Literature DB >> 36192632

Alternative RNA splicing modulates ribosomal composition and determines the spatial phenotype of glioblastoma cells.

Tatyana D Larionova1, Soniya Bastola2, Tatiana E Aksinina1, Ksenia S Anufrieva3,4, Jia Wang5, Victoria O Shender1,3,4, Dmitriy E Andreev1,6, Tatiana F Kovalenko1, Georgij P Arapidi1,3,4, Polina V Shnaider3,4, Anastasia N Kazakova4, Yaroslav A Latyshev7, Victor V Tatarskiy8, Alexander A Shtil9, Pascale Moreau10, Francis Giraud10, Chaoxi Li11, Yichan Wang5, Maria P Rubtsova1,6, Olga A Dontsova1,6,12, Michael Condro2, Benjamin M Ellingson13,14,15,16, Mikhail I Shakhparonov1, Harley I Kornblum17, Ichiro Nakano18, Marat S Pavlyukov19,20.   

Abstract

Glioblastoma (GBM) is characterized by exceptionally high intratumoral heterogeneity. However, the molecular mechanisms underlying the origin of different GBM cell populations remain unclear. Here, we found that the compositions of ribosomes of GBM cells in the tumour core and edge differ due to alternative RNA splicing. The acidic pH in the core switches before messenger RNA splicing of the ribosomal gene RPL22L1 towards the RPL22L1b isoform. This allows cells to survive acidosis, increases stemness and correlates with worse patient outcome. Mechanistically, RPL22L1b promotes RNA splicing by interacting with lncMALAT1 in the nucleus and inducing its degradation. Contrarily, in the tumour edge region, RPL22L1a interacts with ribosomes in the cytoplasm and upregulates the translation of multiple messenger RNAs including TP53. We found that the RPL22L1 isoform switch is regulated by SRSF4 and identified a compound that inhibits this process and decreases tumour growth. These findings demonstrate how distinct GBM cell populations arise during tumour growth. Targeting this mechanism may decrease GBM heterogeneity and facilitate therapy.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36192632     DOI: 10.1038/s41556-022-00994-w

Source DB:  PubMed          Journal:  Nat Cell Biol        ISSN: 1465-7392            Impact factor:   28.213


  90 in total

1.  Most human non-GCIMP glioblastoma subtypes evolve from a common proneural-like precursor glioma.

Authors:  Tatsuya Ozawa; Markus Riester; Yu-Kang Cheng; Jason T Huse; Massimo Squatrito; Karim Helmy; Nikki Charles; Franziska Michor; Eric C Holland
Journal:  Cancer Cell       Date:  2014-08-11       Impact factor: 31.743

2.  Acidic stress promotes a glioma stem cell phenotype.

Authors:  A B Hjelmeland; Q Wu; J M Heddleston; G S Choudhary; J MacSwords; J D Lathia; R McLendon; D Lindner; A Sloan; J N Rich
Journal:  Cell Death Differ       Date:  2010-12-03       Impact factor: 15.828

3.  Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis.

Authors:  Heidi S Phillips; Samir Kharbanda; Ruihuan Chen; William F Forrest; Robert H Soriano; Thomas D Wu; Anjan Misra; Janice M Nigro; Howard Colman; Liliana Soroceanu; P Mickey Williams; Zora Modrusan; Burt G Feuerstein; Ken Aldape
Journal:  Cancer Cell       Date:  2006-03       Impact factor: 31.743

Review 4.  Blood flow, oxygen and nutrient supply, and metabolic microenvironment of human tumors: a review.

Authors:  P Vaupel; F Kallinowski; P Okunieff
Journal:  Cancer Res       Date:  1989-12-01       Impact factor: 12.701

5.  An anatomic transcriptional atlas of human glioblastoma.

Authors:  Ralph B Puchalski; Nameeta Shah; Jeremy Miller; Rachel Dalley; Steve R Nomura; Jae-Guen Yoon; Kimberly A Smith; Michael Lankerovich; Darren Bertagnolli; Kris Bickley; Andrew F Boe; Krissy Brouner; Stephanie Butler; Shiella Caldejon; Mike Chapin; Suvro Datta; Nick Dee; Tsega Desta; Tim Dolbeare; Nadezhda Dotson; Amanda Ebbert; David Feng; Xu Feng; Michael Fisher; Garrett Gee; Jeff Goldy; Lindsey Gourley; Benjamin W Gregor; Guangyu Gu; Nika Hejazinia; John Hohmann; Parvinder Hothi; Robert Howard; Kevin Joines; Ali Kriedberg; Leonard Kuan; Chris Lau; Felix Lee; Hwahyung Lee; Tracy Lemon; Fuhui Long; Naveed Mastan; Erika Mott; Chantal Murthy; Kiet Ngo; Eric Olson; Melissa Reding; Zack Riley; David Rosen; David Sandman; Nadiya Shapovalova; Clifford R Slaughterbeck; Andrew Sodt; Graham Stockdale; Aaron Szafer; Wayne Wakeman; Paul E Wohnoutka; Steven J White; Don Marsh; Robert C Rostomily; Lydia Ng; Chinh Dang; Allan Jones; Bart Keogh; Haley R Gittleman; Jill S Barnholtz-Sloan; Patrick J Cimino; Megha S Uppin; C Dirk Keene; Farrokh R Farrokhi; Justin D Lathia; Michael E Berens; Antonio Iavarone; Amy Bernard; Ed Lein; John W Phillips; Steven W Rostad; Charles Cobbs; Michael J Hawrylycz; Greg D Foltz
Journal:  Science       Date:  2018-05-11       Impact factor: 47.728

6.  A Time-Based and Intratumoral Proteomic Assessment of a Recurrent Glioblastoma Multiforme.

Authors:  Priscila F de Aquino; Paulo Costa Carvalho; Fábio C S Nogueira; Clovis Orlando da Fonseca; Júlio Cesar Thomé de Souza Silva; Maria da Gloria da Costa Carvalho; Gilberto B Domont; Nilson I T Zanchin; Juliana de Saldanha da Gama Fischer
Journal:  Front Oncol       Date:  2016-08-22       Impact factor: 6.244

7.  Treatment outcome of patients with recurrent glioblastoma multiforme: a retrospective multicenter analysis.

Authors:  Myra E van Linde; Cyrillo G Brahm; Philip C de Witt Hamer; Jaap C Reijneveld; Anna M E Bruynzeel; W Peter Vandertop; Peter M van de Ven; Michiel Wagemakers; Hiske L van der Weide; Roelien H Enting; Annemiek M E Walenkamp; Henk M W Verheul
Journal:  J Neurooncol       Date:  2017-07-20       Impact factor: 4.130

8.  The integrative metabolomic-transcriptomic landscape of glioblastome multiforme.

Authors:  Dieter Henrik Heiland; Jakob Wörner; Jan Gerrit Haaker; Daniel Delev; Nils Pompe; Bianca Mercas; Pamela Franco; Annette Gäbelein; Sabrina Heynckes; Dietmar Pfeifer; Stefan Weber; Irina Mader; Oliver Schnell
Journal:  Oncotarget       Date:  2017-07-25

9.  Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link.

Authors:  Jean-Michel Lemée; Anne Clavreul; Marc Aubry; Emmanuelle Com; Marie de Tayrac; Jean Mosser; Philippe Menei
Journal:  BMC Mol Biol       Date:  2018-11-21       Impact factor: 2.946

10.  Glioma-initiating cells at tumor edge gain signals from tumor core cells to promote their malignancy.

Authors:  Soniya Bastola; Marat S Pavlyukov; Daisuke Yamashita; Sadashib Ghosh; Heejin Cho; Noritaka Kagaya; Zhuo Zhang; Mutsuko Minata; Yeri Lee; Hirokazu Sadahiro; Shinobu Yamaguchi; Svetlana Komarova; Eddy Yang; James Markert; Louis B Nabors; Krishna Bhat; James Lee; Qin Chen; David K Crossman; Kazuo Shin-Ya; Do-Hyun Nam; Ichiro Nakano
Journal:  Nat Commun       Date:  2020-09-16       Impact factor: 14.919

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  1 in total

1.  Ribosome specialization in glioblastoma.

Authors:  Naomi R Genuth; Maria Barna
Journal:  Nat Cell Biol       Date:  2022-10       Impact factor: 28.213

  1 in total

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