ReviewGenome biology2004
Identifying transcriptional targets.
Review in Genome biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Dynamic heterogeneity in an E. coli stress response regulon mediates gene activation and antimicrobial peptide tolerance.Cell reports · 2026Article
- Targeting bacterial transcription factors for infection control: opportunities and challenges.Transcription · 2025Review
- Measuring FOXO Activity by Using qPCR-Based Expression Analysis of FOXO Target Genes.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Gene regulatory networks in disease and ageing.Nature reviews. Nephrology · 2024Review
- A variegated model of transcription factor function in the immune system.Trends in immunology · 2023Review
- Transcriptomic Analysis of Resistant and Wild-Type Isolates Revealed Fludioxonil as a Candidate for Controlling the Emerging Isoprothiolane Resistant Populations ofFrontiers in microbiology · 2022Article
- Transcription factor HIF1A: downstream targets, associated pathways, polymorphic hypoxia response element (HRE) sites, and initiative for standardization of reporting in scientific literature.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- NAC transcription factors in plant multiple abiotic stress responses: progress and prospects.Frontiers in plant science · 2015Article
- CREB is a positive transcriptional regulator of gamma interferon in latent but not active tuberculosis infections.Clinical and vaccine immunology : CVI · 2010Article
- An algorithm for identifying novel targets of transcription factor families: application to hypoxia-inducible factor 1 targets.Cancer informatics · 2009Article
- Transcriptional regulators of seven yeast species: comparative genome analysis. Review.Folia microbiologica · 2008Review
- Fine-tuning enhancer models to predict transcriptional targets across multiple genomes.PloS one · 2007Article
- Mapping the genome landscape using tiling array technology.Current opinion in plant biology · 2007Review
- Zebrafish promoter microarrays identify actively transcribed embryonic genes.Genome biology · 2006Article
- CpG Island microarray probe sequences derived from a physical library are representative of CpG Islands annotated on the human genome.Nucleic acids research · 2005Article
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
Identifying the targets of transcription factors is important for understanding cellular processes. We review how targets have previously been isolated and outline new technologies that are being developed to identify novel direct targets, including chromatin immunoprecipitation combined with microarray screening and bioinformatic approaches.
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.