Literature DB >> 26628584

MECHANISMS IN ENDOCRINOLOGY: Alternative splicing: the new frontier in diabetes research.

Jonàs Juan-Mateu1, Olatz Villate2, Décio L Eizirik1.   

Abstract

Type 1 diabetes (T1D) is a chronic autoimmune disease in which pancreatic β cells are killed by infiltrating immune cells and by cytokines released by these cells. This takes place in the context of a dysregulated dialogue between invading immune cells and target β cells, but the intracellular signals that decide β cell fate remain to be clarified. Alternative splicing (AS) is a complex post-transcriptional regulatory mechanism affecting gene expression. It regulates the inclusion/exclusion of exons into mature mRNAs, allowing individual genes to produce multiple protein isoforms that expand the proteome diversity. Functionally related transcript populations are co-ordinately spliced by master splicing factors, defining regulatory networks that allow cells to rapidly adapt their transcriptome in response to intra and extracellular cues. There is a growing interest in the role of AS in autoimmune diseases, but little is known regarding its role in T1D. In this review, we discuss recent findings suggesting that splicing events occurring in both immune and pancreatic β cells contribute to the pathogenesis of T1D. Splicing switches in T cells and in lymph node stromal cells are involved in the modulation of the immune response against β cells, while β cells exposed to pro-inflammatory cytokines activate complex splicing networks that modulate β cell viability, expression of neoantigens and susceptibility to immune-induced stress. Unveiling the role of AS in β cell functional loss and death will increase our understanding of T1D pathogenesis and may open new avenues for disease prevention and therapy.
© 2016 European Society of Endocrinology.

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Year:  2015        PMID: 26628584      PMCID: PMC5331159          DOI: 10.1530/EJE-15-0916

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  127 in total

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Review 2.  How thymic antigen presenting cells sample the body's self-antigens.

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Journal:  Curr Opin Immunol       Date:  2010-09-09       Impact factor: 7.486

Review 3.  Towards understanding RNA-mediated neurological disorders.

Authors:  Ranhui Duan; Sumeet Sharma; Qiuping Xia; Kathryn Garber; Peng Jin
Journal:  J Genet Genomics       Date:  2014-08-23       Impact factor: 4.275

4.  SON connects the splicing-regulatory network with pluripotency in human embryonic stem cells.

Authors:  Xinyi Lu; Jonathan Göke; Friedrich Sachs; Pierre-Étienne Jacques; Hongqing Liang; Bo Feng; Guillaume Bourque; Paula A Bubulya; Huck-Hui Ng
Journal:  Nat Cell Biol       Date:  2013-09-08       Impact factor: 28.824

Review 5.  Splicing regulation in neurologic disease.

Authors:  Donny D Licatalosi; Robert B Darnell
Journal:  Neuron       Date:  2006-10-05       Impact factor: 17.173

6.  Mutations in GLIS3 are responsible for a rare syndrome with neonatal diabetes mellitus and congenital hypothyroidism.

Authors:  Valérie Senée; Claude Chelala; Sabine Duchatelet; Daorong Feng; Hervé Blanc; Jack-Christophe Cossec; Céline Charon; Marc Nicolino; Pascal Boileau; Douglas R Cavener; Pierre Bougnères; Doris Taha; Cécile Julier
Journal:  Nat Genet       Date:  2006-05-21       Impact factor: 38.330

7.  bcl-x, a bcl-2-related gene that functions as a dominant regulator of apoptotic cell death.

Authors:  L H Boise; M González-García; C E Postema; L Ding; T Lindsten; L A Turka; X Mao; G Nuñez; C B Thompson
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8.  Identification of CTLA-4 isoforms produced by alternative splicing and their association with myasthenia gravis.

Authors:  Ming Gu; Maria Kakoulidou; Ricardo Giscombe; Ritva Pirskanen; Ann Kari Lefvert; Lars Klareskog; XiongBiao Wang
Journal:  Clin Immunol       Date:  2008-07-02       Impact factor: 3.969

9.  Inflammation and hyperglycemia mediate Deaf1 splicing in the pancreatic lymph nodes via distinct pathways during type 1 diabetes.

Authors:  Linda Yip; Rebecca Fuhlbrigge; Cariel Taylor; Remi J Creusot; Teppei Nishikawa-Matsumura; Chan C Whiting; Jill M Schartner; Rahima Akter; Matthias von Herrath; C Garrison Fathman
Journal:  Diabetes       Date:  2014-09-03       Impact factor: 9.461

10.  A comparison of methods for differential expression analysis of RNA-seq data.

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  19 in total

Review 1.  When one becomes many-Alternative splicing in β-cell function and failure.

Authors:  Maria Inês Alvelos; Jonàs Juan-Mateu; Maikel Luis Colli; Jean-Valéry Turatsinze; Décio L Eizirik
Journal:  Diabetes Obes Metab       Date:  2018-09       Impact factor: 6.577

2.  Neuron-enriched RNA-binding Proteins Regulate Pancreatic Beta Cell Function and Survival.

Authors:  Jonàs Juan-Mateu; Tatiana H Rech; Olatz Villate; Esther Lizarraga-Mollinedo; Anna Wendt; Jean-Valery Turatsinze; Letícia A Brondani; Tarlliza R Nardelli; Tatiane C Nogueira; Jonathan L S Esguerra; Maria Inês Alvelos; Piero Marchetti; Lena Eliasson; Décio L Eizirik
Journal:  J Biol Chem       Date:  2017-01-11       Impact factor: 5.157

3.  Graphene quantum dots rescue protein dysregulation of pancreatic β-cells exposed to human islet amyloid polypeptide.

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Journal:  Nano Res       Date:  2019-09-26       Impact factor: 8.897

Review 4.  Emerging roles of RNA-binding proteins in diabetes and their therapeutic potential in diabetic complications.

Authors:  Curtis A Nutter; Muge N Kuyumcu-Martinez
Journal:  Wiley Interdiscip Rev RNA       Date:  2017-12-27       Impact factor: 9.957

5.  SRp55 Regulates a Splicing Network That Controls Human Pancreatic β-Cell Function and Survival.

Authors:  Jonàs Juan-Mateu; Maria Inês Alvelos; Jean-Valéry Turatsinze; Olatz Villate; Esther Lizarraga-Mollinedo; Fabio Arturo Grieco; Laura Marroquí; Marco Bugliani; Piero Marchetti; Décio L Eizirik
Journal:  Diabetes       Date:  2017-12-15       Impact factor: 9.461

6.  Transcriptome sequencing of gingival biopsies from chronic periodontitis patients reveals novel gene expression and splicing patterns.

Authors:  Yong-Gun Kim; Minjung Kim; Ji Hyun Kang; Hyo Jeong Kim; Jin-Woo Park; Jae-Mok Lee; Jo-Young Suh; Jae-Young Kim; Jae-Hyung Lee; Youngkyun Lee
Journal:  Hum Genomics       Date:  2016-08-17       Impact factor: 4.639

7.  The Characterization of GSDMB Splicing and Backsplicing Profiles Identifies Novel Isoforms and a Circular RNA That Are Dysregulated in Multiple Sclerosis.

Authors:  Giulia Cardamone; Elvezia Maria Paraboschi; Valeria Rimoldi; Stefano Duga; Giulia Soldà; Rosanna Asselta
Journal:  Int J Mol Sci       Date:  2017-03-07       Impact factor: 5.923

Review 8.  Splicing in immune cells-mechanistic insights and emerging topics.

Authors:  Annalisa Schaub; Elke Glasmacher
Journal:  Int Immunol       Date:  2017-04-01       Impact factor: 4.823

9.  A deep learning approach to identify gene targets of a therapeutic for human splicing disorders.

Authors:  Dadi Gao; Elisabetta Morini; Monica Salani; Aram J Krauson; Anil Chekuri; Neeraj Sharma; Ashok Ragavendran; Serkan Erdin; Emily M Logan; Wencheng Li; Amal Dakka; Jana Narasimhan; Xin Zhao; Nikolai Naryshkin; Christopher R Trotta; Kerstin A Effenberger; Matthew G Woll; Vijayalakshmi Gabbeta; Gary Karp; Yong Yu; Graham Johnson; William D Paquette; Garry R Cutting; Michael E Talkowski; Susan A Slaugenhaupt
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

Review 10.  Opportunities and obstacles for deep learning in biology and medicine.

Authors:  Travers Ching; Daniel S Himmelstein; Brett K Beaulieu-Jones; Alexandr A Kalinin; Brian T Do; Gregory P Way; Enrico Ferrero; Paul-Michael Agapow; Michael Zietz; Michael M Hoffman; Wei Xie; Gail L Rosen; Benjamin J Lengerich; Johnny Israeli; Jack Lanchantin; Stephen Woloszynek; Anne E Carpenter; Avanti Shrikumar; Jinbo Xu; Evan M Cofer; Christopher A Lavender; Srinivas C Turaga; Amr M Alexandari; Zhiyong Lu; David J Harris; Dave DeCaprio; Yanjun Qi; Anshul Kundaje; Yifan Peng; Laura K Wiley; Marwin H S Segler; Simina M Boca; S Joshua Swamidass; Austin Huang; Anthony Gitter; Casey S Greene
Journal:  J R Soc Interface       Date:  2018-04       Impact factor: 4.293

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