Literature DB >> 34107020

Tissue- and stage-specific landscape of the mouse translatome.

Hongwei Wang1, Yan Wang1, Jiaqi Yang1, Qian Zhao2, Nan Tang1, Congying Chen1, Huihui Li1, Chichi Cheng1, Mingzhe Xie1, Yang Yang2, Zhi Xie1.   

Abstract

The current understanding of how overall principles of translational control govern the embryo-to-adult transition in mammals is still far from comprehensive. Herein we profiled the translatomes and transcriptomes of six tissues from the mice at embryonic and adult stages and presented the first report of tissue- and stage-specific translational landscape in mice. We quantified the extent of gene expression divergence among different expression layers, tissues and stages, detected significant changes in gene composition and function underlying these divergences and revealed the changing architecture of translational regulation. We further showed that dynamic translational regulation can be largely achieved via modulation of translational efficiency. Translational efficiency could be altered by alternative splicing (AS), upstream and downstream open reading frames (uORFs and dORFs). We revealed AS-mediated translational repression that was exerted in an event type-dependent manner. uORFs and dORFs exhibited mutually exclusive usage and the opposing effects of translational regulation. Furthermore, we discovered many novel microproteins encoded by long noncoding RNAs and demonstrated their regulatory potential and functional relevance. Our data and analyses will facilitate a better understanding of the complexity of translation and translational regulation across tissue and stage spectra and provide an important resource to the translatome research community.
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Year:  2021        PMID: 34107020      PMCID: PMC8216458          DOI: 10.1093/nar/gkab482

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  41 in total

1.  TissueEnrich: Tissue-specific gene enrichment analysis.

Authors:  Ashish Jain; Geetu Tuteja
Journal:  Bioinformatics       Date:  2019-06-01       Impact factor: 6.937

2.  Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation.

Authors:  Ariel A Bazzini; Timothy G Johnstone; Romain Christiano; Sebastian D Mackowiak; Benedikt Obermayer; Elizabeth S Fleming; Charles E Vejnar; Miler T Lee; Nikolaus Rajewsky; Tobias C Walther; Antonio J Giraldez
Journal:  EMBO J       Date:  2014-04-04       Impact factor: 11.598

3.  Ribosome Footprint Profiling of Translation throughout the Genome.

Authors:  Nicholas T Ingolia
Journal:  Cell       Date:  2016-03-24       Impact factor: 41.582

4.  CDD/SPARCLE: the conserved domain database in 2020.

Authors:  Shennan Lu; Jiyao Wang; Farideh Chitsaz; Myra K Derbyshire; Renata C Geer; Noreen R Gonzales; Marc Gwadz; David I Hurwitz; Gabriele H Marchler; James S Song; Narmada Thanki; Roxanne A Yamashita; Mingzhang Yang; Dachuan Zhang; Chanjuan Zheng; Christopher J Lanczycki; Aron Marchler-Bauer
Journal:  Nucleic Acids Res       Date:  2020-01-08       Impact factor: 16.971

5.  Measuring gene expression divergence: the distance to keep.

Authors:  Galina Glazko; Arcady Mushegian
Journal:  Biol Direct       Date:  2010-08-06       Impact factor: 4.540

6.  DeepLoc: prediction of protein subcellular localization using deep learning.

Authors:  José Juan Almagro Armenteros; Casper Kaae Sønderby; Søren Kaae Sønderby; Henrik Nielsen; Ole Winther
Journal:  Bioinformatics       Date:  2017-11-01       Impact factor: 6.937

7.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions.

Authors:  Daehwan Kim; Geo Pertea; Cole Trapnell; Harold Pimentel; Ryan Kelley; Steven L Salzberg
Journal:  Genome Biol       Date:  2013-04-25       Impact factor: 13.583

9.  Poly(A)-tail profiling reveals an embryonic switch in translational control.

Authors:  Alexander O Subtelny; Stephen W Eichhorn; Grace R Chen; Hazel Sive; David P Bartel
Journal:  Nature       Date:  2014-01-29       Impact factor: 49.962

Review 10.  A perspective on mammalian upstream open reading frame function.

Authors:  Joanna Somers; Tuija Pöyry; Anne E Willis
Journal:  Int J Biochem Cell Biol       Date:  2013-04-25       Impact factor: 5.085

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  3 in total

Review 1.  RNA-binding proteins and post-transcriptional regulation in lens biology and cataract: Mediating spatiotemporal expression of key factors that control the cell cycle, transcription, cytoskeleton and transparency.

Authors:  Salil A Lachke
Journal:  Exp Eye Res       Date:  2021-12-11       Impact factor: 3.467

2.  Widespread translational control regulates retinal development in mouse.

Authors:  Kaining Chen; Congying Chen; Huihui Li; Jiaqi Yang; Mengqing Xiang; Hongwei Wang; Zhi Xie
Journal:  Nucleic Acids Res       Date:  2021-09-27       Impact factor: 16.971

3.  Identifying ribosome heterogeneity using ribosome profiling.

Authors:  Ferhat Alkan; Oscar G Wilkins; Santiago Hernández-Pérez; Sofia Ramalho; Joana Silva; Jernej Ule; William J Faller
Journal:  Nucleic Acids Res       Date:  2022-09-09       Impact factor: 19.160

  3 in total

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