Emerging Roles for the Non-Canonical Ikks in Cancer
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Gene Essentiality Landscape and Druggable Oncogenic Dependencies in Herpesviral Primary Effusion Lymphoma
ARTICLE DOI: 10.1038/s41467-018-05506-9 OPEN Gene essentiality landscape and druggable oncogenic dependencies in herpesviral primary effusion lymphoma Mark Manzano1, Ajinkya Patil1, Alexander Waldrop2, Sandeep S. Dave2, Amir Behdad3 & Eva Gottwein1 Primary effusion lymphoma (PEL) is caused by Kaposi’s sarcoma-associated herpesvirus. Our understanding of PEL is poor and therefore treatment strategies are lacking. To address this 1234567890():,; need, we conducted genome-wide CRISPR/Cas9 knockout screens in eight PEL cell lines. Integration with data from unrelated cancers identifies 210 genes as PEL-specific oncogenic dependencies. Genetic requirements of PEL cell lines are largely independent of Epstein-Barr virus co-infection. Genes of the NF-κB pathway are individually non-essential. Instead, we demonstrate requirements for IRF4 and MDM2. PEL cell lines depend on cellular cyclin D2 and c-FLIP despite expression of viral homologs. Moreover, PEL cell lines are addicted to high levels of MCL1 expression, which are also evident in PEL tumors. Strong dependencies on cyclin D2 and MCL1 render PEL cell lines highly sensitive to palbociclib and S63845. In summary, this work comprehensively identifies genetic dependencies in PEL cell lines and identifies novel strategies for therapeutic intervention. 1 Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. 2 Duke Cancer Institute and Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA. 3 Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. Correspondence and requests for materials should be addressed to E.G. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:3263 | DOI: 10.1038/s41467-018-05506-9 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-05506-9 he human oncogenic γ-herpesvirus Kaposi’s sarcoma- (IRF4), a critical oncogene in multiple myeloma33. -
Price List for Out-Of-State Patients (Jul 2017 – Dec 2017)
Department of Diagnostic Genomics QEII Medical Centre PRICE LIST FOR OUT-OF-STATE PATIENTS (JUL 2017 – DEC 2017) What methods of testing do we employ? Available Methods PCR and/or Sanger DNA Sequencing for predictive testing and familial cascade screening. Targeted Massive Parallel Sequencing (MPS) panels and Sanger sequencing to analyse large genes. MLPA to detect larger deletions and duplications. MS-MLPA to detect methylation changes in addition to deletions and duplications. If you are unsure which method is appropriate for your patient, please contact us by phone on 08 6383 4223 or email on [email protected]. Who do we accept testing requests from? Requesting Clinicians Diagnostic testing can only be requested by a suitably qualified clinician – we do not provide a service direct to the public. For some tests, we will only accept requests once the patient has undergone genetic counselling from a recognised genetic counsellor, due to the clinical sensitivity of these tests. What types of sample(s) are required for testing? Sample requirements for each test are listed below. EDTA Samples Most tests will require a single 2-4mls sample of blood collected with an EDTA preservative. EDTA samples must arrive at our lab within 5 days of phlebotomy, and must be sent at room temperature. Tissue 10-50mg of tissue is required for DNA extraction DNA 1-5µg of extracted DNA (depending on test request) in place of EDTA blood Predictive Testing We recommend testing two separate EDTA blood samples collected from the patient at least 10 minutes apart. Familial Cancer and We recommend testing a second EDTA blood sample in cases where a pathogenic variant is found. -
Core Lab Brochure
CHOOSE THE MOST TRUSTED LONG-READ TECHNOLOGY FOR YOUR CORE Sequence with Confidence The Sequel® II and IIe Systems are powered by Single Molecule, Real-Time (SMRT®) Sequencing, a technology proven to produce highly accurate long reads, known as HiFi reads, for sequencing data you and your customers can trust. SMRT SEQUENCING IS SMART BUSINESS HiFi Reads: PacBio is the only sequencing technology to offer highly accurate long reads. Because HiFi reads are extremely accurate, downstream analysis is simplified and streamlined, requiring less compute time than the error-prone long reads of other technologies. High Throughput: The Sequel II and IIe Systems have high data yields on robust, highly automated platforms to increase productivity and reduce project costs. Efficient and Easy-To-Use Workflows: Our end-to-end solutions feature library preparation in <3 hours and many push- button analysis workflows, so you can run projects quickly and easily. Support: All of our products are backed by a global team of scientists, bioinformaticians, and engineers who stand ready to provide you with outstanding service. OUTSTANDING PERFORMANCE AND RELIABILITY 99% of runs on the Sequel II System completed successfully Sequel II Systems provide reliable performance with the total bases produced by the PacBio fleet steadily increasing, and 99% of runs completed successfully. “In our experience, the Sequel II System was essentially production-ready right out of the box. We have used it for a range of applications and sample types — from human genome sequencing to metagenome and microbiome profiling to non-model plant and animal genomes — and results have been very good.” — Luke Tallon, Director of the Genomics Resource Center at Maryland Genomics pacb.com/Sequel SMRT SEQUENCING APPLICATIONS – EFFICIENT AND COST EFFECTIVE The Sequel II and IIe Systems support a wide range of applications, each adding unique value to a sequencing study. -
Supplementary Figure S1. Intracellular Ca2+ Levels Following Decursin Treatment in F11 Cells in the Presence of Menthol
Supplementary Figure S1. Intracellular Ca2+ levels following decursin treatment in F11 cells in the presence of menthol (A) Intracellular Ca2+ levels after treatment with decursin every 3 s. The red arrow indicates the duration of treatment with 200 μM of menthol and decursin. NC: The negative control treated with DMSO only; PC: The positive control treated with 200 μM menthol without decursin. (B) Average intracellular Ca2+ levels after treatment with decursin. The average was quantified from the normalized Δ340/380 ratio for 10 cycles after treatment with the decursin solution at the 10th cycle, as shown in Fig. 1A. The normalized Δ340/380 ratio was calculated using the following for- mula: [ratio of fluorescence intensity at 510 nm (emission) to that at 340 nm (excitation)]/[ratio of fluorescence intensity at 510 nm (emission) to that at a wavelength of 380 nm (excitation)]. Cells 2021, 10, 547. https://doi.org/10.3390/cells10030547 www.mdpi.com/journal/cells Cells 2021, 10, 547 2 of 5 Table S1. List of protein targets of decursin detected by the SwissTargetPrediction web tool Common Target Uniprot ID ChEMBL ID Target Class Probability name Poly [ADP-ribose] polymerase-1 PARP1 P09874 CHEMBL3105 Enzyme 0.104671941 N-acylsphingosine-amidohydro- NAAA Q02083 CHEMBL4349 Enzyme 0.104671941 lase Acid ceramidase ASAH1 Q13510 CHEMBL5463 Enzyme 0.104671941 Family A G protein- Neuropeptide Y receptor type 5 NPY5R Q15761 CHEMBL4561 0.104671941 coupled receptor Family A G protein- Melatonin receptor 1A MTNR1A P48039 CHEMBL1945 0.104671941 coupled -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
Anti-IRAK4 Antibody (ARG54631)
Product datasheet [email protected] ARG54631 Package: 50 μg anti-IRAK4 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes IRAK4 Tested Reactivity Hu Tested Application ICC/IF, WB Specificity This antibody specifically recognizeshuman IRAK-4 (IL-1 ReceptorAssociated Kinase-4). This antibodydoes not cross-react with other IRAKs. Host Rabbit Clonality Polyclonal Isotype IgG Target Name IRAK4 Antigen Species Human Immunogen A synthetic peptidecorresponding to amino acids at thecarboxy terminus of human IRAK-4. Conjugation Un-conjugated Alternate Names REN64; Renal carcinoma antigen NY-REN-64; NY-REN-64; Interleukin-1 receptor-associated kinase 4; EC 2.7.11.1; IRAK-4; IPD1 Application Instructions Application table Application Dilution ICC/IF Assay-dependent WB Assay-dependent Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control HeLa and K562 Calculated Mw 52 kDa Properties Form Liquid Purification purified by Immunoaffinity chromatography. Buffer PBS (pH 7.4) and 0.02% Sodium azide Preservative 0.02% Sodium azide Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/3 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Database links GeneID: 51135 Human Swiss-port # Q9NWZ3 Human Gene Symbol IRAK4 Gene Full Name interleukin-1 receptor-associated kinase 4 Background IRAK-4 activates the NF-B and MAPKpathways and plays a role in IL-1Rmediated inflammatory responses andinnate immunity. -
Genetic Landscape of Papillary Thyroid Carcinoma and Nuclear Architecture: an Overview Comparing Pediatric and Adult Populations
cancers Review Genetic Landscape of Papillary Thyroid Carcinoma and Nuclear Architecture: An Overview Comparing Pediatric and Adult Populations 1, 2, 2 3 Aline Rangel-Pozzo y, Luiza Sisdelli y, Maria Isabel V. Cordioli , Fernanda Vaisman , Paola Caria 4,*, Sabine Mai 1,* and Janete M. Cerutti 2 1 Cell Biology, Research Institute of Oncology and Hematology, University of Manitoba, CancerCare Manitoba, Winnipeg, MB R3E 0V9, Canada; [email protected] 2 Genetic Bases of Thyroid Tumors Laboratory, Division of Genetics, Department of Morphology and Genetics, Universidade Federal de São Paulo/EPM, São Paulo, SP 04039-032, Brazil; [email protected] (L.S.); [email protected] (M.I.V.C.); [email protected] (J.M.C.) 3 Instituto Nacional do Câncer, Rio de Janeiro, RJ 22451-000, Brazil; [email protected] 4 Department of Biomedical Sciences, University of Cagliari, 09042 Cagliari, Italy * Correspondence: [email protected] (P.C.); [email protected] (S.M.); Tel.: +1-204-787-2135 (S.M.) These authors contributed equally to this paper. y Received: 29 September 2020; Accepted: 26 October 2020; Published: 27 October 2020 Simple Summary: Papillary thyroid carcinoma (PTC) represents 80–90% of all differentiated thyroid carcinomas. PTC has a high rate of gene fusions and mutations, which can influence clinical and biological behavior in both children and adults. In this review, we focus on the comparison between pediatric and adult PTC, highlighting genetic alterations, telomere-related genomic instability and changes in nuclear organization as novel biomarkers for thyroid cancers. Abstract: Thyroid cancer is a rare malignancy in the pediatric population that is highly associated with disease aggressiveness and advanced disease stages when compared to adult population. -
Supplementary Table 7. Characterization of Human Proteins Involved in the Prostate Cancer Pathway
Supplementary Table 7. Characterization of human proteins involved in the prostate cancer pathway f Protein UniProt Protein PONDR-FIT MobiDB Location (length) Location (length) Nint ID length (%)b consensus of long disordered of AIBSse a c d (NAIBS) (%) regions BAD, Bcl2-associated Q92934 168 100.00 84.54 1-105 (105) 1-53 (53) 66 agonist of cell death (4/70.8) 122-147 (27) 57-80 (24) 158-168 (11) 100-129 (30) 146-157 (12) CREB5; cyclic AMP- Q02930 508 85.24 75.39 46-59 (14) 66-86 (21) 65 responsive element (7/67.9) 86-393 (308) 99-183 (85) binding protein 5 447-470 (24) 188-358 (171) 479-508 (31) 362-370 (9) 378-406 (29) 421-444 (24) 503-508 (6) CREB1, cyclic AMP- P16220 341 79.47 40.47 1-32 (32) 32-44 (13) 169 responsive element- (7/29.3) 40-50 (11) 89-104 (16) binding protein 1 102-132 (33) 128-145 (18) 138-171 (34) 166-191 (26) 271-285 (15) 265-270 (6) 307-314 (8) 329-341 (13) FOXO1, Forkhead box Q12778 655 78.63 72.82 1-69 (69) 1-32 (32) 68 protein O1 (19/56.9) 74-101 (28) 54-82 (29) 105-160 (56) 88-118 (31) 199-210 (12) 160-172 (13) 229-336 (107) 182-196 (15) 385-450 (66) 216-226 (11) 463-488 (26) 258-280 (23) 498-569 (72) 289-297 (9) 644-655 (12) 306-314 (9) 323-365 (43) 371-388 (18) 301-409 (8) 447-469 (23) 483-517 (35) 528-545 (18) 550-565 (16) 570-592 (23) 605-612 (8) TCF7L1, transcription Q9HCS4 588 77.04 61.90 1-104 (104) 1-46 (46) 4 factor 7 like 1 (16/54.5) 161-183 (23) 53-74 (22) 192-238 (47) 94-135 (42) 316-344 (29) 146-159 (14) 406-512 (107) 191-201 (11) 524-546 (21) 234-252 (19) 274-288 (15) 349-371 (23) 373-383 (11) -
PIM2-Mediated Phosphorylation of Hexokinase 2 Is Critical for Tumor Growth and Paclitaxel Resistance in Breast Cancer
Oncogene (2018) 37:5997–6009 https://doi.org/10.1038/s41388-018-0386-x ARTICLE PIM2-mediated phosphorylation of hexokinase 2 is critical for tumor growth and paclitaxel resistance in breast cancer 1 1 1 1 1 2 2 3 Tingting Yang ● Chune Ren ● Pengyun Qiao ● Xue Han ● Li Wang ● Shijun Lv ● Yonghong Sun ● Zhijun Liu ● 3 1 Yu Du ● Zhenhai Yu Received: 3 December 2017 / Revised: 30 May 2018 / Accepted: 31 May 2018 / Published online: 9 July 2018 © The Author(s) 2018. This article is published with open access Abstract Hexokinase-II (HK2) is a key enzyme involved in glycolysis, which is required for breast cancer progression. However, the underlying post-translational mechanisms of HK2 activity are poorly understood. Here, we showed that Proviral Insertion in Murine Lymphomas 2 (PIM2) directly bound to HK2 and phosphorylated HK2 on Thr473. Biochemical analyses demonstrated that phosphorylated HK2 Thr473 promoted its protein stability through the chaperone-mediated autophagy (CMA) pathway, and the levels of PIM2 and pThr473-HK2 proteins were positively correlated with each other in human breast cancer. Furthermore, phosphorylation of HK2 on Thr473 increased HK2 enzyme activity and glycolysis, and 1234567890();,: 1234567890();,: enhanced glucose starvation-induced autophagy. As a result, phosphorylated HK2 Thr473 promoted breast cancer cell growth in vitro and in vivo. Interestingly, PIM2 kinase inhibitor SMI-4a could abrogate the effects of phosphorylated HK2 Thr473 on paclitaxel resistance in vitro and in vivo. Taken together, our findings indicated that PIM2 was a novel regulator of HK2, and suggested a new strategy to treat breast cancer. Introduction ATP molecules. -
Novel Driver Strength Index Highlights Important Cancer Genes in TCGA Pancanatlas Patients
medRxiv preprint doi: https://doi.org/10.1101/2021.08.01.21261447; this version posted August 5, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Novel Driver Strength Index highlights important cancer genes in TCGA PanCanAtlas patients Aleksey V. Belikov*, Danila V. Otnyukov, Alexey D. Vyatkin and Sergey V. Leonov Laboratory of Innovative Medicine, School of Biological and Medical Physics, Moscow Institute of Physics and Technology, 141701 Dolgoprudny, Moscow Region, Russia *Corresponding author: [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2021.08.01.21261447; this version posted August 5, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Abstract Elucidating crucial driver genes is paramount for understanding the cancer origins and mechanisms of progression, as well as selecting targets for molecular therapy. Cancer genes are usually ranked by the frequency of mutation, which, however, does not necessarily reflect their driver strength. Here we hypothesize that driver strength is higher for genes that are preferentially mutated in patients with few driver mutations overall, because these few mutations should be strong enough to initiate cancer. -
Supplementary Table 1. in Vitro Side Effect Profiling Study for LDN/OSU-0212320. Neurotransmitter Related Steroids
Supplementary Table 1. In vitro side effect profiling study for LDN/OSU-0212320. Percent Inhibition Receptor 10 µM Neurotransmitter Related Adenosine, Non-selective 7.29% Adrenergic, Alpha 1, Non-selective 24.98% Adrenergic, Alpha 2, Non-selective 27.18% Adrenergic, Beta, Non-selective -20.94% Dopamine Transporter 8.69% Dopamine, D1 (h) 8.48% Dopamine, D2s (h) 4.06% GABA A, Agonist Site -16.15% GABA A, BDZ, alpha 1 site 12.73% GABA-B 13.60% Glutamate, AMPA Site (Ionotropic) 12.06% Glutamate, Kainate Site (Ionotropic) -1.03% Glutamate, NMDA Agonist Site (Ionotropic) 0.12% Glutamate, NMDA, Glycine (Stry-insens Site) 9.84% (Ionotropic) Glycine, Strychnine-sensitive 0.99% Histamine, H1 -5.54% Histamine, H2 16.54% Histamine, H3 4.80% Melatonin, Non-selective -5.54% Muscarinic, M1 (hr) -1.88% Muscarinic, M2 (h) 0.82% Muscarinic, Non-selective, Central 29.04% Muscarinic, Non-selective, Peripheral 0.29% Nicotinic, Neuronal (-BnTx insensitive) 7.85% Norepinephrine Transporter 2.87% Opioid, Non-selective -0.09% Opioid, Orphanin, ORL1 (h) 11.55% Serotonin Transporter -3.02% Serotonin, Non-selective 26.33% Sigma, Non-Selective 10.19% Steroids Estrogen 11.16% 1 Percent Inhibition Receptor 10 µM Testosterone (cytosolic) (h) 12.50% Ion Channels Calcium Channel, Type L (Dihydropyridine Site) 43.18% Calcium Channel, Type N 4.15% Potassium Channel, ATP-Sensitive -4.05% Potassium Channel, Ca2+ Act., VI 17.80% Potassium Channel, I(Kr) (hERG) (h) -6.44% Sodium, Site 2 -0.39% Second Messengers Nitric Oxide, NOS (Neuronal-Binding) -17.09% Prostaglandins Leukotriene, -
Functional Evaluation of an IKBKG Variant Suspected to Cause Immunodeficiency Without Ectodermal Dysplasia
J Clin Immunol DOI 10.1007/s10875-017-0448-9 ORIGINAL ARTICLE Functional Evaluation of an IKBKG Variant Suspected to Cause Immunodeficiency Without Ectodermal Dysplasia Glynis Frans1 & Jutte van der Werff Ten Bosch2 & Leen Moens1 & Rik Gijsbers3,4 & Majid Changi-Ashtiani5 & Hassan Rokni-Zadeh6 & Mohammad Shahrooei7,8 & Greet Wuyts1 & Isabelle Meyts9,10 & Xavier Bossuyt1,11 Received: 16 January 2017 /Accepted: 20 September 2017 # Springer Science+Business Media, LLC 2017 Abstract Hypomorphic IKBKG mutations in males are typi- graded normally upon stimulation with IL-1β or TNF-α. cally associated with anhidrotic ectodermal dysplasia with im- Transduction of wild-type and variant NEMO in NEMO−/− munodeficiency (EDA-ID). Some mutations cause immuno- deficient SV40 fibroblasts revealed a slight but significant deficiency without EDA (NEMO-ID). The immunological reduction of IL-6 production upon stimulation with IL-1β profile associated with these NEMO-ID variants is not fully and TNF-α. In conclusion, we demonstrated that documented. We present a 2-year-old patient with suspected p.Glu57Lys leads to specific immunological defects in vitro. immunodeficiency in which a hemizygous p.Glu57Lys No other pathogenic PID variants were identified through IKBKG variant was identified. At the age of 1 year, he had whole exome sequencing. As rare polymorphisms have been an episode of otitis media that evolved into a bilateral mas- described in IKBKG and polygenic inheritance remains an toiditis (Pseudomonas spp). Hypogammaglobulinemia, spe- option in the presented case, this study emphasizes the need cific (polysaccharide) antibody deficiency, and low switched for thorough functional and genetic evaluation when encoun- memory B cell subsets were noticed.