Literature DB >> 33859007

Comment on "Circadian rhythms in the absence of the clock gene Bmal1".

Elan Ness-Cohn1,2, Ravi Allada2,3, Rosemary Braun4,2,5,6.   

Abstract

Ray et al (Reports, 14 February 2020, p. 800) report apparent transcriptional circadian rhythms in mouse tissues lacking the core clock component BMAL1. To better understand these surprising results, we reanalyzed the associated data. We were unable to reproduce the original findings, nor could we identify reliably cycling genes. We conclude that there is insufficient evidence to support circadian transcriptional rhythms in the absence of Bmal1.
Copyright © 2021, American Association for the Advancement of Science.

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Year:  2021        PMID： 33859007      PMCID： PMC9172996          DOI： 10.1126/science.abe9230

Source DB:  PubMed          Journal:  Science        ISSN： 0036-8075            Impact factor:   63.714


  9 in total

1.  JTK_CYCLE: an efficient nonparametric algorithm for detecting rhythmic components in genome-scale data sets.

Authors:  Michael E Hughes; John B Hogenesch; Karl Kornacker
Journal:  J Biol Rhythms       Date:  2010-10       Impact factor: 3.182

2.  Progressive arthropathy in mice with a targeted disruption of the Mop3/Bmal-1 locus.

Authors:  Maureen K Bunger; Jacqueline A Walisser; Ruth Sullivan; Paul A Manley; Susan M Moran; Vicki L Kalscheur; Ricki J Colman; Christopher A Bradfield
Journal:  Genesis       Date:  2005-03       Impact factor: 2.487

3.  Circadian rhythms in the absence of the clock gene Bmal1.

Authors:  Sandipan Ray; Utham K Valekunja; Alessandra Stangherlin; Steven A Howell; Ambrosius P Snijders; Gopinath Damodaran; Akhilesh B Reddy
Journal:  Science       Date:  2020-02-14       Impact factor: 47.728

4.  Analyzing circadian expression data by harmonic regression based on autoregressive spectral estimation.

Authors:  Rendong Yang; Zhen Su
Journal:  Bioinformatics       Date:  2010-06-15       Impact factor: 6.937

5.  Emergence of noise-induced oscillations in the central circadian pacemaker.

Authors:  Caroline H Ko; Yujiro R Yamada; David K Welsh; Ethan D Buhr; Andrew C Liu; Eric E Zhang; Martin R Ralph; Steve A Kay; Daniel B Forger; Joseph S Takahashi
Journal:  PLoS Biol       Date:  2010-10-12       Impact factor: 8.029

6.  Bootstrapping and Empirical Bayes Methods Improve Rhythm Detection in Sparsely Sampled Data.

Authors:  Alan L Hutchison; Ravi Allada; Aaron R Dinner
Journal:  J Biol Rhythms       Date:  2018-08       Impact factor: 3.182

7.  Mop3 is an essential component of the master circadian pacemaker in mammals.

Authors:  M K Bunger; L D Wilsbacher; S M Moran; C Clendenin; L A Radcliffe; J B Hogenesch; M C Simon; J S Takahashi; C A Bradfield
Journal:  Cell       Date:  2000-12-22       Impact factor: 41.582

8.  Detecting rhythms in time series with RAIN.

Authors:  Paul F Thaben; Pål O Westermark
Journal:  J Biol Rhythms       Date:  2014-10-17       Impact factor: 3.182

9.  TimeTrial: An Interactive Application for Optimizing the Design and Analysis of Transcriptomic Time-Series Data in Circadian Biology Research.

Authors:  Elan Ness-Cohn; Marta Iwanaszko; William L Kath; Ravi Allada; Rosemary Braun
Journal:  J Biol Rhythms       Date:  2020-07-02       Impact factor: 3.182
  9 in total
  3 in total

Review 1.  A time to heal: microRNA and circadian dynamics in cutaneous wound repair.

Authors:  Sandra Fawcett; Raida Al Kassas; Iain M Dykes; Alun Tl Hughes; Fawaz Ghali; Kehinde Ross
Journal:  Clin Sci (Lond)       Date:  2022-04-29       Impact factor: 6.876

2.  Frontiers in Chronobiology: Endogenous Clocks at the Core of Signaling Pathways in Physiology.

Authors:  Rodolfo Costa
Journal:  Front Physiol       Date:  2021-05-20       Impact factor: 4.566

3.  TimeCycle: Topology Inspired MEthod for the Detection of Cycling Transcripts in Circadian Time-Series Data.

Authors:  Elan Ness-Cohn; Rosemary Braun
Journal:  Bioinformatics       Date:  2021-06-27       Impact factor: 6.937
  3 in total

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