Literature DB >> 15817298

Molecular and statistical tools for circadian transcript profiling.

Herman Wijnen1, Felix Naef, Michael W Young.   

Abstract

This article describes methods used to evaluate mRNA expression patterns on microarrays and their application in circadian biology. With the intention of complementing rather than duplicating the existing literature, particular emphasis is placed on experimental design, data analysis techniques, and independent verification. Both comparative and temporal study designs are discussed, and their use in circadian research is illustrated with examples. Data analysis methods to assess periodic components in time series data are outlined in detail.

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Year:  2005        PMID: 15817298     DOI: 10.1016/S0076-6879(05)93015-2

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  30 in total

Review 1.  Circadian mRNA expression: insights from modeling and transcriptomics.

Authors:  Sarah Lück; Pål O Westermark
Journal:  Cell Mol Life Sci       Date:  2015-10-26       Impact factor: 9.261

2.  Nascent-Seq analysis of Drosophila cycling gene expression.

Authors:  Joseph Rodriguez; Chih-Hang Anthony Tang; Yevgenia L Khodor; Sadanand Vodala; Jerome S Menet; Michael Rosbash
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-07       Impact factor: 11.205

3.  Improved automated monitoring and new analysis algorithm for circadian phototaxis rhythms in Chlamydomonas.

Authors:  Christa Gaskill; Jennifer Forbes-Stovall; Bruce Kessler; Mike Young; Claire A Rinehart; Sigrid Jacobshagen
Journal:  Plant Physiol Biochem       Date:  2010-01-21       Impact factor: 4.270

4.  A master CLOCK hard at work brings rhythm to the transcriptome.

Authors:  Isaac Edery
Journal:  Genes Dev       Date:  2011-11-15       Impact factor: 11.361

5.  Exploring the transcriptional landscape of plant circadian rhythms using genome tiling arrays.

Authors:  Samuel P Hazen; Felix Naef; Tom Quisel; Joshua M Gendron; Huaming Chen; Joseph R Ecker; Justin O Borevitz; Steve A Kay
Journal:  Genome Biol       Date:  2009-02-11       Impact factor: 13.583

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.  Drosophila CLOCK target gene characterization: implications for circadian tissue-specific gene expression.

Authors:  Katharine Compton Abruzzi; Joseph Rodriguez; Jerome S Menet; Jennifer Desrochers; Abigail Zadina; Weifei Luo; Sasha Tkachev; Michael Rosbash
Journal:  Genes Dev       Date:  2011-11-15       Impact factor: 11.361

8.  The transcription factor Mef2 links the Drosophila core clock to Fas2, neuronal morphology, and circadian behavior.

Authors:  Anna Sivachenko; Yue Li; Katharine C Abruzzi; Michael Rosbash
Journal:  Neuron       Date:  2013-07-24       Impact factor: 17.173

9.  Selective entrainment of the Drosophila circadian clock to daily gradients in environmental temperature.

Authors:  Jake Currie; Tadahiro Goda; Herman Wijnen
Journal:  BMC Biol       Date:  2009-08-11       Impact factor: 7.431

10.  Nascent-Seq reveals novel features of mouse circadian transcriptional regulation.

Authors:  Jerome S Menet; Joseph Rodriguez; Katharine C Abruzzi; Michael Rosbash
Journal:  Elife       Date:  2012-11-13       Impact factor: 8.140

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