Literature DB >> 32563038

The aging transcriptome: read between the lines.

Anabel Perez-Gomez1, Joel N Buxbaum2, Michael Petrascheck3.   

Abstract

The increasing sophistication of gene expression technologies has given rise to the idea that aging could be understood by analyzing transcriptomes. Mapping trajectories of gene expression changes in aging organisms, across different tissues and brain regions has provided insights on how biological functions change with age. However, recent publications suggest that transcriptional regulation itself deteriorates with age. Loss of transcriptional regulation will lead to non-regulated gene expression changes, but current analysis strategies were not designed to disentangle mixtures of regulated and non-regulated changes. Disentangling transcriptional data to distinguish adaptive, regulatory changes, from those that are the consequence of the age-associated deterioration is likely to create an analytical challenge but promises to unlock yet poorly understood aspects of many age-associated transcriptomes.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Year:  2020        PMID: 32563038      PMCID: PMC7484127          DOI: 10.1016/j.conb.2020.05.001

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  39 in total

1.  Gene regulation and DNA damage in the ageing human brain.

Authors:  Tao Lu; Ying Pan; Shyan-Yuan Kao; Cheng Li; Isaac Kohane; Jennifer Chan; Bruce A Yankner
Journal:  Nature       Date:  2004-06-09       Impact factor: 49.962

2.  Identification and Application of Gene Expression Signatures Associated with Lifespan Extension.

Authors:  Alexander Tyshkovskiy; Perinur Bozaykut; Anastasia A Borodinova; Maxim V Gerashchenko; Gene P Ables; Michael Garratt; Philipp Khaitovich; Clary B Clish; Richard A Miller; Vadim N Gladyshev
Journal:  Cell Metab       Date:  2019-07-25       Impact factor: 27.287

3.  Repression of the Heat Shock Response Is a Programmed Event at the Onset of Reproduction.

Authors:  Johnathan Labbadia; Richard I Morimoto
Journal:  Mol Cell       Date:  2015-07-23       Impact factor: 17.970

4.  Mood, stress and longevity: convergence on ANK3.

Authors:  S Rangaraju; D F Levey; K Nho; N Jain; K D Andrews; H Le-Niculescu; D R Salomon; A J Saykin; M Petrascheck; A B Niculescu
Journal:  Mol Psychiatry       Date:  2016-05-24       Impact factor: 15.992

5.  Epigenetic Markers of Aging Predict the Neural Oscillations Serving Selective Attention.

Authors:  Alex I Wiesman; Michael T Rezich; Jennifer O'Neill; Brenda Morsey; Tina Wang; Trey Ideker; Susan Swindells; Howard S Fox; Tony W Wilson
Journal:  Cereb Cortex       Date:  2020-03-14       Impact factor: 5.357

6.  Aging increases cell-to-cell transcriptional variability upon immune stimulation.

Authors:  Celia Pilar Martinez-Jimenez; Nils Eling; Hung-Chang Chen; Catalina A Vallejos; Aleksandra A Kolodziejczyk; Frances Connor; Lovorka Stojic; Timothy F Rayner; Michael J T Stubbington; Sarah A Teichmann; Maike de la Roche; John C Marioni; Duncan T Odom
Journal:  Science       Date:  2017-03-31       Impact factor: 47.728

7.  Widespread Proteome Remodeling and Aggregation in Aging C. elegans.

Authors:  Dirk M Walther; Prasad Kasturi; Min Zheng; Stefan Pinkert; Giulia Vecchi; Prajwal Ciryam; Richard I Morimoto; Christopher M Dobson; Michele Vendruscolo; Matthias Mann; F Ulrich Hartl
Journal:  Cell       Date:  2015-05-07       Impact factor: 41.582

8.  Adult mouse cortical cell taxonomy revealed by single cell transcriptomics.

Authors:  Bosiljka Tasic; Vilas Menon; Thuc Nghi Nguyen; Tae Kyung Kim; Tim Jarsky; Zizhen Yao; Boaz Levi; Lucas T Gray; Staci A Sorensen; Tim Dolbeare; Darren Bertagnolli; Jeff Goldy; Nadiya Shapovalova; Sheana Parry; Changkyu Lee; Kimberly Smith; Amy Bernard; Linda Madisen; Susan M Sunkin; Michael Hawrylycz; Christof Koch; Hongkui Zeng
Journal:  Nat Neurosci       Date:  2016-01-04       Impact factor: 24.884

9.  A universal transcriptomic signature of age reveals the temporal scaling of Caenorhabditis elegans aging trajectories.

Authors:  Andrei E Tarkhov; Ramani Alla; Srinivas Ayyadevara; Mikhail Pyatnitskiy; Leonid I Menshikov; Robert J Shmookler Reis; Peter O Fedichev
Journal:  Sci Rep       Date:  2019-05-14       Impact factor: 4.379

10.  Reversal of epigenetic aging and immunosenescent trends in humans.

Authors:  Gregory M Fahy; Robert T Brooke; James P Watson; Zinaida Good; Shreyas S Vasanawala; Holden Maecker; Michael D Leipold; David T S Lin; Michael S Kobor; Steve Horvath
Journal:  Aging Cell       Date:  2019-09-08       Impact factor: 9.304

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  1 in total

Review 1.  Evolution, Chance, and Aging.

Authors:  Stewart Frankel; Blanka Rogina
Journal:  Front Genet       Date:  2021-09-09       Impact factor: 4.599

  1 in total

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