Regulation of Microtubule Dynamics by Protein Interaction Networks At
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Title a New Centrosomal Protein Regulates Neurogenesis By
Title A new centrosomal protein regulates neurogenesis by microtubule organization Authors: Germán Camargo Ortega1-3†, Sven Falk1,2†, Pia A. Johansson1,2†, Elise Peyre4, Sanjeeb Kumar Sahu5, Loïc Broic4, Camino De Juan Romero6, Kalina Draganova1,2, Stanislav Vinopal7, Kaviya Chinnappa1‡, Anna Gavranovic1, Tugay Karakaya1, Juliane Merl-Pham8, Arie Geerlof9, Regina Feederle10,11, Wei Shao12,13, Song-Hai Shi12,13, Stefanie M. Hauck8, Frank Bradke7, Victor Borrell6, Vijay K. Tiwari§, Wieland B. Huttner14, Michaela Wilsch- Bräuninger14, Laurent Nguyen4 and Magdalena Götz1,2,11* Affiliations: 1. Institute of Stem Cell Research, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 2. Physiological Genomics, Biomedical Center, Ludwig-Maximilian University Munich, Germany. 3. Graduate School of Systemic Neurosciences, Biocenter, Ludwig-Maximilian University Munich, Germany. 4. GIGA-Neurosciences, Molecular regulation of neurogenesis, University of Liège, Belgium 5. Institute of Molecular Biology (IMB), Mainz, Germany. 6. Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d’Alacant, Spain. 7. Laboratory for Axon Growth and Regeneration, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany. 8. Research Unit Protein Science, Helmholtz Centre Munich, German Research Center for Environmental Health, Munich, Germany. 9. Protein Expression and Purification Facility, Institute of Structural Biology, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 10. Institute for Diabetes and Obesity, Monoclonal Antibody Core Facility, Helmholtz Center Munich, German Research Center for Environmental Health, Munich, Germany. 11. SYNERGY, Excellence Cluster of Systems Neurology, Biomedical Center, Ludwig- Maximilian University Munich, Germany. 12. Developmental Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, USA 13. -
Bioinformatics Identi Cation of Prognostic Factors Associated With
Bioinformatics Identication of Prognostic Factors Associated with Breast Cancer Ying Wei Sichuan University https://orcid.org/0000-0001-8178-4705 Shipeng Zhang College of Pharmacy, North Sichuan Medical College Li Xiao West China School of Basic Medical Sciences and Forensic Medicine Jing Zou West China School of Basic Medical Sciences and Forensic Medicine Yingqing Fu West China School of Basic Medical Sciences and Forensic Medicine Yi Ye West China School of Basic Medical Sciences and Forensic Medicine Linchuan Liao ( [email protected] ) West China School of Basic Medical Sciences and Forensic Medicine https://orcid.org/0000-0003-3700-8471 Research Keywords: Breast cancer, Differentially expressed genes, miRNAs, Transcription factors, Bioinformatic analysis Posted Date: December 2nd, 2020 DOI: https://doi.org/10.21203/rs.3.rs-117477/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/23 Abstract Background: Breast cancer (BRCA) remains one of the most common forms of cancer and is the most prominent driver of cancer-related death among women. The mechanistic basis for BRCA, however, remains incompletely understood. In particular, the relationships between driver mutations and signaling pathways in BRCA are poorly characterized, making it dicult to identify reliable clinical biomarkers that can be employed in diagnostic, therapeutic, or prognostic contexts. Methods: First, we downloaded publically available BRCA datasets (GSE45827, GSE42568, and GSE61304) from the Gene Expression Omnibus (GEO) database. We then compared gene expression proles between tumor and control tissues in these datasets using Venn diagrams and the GEO2R analytical tool. We further explore the functional relevance of BRCA-associated differentially expressed genes (DEGs) via functional and pathway enrichment analyses using the DAVID tool, and we then constructed a protein-protein interaction network incorporating DEGs of interest using the Search Tool for the Retrieval of Interacting Genes (STRING) database. -
Kinesin-4 KIF21B Limits Microtubule Growth to Allow Rapid Centrosome
RESEARCH ARTICLE Kinesin-4 KIF21B limits microtubule growth to allow rapid centrosome polarization in T cells Peter Jan Hooikaas1†, Hugo GJ Damstra1†, Oane J Gros1, Wilhelmina E van Riel1‡, Maud Martin1§, Yesper TH Smits2, Jorg van Loosdregt2, Lukas C Kapitein1, Florian Berger1*, Anna Akhmanova1* 1Cell Biology, Neurobiology and Biophysics, Department of Biology, Faculty of Science, Utrecht University, Utrecht, Netherlands; 2Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands Abstract When a T cell and an antigen-presenting cell form an immunological synapse, rapid dynein-driven translocation of the centrosome toward the contact site leads to reorganization of microtubules and associated organelles. Currently, little is known about how the regulation of *For correspondence: microtubule dynamics contributes to this process. Here, we show that the knockout of KIF21B, a [email protected] (FB); kinesin-4 linked to autoimmune disorders, causes microtubule overgrowth and perturbs [email protected] (AA) centrosome translocation. KIF21B restricts microtubule length by inducing microtubule pausing typically followed by catastrophe. Catastrophe induction with vinblastine prevented microtubule †These authors contributed overgrowth and was sufficient to rescue centrosome polarization in KIF21B-knockout cells. equally to this work Biophysical simulations showed that a relatively small number of KIF21B molecules can restrict ‡ Present address: Netherlands mirotubule length and promote an imbalance -
The P53/P73 - P21cip1 Tumor Suppressor Axis Guards Against Chromosomal Instability by Restraining CDK1 in Human Cancer Cells
Oncogene (2021) 40:436–451 https://doi.org/10.1038/s41388-020-01524-4 ARTICLE The p53/p73 - p21CIP1 tumor suppressor axis guards against chromosomal instability by restraining CDK1 in human cancer cells 1 1 2 1 2 Ann-Kathrin Schmidt ● Karoline Pudelko ● Jan-Eric Boekenkamp ● Katharina Berger ● Maik Kschischo ● Holger Bastians 1 Received: 2 July 2020 / Revised: 2 October 2020 / Accepted: 13 October 2020 / Published online: 9 November 2020 © The Author(s) 2020. This article is published with open access Abstract Whole chromosome instability (W-CIN) is a hallmark of human cancer and contributes to the evolvement of aneuploidy. W-CIN can be induced by abnormally increased microtubule plus end assembly rates during mitosis leading to the generation of lagging chromosomes during anaphase as a major form of mitotic errors in human cancer cells. Here, we show that loss of the tumor suppressor genes TP53 and TP73 can trigger increased mitotic microtubule assembly rates, lagging chromosomes, and W-CIN. CDKN1A, encoding for the CDK inhibitor p21CIP1, represents a critical target gene of p53/p73. Loss of p21CIP1 unleashes CDK1 activity which causes W-CIN in otherwise chromosomally stable cancer cells. fi Vice versa 1234567890();,: 1234567890();,: Consequently, induction of CDK1 is suf cient to induce abnormal microtubule assembly rates and W-CIN. , partial inhibition of CDK1 activity in chromosomally unstable cancer cells corrects abnormal microtubule behavior and suppresses W-CIN. Thus, our study shows that the p53/p73 - p21CIP1 tumor suppressor axis, whose loss is associated with W-CIN in human cancer, safeguards against chromosome missegregation and aneuploidy by preventing abnormally increased CDK1 activity. -
Supplementary Data
SUPPLEMENTARY DATA A cyclin D1-dependent transcriptional program predicts clinical outcome in mantle cell lymphoma Santiago Demajo et al. 1 SUPPLEMENTARY DATA INDEX Supplementary Methods p. 3 Supplementary References p. 8 Supplementary Tables (S1 to S5) p. 9 Supplementary Figures (S1 to S15) p. 17 2 SUPPLEMENTARY METHODS Western blot, immunoprecipitation, and qRT-PCR Western blot (WB) analysis was performed as previously described (1), using cyclin D1 (Santa Cruz Biotechnology, sc-753, RRID:AB_2070433) and tubulin (Sigma-Aldrich, T5168, RRID:AB_477579) antibodies. Co-immunoprecipitation assays were performed as described before (2), using cyclin D1 antibody (Santa Cruz Biotechnology, sc-8396, RRID:AB_627344) or control IgG (Santa Cruz Biotechnology, sc-2025, RRID:AB_737182) followed by protein G- magnetic beads (Invitrogen) incubation and elution with Glycine 100mM pH=2.5. Co-IP experiments were performed within five weeks after cell thawing. Cyclin D1 (Santa Cruz Biotechnology, sc-753), E2F4 (Bethyl, A302-134A, RRID:AB_1720353), FOXM1 (Santa Cruz Biotechnology, sc-502, RRID:AB_631523), and CBP (Santa Cruz Biotechnology, sc-7300, RRID:AB_626817) antibodies were used for WB detection. In figure 1A and supplementary figure S2A, the same blot was probed with cyclin D1 and tubulin antibodies by cutting the membrane. In figure 2H, cyclin D1 and CBP blots correspond to the same membrane while E2F4 and FOXM1 blots correspond to an independent membrane. Image acquisition was performed with ImageQuant LAS 4000 mini (GE Healthcare). Image processing and quantification were performed with Multi Gauge software (Fujifilm). For qRT-PCR analysis, cDNA was generated from 1 µg RNA with qScript cDNA Synthesis kit (Quantabio). qRT–PCR reaction was performed using SYBR green (Roche). -
Cell Architecture: Putting the Building Blocks Together
COCEBI-1090; NO. OF PAGES 3 Available online at www.sciencedirect.com Cell architecture: putting the building blocks together Editorial overview Anna Akhmanova and Tim Stearns Current Opinion in Cell Biology 2012, 25:xx–yy 0955-0674/$ – see front matter, # 2012 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.ceb.2012.12.003 Anna Akhmanova Cell Biology, Faculty of Science, Utrecht In considering cell architecture it is important to realize that for cells, as for University, Padualaan 8, 3584 CH Utrecht, buildings, the underpinning for the external shape is provided by a complex The Netherlands internal superstructure. And for cells, this cytoskeletal underpinning must e-mail: [email protected] be highly dynamic to effect the changes in morphology and organization associated with division, growth and differentiation. Cytoskeletal elements Anna Akhmanova is Professor of Cell Biology at Utrecht University, the Netherlands, and a were some of the first components of intracellular structure described by member of EMBO. Her lab uses cell early microscopists in the late 19th century, but it was not until a century biological approaches, in vitro reconstitutions later that the remarkable complexity of the cytoskeleton, in both compo- and high-resolution microscopy to study sition and behavior, has been revealed. Advances in genomics and proteo- molecular mechanisms of microtubule mics have provided us with near-comprehensive lists of the molecular dynamics and vesicle trafficking and their players associated with the various cytoskeletal systems. The challenge contribution to mammalian development and human disease. now is to understand how these components work together, and this is one of the central themes of this issue of Current Opinion in Cell Biology. -
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AURKA, DLGAP5, TPX2, KIF11 and CKAP5: Five Specific Mitosis-Associated Genes Correlate with Poor Prognosis for Non-Small Cell Lung Cancer Patients
INTERNATIONAL JOURNAL OF ONCOLOGY 50: 365-372, 2017 AURKA, DLGAP5, TPX2, KIF11 and CKAP5: Five specific mitosis-associated genes correlate with poor prognosis for non-small cell lung cancer patients MARC A. SCHNEIDER1,8, PETROS CHristopoulos2,8, THOMAS MULEY1,8, ARNE WartH5,8, URSULA KLINGMUELLER6,8,9, MICHAEL THOMAS2,8, FELIX J.F. HertH3,8, HENDRIK DIENEMANN4,8, NIKOLA S. MUELLER7,9, FABIAN THEIS7,9 and MICHAEL MEISTER1,8,9 1Translational Research Unit, 2Department of Thoracic Oncology, 3Department of Pneumology and Critical Care Medicine, and 4Department of Surgery, Thoraxklinik at University Hospital Heidelberg, Heidelberg; 5Institute of Pathology, University of Heidelberg, Heidelberg; 6Systems Biology of Signal Transduction, German Cancer Research Center, Heidelberg; 7Cellular Dynamics and Cell Patterning, Max Planck Institute of Biochemistry, Martinsried; 8Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL) Heidelberg; 9CancerSys network ‘LungSysII’, Heidelberg, Germany Received October 26, 2016; Accepted December 5, 2016 DOI: 10.3892/ijo.2017.3834 Abstract. The growth of a tumor depends to a certain extent genes AURKA, DLGAP5, TPX2, KIF11 and CKAP5 is asso- on an increase in mitotic events. Key steps during mitosis are ciated with the prognosis of NSCLC patients. the regulated assembly of the spindle apparatus and the sepa- ration of the sister chromatids. The microtubule-associated Introduction protein Aurora kinase A phosphorylates DLGAP5 in order to correctly segregate the chromatids. Its activity and recruitment Lung cancer is globally the leading cause of cancer-related to the spindle apparatus is regulated by TPX2. KIF11 and deaths (1). Non-small cell lung cancer (NSCLC), which accounts CKAP5 control the correct arrangement of the microtubules for more than 80% of all cases, is divided in adenocarcinoma and prevent their degradation. -
Downloaded the “Top Edge” Version
bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 1 Drosophila models of pathogenic copy-number variant genes show global and 2 non-neuronal defects during development 3 Short title: Non-neuronal defects of fly homologs of CNV genes 4 Tanzeen Yusuff1,4, Matthew Jensen1,4, Sneha Yennawar1,4, Lucilla Pizzo1, Siddharth 5 Karthikeyan1, Dagny J. Gould1, Avik Sarker1, Yurika Matsui1,2, Janani Iyer1, Zhi-Chun Lai1,2, 6 and Santhosh Girirajan1,3* 7 8 1. Department of Biochemistry and Molecular Biology, Pennsylvania State University, 9 University Park, PA 16802 10 2. Department of Biology, Pennsylvania State University, University Park, PA 16802 11 3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802 12 4 contributed equally to work 13 14 *Correspondence: 15 Santhosh Girirajan, MBBS, PhD 16 205A Life Sciences Building 17 Pennsylvania State University 18 University Park, PA 16802 19 E-mail: [email protected] 20 Phone: 814-865-0674 21 1 bioRxiv preprint doi: https://doi.org/10.1101/855338; this version posted December 6, 2019. 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 4.0 International license. 22 ABSTRACT 23 While rare pathogenic copy-number variants (CNVs) are associated with both neuronal and non- 24 neuronal phenotypes, functional studies evaluating these regions have focused on the molecular 25 basis of neuronal defects. -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
An Unconventional Interaction Between Dis1/TOG and Mal3/EB1 in Fission Yeast Promotes the Fidelity of Chromosome Segregation Yuzy Matsuo1,2, Sebastian P
© 2016. Published by The Company of Biologists Ltd | Journal of Cell Science (2016) 129, 4592-4606 doi:10.1242/jcs.197533 RESEARCH ARTICLE An unconventional interaction between Dis1/TOG and Mal3/EB1 in fission yeast promotes the fidelity of chromosome segregation Yuzy Matsuo1,2, Sebastian P. Maurer1,3,4, Masashi Yukawa5, Silva Zakian6, Martin R. Singleton6, Thomas Surrey1,* and Takashi Toda2,5,* ABSTRACT (Mitchison and Kirschner, 1984). Such dynamic properties of Dynamic microtubule plus-ends interact with various intracellular MTs play an essential role in many cellular processes including target regions such as the cell cortex and the kinetochore. Two intracellular transport, cell polarity and cell division (Desai and conserved families of microtubule plus-end-tracking proteins, the Mitchison, 1997). MT dynamics are regulated by a cohort of XMAP215, ch-TOG or CKAP5 family and the end-binding 1 (EB1, evolutionarily conserved MT-associated proteins (MAPs) also known as MAPRE1) family, play pivotal roles in regulating (Akhmanova and Steinmetz, 2008). A subclass of MAPs, MT microtubule dynamics. Here, we study the functional interplay plus-end-tracking proteins (+TIPs) have unique properties, as they between fission yeast Dis1, a member of the XMAP215/TOG can specifically interact with the dynamic ends of MTs, thereby family, and Mal3, an EB1 protein. Using an in vitro microscopy playing a decisive role in determining the characteristics of MT assay, we find that purified Dis1 autonomously tracks growing plus-ends in cells (Buey et al., 2012; Duellberg et al., 2013). In microtubule ends and is a bona fide microtubule polymerase. Mal3 particular, end-binding 1 (EB1, also known as MAPRE1) and Xenopus Homo recruits additional Dis1 to microtubule ends, explaining the ch-TOG [known as XMAP215 ( ) and CKAP5 ( sapiens synergistic enhancement of microtubule dynamicity by these ); hereafter denoted TOG] are important +TIPs because they proteins. -
Mutational Mechanisms That Activate Wnt Signaling and Predict Outcomes in Colorectal Cancer Patients William Hankey1, Michael A
Published OnlineFirst December 6, 2017; DOI: 10.1158/0008-5472.CAN-17-1357 Cancer Genome and Epigenome Research Mutational Mechanisms That Activate Wnt Signaling and Predict Outcomes in Colorectal Cancer Patients William Hankey1, Michael A. McIlhatton1, Kenechi Ebede2, Brian Kennedy3, Baris Hancioglu3, Jie Zhang4, Guy N. Brock3, Kun Huang4, and Joanna Groden1 Abstract APC biallelic loss-of-function mutations are the most prevalent also exhibiting unique changes in pathways related to prolifera- genetic changes in colorectal tumors, but it is unknown whether tion, cytoskeletal organization, and apoptosis. Apc-mutant ade- these mutations phenocopy gain-of-function mutations in the nomas were characterized by increased expression of the glial CTNNB1 gene encoding b-catenin that also activate canonical nexin Serpine2, the human ortholog, which was increased in WNT signaling. Here we demonstrate that these two mutational advanced human colorectal tumors. Our results support the mechanisms are not equivalent. Furthermore, we show how hypothesis that APC-mutant colorectal tumors are transcription- differences in gene expression produced by these different ally distinct from APC-wild-type colorectal tumors with canonical mechanisms can stratify outcomes in more advanced human WNT signaling activated by other mechanisms, with possible colorectal cancers. Gene expression profiling in Apc-mutant and implications for stratification and prognosis. Ctnnb1-mutant mouse colon adenomas identified candidate Significance: These findings suggest that colon adenomas genes for subsequent evaluation of human TCGA (The Cancer driven by APC mutations are distinct from those driven by WNT Genome Atlas) data for colorectal cancer outcomes. Transcrip- gain-of-function mutations, with implications for identifying tional patterns exhibited evidence of activated canonical Wnt at-risk patients with advanced disease based on gene expression signaling in both types of adenomas, with Apc-mutant adenomas patterns.