ArticleeLife2018
Efficient analysis of mammalian polysomes in cells and tissues using Ribo Mega-SEC.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed.
- Allele-resolved monosome and polysome sequencing identifies cis-variants affecting mRNA translation.Life science alliance · 2026Article
- Ribosome heterogeneity and specialization in musculoskeletal physiology and pathology.JBMR plus · 2026Article
- QuAPPro: an R shiny app for quantification and alignment of polysome profiles.BMC bioinformatics · 2026Article
- Circuitous Ways of EWS::FLI1 Using Circular RNA ZNF609 to Evade Translational Repression by miR-145 in Ewing's Sarcoma.Biomedicines · 2026Article
- SF3B1-mutant models of RNA mis-splicing uncover UBA1 as a therapeutic target in myelodysplastic neoplasms.Leukemia · 2025Article
- Structures of Saccharolobus solfataricus initiation complexes with leaderless mRNAs highlight archaeal features and eukaryotic proximity.Nature communications · 2025Article
- RAPIDASH: Tag-free enrichment of ribosome-associated proteins reveals composition dynamics in embryonic tissue, cancer cells, and macrophages.Molecular cell · 2024Article
- Calmodulin Triggers Activity-Dependent rRNA Biogenesis via Interaction with DDX21.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Dynamic changes in RNA mCellular and molecular life sciences : CMLS · 2024Article
- A multiomics dataset for the study of RNA modifications in human macrophage differentiation and polarisation.Scientific data · 2024Article
- Article
- An allele-selective inter-chromosomal protein bridge supports monogenic antigen expression in the African trypanosome.Nature communications · 2023Article
- RAPIDASH: A tag-free enrichment of ribosome-associated proteins reveals compositional dynamics in embryonic tissues and stimulated macrophages.bioRxiv : the preprint server for biology · 2023Article
- Identifying N6-Methyladenosine Sites in HepG2 Cell Lines Using Oxford Nanopore Technology.International journal of molecular sciences · 2023Article
- The Phytophthora nucleolar effector Pi23226 targets host ribosome biogenesis to induce necrotrophic cell death.Plant communications · 2023Article
- Length-Dependent Translation Efficiency of ER-Destined Proteins.Current issues in molecular biology · 2023Article
- Overexpression of VIRMA confers vulnerability to breast cancers via the mCellular and molecular life sciences : CMLS · 2023Article
- Rapid Profiling of Protein Complex Reorganization in Perturbed Systems.Journal of proteome research · 2023Article
- TIAR and FMRP shape pro-survival nascent proteome of leukemia cells in the bone marrow microenvironment.iScience · 2023Article
- The eukaryotic translation initiation factor eIF4E reprograms alternative splicing.The EMBO journal · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
We describe Ribo Mega-SEC, a powerful approach for the separation and biochemical analysis of mammalian polysomes and ribosomal subunits using Size Exclusion Chromatography and uHPLC. Using extracts from either cells, or tissues, polysomes can be separated within 15 min from sample injection to fraction collection. Ribo Mega-SEC shows translating ribosomes exist predominantly in polysome complexes in human cell lines and mouse liver tissue. Changes in polysomes are easily quantified between treatments, such as the cellular response to amino acid starvation. Ribo Mega-SEC is shown to provide an efficient, convenient and highly reproducible method for studying functional translation complexes. We show that Ribo Mega-SEC is readily combined with high-throughput MS-based proteomics to characterize proteins associated with polysomes and ribosomal subunits. It also facilitates isolation of complexes for electron microscopy and structural studies.
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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.