The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Proteomics-based characterization of ribosome heterogeneity in adult mouse organs
Open accessPreprint — published as 10.1007/s00018-025-05708-7
Abstract
While long thought to be invariable in all cellular organisms, evidence has emerged that the translation process, i.e. protein assembly from mRNA sequence decoding, is regulated by variable features of the translation machinery. Notably, ribosomes, the functional units of protein synthesis, display variations in their composition, depending on the developmental stage, cell type or physiopathological context, thus providing a new level of actionable regulation of gene expression. Yet, a comprehensive map of the heterogeneity of ribosome composition in ribosomal proteins (RPs) in different organs and tissues is not available. In this work, we explored tissue-specific ribosome heterogeneity using mass spectrometry-based quantitative proteomic characterization of ribosomal fractions purified from 14 adult mouse organs and tissues. We performed crossed clustering and statistical analyses of RP composition to highlight stable, variable and tissue-specific RPs across organs and tissues. Focusing on specific RPs, we validated their relative abundance with a targeted proteomic approach, which gave further insight into the tissue-specific ribosome RP signature. Finally, we investigated the origin of RP variations in ribosome fraction of the different tissues, by comparing RP relative abundances in our proteomic dataset and in three independent transcriptomic datasets. Interestingly, we found that, in some tissues, the RP abundance in purified ribosomes does not always correlate with the corresponding RP transcript level, arguing for a translational regulation of RP expression, and/or a regulated incorporation of RPs into ribosomes. Altogether, our data support the notion of a tissue-specific RP signature of ribosomes, which opens avenues to study how specific ribosomal composition provides an additional level of regulation to control gene expression in different tissues and organs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1×
“Surprisingly, combined analyses of transcriptomes and proteomes in various physio-56 pathological conditions revealed that mRNA and protein levels generally show only a very partial correlation (10–14).”
Background
Flagged first, then by citations
Research works printed but not linked: 78
- 10.1016/j.cell.2013.02.014 · DOI
- 2019, Transcriptional Regulation: Molecules, Involved Mechanisms, and Misregulation, Int J Mol Sci, 20, 1281, 10.3390/ijms20061281 · DOI
- 10.1038/ng1089 · DOI · Paper page
- 10.1016/j.neuron · DOI
- 2023, A transcriptomic taxonomy of mouse brain-wide spinal projecting neurons, Nature, 624, 403, 10.1038/s41586-023-06817-8 · DOI
- 2017, Transcriptome Profiling in Human Diseases: New Advances and Perspectives, Int J Mol Sci, 18, 1652, 10.3390/ijms18081652 · DOI
- 2019, Single-cell transcriptomic analysis of Alzheimer’s disease, Nature, 570, 332, 10.1038/s41586-019-1195-2 · DOI · Paper page
- 10.1016/j.cell.2016.03.014 · DOI · Paper page
- 10.1038/nature22293 · DOI · Paper page
- 10.1038/nrg3185 · DOI · Paper page
- 10.1038/nature13319 · DOI · Paper page
- 10.1038/s41467-017-01422-6 · DOI · Paper page
- 10.15252/msb.20188503 · DOI · Paper page
- 2023, The transcription factor DUX4 orchestrates translational reprogramming by broadly suppressing translation efficiency and promoting expression of DUX4-induced mRNAs, PLoS Biol, 21, e3002317, 10.1371/journal.pbio.3002317 · DOI
- 10.1371/journal.pbio.3001856 · DOI
- 2020, OpenProt 2021: deeper functional annotation of the coding potential of eukaryotic genomes, Nucleic Acids Res, 49, D380
- 2021, Shedding Light on the Ghost Proteome, Trends in Biochemical Sciences, 46, 239, 10.1016/j.tibs.2020.10.003 · DOI
- 10.1073/pnas.1407205111 · DOI
- 10.1073/pnas.0804861105 · DOI
- 10.1126/science.289.5481.878 · DOI · Paper page
- 10.1016/j.molcel.2018.07.018 · DOI · Paper page
- Gay DM , Lund AH , Jansson MD . Translational control through ribosome heterogeneity and functional specialization. Trends in Biochemical Sciences [Internet]. 2021 Jul 23 [cited 2021 Jul 26];0(0). Available from: https://www.cell.com/trends/biochemical-sciences/abstract/S0968-0004(21)00144-4
- 10.1016/j.ajhg.2018.10.027 · DOI · Paper page
- 10.1182/hematology.2021000314 · DOI
- 10.1038/leu.2017.225 · DOI
- 10.1038/s41375-018-0176-z · DOI
- 10.1038/nature06494 · DOI
- 10.1073/pnas.1400247111 · DOI
- 2020, Ribosomal protein gene RPL9 variants can differentially impair ribosome function and cellular metabolism, Nucleic Acids Res, 48, 770, 10.1093/nar/gkz1042 · DOI
- 10.1371/journal.pbio.3002044 · DOI
- 10.1002/jcp.25294 · DOI
- 10.1016/j.cub.2017.04.017 · DOI
- 10.1016/j.cell.2007.08.037 · DOI
- 10.1016/j.molcel.2017.05.021 · DOI
- 10.1073/pnas.1216454109 · DOI
- 10.1016/j.cell.2011.03.028 · DOI
- 10.1038/nature14010 · DOI
- 10.1073/pnas.2117226119 · DOI
- 2015, Differential Stoichiometry among Core Ribosomal Proteins, Cell Reports, 13, 865, 10.1016/j.celrep.2015.09.056 · DOI
- 2020, Analyzing Ribosome Remodeling in Health and Disease, Proteomics, 20, e2000039
- 10.1126/science.1123835 · DOI
- 10.1371/journal.pone.0007147 · DOI
- 10.1016/j.ccr.2013.08.013 · DOI
- 10.1073/pnas.1707674114 · DOI
- Leppek K , Fujii K , Quade N , Susanto TT , Boehringer D , Lenarčič T , et al. Gene- and Species-Specific Hox mRNA Translation by Ribosome Expansion Segments. Molecular Cell [Internet]. 2020 Nov 16 [cited 2020 Nov 23]; Available from: http://www.sciencedirect.com/science/article/pii/S1097276520307309
- 2022, False-positive IRESes from Hoxa9 and other genes resulting from errors in mammalian 5′ UTR annotations, Proc Natl Acad Sci U S A, 119, e2122170119, 10.1073/pnas.2122170119 · DOI
- 10.1073/pnas.1912060116 · DOI
- 10.1261/rna.043653.113 · DOI
- 10.1186/s13059-016-1104-z · DOI
- 10.1038/s41586-022-05508-0 · DOI
- 2022, Identifying ribosome heterogeneity using ribosome profiling, Nucleic Acids Res, 50, e95, 10.1093/nar/gkac484 · DOI
- 2010, Purification of Ribosomes from Human Cell Lines, Current Protocols in Cell Biology, 49, 3.40.1
- 10.1139/o95-101 · DOI
- 2021, Ribosome heterogeneity in Drosophila melanogaster gonads through paralog-switching, Nucleic Acids Res, 50, 2240
- 10.1091/mbc.E19-02-0086 · DOI
- 10.1038/s41598-017-04520-z · DOI · Paper page
- 10.1038/nature13992 · DOI · Paper page
- 2018, Rise of the specialized onco-ribosomes, Oncotarget, 9, 35205, 10.18632/oncotarget.26231 · DOI
- 10.1016/j.cell.2017.05.022 · DOI · Paper page
- 10.1038/nrm3359 · DOI
- 10.1038/s41586-022-05638-5 · DOI
- 2013, The Ribosomal Protein Rpl22 Controls Ribosome Composition by Directly Repressing Expression of Its Own Paralog, Rpl22l1, PLOS Genetics, 9, e1003708, 10.1371/journal.pgen.1003708 · DOI
- 2023, RPL3L-containing ribosomes determine translation elongation dynamics required for cardiac function, Nat Commun, 14, 2131, 10.1038/s41467-023-37838-6 · DOI
- 2018, Functional interplay between ribosomal protein paralogues in the eRpL22 family in Drosophila melanogaster, Fly (Austin, 12, 143
- 10.1083/jcb.201706059 · DOI
- 2020, Differential expression of duplicated ribosomal protein genes modifies ribosome composition in response to stress, Nucleic Acids Res, 48, 1954, 10.1093/nar/gkz1183 · DOI
- 10.1002/wrna.1632 · DOI
- 2020, Tissue- and development-stage–specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples, Nucleic Acids Res, 48, 7079
- 10.1016/j.molcel.2009.03.006 · DOI
- 10.1186/1471-2164-7-37 · DOI
- 10.1016/S0079-6603(08)60193-2 · DOI
- 2019, On-Site Ribosome Remodeling by Locally Synthesized Ribosomal Proteins in Axons, Cell Reports, 29, 3605, 10.1016/j.celrep.2019.11.025 · DOI
- 10.1038/s41467-021-26365-x · DOI · Paper page
- 10.1021/acs.jproteome.6b00126 · DOI
- 10.1093/bioinformatics/btaa118 · DOI · Paper page
- 10.1093/bioinformatics/btw580 · DOI
- 10.1002/jcc.20084 · DOI
- 10.1093/nar/gky1106 · DOI
Metadata
- Authors
- Brunchault, M. R., Hesse, A.-M., Schaeffer, J., Decourt, C., Combes, F., Nawabi, H., Couté, Y., & Belin, S.
- Affiliations
- Inserm (FR)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Couté, Yohann
- ORCID
- Venue
- Cellular and Molecular Life Sciences
- Publisher
- openRxiv
- Published
- 2024-02-24
- Volume
- 82
- Issue
- 1
- Pages
- 175-175
- ISSN
- 1420-682X (ISSN-L)
- PMC
- PMC12022211
- OpenAlex
- W4409763838
- Cited by
- 15
- References
- 1
- Citations by year
- 2026: 8 · 2025: 6 · 2024: 1
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Cellular and Molecular Life Sciences (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- Funders
- Agence Nationale de la Recherche (ANR-10-INBS-0008, ANR-10-INBS-08, ANR-17-EURE-0003, ANR-17-EURE-, 10-INBS-08, ANR18, ANR-18-CE16-0007, ANR-17, ANR-10)
- Fondation pour la Recherche Médicale (ANR-17-EURE-0003, SPF201909009106)
- European Research Council (ERC-St17-759089)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Keywords
- ribosome heterogeneity, ribosomal proteins, translational regulation, mRNA levels, mouse organs, gene expression regulation
- MeSH terms
- Animals, Male, Mice, Inbred C57BL, Organ Specificity, Ribosomal Proteins, Ribosomes, Mass Spectrometry, Protein Biosynthesis, Proteome, Proteomics, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review