ReviewBiomedicines2024
Decoding Ribosome Heterogeneity: A New Horizon in Cancer Therapy.
Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- The role of RNA modifications in cancer translational control.RNA biology · 2026Review
- TRMT112 drives a tumor growth and metastasis-promoting program in triple-negative breast cancer.Cell death and differentiation · 2026Article
- Compartment-Specific CD138 Expression Defines an Aggressive Breast Cancer Phenotype with Distinct Transcriptomic Features.Cancers · 2026Article
- Ribosome heterogeneity and specialization in musculoskeletal physiology and pathology.JBMR plus · 2026Article
- Collision-induced ribosome degradation driven by ribosome competition and translational perturbations.Nature communications · 2025Article
- Evolution of ribosome X-ray crystallography: from first crystals to atomic resolution.Biophysical reviews · 2025Review
- Extra-Ribosomal Roles for Ribosomal Proteins and Their Relevance to Tumour Suppression, Carcinogenesis and Cancer Progression.Cancers · 2025Review
- Small nucleolar RNAs: the hidden precursors of cancer ribosomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Exploring the roles of snoRNA-induced ribosome heterogeneity in equine osteoarthritis.Frontiers in veterinary science · 2025Article
- Review
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
The traditional perception of ribosomes as uniform molecular machines has been revolutionized by recent discoveries, revealing a complex landscape of ribosomal heterogeneity. Opposing the conventional belief in interchangeable ribosomal entities, emerging studies underscore the existence of specialized ribosomes, each possessing unique compositions and functions. Factors such as cellular and tissue specificity, developmental and physiological states, and external stimuli, including circadian rhythms, significantly influence ribosome compositions. For instance, muscle cells and neurons are characterized by distinct ribosomal protein sets and dynamic behaviors, respectively. Furthermore, alternative forms of ribosomal RNA (rRNAs) and their post-transcriptional modifications add another dimension to this heterogeneity. These variations, orchestrated by spatial, temporal, and conditional factors, enable the manifestation of a broad spectrum of specialized ribosomes, each tailored for potentially distinct functions. Such specialization not only impacts mRNA translation and gene expression but also holds significant implications for broader biological contexts, notably in the realm of cancer research. As the understanding of ribosomal diversity deepens, it also paves the way for exploring novel avenues in cellular function and offers a fresh perspective on the molecular intricacies of translation.
Indexed as
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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.