Polysome-profiling in small tissue samples
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Abstract
Polysome-profiling is commonly used to study translatomes and applies laborious extraction of efficiently translated mRNA (associated with >3 ribosomes) from a large volume across many fractions. This property makes polysome-profiling inconvenient for larger experimental designs or samples with low RNA amounts. To address this, we optimized a non-linear sucrose gradient which reproducibly enriches for efficiently translated mRNA in only one or two fractions, thereby reducing sample handling 5-10-fold. The technique generates polysome-associated RNA with a quality reflecting the starting material and, when coupled with smart-seq2 single-cell RNA sequencing, translatomes in small tissues from biobanks can be obtained. Translatomes acquired using optimized non-linear gradients resemble those obtained with the standard approach employing linear gradients. Polysome-profiling using optimized non-linear gradients in serum starved HCT-116 cells with or without p53 showed that p53 status associates with changes in mRNA abundance and translational efficiency leading to changes in protein levels. Moreover, p53 status also induced translational buffering whereby changes in mRNA levels are buffered at the level of mRNA translation. Thus, here we present a polysome-profiling technique applicable to large study designs, primary cells and frozen tissue samples such as those collected in biobanks.
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- Authors
- Liang, S., Bellato, H. M., Lorent, J., Lupinacci, F. C. S., Oertlin, C., van Hoef, V., Andrade, V. P., Roffé, M., Masvidal, L., Hajj, G. N. M., & Larsson, O.
- Affiliations
- Science for Life Laboratory (SE)
- AC Camargo Hospital (BR)
- Corresponding author
- Hajj, Glaucia N M
- Larsson, Ola
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-10-23
- Volume
- 46
- Issue
- 1
- Pages
- e3-e3
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- PMC
- PMC5758873
- OpenAlex
- W2950337279
- Cited by
- 78
- References
- 5
- Citations by year
- 2026: 8 · 2025: 11 · 2024: 6 · 2023: 14 · 2022: 8 · 2021: 5 · 2020: 17 · 2019: 5 · 2018: 4
- FWCI
- 2.91
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nucleic Acids Research (publishedVersion, cc-by-nc)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- Swedish Foundation for International Cooperation in Research and Higher Education
- Fundação de Amparo à Pesquisa do Estado de São Paulo (15/15451-3, 2014/, 14/15550-9, 2015/)
- Cancerfonden
- Knut och Alice Wallenbergs Stiftelse
- Vetenskapsrådet
- Barncancerfonden
- Cancerföreningen i Stockholm
- Science for Life Laboratory
- Uppsala Multidisciplinary Center for Advanced Computational Science
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- polysome profiling, translatome, ribosome-associated mRNA, small tissue samples, biobank samples, single-cell RNA sequencing, SmartSeq2, p53, translation efficiency, HCT116 cells, primary cells
- MeSH terms
- Breast Neoplasms, Female, Humans, Mutation, Polyribosomes, Ribosomes, RNA, Messenger, Protein Biosynthesis, Tumor Suppressor Protein p53, Sequence Analysis, RNA, HCT116 Cells, MCF-7 Cells
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