TELO2 Induced Progression of Colorectal Cancer by Binding with RICTOR Through Mtorc2
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Genetic Screen Identifies the Triple T Complex Required for DNA Damage Signaling and ATM and ATR Stability
Downloaded from genesdev.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press A genetic screen identifies the Triple T complex required for DNA damage signaling and ATM and ATR stability Kristen E. Hurov, Cecilia Cotta-Ramusino, and Stephen J. Elledge1 Howard Hughes Medical Institute and Department of Genetics, Harvard Medical School, Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts 02115, USA In response to DNA damage, cells activate a complex signal transduction network called the DNA damage response (DDR). To enhance our current understanding of the DDR network, we performed a genome-wide RNAi screen to identify genes required for resistance to ionizing radiation (IR). Along with a number of known DDR genes, we discovered a large set of novel genes whose depletion leads to cellular sensitivity to IR. Here we describe TTI1 (Tel two-interacting protein 1) and TTI2 as highly conserved regulators of the DDR in mammals. TTI1 and TTI2 protect cells from spontaneous DNA damage, and are required for the establishment of the intra-S and G2/M checkpoints. TTI1 and TTI2 exist in multiple complexes, including a 2-MDa complex with TEL2 (telomere maintenance 2), called the Triple T complex, and phosphoinositide-3-kinase-related protein kinases (PIKKs) such as ataxia telangiectasia-mutated (ATM). The components of the TTT complex are mutually dependent on each other, and act as critical regulators of PIKK abundance and checkpoint signaling. [Keywords: TTI1; TEL2; TTI2; PIKK; TTT complex; IR sensitivity] Supplemental material is available at http://www.genesdev.org. Received April 5, 2010; revised version accepted July 22, 2010. -
Current State of Mtor Targeting in Human Breast Cancer UMAR WAZIR 1,2 , ALI WAZIR 3, ZUBAIR S
CANCER GENOMICS & PROTEOMICS 11 : 167-174 (2014) Review Current State of mTOR Targeting in Human Breast Cancer UMAR WAZIR 1,2 , ALI WAZIR 3, ZUBAIR S. KHANZADA 4, WEN G. JIANG 4, ANUP K. SHARMA 2 and KEFAH MOKBEL 1,2 1The London Breast Institute, Princess Grace Hospital, London, U.K.; 2Department of Breast Surgery, St. George’s Hospital and Medical School, University of London, London, U.K.; 3Aga Khan University, Karachi, Pakistan; 4Cardiff University-Peking University Cancer Institute (CUPUCI), University Department of Surgery, Cardiff University School of Medicine, Cardiff University, Cardiff, Wales, U.K. Abstract. Background/Aim: The mammalian, or Subsequently, it was found to have immunosuppressive mechanistic, target of rapamycin (mTOR) pathway has been properties, and is currently used therapeutically in renal implicated in several models of human oncogenesis. transplant patients. Like tacrolimus and cyclosporine, it Research in the role of mTOR in human oncogenesis affects the actions of interlekin-2 (IL-2). Unlike tacrolimus, remains a field of intense activity. In this mini-review, we which reduces IL-2 transcription by T-cells, sirolimus intend to recount our current understanding of the mTOR inhibits the proliferative effects of IL-2 on T-cells (3). In pathway, its interactions, and its role in human mammalian models, rapamycin was known to form a carcinogenesis in general, and breast cancer in particular. complex with FK506 binding protein 1A, 12 kDa Materials and Methods: We herein outline the discrete (FKBP12), which interacts with the mammalian, or components of the two complexes of mTOR, and attempt to mechanistic, target of rapamycin (mTOR) subunit of define their distinct roles and interactions. -
Molecular Evolution in Immune Genes Across the Avian Tree of Life Cambridge.Org/Pao
Parasitology Open Molecular evolution in immune genes across the avian tree of life cambridge.org/pao Diana C. Outlaw1, V. Woody Walstrom1, Haley N. Bodden1, Chuan-yu Hsu2, Mark Arick II2 and Daniel G. Peterson2 Research Article 1Department of Biological Sciences, Mississippi State University, PO Box GY, Mississippi State, MS 39762, USA and Cite this article: Outlaw DC, Walstrom VW, 2Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, 2 Research Boulevard, Box Bodden HN, Hsu Chuan-yu, Arick II M, Peterson 9627, Starkville, MS 39759, USA DG (2019). Molecular evolution in immune genes across the avian tree of life. Parasitology Open 5, e3, 1–9. https://doi.org/10.1017/ Abstract pao.2019.3 All organisms encounter pathogens, and birds are especially susceptible to infection by mal- Received: 11 July 2018 aria parasites and other haemosporidians. It is important to understand how immune genes, Revised: 22 February 2019 primarily innate immune genes which are the first line of host defense, have evolved across Accepted: 22 February 2019 birds, a highly diverse group of tetrapods. Here, we find that innate immune genes are highly Key words: conserved across the avian tree of life and that although most show evidence of positive or Malaria parasites; haemosporidians; birds; diversifying selection within specific lineages or clades, the number of sites is often propor- molecular evolution; immune genes; innate tionally low in this broader context of putative constraint. Rather, evidence shows a much immunity; bird transcriptome higher level of negative or purifying selection in these innate immune genes – rather than – ’ Author for correspondence: adaptive immune genes which is consistent with birds long coevolutionary history with Diana C. -
2014-Platform-Abstracts.Pdf
American Society of Human Genetics 64th Annual Meeting October 18–22, 2014 San Diego, CA PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Saturday 41 Statistical Methods for Population 5:30pm–6:50pm: Session 2: Plenary Abstracts Based Studies Room 20A #198–#205 Featured Presentation I (4 abstracts) Hall B1 #1–#4 42 Genome Variation and its Impact on Autism and Brain Development Room 20BC #206–#213 Sunday 43 ELSI Issues in Genetics Room 20D #214–#221 1:30pm–3:30pm: Concurrent Platform Session A (12–21): 44 Prenatal, Perinatal, and Reproductive 12 Patterns and Determinants of Genetic Genetics Room 28 #222–#229 Variation: Recombination, Mutation, 45 Advances in Defining the Molecular and Selection Hall B1 Mechanisms of Mendelian Disorders Room 29 #230–#237 #5-#12 13 Genomic Studies of Autism Room 6AB #13–#20 46 Epigenomics of Normal Populations 14 Statistical Methods for Pedigree- and Disease States Room 30 #238–#245 Based Studies Room 6CF #21–#28 15 Prostate Cancer: Expression Tuesday Informing Risk Room 6DE #29–#36 8:00pm–8:25am: 16 Variant Calling: What Makes the 47 Plenary Abstracts Featured Difference? Room 20A #37–#44 Presentation III Hall BI #246 17 New Genes, Incidental Findings and 10:30am–12:30pm:Concurrent Platform Session D (49 – 58): Unexpected Observations Revealed 49 Detailing the Parts List Using by Exome Sequencing Room 20BC #45–#52 Genomic Studies Hall B1 #247–#254 18 Type 2 Diabetes Genetics Room 20D #53–#60 50 Statistical Methods for Multigene, 19 Genomic Methods in Clinical Practice Room 28 #61–#68 Gene Interaction -
Download Special Issue
BioMed Research International Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data Guest Editors: Julia Tzu-Ya Weng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data BioMed Research International Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data Guest Editors: Julia Tzu-Ya Weng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Copyright © 2014 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “BioMed Research International.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Contents Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data,JuliaTzu-YaWeng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Volume2014,ArticleID814092,3pages Evolution of Network Biomarkers from Early to Late Stage Bladder Cancer Samples,Yung-HaoWong, Cheng-Wei Li, and Bor-Sen Chen Volume 2014, Article ID 159078, 23 pages MicroRNA Expression Profiling Altered by Variant Dosage of Radiation Exposure,Kuei-FangLee, Yi-Cheng Chen, Paul Wei-Che Hsu, Ingrid Y. Liu, and Lawrence Shih-Hsin Wu Volume2014,ArticleID456323,10pages EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction, Chih-Hao Lu, Chin-Sheng -
Visual Gene Network Analysis of Aging-Specific Gene Co-Expression
4open 2018, 1,4 © B.P. Parida et al., Published by EDP Sciences 2018 https://doi.org/10.1051/fopen/2018004 Available online at: www.4open-sciences.org RESEARCH ARTICLE Visual gene network analysis of aging-specific gene co-expression in human indicates overlaps with immuno-pathological regulations Bibhu Prasad Parida1,*, Biswapriya Biswavas Misra2, Amarendra Narayan Misra3,4 1 Post-Graduate Department of Biosciences and Biotechnology, School of Biotechnology, Fakir Mohan University, Balasore 756020, Odisha, India 2 Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem 27157, NC, USA 3 Central University of Jharkhand, Brambe, Ratu-Lohardaga Road, Ranchi 835205, Jharkhand, India 4 Khallikote University, Berhampur 760001, Odisha, India Received 19 September 2017, Accepted 4 July 2018 Abstract- - Introduction: Aging is a complex biological process that brings about a gradual decline of physiological and metabolic machineries as a result of maturity. Also, aging is irreversible and leads ultimately to death in biological organisms. Methods: We intend to characterize aging at the gene expression level using publicly available human gene expression arrays obtained from gene expression omnibus (GEO) and ArrayExpress. Candidate genes were identified by rigorous screening using filtered data sets, i.e., GSE11882, GSE47881, and GSE32719. Using Aroma and Limma packages, we selected the top 200 genes showing up and down regulation (p < 0.05 and fold change >2.5) out of which 185 were chosen for further comparative analysis. Results: This investigation enabled identification of candidate genes involved in aging that are associated with several signaling cascades demonstrating strong correlation with ATP binding and protease functions. -
Impact of Low-Frequency Coding Variants on Human Facial Shape
www.nature.com/scientificreports OPEN Impact of low‑frequency coding variants on human facial shape Dongjing Liu1, Nora Alhazmi2,3, Harold Matthews4,5, Myoung Keun Lee6, Jiarui Li7, Jacqueline T. Hecht8, George L. Wehby9, Lina M. Moreno10, Carrie L. Heike11, Jasmien Roosenboom6, Eleanor Feingold1,12, Mary L. Marazita1,6, Peter Claes4,7, Eric C. Liao13, Seth M. Weinberg1,6* & John R. Shafer1,6* The contribution of low‑frequency variants to the genetic architecture of normal‑range facial traits is unknown. We studied the infuence of low‑frequency coding variants (MAF < 1%) in 8091 genes on multi‑dimensional facial shape phenotypes in a European cohort of 2329 healthy individuals. Using three‑dimensional images, we partitioned the full face into 31 hierarchically arranged segments to model facial morphology at multiple levels, and generated multi‑dimensional phenotypes representing the shape variation within each segment. We used MultiSKAT, a multivariate kernel regression approach to scan the exome for face‑associated low‑frequency variants in a gene‑based manner. After accounting for multiple tests, seven genes (AR, CARS2, FTSJ1, HFE, LTB4R, TELO2, NECTIN1) were signifcantly associated with shape variation of the cheek, chin, nose and mouth areas. These genes displayed a wide range of phenotypic efects, with some impacting the full face and others afecting localized regions. The missense variant rs142863092 in NECTIN1 had a signifcant efect on chin morphology and was predicted bioinformatically to have a deleterious efect on protein function. Notably, NECTIN1 is an established craniofacial gene that underlies a human syndrome that includes a mandibular phenotype. We further showed that nectin1a mutations can afect zebrafsh craniofacial development, with the size and shape of the mandibular cartilage altered in mutant animals. -