KRAS Mutations Are Negatively Correlated with Immunity in Colon Cancer
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Limited Presence of IL-22 Binding Protein, a Natural IL-22 Inhibitor, Strengthens Psoriatic Skin Inflammation
Limited Presence of IL-22 Binding Protein, a Natural IL-22 Inhibitor, Strengthens Psoriatic Skin Inflammation This information is current as Jérôme C. Martin, Kerstin Wolk, Gaëlle Bériou, Ahmed of September 25, 2021. Abidi, Ellen Witte-Händel, Cédric Louvet, Georgios Kokolakis, Lucile Drujont, Laure Dumoutier, Jean-Christophe Renauld, Robert Sabat and Régis Josien J Immunol 2017; 198:3671-3678; Prepublished online 29 March 2017; Downloaded from doi: 10.4049/jimmunol.1700021 http://www.jimmunol.org/content/198/9/3671 References This article cites 47 articles, 12 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/198/9/3671.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 25, 2021 • Fast Publication! 4 weeks from acceptance to publication *average 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 © 2017 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Limited Presence of IL-22 Binding Protein, a Natural IL-22 Inhibitor, Strengthens Psoriatic Skin Inflammation Je´roˆme C. -
Supplementary Material
Coagulation & Its Disorders SUPPLEMENTARY APPENDIX Dexamethasone promotes durable factor VIII-specific tolerance in hemophilia A mice via thymic mechanisms Maria T. Georgescu, 1 Paul C. Moorehead, 2,3 Alice S. van Velzen, 4 Kate Nesbitt, 1 Birgit M. Reipert, 5 Katharina N. Steinitz, 5 Maria Schuster, 5 Christine Hough 1 and David Lillicrap 1 1Department of Pathology and Molecular Medicine, Queen’s University, Kingston, ON, Canada; 2Janeway Children’s Health and Reha - bilitation Centre, St. John’s, NL, Canada; 3Faculty of Medicine, Memorial University, St. John’s, NL, Canada; 4Department of Pediatric Hematology, Immunology and Infectious Diseases, Emma Children’s Hospital, Amsterdam, the Netherlands and 5Baxalta Innovations GmbH, Vienna, Austria ©2018 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2018.189852 Received: January 30, 2018. Accepted: April 19, 2018. Pre-published: April 19, 2018. Correspondence: [email protected] Supplementary Material 100 80 60 40 20 Anti-VWF IgG Positive IgG Mice (%)Anti-VWF 0 FVIII/FVIII FVIII+Dex/FVIII FVIII+Dex/intFVIII+FVIII n=4 n=13 n=12 Figure S1. Administration of Dex during initial FVIII exposure does not impair the immune response to VWF. Anti-VWF IgG incidence at week 22, following exposure to VWF (Week 18-21) in mice initially treated with FVIII or FVIII+Dex and with no evidence of anti-FVIII IgG at week 4. Table S1. Genes down-regulated following FVIII+Dex treatment. Transcript Count Ratio Gene Name FVIII+Dex vs FVIII Dex vs HBSS Ccr4 -5.82 -14.45 Rag1 -4.18 -16.00 Cd69 -3.51 -4.40 Ccr9 -3.46 -9.90 Slamf1 -3.20 -6.50 Cd8b1 -3.18 -7.77 Cd40lg -2.99 -2.56 Cxcl1 -2.90 -2.37 Rag2 -2.84 -9.21 Rorc -2.78 -5.65 Cd8a -2.67 -7.74 Cd4 -2.66 -5.06 Il9 -2.64 -2.26 Il12b -2.60 -2.49 Bcl6 -2.59 -3.30 Il27 -2.54 -3.06 Mr1 -2.48 -3.26 Sh2d1a -2.39 -6.68 Il13 -2.23 -2.38 Ccl22 -2.22 -2.51 Il16 -2.22 -3.05 Socs1 -2.20 -4.55 Card9 -2.12 -3.32 Cxcr4 -2.12 -3.98 Tcf7 -2.12 -5.16 Lck -2.06 -4.47 Icam2 -2.02 -3.09 Table S2. -
IL17RB Antibody Cat
IL17RB Antibody Cat. No.: 62-448 IL17RB Antibody Formalin-fixed and paraffin-embedded human colon Flow cytometric analysis of HepG2 cells using IL17RB carcinoma reacted with IL17RB Antibody , which was Antibody (bottom histogram) compared to a negative peroxidase-conjugated to the secondary antibody, control cell (top histogram). FITC-conjugated goat-anti- followed by DAB staining. rabbit secondary antibodies were used for the analysis. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human This IL17_ antibody is generated from rabbits immunized with a KLH conjugated synthetic IMMUNOGEN: peptide between 207-234 amino acids from the Central region of human IL17_. TESTED APPLICATIONS: Flow, IHC-P, WB For WB starting dilution is: 1:1000 APPLICATIONS: For IHC-P starting dilution is: 1:10~50 For FACS starting dilution is: 1:10~50 September 25, 2021 1 https://www.prosci-inc.com/il17rb-antibody-62-448.html PREDICTED MOLECULAR 56 kDa WEIGHT: Properties This antibody is prepared by Saturated Ammonium Sulfate (SAS) precipitation followed by PURIFICATION: dialysis CLONALITY: Polyclonal ISOTYPE: Rabbit Ig CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: Supplied in PBS with 0.09% (W/V) sodium azide. CONCENTRATION: batch dependent Store at 4˚C for three months and -20˚C, stable for up to one year. As with all antibodies STORAGE CONDITIONS: care should be taken to avoid repeated freeze thaw cycles. Antibodies should not be exposed to prolonged high temperatures. Additional Info OFFICIAL SYMBOL: IL17RB Interleukin-17 receptor B, IL-17 receptor B, IL-17RB, Cytokine receptor-like 4, IL-17 ALTERNATE NAMES: receptor homolog 1, IL-17Rh1, IL17Rh1, Interleukin-17B receptor, IL-17B receptor, IL17RB, CRL4, EVI27, IL17BR ACCESSION NO.: Q9NRM6 PROTEIN GI NO.: 21263748 GENE ID: 55540 USER NOTE: Optimal dilutions for each application to be determined by the researcher. -
List of Genes Used in Cell Type Enrichment Analysis
List of genes used in cell type enrichment analysis Metagene Cell type Immunity ADAM28 Activated B cell Adaptive CD180 Activated B cell Adaptive CD79B Activated B cell Adaptive BLK Activated B cell Adaptive CD19 Activated B cell Adaptive MS4A1 Activated B cell Adaptive TNFRSF17 Activated B cell Adaptive IGHM Activated B cell Adaptive GNG7 Activated B cell Adaptive MICAL3 Activated B cell Adaptive SPIB Activated B cell Adaptive HLA-DOB Activated B cell Adaptive IGKC Activated B cell Adaptive PNOC Activated B cell Adaptive FCRL2 Activated B cell Adaptive BACH2 Activated B cell Adaptive CR2 Activated B cell Adaptive TCL1A Activated B cell Adaptive AKNA Activated B cell Adaptive ARHGAP25 Activated B cell Adaptive CCL21 Activated B cell Adaptive CD27 Activated B cell Adaptive CD38 Activated B cell Adaptive CLEC17A Activated B cell Adaptive CLEC9A Activated B cell Adaptive CLECL1 Activated B cell Adaptive AIM2 Activated CD4 T cell Adaptive BIRC3 Activated CD4 T cell Adaptive BRIP1 Activated CD4 T cell Adaptive CCL20 Activated CD4 T cell Adaptive CCL4 Activated CD4 T cell Adaptive CCL5 Activated CD4 T cell Adaptive CCNB1 Activated CD4 T cell Adaptive CCR7 Activated CD4 T cell Adaptive DUSP2 Activated CD4 T cell Adaptive ESCO2 Activated CD4 T cell Adaptive ETS1 Activated CD4 T cell Adaptive EXO1 Activated CD4 T cell Adaptive EXOC6 Activated CD4 T cell Adaptive IARS Activated CD4 T cell Adaptive ITK Activated CD4 T cell Adaptive KIF11 Activated CD4 T cell Adaptive KNTC1 Activated CD4 T cell Adaptive NUF2 Activated CD4 T cell Adaptive PRC1 Activated -
Supplemental Table S1
Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1 -
Comparison of Gene Expression Profiles in Chromate Transformed BEAS-2B Cells
Comparison of Gene Expression Profiles in Chromate Transformed BEAS-2B Cells Hong Sun1, Harriet A. Clancy1, Thomas Kluz1, Jiri Zavadil2, Max Costa1* 1 Nelson Institute of Environmental Medicine, New York University School of Medicine, Tuxedo, New York, United States of America, 2 Department of Pathology, NYU Cancer Institute and Center for Health Informatics and Bioinformatics, NYU Langone Medical Center, New York, New York, United States of America Abstract Background: Hexavalent chromium [Cr(VI)] is a potent human carcinogen. Occupational exposure has been associated with increased risk of respiratory cancer. Multiple mechanisms have been shown to contribute to Cr(VI) induced carcinogenesis, including DNA damage, genomic instability, and epigenetic modulation, however, the molecular mechanism and downstream genes mediating chromium’s carcinogenicity remain to be elucidated. Methods/Results: We established chromate transformed cell lines by chronic exposure of normal human bronchial epithelial BEAS-2B cells to low doses of Cr(VI) followed by anchorage-independent growth. These transformed cell lines not only exhibited consistent morphological changes but also acquired altered and distinct gene expression patterns compared with normal BEAS-2B cells and control cell lines (untreated) that arose spontaneously in soft agar. Interestingly, the gene expression profiles of six Cr(VI) transformed cell lines were remarkably similar to each other yet differed significantly from that of either control cell lines or normal BEAS-2B cells. A total of 409 differentially expressed genes were identified in Cr(VI) transformed cells compared to control cells. Genes related to cell-to-cell junction were upregulated in all Cr(VI) transformed cells, while genes associated with the interaction between cells and their extracellular matrices were down-regulated. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
IL-12 Abrogates Calcineurin-Dependent Immune Evasion During Leukemia Progression
Author Manuscript Published OnlineFirst on May 29, 2019; DOI: 10.1158/0008-5472.CAN-18-3800 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. IL-12 abrogates calcineurin-dependent immune evasion during leukemia progression Jennifer L. Rabe,1* Lori Gardner,2* Rae Hunter,3 Jairo A. Fonseca,3 Jodi Dougan,3 Christy M. Gearheart,2 Michael S. Leibowitz,2 Cathy Lee-Miller,2 Dmitry Baturin,2 Susan P. Fosmire,2 Susan E. Zelasko,2 Courtney L. Jones,2 Jill E. Slansky,4 Manali Rupji,5 Bhakti Dwivedi,5 Curtis J. Henry,3,5,6 and Christopher C. Porter3,5,6 Affiliations: 1Molecular Biology Program, University of Colorado Denver, Aurora, CO. 2Department of Pediatrics, University of Colorado, Aurora, CO 3Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 4Integrated Department of Immunology, University of Colorado School of Medicine, Aurora, CO 5Winship Cancer Institute, Emory University, Atlanta, GA 6Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, GA JR and LAG contributed equally to this study. Corresponding Author: Christopher C. Porter, MD Emory University School of Medicine 1760 Haygood Drive, E370 Atlanta, GA 30322 Phone: 404-727-4881 Fax: 404-727-4455 [email protected] Running title: Leukemia-cell calcineurin drives immune evasion Conflict of interest statement The authors have declared that no conflicts of interest exist. Abstract: 199 words Main Text: 5797 words (excluding figure legends and references) Downloaded from cancerres.aacrjournals.org on October 2, 2021. © 2019 American Association for Cancer Research. Author Manuscript Published OnlineFirst on May 29, 2019; DOI: 10.1158/0008-5472.CAN-18-3800 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
To Study Mutant P53 Gain of Function, Various Tumor-Derived P53 Mutants
Differential effects of mutant TAp63γ on transactivation of p53 and/or p63 responsive genes and their effects on global gene expression. A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science By Shama K Khokhar M.Sc., Bilaspur University, 2004 B.Sc., Bhopal University, 2002 2007 1 COPYRIGHT SHAMA K KHOKHAR 2007 2 WRIGHT STATE UNIVERSITY SCHOOL OF GRADUATE STUDIES Date of Defense: 12-03-07 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY SHAMA KHAN KHOKHAR ENTITLED Differential effects of mutant TAp63γ on transactivation of p53 and/or p63 responsive genes and their effects on global gene expression BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science Madhavi P. Kadakia, Ph.D. Thesis Director Daniel Organisciak , Ph.D. Department Chair Committee on Final Examination Madhavi P. Kadakia, Ph.D. Steven J. Berberich, Ph.D. Michael Leffak, Ph.D. Joseph F. Thomas, Jr., Ph.D. Dean, School of Graduate Studies 3 Abstract Khokhar, Shama K. M.S., Department of Biochemistry and Molecular Biology, Wright State University, 2007 Differential effect of TAp63γ mutants on transactivation of p53 and/or p63 responsive genes and their effects on global gene expression. p63, a member of the p53 gene family, known to play a role in development, has more recently also been implicated in cancer progression. Mice lacking p63 exhibit severe developmental defects such as limb truncations, abnormal skin, and absence of hair follicles, teeth, and mammary glands. Germline missense mutations of p63 have been shown to be responsible for several human developmental syndromes including SHFM, EEC and ADULT syndromes and are associated with anomalies in the development of organs of epithelial origin. -
Assessing the Tumor Microenvironment by Recovery of Immune Receptor V(D)J Recombination Reads from Tumor Specimen Exome Files
Assessing the Tumor Microenvironment by Recovery of Immune Receptor V(D)J Recombination Reads from Tumor Specimen Exome Files George Blanck, Ph.D. Professor, Molecular Medicine Morsani College of Medicine, USF Immunology Program, Moffitt Cancer Center (not for publication or public web page) Learning objectives: 1. To appreciate the availability of T-cell receptor recombination information from tumor specimen DNA samples. 2. To understand the correlation between T-cell receptor recombinations, in tumor specimen DNA, and other, clinically relevant information for bladder cancer and kidney renal cell carcinoma. 3. To understand the importance of HLA alleles in assessing the impact of T-cell receptor recombinations from tumor specimen DNA. Fig. 1. Immune receptor genes recombine during development to generate many different receptor molecules among the B-cells and T- cells, throughout the body, through life, to bind many different antigens, including tumor antigens. Seven immune receptor genes total: • Three related to antibodies, not further discussed. • Two related to gamma-delta T-cells, not further discussed • Two required for alpha-beta T-cells, the subject of this presentation. Alpha-beta T-cells: • Most numerous. • Best understood, medically speaking. • Generally target peptide antigen, in the case of tumors, a mutant peptide. • The TRB part of the TRA/TRB receptor is considered most important in antigen binding. The tumor specimen and the exome • Surgically remove tumor, obtain DNA sequence (all exons = exome), for tumor mutations, which can guide therapy. • Other cells in the specimen, particularly T-cells. • The DNA representing the T-cell receptor can be identified above the tumor DNA “background”. Fig. -
BD Biosciences New RUO Reagents - November 2020
BD Biosciences New RUO reagents - November 2020 Reactivity Description Format Clone Size Cat. number Hu CD133 FITC W6B3C1 100µg 567029 Hu CD133 FITC W6B3C1 25µg 567033 Hu CD39 PE A1/CD39 100Tst 567156 Hu CD39 PE A1/CD39 25Tst 567157 Hu KIR2DL1/S1/S3/S5 PE HP-MA4 100Tst 567158 Hu KIR2DL1/S1/S3/S5 PE HP-MA4 25Tst 567159 Hu IL-22 Alexa Fluor® 647 MH22B2 100µg 567160 Hu IL-22 Alexa Fluor® 647 MH22B2 25µg 567161 Hu CD99 R718 TU12 50µg 751651 Hu CD161 R718 DX12 50µg 751652 Hu CD116 R718 HGMCSFR-M1 50µg 751653 Hu HLA-G R718 87G 50µg 751670 Hu CD27 R718 O323 50µg 751686 Hu CD80 (B7-1) R718 2D10.4 50µg 751737 Hu Integrin αvβ5 R718 ALULA 50µg 751738 Hu CD266 (Tweak-R) R718 ITEM-4 50µg 751739 Hu ErbB3 (HER-3) R718 SGP1 50µg 751799 Hu TCR Vβ5.1 R718 LC4 50µg 751816 Hu CD123 (IL-3Ra) R718 6H6 50µg 751844 Hu CD1a R718 SK9 50µg 751847 Hu CD20 R718 L27 50µg 751849 Hu Disial GD2 R718 14.G2A 50µg 751851 Reactivity Description Format Clone Size Cat. number Hu CD71 R718 L01.1 50µg 751853 Hu CD278 (ICOS) R718 DX29 50µg 751854 Hu B7-H4 R718 MIH43 50µg 751857 Hu CD53 R718 HI29 50µg 751858 Hu CD197 (CCR7) R718 2-L1-A 50µg 751859 Hu CD197 (CCR7) R718 3D12 50µg 751861 Hu CD31 R718 L133.1 50µg 751863 Hu EGF Receptor R718 EMAB-134 50µg 751864 Hu CD8b R718 2ST8.5H7 50µg 751867 Hu CD31 R718 MBC 78.2 50µg 751869 Hu CD162 R718 KPL-1 50µg 751873 Hu CD24 R718 ML5 50µg 751874 Hu CD159C (NKG2C) R718 134591 50µg 751876 Hu CD169 (Siglec-1) R718 7-239 50µg 751877 Hu CD16b R718 CLB-GRAN11.5 50µg 751880 Hu IgM R718 UCH-B1 50µg 751881 Hu CD275 R718 2D3/B7-H2 50µg 751883 Hu CD307e -
Transcriptional Control of Tissue-Resident Memory T Cell Generation
Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2019 © 2019 Filip Cvetkovski All rights reserved ABSTRACT Transcriptional control of tissue-resident memory T cell generation Filip Cvetkovski Tissue-resident memory T cells (TRM) are a non-circulating subset of memory that are maintained at sites of pathogen entry and mediate optimal protection against reinfection. Lung TRM can be generated in response to respiratory infection or vaccination, however, the molecular pathways involved in CD4+TRM establishment have not been defined. Here, we performed transcriptional profiling of influenza-specific lung CD4+TRM following influenza infection to identify pathways implicated in CD4+TRM generation and homeostasis. Lung CD4+TRM displayed a unique transcriptional profile distinct from spleen memory, including up-regulation of a gene network induced by the transcription factor IRF4, a known regulator of effector T cell differentiation. In addition, the gene expression profile of lung CD4+TRM was enriched in gene sets previously described in tissue-resident regulatory T cells. Up-regulation of immunomodulatory molecules such as CTLA-4, PD-1, and ICOS, suggested a potential regulatory role for CD4+TRM in tissues. Using loss-of-function genetic experiments in mice, we demonstrate that IRF4 is required for the generation of lung-localized pathogen-specific effector CD4+T cells during acute influenza infection. Influenza-specific IRF4−/− T cells failed to fully express CD44, and maintained high levels of CD62L compared to wild type, suggesting a defect in complete differentiation into lung-tropic effector T cells.