The Activity of KIF14, Mieap, and EZR in a New Type of the Invasive Component, Torpedo-Like Structures, Predetermines the Metastatic Potential of Breast Cancer
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Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Molecular Genetics of Microcephaly Primary Hereditary: an Overview
brain sciences Review Molecular Genetics of Microcephaly Primary Hereditary: An Overview Nikistratos Siskos † , Electra Stylianopoulou †, Georgios Skavdis and Maria E. Grigoriou * Department of Molecular Biology & Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece; [email protected] (N.S.); [email protected] (E.S.); [email protected] (G.S.) * Correspondence: [email protected] † Equal contribution. Abstract: MicroCephaly Primary Hereditary (MCPH) is a rare congenital neurodevelopmental disorder characterized by a significant reduction of the occipitofrontal head circumference and mild to moderate mental disability. Patients have small brains, though with overall normal architecture; therefore, studying MCPH can reveal not only the pathological mechanisms leading to this condition, but also the mechanisms operating during normal development. MCPH is genetically heterogeneous, with 27 genes listed so far in the Online Mendelian Inheritance in Man (OMIM) database. In this review, we discuss the role of MCPH proteins and delineate the molecular mechanisms and common pathways in which they participate. Keywords: microcephaly; MCPH; MCPH1–MCPH27; molecular genetics; cell cycle 1. Introduction Citation: Siskos, N.; Stylianopoulou, Microcephaly, from the Greek word µικρoκεϕαλi´α (mikrokephalia), meaning small E.; Skavdis, G.; Grigoriou, M.E. head, is a term used to describe a cranium with reduction of the occipitofrontal head circum- Molecular Genetics of Microcephaly ference equal, or more that teo standard deviations -
Kif1b Interacts with KBP to Promote Axon Elongation by Localizing a Microtubule Regulator to Growth Cones
7014 • The Journal of Neuroscience, June 29, 2016 • 36(26):7014–7026 Development/Plasticity/Repair Kif1B Interacts with KBP to Promote Axon Elongation by Localizing a Microtubule Regulator to Growth Cones Catherine M. Drerup, XSarah Lusk, and Alex Nechiporuk Department of Cell, Developmental, & Cancer Biology, Oregon Health & Science University, Portland, Oregon 97239 Delivery of proteins and organelles to the growth cone during axon extension relies on anterograde transport by kinesin motors. Though critical for neural circuit development, the mechanisms of cargo-specific anterograde transport during axon extension are only starting to be explored. Cargos of particular importance for axon outgrowth are microtubule modifiers, such as SCG10 (Stathmin-2). SCG10 is expressed solely during axon extension, localized to growth cones, and essential for axon outgrowth; however, the mechanisms of SCG10 transport and activity were still debated. Using zebrafish mutants and in vivo imaging, we identified the Kif1B motor and its interactor Kif1 binding protein (KBP) as critical for SCG10 transport to axon growth cones and complete axon extension. Axon truncation in kbpst23 mutants can be suppressed by SCG10 overexpression, confirming the direct relationship between decreased SCG10 levels and failed axon outgrowth. Live imaging revealed that the reduced levels of SCG10 in kbpst23 mutant growth cones led to altered microtubule stability, defining the mechanistic basis of axon truncation. Thus, our data reveal a novel role for the Kif1B-KBP complex in the anterograde transport of SCG10, which is necessary for proper microtubule dynamics and subsequent axon extension. Key words: axon extension; KBP; KIF1B; SCG10; stathmin Significance Statement Together, our data define the mechanistic underpinnings of failed axon outgrowth with loss of KBP or its associated motor, Kif1B. -
The Kinesin Superfamily Handbook Transporter, Creator, Destroyer
The Kinesin Superfamily Handbook Transporter, Creator, Destroyer Edited by Claire T. Friel First edition published 2020 ISBN: 978-1-138-58956-8 (hbk) ISBN: 978-0-429-49155-9 (ebk) 4 The Kinesin-3 Family Long-Distance Transporters Nida Siddiqui and Anne Straube CC BY-NC-ND 4.0 The Kinesin Superfamily Handbook The Kinesin-3 Family 4 Long-Distance Transporters Nida Siddiqui and Anne Straube CONTENTS 4.1 Example Family Members .............................................................................. 41 4.2 Structural Information .................................................................................... 41 4.3 Functional Properties ...................................................................................... 43 4.3.1 Autoinhibition of Kinesin-3 Motors and Their Activation .................45 4.4 Physiological Roles .........................................................................................46 4.4.1 Preference for Subsets of Microtubule Tracks .................................... 47 4.5 Involvement in Disease ...................................................................................48 Acknowledgements ..................................................................................................49 References ................................................................................................................49 The Kinesin-3s are a family of cargo transporters. They typically display highly processive plus-end-directed motion, either as dimers or in teams, formed via interaction with -
Microtubule-Associated Proteins As Targets in Cancer Chemotherapy Kumar M.R
Review Microtubule-Associated Proteins as Targets in Cancer Chemotherapy Kumar M.R. Bhat andVijayasaradhi Setaluri Abstract Natural and synthetic compounds that disrupt microtubule dynamics are among the most successful and widely used cancer chemotherapeutic agents. However,lack of reliable markers that predict sensitivity of cancers to these agents and development of resistance remain vexing issues. There is accumulating evidence that a family of cellular proteins that are associated with and alter the dynamics of microtubules can determine sensitivity of cancer cells to microtubule- targeting agents and play a role in tumor cell resistance to these agents. This growing family of microtubule-associated proteins (MAP) includes products of oncogenes,tumor suppressors, and apoptosis regulators,suggesting that alteration of microtubule dynamics may be one of the critical events in tumorigenesis and tumor progression. The objective of this review is to integrate the knowledge on these seemingly unrelated proteins that share a common function and examine their relevance to microtubule-targeting therapies and highlight MAPs-tubulin-drug interactions as a novel avenue for new drug discovery. Based on the available evidence,we propose that rational microtubule-targeting cancer therapeutic approaches should ideally include proteomic profiling of tumor MAPs before administration of microtubule-stabilizing/destabilizing agents preferentially in combination with agents that modulate the expression of relevant MAPs. Dynamic instability is an essential -
Supplementary Data
Supplementary Appendix Table of contents: Genes selected for real-time quantitative reverse transcriptase PCR………2 Table 1s: Microarrays results for genes selected for RQ-PCR…………….……...5 Table 2s: Gene list of TaqMan expression assays ……………………………...…6 Figure 1s: An example for a RQ-PCR matrix plate……………………………...….7 Figure 2s: Distribution of quantitative real time RT-PCR values before and after normalization for the various gene…………………………………………………….8 Table 3s: Distribution of means of quantitative real time RT-PCR values for the various genes………………………………………………………….………………….9 Table 4s: Summary of the ranks in Multivariate Cox Regression analysis of quantitative real time RT-PCR results (1- low, 2- medium, 3- high).....……………...………..………………………………………………………….9 Figure 3s: Microarrays results verification. Immunostaning with anti-CDH2.….10 Reference......……………...………..…………………………………...……………11 Genes selected for real-time quantitative reverse transcriptase PCR (RQ- PCR) We hypothesized that increased expression of certain genes in primary NSCLC could identify patients at high risk for the development of brain metastasis. The selection of genes for the RQ-PCR studies was based on results from our exploratory microarray gene expression profiling (GEP) studies (table 1s) [1, 2] and published data linking the expression of these genes either to metastasis (there was no published data on brain metastasis) or to survival in lung cancers or other non- hematological cancers. We focused on genes whose expression was higher either in primary NSCLC with brain metastasis and/or in brain metastasis compared with primary NSCLC. Our microarray study included 26 primary NSCLC (6 metastasized to the brain), 8 normal lungs, 7 brain metastases (not from the same primary NSCLC included in the arrays), and one pooled RNA from normal brain. -
KIF14 Is a Candidate Oncogene in the 1Q Minimal Region of Genomic Gain in Multiple Cancers
Oncogene (2005) 24, 4741–4753 & 2005 Nature Publishing Group All rights reserved 0950-9232/05 $30.00 www.nature.com/onc ORIGINAL PAPERS KIF14 is a candidate oncogene in the 1q minimal region of genomic gain in multiple cancers Timothy W Corson1,2, Annie Huang3, Ming-Sound Tsao4,5,6 and Brenda L Gallie*,1,2,5,7 1Division of Cancer Informatics, Ontario Cancer Institute/Princess Margaret Hospital, University Health Network, Toronto, ON, Canada M5G 2M9; 2Department of Molecular & Medical Genetics, University of Toronto, Toronto, ON, Canada M5S 1A8; 3Labatt Brain Tumour Research Centre, Cancer Research Program, Hospital for Sick Children, Toronto, ON, Canada M5G 1X8; 4Division of Cellular & Molecular Biology, Ontario Cancer Institute/Princess Margaret Hospital, University Health Network, Toronto, ON, Canada M5G 2M9; 5Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada M5G 2M9; 6Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada M5G 1L5; 7Department of Ophthalmology, University of Toronto, Toronto, ON, Canada M5G 1X5 Gain of chromosome 1q31–1q32is seen in >50% of in retinoblastoma development is the loss of function of retinoblastoma and is common in other tumors. To define both alleles of the prototypic tumor suppressor gene, the minimal 1q region of gain, we determined genomic RB1, which encodes a key cell-cycle negative regulatory copy number by quantitative multiplex PCR of 14 transcription factor, pRB (Classon and Harlow, 2002). sequence tagged sites (STSs) spanning 1q25.3–1q41. The These initiating ‘M1’ and ‘M2’ mutations of Knudson’s most frequently gained STS at 1q32.1 (71%; 39 of 55 classic two-hit model for oncogenesis (Knudson, 1971) retinoblastoma) defined a 3.06 Mbp minimal region of are necessary for retinoblastoma initiation, but not gain between flanking markers, containing 14 genes. -
Gene List of the Targeted NGS MCD and CCA Gene Panel AKT3,ALX1
Gene List of the targeted NGS MCD and CCA gene panel AKT3,ALX1,ALX3,ALX4,AMPD2,ARFGEF2,ARID1B,ARX,ASPM,ATR,ATRX,B3GALTL,BRPF1,c12orf57,C6orf70,CASK,CCND2,CDK5RAP2,CDON,C ENPJ,CEP170,CHMP1A,COL4A1,CREBBP,CYP11A1,DCHS1,DCLK1,DCX,DHCR24,DHCR7,DIS3L2,DISC1,DISP1,DLL1,DMRTA2,DYNC1H1,DYRK1 A,EARS2,EFNB1,EMX1,EOMES,EP300,ERBB4,ERMARD,EXOSC3,FAM36A,FGF8,FGFR1,FGFR2,FLNA,FOXC1,FOXG1,FOXH1,FZD10,GLI2,GLI3,GP R56,GPSM2,HCCS,HESX1,HNRNPU,IGBP1,IGFBP1,ISPD,ITPA,KAL1,KAT6B,KATNB1,KIAA1279,KIF14,KIF1A,KIF1B,KIF21A,KIF2A,KIF5C,KIF7,L1 CAM,LAMB1,LAMC3,LRP2,MCPH1,MED12,MID1,NDE1,NFIB,NPC1,NR2F1,NSD1,NTRK1,NTRK3,OCEL1,OPA1,OTX2,PAFAH1B1,PAX6,PEX1,PHF1 0,PIK3R2,POLR3A,POLR3B,POMT1,POMT2,PTCH1,PTPRS,PYCR1,RAB3GAP1,RARS2,RELN,RFX3,ROBO1,ROBO3,RPS6KA3,RTTN,SATB2,SEPSEC S,SHH,SIX3,SLC12A6,SOX2,SPOCK1,SRPX2,TBCD,TBCE,TCF4,TDGF1,TEAD1,THBS2,TMEM5,TSC1,TSC2,TSEN15,TSEN2,TSEN34,TSEN54,TUBA1 A,TUBA8,TUBB,TUBB2A,TUBB2B,TUBB3,TUBB4A,TUBG1,VAX1,VRK1,WDR47,WDR62,ZBTB18,ZEB2,ZIC2. Gene List of the targeted NGS epilepsy gene panel AARS, ADGRV1, ADRA2B, ADSL, ALDH4A1, ALDH7A1, ALG13, ALPL, ARHGEF15, ARHGEF9, ARX, ASAH1, ATP1A2, ATP1A3, BRD2, CACNA1A, CACNA1H, CACNA2D2, CACNB4, CBL, CDKL5, CERS1, CHD2, CHRNA2, CHRNA4, CHRNB2, CLCN2, CLCN4, CLN8, CLTC, CNKSR2, CNTNAP2, CPA6, CPLX1, CSNK1G1, CSNK2B, CTNND2, DEPDC5, DHDDS, DNM1, DOCK7, DYNC1H1, EEF1A2, EFHC1, EIF2S3, EMC1, EPM2A, FASN, FLNA, FOXG1, GABBR2, GABRA1, GABRA2, GABRA3, GABRB2, GABRB3, GABRD, GABRG2, GAL, GNAO1, GOSR2, GRIA1, GRIN1, GRIN2A, GRIN2B, HCN1, HCN4, HDAC4, HNRNPU, IDH3A, IQSEC2, JRK, KCNA1, KCNA2, KCNB1, -
Supplemental Data Heidel Et Al
Supplemental data Heidel et al. Table of Contents 1. Sequencing strategy and statistics ...................................................................................................... 2 2. Genome structure ............................................................................................................................... 2 2.1 Extrachromosal elements .............................................................................................................. 2 2.2 Chromosome structure ................................................................................................................. 3 2.3 Repetitive elements ...................................................................................................................... 5 3. Coding sequences ................................................................................................................................ 5 3.1 Homopolymer tracts ..................................................................................................................... 5 3.2 Gene families and orthology relationships ................................................................................... 7 3.3 Synteny analysis .......................................................................................................................... 11 4. Protein functional domains ............................................................................................................... 12 5. Protein families ................................................................................................................................. -
Supervillin Binding to Myosin II and Synergism with Anillin Are Required for Cytokinesis
University of Massachusetts Medical School eScholarship@UMMS Luna Lab Publications Radiology 2013-12-01 Supervillin Binding to Myosin II and Synergism with Anillin Are Required for Cytokinesis Tara C. Smith University of Massachusetts Medical School Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/luna Part of the Cell Biology Commons Repository Citation Smith TC, Fridy PC, Li Y, Basil S, Arjun S, Friesen RM, Leszyk JD, Chait BT, Rout MP, Luna EJ. (2013). Supervillin Binding to Myosin II and Synergism with Anillin Are Required for Cytokinesis. Luna Lab Publications. https://doi.org/10.1091/mbc.E12-10-0714. Retrieved from https://escholarship.umassmed.edu/luna/9 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Luna Lab Publications by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. M BoC | ARTICLE Supervillin binding to myosin II and synergism with anillin are required for cytokinesis Tara C. Smitha, Peter C. Fridyb, Yinyin Lic, Shruti Basila,*, Sneha Arjuna,†, Ryan M. Friesena,‡, John Leszykd, Brian T. Chaitc, Michael P. Routb, and Elizabeth J. Lunaa aProgram in Cell and Developmental Dynamics, Department of Cell and Developmental Biology, University of Massachusetts Medical School, Worcester, MA 01655; bLaboratory of Cellular and Structural Biology and cLaboratory of Mass Spectrometry and Gaseous Ion Chemistry, Rockefeller University, New York, NY 10065; dProteomics and Mass Spectrometry Facility, University of Massachusetts Medical School, Shrewsbury, MA 01545 ABSTRACT Cytokinesis, the process by which cytoplasm is apportioned between dividing Monitoring Editor daughter cells, requires coordination of myosin II function, membrane trafficking, and central Yu-Li Wang spindle organization. -
Emerging Role of the Kinesin Family Member Genes in Birth Defects Silvia Kalantari ,1 Isabel Filges 1,2
Developmental defects J Med Genet: first published as 10.1136/jmedgenet-2019-106769 on 19 May 2020. Downloaded from REVIEW ‘Kinesinopathies’: emerging role of the kinesin family member genes in birth defects Silvia Kalantari ,1 Isabel Filges 1,2 ► Additional material is ABSTRact The first kinesins were observed in the context published online only. To view, Motor kinesins are a family of evolutionary conserved of axonal transport in neurons, and a novel disease please visit the journal online proteins involved in intracellular trafficking of various entity of ‘motor–proteinopathy’ was proposed for (http:// dx. doi. org/ 10. 1136/ 4 jmedgenet- 2019- 106769). cargoes, first described in the context of axonal transport. the pathogenesis of axonal neuropathies in 2001. They were discovered to have a key importance in cell- Due to their role in cellular membrane trafficking, 1 Medical Genetics, Institute cycle dynamics and progression, including chromosomal however, kinesins are essential for the functioning of Medical Genetics and condensation and alignment, spindle formation and of many polar cell types, such as neurons, epithelial Pathology, University Hospital Basel and University of Basel, cytokinesis, as well as ciliogenesis and cilia function. cells, sperm cells or stem cells during organogen- Basel, Switzerland Recent evidence suggests that impairment of kinesins is esis. Kinesins also play a fundamental role in cell- 2Department of Clinical associated with a variety of human diseases consistent cycle dynamics, both during mitotic -
Control of the Physical and Antimicrobial Skin Barrier by an IL-31–IL-1 Signaling Network
The Journal of Immunology Control of the Physical and Antimicrobial Skin Barrier by an IL-31–IL-1 Signaling Network Kai H. Ha¨nel,*,†,1,2 Carolina M. Pfaff,*,†,1 Christian Cornelissen,*,†,3 Philipp M. Amann,*,4 Yvonne Marquardt,* Katharina Czaja,* Arianna Kim,‡ Bernhard Luscher,€ †,5 and Jens M. Baron*,5 Atopic dermatitis, a chronic inflammatory skin disease with increasing prevalence, is closely associated with skin barrier defects. A cy- tokine related to disease severity and inhibition of keratinocyte differentiation is IL-31. To identify its molecular targets, IL-31–dependent gene expression was determined in three-dimensional organotypic skin models. IL-31–regulated genes are involved in the formation of an intact physical skin barrier. Many of these genes were poorly induced during differentiation as a consequence of IL-31 treatment, resulting in increased penetrability to allergens and irritants. Furthermore, studies employing cell-sorted skin equivalents in SCID/NOD mice demonstrated enhanced transepidermal water loss following s.c. administration of IL-31. We identified the IL-1 cytokine network as a downstream effector of IL-31 signaling. Anakinra, an IL-1R antagonist, blocked the IL-31 effects on skin differentiation. In addition to the effects on the physical barrier, IL-31 stimulated the expression of antimicrobial peptides, thereby inhibiting bacterial growth on the three-dimensional organotypic skin models. This was evident already at low doses of IL-31, insufficient to interfere with the physical barrier. Together, these findings demonstrate that IL-31 affects keratinocyte differentiation in multiple ways and that the IL-1 cytokine network is a major downstream effector of IL-31 signaling in deregulating the physical skin barrier.