ReviewScience (New York, N.Y.)2009
Transcriptional regulatory circuits: predicting numbers from alphabets.
Review in Science (New York, N.Y.), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 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
101 citing papers in PubMed.
- Exercise modulation of the alternative splicing landscape in human tissues.bioRxiv : the preprint server for biology · 2026Article
- Bifunctional transcriptional effector domains control gene expression pulses in an occupancy-dependent manner.bioRxiv : the preprint server for biology · 2025Article
- Integrated single-cell multiome analysis reveals muscle fiber-type gene regulatory circuitry modulated by endurance exercise.Genome research · 2025Article
- Perspective on recent developments and challenges in regulatory and systems genomics.Bioinformatics advances · 2025Review
- Peak-agnostic high-resolution cis-regulatory circuitry mapping using single cell multiome data.Nucleic acids research · 2024Article
- Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data.Nature computational science · 2023Article
- Mapping the splicing landscape of the human immune system.Frontiers in immunology · 2023Article
- Transcriptional Plasticity Drives Leukemia Immune Escape.Blood cancer discovery · 2022Article
- A novel approach GRNTSTE to reconstruct gene regulatory interactions applied to a case study for rat pineal rhythm gene.Scientific reports · 2022Article
- Article
- Enabling Studies of Genome-Scale Regulatory Network Evolution in Large Phylogenies with MRTLE.Methods in molecular biology (Clifton, N.J.) · 2022Article
- ImmReg: the regulon atlas of immune-related pathways across cancer types.Nucleic acids research · 2021Article
- Elimination of oxidative stress and genotoxicity of biosynthesized titanium dioxide nanoparticles in rats via supplementation with whey protein-coated thyme essential oil.Environmental science and pollution research international · 2021Article
- Article
- Joint single-cell measurements of nuclear proteins and RNA in vivo.Nature methods · 2021Article
- Identifying the combinatorial control of signal-dependent transcription factors.PLoS computational biology · 2021Article
- Data integration for inferring context-specific gene regulatory networks.Current opinion in systems biology · 2020Article
- LogicNet: probabilistic continuous logics in reconstructing gene regulatory networks.BMC bioinformatics · 2020Article
- Chemical chaperones reverse early suppression of regulatory circuits during unfolded protein response in B cells from common variable immunodeficiency patients.Clinical and experimental immunology · 2020Article
- Dynamic network inference and association computation discover gene modules regulating virulence, mycotoxin and sexual reproduction in Fusarium graminearum.BMC genomics · 2020Article
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Transcriptional regulatory circuits govern how cis and trans factors transform signals into messenger RNA (mRNA) expression levels. With advances in quantitative and high-throughput technologies that allow measurement of gene expression state in different conditions, data that can be used to build and test models of transcriptional regulation is being generated at a rapid pace. Here, we review experimental and computational methods used to derive detailed quantitative circuit models on a small scale and cruder, genome-wide models on a large scale. We discuss the potential of combining small- and large-scale approaches to understand the working and wiring of transcriptional regulatory circuits.
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.