ArticleBMC genomics2008
Dissecting microregulation of a master regulatory network.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 44 citations in OpenAlex.
- Evaluation of Epigenetic and Radiomodifying Effects during Radiotherapy Treatments in Zebrafish.International journal of molecular sciences · 2021Review
- miR-151a enhances Slug dependent angiogenesis.Oncotarget · 2020Article
- Mutant p53 increases exosome-mediated transfer of miR-21-3p and miR-769-3p to promote pulmonary metastasis.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019Article
- Article
- Comprehensive Expression Profiling and Functional Network Analysis of Porphyra-334, One Mycosporine-Like Amino Acid (MAA), in Human Keratinocyte Exposed with UV-radiation.Marine drugs · 2017Article
- CerS6 Is a Novel Transcriptional Target of p53 Protein Activated by Non-genotoxic Stress.The Journal of biological chemistry · 2016Article
- KLK6-regulated miRNA networks activate oncogenic pathways in breast cancer subtypes.Molecular oncology · 2016Article
- miR-30e controls DNA damage-induced stress responses by modulating expression of the CDK inhibitor p21WAF1/CIP1 and caspase-3.Oncotarget · 2016Article
- Using graphical adaptive lasso approach to construct transcription factor and microRNA's combinatorial regulatory network in breast cancer.IET systems biology · 2014Article
- Identification of new p53 target microRNAs by bioinformatics and functional analysis.BMC cancer · 2013Article
- Transcription poisoning by Topoisomerase I is controlled by gene length, splice sites, and miR-142-3p.Cancer research · 2013Article
- Article
- Efficient computation of minimal perturbation sets in gene regulatory networks.Frontiers in physiology · 2013Article
- Article
- MiR-125 in normal and malignant hematopoiesis.Leukemia · 2012Review
- Integrated microRNA and mRNA expression profiling in a rat colon carcinogenesis model: effect of a chemo-protective diet.Physiological genomics · 2011Article
- A curated database of miRNA mediated feed-forward loops involving MYC as master regulator.PloS one · 2011Article
- RETRACTED: Downregulation of p53-inducible microRNAs 192, 194, and 215 impairs the p53/MDM2 autoregulatory loop in multiple myeloma development.Cancer cell · 2010Article
- CircuitsDB: a database of mixed microRNA/transcription factor feed-forward regulatory circuits in human and mouse.BMC bioinformatics · 2010Article
- Zebrafish models of p53 functions.Cold Spring Harbor perspectives in biology · 2010Review
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 at 3 institutions in 1 country.
Funding
Abstract
backgroundThe master regulator p53 tumor-suppressor protein through coordination of several downstream target genes and upstream transcription factors controls many pathways important for tumor suppression. While it has been reported that some of the p53's functions are microRNA-mediated, it is not known as to how many other microRNAs might contribute to the p53-mediated tumorigenesis.
resultsHere, we use bioinformatics-based integrative approach to identify and prioritize putative p53-regulated miRNAs, and unravel the miRNA-based microregulation of the p53 master regulatory network. Specifically, we identify putative microRNA regulators of a) transcription factors that are upstream or downstream to p53 and b) p53 interactants. The putative p53-miRs and their targets are prioritized using current knowledge of cancer biology and literature-reported cancer-miRNAs.
conclusionOur predicted p53-miRNA-gene networks strongly suggest that coordinated transcriptional and p53-miR mediated networks could be integral to tumorigenesis and the underlying processes and pathways.
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.