Disruption of the Anaphase-Promoting Complex Confers Resistance to TTK Inhibitors in Triple-Negative Breast Cancer

Total Page:16

File Type:pdf, Size:1020Kb

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. This is evidenced by the fact that the the mechanisms mediating TTKi sensitivity and resistance could inform SAC is often weakened but rarely completely inactivated in cancer the successful development of this class of agents. We evaluated the cells (7–9). Abrogation of the SAC by TTK inhibition results in cellular effects of the potent clinical TTKi CFI-402257 in TNBC models. intolerable levels of genomic instability that are incompatible with CFI-402257 induced apoptosis and potentiated aneuploidy in TNBC cancer cell survival (10, 11). With several TTK inhibitors (TTKis) lines by accelerating progression through mitosis and inducing mitotic currently being evaluated as anticancer therapeutics in clinical segregation errors. We used genome-wide CRISPR/Cas9 screens in trials, a more complete understanding of the mechanisms medi- multiple TNBC cell lines to identify mechanisms of resistance to CFI- ating TTKi sensitivity and resistance could have a significant im- 402257. Our functional genomic screens identified members of the pact by guiding their successful clinical development. anaphase-promoting complex/cyclosome (APC/C) complex, which In this study, we aimed to identify cellular mechanisms of promotes mitotic progression following inactivation of the SAC. resistance to the clinical TTKi CFI-402257. Importantly, we in- Several screen candidates were validated to confer resistance to CFI- vestigated this question in biologically relevant, aneuploid TNBC 402257 and other TTKis using CRISPR/Cas9 and siRNA methods. These cell lines that model one of the principal human malignancies findings extend the observation that impairment of the APC/C enables for which CFI-402257 is being developed. Using genome-wide cells to tolerate genomic instability caused by SAC inactivation, and CRISPR/Cas9 enrichment screens in three TNBC models, we support the notion that a measure of APC/C function could predict found that genetic disruption of anaphase-promoting complex/ the response to TTK inhibition. Indeed, an APC/C gene expression cyclosome (APC/C) components or other genes involved in mitotic signature is significantly associated with CFI-402257 response in breast andlungadenocarcinomacelllinepanels. This expression signature, Significance along with somatic alterations in genes involved in mitotic progres- sion, represent potential biomarkers that could be evaluated in ongoing clinical trials of CFI-402257 or other TTKis. Using functional genomic screens, we have identified resistance mechanisms to the clinical TTK protein kinase inhibitor (TTKi) CFI-402257 in breast cancer. As this and other TTKi are currently TTK inhibitor | drug resistance | APC/C | CRISPR/Cas9 | breast cancer in clinical trials, understanding determinants of tumor drug re- sponse could permit rational selection of patients for treatment. riple-negative breast cancer (TNBC), characterized by lack of We found that TTKi resistance is conferred by impairing Texpression of estrogen and progesterone receptors or am- anaphase-promoting complex/cyclosome (APC/C) function to plification of HER2, is recognized as an aggressive disease with minimize the lethal effects of mitotic segregation errors. Dis- poor outcomes and short survival in the metastatic setting. While covery of this mechanism in aneuploid cancer cells builds on TNBC is a heterogeneous disease, the majority exhibit high levels previous reports indicating that weakening the APC/C pro- of aneuploidy and a dearth of actionable genetic alterations (e.g., motes tolerance of chromosomal instability in diploid cells. Our focal DNA amplifications or activating point mutations that can work suggests that APC/C functional capacity may serve as a be targeted) (1–3). The latter explains in part the current lack clinically useful biomarker of tumor response to TTKi that of targeted treatment options for this disease, and underscores warrants investigation in ongoing clinical trials. the need for novel treatment strategies. The recurrent somatic changes that occur in TNBC include nearly ubiquitous TP53 Author contributions: K.L.T., J.S., M.J.E., W.B.-a., B.H.-K., T.W.M., and D.W.C. designed mutations, as well as genetic alterations to other tumor sup- research; K.L.T., J.S., M.J.E., W.B.-a., M.H.D., and A.S.M. performed research; A.S.M., P.S., PTEN RB1 BRCA1 and Z.S. contributed new reagents/analytic tools; K.L.T., J.S., M.J.E., W.B.-a., M.H.D., pressors including , , and components of the A.C.E., B.H.-K., T.W.M., and D.W.C. analyzed data; and K.L.T., W.B.-a., B.H.-K., T.W.M., DNA damage response pathway (1). The loss of these critical and D.W.C. wrote the paper. regulators of the cell cycle and genome maintenance contribute Reviewers: M.E.B., University of Wisconsin; and S.E., Université Laval. to the genomic instability characteristic of TNBC, a hallmark The authors declare no conflict of interest. that represents a potential therapeutic vulnerability (4, 5). Published under the PNAS license. Inhibition of TTK protein kinase (TTK), also known as 1 To whom correspondence may be addressed. Email: [email protected] or dave. monopolar spindle 1 (MPS1), has emerged as a promising [email protected]. therapeutic strategy for the treatment of aneuploid tumors, with This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. TNBCs an important focus of clinical development. As a medi- 1073/pnas.1719577115/-/DCSupplemental. E1570–E1577 | PNAS | Published online January 29, 2018 www.pnas.org/cgi/doi/10.1073/pnas.1719577115 Downloaded by guest on September 25, 2021 PNAS PLUS progression confers resistance to CFI-402257 and other TTKis. Our A 132-BM-ADM MDA-MB-436 864-BM-ADM work independently validates and extends findings from a previous 120 *** 120 *** 120 *** study reporting that APC/C dysfunction promotes diploid cell tol- 100 100 100 (min) erability of genomic instability induced by reversine, a chemical 80 80 80 probe that inhibits TTK (12). Furthermore, we report an APC/C ase gene expression signature that is associated with response to CFI- 60 60 60 402257 in breast and lung cancer cell line panels. This genetic sig- 40 40 40 nature represents a promising biomarker for further development 20 20 20 NEBD - Anaph - NEBD NEBD - Anaphase (min) Anaphase - NEBD NEBD - Anaphase (min) Anaphase - NEBD and evaluation in ongoing clinical trials, where its application in 0 0 0 evaluating APC/C function could inform patient selection or predict DMSO CFI-402257 DMSO CFI-402257 DMSO CFI-402257 150nM 150nM 150nM drug response to clinical TTKis. MDA-MB-231 MDA-MB-436 MDA-MB-468 B ER MP LC AB N Results ** ** *** 100 CFI-402257 Accelerates Mitosis and Induces Mitotic Segregation 100 100 Errors and Apoptosis in TNBC. To study the cellular effects of 80 80 80 CFI-402257 in TNBC, we selected three commonly used cell 60 60 60 line models: MDA-MB-231, MDA-MB-468, and MDA-MB-436. Each line is reportedly aneuploid and contains a TP53 mutation 40 40 40 % of Mitoses % of Mitoses % of Mitoses (13), characteristic of clinical TNBC. The SAC functions to 20 20 20 prevent anaphase onset until all chromosomes are sufficiently 0 0 0 attached to the mitotic spindle, thereby ensuring proper chro- DMSO CFI-402257 DMSO CFI-402257 DMSO CFI-402257 mosome segregation during mitosis (6). TTK inhibition causes 150nM 150nM 150nM SAC inactivation and premature onset of anaphase with im- C DMSO 100nM 400nM properly segregated chromosomes. To assess the effects of TTK MDA-MB-231 MDA-MB-436 MDA-MB-468 100 100 100 inhibition on mitotic timing, live-cell microscopy was used to 0.33 4.41 1.39 80 1.28 80 8.52 80 3.36 measure the time from nuclear envelope breakdown (NEBD) to 18.6 43.1 49.7 onset of anaphase. CFI-402257 treatment (150 nM) significantly 60 60 60 reduced mitotic timing by twofold to threefold in all three cell 40 40 40 A lines (Fig. 1 ). As expected, scoring of mitotic cells identified 20 20 20 significantly more mitotic errors (e.g., lagging chromosomes, Mode To Normalized 0 0 0 anaphase bridges, and multipolar divisions) in CFI-402257– 103 104 103 104 103 104 treated compared with DMSO control-treated cells (Fig.
Recommended publications
  • Polyclonal Antibody to APC11 / ANAPC11 - Serum
    OriGene Technologies, Inc. OriGene Technologies GmbH 9620 Medical Center Drive, Ste 200 Schillerstr. 5 Rockville, MD 20850 32052 Herford UNITED STATES GERMANY Phone: +1-888-267-4436 Phone: +49-5221-34606-0 Fax: +1-301-340-8606 Fax: +49-5221-34606-11 [email protected] [email protected] R1503 Polyclonal Antibody to APC11 / ANAPC11 - Serum Alternate names: Anaphase-promoting complex subunit 11, Cyclosome subunit 11, HSPC214, Hepatocellular carcinoma-associated RING finger protein Quantity: 0.1 ml Concentration: 85 mg/ml (by Refractometry) Background: APC11 is also known as Anaphase promoting complex subunit 11, APC11, Cyclosome subunit 11, Hepatocellular carcinoma associated RING finger protein, and HSPC214. APC11 is a component of the anaphase promoting complex/cyclosome (APC/C), a cell cycle-regulated E3 ubiquitin ligase that controls progression through mitosis and the G1 phase of the cell cycle. APC11 may function to recruit the E2 ubiquitin-conjugating enzymes to the complex. APC11 interacts with the cullin domain of ANAPC2 and also interacts with UBE2D2. APC11 shows both a cytoplasmic and nuclear localization. APC11 is expressed at high levels in skeletal muscle and heart; in moderate levels in brain, kidney, and liver; and at low levels in colon, thymus, spleen, small intestine, placenta, lung and peripheral blood leukocyte. APC11 is a member of the RING-type zinc finger family and is auto-ubiquitinylated. Uniprot ID: Q9NYG5 NCBI: NP_001002244.1 GeneID: 51529 Host: Rabbit Immunogen: This APC11 antibody was prepared from whole rabbit serum produced by repeated immunizations with a synthetic peptide corresponding to amino acids 76-84 of Human APC11 (C-terminal) coupled to KLH.
    [Show full text]
  • Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice
    Loyola University Chicago Loyola eCommons Biology: Faculty Publications and Other Works Faculty Publications 2013 Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice Mihaela Palicev Gunter P. Wagner James P. Noonan Benedikt Hallgrimsson James M. Cheverud Loyola University Chicago, [email protected] Follow this and additional works at: https://ecommons.luc.edu/biology_facpubs Part of the Biology Commons Recommended Citation Palicev, M, GP Wagner, JP Noonan, B Hallgrimsson, and JM Cheverud. "Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice." Genome Biology and Evolution 5(10), 2013. This Article is brought to you for free and open access by the Faculty Publications at Loyola eCommons. It has been accepted for inclusion in Biology: Faculty Publications and Other Works by an authorized administrator of Loyola eCommons. For more information, please contact [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. © Palicev et al., 2013. GBE Genomic Correlates of Relationship QTL Involved in Fore- versus Hind Limb Divergence in Mice Mihaela Pavlicev1,2,*, Gu¨ nter P. Wagner3, James P. Noonan4, Benedikt Hallgrı´msson5,and James M. Cheverud6 1Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria 2Department of Pediatrics, Cincinnati Children‘s Hospital Medical Center, Cincinnati, Ohio 3Yale Systems Biology Institute and Department of Ecology and Evolutionary Biology, Yale University 4Department of Genetics, Yale University School of Medicine 5Department of Cell Biology and Anatomy, The McCaig Institute for Bone and Joint Health and the Alberta Children’s Hospital Research Institute for Child and Maternal Health, University of Calgary, Calgary, Canada 6Department of Anatomy and Neurobiology, Washington University *Corresponding author: E-mail: [email protected].
    [Show full text]
  • Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
    ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases.
    [Show full text]
  • Seq2pathway Vignette
    seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway.
    [Show full text]
  • Mouse Cdc27 Knockout Project (CRISPR/Cas9)
    https://www.alphaknockout.com Mouse Cdc27 Knockout Project (CRISPR/Cas9) Objective: To create a Cdc27 knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Cdc27 gene (NCBI Reference Sequence: NM_145436 ; Ensembl: ENSMUSG00000020687 ) is located on Mouse chromosome 11. 19 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 19 (Transcript: ENSMUST00000093923). Exon 2~7 will be selected as target site. Cas9 and gRNA will be co-injected into fertilized eggs for KO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 2 starts from about 1.13% of the coding region. Exon 2~7 covers 32.93% of the coding region. The size of effective KO region: ~8408 bp. The KO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 6 7 19 Legends Exon of mouse Cdc27 Knockout region Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot (up) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 2000 bp section upstream of Exon 2 is aligned with itself to determine if there are tandem repeats. Tandem repeats are found in the dot plot matrix. The gRNA site is selected outside of these tandem repeats. Overview of the Dot Plot (down) Window size: 15 bp Forward Reverse Complement Sequence 12 Note: The 1285 bp section downstream of Exon 7 is aligned with itself to determine if there are tandem repeats.
    [Show full text]
  • 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.
    [Show full text]
  • Download Download
    Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/)
    [Show full text]
  • The Involvement of Ubiquitination Machinery in Cell Cycle Regulation and Cancer Progression
    International Journal of Molecular Sciences Review The Involvement of Ubiquitination Machinery in Cell Cycle Regulation and Cancer Progression Tingting Zou and Zhenghong Lin * School of Life Sciences, Chongqing University, Chongqing 401331, China; [email protected] * Correspondence: [email protected] Abstract: The cell cycle is a collection of events by which cellular components such as genetic materials and cytoplasmic components are accurately divided into two daughter cells. The cell cycle transition is primarily driven by the activation of cyclin-dependent kinases (CDKs), which activities are regulated by the ubiquitin-mediated proteolysis of key regulators such as cyclins, CDK inhibitors (CKIs), other kinases and phosphatases. Thus, the ubiquitin-proteasome system (UPS) plays a pivotal role in the regulation of the cell cycle progression via recognition, interaction, and ubiquitination or deubiquitination of key proteins. The illegitimate degradation of tumor suppressor or abnormally high accumulation of oncoproteins often results in deregulation of cell proliferation, genomic instability, and cancer occurrence. In this review, we demonstrate the diversity and complexity of the regulation of UPS machinery of the cell cycle. A profound understanding of the ubiquitination machinery will provide new insights into the regulation of the cell cycle transition, cancer treatment, and the development of anti-cancer drugs. Keywords: cell cycle regulation; CDKs; cyclins; CKIs; UPS; E3 ubiquitin ligases; Deubiquitinases (DUBs) Citation: Zou, T.; Lin, Z. The Involvement of Ubiquitination Machinery in Cell Cycle Regulation and Cancer Progression. 1. Introduction Int. J. Mol. Sci. 2021, 22, 5754. https://doi.org/10.3390/ijms22115754 The cell cycle is a ubiquitous, complex, and highly regulated process that is involved in the sequential events during which a cell duplicates its genetic materials, grows, and di- Academic Editors: Kwang-Hyun Bae vides into two daughter cells.
    [Show full text]
  • Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia.
    [Show full text]
  • Intrinsic Disorder in PTEN and Its Interactome Confers Structural Plasticity and 63
    OPEN Intrinsic Disorder in PTEN and its SUBJECT AREAS: Interactome Confers Structural Plasticity CELLULAR SIGNALLING NETWORKS and Functional Versatility CANCER GENOMICS Prerna Malaney1*, Ravi Ramesh Pathak1*, Bin Xue3, Vladimir N. Uversky3,4,5 & Vrushank Dave´1,2 SYSTEMS ANALYSIS GENE REGULATORY NETWORKS 1Morsani College of Medicine, Department of Pathology and Cell Biology, 2Department of Molecular Oncology, H. Lee Moffitt Cancer Center and Research Institute, 3Department of Molecular Medicine, 4USF Health Byrd Alzheimer’s Research Institute, Received University of South Florida, Tampa, FL, 33612, USA, 5Institute for Biological Instrumentation, Russian Academy of Sciences, 142290 11 March 2013 Pushchino, Moscow Region, Russia. Accepted 3 June 2013 IDPs, while structurally poor, are functionally rich by virtue of their flexibility and modularity. However, how mutations in IDPs elicit diseases, remain elusive. Herein, we have identified tumor suppressor PTEN as Published an intrinsically disordered protein (IDP) and elucidated the molecular principles by which its intrinsically 20 June 2013 disordered region (IDR) at the carboxyl-terminus (C-tail) executes its functions. Post-translational modifications, conserved eukaryotic linear motifs and molecular recognition features present in the C-tail IDR enhance PTEN’s protein-protein interactions that are required for its myriad cellular functions. PTEN primary and secondary interactomes are also enriched in IDPs, most being cancer related, revealing that Correspondence and PTEN functions emanate from and are nucleated by the C-tail IDR, which form pliable network-hubs. requests for materials Together, PTEN higher order functional networks operate via multiple IDP-IDP interactions facilitated by should be addressed to its C-tail IDR. Targeting PTEN IDR and its interaction hubs emerges as a new paradigm for treatment of V.D.
    [Show full text]
  • Triplet Repeat Length Bias and Variation in the Human Transcriptome
    Triplet repeat length bias and variation in the human transcriptome Michael Mollaa,1,2, Arthur Delcherb,1, Shamil Sunyaevc, Charles Cantora,d,2, and Simon Kasifa,e aDepartment of Biomedical Engineering and dCenter for Advanced Biotechnology, Boston University, Boston, MA 02215; bCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742; cDepartment of Medicine, Division of Genetics, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115; and eCenter for Advanced Genomic Technology, Boston University, Boston, MA 02215 Contributed by Charles Cantor, July 6, 2009 (sent for review May 4, 2009) Length variation in short tandem repeats (STRs) is an important family including Huntington’s disease (10) and hereditary ataxias (11, 12). of DNA polymorphisms with numerous applications in genetics, All Huntington’s patients exhibit an expanded number of copies in medicine, forensics, and evolutionary analysis. Several major diseases the CAG tandem repeat subsequence in the N terminus of the have been associated with length variation of trinucleotide (triplet) huntingtin gene. Moreover, an increase in the repeat length is repeats including Huntington’s disease, hereditary ataxias and spi- anti-correlated to the onset age of the disease (13). Multiple other nobulbar muscular atrophy. Using the reference human genome, we diseases have also been associated with copy number variation of have catalogued all triplet repeats in genic regions. This data revealed tandem repeats (8, 14). Researchers have hypothesized that inap- a bias in noncoding DNA repeat lengths. It also enabled a survey of propriate repeat variation in coding regions could result in toxicity, repeat-length polymorphisms (RLPs) in human genomes and a com- incorrect folding, or aggregation of a protein.
    [Show full text]
  • The APC/C in Female Mammalian Meiosis I
    REPRODUCTIONREVIEW The APC/C in female mammalian meiosis I Hayden Homer1,2 1Mammalian Oocyte and Embryo Research Laboratory, Cell and Developmental Biology, UCL, London WC1E 6BT, UK and 2Reproductive Medicine Unit, Institute for Women’s Health, UCLH Elizabeth Garrett Anderson Wing, London NW1 2BU, UK Correspondence should be addressed to H Homer; Email: [email protected] Abstract The anaphase-promoting complex or cyclosome (APC/C) orchestrates a meticulously controlled sequence of proteolytic events critical for proper cell cycle progression, the details of which have been most extensively elucidated during mitosis. It has become apparent, however, that the APC/C, particularly when acting in concert with its Cdh1 co-activator (APC/CCdh1), executes a staggeringly diverse repertoire of functions that extend its remit well outside the bounds of mitosis. Findings over the past decade have not only earmarked mammalian oocyte maturation as one such case in point but have also begun to reveal a complex pattern of APC/C regulation that underpins many of the oocyte’s unique developmental attributes. This review will encompass the latest findings pertinent to the APC/C, especially APC/CCdh1, in mammalian oocytes and how its activity and substrates shape the stop–start tempo of female mammalian first meiotic division and the challenging requirement for assembling spindles in the absence of centrosomes. Reproduction (2013) 146 R61–R71 Introduction associated somatic follicular compartment at the time of ovulation. Significantly, although primordial germ cells Meiosis is the unique cell division that halves the in the ovary commit to meiosis during fetal life, it is chromosome compliment by coupling two successive not until postnatal adulthood that mature oocytes (or nuclear divisions with a single round of DNA replication.
    [Show full text]