KIF5C, a Novel Neuronal Kinesin Enriched in Motor Neurons
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Supplemental Material Table of Contents
Supplemental material Table of Contents Detailed Materials and Methods ......................................................................................................... 2 Perioperative period ........................................................................................................................... 2 Ethical aspects ................................................................................................................................... 4 Evaluation of heart failure ................................................................................................................. 4 Sample preparation for ANP mRNA expression .................................................................................. 5 Sample preparation for validative qRT-PCR (Postn, Myh7, Gpx3, Tgm2) ............................................ 6 Tissue fibrosis .................................................................................................................................... 7 Ventricular remodeling and histological tissue preservation ................................................................ 8 Evaluation of the histological preservation of cardiac tissue ................................................................ 9 Sample preparation and quantitative label-free proteomics analyses .................................................. 10 Statistical methods ........................................................................................................................... 12 References ........................................................................................................................................ -
Genome-Wide Analyses Identify KIF5A As a Novel ALS Gene
This is a repository copy of Genome-wide Analyses Identify KIF5A as a Novel ALS Gene.. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/129590/ Version: Accepted Version Article: Nicolas, A, Kenna, KP, Renton, AE et al. (210 more authors) (2018) Genome-wide Analyses Identify KIF5A as a Novel ALS Gene. Neuron, 97 (6). 1268-1283.e6. https://doi.org/10.1016/j.neuron.2018.02.027 Reuse This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs (CC BY-NC-ND) licence. This licence only allows you to download this work and share it with others as long as you credit the authors, but you can’t change the article in any way or use it commercially. More information and the full terms of the licence here: https://creativecommons.org/licenses/ Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Genome-wide Analyses Identify KIF5A as a Novel ALS Gene Aude Nicolas1,2, Kevin P. Kenna2,3, Alan E. Renton2,4,5, Nicola Ticozzi2,6,7, Faraz Faghri2,8,9, Ruth Chia1,2, Janice A. Dominov10, Brendan J. Kenna3, Mike A. Nalls8,11, Pamela Keagle3, Alberto M. Rivera1, Wouter van Rheenen12, Natalie A. Murphy1, Joke J.F.A. van Vugt13, Joshua T. Geiger14, Rick A. Van der Spek13, Hannah A. Pliner1, Shankaracharya3, Bradley N. -
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. -
Drp1 Overexpression Induces Desmin Disassembling and Drives Kinesin-1 Activation Promoting Mitochondrial Trafficking in Skeletal Muscle
Cell Death & Differentiation (2020) 27:2383–2401 https://doi.org/10.1038/s41418-020-0510-7 ARTICLE Drp1 overexpression induces desmin disassembling and drives kinesin-1 activation promoting mitochondrial trafficking in skeletal muscle 1 1 2 2 2 3 Matteo Giovarelli ● Silvia Zecchini ● Emanuele Martini ● Massimiliano Garrè ● Sara Barozzi ● Michela Ripolone ● 3 1 4 1 5 Laura Napoli ● Marco Coazzoli ● Chiara Vantaggiato ● Paulina Roux-Biejat ● Davide Cervia ● 1 1 2 1,4 6 Claudia Moscheni ● Cristiana Perrotta ● Dario Parazzoli ● Emilio Clementi ● Clara De Palma Received: 1 August 2019 / Revised: 13 December 2019 / Accepted: 23 January 2020 / Published online: 10 February 2020 © The Author(s) 2020. This article is published with open access Abstract Mitochondria change distribution across cells following a variety of pathophysiological stimuli. The mechanisms presiding over this redistribution are yet undefined. In a murine model overexpressing Drp1 specifically in skeletal muscle, we find marked mitochondria repositioning in muscle fibres and we demonstrate that Drp1 is involved in this process. Drp1 binds KLC1 and enhances microtubule-dependent transport of mitochondria. Drp1-KLC1 coupling triggers the displacement of KIF5B from 1234567890();,: 1234567890();,: kinesin-1 complex increasing its binding to microtubule tracks and mitochondrial transport. High levels of Drp1 exacerbate this mechanism leading to the repositioning of mitochondria closer to nuclei. The reduction of Drp1 levels decreases kinesin-1 activation and induces the partial recovery of mitochondrial distribution. Drp1 overexpression is also associated with higher cyclin-dependent kinase-1 (Cdk-1) activation that promotes the persistent phosphorylation of desmin at Ser-31 and its disassembling. Fission inhibition has a positive effect on desmin Ser-31 phosphorylation, regardless of Cdk-1 activation, suggesting that induction of both fission and Cdk-1 are required for desmin collapse. -
Profilin-1 Is Required for Survival of Adult Hematopoietic Stem Cells
Extended methods Immunohistochemistry HepG-2, SMMC-7721, and 293T cells were obtained from Cell Resource Center of Shanghai Institute for Biological Science, Chinese Academy Science, Shanghai, China. HUVEC cells were kindly provided by Prof. Ping-Jin Gao at Institute of Health Sciences (Shanghai, China). All these cell lines were cultured in DMEM with 10% FBS. MDA- MB-231 cell line was kindly provided by Prof. Ming-Yao Liu (East China Normal University, Shanghai, China) and was cultured in Leibovitz L-15 medium with 10% FBS. All these cell lines were originally purchased from ATCC. MDA-MB-231, SMMC-7721 or HepG2 cells were grown on coverslips in 24-well plates and fixed in either 4% paraformaldehyde or pre-chilled methanol (-20°C) for 10 min. In some cases, WT or VPS33B-null Lin-Sca-1+c-Kit+Flk2-CD34- LT-HSCs were collected by flow cytometry and fixed for immunofluorescence staining. Cells were then blocked with 3% BSA in PBS for 60 min followed by incubation with primary antibodies overnight. The antibodies used were anti-HA (Sigma), anti-Flag (Sigma), anti-VPS33B (Sigma), anti- VPS16B (Abcam), anti-GDI2 (Proteintech), anti-LAMP1 (Proteintech), anti-FLOT1 (Abways), anti-CD63 (Proteintech), anti-ANGPTL2 (R&D system), anti-ANGPTL3 (R&D system), anti-TPO (Abways), anti-GLUT1 (Proteintech), anti-LDHA (Proteintech), anti-PKM2 (CST), anti-RAB11A (Abways), anti-RAB27A (Abways) and anti-V5 (Biodragon). Fluorescent-conjugated secondary antibodies (Alexa Fluor® 488 or Alexa Fluor® 555) against mouse, rabbit, or goat were obtained from the Thermo Scientific Inc. The details for all the antibodies are listed in Table S3. -
RET Gene Fusions in Malignancies of the Thyroid and Other Tissues
G C A T T A C G G C A T genes Review RET Gene Fusions in Malignancies of the Thyroid and Other Tissues Massimo Santoro 1,*, Marialuisa Moccia 1, Giorgia Federico 1 and Francesca Carlomagno 1,2 1 Department of Molecular Medicine and Medical Biotechnology, University of Naples “Federico II”, 80131 Naples, Italy; [email protected] (M.M.); [email protected] (G.F.); [email protected] (F.C.) 2 Institute of Endocrinology and Experimental Oncology of the CNR, 80131 Naples, Italy * Correspondence: [email protected] Received: 10 March 2020; Accepted: 12 April 2020; Published: 15 April 2020 Abstract: Following the identification of the BCR-ABL1 (Breakpoint Cluster Region-ABelson murine Leukemia) fusion in chronic myelogenous leukemia, gene fusions generating chimeric oncoproteins have been recognized as common genomic structural variations in human malignancies. This is, in particular, a frequent mechanism in the oncogenic conversion of protein kinases. Gene fusion was the first mechanism identified for the oncogenic activation of the receptor tyrosine kinase RET (REarranged during Transfection), initially discovered in papillary thyroid carcinoma (PTC). More recently, the advent of highly sensitive massive parallel (next generation sequencing, NGS) sequencing of tumor DNA or cell-free (cfDNA) circulating tumor DNA, allowed for the detection of RET fusions in many other solid and hematopoietic malignancies. This review summarizes the role of RET fusions in the pathogenesis of human cancer. Keywords: kinase; tyrosine kinase inhibitor; targeted therapy; thyroid cancer 1. The RET Receptor RET (REarranged during Transfection) was initially isolated as a rearranged oncoprotein upon the transfection of a human lymphoma DNA [1]. -
Actin Nucleator Spire 1 Is a Regulator of Ectoplasmic Specialization in the Testis Qing Wen1,Nanli1,Xiangxiao 1,2,Wing-Yeelui3, Darren S
Wen et al. Cell Death and Disease (2018) 9:208 DOI 10.1038/s41419-017-0201-6 Cell Death & Disease ARTICLE Open Access Actin nucleator Spire 1 is a regulator of ectoplasmic specialization in the testis Qing Wen1,NanLi1,XiangXiao 1,2,Wing-yeeLui3, Darren S. Chu1, Chris K. C. Wong4, Qingquan Lian5,RenshanGe5, Will M. Lee3, Bruno Silvestrini6 and C. Yan Cheng 1 Abstract Germ cell differentiation during the epithelial cycle of spermatogenesis is accompanied by extensive remodeling at the Sertoli cell–cell and Sertoli cell–spermatid interface to accommodate the transport of preleptotene spermatocytes and developing spermatids across the blood–testis barrier (BTB) and the adluminal compartment of the seminiferous epithelium, respectively. The unique cell junction in the testis is the actin-rich ectoplasmic specialization (ES) designated basal ES at the Sertoli cell–cell interface, and the apical ES at the Sertoli–spermatid interface. Since ES dynamics (i.e., disassembly, reassembly and stabilization) are supported by actin microfilaments, which rapidly converts between their bundled and unbundled/branched configuration to confer plasticity to the ES, it is logical to speculate that actin nucleation proteins play a crucial role to ES dynamics. Herein, we reported findings that Spire 1, an actin nucleator known to polymerize actins into long stretches of linear microfilaments in cells, is an important regulator of ES dynamics. Its knockdown by RNAi in Sertoli cells cultured in vitro was found to impede the Sertoli cell tight junction (TJ)-permeability barrier through changes in the organization of F-actin across Sertoli cell cytosol. Unexpectedly, Spire 1 knockdown also perturbed microtubule (MT) organization in Sertoli cells cultured in vitro. -
RET Aberrations in Diverse Cancers: Next-Generation Sequencing of 4,871 Patients Shumei Kato1, Vivek Subbiah2, Erica Marchlik3, Sheryl K
Published OnlineFirst September 28, 2016; DOI: 10.1158/1078-0432.CCR-16-1679 Personalized Medicine and Imaging Clinical Cancer Research RET Aberrations in Diverse Cancers: Next-Generation Sequencing of 4,871 Patients Shumei Kato1, Vivek Subbiah2, Erica Marchlik3, Sheryl K. Elkin3, Jennifer L. Carter3, and Razelle Kurzrock1 Abstract Purpose: Aberrations in genetic sequences encoding the tyrosine (52/88)], cell cycle–associated genes [39.8% (35/88)], the PI3K kinase receptor RET lead to oncogenic signaling that is targetable signaling pathway [30.7% (27/88)], MAPK effectors [22.7% with anti-RET multikinase inhibitors. Understanding the compre- (20/88)], or other tyrosine kinase families [21.6% (19/88)]. hensive genomic landscape of RET aberrations across multiple RET fusions were mutually exclusive with MAPK signaling cancers may facilitate clinical trial development targeting RET. pathway alterations. All 72 patients harboring coaberrations Experimental Design: We interrogated the molecular portfolio had distinct genomic portfolios, and most [98.6% (71/72)] of 4,871 patients with diverse malignancies for the presence of had potentially targetable coaberrations with either an FDA- RET aberrations using Clinical Laboratory Improvement Amend- approved or an investigational agent. Two cases with lung ments–certified targeted next-generation sequencing of 182 or (KIF5B-RET) and medullary thyroid carcinoma (RET M918T) 236 gene panels. thatrespondedtoavandetanib(multikinase RET inhibitor)- Results: Among diverse cancers, RET aberrations were iden- containing regimen are shown. tified in 88 cases [1.8% (88/4, 871)], with mutations being Conclusions: RET aberrations were seen in 1.8% of diverse the most common alteration [38.6% (34/88)], followed cancers, with most cases harboring actionable, albeit dis- by fusions [30.7% (27/88), including a novel SQSTM1-RET] tinct, coexisting alterations. -
Applying Expression Profile Similarity for Discovery of Patient-Specific
bioRxiv preprint doi: https://doi.org/10.1101/172015; this version posted September 17, 2017. 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. Applying expression profile similarity for discovery of patient-specific functional mutations Guofeng Meng Partner Institute of Computational Biology, Yueyang 333, Shanghai, China email: [email protected] Abstract The progress of cancer genome sequencing projects yields unprecedented information of mutations for numerous patients. However, the complexity of mutation profiles of patients hinders the further understanding of mechanisms of oncogenesis. One basic question is how to uncover mutations with functional impacts. In this work, we introduce a computational method to predict functional somatic mutations for each of patient by integrating mutation recurrence with similarity of expression profiles of patients. With this method, the functional mutations are determined by checking the mutation enrichment among a group of patients with similar expression profiles. We applied this method to three cancer types and identified the functional mutations. Comparison of the predictions for three cancer types suggested that most of the functional mutations were cancer-type-specific with one exception to p53. By checking prediction results, we found that our method effectively filtered non-functional mutations resulting from large protein sizes. In addition, this methods can also perform functional annotation to each patient to describe their association with signalling pathways or biological processes. In breast cancer, we predicted "cell adhesion" and other mutated gene associated terms to be significantly enriched among patients. -
Cldn19 Clic2 Clmp Cln3
NewbornDx™ Advanced Sequencing Evaluation When time to diagnosis matters, the NewbornDx™ Advanced Sequencing Evaluation from Athena Diagnostics delivers rapid, 5- to 7-day results on a targeted 1,722-genes. A2ML1 ALAD ATM CAV1 CLDN19 CTNS DOCK7 ETFB FOXC2 GLUL HOXC13 JAK3 AAAS ALAS2 ATP1A2 CBL CLIC2 CTRC DOCK8 ETFDH FOXE1 GLYCTK HOXD13 JUP AARS2 ALDH18A1 ATP1A3 CBS CLMP CTSA DOK7 ETHE1 FOXE3 GM2A HPD KANK1 AASS ALDH1A2 ATP2B3 CC2D2A CLN3 CTSD DOLK EVC FOXF1 GMPPA HPGD K ANSL1 ABAT ALDH3A2 ATP5A1 CCDC103 CLN5 CTSK DPAGT1 EVC2 FOXG1 GMPPB HPRT1 KAT6B ABCA12 ALDH4A1 ATP5E CCDC114 CLN6 CUBN DPM1 EXOC4 FOXH1 GNA11 HPSE2 KCNA2 ABCA3 ALDH5A1 ATP6AP2 CCDC151 CLN8 CUL4B DPM2 EXOSC3 FOXI1 GNAI3 HRAS KCNB1 ABCA4 ALDH7A1 ATP6V0A2 CCDC22 CLP1 CUL7 DPM3 EXPH5 FOXL2 GNAO1 HSD17B10 KCND2 ABCB11 ALDOA ATP6V1B1 CCDC39 CLPB CXCR4 DPP6 EYA1 FOXP1 GNAS HSD17B4 KCNE1 ABCB4 ALDOB ATP7A CCDC40 CLPP CYB5R3 DPYD EZH2 FOXP2 GNE HSD3B2 KCNE2 ABCB6 ALG1 ATP8A2 CCDC65 CNNM2 CYC1 DPYS F10 FOXP3 GNMT HSD3B7 KCNH2 ABCB7 ALG11 ATP8B1 CCDC78 CNTN1 CYP11B1 DRC1 F11 FOXRED1 GNPAT HSPD1 KCNH5 ABCC2 ALG12 ATPAF2 CCDC8 CNTNAP1 CYP11B2 DSC2 F13A1 FRAS1 GNPTAB HSPG2 KCNJ10 ABCC8 ALG13 ATR CCDC88C CNTNAP2 CYP17A1 DSG1 F13B FREM1 GNPTG HUWE1 KCNJ11 ABCC9 ALG14 ATRX CCND2 COA5 CYP1B1 DSP F2 FREM2 GNS HYDIN KCNJ13 ABCD3 ALG2 AUH CCNO COG1 CYP24A1 DST F5 FRMD7 GORAB HYLS1 KCNJ2 ABCD4 ALG3 B3GALNT2 CCS COG4 CYP26C1 DSTYK F7 FTCD GP1BA IBA57 KCNJ5 ABHD5 ALG6 B3GAT3 CCT5 COG5 CYP27A1 DTNA F8 FTO GP1BB ICK KCNJ8 ACAD8 ALG8 B3GLCT CD151 COG6 CYP27B1 DUOX2 F9 FUCA1 GP6 ICOS KCNK3 ACAD9 ALG9 -
Mitochondria Are Transported Along Microtubules in Membrane
Shen et al. Cell Death and Disease (2018) 9:81 DOI 10.1038/s41419-017-0145-x Cell Death & Disease ARTICLE Open Access Mitochondria are transported along microtubules in membrane nanotubes to rescue distressed cardiomyocytes from apoptosis Jing Shen1,2,3,4, Jiang-Hui Zhang1,2,3,4,HanXiao1,2,3,4,Ji-MinWu1,2,3,4,Kang-MinHe1,2,3,4,Zhi-ZhenLv1,2,3,4, Zi-Jian Li1,2,3,4, Ming Xu1,2,3,4 and You-Yi Zhang1,2,3,4 Abstract Membrane nanotubes (MNTs) act as “highways” between cells to facilitate the transfer of multiple signals and play an important role in many diseases. Our previous work reported on the transfer of mitochondria via MNTs between cardiomyocytes (CMs) and cardiac myofibroblasts (MFs); however, the elucidation of the underlying mechanism and pathophysiological significance of this transfer requires additional study. In this study, we determined that the mean movement velocity of mitochondria in MNTs between CMs and MFs was approximately 17.5 ± 2.1 nm/s. Meanwhile, treatment with microtubule polymerisation inhibitors nocodazole or colcemid in cell culture decreased mitochondrial velocity, and knockdown of the microtubule motor protein kinesin family member 5B (KIF5B) led to a similar effect, indicating that mitochondrial movement was dependent on microtubules and the motor protein KIF5B. Furthermore, we showed that hypoxia/reoxygenation-induced CM 1234567890 1234567890 apoptosis was attenuated by coculture with intact or hypoxia/reoxygenation-treated MFs, which transferred mitochondria to CMs. This rescue was prevented either by separating the cells using Transwell culture or by impairing mitochondrial transfer with nocodazole or colcemid treatment. -
Involvement of the Kinesin Family Members KIF4A and KIF5C In
Downloaded from http://jmg.bmj.com/ on March 10, 2015 - Published by group.bmj.com Cognitive and behavioural genetics ORIGINAL ARTICLE Involvement of the kinesin family members KIF4A and KIF5C in intellectual disability and synaptic Editor’s choice Scan to access more free content function Marjolein H Willemsen,1,2 Wei Ba,1,3,4 Willemijn M Wissink-Lindhout,1 Arjan P M de Brouwer,1,2 Stefan A Haas,5 Melanie Bienek,6 Hao Hu,6 Lisenka E L M Vissers,1,2 Hans van Bokhoven,1,2,3,4 Vera Kalscheuer,6 Nael Nadif Kasri,1,2,3,4 Tjitske Kleefstra1,2 For numbered affiliations see ABSTRACT genes in the development and functioning of the end of article. Introduction Kinesin superfamily (KIF) genes encode nervous system. Mice with homozygous knockout Kif1a 1b 2a 3a 3b 4a 5a 5b Correspondence to motor proteins that have fundamental roles in brain mutations in , , , , , , and Dr Nael Nadif Kasri, functioning, development, survival and plasticity by show various neurological phenotypes including Department of Cognitive regulating the transport of cargo along microtubules structural brain anomalies, decreased brain size, Neuroscience, Radboud within axons, dendrites and synapses. Mouse knockout loss of neurons, reduced rate of neuronal apoptosis university medical center, studies support these important functions in the nervous and perinatal lethality due to neurological pro- Nijmegen, The Netherlands; 4–12 Nael.NadifKasri@radboudumc. system. The role of KIF genes in intellectual disability (ID) blems. The embryonic lethality of knockout nl; has so far received limited attention, although previous mice for Kif2a, Kif3a and 3b, and Kif5b suggest Dr Tjitske Kleefstra, studies have suggested that many ID genes impinge on that these Kif genes have an important function in Department of Human synaptic function.