The DOI matches its Crossref record; 80 of the 80 references it cites were found in a registry or an index.
Transcriptional Architecture and Chromatin Landscape of the Core Circadian Clock in Mammals
Open accessAbstract
Transcription Around the Clock: The biological clock that controls daily rhythms in mammalian physiology and behavior is thought to be regulated in large part by transcriptional events (see the Perspective by Doherty and Kay ). Koike et al. (p. 349 ; published online 30 August) produced a comprehensive analysis of these transcriptional events across the entire mouse liver genome over a 24-hour period. Only ∼22% of cycling messenger RNA transcripts were driven by de novo transcription, suggesting that posttranscriptional events also play an important regulatory role in the mammalian clock. Biological timing in organisms can also respond to rhythmic cues from the environment. Morf et al. (p. 379 , published online 23 August) explored how one such cue, cycles in ambient temperature, influence circadian timing in mammalian cells. Cold-inducible RNA–binding protein (CIRP) accumulates when body temperature is low. A systematic search for binding partners of CIRP identified RNA encoding core components of the circadian clock. Loss of CIRP decreased the amplitude of circadian gene expression and cells lacking CIRP adapted more quickly to temperature cycles.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In the livers of WT mice, BMAL1/CLOCK transcriptional activity is low at ZT2 and 18 but peaks at ZT6 (Koike et al., 2012)”
From Circadian Homeostasis of Liver Metabolism Suppresses Hepatocarcinogenesis (2016) · cites this paper as Koike et al., 2012
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
The Human Genome Browser at UCSC
Kent, W. J., Sugnet, C. W., Furey, T. S., Roskin, K. M., Pringle, T. H., Zahler, A. M., & Haussler, A. D. (2002) · Genome Research · doi:10.1101/gr.229102 · Cited by 10,400
High-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
Histone H3K27ac separates active from poised enhancers and predicts developmental state
Creyghton, M. P., Cheng, A. W., Welstead, G. G., Kooistra, T., Carey, B. W., Steine, E. J., Hanna, J., Lodato, M. A., Frampton, G. M., Sharp, P. A., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016071107 · Cited by 4,302
The Role of Chromatin during Transcription
Li, B., Carey, M., & Workman, J. L. (2007) · Cell · doi:10.1016/j.cell.2007.01.015 · Cited by 3,503
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398
Cited by
Sorted by citations
Transcriptional architecture of the mammalian circadian clock
Takahashi, J. S. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.150 · Cited by 2,786
Self-citationA circadian gene expression atlas in mammals: Implications for biology and medicine
Zhang, R., Lahens, N. F., Ballance, H. I., Hughes, M. E., & Hogenesch, J. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408886111 · Cited by 2,304
Post-transcriptional gene regulation by mRNA modifications
Zhao, B. S., Roundtree, I. A., & He, C. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.132 · Cited by 2,469
Molecular architecture of the mammalian circadian clock
Partch, C. L., Green, C. B., & Takahashi, J. S. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2013.07.002 · Cited by 1,449
Self-citationMolecular mechanisms and physiological importance of circadian rhythms
Patke, A., Young, M. W., & Axelrod, S. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0179-2 · Cited by 1,388
Metadata
- Authors
- Koike, N., Yoo, S.-H., Huang, H.-C., Kumar, V., Lee, C., Kim, T.-K., & Takahashi, J. S.
- Affiliations
- The University of Texas Southwestern Medical Center (US)
- Florida State University (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Takahashi, Joseph S.
- Venue
- Science
- Published
- 2012-10-19
- Volume
- 338
- Issue
- 6105
- Pages
- 349-354
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC3694775
- OpenAlex
- W2091531174
- Cited by
- 1,464
- References
- 80
- Citations by year
- 2026: 72 · 2025: 99 · 2024: 93 · 2023: 97 · 2022: 121 · 2021: 112 · 2020: 158 · 2019: 105 · 2018: 109 · 2017: 97 · 2016: 111 · 2015: 102 · 2014: 102 · 2013: 72 · 2012: 13
- FWCI
- 41.23
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Open Access System for Information Sharing (Pohang University of Science and Technology) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute on Drug Abuse (F32DA024556)
- National Institute of Neurological Disorders and Stroke (R01NS053616)
- Topics
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
- Keywords
- circadian clock, transcriptional feedback loop, clocks, Bmal1, period gene, RNA polymerase II recruitment, chromatin remodeling, transcription factor binding, de novo transcription, post-transcriptional regulation, mouse liver, chromatin state
- MeSH terms
- Animals, Chromatin, Enhancer Elements, Genetic, Histones, Liver, Male, Mice, Inbred C57BL, RNA Polymerase II, RNA, Messenger, Transcription, Genetic, Transcriptional Activation, Gene Expression Profiling, DNA, Intergenic, Chromatin Assembly and Disassembly, Epigenesis, Genetic, Mice, Genetic Loci, CLOCK Proteins, ARNTL Transcription Factors, Cryptochromes, Period Circadian Proteins, Circadian Clocks
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review