Functional Genomics Analysis of Vitamin D Effects on CD4+ T Cells In
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Activated Peripheral-Blood-Derived Mononuclear Cells
Transcription factor expression in lipopolysaccharide- activated peripheral-blood-derived mononuclear cells Jared C. Roach*†, Kelly D. Smith*‡, Katie L. Strobe*, Stephanie M. Nissen*, Christian D. Haudenschild§, Daixing Zhou§, Thomas J. Vasicek¶, G. A. Heldʈ, Gustavo A. Stolovitzkyʈ, Leroy E. Hood*†, and Alan Aderem* *Institute for Systems Biology, 1441 North 34th Street, Seattle, WA 98103; ‡Department of Pathology, University of Washington, Seattle, WA 98195; §Illumina, 25861 Industrial Boulevard, Hayward, CA 94545; ¶Medtronic, 710 Medtronic Parkway, Minneapolis, MN 55432; and ʈIBM Computational Biology Center, P.O. Box 218, Yorktown Heights, NY 10598 Contributed by Leroy E. Hood, August 21, 2007 (sent for review January 7, 2007) Transcription factors play a key role in integrating and modulating system. In this model system, we activated peripheral-blood-derived biological information. In this study, we comprehensively measured mononuclear cells, which can be loosely termed ‘‘macrophages,’’ the changing abundances of mRNAs over a time course of activation with lipopolysaccharide (LPS). We focused on the precise mea- of human peripheral-blood-derived mononuclear cells (‘‘macro- surement of mRNA concentrations. There is currently no high- phages’’) with lipopolysaccharide. Global and dynamic analysis of throughput technology that can precisely and sensitively measure all transcription factors in response to a physiological stimulus has yet to mRNAs in a system, although such technologies are likely to be be achieved in a human system, and our efforts significantly available in the near future. To demonstrate the potential utility of advanced this goal. We used multiple global high-throughput tech- such technologies, and to motivate their development and encour- nologies for measuring mRNA levels, including massively parallel age their use, we produced data from a combination of two distinct signature sequencing and GeneChip microarrays. -
KDM5B Promotes Drug Resistance by Regulating Melanoma-Propagating Cell Subpopulations Xiaoni Liu1,2, Shang-Min Zhang1, Meaghan K
Published OnlineFirst December 6, 2018; DOI: 10.1158/1535-7163.MCT-18-0395 Cancer Biology and Translational Studies Molecular Cancer Therapeutics KDM5B Promotes Drug Resistance by Regulating Melanoma-Propagating Cell Subpopulations Xiaoni Liu1,2, Shang-Min Zhang1, Meaghan K. McGeary1,2, Irina Krykbaeva1,2, Ling Lai3, Daniel J. Jansen4, Stephen C. Kales4, Anton Simeonov4, Matthew D. Hall4, Daniel P. Kelly3, Marcus W. Bosenberg1,2,5, and Qin Yan1 Abstract Tumor heterogeneity is a major challenge for cancer elevated KDM5B expression, melanoma cells shift toward a À treatment, especially due to the presence of various sub- more drug-tolerant, CD34 state upon exposure to BRAF populations with stem cell or progenitor cell properties. inhibitor or combined BRAF inhibitor and MEK inhibitor þ À þ In mouse melanomas, both CD34 p75 (CD34 )and treatment. KDM5B loss or inhibition shifts melanoma cells À À À þ CD34 p75 (CD34 ) tumor subpopulations were charac- to the more BRAF inhibitor–sensitive CD34 state. These terized as melanoma-propagating cells (MPC) that exhibit results support that KDM5B is a critical epigenetic regulator some of those key features. However, these two subpopula- that governs the transition of key MPC subpopulations tions differ from each other in tumorigenic potential, with distinct drug sensitivity. This study also emphasizes ability to recapitulate heterogeneity, and chemoresistance. the importance of continuing to advance our understand- þ À In this study, we demonstrate that CD34 and CD34 ing of intratumor heterogeneity and ultimately develop V600E subpopulations carrying the BRAF mutation confer novel therapeutics by altering the heterogeneous character- differential sensitivity to targeted BRAF inhibition. -
Imidazopyridines As Potent KDM5 Demethylase Inhibitors Promoting Reprogramming Efficiency of Human Ipscs
Article Imidazopyridines as Potent KDM5 Demethylase Inhibitors Promoting Reprogramming Efficiency of Human iPSCs Yasamin Dabiri, Rodrigo A. Gama- Brambila, Katerina Taskova, ..., Jichang Wang, Miguel A. Andrade-Navarro, Xinlai Cheng [email protected] HIGHLIGHTS O4I3 supports the maintenance and generation of human iPSCs O4I3 is a potent H3K4 demethylase KDM5 inhibitor in vitro and in cells KDM5A, but not KDM5B, serves as an epigenetic barrier of reprogramming Chemical or genetic inhibition of KDM5A tends to promote the reprogramming efficiency Dabiri et al., iScience 12,168– 181 February 22, 2019 ª 2019 The Author(s). https://doi.org/10.1016/ j.isci.2019.01.012 Article Imidazopyridines as Potent KDM5 Demethylase Inhibitors Promoting Reprogramming Efficiency of Human iPSCs Yasamin Dabiri,1 Rodrigo A. Gama-Brambila,1 Katerina Taskova,2,3 Kristina Herold,4 Stefanie Reuter,4 James Adjaye,5 Jochen Utikal,6 Ralf Mrowka,4 Jichang Wang,7 Miguel A. Andrade-Navarro,2,3 and Xinlai Cheng1,8,* SUMMARY Pioneering human induced pluripotent stem cell (iPSC)-based pre-clinical studies have raised safety concerns and pinpointed the need for safer and more efficient approaches to generate and maintain patient-specific iPSCs. One approach is searching for compounds that influence pluripotent stem cell reprogramming using functional screens of known drugs. Our high-throughput screening of drug-like hits showed that imidazopyridines—analogs of zolpidem, a sedative-hypnotic drug—are able to improve reprogramming efficiency and facilitate reprogramming of resistant human primary fibro- blasts. The lead compound (O4I3) showed a remarkable OCT4 induction, which at least in part is 1Institute of Pharmacy and due to the inhibition of H3K4 demethylase (KDM5, also known as JARID1). -
Ten Commandments for a Good Scientist
Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Wageningen 2010 Thesis committee Thesis supervisors Prof. dr. ir. Ivonne M.C.M. Rietjens Professor of Toxicology Wageningen University Prof. dr. Albertinka J. Murk Personal chair at the sub-department of Toxicology Wageningen University Thesis co-supervisor Dr. ir. Jacques J.M. Vervoort Associate professor at the Laboratory of Biochemistry Wageningen University Other members Prof. dr. Michael R. Muller, Wageningen University Prof. dr. ir. Huub F.J. Savelkoul, Wageningen University Prof. dr. Everardus J. van Zoelen, Radboud University Nijmegen Dr. ir. Toine F.H. Bovee, RIKILT, Wageningen This research was conducted under the auspices of the Graduate School VLAG Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds Ana María Sotoca Covaleda Thesis submitted in fulfillment of the requirements for the degree of doctor at Wageningen University by the authority of the Rector Magnificus Prof. dr. M.J. Kropff, in the presence of the Thesis Committee appointed by the Academic Board to be defended in public on Tuesday 14 September 2010 at 4 p.m. in the Aula Unravelling the mechanism of differential biological responses induced by food-borne xeno- and phyto-estrogenic compounds. Ana María Sotoca Covaleda Thesis Wageningen University, Wageningen, The Netherlands, 2010, With references, and with summary in Dutch. ISBN: 978-90-8585-707-5 “Caminante no hay camino, se hace camino al andar. Al andar se hace camino, y al volver la vista atrás se ve la senda que nunca se ha de volver a pisar” - Antonio Machado – A mi madre. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 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 The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Deregulated Mirnas in Bone Health Epigenetic Roles in Osteoporosis
Bone 122 (2019) 52–75 Contents lists available at ScienceDirect Bone journal homepage: www.elsevier.com/locate/bone Review Article Deregulated miRNAs in bone health: Epigenetic roles in osteoporosis T ⁎ D. Bellaviaa, , A. De Lucaa, V. Carinaa, V. Costaa, L. Raimondia, F. Salamannab, R. Alessandroc,d, M. Finib, G. Giavaresib a IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy b IRCCS Istituto Ortopedico Rizzoli, Laboratory of Preclinical and Surgical Studies, Bologna, Italy c Department of Biopathology and Medical Biotechnologies, Section of Biology and Genetics, University of Palermo, Palermo 90133, Italy d Institute of Biomedicine and Molecular Immunology (IBIM), National Research Council, Palermo, Italy. ARTICLE INFO ABSTRACT Keywords: MicroRNA (miRNA) has shown to enhance or inhibit cell proliferation, differentiation and activity of different miRNA cell types in bone tissue. The discovery of miRNA actions and their targets has helped to identify them as novel Osteoporosis regulations actors in bone. Various studies have shown that miRNA deregulation mediates the progression of Osteogenesis bone-related pathologies, such as osteoporosis. Osteoblast The present review intends to give an exhaustive overview of miRNAs with experimentally validated targets Osteoclast involved in bone homeostasis and highlight their possible role in osteoporosis development. Moreover, the review analyzes miRNAs identified in clinical trials and involved in osteoporosis. 1. Introduction degradation [7]. Mature miRNAs are generated by the sequential cleavage of precursor transcripts, indicated as pri-miRNAs, that is Bone is a mineralized connective tissue that has two essential bio- cleaved in the nucleus by Drosha and the Di George syndrome critical logical roles: 1) a mechanical role – supporting body locomotion and region gene 8 (DGCR8) complex, producing a hairpin of 70–100 nu- protecting brain and splanchnic organs; and 2) a metabolic role - reg- cleotides, named pre-miRNA. -
RBPJ/CBF1 Interacts with L3MBTL3/MBT1 to Promote Repression of Notch Signaling Via Histone Demethylase KDM1A/LSD1
Published online: October 13, 2017 Article RBPJ/CBF1 interacts with L3MBTL3/MBT1 to promote repression of Notch signaling via histone demethylase KDM1A/LSD1 Tao Xu1,§, Sung-Soo Park1,§, Benedetto Daniele Giaimo2,§, Daniel Hall3, Francesca Ferrante2, Diana M Ho4, Kazuya Hori4,†, Lucas Anhezini5,‡, Iris Ertl6,¶, Marek Bartkuhn7, Honglai Zhang1, Eléna Milon1, Kimberly Ha1, Kevin P Conlon1, Rork Kuick8, Brandon Govindarajoo9, Yang Zhang9, Yuqing Sun1, Yali Dou1, Venkatesha Basrur1, Kojo SJ Elenitoba-Johnson1, Alexey I Nesvizhskii1,9, Julian Ceron6, Cheng-Yu Lee5, Tilman Borggrefe2, Rhett A Kovall3 & Jean-François Rual1,* Abstract Introduction Notch signaling is an evolutionarily conserved signal transduction The Notch signal transduction pathway is a conserved signaling pathway that is essential for metazoan development. Upon ligand mechanism that is fundamental for morphogenesis in multicellular binding, the Notch intracellular domain (NOTCH ICD) translocates organisms (Bray, 2006; Kopan & Ilagan, 2009; Hori et al, 2013). The into the nucleus and forms a complex with the transcription factor biological action of Notch is highly pleiotropic, and impaired Notch RBPJ (also known as CBF1 or CSL) to activate expression of Notch signaling leads to a broad spectrum of developmental disorders target genes. In the absence of a Notch signal, RBPJ acts as a tran- (Louvi & Artavanis-Tsakonas, 2012) and many types of cancer scriptional repressor. Using a proteomic approach, we identified (Aster et al, 2017). The developmental outcome of Notch signaling L3MBTL3 (also known as MBT1) as a novel RBPJ interactor. L3MBTL3 is strictly dependent on the cell context and can influence cell fate competes with NOTCH ICD for binding to RBPJ. In the absence of in a remarkable number of different ways, for example, differentia- NOTCH ICD, RBPJ recruits L3MBTL3 and the histone demethylase tion, proliferation, and apoptosis (Bray, 2006; Kopan & Ilagan, 2009; KDM1A (also known as LSD1) to the enhancers of Notch target Hori et al, 2013). -
An RBPJ-Drosophila Model Reveals Dependence of RBPJ Protein Stability on the Formation of Transcription–Regulator Complexes
cells Article An RBPJ-Drosophila Model Reveals Dependence of RBPJ Protein Stability on the Formation of Transcription–Regulator Complexes Bernd M. Gahr 1,2, Franziska Brändle 1, Mirjam Zimmermann 1 and Anja C. Nagel 1,* 1 Institute of Genetics (240), University of Hohenheim, Garbenstr. 30, 70599 Stuttgart, Germany; [email protected] (B.M.G.); [email protected] (F.B.); [email protected] (M.Z.) 2 Present address: Molecular Cardiology, Department of Internal Medicine II, University of Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany * Correspondence: [email protected]; Tel.: +49-711-45922210 Received: 23 August 2019; Accepted: 10 October 2019; Published: 14 October 2019 Abstract: Notch signaling activity governs widespread cellular differentiation in higher animals, including humans, and is involved in several congenital diseases and different forms of cancer. Notch signals are mediated by the transcriptional regulator RBPJ in a complex with activated Notch (NICD). Analysis of Notch pathway regulation in humans is hampered by a partial redundancy of the four Notch receptor copies, yet RBPJ is solitary, allowing its study in model systems. In Drosophila melanogaster, the RBPJ orthologue is encoded by Suppressor of Hairless [Su(H)]. Using genome engineering, we replaced Su(H) by murine RBPJ in order to study its function in the fly. In fact, RBPJ largely substitutes for Su(H)’s function, yet subtle phenotypes reflect increased Notch signaling activity. Accordingly, the binding of RBPJ to Hairless (H) protein, the general Notch antagonist in Drosophila, was considerably reduced compared to that of Su(H). An H-binding defective RBPJLLL mutant matched the respective Su(H)LLL allele: homozygotes were lethal due to extensive Notch hyperactivity. -
Jarid2 and PRC2, Partners in Regulating Gene Expression
Downloaded from genesdev.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Jarid2 and PRC2, partners in regulating gene expression Gang Li,1,2,6 Raphael Margueron,2,6 Manching Ku,1,3,4 Pierre Chambon,5 Bradley E. Bernstein,1,3,4 and Danny Reinberg1,2,7 1Howard Hughes Medical Institute, New York University Medical School, New York, New York 10016, USA; 2Department of Biochemistry, New York University Medical School, New York, New York 10016, USA; 3Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts 02142, USA; 4Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA; 5Department of Functional Genomics, Institut de Ge´ne´tique et de Biologie Mole´culaire et Cellulaire (IGBMC), Institut Clinique de la Souris (ICS), CNRS/INSERM/Universite´ de Strasbourg, BP10142, 67404 Illkirch, France The Polycomb group proteins foster gene repression profiles required for proper development and unimpaired adulthood, and comprise the components of the Polycomb-Repressive Complex 2 (PRC2) including the histone H3 Lys 27 (H3K27) methyltransferase Ezh2. How mammalian PRC2 accesses chromatin is unclear. We found that Jarid2 associates with PRC2 and stimulates its enzymatic activity in vitro. Jarid2 contains a Jumonji C domain, but is devoid of detectable histone demethylase activity. Instead, its artificial recruitment to a promoter in vivo resulted in corecruitment of PRC2 with resultant increased levels of di- and trimethylation of H3K27 (H3K27me2/3). Jarid2 colocalizes with Ezh2 and MTF2, a homolog of Drosophila Pcl, at endogenous genes in embryonic stem (ES) cells. Jarid2 can bind DNA and its recruitment in ES cells is interdependent with that of PRC2, as Jarid2 knockdown reduced PRC2 at its target promoters, and ES cells devoid of the PRC2 component EED are deficient in Jarid2 promoter access. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Mirc11 Disrupts Inflammatory but Not Cytotoxic Responses of NK Cells
Published OnlineFirst September 12, 2019; DOI: 10.1158/2326-6066.CIR-18-0934 Research Article Cancer Immunology Research Mirc11 Disrupts Inflammatory but Not Cytotoxic Responses of NK Cells Arash Nanbakhsh1, Anupallavi Srinivasamani1, Sandra Holzhauer2, Matthew J. Riese2,3,4, Yongwei Zheng5, Demin Wang4,5, Robert Burns6, Michael H. Reimer7,8, Sridhar Rao7,8, Angela Lemke9,10, Shirng-Wern Tsaih9,10, Michael J. Flister9,10, Shunhua Lao1,11, Richard Dahl12, Monica S. Thakar1,11, and Subramaniam Malarkannan1,3,4,9,11 Abstract Natural killer (NK) cells generate proinflammatory cyto- g–dependent clearance of Listeria monocytogenes or B16F10 kines that are required to contain infections and tumor melanoma in vivo by NK cells. These functional changes growth. However, the posttranscriptional mechanisms that resulted from Mirc11 silencing ubiquitin modifiers A20, regulate NK cell functions are not fully understood. Here, we Cbl-b, and Itch, allowing TRAF6-dependent activation of define the role of the microRNA cluster known as Mirc11 NF-kB and AP-1. Lack of Mirc11 caused increased translation (which includes miRNA-23a, miRNA-24a, and miRNA-27a) of A20, Cbl-b, and Itch proteins, resulting in deubiquityla- in NK cell–mediated proinflammatory responses. Absence tion of scaffolding K63 and addition of degradative K48 of Mirc11 did not alter the development or the antitumor moieties on TRAF6. Collectively, our results describe a func- cytotoxicity of NK cells. However, loss of Mirc11 reduced tion of Mirc11 that regulates generation of proinflammatory generation of proinflammatory factors in vitro and interferon- cytokines from effector lymphocytes. Introduction TRAF2 and TRAF6 promote K63-linked polyubiquitination that is required for subcellular localization of the substrates (20), Natural killer (NK) cells generate proinflammatory factors and and subsequent activation of NF-kB (21) and AP-1 (22).