrom, J. Shelton, and L.P. Ford. 2005. Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis. Nucleic Acids Res. 33:1290–1297. [PubMed] 40. Chan, J.A., A.M. Krichevsky, and K.S. Kosik. 2005. MicroRNA-21 is an antiapoptotic factor in human glioblastoma cells. Cancer Res. 65:6029–6033. [PubMed] 41. Johnson, S.M., H. Grosshans, J. Shingara, M. Byrom, R. Jarvis, A. Cheng, E. Labourier, K.L. Reinert, D. Brown, and F.J. Slack. 2005. RAS is regulated by the let-7 microRNA family. Cell. 120:635–647. [PubMed] 42. Eis, P.S., W. Tam, L. Sun, A. Chadburn, Z. Li, M.F. Gomez, E. Lund, and J.E. Dahlberg. 2005. Accumulation of miR-155 and BIC RNA in human B cell lymphomas. Proc. Natl. Acad. Sci. USA. 102:3627–3632. [PubMed] 43. Krutzfeldt, J., N. Rajewsky, R. Braich, K.G. Rajeev, T. Tuschl, M. Manoharan, and M. Stoffel. 2005. Silencing of microRNAs in vivo with ‘antagomirs’. Nature. 438:685–689. [PubMed] 44. Cobb, B.S., S. Morales-Alcelay, G. Kleiger, K.E. Brown, A.G. Fisher, and S.T. Smale. 2000. Targeting of Ikaros to pericentromeric heterochromatin by direct DNA binding. Genes Dev. 14:2146–2160. [PubMed] |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||
Nat Rev Immunol. 2002 Dec; 2(12):977-82.
[Nat Rev Immunol. 2002]Cell. 2004 Jan 23; 116(2):281-97.
[Cell. 2004]Nature. 2005 Aug 4; 436(7051):740-4.
[Nature. 2005]Cell. 2005 Jan 14; 120(1):15-20.
[Cell. 2005]Nat Rev Genet. 2004 Jul; 5(7):522-31.
[Nat Rev Genet. 2004]Semin Immunol. 2005 Apr; 17(2):155-65.
[Semin Immunol. 2005]Nature. 2005 Jun 9; 435(7043):828-33.
[Nature. 2005]Science. 2004 Jan 2; 303(5654):83-6.
[Science. 2004]Genome Biol. 2005; 6(8):R71.
[Genome Biol. 2005]Nat Genet. 2003 Nov; 35(3):215-7.
[Nat Genet. 2003]Nat Immunol. 2005 Apr; 6(4):345-52.
[Nat Immunol. 2005]Nat Immunol. 2005 Apr; 6(4):331-7.
[Nat Immunol. 2005]Nat Genet. 2001 Jan; 27(1):68-73.
[Nat Genet. 2001]Nat Immunol. 2005 Dec; 6(12):1219-27.
[Nat Immunol. 2005]J Exp Med. 2003 Dec 15; 198(12):1875-86.
[J Exp Med. 2003]Nucleic Acids Res. 2006 Jan 1; 34(Database issue):D140-4.
[Nucleic Acids Res. 2006]Proc Natl Acad Sci U S A. 2001 Apr 24; 98(9):5116-21.
[Proc Natl Acad Sci U S A. 2001]J Exp Med. 2005 May 2; 201(9):1367-73.
[J Exp Med. 2005]Immunity. 2001 Nov; 15(5):763-74.
[Immunity. 2001]J Exp Med. 2005 Jul 18; 202(2):261-9.
[J Exp Med. 2005]J Exp Med. 2005 May 2; 201(9):1367-73.
[J Exp Med. 2005]J Exp Med. 2003 Sep 1; 198(5):737-46.
[J Exp Med. 2003]Immunity. 2004 Aug; 21(2):267-77.
[Immunity. 2004]J Exp Med. 2005 Mar 7; 201(5):723-35.
[J Exp Med. 2005]J Immunol Methods. 1994 May 16; 171(2):177-88.
[J Immunol Methods. 1994]J Exp Med. 2003 Dec 15; 198(12):1875-86.
[J Exp Med. 2003]J Immunol Methods. 1994 May 16; 171(2):177-88.
[J Immunol Methods. 1994]J Exp Med. 2003 Dec 15; 198(12):1875-86.
[J Exp Med. 2003]Immunity. 2006 Feb; 24(2):179-89.
[Immunity. 2006]Nature. 2006 May 11; 441(7090):235-8.
[Nature. 2006]Nat Immunol. 2005 Nov; 6(11):1123-32.
[Nat Immunol. 2005]Cell. 2005 Jan 14; 120(1):15-20.
[Cell. 2005]Nat Rev Genet. 2004 Jul; 5(7):522-31.
[Nat Rev Genet. 2004]Nat Genet. 2003 Nov; 35(3):215-7.
[Nat Genet. 2003]J Exp Med. 2005 May 2; 201(9):1367-73.
[J Exp Med. 2005]J Exp Med. 2005 Jul 18; 202(2):261-9.
[J Exp Med. 2005]Proc Natl Acad Sci U S A. 2006 Feb 14; 103(7):2257-61.
[Proc Natl Acad Sci U S A. 2006]Nucleic Acids Res. 2005; 33(4):1290-7.
[Nucleic Acids Res. 2005]Cancer Res. 2005 Jul 15; 65(14):6029-33.
[Cancer Res. 2005]Cell. 2005 Mar 11; 120(5):635-47.
[Cell. 2005]Cell. 2004 Jan 23; 116(2):281-97.
[Cell. 2004]Nat Immunol. 2005 Apr; 6(4):345-52.
[Nat Immunol. 2005]Nat Immunol. 2005 Apr; 6(4):331-7.
[Nat Immunol. 2005]J Exp Med. 2003 Sep 1; 198(5):737-46.
[J Exp Med. 2003]Nature. 2005 Dec 1; 438(7068):685-9.
[Nature. 2005]J Exp Med. 2005 May 2; 201(9):1367-73.
[J Exp Med. 2005]Immunity. 2001 Nov; 15(5):763-74.
[Immunity. 2001]Genes Dev. 2000 Sep 1; 14(17):2146-60.
[Genes Dev. 2000]J Immunol Methods. 1994 May 16; 171(2):177-88.
[J Immunol Methods. 1994]Nucleic Acids Res. 2006 Jan 1; 34(Database issue):D140-4.
[Nucleic Acids Res. 2006]Cell. 2004 Jan 23; 116(2):281-97.
[Cell. 2004]Proc Natl Acad Sci U S A. 2001 Apr 24; 98(9):5116-21.
[Proc Natl Acad Sci U S A. 2001]J Exp Med. 2005 May 2; 201(9):1367-73.
[J Exp Med. 2005]J Exp Med. 2005 May 2; 201(9):1367-73.
[J Exp Med. 2005]