A male germ-cell-specific ribosome controls male fertility

A male germ-cell-specific ribosome controls male fertility


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ABSTRACT Ribosomes are highly sophisticated translation machines that have been demonstrated to be heterogeneous in the regulation of protein synthesis1,2. Male germ cell development


involves complex translational regulation during sperm formation3. However, it remains unclear whether translation during sperm formation is performed by a specific ribosome. Here we report


a ribosome with a specialized nascent polypeptide exit tunnel, RibosomeST, that is assembled with the male germ-cell-specific protein RPL39L, the paralogue of core ribosome (RibosomeCore)


protein RPL39. Deletion of RibosomeST in mice causes defective sperm formation, resulting in substantially reduced fertility. Our comparison of single-particle cryo-electron microscopy


structures of ribosomes from mouse kidneys and testes indicates that RibosomeST features a ribosomal polypeptide exit tunnel of distinct size and charge states compared with RibosomeCore.


RibosomeST predominantly cotranslationally regulates the folding of a subset of male germ-cell-specific proteins that are essential for the formation of sperm. Moreover, we found that


specialized functions of RibosomeST were not replaceable by RibosomeCore. Taken together, identification of this sperm-specific ribosome should greatly expand our understanding of ribosome


function and tissue-specific regulation of protein expression pattern in mammals. Access through your institution Buy or subscribe This is a preview of subscription content, access via your


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subscriptions * Read our FAQs * Contact customer support SIMILAR CONTENT BEING VIEWED BY OTHERS A MOLECULAR NETWORK OF CONSERVED FACTORS KEEPS RIBOSOMES DORMANT IN THE EGG Article 18 January


2023 METTL1-DEPENDENT M7G TRNA MODIFICATION IS ESSENTIAL FOR MAINTAINING SPERMATOGENESIS AND FERTILITY IN _DROSOPHILA MELANOGASTER_ Article Open access 24 September 2024 COUPLED PROTEIN


SYNTHESIS AND RIBOSOME-GUIDED PIRNA PROCESSING ON MRNAS Article Open access 13 October 2021 DATA AVAILABILITY The MS proteomics data have been deposited at the ProteomeXchange Consortium via


the PRIDE under project accessions: PXD020874, PXD020864, PXD020922 and PXD037257. Sequencing data were deposited at the National Center for Biotechnology Information (NCBI) Sequence Read


Archive under BioProject PRJNA657531. The cryo-EM density maps reported in this paper are available at the Electron Microscopy Data Bank under accession codes EMD-30432 (80S ribosome from


mouse kidney) and EMD-30433 (80S ribosome from mouse testis); atomic coordinates are reported at the PDB under accession codes 7CPU and 7CPV, respectively. The human 40S and 60S ribosome


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for Excellence in Molecular Cell Science, Chinese Academy of Sciences (CAS)) and S. Qian (University of Cornell) for the assistance during the experimental design; B. Zhu, X. Huang and G.


Ji (Institute of Biophysics (IBP), CAS) for cryo-EM data collection at the Center for Biological Imaging (CBI, http://cbi.ibp.ac.cn), IBP, CAS; D. Fan, L. Zhang and B. Huangfu (IBP, CAS) for


assistance during cryo-EM sample screening; Q. Dong (IBP, CAS) for artwork preparation; W. Li (Institute of Zoology, CAS) for assistance in sperm fluorescence in situ hybridization


analyses; and S. Eckardt for help with paper preparation. This work was supported by the National Key R&D Program (2018YFC1003500, 2018YFA0106900 and 2021YFC2700200) and the National


Natural Science Foundation of China (31890784, 31830043). AUTHOR INFORMATION Author notes * These authors contributed equally: Huiling Li, Yangao Huo, Xi He, Liping Yao, Hao Zhang, Yiqiang


Cui, Huijuan Xiao AUTHORS AND AFFILIATIONS * State Key Laboratory of Reproductive Medicine, Department of Histology and Embryology, Nanjing Medical University, Nanjing, China Huiling Li, Xi


He, Liping Yao, Yiqiang Cui, Huijuan Xiao, Wenxiu Xie, Yue Wang, Shu Zhang, Haixia Tu, Yiwei Cheng, Yueshuai Guo, Yunfei Zhu & Xuejiang Guo * CAS Center for Excellence in


Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China Yangao Huo, Dejiu Zhang, Xintao Cao, Tao Jiang & Yan Qin * School of Life Science and Engineering,


Foshan University, Guangdong, China Yangao Huo * Gusu School, Nanjing Medical University, Nanjing, China Hao Zhang * University of Chinese Academy of Sciences, Beijing, China Dejiu Zhang, 


Xintao Cao, Tao Jiang & Yan Qin * State Key Laboratory of Reproductive Medicine, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing


Medical University, Nanjing, China Jiahao Sha Authors * Huiling Li View author publications You can also search for this author inPubMed Google Scholar * Yangao Huo View author publications


You can also search for this author inPubMed Google Scholar * Xi He View author publications You can also search for this author inPubMed Google Scholar * Liping Yao View author


publications You can also search for this author inPubMed Google Scholar * Hao Zhang View author publications You can also search for this author inPubMed Google Scholar * Yiqiang Cui View


author publications You can also search for this author inPubMed Google Scholar * Huijuan Xiao View author publications You can also search for this author inPubMed Google Scholar * Wenxiu


Xie View author publications You can also search for this author inPubMed Google Scholar * Dejiu Zhang View author publications You can also search for this author inPubMed Google Scholar *


Yue Wang View author publications You can also search for this author inPubMed Google Scholar * Shu Zhang View author publications You can also search for this author inPubMed Google Scholar


* Haixia Tu View author publications You can also search for this author inPubMed Google Scholar * Yiwei Cheng View author publications You can also search for this author inPubMed Google


Scholar * Yueshuai Guo View author publications You can also search for this author inPubMed Google Scholar * Xintao Cao View author publications You can also search for this author inPubMed


 Google Scholar * Yunfei Zhu View author publications You can also search for this author inPubMed Google Scholar * Tao Jiang View author publications You can also search for this author


inPubMed Google Scholar * Xuejiang Guo View author publications You can also search for this author inPubMed Google Scholar * Yan Qin View author publications You can also search for this


author inPubMed Google Scholar * Jiahao Sha View author publications You can also search for this author inPubMed Google Scholar CONTRIBUTIONS H.L., Y.H., X.H., L.Y., H.Z., Y. Cui and H.X.


conducted majority of experiments and analysed the data. H.L., X.H., Y. Cui, H.X., W.X., S.Z., H.T. and Y.Z. performed functional studies in mouse and cell lines. H.L., Y.H., X.H., D.Z.,


X.C. and T.J. performed ribosomal and structural analyses. L.Y., Y.W., Y. Cheng and Y.G. performed proteomics analysis. H.Z. performed bioinformatics analysis. J.S., Y.Q. and X.G. initiated


the project, designed the experiments, supervised the whole project and wrote the manuscript. CORRESPONDING AUTHORS Correspondence to Xuejiang Guo, Yan Qin or Jiahao Sha. ETHICS DECLARATIONS


COMPETING INTERESTS The authors declare no competing interests. PEER REVIEW PEER REVIEW INFORMATION _Nature_ thanks Jon Oatley, Petra Van Damme 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 FIGURES AND TABLES EXTENDED DATA FIG. 1 CELL TYPE SPECIFIC RIBOSOME: RIBOSOMAL PROTEOME PROFILES AND RP IDENTIFICATION FROM 80S MONOSOMES ACROSS


MOUSE TISSUES AND DIFFERENT STAGES OF POSTNATAL DEVELOPMENT TESTIS. A, Separation of cytoplasmic ribosomes through sucrose gradient fractionation using different adult mouse tissues. B, Venn


diagram of the identified RPs in a comparative analysis of this and earlier studies. C, Distribution of RP paralogues in different mouse tissues identified in this study. D, Correlation


matrix of cytoplasmic ribosomes from different mouse tissues. E, Density plot of maximal SPM of RPs of nine mouse tissues. F, The relationship between retrogene _Rpl39l_ and its X-linked


parental gene _Rpl39_. G, mRNA levels of _Rpl39_ and _Rpl39l_ in 15 mouse tissues. _n_ = 3. H, Relative quantification of RPL3L in nine mouse tissues using a PRM method. _n_ = 3. I,


Separation of cytoplasmic ribosomes through sucrose gradient fractionation using mouse testicular tissue at different postnatal developmental stages. J, Correlation matrix for cytoplasmic


ribosomes from mouse testicular tissue at different developmental stages. K, Relative protein quantification of RPL4 and RPL39L in non-ribosome, 40S, 60S and ribosome fractions by PRM. _n_ =


 3. L, Morphology and specific staining of mouse testicular cells: testicular interstitial cells (IC), Sertoli cells (SC), spermatogonia (SG), pachytene spermatocytes (PS), round spermatids


(RS), and elongated spermatids (ES). Scale bar, 20 μm. M, Purities of SG (82.60 %), PS (82.69 %), RS (87.76 %), ES (81.9 %), IC (92.63 %) and SC (96.35 %) cells. _n_ = 3. N, Quantification


of _Rpl39_ and _Rpl39l_ mRNA levels in testicular cells by qPCR. _n_ = 3. O, Absolute protein quantification of RPL10, RPL10L, and RPL22, RPL22L1 in testicular cells by PRM. _n_ = 3. For G,


H, K, M, N and O, data are mean ± s.e.m.  _n_ values represent the number of samples. Source data EXTENDED DATA FIG. 2 THE CRISPR-CAS9 KNOCKOUT STRATEGY AND PHENOTYPE OF RIBOSOMEST-/- MICE.


A, Schematic of CRISPR-Cas9 and sgRNAs used. B, Sequences of the three mutant strains generated by CRISPR-Cas9. C,D, Relative protein expression levels of RPL39L (pachytene spermatocytes:


_P_ = 5.63 × 10−6, spermatids: _P_ = 1.47 × 10−6) (C) and RPL39 (pachytene spermatocytes: _P_ = 1.04 × 10−4, spermatids: _P_ = 1.09 × 10−4) (D) in RibosomeST-/- and wild-type mouse pachytene


spermatocytes and spermatids, as evaluated by PRM. _n_ = 3. E, RibosomeST-/- and wild-type testes with the 40S (_P_ = 0.664), 60S (_P_ = 0.664), 80S (_P_ = 1.25 × 10−6), 2-6 (_P_ = 0.712)


and 7+ polysome (_P_ = 0.489) peaks annotated and statistically compared. _n_ = 5. F, Testis morphology and size of both RibosomeST-/- and wild-type mice. _n_ = 3. Scale bar, 3 mm. G, Sperm


morphology and prevalence of head (_P_ = 7.86 × 10−4) and tail (_P_ = 9.02 × 10−6) defects in RibosomeST-/- and wild-type sperm. _n_ = 4. Scale bar, 10 μm. H, Levels of testosterone (_P_ = 


0.662), luteinizing hormone (LH) (_P_ = 0.491) and follicle-stimulating hormone (FSH) (_P_ = 0.437) in RibosomeST-/- and wild-type mice. _n_ = 3. I, Average frequency of vaginal plugs per


female mouse for RibosomeST-/- or wild-type male mice during fertility tests (_P_ = 0.902, _n_ = 3). J, Histology of wild-type and RibosomeST-/- testis showing seminiferous tubules at stage


VII-VIII, circled by dashed lines, and amplified in the bottom panels. _n_ = 3. PL: preleptotene spermatocyte, black arrowhead; PS: pachytene spermatocyte, red arrowhead; RS: round


spermatid, green arrowhead; ES: elongated spermatid, blue arrowhead; SC: Sertoli cell. Top panels scale bar, 50 μm; Bottom panels scale bar, 10 μm. K, Histology of wild-type and


RibosomeST-/- testis showing complete testicular section and stage IX sections together with statistics of percentages of stage IX (_P_ = 0.179) and average number of unreleased sperms per


stage IX tubule (_P_ = 5.87 × 10−4). The red dotted circle indicates the seminiferous tubules of stage IX, and the black dotted line indicates delay-released sperms. Left panels scale bar,


500 μm; Right panels scale bar, 20 μm. _n_ = 3. L, Histology of wild-type and RibosomeST-/- testis showing unreleased sperms at stage IX. Areas marked by dashed lines are shown at high


magnification to the bottom. _n_ = 3. L: leptotene spermatocyte, black arrowhead; PS: pachytene spermatocyte, red arrowhead; ES: elongated spermatid, blue arrowhead; SC: Sertoli cell; RB:


residual body. Top panels scale bar, 50 μm; Bottom panels scale bar, 10 μm. M, The images of testes and testis/body weight ratio (_P_ = 5.63 × 10−4, _n_ = 6) of the three RibosomeST-/-


strains and wild-type mice. Scale bar, 3 mm. N, Epididymal sperm count (Strain 2: _P_ = 0.048, Strain 3: _P_ = 0.045), motility (Strain 2: _P_ = 4.03 × 10−4, Strain 3: _P_ = 4.14 × 10−4) and


progressive motility (Strain 2: _P_ = 3.77 × 10−4, Strain 3: _P_ = 4.05 × 10−4) in two more RibosomeST-/- strains and wild-type mice. _n_ = 3. O, HE staining of the testis and epidydimal


sperms from the three RibosomeST-/- strains. _n_ = 3. Scale bar, 10 μm. P, Fertility of female RibosomeST-/- mice when mated with wild-type male mice (_P_ = 0.606, _n_ = 3). For C, D, E, G,


H, I, K, M, N and P, data are mean ± s.e.m. _P_ values were determined using two-tailed Student’s _t_-tests. _n_ values represent the number of biologically independent animals. Source data


EXTENDED DATA FIG. 3 THE PHENOTYPIC ANALYSIS OF RIBOSOMEST-/- MICE. A, Immunofluorescence detection of LIN28 (red) with nuclei stained by Hoechst 33342 (blue), and the quantification of


positively stained cells in three RibosomeST-/- strains and wild-type mice (Strain 1: _P_ = 0.144, _n_ = 4) (Strain 2: _P_ = 0.759, Strain 3: _P_ = 0.320, _n_ = 3). Left panels scale bar,


500 μm; Right panels scale bar, 20 μm. B, Immunofluorescence detection of SYCP3 (green) and γH2AX (red) in leptotene, zygotene, pachytene and diplotene spermatocytes in RibosomeST-/- and


wild-type testis and the quantification of each stage in RibosomeST-/- and wild-type mice. Scale bar, 10 μm. C, Immunofluorescence detection of SOX9 (red) with nuclei stained by Hoechst 


33342 (blue), and the quantification of positively stained cells in RibosomeST-/- and wild-type mice (_P_ = 0.161, _n_ = 3). Left panels scale bar, 50 μm; Right panels scale bar, 20 μm. D,


Fluorescence in situ hybridization of RibosomeST-/- and wild-type sperms using probes specific to X and Y chromosomes, and their corresponding ratio bar plot. Scale bar, 2 μm. E,F,


Transmission electron microscopy analysis and schematic of abnormalities of RibosomeST-/- and wild-type sperms in epididymis. Red arrowhead: defects in doublet microtubules 4-7 of axoneme,


blue arrowhead: other defects of axoneme. Scale bar, 1 μm. (E); The percentage of doublet microtubules 4-7 defects and other defects in axoneme of RibosomeST-/- sperm tail (_P_ = 3.74 × 


10−4, _n_ = 3) (F). G, TUNEL staining (red) of RibosomeST-/- and wild-type testes with Hoechst 33342 stained nuclei (blue), and the quantification statistics of TUNEL positive cells per


tubule (_P_ = 0.009) and percentage of TUNEL positive tubules (_P_ = 0.003, _n_ = 3). Left panels scale bar, 50 μm; Right panels scale bar, 20 μm. For A, C, F and G, data are mean ± s.e.m.


_P_ values were determined using two-tailed Student’s _t_-tests. _n_  values represent the number of biologically independent animals. Source data EXTENDED DATA FIG. 4 PROTEOMICS AND


BIOINFORMATICS ANALYSIS OF DIFFERENTIAL PROTEINS IN RIBOSOMEST-/- SPERMATOCYTES AND ESS. A, Morphology and Hoechst 33342 (blue) staining of spermatocytes and ESs purified by


Fluorescence-Activated Cell Sorting or STA-PUT from RibosomeST-/- and wild-type mice. _n_ = 3. Scale bar, 20 μm. B, The protein expression changes in spermatocytes showing log2 (Fold change)


(RibosomeST-/- vs. wild-type) and –log10 (FDR-adjusted _q_). C, Enriched GO terms for proteins downregulated in RibosomeST-/- ESs. D, Enriched GO terms for proteins upregulated in


RibosomeST-/- ESs. E, Validation of PRM2 (_P_ = 4.06 × 10−5), SMCP (_P_ = 7.70 × 10−6), ATP1A4 (_P_ = 1.23 × 10−5), H1FNT (_P_ = 2.46 × 10−4), SPAG4 (_P_ = 1.41 × 10−5), PGK2 (_P_ = 1,84 × 


10−5), ROPN1 (_P_ = 6.09 × 10−7), ODF1 (_P_ = 1.00 × 10−5), SPATA6 (_P_ = 8.43 × 10−6), TSSK2 (_P_ = 8.22 × 10−5), CST13 (_P_ = 1.80 × 10−6), CRISP2 (_P_ = 2.62 × 10−7), CCIN (_P_ = 5.45 × 


10−5), DBIL5 (_P_ = 4.53 × 10−7), TCP11 (_P_ = 6.34 × 10−9), UBE2J1 (_P_ = 5.30 × 10−7), DCUN1D1 (_P_ = 7.57 × 10−4), and DYNC1LI2 (_P_ = 0.118) in RibosomeST-/- spermatids by relative


targeted quantification using PRM (_n_ = 3). F, Western blot analysis of PRM2 (_P_ = 2.47 × 10−7), PGK2 (_P_ = 0.017), SPATA6 (_P_ = 2.06 × 10−4), TSSK2 (_P_ = 6.99 × 10−4), CRISP2 (_P_ = 


0.047), TCP11 (_P_ = 5.92 × 10−4), UBE2J1 (_P_ = 0.007), DCUN1D1 (_P_ = 2.38 × 10−4) and DYNC1LI2 (_P_ = 1.00) in RibosomeST-/- spermatids. _n_ = 3. G, Heat map of clustered mRNA and protein


expression patterns of downregulated proteins with testis-specific expression at different stages of germ cell development. In clusters 1 and 2, the mRNA levels peaked in either


spermatocytes or round spermatids, while the protein levels peaked at ESs. For clusters 3 and 4, all mRNA expression levels peaked in ESs, which agrees with the observed protein expression


patterns. H, Distribution of the testis-specific proteins in downregulated and upregulated differentially expressed proteins in RibosomeST-/- ESs. I, Enriched GO terms for downregulated


testis-specific proteins in RibosomeST-/- ESs. J, Overlap in differentially expressed proteins between RibosomeST-/- and control ESs, and differential genes in 80S, 2-6 and 7+ polysomes


between RibosomeST-/- and wild-type testes by RNC-seq. K, Heat map of mRNA levels in the 80S, 2-6 or 7+ polysomes between RibosomeST-/- and wild-type testes by RNC-seq. L, Western blotting


of nascent peptides using anti-Puromycin in spermatocytes (left) and spermatids (right) following _O_-propargyl-puromycin assays, β-Tubulin was used as a control. _n_ = 3. M, Analysis of


_Ccin_, _Crisp2_, _Cst13_, _Dbil5_, _Dcun1d1_, _H1fnt_, _Odf1_, _Pgk2_, _Prm2_, _Ropn1_, _Spata6_, _Tcp11_, _Tssk2_, _Ube2j1_, _Atp1a4_, _Smcp_, _Spag4_ and _Dync1li2_ mRNA levels in all


polysomal fractions. _n_ = 3. N, Translation ratio of differential proteomics in the 80S, 2-6 or 7+ polysomes between RibosomeST-/- and wild-type testes. O, Matrix of substitution


identifications. Each entry in the matrix represents the number of independent substitutions detected for the corresponding (original codon, destination amino acid) pair in the MOPS-complete


dataset. The logarithmic colour bar highlights the dynamic range of detection. Grey squares indicate substitutions from a codon to its cognate amino acid, substitutions from the stop codon,


or substitutions undetectable via our method because they are indistinguishable from one of the PTMs or artifacts in the UniMod (http://www.unimod.org/) database. For E, F and M, data are


mean ± s.e.m. _P_ values were determined using two-tailed Student’s _t_-tests. _n_ values represent the number of samples. Gel source data are provided in Supplementary Fig. 1. Source data


EXTENDED DATA FIG. 5 CRYO-EM DATA PROCESSING AND RESOLUTION EVALUATION OF KIDNEY AND TESTIS RIBOSOMES. A, Multiple sequence alignment of RPL39 and RPL39L from human, mouse, rat, Drosophila,


_C.elegans_, and yeast. B, Representative micrograph of the kidney ribosome. C, Flow chart of the kidney ribosome cryo-EM data processing. D, Local resolution variation of kidney ribosome


final map estimated with ResMap. E, Gold standard Fourier shell correlation (FSC) curves of the kidney ribosome final map showing that the resolution is 2.82 Å at FSC = 0.143. F,


Representative micrograph of the testis ribosome. G, Flow chart of the testis ribosome cryo-EM data processing. H, Local resolution variation of testis ribosome final map estimated with


ResMap. I, Gold standard Fourier shell correlation (FSC) curves of the testis ribosome final map showing that the resolution is 3.03 Å at FSC = 0.143. EXTENDED DATA FIG. 6 STRUCTURE


COMPARISON OF KIDNEY RIBOSOMECORE, TESTIS RIBOSOMECORE AND TESTIS RIBOSOMEST. A, Structure superposition of 60S subunits of kidney RibosomeCore (pink), testis RibosomeCore (grey), and testis


RibosomeST (brick red). 40S ribosomes were omitted for clarity. C, Close view of RPL39 from kidney RibosomeCore (pink), RPL39 from testis RibosomeCore (grey), and RPL39L from testis


RibosomeST (brick red). B,D, Density of RPL39 from kidney ribosome and density of RPL39 and RPL39L from testis ribosome (level 1.4). F, Close view of sidechains of R28 and R36 of RPL39 from


kidney RibosomeCore (pink), R28 and R36 of RPL39 from testis RibosomeCore (grey),and Q28 and M36 of RPL39L from testis RibosomeST (brick red), indicating orientation of the sidechains. E,G,


Close view of the density of R28 and R36 of RPL39 from kidney RibosomeCore (E); the density of R28 and R36 of RPL39 from testis RibosomeCore, and Q28 and M36 of RPL39L from testis RibosomeST


(G). H,Close view of R28 and R36 of RPL39 from kidney RibosomeCore (pink), with density map omitted for clarity. I,J, Close view of R28 and R36 of RPL39 from testis RibosomeCore (grey; I),


and Q28 and M36 of RPL39L from testis RibosomeST (brick red; J), with density map omitted for clarity. EXTENDED DATA FIG. 7 STRUCTURAL CHARACTERISTIC ANALYSIS OF PROTEINS DOWNREGULATED IN


RIBOSOMEST-/- ESS. A, Downregulated proteins exhibited higher percentage of helix at amino acid positions of 10-11, 14-20, and 23-27 compared with unchanged proteins. Upregulated proteins


exhibited a lower percentage of helix at amino acid positions from 23 to 38 compared with unchanged proteins. B, 3D structure of CCIN based on the AlphaFold Protein Structure Database


(https://alphafold.ebi.ac.uk) with N-terminal 50 amino acids shown in blue, and the C-terminal half sequence shown in grey. C, Downregulated proteins formed more disulfide bonds in


C-terminal half of the sequence than non-significance and upregulated proteins. D, 3D structure of CST13 based on the AlphaFold Protein Structure Database (https://alphafold.ebi.ac.uk) with


N-terminal 50 amino acids coloured in blue, the C-terminal half sequence coloured in grey, and disulfide bonds are emphasized as red sticks. E, Amino acid enrichment analysis of upregulated


proteins in RibosomeST-/- ESs. F, Levels of total thiols (_P_ = 0.547) and glutathione (GSH) (_P_ = 2.27 × 10−4) in RibosomeST-/- and wild-type N2a cell lines. _n_ = 3. For A and F, data are


mean ± s.e.m. _P_ values were determined using two-sided Fisher’s exact tests for A; two-tailed Student’s _t_-tests for F. _ n_ values represent the number of independent experiments.


Source data EXTENDED DATA FIG. 8 THE CONSTRUCTION OF RIBOSOMEST KNOCKOUT N2A CELL LINE. A, Schematics of CRISPR-Cas9 and sgRNA against _Rpl39l_ used in N2a cells. B, Sequences of the


RibosomeST-/- N2a cell line generated by CRISPR-Cas9. C, Absorbance of ribosome profiles in RibosomeST-/- and wild-type N2a cell lines. D, Validation of TCP11 (_P_ = 0.028), DCUN1D1 (_P_ = 


0.006) and DYNC1LI2 (_P_ = 0.916) in RibosomeST-/- N2a cells by western blotting. _n_ = 3. E, Absolute quantification of RPL39 and RPL39L protein expression levels in GC-1 ribosomes, and in


RibosomeST-/- and wild-type N2a ribosomes by PRM (_P_ = 0.004, _n_ = 3). F, Quantification of _Rpl39_ mRNA in RibosomeST-/- and wild-type N2a cells (_P_ = 0.034, _n_ = 3). G, Western


blotting of nascent peptides using anti-Puromycin in N2a cell lines following _O_-propargyl-puromycin assays, β-Tubulin was used as a control. _n_ = 3. H, Quantification of _Prm2_, _H1fnt_,


_Ccin_, and _Dync1li2_ in cell lines and testis. _n_ = 3. For D, E, F and H, data are mean ± s.e.m. _P_ values were determined using two-tailed Student’s _t_-tests. _n_ values represent the


number of independent experiments. Gel source data are provided in Supplementary Fig. 1. Source data EXTENDED DATA FIG. 9 FUNCTIONAL VALIDATION OF RIBOSOMEST IN SPERMATIDS AND CELL LINES. A,


Stability of PRM2 (_P_ = 3.39 × 10−4) and DYNC1LI2 (_P_ = 0.863) in RibosomeST-/- and wild-type spermatids by cycloheximide chase analysis. Protein level of each protein was normalized to


β-Actin and then to time point = 0 h. _n_ = 3. B, Stability of H1FNT-HA in RibosomeST-/- and wild-type N2a cells by cycloheximide chase analysis with the treatment of MG-132. Protein level


was firstly normalized to eGFP and then to time point = 0 h (_P_ = 0.049, _n_ = 3). C, Western blotting showing the relative LC3II/LC3I ratio in RibosomeST-/- and wild-type N2a cells without


(left, _P_ = 0.100, _n_ = 3) or with (right, _P_ = 0.002, _n_ = 5) H1FNT transfection. Stability of H1FNT-HA in RibosomeST-/- and wild-type N2a cells by cycloheximide chase analysis with


the treatment of chloroquine (CQ). Protein level was normalized to eGFP and then to time point = 0 h (_P_ = 0.818, _n_ = 3). D, Stability of PRM2-HA (R28Q: _P_ = 0.021, RPL39L: _P_ = 0.004),


H1FNT-HA (R28Q: _P_ = 0.006, RPL39L: _P_ = 0.001), CCIN-HA (R28Q: _P_ = 0.044, RPL39L: _P_ = 0.021), and DYNC1LI2-HA (R28Q: _P_ = 0.208, RPL39L: _P_ = 0.362) in RibosomeST-/- N2a cell lines


overexpressing RPL39, RPL39(R28Q) and RPL39L by cycloheximide chase analysis, respectively. Protein level of each protein was normalized to eGFP and then to time point = 0 h. _n_ = 3. E,


Unfolded protein response signalling pathway analysis by western blotting of PERK (_P_ = 0.804), eIF2α (_P_ = 0.619), phosphorylated eIF2α (_P_ = 0.608) and ATF6α (_P_ = 2.07 × 10−4) with


β-Tubulin as loading control, qPCR of _Xbp1_ (_Xbp1s_: _P_ = 0.790, _Xbp1u_: _P_ = 0.437, _n_ = 4) splicing with 18S as an internal standard, and relative protein expression levels of


HSP90B1 (FDR- adjusted _q_ = 0.002, fold change < 1.5, Student’s _t_-test with BH FDR correction) and HSPA5 (FDR- adjusted _q_ = 0.019, fold change < 1.5, Student’s _t_-test with BH


FDR correction) according to TMT-based quantification by LC-MS/MS (Supplementary Table 2) in wild-type and RibosomeST-/-spermatids. _n_ = 3. F, Distribution of endogenous proteins MOV10,


GAPDH and β-Tubulin in the soluble (_S_) and pellet (_P_) fractions by western blotting in RibosomeST-/- and wild-type N2a cells. _n_ = 3. G, Distribution of H1FNT-HA (R28Q: _P_ = 0.020,


RPL39L: _P_ = 0.013) and DYNC1LI2-HA (R28Q: _P_ = 0.393, RPL39L: _P_ = 0.465) in the _S_ and _P_ fractions by western blotting and the protein expression levels shown as _S_/_P_ ratio in


RibosomeST-/- N2a cell lines overexpressing RPL39, RPL39(R28Q) and RPL39L, respectively. _n_ = 3. H, SDS-resistance assay for protein OAZ3 synthesized in RibosomeST-/- and wild-type N2a


cells. _n_ = 3. I, Proportion of different wild-type and mutated alleles in wild-type N2a cells, 1st round of Cas9-edited N2a cells, monoclonal heterozygous _Rpl39__+/-_ N2a cell line


derived from 1st round of edit, _Rpl39__+/-_ N2a cells subjected to 2nd round of Cas9-edit and selection for 4 days by blasticidin and puromycin, with and without additional 7 days of


culture without selection. Those without additional 7 days of culture were also subjected to single cell sorting to establish monoclonal cell lines. _n_ = 3. J, Morphology of


RPL39L-IRES-eGFP and doxycycline (Dox)-inducible RPL39-overexpressing RibosomeCore-/Y GC-1 cells with or without Dox treatment for different ranges of time. The number of cells was corrected


according the split ratio during passage. Scale bar, 20 μm. K, Absolute quantification of RPL39 and RPL39L levels in ribosomes of GC-1 wild-type cell, and RPL39L-IRES-eGFP-overexpressing


RibosomeCore-/Y GC-1 cells with or without Dox-induced expression of RPL39 by PRM. _n_ = 3. For A, B, C, D, E, G, I and K, data are mean ± s.e.m. _P_ values were determined using two-tailed


Student’s _t_-tests.  _n_ values represent the number of independent experiments. Gel source data are provided in Supplementary Fig. 1. Source data EXTENDED DATA FIG. 10 LINEARITY BETWEEN


THE OBSERVED AND EXPECTED SIGNAL RATIOS OF THE LIGHT AND HEAVY PEPTIDES BY PRM IN SERIAL DILUTION EXPERIMENTS. The observed and expected signal ratios of the light and heavy peptides by PRM


in serial dilution experiments showed good linearity. SUPPLEMENTARY INFORMATION SUPPLEMENTARY INFORMATION Supplementary Fig. 1 and full descriptions for Supplementary Tables 1–10. REPORTING


SUMMARY SUPPLEMENTARY TABLE 1 Quantification of RPs in the 80S monosomes. SUPPLEMENTARY TABLE 2 Differential proteins observed in different RibosomeST-knockout mouse germ cells.


SUPPLEMENTARY TABLE 3 GO analysis in this study. SUPPLEMENTARY TABLE 4 mRNA and protein expression levels of testis-specific genes in different stages of germ cell development. SUPPLEMENTARY


TABLE 5 RNC-mRNA expression levels in mouse RibosomeST-knockout testis. SUPPLEMENTARY TABLE 6 Cryo-EM data collection and refinement statistics. SUPPLEMENTARY TABLE 7 Subunit lists modelled


in kidney and testis ribosomes. SUPPLEMENTARY TABLE 8 Structural feature analysis of downregulated proteins in mouse RibosomeST-knockout spermatids. SUPPLEMENTARY TABLE 9 Primers and the


peptide sequences used in this study. SUPPLEMENTARY TABLE 10 Extracted ion chromatograms from protein quantification measurements by PRM. SOURCE DATA SOURCE DATA FIG. 1 SOURCE DATA FIG. 2


SOURCE DATA FIG. 4 SOURCE DATA EXTENDED DATA FIG. 1 SOURCE DATA EXTENDED DATA FIG. 2 SOURCE DATA EXTENDED DATA FIG. 3 SOURCE DATA EXTENDED DATA FIG. 4 SOURCE DATA EXTENDED DATA FIG. 7 SOURCE


DATA EXTENDED DATA FIG. 8 SOURCE DATA EXTENDED DATA FIG. 9 RIGHTS AND PERMISSIONS Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article


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publishing agreement and applicable law. Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Li, H., Huo, Y., He, X. _et al._ A male germ-cell-specific ribosome controls male


fertility. _Nature_ 612, 725–731 (2022). https://doi.org/10.1038/s41586-022-05508-0 Download citation * Received: 06 September 2021 * Accepted: 01 November 2022 * Published: 14 December 2022


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