Abstract
Many unannotated microproteins and alternative proteins (alt-proteins) are coencoded with canonical proteins, but few of their functions are known. Motivated by the hypothesis that alt-proteins undergoing regulated synthesis could play important cellular roles, we developed a chemoproteomic pipeline to identify nascent alt-proteins in human cells. We identified 22 actively translated alt-proteins or N-terminal extensions, one of which is post-transcriptionally upregulated by DNA damage stress. We further defined a nucleolar, cell-cycle-regulated alt-protein that negatively regulates assembly of the pre-60S ribosomal subunit (MINAS-60). Depletion of MINAS-60 increases the amount of cytoplasmic 60S ribosomal subunit, upregulating global protein synthesis and cell proliferation. Mechanistically, MINAS-60 represses the rate of late-stage pre-60S assembly and export to the cytoplasm. Together, these results implicate MINAS-60 as a potential checkpoint inhibitor of pre-60S assembly and demonstrate that chemoproteomics enables hypothesis generation for uncharacterized alt-proteins.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$29.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Data availability
Proteomic data are publicly available in ProteomeXchange under accession number PXD026880. Source data are provided with this paper.
Code availability
All custom code for alt-protein and microprotein identification and database construction are available at Zenodo (https://doi.org/10.5281/zenodo.5921116), at https://slavofflab.yale.edu/code or via request.
References
Orr, M. W., Mao, Y., Storz, G. & Qian, S. B. Alternative ORFs and small ORFs: shedding light on the dark proteome. Nucleic Acids Res. 48, 1029–1042 (2020).
Brunet, M. A., Levesque, S. A., Hunting, D. J., Cohen, A. A. & Roucou, X. Recognition of the polycistronic nature of human genes is critical to understanding the genotype–phenotype relationship. Genome Res. 28, 609–624 (2018).
Chen, J. et al. Pervasive functional translation of noncanonical human open reading frames. Science 367, 1140–1146 (2020).
Prensner, J. R. et al. Noncanonical open reading frames encode functional proteins essential for cancer cell survival. Nat. Biotechnol. 39, 697–704 (2021).
Brunet, M. A. et al. The FUS gene is dual-coding with both proteins contributing to FUS-mediated toxicity. EMBO Rep. 22, e50640 (2021).
Cao, X. et al. Alt-RPL36 downregulates the PI3K–AKT–mTOR signaling pathway by interacting with TMEM24. Nat. Commun. 12, 508 (2021).
Slavoff, S. A. et al. Peptidomic discovery of short open reading frame-encoded peptides in human cells. Nat. Chem. Biol. 9, 59–64 (2013).
Schwaid, A. G. et al. Chemoproteomic discovery of cysteine-containing human short open reading frames. J. Am. Chem. Soc. 135, 16750–16753 (2013).
Pena, C., Hurt, E. & Panse, V. G. Eukaryotic ribosome assembly, transport and quality control. Nat. Struct. Mol. Biol. 24, 689–699 (2017).
De Keersmaecker, K., Sulima, S. O. & Dinman, J. D. Ribosomopathies and the paradox of cellular hypo- to hyperproliferation. Blood 125, 1377–1382 (2015).
Pelletier, J., Thomas, G. & Volarevic, S. Ribosome biogenesis in cancer: new players and therapeutic avenues. Nat. Rev. Cancer 18, 51–63 (2018).
Nyhus, C., Pihl, M., Hyttel, P. & Hall, V. J. Evidence for nucleolar dysfunction in Alzheimer’s disease. Rev. Neurosci. 30, 685–700 (2019).
Farley-Barnes, K. I., Ogawa, L. M. & Baserga, S. J. Ribosomopathies: old concepts, new controversies. Trends Genet. 35, 754–767 (2019).
Leick, V. & Andersen, S. B. Polols and turnover rates of nuclear ribosomal RNA in Tetrahymena pyriformis. Eur. J. Biochem. 14, 460–464 (1970).
Kater, L. et al. Visualizing the assembly pathway of nucleolar pre-60S ribosomes. Cell 171, 1599–1610 (2017).
Sanghai, Z. A. et al. Modular assembly of the nucleolar pre-60S ribosomal subunit. Nature 556, 126–129 (2018).
Dieterich, D. C., Link, A. J., Graumann, J., Tirrell, D. A. & Schuman, E. M. Selective identification of newly synthesized proteins in mammalian cells using bioorthogonal noncanonical amino acid tagging (BONCAT). Proc. Natl Acad. Sci. USA 103, 9482–9487 (2006).
Koch, A. et al. A proteogenomics approach integrating proteomics and ribosome profiling increases the efficiency of protein identification and enables the discovery of alternative translation start sites. Proteomics 14, 2688–2698 (2014).
Ma, J. et al. Improved identification and analysis of small open reading frame encoded polypeptides. Anal. Chem. 88, 3967–3975 (2016).
Khitun, A. & Slavoff, S. A. Proteomic detection and validation of translated small open reading frames. Curr. Protoc. Chem. Biol. 11, e77 (2019).
Cao, X. et al. Comparative proteomic profiling of unannotated microproteins and alternative proteins in human cell Lines. J. Proteome Res. 19, 3418–3426 (2020).
Wang, T., Liu, Y., Liu, Q., Cummins, S. & Zhao, M. Integrative proteomic analysis reveals potential high-frequency alternative open reading frame-encoded peptides in human colorectal cancer. Life Sci. 215, 182–189 (2018).
Vanderperre, B. et al. Direct detection of alternative open reading frames translation products in human significantly expands the proteome. PLoS ONE 8, e70698 (2013).
Kamiyama, D. et al. Versatile protein tagging in cells with split fluorescent protein. Nat. Commun. 7, 11046 (2016).
Iyer-Bierhoff, A. & Grummt, I. Stop-and-go: dynamics of nucleolar transcription during the cell cycle. Epigenet. Insights 12, 2516865719849090 (2019).
Gorski, S. A., Snyder, S. K., John, S., Grummt, I. & Misteli, T. Modulation of RNA polymerase assembly dynamics in transcriptional regulation. Mol. Cell 30, 486–497 (2008).
Hernandez-Verdun, D. Assembly and disassembly of the nucleolus during the cell cycle. Nucleus 2, 189–194 (2011).
Cao, X. & Slavoff, S. A. Non-AUG start codons: expanding and regulating the small and alternative ORFeome. Exp. Cell. Res. 391, 111973 (2020).
Tan, L. Y. et al. Generation of functionally distinct isoforms of PTBP3 by alternative splicing and translation initiation. Nucleic Acids Res. 43, 5586–5600 (2015).
Saghatelian, A. & Couso, J. P. Discovery and characterization of smORF-encoded bioactive polypeptides. Nat. Chem. Biol. 11, 909–916 (2015).
Mellacheruvu, D. et al. The CRAPome: a contaminant repository for affinity purification-mass spectrometry data. Nat. Methods 10, 730–736 (2013).
Cox, J. et al. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol. Cell Proteom. 13, 2513–2526 (2014).
Liang, X. et al. Structural snapshots of human pre-60S ribosomal particles before and after nuclear export. Nat. Commun. 11, 3542 (2020).
Liu, Y., Deisenroth, C. & Zhang, Y. RP–MDM2–p53 pathway: linking ribosomal biogenesis and tumor surveillance. Trends Cancer 2, 191–204 (2016).
Sondalle, S. B., Longerich, S., Ogawa, L. M., Sung, P. & Baserga, S. J. Fanconi anemia protein FANCI functions in ribosome biogenesis. Proc. Natl Acad. Sci. USA 116, 2561–2570 (2019).
Bechara, E. G., Sebestyen, E., Bernardis, I., Eyras, E. & Valcarcel, J. RBM5, 6, and 10 differentially regulate NUMB alternative splicing to control cancer cell proliferation. Mol. Cell 52, 720–733 (2013).
Bassler, J. & Hurt, E. Eukaryotic ribosome assembly. Annu. Rev. Biochem. 88, 281–306 (2019).
Wild, T. et al. A protein inventory of human ribosome biogenesis reveals an essential function of exportin 5 in 60S subunit export. PLoS Biol. 8, e1000522 (2010).
Niceta, M. et al. TARP syndrome: long-term survival, anatomic patterns of congenital heart defects, differential diagnosis and pathogenetic considerations. Eur. J. Med. Genet. 62, 103534 (2019).
Imielinski, M. et al. Mapping the hallmarks of lung adenocarcinoma with massively parallel sequencing. Cell 150, 1107–1120 (2012).
Gagnon, M. et al. Potentiation of B2 receptor signaling by AltB2R, a newly identified alternative protein encoded in the human bradykinin B2 receptor gene. J. Biol. Chem. 296, 100329 (2021).
Chu, Q. et al. Identification of microprotein–protein interactions via APEX tagging. Biochemistry 56, 3299–3306 (2017).
Farley-Barnes, K. I. et al. Diverse regulators of human ribosome biogenesis discovered by changes in nucleolar number. Cell Rep. 22, 1923–1934 (2018).
Nguyen le, X. T., Raval, A., Garcia, J. S. & Mitchell, B. S. Regulation of ribosomal gene expression in cancer. J. Cell. Physiol. 230, 1181–1188 (2015).
Xing, Y. H. et al. SLERT regulates DDX21 rings associated with Pol I transcription. Cell 169, 664–678 (2017).
Ogawa, L. M. et al. Increased numbers of nucleoli in a genome-wide RNAi screen reveal proteins that link the cell cycle to RNA polymerase I transcription. Mol. Biol. Cell 32, 956–973 (2021).
Bryant, C. J., McCool, M. A., Abriola, L., Surovtseva, Y. V. & Baserga, S. J. A high-throughput assay for directly monitoring nucleolar rRNA biogenesis. Open Biol. 12, 210305 (2022).
Parker, M. D., Collins, J. C., Korona, B., Ghalei, H. & Karbstein, K. A kinase-dependent checkpoint prevents escape of immature ribosomes into the translating pool. PLoS Biol. 17, e3000329 (2019).
Gregory, B. et al. The small and large ribosomal subunits depend on each other for stability and accumulation. Life Sci. Alliance 2, e201800150 (2019).
Weerapana, E., Speers, A. E. & Cravatt, B. F. Tandem orthogonal proteolysis-activity-based protein profiling (TOP-ABPP)—a general method for mapping sites of probe modification in proteomes. Nat. Protoc. 2, 1414–1425 (2007).
Schmidt, E. K., Clavarino, G., Ceppi, M. & Pierre, P. SUnSET, a nonradioactive method to monitor protein synthesis. Nat. Methods 6, 275–277 (2009).
Cao, X. et al. Histone H4K20 demethylation by two hHR23 proteins. Cell Rep. 30, 4152–4164 (2020).
Acknowledgements
We thank F. Bleichert and all members of the Slavoff and Baserga labs for helpful conversations. We thank S. Gerbi at Brown University for discussion of the literature on ribosome subunit transport. We thank the Yale West Campus Imaging Core for the support and assistance in this work. This work was supported by a Searle Scholars Program Award, an Odyssey Award from the Richard and Susan Smith Family Foundation and start-up funds from Yale University West Campus (to S.A.S.). X.C. was supported in part by a Rudolph J. Anderson postdoctoral fellowship from Yale University. A.K. was in part supported by an NIH Predoctoral Training Grant (5T32GM06754 3-12). S.J.B., C.J.B. and C.M.H. were supported by R35 GM131687. C.M.H. was supported by an NSF GFRP.
Author information
Authors and Affiliations
Contributions
X.C. and A.K. designed and performed the chemoproteomic profiling, X.C. performed functional assays, C.M.H. and C.J.B. performed northern blotting, and X.C. and S.-J.Z. performed LC–MS/MS experiments. S.A.S. and S.J.B. designed experiments and analyzed data. X.C. and S.A.S. wrote the manuscript, and all authors edited and approved the final version of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Chemical Biology thanks Lorenzo Calviello, Stephan Wenkel and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Extended data
Extended Data Fig. 1 Overview of BONCAT-based chemoproteomics method optimization.
a, Size distribution of canonical, annotated proteins detected from vehicle HEK 293 T lysate subjected to gel-based microprotein isolation (control 1), AHA-labeled HEK 293 T lysate subjected to Click chemistry with biotin, 3 kDa MWCO membrane removal of excess biotin, streptavidin enrichment and gel-based microprotein isolation (old BONCAT), vehicle HEK 293 T lysate subjected to C8 column-based microprotein isolation (control 2), or AHA-labeled HEK 293 T lysate subjected to on-bead direct capture and digest after C8 column-based size selection (new BONCAT). Error bars, standard error of the mean (s.e.m.), N = 4 (two biologically independent experiments, each with two technical replicates). b, Expression level distribution of canonical, annotated proteins detected from the four strategies described above. Error bars, standard error of the mean (s.e.m.), N = 4 (two biologically independent experiments, each with two technical replicates). c, Venn diagram of the reproducibility of control samples (c, left, DMSO) and AHA-labeled samples (c, right, Arsenite). d, Venn diagram of detected annotated proteins from combined DMSO or DTT treatment samples. e, GO (KEGG) analysis of the 2,299 DTT-induced genes with g:Profiler identified processes associated with endoplasmic reticulum stress and proteostasis (for example, proteasome, mRNA surveillance pathway). f, Distribution of locations of identified alt-ORFs relative to annotated coding sequences (CDS). g, Venn diagram of alt-proteins identified under control or combined stress conditions. h, Top: Schematic representation of human CNPY2 transcript variant (tv) 1 or CACTIN tv 1; light gray arrow, 5’ and 3’ untranslated regions; red, alt-ORF; black, annotated protein CDS. Middle: Schematic representation of the expression construct containing complete 5’UTR and alt-ORF of the transcript indicated above, with a FLAG-HA appended to the C-terminus of the alt-protein. Bottom: HEK 293 T cells transfected with the expression construct were immunostained with anti-HA (red) and DAPI (cyan). Scale bar, 10 µm. Data are representative of three biological replicates.
Extended Data Fig. 2 BONCAT-based chemoproteomic identification of newly synthesized alt-proteins.
a,b, Extracted ion chromatograms (EICs) from MS1 spectra corresponding to tryptic peptides from alt-CNPY2 (a) or alt-PRH1 (b) under control (DMSO) vs. stress (DNA damage vs. oxidative damage, respectively) conditions. c-h, MS/MS spectra of tryptic peptides assigned to alt-DRAP1 (c), alt-PRR3 (d), alt-PRH1 (e), alt-CNPY2 (f), alt-CACTIN (g), and MINAS-60 (h) using BONCAT in HEK 293 T cells.
Extended Data Fig. 3 MINAS-60 is cell-cycle regulated, and translated from multiple start codons.
a, Immunostaining of synchronized MINAS-60 KI cells released from the G1/S boundary by a double thymidine block at the indicated time points with anti-HA (red), anti-fibrillarin (green), and DAPI (cyan). Scale bar, 10 µm. Data are representative of three biological replicates. b, Schematic representation of the region of human RBM10 tv 1 with candidate MINAS-60 start codons indicated. The ATG start codon of RBM10 is highlighted in red, and the two upstream non-ATG and seven internal ATG start codons that are upstream of and in-frame with the detected tryptic fragment of MINAS-60 are indicated in black. c,d, Expression of a construct containing the full 5’UTR and wild-type MINAS-60 coding sequence (WT, lane 1), or MINAS-60 coding sequence with each candidate start codon deletion (del, lanes 2-5, c), or mutation (lane 2-8, d), indicated on the top derived from RBM10 tv 1, with an HA tag appended to the C-terminus of MINAS-60, in HEK 293 T cells was followed by immunoblotting with the antibodies indicated to the right. Untransfected (no transfection) HEK 293 T cells served as a control. Data are representative of three biological replicates. e, Expression of a construct containing the full 5’UTR and MINAS-60 coding sequence (WT, lane 2), or ATG1 to the C-terminus of MINAS-60 (ATG1-C, lane 3), or ATG6 to the C-terminus of MINAS-60 (ATG6-C, lane 4) derived from RBM10 tv 1, with an HA tag appended to the C-terminus of MINAS-60, in HEK 293 T cells was followed by immunoblotting with the antibodies indicated to the right. Untransfected HEK 293 T cells served as a control. Data are representative of three biological replicates. f, HEK 293 T cells were transfected with ATG1-C or ATG6-C of MINAS-60, followed by immunostaining with anti-HA (red), anti-fibrillarin (green), and DAPI (cyan). Scale bar, 10 µm. Data are representative of three biological replicates.
Extended Data Fig. 4 MINAS-60 associates with ribosomal large subunit (LSU) biogenesis factors.
a, Coomassie blue staining of FLAG-IP from control (293 T) or MINAS-60 KI (MINAS-60-KI) HEK 293 T cells. Two major enriched bands from the KI FLAG-IP are indicated with black arrows, and MINAS-60 bands are indicated with stars. b, Volcano plot of quantitative proteomics (N = 3 biologically independent experiments) of gel bands (25-45 kDa) excised from MINAS-60 KI (KI) or control (Ctrl) HEK 293 T nuclear lysate FLAG-IP samples after SDS-PAGE. LSU biogenesis factors are indicated in red and the protein names are labeled. c, GO (biological processes) analysis of proteins enriched (fold change ≥ 30) in MINAS-60 KI FLAG-IP over control with g:Profiler.
Extended Data Fig. 5 MINAS-60 downregulates global protein synthesis and cell proliferation.
a, Western blot analysis of HEK 293 T stably expressing empty pLKO.1 vector control (lane 1, sh-Ctrl), one of the two RBM10 shRNAs (lane 2, sh-RBM10-1 (a, left), sh-RBM10-2 (a, right), rescue with MINAS-60 (lane 3, Rescue_MINAS-60), rescue with RBM10 (lane 4, Rescue_RBM10), or rescue with RBM10 bearing an A398TG to TAA mutation (lane 5, Rescue_RBM10(A398TG-TAA). Data are representative of three biological replicates. b, Quantitative RT-PCR of the cell lines described above with primers specific to RBM10. Error bars, standard error of the mean (s.e.m.), N = 4 biologically independent samples, one-way ANOVA (Dunnett’s test). c,d, HEK 293 T cells stably expressing empty pLKO.1 vector control (sh-Ctrl), one of the two RBM10 shRNA (sh-RBM10-1 (c) sh-RBM10-2 (d), rescue with MINAS-60 (Rescue_MINAS-60), rescue with RBM10 (Rescue_RBM10), or rescue with RBM10 bearing an A398TG to TAA mutation [Rescue_RBM10(A398TG-TAA)] were treated with 1 µM puromycin for 1 hour at 37°C before harvesting and western blotting with anti-puromycin antibody. Coomassie staining served as a loading control. Data are representative of three biological replicates. e, ImageJ was used to quantify the relative puromycin incorporation for cells indicated at the bottom relative to sh-Ctrl from three biological replicates. Data represent mean values ± s.e.m., and significance was evaluated with one-way ANOVA (Dunnett’s test). f, Growth curve of control (sh-Ctrl), RBM10 knockdown with a second shRNA (sh-RBM10-2), rescue with MINAS-60 (Rescue_MINAS-60) and rescue with RBM10 (Rescue_RBM10) HEK 293 T cells at the indicated number of days (N = 3 biologically independent experiments). Data represent mean values ± s.e.m., and significance was evaluated with two-way ANOVA (Dunnett’s test).
Extended Data Fig. 6 The C-terminal region of MINAS-60 is required for its interactions and function.
a, Top: Schematic representation of the domain structures of the wild-type (full-length, FL) and deletion mutants of MINAS-60, with amino acid residue numbers above. GTPBP4 and MRTO4 association status of each construct are listed on the right. Bottom: HEK 293 T cells were transfected with MINAS-60 wild-type or mutants (listed at top), and immunoprecipitations (IP) were performed with anti-FLAG antibody followed by immunoblotting (IB) with the antibodies indicated on the right. Untransfected HEK 293 T cells served as a control. Data are representative of three biological replicates. b, HEK 293 T cells transfected with pcDNA 3.1 empty vector (Empty vector), wild-type (FL) or deletion mutants of MINAS-60 listed at top were treated with 1 µM puromycin for 1 hour at 37°C before harvesting and IB with anti-puromycin antibody. Coomassie staining served as a loading control. Data are representative of three biological replicates. c, ImageJ was used to quantify the relative puromycin incorporation for cells indicated at the bottom relative to empty vector from three biological replicates. Data represent mean values ± s.e.m., and significance was evaluated with one-way ANOVA (Dunnett’s test).
Extended Data Fig. 7 MINAS-60 does not regulate transcription of pre-rRNA, nor LSU pre-rRNA processing.
a, Quantitative RT-PCR with primers specific to the primary pre-rRNA (47S/45S/30S) of HEK 293 T cells stably expressing empty pLKO.1 vector control (sh-Ctrl), one of the two RBM10 shRNAs (sh-RBM10-1 (a, left), sh-RBM10-2 (a, right), rescue with MINAS-60 (Rescue_MINAS-60), or rescue with RBM10 (Rescue_RBM10). Error bars, standard error of the mean (s.e.m.), N = 4 biologically independent samples. b, Total RNA from HEK 293 T cells stably expressing empty pLKO.1 vector control (lane 1, sh-ctrl), one of the two RBM10 shRNAs [sh-RBM10-1 (lane 2), sh-RBM10-2 (lane 5)], rescue with MINAS-60 [Rescue-1_MINAS-60 (rescue on sh-RBM10-1 background, lane 3), Rescue-2_MINAS-60 (rescue on sh-RBM10-2 background, lane 6)], or rescue with RBM10 [Rescue-1_RBM10 (rescue on sh-RBM10-1 background, lane 4), Rescue-2_RBM10 (rescue on sh-RBM10-2 background, lane 7)] were isolated with TRIzol, and pre-rRNAs were separated by gel electrophoresis, followed with northern blotting using radioactively labeled P4 probe (gray lines, diagram at right). Northern blotting with a probe against the 7SL RNA was used as a loading control. Illustrations of the pre-rRNAs detected by P4 are indicated to the right of their respective bands. Data are representative of three biological replicates. c, Total cellular RNA from the cell lines described above was isolated with TRIzol, and the ratio of 28S/18S was calculated using an Agilent 2100 Bioanalyzer. Error bars, standard error of the mean (s.e.m.), N = 3 biologically independent samples.
Extended Data Fig. 8 MINAS-60 downregulates LSU export.
a,b, Confocal live-cell imaging of control (sh-Ctrl), RBM10 knockdown with two independent shRNAs [sh-RBM10-1 (a), sh-RBM10-2 (b)], rescue with MINAS-60 (Rescue_MINAS-60) or rescue with RBM10 (Rescue_RBM10) HEK 293 T cells stably expressing RPL29-GFP. Scale bar, 10 µm. Data are representative of three biological replicates. c, Western blot of the cell lines described above with antibodies indicated on the right for comparison of RPL29-GFP expression. Data are representative of three biological replicates.
Extended Data Fig. 9 MINAS-60 does not regulate 40S ribosomal subunit export.
a,d, Confocal live-cell imaging of control (sh-Ctrl), RBM10 knockdown with two independent shRNAs [sh-RBM10-1 (a) and sh-RBM10-2 (d)], rescue with MINAS-60 (Rescue_MINAS-60) or rescue with RBM10 (Rescue_RBM10) HEK 293 T cells stably expressing RPS2-GFP. Scale bar, 10 µm. Data are representative of two biological replicates. b,e, Quantitation of the RPS2-GFP signals in the cell lines described above. At least 13 fields of view were analyzed, totaling > 350 cells for each measurement. Data represent mean values ± s.e.m., and significance was evaluated with one-way ANOVA (Dunnett’s test). c,f, Western blot of the cell lines described above with antibodies indicated on the right for comparison of RPS2-GFP expression. Data are representative of two biological replicates.
Extended Data Fig. 10 MINAS-60 downregulates cytoplasmic LSU export and pre-60S assembly.
a, Sucrose gradient sedimentation analysis of polysome fractions of cytoplasmic lysates from control (sh-Ctrl), RBM10 knockdown with a second shRNA (sh-RBM10-2), rescue with MINAS-60 (Rescue_MINAS-60) or rescue with RBM10 (Rescue_RBM10) HEK 293 T cells. Data are representative of three biological replicates. b, Transient over-expression of MINAS-60 reduces 60S and 80S levels. Sucrose gradient sedimentation analysis of polysome fractions of cytoplasmic lysates from HEK 293 T cells transfected with pcDNA 3.1 empty vector (Empty vector) or pcDNA 3.1-MINAS-60 (MINAS-60). Data are representative of three biological replicates. c, Quantitation of the ratio of cytoplasmic total 60S to total 40S subunits (c, left) or 80S to free 40S subunits (c, right) in ‘b’. The area under each peak was measured using ImageJ. Data represent mean values ± s.e.m., and significance was evaluated with two-tailed t-test. d, Schematic representation of pre-60S assembly factors associated with different pre-60S states. The bait protein BRIX1 is indicated in blue. LSU assembly factors exhibiting increased co-purification with BRIX1 in RBM10 KD cells are indicated in red. e, Volcano plot of quantitative proteomics (N = 5 biologically independent experiments) of BRIX1-FLAG pulldown from HEK 293 T cells stably expressing BRIX1 and control shRNA (Ctrl), or BRIX1 and RBM10 shRNA (KD), to quantify changes in BRIX1 interactome in RBM10 KD over control HEK 293 T cells. Increased association with ribosome assembly factors are indicated in red and protein names are labeled. f, BRIX1-FLAG-IP and western blotting with antibodies indicated on the right using the two cell lines described above. Cell lysates (4%) before IP (input) were used as the loading control. Data are representative of three biological replicates.
Supplementary information
Supplementary Information
Supplementary Tables 1–5.
Supplementary Data 1
S1–S3 are proteomics results for Fig. 2a. S4 and S5 are complete quantitative proteomics results for Extended Data Fig. 4b. S6 and S7 are complete quantitative proteomics results for Fig. 3a. S8 and S9 are complete quantitative proteomics results for Fig. 5b. S10 and S11 are complete quantitative proteomics results for Extended Data Fig. 10e.
Source data
Source Data Fig. 1
Unprocessed western blots.
Source Data Fig. 1
Statistical source data.
Source Data Fig. 2
Unprocessed western blots.
Source Data Fig. 3
Unprocessed western blots.
Source Data Fig. 3
Statistical source data.
Source Data Fig. 4
Statistical source data.
Source Data Fig. 5
Unprocessed western blots.
Source Data Fig. 5
Statistical source data.
Source Data Extended Data Fig. 1
Statistical source data.
Source Data Extended Data Fig. 3
Unprocessed western blots.
Source Data Extended Data Fig. 4
Statistical source data.
Source Data Extended Data Fig. 5
Unprocessed western blots.
Source Data Extended Data Fig. 5
Statistical source data.
Source Data Extended Data Fig. 6
Unprocessed western blots.
Source Data Extended Data Fig. 6
Statistical source data.
Source Data Extended Data Fig. 7
Unprocessed northern blot.
Source Data Extended Data Fig. 7
Statistical source data.
Source Data Extended Data Fig. 8
Unprocessed western blots.
Source Data Extended Data Fig. 9
Unprocessed western blots.
Source Data Extended Data Fig. 9
Statistical source data.
Source Data Extended Data Fig. 10
Unprocessed western blots.
Source Data Extended Data Fig. 10
Statistical source data.
Rights and permissions
About this article
Cite this article
Cao, X., Khitun, A., Harold, C.M. et al. Nascent alt-protein chemoproteomics reveals a pre-60S assembly checkpoint inhibitor. Nat Chem Biol 18, 643–651 (2022). https://doi.org/10.1038/s41589-022-01003-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41589-022-01003-9
This article is cited by
-
Small open reading frames: a comparative genetics approach to validation
BMC Genomics (2023)
-
Microproteins — lost in translation
Nature Chemical Biology (2022)