Expressed Gene Fusions As Frequent Drivers of Poor Outcomes in Hormone Receptor–Positive Breast Cancer
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
IQSEC2 Antibody Cat
IQSEC2 Antibody Cat. No.: 8011 Western blot analysis of IQSEC2 in SK-N-SH cell lysate with IQSEC2 antibody at 1 μg/ml. Immunohistochemistry of IQSEC2 in mouse brain tissue with IQSEC2 antibody at 5 μg/ml. Specifications HOST SPECIES: Rabbit SPECIES REACTIVITY: Human, Mouse, Rat IQSEC2 antibody was raised against an 18 amino acid peptide near the carboxy terminus of human IQSEC2. IMMUNOGEN: The immunogen is located within amino acids 1380 - 1430 of IQSEC2. TESTED APPLICATIONS: ELISA, IHC-P, WB IQSEC2 antibody can be used for detection of IQSEC2 by Western blot at 1 - 2 μg/ml. Antibody can also be used for immunohistochemistry starting at 5 μg/mL. APPLICATIONS: Antibody validated: Western Blot in human samples and Immunohistochemistry in mouse samples. All other applications and species not yet tested. September 27, 2021 1 https://www.prosci-inc.com/iqsec2-antibody-8011.html IQSEC2 antibody is human, mouse and rat reactive. At least two isoforms of IQSEC2 are SPECIFICITY: known to exist; this antibody will only detect the larger isoform. IQSEC2 antibody is predicted to not cross-react with IQSEC1. POSITIVE CONTROL: 1) Cat. No. 1220 - SK-N-SH Cell Lysate Predicted: 104, 133, 141, 164 kDa PREDICTED MOLECULAR WEIGHT: Observed: 140 kDa Properties PURIFICATION: IQSEC2 antibody is affinity chromatography purified via peptide column. CLONALITY: Polyclonal ISOTYPE: IgG CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: IQSEC2 antibody is supplied in PBS containing 0.02% sodium azide. CONCENTRATION: 1 mg/mL IQSEC2 antibody can be stored at 4˚C for three months and -20˚C, stable for up to one STORAGE CONDITIONS: year. -
Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin-Dependent Kinase 2 and AKT Inhibition
Published OnlineFirst September 23, 2016; DOI: 10.1158/1078-0432.CCR-16-0620 Biology of Human Tumors Clinical Cancer Research Selective Targeting of Cyclin E1-Amplified High-Grade Serous Ovarian Cancer by Cyclin- Dependent Kinase 2 and AKT Inhibition George Au-Yeung1,2, Franziska Lang1, Walid J. Azar1, Chris Mitchell1, Kate E. Jarman3, Kurt Lackovic3,4, Diar Aziz5, Carleen Cullinane1,6, Richard B. Pearson1,2,7, Linda Mileshkin2,8, Danny Rischin2,8, Alison M. Karst9, Ronny Drapkin10, Dariush Etemadmoghadam1,2,5, and David D.L. Bowtell1,2,7,11 Abstract Purpose: Cyclin E1 (CCNE1) amplification is associated with Results: We validate CDK2 as a therapeutic target by demon- primary treatment resistance and poor outcome in high-grade strating selective sensitivity to gene suppression. However, we found serous ovarian cancer (HGSC). Here, we explore approaches to that dinaciclib did not trigger amplicon-dependent sensitivity in a target CCNE1-amplified cancers and potential strategies to over- panel of HGSC cell lines. A high-throughput compound screen come resistance to targeted agents. identified synergistic combinations in CCNE1-amplified HGSC, Experimental Design: To examine dependency on CDK2 in including dinaciclib and AKT inhibitors. Analysis of genomic data CCNE1-amplified HGSC, we utilized siRNA and conditional from TCGA demonstrated coamplification of CCNE1 and AKT2. shRNA gene suppression, and chemical inhibition using dina- Overexpression of Cyclin E1 and AKT isoforms, in addition to ciclib, a small-molecule CDK2 inhibitor. High-throughput mutant TP53, imparted malignant characteristics in untransformed compound screening was used to identify selective synergistic fallopian tube secretory cells, the dominant site of origin of HGSC. -
ACTL6A Promotes the Proliferation of Esophageal Squamous Cell Carcinoma Cells and Correlates with Poor Clinical Outcomes
OncoTargets and Therapy Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH ACTL6A Promotes the Proliferation of Esophageal Squamous Cell Carcinoma Cells and Correlates with Poor Clinical Outcomes This article was published in the following Dove Press journal: OncoTargets and Therapy Rui-zhe Li1 Background: ACTL6A, a regulatory subunit of ATP-dependent chromatin-remodeling Yun-yun Li1,2 complexes SWI/SNF, has been identified as a central oncogenic driver in many tumor types. Hui Qin1 Materials and Methods: We used immunohistochemistry (IHC) to detect ACTL6A Shan-shan Li1 expression in esophageal squamous cell carcinoma (ESCC) tissues. Then, the effect of ACTL6A on proliferation and DNA synthesis was explored by using cell counting kit 8 1 Department of Pathology, School of (CCK8) and EdU retention assays. The potential oncogenic mechanism of ACTL6A in Basic Medical Sciences, Zhengzhou University and First Affiliated Hospital of ESCC cells was also analyzed by flow cytometry and Western blotting. We further estab Zhengzhou University, Zhengzhou, lished an ESCC xenograft mouse model to validate the in vitro results. Henan 450000, People’s Republic of China; 2Department of Stomatology, First Results: ACTL6A expression, localized in cancer cell nuclei, was markedly higher in ESCC Affiliated Hospital of Zhengzhou tissues than in the corresponding noncancerous tissues (P<0.001) and was positively asso University, Zhengzhou, Henan 450000, ciated with tumor size, histological differentiation, T stage and tumor-node-metastasis People’s Republic of China (TNM) stage. Kaplan–Meier analysis revealed that high ACTL6A expression was signifi cantly associated with poor overall survival (OS) (P = 0.008, HR= 2.562, 95% CI: 1.241– 5.289), and decision curve analysis (DCA) demonstrated that ACTL6A could increase the clinical prognostic efficiency of the original clinical prediction model. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Coupling of Spliceosome Complexity to Intron Diversity
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.19.436190; this version posted March 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Coupling of spliceosome complexity to intron diversity Jade Sales-Lee1, Daniela S. Perry1, Bradley A. Bowser2, Jolene K. Diedrich3, Beiduo Rao1, Irene Beusch1, John R. Yates III3, Scott W. Roy4,6, and Hiten D. Madhani1,6,7 1Dept. of Biochemistry and Biophysics University of California – San Francisco San Francisco, CA 94158 2Dept. of Molecular and Cellular Biology University of California - Merced Merced, CA 95343 3Department of Molecular Medicine The Scripps Research Institute, La Jolla, CA 92037 4Dept. of Biology San Francisco State University San Francisco, CA 94132 5Chan-Zuckerberg Biohub San Francisco, CA 94158 6Corresponding authors: [email protected], [email protected] 7Lead Contact 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.19.436190; this version posted March 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. SUMMARY We determined that over 40 spliceosomal proteins are conserved between many fungal species and humans but were lost during the evolution of S. cerevisiae, an intron-poor yeast with unusually rigid splicing signals. We analyzed null mutations in a subset of these factors, most of which had not been investigated previously, in the intron-rich yeast Cryptococcus neoformans. -
Defining the Akt1 Interactome and Its Role in Regulating the Cell Cycle
www.nature.com/scientificreports OPEN Defning the Akt1 interactome and its role in regulating the cell cycle Shweta Duggal1,3, Noor Jailkhani2, Mukul Kumar Midha2, Namita Agrawal3, Kanury V. S. Rao1 & Ajay Kumar1 Received: 13 July 2017 Cell growth and proliferation are two diverse processes yet always linked. Akt1, a serine/threonine Accepted: 8 January 2018 kinase, is a multi-functional protein implicated in regulation of cell growth, survival and proliferation. Published: xx xx xxxx Though it has a role in G1/S progression, the manner by which Akt1 controls cell cycle and blends cell growth with proliferation is not well explored. In this study, we characterize the Akt1 interactome as the cell cycle progresses from G0 to G1/S and G2 phase. For this, Akt1-overexpressing HEK293 cells were subjected to AP-MS. To distinguish between individual cell cycle stages, cells were cultured in the light, medium and heavy labelled SILAC media. We obtained 213 interacting partners of Akt1 from these studies. GO classifcation revealed that a signifcant number of proteins fall into functional classes related to cell growth or cell cycle processes. Of these, 32 proteins showed varying association with Akt1 in diferent cell cycle stages. Further analyses uncovered a subset of proteins showing counteracting efects so as to tune stage-specifc progression through the cycle. Thus, our study provides some novel perspectives on Akt1-mediated regulation of the cell cycle and ofers the framework for a detailed resolution of the downstream cellular mechanisms that are mediated by this kinase. Te mammalian cell cycle consists of an ordered series of events and is a highly coordinated and regulated pro- cess1. -
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. -
Increased ACTL6A Occupancy Within Mswi/SNF Chromatin Remodelers
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.22.435873; this version posted March 22, 2021. 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. Increased ACTL6A Occupancy Within mSWI/SNF Chromatin Remodelers Drives Human Squamous Cell Carcinoma Chiung-Ying Chang1,2,7, Zohar Shipony3,7, Ann Kuo1,2, Kyle M. Loh4,5, William J. Greenleaf3,6, Gerald R. Crabtree1,2,5* 1Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, California 94305, USA. 2Department of Pathology, Stanford University School of Medicine, Stanford, California 94305, USA. 3Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA. 4Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, California 94305, USA. 5Department of Developmental Biology, Stanford University School of Medicine, Stanford, California 94305, USA. 6Department of Applied Physics, Stanford University, Stanford, California 94305, USA. 7These authors contributed equally. *Corresponding author: Gerald R. Crabtree, [email protected] Summary Mammalian SWI/SNF (BAF) chromatin remodelers play dosage-sensitive roles in many human malignancies and neurologic disorders. The gene encoding the BAF subunit, ACTL6A, is amplified at an early stage in the development of squamous cell carcinomas (SCCs), but its oncogenic role remains unclear. Here we demonstrate that ACTL6A overexpression leads to its stoichiometric assembly into BAF complexes and drives its interaction and engagement with specific regulatory regions in the genome. In normal epithelial cells, ACTL6A was sub-stoichiometric to other BAF subunits. However, increased ACTL6A levels by ectopic expression or in SCC cells led to near-saturation of ACTL6A within BAF complexes. -
Integrative Differential Expression and Gene Set Enrichment Analysis Using Summary Statistics for Scrna-Seq Studies
ARTICLE https://doi.org/10.1038/s41467-020-15298-6 OPEN Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies ✉ Ying Ma 1,7, Shiquan Sun 1,7, Xuequn Shang2, Evan T. Keller 3, Mengjie Chen 4,5 & Xiang Zhou 1,6 Differential expression (DE) analysis and gene set enrichment (GSE) analysis are commonly applied in single cell RNA sequencing (scRNA-seq) studies. Here, we develop an integrative 1234567890():,; and scalable computational method, iDEA, to perform joint DE and GSE analysis through a hierarchical Bayesian framework. By integrating DE and GSE analyses, iDEA can improve the power and consistency of DE analysis and the accuracy of GSE analysis. Importantly, iDEA uses only DE summary statistics as input, enabling effective data modeling through com- plementing and pairing with various existing DE methods. We illustrate the benefits of iDEA with extensive simulations. We also apply iDEA to analyze three scRNA-seq data sets, where iDEA achieves up to five-fold power gain over existing GSE methods and up to 64% power gain over existing DE methods. The power gain brought by iDEA allows us to identify many pathways that would not be identified by existing approaches in these data. 1 Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA. 2 School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi 710072, P.R. China. 3 Department of Urology, University of Michigan, Ann Arbor, MI 48109, USA. 4 Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA. 5 Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 60637, USA. -
Essential Genes and Their Role in Autism Spectrum Disorder
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Essential Genes And Their Role In Autism Spectrum Disorder Xiao Ji University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, and the Genetics Commons Recommended Citation Ji, Xiao, "Essential Genes And Their Role In Autism Spectrum Disorder" (2017). Publicly Accessible Penn Dissertations. 2369. https://repository.upenn.edu/edissertations/2369 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2369 For more information, please contact [email protected]. Essential Genes And Their Role In Autism Spectrum Disorder Abstract Essential genes (EGs) play central roles in fundamental cellular processes and are required for the survival of an organism. EGs are enriched for human disease genes and are under strong purifying selection. This intolerance to deleterious mutations, commonly observed haploinsufficiency and the importance of EGs in pre- and postnatal development suggests a possible cumulative effect of deleterious variants in EGs on complex neurodevelopmental disorders. Autism spectrum disorder (ASD) is a heterogeneous, highly heritable neurodevelopmental syndrome characterized by impaired social interaction, communication and repetitive behavior. More and more genetic evidence points to a polygenic model of ASD and it is estimated that hundreds of genes contribute to ASD. The central question addressed in this dissertation is whether genes with a strong effect on survival and fitness (i.e. EGs) play a specific oler in ASD risk. I compiled a comprehensive catalog of 3,915 mammalian EGs by combining human orthologs of lethal genes in knockout mice and genes responsible for cell-based essentiality. -
Integrating Text Mining, Data Mining, and Network Analysis for Identifying
Jurca et al. BMC Res Notes (2016) 9:236 DOI 10.1186/s13104-016-2023-5 BMC Research Notes RESEARCH ARTICLE Open Access Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends Gabriela Jurca1, Omar Addam1, Alper Aksac1, Shang Gao2, Tansel Özyer3, Douglas Demetrick4 and Reda Alhajj1,5* Abstract Background: Breast cancer is a serious disease which affects many women and may lead to death. It has received considerable attention from the research community. Thus, biomedical researchers aim to find genetic biomarkers indicative of the disease. Novel biomarkers can be elucidated from the existing literature. However, the vast amount of scientific publications on breast cancer make this a daunting task. This paper presents a framework which investigates existing literature data for informative discoveries. It integrates text mining and social network analysis in order to identify new potential biomarkers for breast cancer. Results: We utilized PubMed for the testing. We investigated gene–gene interactions, as well as novel interactions such as gene-year, gene-country, and abstract-country to find out how the discoveries varied over time and how overlapping/diverse are the discoveries and the interest of various research groups in different countries. Conclusions: Interesting trends have been identified and discussed, e.g., different genes are highlighted in relation- ship to different countries though the various genes were found to share functionality. Some text analysis based results have been validated against results from other tools that predict gene–gene relations and gene functions. Keywords: Breast cancer, Data mining, Text mining, Network analysis Background reducing the number of molecules to consider as poten- Introduction tial biomarkers. -
CTNNBL1 (NM 030877) Human Recombinant Protein Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP324836 CTNNBL1 (NM_030877) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human catenin, beta like 1 (CTNNBL1) Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 65 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_110517 Locus ID: 56259 UniProt ID: Q8WYA6 RefSeq Size: 1897 Cytogenetics: 20q11.23 RefSeq ORF: 1689 Synonyms: C20orf33; dJ633O20.1; NAP; P14L; PP8304 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 CTNNBL1 (NM_030877) Human Recombinant Protein – TP324836 Summary: The protein encoded by this gene is a component of the pre-mRNA-processing factor 19-cell division cycle 5-like (PRP19-CDC5L) protein complex, which activates pre-mRNA splicing and is an integral part of the spliceosome. The encoded protein is also a nuclear localization sequence binding protein, and binds to activation-induced deaminase and is important for antibody diversification.