Genome-Wide Transcriptome Profiling of Homologous Recombination DNA
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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 -
Bioinformatics Analysis Reveals Meaningful Markers and Outcome Predictors in HBV‑Associated Hepatocellular Carcinoma
EXPERIMENTAL AND THERAPEUTIC MEDICINE 20: 427-435, 2020 Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV‑associated hepatocellular carcinoma LIJIE ZHANG, JOYMAN MAKAMURE, DAN ZHAO, YIMING LIU, XIAOPENG GUO, CHUANSHENG ZHENG and BIN LIANG Department of Radiology, Hubei Key Laboratory of Molecular Imaging, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430022, P.R. China Received April 20, 2019; Accepted December 5, 2019 DOI: 10.3892/etm.2020.8722 Abstract. Hepatocellular carcinoma (HCC) is the most the high degree of connectivity by using Cytoscape software. common type of malignant neoplasm of the liver with high In addition, overall survival (OS) and disease‑free survival morbidity and mortality. Extensive research into the pathology (DFS) analyses were performed using the Gene Expression of HCC has been performed; however, the molecular Profiling Interactive Analysis online database, which revealed mechanisms underlying the development of hepatitis B that the increased expression of all hub genes were associated virus-associated HCC have remained elusive. Thus, the present with poorer OS and DFS outcomes. Receiver operating study aimed to identify critical genes and pathways associated characteristic curves were constructed using GraphPad prism with the development and progression of HCC. The expression 7.0 software. The results confirmed that 15 hub genes were profiles of the GSE121248 dataset were downloaded from the able to distinguish HCC form normal tissues. Furthermore, the Gene Expression Omnibus database and the differentially expression levels of three key genes were analyzed in tumor expressed genes (DEGs) were identified. Gene Ontology and normal samples of the Human Protein Atlas database. -
Small-Molecule Binding Sites to Explore New Targets in the Cancer Proteome
Electronic Supplementary Material (ESI) for Molecular BioSystems. This journal is © The Royal Society of Chemistry 2016 Small-molecule binding sites to explore new targets in the cancer proteome David Xu, Shadia I. Jalal, George W. Sledge Jr., and Samy O. Meroueh* Supplementary Text Druggable Binding Sites across all 10 Diseases. Using the previously established cutoffs, we identified genes that were overexpressed across multiple cancer types and featured druggable binding sites. We ranked these genes based on the total number of tumors that overexpressed the gene (Fig. S1). Using a simple PubMed query, we then counted the number of articles in which either the gene symbol or gene name was co-mentioned with the term ‘cancer’. Most of the most frequently occurring differentially-expressed genes correspond to proteins of well- established cancer targets. Among them are matrix metalloproteinases (MMPs), including MMP1, MMP9, and MMP12, which are implicated in tumor invasion and metastasis (1). There are several protein kinases, including TTK, AURKA, AURKB, and PLK1, that are involved in cell signaling and well-established oncology targets (2). Some genes among this list that have not been extensively studied nor targeted in cancer. These include the serine/threonine kinase PKMYT1 (MYT1) is a regulator of G2/M transition in the cell cycle, but lacks focused small molecule inhibitors that specifically target the kinase. Recent efforts in developing small molecule inhibitors involve repurposing of available kinase inhibitors to specifically target the kinase (3). A subunit of the GINS complex GINS2 (PSF2) is involved in cell proliferation and survival in cancer cell lines (4,5). -
Androgen Receptor
RALTITREXED Dihydrofolate reductase BORTEZOMIB IsocitrateCannabinoid dehydrogenase CB1EPIRUBICIN receptor HYDROCHLORIDE [NADP] cytoplasmic VINCRISTINE SULFATE Hypoxia-inducible factor 1 alpha DOXORUBICINAtaxin-2 HYDROCHLORIDENIFENAZONEFOLIC ACID PYRIMETHAMINECellular tumor antigen p53 Muscleblind-likeThyroidVINBURNINEVINBLASTINETRIFLURIDINE protein stimulating 1 DEQUALINIUM SULFATEhormone receptor CHLORIDE Menin/Histone-lysine N-methyltransferasePHENELZINE MLLLANATOSIDE SULFATE C MELATONINDAUNORUBICINBETAMETHASONEGlucagon-like HYDROCHLORIDEEndonuclease peptide 4 1 receptor NICLOSAMIDEDIGITOXINIRINOTECAN HYDROCHLORIDE HYDRATE BISACODYL METHOTREXATEPaired boxAZITHROMYCIN protein Pax-8 ATPase family AAA domain-containing proteinLIPOIC 5 ACID, ALPHA Nuclear receptorCLADRIBINEDIGOXIN ROR-gammaTRIAMTERENE CARMUSTINEEndoplasmic reticulum-associatedFLUOROURACIL amyloid beta-peptide-binding protein OXYPHENBUTAZONEORLISTAT IDARUBICIN HYDROCHLORIDE 6-phospho-1-fructokinaseHeat shockSIMVASTATIN protein beta-1 TOPOTECAN HYDROCHLORIDE AZACITIDINEBloom syndromeNITAZOXANIDE protein Huntingtin Human immunodeficiency virus typeTIPRANAVIR 1 protease VitaminCOLCHICINE D receptorVITAMIN E FLOXURIDINE TAR DNA-binding protein 43 BROMOCRIPTINE MESYLATEPACLITAXEL CARFILZOMIBAnthrax lethalFlap factorendonucleasePrelamin-A/C 1 CYTARABINE Vasopressin V2 receptor AMITRIPTYLINEMicrotubule-associated HYDROCHLORIDERetinoidTRIMETHOPRIM proteinMothers X receptor tau against alpha decapentaplegic homolog 3 Histone-lysine N-methyltransferase-PODOFILOX H3 lysine-9OXYQUINOLINE -
Disruption of the Anaphase-Promoting Complex Confers Resistance to TTK Inhibitors in Triple-Negative Breast Cancer
Disruption of the anaphase-promoting complex confers resistance to TTK inhibitors in triple-negative breast cancer K. L. Thua,b, J. Silvestera,b, M. J. Elliotta,b, W. Ba-alawib,c, M. H. Duncana,b, A. C. Eliaa,b, A. S. Merb, P. Smirnovb,c, Z. Safikhanib, B. Haibe-Kainsb,c,d,e, T. W. Maka,b,c,1, and D. W. Cescona,b,f,1 aCampbell Family Institute for Breast Cancer Research, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada M5G 1L7; bPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada M5G 1L7; cDepartment of Medical Biophysics, University of Toronto, Toronto, ON, Canada M5G 1L7; dDepartment of Computer Science, University of Toronto, Toronto, ON, Canada M5G 1L7; eOntario Institute for Cancer Research, Toronto, ON, Canada M5G 0A3; and fDepartment of Medicine, University of Toronto, Toronto, ON, Canada M5G 1L7 Contributed by T. W. Mak, December 27, 2017 (sent for review November 9, 2017; reviewed by Mark E. Burkard and Sabine Elowe) TTK protein kinase (TTK), also known as Monopolar spindle 1 (MPS1), ator of the spindle assembly checkpoint (SAC), which delays is a key regulator of the spindle assembly checkpoint (SAC), which anaphase until all chromosomes are properly attached to the functions to maintain genomic integrity. TTK has emerged as a mitotic spindle, TTK has an integral role in maintaining genomic promising therapeutic target in human cancers, including triple- integrity (6). Because most cancer cells are aneuploid, they are negative breast cancer (TNBC). Several TTK inhibitors (TTKis) are heavily reliant on the SAC to adequately segregate their abnormal being evaluated in clinical trials, and an understanding of karyotypes during mitosis. -
Human Kinases Info Page
Human Kinase Open Reading Frame Collecon Description: The Center for Cancer Systems Biology (Dana Farber Cancer Institute)- Broad Institute of Harvard and MIT Human Kinase ORF collection from Addgene consists of 559 distinct human kinases and kinase-related protein ORFs in pDONR-223 Gateway® Entry vectors. All clones are clonal isolates and have been end-read sequenced to confirm identity. Kinase ORFs were assembled from a number of sources; 56% were isolated as single cloned isolates from the ORFeome 5.1 collection (horfdb.dfci.harvard.edu); 31% were cloned from normal human tissue RNA (Ambion) by reverse transcription and subsequent PCR amplification adding Gateway® sequences; 11% were cloned into Entry vectors from templates provided by the Harvard Institute of Proteomics (HIP); 2% additional kinases were cloned into Entry vectors from templates obtained from collaborating laboratories. All ORFs are open (stop codons removed) except for 5 (MST1R, PTK7, JAK3, AXL, TIE1) which are closed (have stop codons). Detailed information can be found at: www.addgene.org/human_kinases Handling and Storage: Store glycerol stocks at -80oC and minimize freeze-thaw cycles. To access a plasmid, keep the plate on dry ice to prevent thawing. Using a sterile pipette tip, puncture the seal above an individual well and spread a portion of the glycerol stock onto an agar plate. To patch the hole, use sterile tape or a portion of a fresh aluminum seal. Note: These plasmid constructs are being distributed to non-profit institutions for the purpose of basic -
PI3K/AKT/Mtor Pathway Inhibitors in Triple-Negative Breast Cancer
Drug Discovery Today Volume 24, Number 11 November 2019 REVIEWS PI3K/AKT/mTOR pathway inhibitors in triple-negative breast cancer: a review POST SCREEN on drug discovery and future challenges Reviews 1 3 4 2 Mohammad A. Khan , Vineet K. Jain , Md. Rizwanullah , Javed Ahmad and 3 Keerti Jain 1 Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India 2 Department of Pharmaceutics, College of Pharmacy, Najran University, Saudi Arabia 3 Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, 110017, India 4 Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India Triple-negative breast cancer (TNBC) is a highly malignant subtype of breast cancer associated with poor prognosis. Although conventional chemotherapy regimens have shown some effectiveness in early TNBC cases, the outcome in advanced stages is poor. The PI3K/AKT/mTOR pathway is one of the important and active pathways involved in chemoresistance and survival of TNBC. This pathway is speculated to play an important part in malignant transformation and has been considered as a potential molecular target for the design of therapeutic agents to treat TNBC. This review discusses the potentials and drug discovery perspectives of PI3K/AKT/mTOR as a therapeutic target for effective management of TNBC with anticipated challenges. Introduction as triple-negative breast cancer (TNBC). Out of these two subcate- Cancer is the second-leading cause of death globally despite exten- gories, the former has better prognosis. The third subtype of breast sive research being carried out worldwide to combat this dreadful cancer is one that shows HER2 amplification [1,2,4]. -
PRODUCTS and SERVICES Target List
PRODUCTS AND SERVICES Target list Kinase Products P.1-11 Kinase Products Biochemical Assays P.12 "QuickScout Screening Assist™ Kits" Kinase Protein Assay Kits P.13 "QuickScout Custom Profiling & Panel Profiling Series" Targets P.14 "QuickScout Custom Profiling Series" Preincubation Targets Cell-Based Assays P.15 NanoBRET™ TE Intracellular Kinase Cell-Based Assay Service Targets P.16 Tyrosine Kinase Ba/F3 Cell-Based Assay Service Targets P.17 Kinase HEK293 Cell-Based Assay Service ~ClariCELL™ ~ Targets P.18 Detection of Protein-Protein Interactions ~ProbeX™~ Stable Cell Lines Crystallization Services P.19 FastLane™ Structures ~Premium~ P.20-21 FastLane™ Structures ~Standard~ Kinase Products For details of products, please see "PRODUCTS AND SERVICES" on page 1~3. Tyrosine Kinases Note: Please contact us for availability or further information. Information may be changed without notice. Expression Protein Kinase Tag Carna Product Name Catalog No. Construct Sequence Accession Number Tag Location System HIS ABL(ABL1) 08-001 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) BTN BTN-ABL(ABL1) 08-401-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ABL(ABL1) [E255K] HIS ABL(ABL1)[E255K] 08-094 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) HIS ABL(ABL1)[T315I] 08-093 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) [T315I] BTN BTN-ABL(ABL1)[T315I] 08-493-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ACK(TNK2) GST ACK(TNK2) 08-196 Catalytic domain -
Clinical, Molecular, and Immune Analysis of Dabrafenib-Trametinib
Supplementary Online Content Chen G, McQuade JL, Panka DJ, et al. Clinical, molecular and immune analysis of dabrafenib-trametinib combination treatment for metastatic melanoma that progressed during BRAF inhibitor monotherapy: a phase 2 clinical trial. JAMA Oncology. Published online April 28, 2016. doi:10.1001/jamaoncol.2016.0509. eMethods. eReferences. eTable 1. Clinical efficacy eTable 2. Adverse events eTable 3. Correlation of baseline patient characteristics with treatment outcomes eTable 4. Patient responses and baseline IHC results eFigure 1. Kaplan-Meier analysis of overall survival eFigure 2. Correlation between IHC and RNAseq results eFigure 3. pPRAS40 expression and PFS eFigure 4. Baseline and treatment-induced changes in immune infiltrates eFigure 5. PD-L1 expression eTable 5. Nonsynonymous mutations detected by WES in baseline tumors This supplementary material has been provided by the authors to give readers additional information about their work. © 2016 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 09/30/2021 eMethods Whole exome sequencing Whole exome capture libraries for both tumor and normal samples were constructed using 100ng genomic DNA input and following the protocol as described by Fisher et al.,3 with the following adapter modification: Illumina paired end adapters were replaced with palindromic forked adapters with unique 8 base index sequences embedded within the adapter. In-solution hybrid selection was performed using the Illumina Rapid Capture Exome enrichment kit with 38Mb target territory (29Mb baited). The targeted region includes 98.3% of the intervals in the Refseq exome database. Dual-indexed libraries were pooled into groups of up to 96 samples prior to hybridization. -
Regulation of Canonical and Non-Canonical Hippo Pathway Components in Mitosis and Cancer
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Fall 12-14-2018 Regulation of Canonical and Non-Canonical Hippo Pathway Components in Mitosis and Cancer Seth Stauffer University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Biology Commons, Cancer Biology Commons, and the Cell Biology Commons Recommended Citation Stauffer, Seth, "Regulation of Canonical and Non-Canonical Hippo Pathway Components in Mitosis and Cancer" (2018). Theses & Dissertations. 312. https://digitalcommons.unmc.edu/etd/312 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. REGULATION OF CANONICAL AND NON- CANONICAL HIPPO PATHWAY COMPONENTS IN MITOSIS AND CANCER by Seth D. Stauffer A DISSERTATION Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Pathology & Microbiology Graduate Program Under the Supervision of Professor Jixin Dong University of Nebraska Medical Center Omaha, Nebraska November, 2018 Supervisory Committee: Kaustubh Datta, Ph.D. Pankaj Singh, Ph.D. Rakesh Singh, Ph.D. Robert Lewis, Ph.D. i ACKNOWLEDGMENTS First and foremost I would like to thank my incredible advisor, Dr. Jixin Dong, without whom this thesis would not be possible. I consider myself tremendously fortunate to be working with an advisor that mentors his students by attaining the perfect equilibrium between providing structured guidance and allowing us absolute independence. -
Lestaurtinib
LESTAURTINIB MIDOSTAURIN AXITINIB Tyrosine-protein kinase TIE-2 Serine/threonine-protein kinase 2Mitogen-activated protein kinase kinase kinase kinase 5 Serine/threonine-protein kinase MST2 NERATINIB SPS1/STE20-related protein kinase YSK4 SORAFENIB Dual specificity mitogen-activated protein kinase kinase 5 Proto-oncogene tyrosine-protein kinase MER Platelet-derivedTANDUTINIB growth factor receptor beta Epithelial discoidin domain-containing receptor 1 NINTEDANIB Mixed lineage kinase 7 Macrophage colonyTyrosine-protein stimulating kinasefactor receptorreceptor UFOTyrosine-protein kinase BLK Tyrosine-protein kinase LCK NILOTINIB Serine/threonine-protein kinase 10 NT-3 growth factor receptor DiscoidinMitogen-activated domain-containing protein receptor kinase 2 kinase kinase kinase 3 Tyrosine-protein kinase ABL Nerve growth factor receptor Trk-A FORETINIBEphrin type-B receptor 6 Adaptor-associated kinaseQUIZARTINIB Ephrin type-AEphrin receptor type-B receptor5 2 Mitogen-activated proteinTyrosine-protein kinase kinase kinaseTyrosine-protein kinase JAK3 kinase 2 kinase receptor FLT3 Fibroblast growth factorSerine/threonine-protein receptor 1 kinase Aurora-B Ephrin type-A receptor 8 Serine/threonine-proteinDual specificty protein kinase kinase PLK4Mitogen-activated CLK1 protein kinase kinase kinase 12 Misshapen-like kinase 1Cyclin-dependent kinase-like 2 Platelet-derivedLINIFANIB growth factor receptorEphrin alpha type-A receptor 4 c-Jun N-terminal kinaseALISERTIB 3 Serine/threonine-protein kinase SIK1 PONATINIB Dual specificity protein kinaseStem -
Supplementary Material Profiling Bovine Blastocyst Micrornas Using
10.1071/RD16110_AC © CSIRO 2017 Supplementary Material: Reproduction, Fertility and Development, 2017, 29(8), 1545–1555. Supplementary Material Profiling bovine blastocyst microRNAs using deep sequencing R. PasquarielloA,G, B. Fernandez-FuertesB, F. StrozziC, F. PizziD, R. MazzaE, P. LonerganB, F. GandolfiF and J. L. WilliamsA ADipartimento di Scienze Agrarie e Ambientali – Produzione, Territori, Università degli Studi di Milano, Via Celoria 2, 20133, Milan, Italy. BSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Dublin, Ireland. CParco Tecnologico Padano, Via Einstein Albert, 26900, Lodi, Italy. DIstituto di Biologia e Biotecnologia Agraria – Consiglio Nazionale delle Ricerche, Via Einstein Albert, 26900, Lodi, Italy. EAssociazione Italiana Allevatori, Via Bergamo 292, 26100, Cremona, Italy. FSchool of Animal and Veterinary Sciences, Faculty of Science, University of Adelaide, Roseworthy, SA 5371, Australia. GCorresponding author. Email: [email protected] Fig. 1a Fig. 1b Fig. 1c Fig. 1. Electropherograms of libraries obtained after polymerase chain reaction (PCR) amplification of 15 cycles from each sample in Procedure 1 (a), Procedure 2 (b) and Procedure 3 (c) before size selection. Lower (25 nucleotides (nt)) and upper (1500 nt) peaks indicate the ladder fragments of known length. Individual replicates (samples) are shown for each procedure. Fig. 2. Electropherograms of libraries obtained after size selection step (peak at 154 nucleotides (nt)). All eight libraries were pooled and deep sequencing was performed in a lane of an Illumina flow cell (Illumina). Lower (25 nt) and upper (1500 nt) peaks indicate the ladder fragments of known length. Table S1. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways obtained using DIANA miRPath v2.0 are reported up to P<0.0001.