ReviewBriefings in bioinformatics2021
Dynamics of transcriptional and post-transcriptional regulation.
Review in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
What it found
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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
33 citing papers in PubMed, 50 citations in OpenAlex.
- Profound alterations of cancer transcriptomes by the RNase L inhibitor ABCE1 through the modulation of UU/UA-dinucleotide rich transcript abundance.RNA biology · 2026Article
- Polarization as a Process: The Potential of Process Ontology for Understanding Cellular Symmetry Breaking.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Transcriptional and functional profiles of muscarinic receptor-expressing neurons in primate lateral prefrontal and anterior cingulate cortices.Communications biology · 2026Article
- Unlocking Barley's Phosphorus Efficiency: The Emerging Role of RNA Processing in Low-Phosphorus Adaptation.Plants (Basel, Switzerland) · 2026Review
- Article
- Review
- RNA stability: a novel perspective on gene regulatory networks in bovine mastitis.BMC genomics · 2025Article
- Coupling mechanisms coordinating mRNA translation with stages of the mRNA lifecycle.RNA biology · 2025Review
- Biophysical constraints on mRNA decay rates shape macroevolutionary divergence in steady-state abundances.bioRxiv : the preprint server for biology · 2025Article
- Role of mEpigenomes · 2025Review
- KRT6A, KRT6B, PKP1, and PKP3 as key hub genes in esophageal cancer: A combined bioinformatics and experimental study.Biochemistry and biophysics reports · 2025Article
- RNADecayCafe, a uniformly processed atlas of RNA half-life estimates across multiple human cell lines.bioRxiv : the preprint server for biology · 2025Article
- RVINN: a flexible modeling for inferring dynamic transcriptional and post-transcriptional regulation using physics-informed neural networks.Bioinformatics (Oxford, England) · 2025Article
- hnRNPH1: A Multifaceted Regulator in RNA Processing and Disease Pathogenesis.International journal of molecular sciences · 2025Review
- Petri net modeling and simulation of post-transcriptional regulatory networks of human embryonic stem cell (hESC) differentiation to cardiomyocytes.Journal of integrative bioinformatics · 2025Article
- Review
- Nanodynamo quantifies subcellular RNA dynamics revealing extensive coupling between steps of the RNA life cycle.Nature communications · 2024Article
- Untranslated yet indispensable-UTRs act as key regulators in the environmental control of gene expression.Journal of experimental botany · 2024Review
- Gapless genome assembly and epigenetic profiles reveal gene regulation of whole-genome triplication in lettuce.GigaScience · 2024Article
- Alternative polyadenylation and dynamic 3' UTR length is associated with polysome recruitment throughout the cardiomyogenic differentiation of hESCs.Frontiers in molecular biosciences · 2024Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite gene expression programs being notoriously complex, RNA abundance is usually assumed as a proxy for transcriptional activity. Recently developed approaches, able to disentangle transcriptional and post-transcriptional regulatory processes, have revealed a more complex scenario. It is now possible to work out how synthesis, processing and degradation kinetic rates collectively determine the abundance of each gene's RNA. It has become clear that the same transcriptional output can correspond to different combinations of the kinetic rates. This underscores the fact that markedly different modes of gene expression regulation exist, each with profound effects on a gene's ability to modulate its own expression. This review describes the development of the experimental and computational approaches, including RNA metabolic labeling and mathematical modeling, that have been disclosing the mechanisms underlying complex transcriptional programs. Current limitations and future perspectives in the field are also discussed.
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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.