ArticleCell systems2015
Transcription Factor Activity Mapping of a Tissue-Specific
Article in Cell systems, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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
55 citing papers in PubMed, 80 citations in OpenAlex.
- Regulation of hlh-2 transcription during specification of the anchor cell of the C. elegans hermaphrodite gonad.G3 (Bethesda, Md.) · 2026Article
- Circadian-shaped immune variability predicts infection outcome.Science advances · 2026Article
- Maternal circadian rhythm writes immune fate in offspring.Journal of biosciences · 2026Article
- A comparison of computational methods for expression forecasting.Genome biology · 2025Article
- A default silencing mechanism restrains stress-induced genes inbioRxiv : the preprint server for biology · 2025Article
- Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq.Nature communications · 2025Article
- Article
- CelEst: a unified gene regulatory network for estimating transcription factor activities in C. elegans.Genetics · 2025Article
- Worm Perturb-Seq: massively parallel whole-animal RNAi and RNA-seq.bioRxiv : the preprint server for biology · 2025Article
- Unzipping the defense: a comprehensive review on bZIP transcription factors inFrontiers in cellular and infection microbiology · 2025Review
- Analysis ofComputational and structural biotechnology journal · 2024Article
- Tissue distribution of cysteine string protein/DNAJC5 in C. elegans analysed by CRISPR/Cas9-mediated tagging of endogenous DNJ-14.Cell and tissue research · 2024Article
- Article
- Transcriptional suppression of sphingolipid catabolism controls pathogen resistance in C. elegans.PLoS pathogens · 2023Article
- A transcriptional cofactor regulatory network for the C. elegans intestine.G3 (Bethesda, Md.) · 2023Article
- Mediator subunit MDT-15 promotes expression of propionic acid breakdown genes to prevent embryonic lethality in Caenorhabditis elegans.G3 (Bethesda, Md.) · 2023Article
- Systems-level transcriptional regulation of Caenorhabditis elegans metabolism.Molecular systems biology · 2023Article
- Article
- Transcription factors regulating the fate and developmental potential of a multipotent progenitor in Caenorhabditis elegans.G3 (Bethesda, Md.) · 2022Article
- A pals-25 gain-of-function allele triggers systemic resistance against natural pathogens of C. elegans.PLoS genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
A wealth of physical interaction data between transcription factors (TFs) and DNA has been generated, but these interactions often do not have apparent regulatory consequences. Thus, equating physical interaction data with gene regulatory networks (GRNs) is problematic. Here, we comprehensively assay TF activity, rather than binding, to construct a network of gene regulatory interactions in the
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.