ReviewBioEssays : news and reviews in molecular, cellular and developmental biology2010
Deciphering the genome's regulatory code: the many languages of DNA.
Review in BioEssays : news and reviews in molecular, cellular and developmental biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- A New Family-Based Approach for Detecting Allele-Specific Expression and for Mapping Possible eQTLs.Animals : an open access journal from MDPI · 2025Article
- Targeting Epigenetic Changes Mediated by Members of the SMYD Family of Lysine Methyltransferases.Molecules (Basel, Switzerland) · 2023Review
- A combinatorial cis-regulatory logic restricts color-sensing Rhodopsins to specific photoreceptor subsets in Drosophila.PLoS genetics · 2021Article
- What Cyto- and Histochemistry Can Do to Crack the Sugar Code.Acta histochemica et cytochemica · 2021Review
- Characterization of cis-regulatory elements for Fgf10 expression in the chick embryo.Developmental dynamics : an official publication of the American Association of Anatomists · 2018Article
- Genome-wide analyses of Shavenbaby target genes reveals distinct features of enhancer organization.Genome biology · 2013Article
- SPIC: a novel similarity metric for comparing transcription factor binding site motifs based on information contents.BMC systems biology · 2013Article
- Initial deployment of the cardiogenic gene regulatory network in the basal chordate, Ciona intestinalis.Developmental biology · 2012Article
- Transcriptional regulation of rod photoreceptor homeostasis revealed by in vivo NRL targetome analysis.PLoS genetics · 2012Article
- Article
- You Don't Muck with MYC.Genes & cancer · 2010Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The generation of patterns and the diversity of cell types in a multicellular organism require differential gene regulation. At the heart of this process are enhancers or cis-regulatory modules (CRMs), genomic regions that are bound by transcription factors (TFs) that control spatio-temporal gene expression in developmental networks. To date, only a few CRMs have been studied in detail and the underlying cis-regulatory code is not well understood. Here, we review recent progress on the genome-wide identification of CRMs with chromatin immunoprecipitation of TF-DNA complexes followed by microarrays (ChIP-on-chip). We focus on two computational approaches that have succeeded in predicting the expression pattern driven by a CRM either based on TF binding site preferences and their expression levels, or quantitative analysis of CRM occupancy by key TFs. We also discuss the current limits of these methods and highlight some of the key problems that have to be solved to gain a more complete understanding of the structure and function of CRMs.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.