Literature DB >> 32578074

Composition of Caenorhabditis elegans extracellular vesicles suggests roles in metabolism, immunity, and aging.

Joshua C Russell1, Taek-Kyun Kim2, Ayush Noori3, Gennifer E Merrihew4, Julia E Robbins4, Alexandra Golubeva5, Kai Wang2, Michael J MacCoss4, Matt Kaeberlein6.   

Abstract

The nematode Caenorhabditis elegans has been instrumental in the identification of evolutionarily conserved mechanisms of aging. C. elegans also has recently been found to have evolutionarily conserved extracellular vesicle (EV) signaling pathways. We have been developing tools that allow for the detailed study of EV biology in C. elegans. Here we apply our recently published method for high specificity purification of EVs from C. elegans to carry out target-independent proteomic and RNA analysis of nematode EVs. We identify diverse coding and non-coding RNA and protein cargo types commonly found in human EVs. The EV cargo spectrum is distinct from whole worms, suggesting that protein and RNA cargos are actively recruited to EVs. Gene ontology analysis revealed C. elegans EVs are enriched for extracellular-associated and signaling proteins, and network analysis indicates enrichment for metabolic, immune, and basement membrane associated proteins. Tissue enrichment and gene expression analysis suggests the secreted EV proteins are likely to be derived from intestine, muscle, and excretory tissue. An unbiased comparison of the EV proteins with a large database of C. elegans genome-wide microarray data showed significant overlap with gene sets that are associated with aging and immunity. Taken together our data suggest C. elegans could be a promising in vivo model for studying the genetics and physiology of EVs in a variety of contexts including aging, metabolism, and immune response.

Entities:  

Keywords:  Aging; Basement membrane glycoproteins; Gene enrichment analysis; Immune response; LC-MS-MS analysis; Membrane raft proteins; Metabolism; Small RNAseq

Mesh:

Year:  2020        PMID: 32578074      PMCID: PMC7394990          DOI: 10.1007/s11357-020-00204-1

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.581


  96 in total

1.  Proteomic parsimony through bipartite graph analysis improves accuracy and transparency.

Authors:  Bing Zhang; Matthew C Chambers; David L Tabb
Journal:  J Proteome Res       Date:  2007-08-04       Impact factor: 4.466

2.  Evolutionary Proteomics Uncovers Ancient Associations of Cilia with Signaling Pathways.

Authors:  Monika Abedin Sigg; Tabea Menchen; Chanjae Lee; Jeffery Johnson; Melissa K Jungnickel; Semil P Choksi; Galo Garcia; Henriette Busengdal; Gerard W Dougherty; Petra Pennekamp; Claudius Werner; Fabian Rentzsch; Harvey M Florman; Nevan Krogan; John B Wallingford; Heymut Omran; Jeremy F Reiter
Journal:  Dev Cell       Date:  2017-12-18       Impact factor: 12.270

3.  The P4-ATPase TAT-5 inhibits the budding of extracellular vesicles in C. elegans embryos.

Authors:  Ann M Wehman; Corey Poggioli; Peter Schweinsberg; Barth D Grant; Jeremy Nance
Journal:  Curr Biol       Date:  2011-11-17       Impact factor: 10.834

4.  Cell nonautonomous activation of flavin-containing monooxygenase promotes longevity and health span.

Authors:  Hillary Miller; Ryan Rossner; Scott F Leiser; Marissa Fletcher; Alison Leonard; Melissa Primitivo; Nicholas Rintala; Fresnida J Ramos; Dana L Miller; Matt Kaeberlein
Journal:  Science       Date:  2015-11-19       Impact factor: 47.728

Review 5.  The hallmarks of aging.

Authors:  Carlos López-Otín; Maria A Blasco; Linda Partridge; Manuel Serrano; Guido Kroemer
Journal:  Cell       Date:  2013-06-06       Impact factor: 41.582

6.  The V0-ATPase mediates apical secretion of exosomes containing Hedgehog-related proteins in Caenorhabditis elegans.

Authors:  Samuel Liégeois; Alexandre Benedetto; Jean-Marie Garnier; Yannick Schwab; Michel Labouesse
Journal:  J Cell Biol       Date:  2006-06-19       Impact factor: 10.539

7.  Mitochondrial metabolites extend lifespan.

Authors:  Robert J Mishur; Maruf Khan; Erin Munkácsy; Lokendra Sharma; Alex Bokov; Haley Beam; Oxana Radetskaya; Megan Borror; Rebecca Lane; Yidong Bai; Shane L Rea
Journal:  Aging Cell       Date:  2016-01-05       Impact factor: 9.304

8.  CSmiRTar: Condition-Specific microRNA targets database.

Authors:  Wei-Sheng Wu; Bor-Wen Tu; Tsung-Te Chen; Shang-Wei Hou; Joseph T Tseng
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

9.  Neuronal TORC1 modulates longevity via AMPK and cell nonautonomous regulation of mitochondrial dynamics in C. elegans.

Authors:  Yue Zhang; Anne Lanjuin; Suvagata Roy Chowdhury; Meeta Mistry; Carlos G Silva-García; Heather J Weir; Chia-Lin Lee; Caroline C Escoubas; Emina Tabakovic; William B Mair
Journal:  Elife       Date:  2019-08-14       Impact factor: 8.140

10.  miRBase: annotating high confidence microRNAs using deep sequencing data.

Authors:  Ana Kozomara; Sam Griffiths-Jones
Journal:  Nucleic Acids Res       Date:  2013-11-25       Impact factor: 16.971

View more
  3 in total

Review 1.  Conventional and Nonconventional Sources of Exosomes-Isolation Methods and Influence on Their Downstream Biomedical Application.

Authors:  Olga Janouskova; Regina Herma; Alena Semeradtova; David Poustka; Michaela Liegertova; Malinska Hana Auer; Jan Maly
Journal:  Front Mol Biosci       Date:  2022-05-02

2.  Isolation, profiling, and tracking of extracellular vesicle cargo in Caenorhabditis elegans.

Authors:  Inna A Nikonorova; Juan Wang; Alexander L Cope; Peter E Tilton; Kaiden M Power; Jonathon D Walsh; Jyothi S Akella; Amber R Krauchunas; Premal Shah; Maureen M Barr
Journal:  Curr Biol       Date:  2022-03-24       Impact factor: 10.900

Review 3.  RNAs on the Go: Extracellular Transfer in Insects with Promising Prospects for Pest Management.

Authors:  Dulce Santos; Simon Remans; Stijn Van den Brande; Jozef Vanden Broeck
Journal:  Plants (Basel)       Date:  2021-03-04
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.