Literature DB >> 35098922

Inter-tissue convergence of gene expression during ageing suggests age-related loss of tissue and cellular identity.

Hamit Izgi1, Dingding Han2, Ulas Isildak1, Shuyun Huang2, Ece Kocabiyik1, Philipp Khaitovich3, Mehmet Somel1, Handan Melike Dönertaş4,5.   

Abstract

Developmental trajectories of gene expression may reverse in their direction during ageing, a phenomenon previously linked to cellular identity loss. Our analysis of cerebral cortex, lung, liver, and muscle transcriptomes of 16 mice, covering development and ageing intervals, revealed widespread but tissue-specific ageing-associated expression reversals. Cumulatively, these reversals create a unique phenomenon: mammalian tissue transcriptomes diverge from each other during postnatal development, but during ageing, they tend to converge towards similar expression levels, a process we term Divergence followed by Convergence (DiCo). We found that DiCo was most prevalent among tissue-specific genes and associated with loss of tissue identity, which is confirmed using data from independent mouse and human datasets. Further, using publicly available single-cell transcriptome data, we showed that DiCo could be driven both by alterations in tissue cell-type composition and also by cell-autonomous expression changes within particular cell types.
© 2022, Izgi et al.

Entities:  

Keywords:  ageing; development; genetics; genomics; human; mouse; reversal; transcriptome

Mesh:

Year:  2022        PMID: 35098922      PMCID: PMC8880995          DOI: 10.7554/eLife.68048

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  52 in total

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Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

2.  Increased cell-to-cell variation in gene expression in ageing mouse heart.

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Journal:  Nature       Date:  2006-06-22       Impact factor: 49.962

3.  Comprehensive Integration of Single-Cell Data.

Authors:  Tim Stuart; Andrew Butler; Paul Hoffman; Christoph Hafemeister; Efthymia Papalexi; William M Mauck; Yuhan Hao; Marlon Stoeckius; Peter Smibert; Rahul Satija
Journal:  Cell       Date:  2019-06-06       Impact factor: 41.582

4.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

5.  Temporal dynamics and genetic control of transcription in the human prefrontal cortex.

Authors:  Carlo Colantuoni; Barbara K Lipska; Tianzhang Ye; Thomas M Hyde; Ran Tao; Jeffrey T Leek; Elizabeth A Colantuoni; Abdel G Elkahloun; Mary M Herman; Daniel R Weinberger; Joel E Kleinman
Journal:  Nature       Date:  2011-10-26       Impact factor: 49.962

6.  Osteoclast formation, survival and morphology are highly dependent on exogenous cholesterol/lipoproteins.

Authors:  E Luegmayr; H Glantschnig; G A Wesolowski; M A Gentile; J E Fisher; G A Rodan; A A Reszka
Journal:  Cell Death Differ       Date:  2004-07       Impact factor: 15.828

7.  miRTarBase: a database curates experimentally validated microRNA-target interactions.

Authors:  Sheng-Da Hsu; Feng-Mao Lin; Wei-Yun Wu; Chao Liang; Wei-Chih Huang; Wen-Ling Chan; Wen-Ting Tsai; Goun-Zhou Chen; Chia-Jung Lee; Chih-Min Chiu; Chia-Hung Chien; Ming-Chia Wu; Chi-Ying Huang; Ann-Ping Tsou; Hsien-Da Huang
Journal:  Nucleic Acids Res       Date:  2010-11-10       Impact factor: 16.971

8.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

9.  An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics.

Authors:  Ilias Angelidis; Lukas M Simon; Isis E Fernandez; Maximilian Strunz; Christoph H Mayr; Flavia R Greiffo; George Tsitsiridis; Meshal Ansari; Elisabeth Graf; Tim-Matthias Strom; Monica Nagendran; Tushar Desai; Oliver Eickelberg; Matthias Mann; Fabian J Theis; Herbert B Schiller
Journal:  Nat Commun       Date:  2019-02-27       Impact factor: 14.919

10.  Ageing hallmarks exhibit organ-specific temporal signatures.

Authors:  Nicholas Schaum; Benoit Lehallier; Oliver Hahn; Róbert Pálovics; Shayan Hosseinzadeh; Song E Lee; Rene Sit; Davis P Lee; Patricia Morán Losada; Macy E Zardeneta; Tobias Fehlmann; James T Webber; Aaron McGeever; Kruti Calcuttawala; Hui Zhang; Daniela Berdnik; Vidhu Mathur; Weilun Tan; Alexander Zee; Michelle Tan; Angela Oliveira Pisco; Jim Karkanias; Norma F Neff; Andreas Keller; Spyros Darmanis; Stephen R Quake; Tony Wyss-Coray
Journal:  Nature       Date:  2020-07-15       Impact factor: 49.962

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  1 in total

1.  Molecular Modelling Hurdle in the Next-Generation Sequencing Era.

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Journal:  Int J Mol Sci       Date:  2022-06-28       Impact factor: 6.208

  1 in total

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