ReviewThe Biochemical journal2004
Charting gene regulatory networks: strategies, challenges and perspectives.
Review in The Biochemical journal, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Multi-omics dissection of FOXA1 reveals cancer-type-specific transcriptional networks and functional risk variants.iScience · 2026Article
- Integrated Omics and Multicohort Analyses Identify an Enhancer Variant Linking Ferroptosis to Precision Therapy in Prostate Cancer.Cancer research · 2025Article
- Enhancer transcription profiling reveals an enhancer RNA-driven ferroptosis and new therapeutic opportunities in prostate cancer.Signal transduction and targeted therapy · 2025Article
- Extensive germline-somatic interplay contributes to prostate cancer progression through HNF1B co-option of TMPRSS2-ERG.Nature communications · 2022Article
- Review
- Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges.International journal of biological sciences · 2018Review
- Genomic Insight into the Role of lncRNA in Cancer Susceptibility.International journal of molecular sciences · 2017Review
- Transcription profile of Escherichia coli: genomic SELEX search for regulatory targets of transcription factors.Nucleic acids research · 2016Article
- Prokaryotic genome regulation: a revolutionary paradigm.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2012Review
- Protoplast mutation and genome shuffling induce the endophytic fungus Tubercularia sp. TF5 to produce new compounds.Current microbiology · 2010Article
- Gene expression and regulation of higher plants under soil water stress.Current genomics · 2009Article
- Unravelling the world of cis-regulatory elements.Medical & biological engineering & computing · 2007Review
- Data mining through simulation.Methods in molecular biology (Clifton, N.J.) · 2007Review
- Isolation of plant transcription factors using a modified yeast one-hybrid system.Plant methods · 2006Article
- Genomes, phylogeny, and evolutionary systems biology.Proceedings of the National Academy of Sciences of the United States of America · 2005Review
- Functional Annotation: extracting functional and regulatory order from microarrays.Molecular systems biology · 2005Article
- Decoding human regulatory circuits.Genome research · 2004Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One of the foremost challenges in the post-genomic era will be to chart the gene regulatory networks of cells, including aspects such as genome annotation, identification of cis-regulatory elements and transcription factors, information on protein-DNA and protein-protein interactions, and data mining and integration. Some of these broad sets of data have already been assembled for building networks of gene regulation. Even though these datasets are still far from comprehensive, and the approach faces many important and difficult challenges, some strategies have begun to make connections between disparate regulatory events and to foster new hypotheses. In this article we review several different genomics and proteomics technologies, and present bioinformatics methods for exploring these data in order to make novel discoveries.
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.