Loss of SNAP29 Impairs Endocytic Recycling and Cell Motility
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Membrane Tension Buffering by Caveolae: a Role in Cancer?
Cancer and Metastasis Reviews (2020) 39:505–517 https://doi.org/10.1007/s10555-020-09899-2 Membrane tension buffering by caveolae: a role in cancer? Vibha Singh1 & Christophe Lamaze1 Published online: 30 May 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020 Abstract Caveolae are bulb-like invaginations made up of two essential structural proteins, caveolin-1 and cavins, which are abundantly present at the plasma membrane of vertebrate cells. Since their discovery more than 60 years ago, the function of caveolae has been mired in controversy. The last decade has seen the characterization of new caveolae components and regulators together with the discovery of additional cellular functions that have shed new light on these enigmatic structures. Early on, caveolae and/ or caveolin-1 have been involved in the regulation of several parameters associated with cancer progression such as cell migration, metastasis, angiogenesis, or cell growth. These studies have revealed that caveolin-1 and more recently cavin-1 have a dual role with either a negative or a positive effect on most of these parameters. The recent discovery that caveolae can act as mechanosensors has sparked an array of new studies that have addressed the mechanobiology of caveolae in various cellular functions. This review summarizes the current knowledge on caveolae and their role in cancer development through their activity in membrane tension buffering. We propose that the role of caveolae in cancer has to be revisited through their response to the mechanical forces encountered by cancer cells during tumor mass development. Keywords Caveolae . Cancer . Mechanosensing . Mechanotransdcution . Membrane tension . -
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. -
EHD2 Is a Mechanotransducer Connecting Caveolae Dynamics with Gene Transcription
EHD2 is a mechanotransducer connecting caveolae dynamics with gene transcription Satish Kailasam Mani, Cesar Valades-Cruz, Stéphanie Torrino, Wei-Wei Shen, Cedric Blouin, Satish Kailasam Mani, Christine Viaris de Lesegno, Pierre Bost, Alexandre Grassart, Darius Köster, et al. To cite this version: Satish Kailasam Mani, Cesar Valades-Cruz, Stéphanie Torrino, Wei-Wei Shen, Cedric Blouin, et al.. EHD2 is a mechanotransducer connecting caveolae dynamics with gene transcription. Journal of Cell Biology, Rockefeller University Press, 2018, 217 (12), pp.4092-4105. 10.1083/jcb.201801122. inserm- 02426440 HAL Id: inserm-02426440 https://www.hal.inserm.fr/inserm-02426440 Submitted on 2 Jan 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - ShareAlike| 4.0 International License REPORT EHD2 is a mechanotransducer connecting caveolae dynamics with gene transcription Stéphanie Torrino1,2,3*, Wei‑Wei Shen1,2,3*, Cédric M. Blouin1,2,3, Satish Kailasam Mani1,2,3, Christine Viaris de Lesegno1,2,3, Pierre Bost4,5, Alexandre Grassart6, Darius Köster7, Cesar Augusto Valades‑Cruz2,3,8, Valérie Chambon2,3,8, Ludger Johannes2,3,8, Paolo Pierobon9, Vassili Soumelis4, Catherine Coirault10, Stéphane Vassilopoulos10, and Christophe Lamaze1,2,3 Caveolae are small invaginated pits that function as dynamic mechanosensors to buffer tension variations at the plasma membrane. -
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. -
Autophagy Suppresses Ras-Driven Epithelial Tumourigenesis by Limiting the Accumulation of Reactive Oxygen Species
OPEN Oncogene (2017) 36, 5576–5592 www.nature.com/onc ORIGINAL ARTICLE Autophagy suppresses Ras-driven epithelial tumourigenesis by limiting the accumulation of reactive oxygen species This article has been corrected since Advance Online Publication and a corrigendum is also printed in this issue. J Manent1,2,3,4,5,12, S Banerjee2,3,4,5, R de Matos Simoes6, T Zoranovic7,13, C Mitsiades6, JM Penninger7, KJ Simpson4,5, PO Humbert3,5,8,9,10 and HE Richardson1,2,5,8,11 Activation of Ras signalling occurs in ~ 30% of human cancers; however, activated Ras alone is not sufficient for tumourigenesis. In a screen for tumour suppressors that cooperate with oncogenic Ras (RasV12)inDrosophila, we identified genes involved in the autophagy pathway. Bioinformatic analysis of human tumours revealed that several core autophagy genes, including GABARAP, correlate with oncogenic KRAS mutations and poor prognosis in human pancreatic cancer, supporting a potential tumour- suppressive effect of the pathway in Ras-driven human cancers. In Drosophila, we demonstrate that blocking autophagy at any step of the pathway enhances RasV12-driven epithelial tissue overgrowth via the accumulation of reactive oxygen species and activation of the Jun kinase stress response pathway. Blocking autophagy in RasV12 clones also results in non-cell-autonomous effects with autophagy, cell proliferation and caspase activation induced in adjacent wild-type cells. Our study has implications for understanding the interplay between perturbations in Ras signalling and autophagy in tumourigenesis, -
On the Move : Endocytic Trafficking in Cell Migration
Erschienen in: Cellular and Molecular Life Sciences ; 72 (2015), 11. - S. 2119-2134 https://dx.doi.org/10.1007/s00018-015-1855-9 On the move: endocytic trafficking in cell migration Tanja Maritzen • Hannah Schachtner • Daniel F. Legler Abstract Directed cell migration is a fundamental process unraveling the contribution of cellular trafficking pathways underlying diverse physiological and pathophysiological to cell migration. phenomena ranging from wound healing and induction of immune responses to cancer metastasis. Recent advances Keywords Endocytosis Á Cellular motility Á Clathrin Á reveal that endocytic trafficking contributes to cell migration Chemotaxis Á Signal transduction Á Vesicular transport in multiple ways. (1) At the level of chemokines and che- mokine receptors: internalization of chemokines by scavenger receptors is essential for shaping chemotactic Introduction gradients in tissue, whereas endocytosis of chemokine re- ceptors and their subsequent recycling is key for maintaining Diverse physiological processes ranging from embryonic a high responsiveness of migrating cells. (2) At the level of development to the induction of immune responses require integrin trafficking and focal adhesion dynamics: endosomal coordinated cell migration within the organism. In addi- pathways do not only modulate adhesion by delivering in- tion, migratory abilities of cells also represent a tegrins to their site of action, but also by supplying factors determining factor in pathological settings such as metas- for focal adhesion disassembly. (3) At the level of extra- tasis and inflammatory diseases. The term cell migration cellular matrix reorganization: endosomal transport comprises a number of different migration modes with contributes to tumor cell migration not only by targeting different mechanistic requirements. -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
Supplemental Material For
Supplemental material for Epithelial to mesenchymal transition rewires the molecular path to PI3-Kinase-dependent proliferation Megan B. Salt1,2, Sourav Bandyopadhyay1,3 and Frank McCormick1 Authors Affiliations: 1-Helen Diller Family Comprehensive Cancer Center; 2-Biomedical Sciences Graduate Program, University of California San Francisco, San Francisco, California; 3-California Institute for Quantitative Biosciences, San Francisco, California. Supplemental Figure Legends Table S1. EMT associated changes in gene expression. Significantly (A) up- and (B) down- regulated genes in comparing H358-TwistER cells to control H358-GFP expressing cells treated with 100nM 4OHT for 12 days. The four columns on the right are associated with significantly upregulated genes, while the four columns furthest left described significantly downregulated genes. The first column for the up- and downregulated genes shows the Probe ID associated with each gene from the Affymetric Human Gene 1.0 ST microarrays. The gene name are shown in the next column, followed by the log2(fold change) in expression for each gene after 4OHT treatment in the H358-TwistER cells. The final column shows the p-value for each gene adjusted for the false discovery rate. Figure S1. Akt inhibition reduces serum-independent proliferation. (A) Proliferation of H358- TwistER cells with increasing concentrations (uM) of GSK-690693 (top) or MK-2206 (bottom). (B) Lysates from H358-TwistER cells treated for 48hrs in serum free media with indicated concentrations of GSK-690693 (top), or MK-2206 (bottom). Figure S2. The effects of TGFβ1 are specific to epithelial cells and lead to reduced serum- independent proliferation. (A) Proliferation of untreated (top) or TGFβ1 pre-treated (bottom) H358 and H441 cells in the presence (10%) or absence (SS) of serum. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
The Discovery and Regulation of Modes of Exocytosis Through the Lens of Computer Vision
THE DISCOVERY AND REGULATION OF MODES OF EXOCYTOSIS THROUGH THE LENS OF COMPUTER VISION Fabio Urbina A thesis submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the department of Cell Biology and Physiology in the School of Medicine. Chapel Hill 2020 Approved by: Stephanie Gupton Patrick Brennwald Doug Cyr Keith Burridge Shawn Gomez © 2020 Fabio Urbina ALL RIGHTS RESERVED ii ABSTRACT Fabio Urbina: Discovery and Regulation of the Modes of Exocytosis through the lens of computer vision (Under the direction of Stephanie Gupton) The formation of the nervous system involves establishing complex networks of synaptic connections between proper partners, which requires the rapid expansion of the plasma membrane surface area as neurons grow. Critical to the expansion of the plasma membrane is exocytic vesicle fusion, a regulated mechanism driven by soluble N-ethylmaleimide-sensitive factor attachment proteins receptors (SNAREs). Multiple modes of exocytosis have been proposed, with full-vesicle fusion (FVF) and kiss-and-run (KNR) being the best described. The basis of SNARE-mediated fusion, the opening of a fusion pore, and its contribution to plasma membrane expansion remains enigmatic, as vesicle fusion is spatially small and temporally fast. We exploited TIRF microscopy to image VAMP-pHluorin mediated exocytosis in murine embryonic cortical neurons and developed computer-vision software and statistical tools to perform unbiased, efficient identification of exocytic events and uncover spatiotemporal aspects of exocytosis during neuron development. We further developed novel classification algorithms to describe. and classify individual exocytic events. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Time-Resolved Systems Analysis of Virus Infection Fate Regulation
Time-resolved systems analysis of virus infection fate regulation Mireia Pedragosa Marín TESI DOCTORAL UPF / 2018 DIRECTORS DE LA TESI Dr. Andreas Meyerhans i Dr. Jordi Argilaguet DEPARTAMENT DE CIÈNCIES EXPERIMENTALS I DE LA SALUT Als que estimo, i a les “Surullotes”, ACKNOWLEDGEMENTS Sembla mentida però per fi ha arribat el moment d’entregar i defensar la tesi. No m’ho puc ni creure… Així que toca agraïr a tots i totes els/les que han fet que això hagi estat posible. To start with, I want to thank my supervisor Dr. Andreas Meyerhans, not only for providing a lab and money for the experiments, but also for his help during the thesis. I know I am not always easy and that I have still lots of things to learn… but I enjoyed (and will continue enjoying) the process. Jordi, coneixent-me saps que, de tota la tesi, el que més m’està costant és aquest apartat… així que seré breu com sempre. INFINITES GRÀCIES PER TOT. Necessito una tesi sencera per poder agraïr-te tot el que has fet (I segur que hauràs de seguir fent, ho sento). Gràcies pel suport moral, mental i físic. I per cert, no m’oblido de la paella… To all my labmates from the past and from the present. Gracielita (gracias por enseñarme Paraguayo Y por hacer del lab una fiesta), Vale, Eva, Kat, Mie, Javier, and the people from Juana’s lab. You make from everyday a different and happy day, really. A l’Eva, l’Erika, l’Òscar i a l’Àlex per la seva ajuda en els projectes de flow, que no sempre surt tot com una vol i per les xerrades “no tècniques” que fan les hores de flow més curtes.