Foxn1 Control of Skin Function
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Six3 Overexpression Initiates the Formation of Ectopic Retina
Downloaded from genesdev.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH COMMUNICATION in the developing eye and ventral forebrain. Recently, in Six3 overexpression initiates Drosophila a member of the Six subclass of homeobox the formation of ectopic retina genes, optix, has been isolated, which by sequence com- parison of the homeobox appears to be the ortholog of Felix Loosli, Sylke Winkler, Six3 (Toy et al. 1998). Functional analysis of optix, how- 1 and Joachim Wittbrodt ever, has not yet been reported. In medaka fish (Oryzias latipes) Six3 is expressed in Sonderforschungsbereich (SFB) Junior Group, Institute for Human Genetics, University of Go¨ ttingen, c/o the anterior-most neuroectoderm at gastrula stages and Max-Planck-Institute (MPI) for Biophysical Chemistry, Am later in the developing retina (Loosli et al. 1998). Mosaic Fassberg, 37077 Go¨ttingen, Germany misexpression of mouse Six3 in small clones, in response to injected plasmid DNA, resulted in the formation of The homeobox gene sine oculis (so) is essential for visual ectopic lenses in the region of the otic vesicle, suggesting system formation in Drosophila. A vertebrate member a decisive role for Six3 during vertebrate lens develop- of the so/Six gene family, Six3, is expressed in the devel- ment (Oliver et al. 1996). Considering the expression of oping eye and forebrain. Injection of Six3 RNA into Six3 in the retinal primordia and the essential role of a medaka fish embryos causes ectopic Pax6 and Rx2 ex- Drosophila homolog, so,inDrosophila eye develop- pression in midbrain and cerebellum, resulting in the ment, we investigated a potential role of Six3 in early formation of ectopic retinal primordia. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
Transient Activation of Meox1 Is an Early Component of the Gene
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Access to Research and Communications Annals 1 Transient activation of Meox1 is an early component of the gene 2 regulatory network downstream of Hoxa2. 3 4 Pavel Kirilenko1, Guiyuan He1, Baljinder Mankoo2, Moises Mallo3, Richard Jones4, 5 5 and Nicoletta Bobola1,* 6 7 (1) School of Dentistry, Faculty of Medical and Human Sciences, University of 8 Manchester, Manchester, UK. 9 (2) Randall Division of Cell and Molecular Biophysics, King's College London, UK. 10 (3) Instituto Gulbenkian de Ciência, Oeiras, Portugal. 11 (4) Genetic Medicine, Manchester Academic Health Science Centre, Central 12 Manchester University Hospitals NHS Foundation Trust, Manchester, UK. 13 (5) Present address: Department of Biology, University of York, York, UK. 14 15 Running title: Hoxa2 activates Meox1 expression. 16 Keywords: Meox1, Hoxa2, homeodomain, development, mouse 17 *Words Count: Material and Methods: 344; Introduction, Results and Discussion: 18 3679 19 19 * Author for correspondence at: AV Hill Building The University of Manchester Manchester M13 9PT United Kingdom Phone: (+44) 161 3060642 E-mail: [email protected] 1 Abstract 2 Hox genes encode transcription factors that regulate morphogenesis in all animals 3 with bilateral symmetry. Although Hox genes have been extensively studied, their 4 molecular function is not clear in vertebrates, and only a limited number of genes 5 regulated by Hox transcription factors have been identified. Hoxa2 is required for 6 correct development of the second branchial arch, its major domain of expression. 7 We now show that Meox1 is genetically downstream from Hoxa2 and is a direct 8 target. -
SUPPLEMENTARY MATERIAL Bone Morphogenetic Protein 4 Promotes
www.intjdevbiol.com doi: 10.1387/ijdb.160040mk SUPPLEMENTARY MATERIAL corresponding to: Bone morphogenetic protein 4 promotes craniofacial neural crest induction from human pluripotent stem cells SUMIYO MIMURA, MIKA SUGA, KAORI OKADA, MASAKI KINEHARA, HIROKI NIKAWA and MIHO K. FURUE* *Address correspondence to: Miho Kusuda Furue. Laboratory of Stem Cell Cultures, National Institutes of Biomedical Innovation, Health and Nutrition, 7-6-8, Saito-Asagi, Ibaraki, Osaka 567-0085, Japan. Tel: 81-72-641-9819. Fax: 81-72-641-9812. E-mail: [email protected] Full text for this paper is available at: http://dx.doi.org/10.1387/ijdb.160040mk TABLE S1 PRIMER LIST FOR QRT-PCR Gene forward reverse AP2α AATTTCTCAACCGACAACATT ATCTGTTTTGTAGCCAGGAGC CDX2 CTGGAGCTGGAGAAGGAGTTTC ATTTTAACCTGCCTCTCAGAGAGC DLX1 AGTTTGCAGTTGCAGGCTTT CCCTGCTTCATCAGCTTCTT FOXD3 CAGCGGTTCGGCGGGAGG TGAGTGAGAGGTTGTGGCGGATG GAPDH CAAAGTTGTCATGGATGACC CCATGGAGAAGGCTGGGG MSX1 GGATCAGACTTCGGAGAGTGAACT GCCTTCCCTTTAACCCTCACA NANOG TGAACCTCAGCTACAAACAG TGGTGGTAGGAAGAGTAAAG OCT4 GACAGGGGGAGGGGAGGAGCTAGG CTTCCCTCCAACCAGTTGCCCCAAA PAX3 TTGCAATGGCCTCTCAC AGGGGAGAGCGCGTAATC PAX6 GTCCATCTTTGCTTGGGAAA TAGCCAGGTTGCGAAGAACT p75 TCATCCCTGTCTATTGCTCCA TGTTCTGCTTGCAGCTGTTC SOX9 AATGGAGCAGCGAAATCAAC CAGAGAGATTTAGCACACTGATC SOX10 GACCAGTACCCGCACCTG CGCTTGTCACTTTCGTTCAG Suppl. Fig. S1. Comparison of the gene expression profiles of the ES cells and the cells induced by NC and NC-B condition. Scatter plots compares the normalized expression of every gene on the array (refer to Table S3). The central line -
Supplementary Table 1. Pain and PTSS Associated Genes (N = 604
Supplementary Table 1. Pain and PTSS associated genes (n = 604) compiled from three established pain gene databases (PainNetworks,[61] Algynomics,[52] and PainGenes[42]) and one PTSS gene database (PTSDgene[88]). These genes were used in in silico analyses aimed at identifying miRNA that are predicted to preferentially target this list genes vs. a random set of genes (of the same length). ABCC4 ACE2 ACHE ACPP ACSL1 ADAM11 ADAMTS5 ADCY5 ADCYAP1 ADCYAP1R1 ADM ADORA2A ADORA2B ADRA1A ADRA1B ADRA1D ADRA2A ADRA2C ADRB1 ADRB2 ADRB3 ADRBK1 ADRBK2 AGTR2 ALOX12 ANO1 ANO3 APOE APP AQP1 AQP4 ARL5B ARRB1 ARRB2 ASIC1 ASIC2 ATF1 ATF3 ATF6B ATP1A1 ATP1B3 ATP2B1 ATP6V1A ATP6V1B2 ATP6V1G2 AVPR1A AVPR2 BACE1 BAMBI BDKRB2 BDNF BHLHE22 BTG2 CA8 CACNA1A CACNA1B CACNA1C CACNA1E CACNA1G CACNA1H CACNA2D1 CACNA2D2 CACNA2D3 CACNB3 CACNG2 CALB1 CALCRL CALM2 CAMK2A CAMK2B CAMK4 CAT CCK CCKAR CCKBR CCL2 CCL3 CCL4 CCR1 CCR7 CD274 CD38 CD4 CD40 CDH11 CDK5 CDK5R1 CDKN1A CHRM1 CHRM2 CHRM3 CHRM5 CHRNA5 CHRNA7 CHRNB2 CHRNB4 CHUK CLCN6 CLOCK CNGA3 CNR1 COL11A2 COL9A1 COMT COQ10A CPN1 CPS1 CREB1 CRH CRHBP CRHR1 CRHR2 CRIP2 CRYAA CSF2 CSF2RB CSK CSMD1 CSNK1A1 CSNK1E CTSB CTSS CX3CL1 CXCL5 CXCR3 CXCR4 CYBB CYP19A1 CYP2D6 CYP3A4 DAB1 DAO DBH DBI DICER1 DISC1 DLG2 DLG4 DPCR1 DPP4 DRD1 DRD2 DRD3 DRD4 DRGX DTNBP1 DUSP6 ECE2 EDN1 EDNRA EDNRB EFNB1 EFNB2 EGF EGFR EGR1 EGR3 ENPP2 EPB41L2 EPHB1 EPHB2 EPHB3 EPHB4 EPHB6 EPHX2 ERBB2 ERBB4 EREG ESR1 ESR2 ETV1 EZR F2R F2RL1 F2RL2 FAAH FAM19A4 FGF2 FKBP5 FLOT1 FMR1 FOS FOSB FOSL2 FOXN1 FRMPD4 FSTL1 FYN GABARAPL1 GABBR1 GABBR2 GABRA2 GABRA4 -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
Timing of Novel Drug 1A-116 to Circadian Rhythms Improves Therapeutic Effects Against Glioblastoma
pharmaceutics Article Timing of Novel Drug 1A-116 to Circadian Rhythms Improves Therapeutic Effects against Glioblastoma Laura Lucía Trebucq 1, Georgina Alexandra Cardama 2, Pablo Lorenzano Menna 2, Diego Andrés Golombek 1 , Juan José Chiesa 1,*,† and Luciano Marpegan 3,*,† 1 Laboratorio de Cronobiología, Universidad Nacional de Quilmes-CONICET, Bernal 1876, Buenos Aires, Argentina; [email protected] (L.L.T.); [email protected] (D.A.G.) 2 Laboratorio de Oncología Molecular, Universidad Nacional de Quilmes-CONICET, Bernal 1876, Buenos Aires, Argentina; [email protected] (G.A.C.); [email protected] (P.L.M.) 3 Departamento de Física Médica, Comisión Nacional de Energía Atómica, Bariloche 8400, Río Negro, Argentina * Correspondence: [email protected] (J.J.C.); [email protected] (L.M.) † These authors contributed equally to this work. Abstract: The Ras homologous family of small guanosine triphosphate-binding enzymes (GTPases) is critical for cell migration and proliferation. The novel drug 1A-116 blocks the interaction site of the Ras-related C3 botulinum toxin substrate 1 (RAC1) GTPase with some of its guanine exchange factors (GEFs), such as T-cell lymphoma invasion and metastasis 1 (TIAM1), inhibiting cell motility and proliferation. Knowledge of circadian regulation of targets can improve chemotherapy in glioblastoma. Thus, circadian regulation in the efficacy of 1A-116 was studied in LN229 human Citation: Trebucq, L.L.; glioblastoma cells and tumor-bearing nude mice. Methods. Wild-type LN229 and BMAL1-deficient Cardama, G.A.; Lorenzano Menna, P.; (i.e., lacking a functional circadian clock) LN229E1 cells were assessed for rhythms in TIAM1, BMAL1, Golombek, D.A.; Chiesa, J.J.; and period circadian protein homolog 1 (PER1), as well as Tiam1, Bmal1, and Rac1 mRNA levels. -
Thymic Epithelial Cell Support of Thymopoiesis Does Not Require Klotho Yan Xing, Michelle J
Thymic Epithelial Cell Support of Thymopoiesis Does Not Require Klotho Yan Xing, Michelle J. Smith, Christine A. Goetz, Ron T. McElmurry, Sarah L. Parker, Dullei Min, Georg A. This information is current as Hollander, Kenneth I. Weinberg, Jakub Tolar, Heather E. of September 28, 2021. Stefanski and Bruce R. Blazar J Immunol published online 29 October 2018 http://www.jimmunol.org/content/early/2018/10/28/jimmun ol.1800670 Downloaded from Why The JI? Submit online. http://www.jimmunol.org/ • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average by guest on September 28, 2021 Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2018 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published October 29, 2018, doi:10.4049/jimmunol.1800670 The Journal of Immunology Thymic Epithelial Cell Support of Thymopoiesis Does Not Require Klotho Yan Xing,*,1 Michelle J. Smith,*,†,1 Christine A. Goetz,*,† Ron T. McElmurry,* Sarah L. Parker,* Dullei Min,‡ Georg A. Hollander,x,{ Kenneth I. Weinberg,‡ Jakub Tolar,* Heather E. Stefanski,*,2 and Bruce R. -
(Foxn1-/-) Mice Affects the Skin Wound Healing Process Sylwia Ma
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.237388; this version posted August 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Impairment of the Hif-1α regulatory pathway in Foxn1-deficient (Foxn1-/-) mice affects the skin wound healing process Sylwia Machcinska, Marta Kopcewicz, Joanna Bukowska, Katarzyna Walendzik and Barbara Gawronska-Kozak* Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, Poland * Correspondence: Barbara Gawronska-Kozak Institute of Animal Reproduction and Food Research, Polish Academy of Sciences, Olsztyn, Poland; Tuwima 10; 10-748, Olsztyn, Poland; Tel: (4889) 5234634; Fax: (4889) 5240124. E-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.04.237388; this version posted August 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. ABSTRACT Hypoxia and hypoxia-regulated factors [e. g., hypoxia-inducible factor-1α (Hif-1α), factor inhibiting Hif-1α (Fih-1), thioredoxin-1 (Trx-1), aryl hydrocarbon receptor nuclear translocator 2 (Arnt-2)] have essential roles in skin wound healing. Using Foxn1-/- mice that can heal skin injuries in a unique scarless manner, we investigated the interaction between Foxn1 and hypoxia-regulated factors. The Foxn1-/- mice displayed impairments in the regulation of Hif-1α, Trx-1 and Fih-1 but not Arnt-2 during the healing process. An analysis of wounded skin showed that the skin of the Foxn1-/- mice healed in a scarless manner, displaying rapid re-epithelialization and an increase in transforming growth factor β (Tgfβ-3) and collagen III expression. -
Role of the P63-Foxn1 Regulatory Axis in Thymic Epithelial Cell Homeostasis During Aging
Citation: Cell Death and Disease (2013) 4, e932; doi:10.1038/cddis.2013.460 OPEN & 2013 Macmillan Publishers Limited All rights reserved 2041-4889/13 www.nature.com/cddis Role of the p63-FoxN1 regulatory axis in thymic epithelial cell homeostasis during aging P Burnley1,3, M Rahman1,3, H Wang1,3, Z Zhang1, X Sun1, Q Zhuge2 and D-M Su*,1,2 The p63 gene regulates thymic epithelial cell (TEC) proliferation, whereas FoxN1 regulates their differentiation. However, their collaborative role in the regulation of TEC homeostasis during thymic aging is largely unknown. In murine models, the proportion of TAp63 þ , but not DNp63 þ , TECs was increased with age, which was associated with an age-related increase in senescent cell clusters, characterized by SA-b-Gal þ and p21 þ cells. Intrathymic infusion of exogenous TAp63 cDNA into young wild-type (WT) mice led to an increase in senescent cell clusters. Blockade of TEC differentiation via conditional FoxN1 gene knockout accelerated the appearance of this phenotype to early middle age, whereas intrathymic infusion of exogenous FoxN1 cDNA into aged WT mice brought only a modest reduction in the proportion of TAp63 þ TECs, but an increase in DNp63 þ TECs in the partially rejuvenated thymus. Meanwhile, we found that the increased TAp63 þ population contained a high proportion of phosphorylated-p53 TECs, which may be involved in the induction of cellular senescence. Thus, TAp63 levels are positively correlated with TEC senescence but inversely correlated with expression of FoxN1 and FoxN1-regulated TEC differentiation. Thereby, the p63-FoxN1 regulatory axis in regulation of postnatal TEC homeostasis has been revealed.