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Ubiquitylome study identifies increased histone 2A ubiquitylation as an evolutionarily conserved aging biomarker

Yang, Lu, Ma, Zaijun, Wang, Han, Niu, Kongyan, Cao, Ye, Sun, Le, Geng, Yang, Yang, Bo, Gao, Feng, Chen, Zuolong, Wu, Zhen, Li, Qingqing, Shen, Yong, Zhang, Xumin, Jiang, Hong, Chen, Yelin, Liu, Rui, Liu, Nan, Zhang, Yaoyang·2019·Nature Communications

Abstract

The long-lived proteome constitutes a pool of exceptionally stable proteins with limited turnover. Previous studies on ubiquitin-mediated protein degradation primarily focused on relatively short-lived proteins; how ubiquitylation modifies the long-lived proteome and its regulatory effect on adult lifespan is unclear. Here we profile the age-dependent dynamics of long-lived proteomes in Drosophila by mass spectrometry using stable isotope switching coupled with antibody-enriched ubiquitylome analysis. Our data describe landscapes of long-lived proteins in somatic and reproductive tissues of Drosophila during adult lifespan, and reveal a preferential ubiquitylation of older long-lived proteins. We identify an age-modulated increase of ubiquitylation on long-lived histone 2A protein in Drosophila , which is evolutionarily conserved in mouse, monkey, and human. A reduction of ubiquitylated histone 2A in mutant flies is associated with longevity and healthy lifespan. Together, our data reveal an evolutionarily conserved biomarker of aging that links epigenetic modulation of the long-lived histone protein to lifespan.

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Fig. 1 Long-lived proteome analysis during Drosophila aging. a Experimental scheme of metabolic labeling in Drosophila. Flies were first fully labeled with 15N, and then switched to normal 14N food at 5d. Samples were collected at 5d, 30d, and 60d of age. Proteomes of three tissues with indicated ages, and the ubiquitylome of 60d old head and muscle tissues were analyzed. The proportion of 15N signal represents protein turnover rate. b 15N proportions (15N %) for each protein in different tissues and different aging time point. Proteins quantified during aging were compared across tissue types. A high 15N % value at aging time point represents a slow turnover rate. The protein identifiers were used for comparison among multiple datasets in this study. c Clustering of proteins according to their 15N proportion changes during aging. Proteins in cluster 1 were characterized with the slowest turnover rates thus defined as extremely long-lived proteins (ELLPs). The median values are marked at the center. The boxes extend from the 25th to 75th percentiles. The upper or lower whiskers extend from the hinge to the largest or smallest value no further than 1.5 times the interquartile range (IQR).d Venn diagram and GO analysis of ELLPs in head and muscle. 149 ELLPs were found in both head and muscle, two post-mitotic tissues, and then subjected to functional analysis, with “nucleosome assembly” as the most significant hit (p = 5.2e-9, Fisher’s exact test). e H2A and H2B are ELLPs. H2A and H2B belonging to “nucleosome assembly” category were identified with a dramatic enrichment of 15N signals at day 60. The extracted ion chromatographs (XICs) of the paired 15N and 14N peaks from two representative peptides were compared
Fig. 1 Long-lived proteome analysis during Drosophila aging. a Experimental scheme of metabolic labeling in Drosophila. Flies were first fully labeled with 15N, and then switched to normal 14N food at 5d. Samples were collected at 5d, 30d, and 60d of age. Proteomes of three tissues with indicated ages, and the ubiquitylome of 60d old head and muscle tissues were analyzed. The proportion of 15N signal represents protein turnover rate. b 15N proportions (15N %) for each protein in different tissues and different aging time point. Proteins quantified during aging were compared across tissue types. A high 15N % value at aging time point represents a slow turnover rate. The protein identifiers were used for comparison among multiple datasets in this study. c Clustering of proteins according to their 15N proportion changes during aging. Proteins in cluster 1 were characterized with the slowest turnover rates thus defined as extremely long-lived proteins (ELLPs). The median values are marked at the center. The boxes extend from the 25th to 75th percentiles. The upper or lower whiskers extend from the hinge to the largest or smallest value no further than 1.5 times the interquartile range (IQR).d Venn diagram and GO analysis of ELLPs in head and muscle. 149 ELLPs were found in both head and muscle, two post-mitotic tissues, and then subjected to functional analysis, with “nucleosome assembly” as the most significant hit (p = 5.2e-9, Fisher’s exact test). e H2A and H2B are ELLPs. H2A and H2B belonging to “nucleosome assembly” category were identified with a dramatic enrichment of 15N signals at day 60. The extracted ion chromatographs (XICs) of the paired 15N and 14N peaks from two representative peptides were comparedCC BY · PubMed Central
Fig. 2 Ubiquitylome analysis of the aging proteome in fly heads. a Proportions of 15N-PSMs in total PSMs. While 15N-labeled old forms accounted for 28% of the entire proteome at 60d, they represented 59% of the ubiquitylated proteome, suggesting increased ubiquitylation in older proteome. b Quantifications of 15N signals in total proteins and ubiquitylated proteins. A scatter plot of 15N ratio confirms a majority of the proteins have higher 15N proportion in ubiquitylome than that of the normal aging proteome at 60d of age (p = 2.2e-16, Mann–Whitney-Wilcoxon test). c, d Ubiquitylated histone proteins are featured by higher 15N ratios, including H2A (c) and H2B (d). The XICs of the paired 15N and 14N peaks were compared. e Quantification of 15N proportions and abundance of ubiquitylated sites. H2A has high-abundance in the level of ubiquitylation, as assessed by the PSM counts
Fig. 2 Ubiquitylome analysis of the aging proteome in fly heads. a Proportions of 15N-PSMs in total PSMs. While 15N-labeled old forms accounted for 28% of the entire proteome at 60d, they represented 59% of the ubiquitylated proteome, suggesting increased ubiquitylation in older proteome. b Quantifications of 15N signals in total proteins and ubiquitylated proteins. A scatter plot of 15N ratio confirms a majority of the proteins have higher 15N proportion in ubiquitylome than that of the normal aging proteome at 60d of age (p = 2.2e-16, Mann–Whitney-Wilcoxon test). c, d Ubiquitylated histone proteins are featured by higher 15N ratios, including H2A (c) and H2B (d). The XICs of the paired 15N and 14N peaks were compared. e Quantification of 15N proportions and abundance of ubiquitylated sites. H2A has high-abundance in the level of ubiquitylation, as assessed by the PSM countsCC BY · PubMed Central
Fig. 3 H2A mono-ubiquitylation increases with age in Drosophila, mouse, monkey, and human. a Alignment of amino acid sequence showing striking conservation of H2A in Drosophila, mouse, monkey, and human. b, d, f, h, j Western blotting (left) and quantification (right) show an evolutionarily conserved increase of ubH2A with age. Western blotting was from head tissues of 3d and 30d old male flies (n = 4 independent biological repeats) (b), brain and heart tissues of 5 months (n = 4) and 23 months (n = 4) old male mice (d, f), parietal lobes of young (n = 3) and old (n = 4) rhesus macaque (h), and prefrontal cortex of brain tissues of young (n = 7) and old (n = 7) male or female humans (j). The median values are marked at the center. The boxes extend from the 25th to 75th percentiles. The p-values are calculated by using the student t test. c, e, g, i MS quantifications confirm the increase of ubH2A with age in Drosophila (n = 3 independent biological repeats)(c), mouse brain (n = 4 for both young and old groups) (e), mouse heart (n = 4 for both young and old groups) (g), and monkey (n = 3 for young, n = 4 for old) (i). The ubH2A was measured by PRM-based targeted mass spectrometry method. Representative XICs of the y3 ion were shown. The quantification was done by using the summed intensities of y3, y4, y5, y6, and y7 ions. Data are shown as mean ± s.d. The p-values are calculated by using the student t test
Fig. 3 H2A mono-ubiquitylation increases with age in Drosophila, mouse, monkey, and human. a Alignment of amino acid sequence showing striking conservation of H2A in Drosophila, mouse, monkey, and human. b, d, f, h, j Western blotting (left) and quantification (right) show an evolutionarily conserved increase of ubH2A with age. Western blotting was from head tissues of 3d and 30d old male flies (n = 4 independent biological repeats) (b), brain and heart tissues of 5 months (n = 4) and 23 months (n = 4) old male mice (d, f), parietal lobes of young (n = 3) and old (n = 4) rhesus macaque (h), and prefrontal cortex of brain tissues of young (n = 7) and old (n = 7) male or female humans (j). The median values are marked at the center. The boxes extend from the 25th to 75th percentiles. The p-values are calculated by using the student t test. c, e, g, i MS quantifications confirm the increase of ubH2A with age in Drosophila (n = 3 independent biological repeats)(c), mouse brain (n = 4 for both young and old groups) (e), mouse heart (n = 4 for both young and old groups) (g), and monkey (n = 3 for young, n = 4 for old) (i). The ubH2A was measured by PRM-based targeted mass spectrometry method. Representative XICs of the y3 ion were shown. The quantification was done by using the summed intensities of y3, y4, y5, y6, and y7 ions. Data are shown as mean ± s.d. The p-values are calculated by using the student t testCC BY · PubMed Central
Fig. 4 Reducing ubH2A couples with extended adult lifespan in Drosophila. a Scec244/ + or Su(z)2c433/ + single mutants and Scec244/ + ; Su(z)2c433/ + double mutants have extended lifespan. All lifespan data of this study were acquired in at least two replicates. (For lifespan: 25 °C; n > 100 male flies per genotype for curve; log-rank test). Genotypes (fly total number (death / censored)): WT: 5905 (156 (154 / 2)). Scec244/ + (128 (113 / 15)). Su(z)2c433/ + (126 (111 / 15)). Scec244/ + ; Su(z)2c433/ + (144 (103 / 41)). b ubH2A is significantly decreased in Scec244/ + , Su(z)2c433/ + , and Scec244/ + ; Su(z)2c433/ + flies (n = 4 independent biological repeats for ubH2A quantification) (mean ± s.e.m.; student t test). Protein was from head tissues of 30d old male heads. c Volcano plot shows that genes are differentially expressed in Scec244/ + ;Su(z)2c433/ + double mutants compared to WT (left panel). Differential expression analysis was performed by DESeq2 from 3 biological replicates. 224 genes were found to be upregulated (Fold change > 1.5, p < 0.05). Ingenuity pathway analysis (right panel) shows that “glutathione-mediated detoxification” was significantly enriched for genes upregulated in the Scec244/ + ; Su(z)2c433/ + double mutant (p = 0.0026, Fisher’s exact test). RNA-seq was from heads of 30d old male flies. Genotypes: WT: 5905. Scec244/ + ; Su(z)2c433/ + . d qRT-PCR analysis shows that GSTO1 of the glutathione-mediated detoxification pathway becomes significantly increased in the Scec244/ + ; Su(z)2c433/ + double mutants (n = 3 independent biological repeats for qRT-PCR) (mean ± s.e.m.; student t test). qRT-RNA was from heads of 30d old male flies. Genotypes as in c. e While GSH and GSSG levels remain unchanged (left panel), GSH/(GSH + GSSG) ratio (right panel), indicator of the cellular redox level, is higher in Scec244/ + single mutants and Scec244/ + ; Su(z)2c433/ + double mutants than age-matched WT. Metabolic analysis was from heads of 30d old male flies. Genotypes: WT: 5905. Scec244/ + . Scec244/ + ; Su(z)2c433/ + (n = 3 independent biological repeats; student t test)
Fig. 4 Reducing ubH2A couples with extended adult lifespan in Drosophila. a Scec244/ + or Su(z)2c433/ + single mutants and Scec244/ + ; Su(z)2c433/ + double mutants have extended lifespan. All lifespan data of this study were acquired in at least two replicates. (For lifespan: 25 °C; n > 100 male flies per genotype for curve; log-rank test). Genotypes (fly total number (death / censored)): WT: 5905 (156 (154 / 2)). Scec244/ + (128 (113 / 15)). Su(z)2c433/ + (126 (111 / 15)). Scec244/ + ; Su(z)2c433/ + (144 (103 / 41)). b ubH2A is significantly decreased in Scec244/ + , Su(z)2c433/ + , and Scec244/ + ; Su(z)2c433/ + flies (n = 4 independent biological repeats for ubH2A quantification) (mean ± s.e.m.; student t test). Protein was from head tissues of 30d old male heads. c Volcano plot shows that genes are differentially expressed in Scec244/ + ;Su(z)2c433/ + double mutants compared to WT (left panel). Differential expression analysis was performed by DESeq2 from 3 biological replicates. 224 genes were found to be upregulated (Fold change > 1.5, p < 0.05). Ingenuity pathway analysis (right panel) shows that “glutathione-mediated detoxification” was significantly enriched for genes upregulated in the Scec244/ + ; Su(z)2c433/ + double mutant (p = 0.0026, Fisher’s exact test). RNA-seq was from heads of 30d old male flies. Genotypes: WT: 5905. Scec244/ + ; Su(z)2c433/ + . d qRT-PCR analysis shows that GSTO1 of the glutathione-mediated detoxification pathway becomes significantly increased in the Scec244/ + ; Su(z)2c433/ + double mutants (n = 3 independent biological repeats for qRT-PCR) (mean ± s.e.m.; student t test). qRT-RNA was from heads of 30d old male flies. Genotypes as in c. e While GSH and GSSG levels remain unchanged (left panel), GSH/(GSH + GSSG) ratio (right panel), indicator of the cellular redox level, is higher in Scec244/ + single mutants and Scec244/ + ; Su(z)2c433/ + double mutants than age-matched WT. Metabolic analysis was from heads of 30d old male flies. Genotypes: WT: 5905. Scec244/ + . Scec244/ + ; Su(z)2c433/ + (n = 3 independent biological repeats; student t test)CC BY · PubMed Central
Fig. 5 Reducing ubH2A couples with an effect to promote adult fitness. Analysis of adult phenotypes reveals that Scec244/ + single mutants and Scec244/ + ; Su(z)2c433/ + double mutants have better climbing (a) and enhanced resistance to oxidation (b) than age-matched WT. (for climbing assay: mean ± s.e.m. of 10 biological repeats with 10 male flies for each repeats; student t test; for oxidation tests: 25 °C, n > 100 male flies per genotype for curve, log-rank test). Genotypes (fly total number (death / censored)): WT: 5905 (196 (196 / 0)). Scec244/ + (245 (245 / 0)). Scec244/ + ; Su(z)2c433/ + (202 (201 / 1))
Fig. 5 Reducing ubH2A couples with an effect to promote adult fitness. Analysis of adult phenotypes reveals that Scec244/ + single mutants and Scec244/ + ; Su(z)2c433/ + double mutants have better climbing (a) and enhanced resistance to oxidation (b) than age-matched WT. (for climbing assay: mean ± s.e.m. of 10 biological repeats with 10 male flies for each repeats; student t test; for oxidation tests: 25 °C, n > 100 male flies per genotype for curve, log-rank test). Genotypes (fly total number (death / censored)): WT: 5905 (196 (196 / 0)). Scec244/ + (245 (245 / 0)). Scec244/ + ; Su(z)2c433/ + (202 (201 / 1))CC BY · PubMed Central

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Research works printed but not linked: 51

  1. Kaushik, S. & Cuervo, A. M. Proteostasis and aging. Nat. Med 21, 1406–1415 (2015). · DOI · Paper page
  2. Evelyn, S. Vincow, G. M., Ruth, E. Thomas,. The PINK1–Parkin pathway promotes both mitophagy and selective respiratiory chain turnover in vivo. Proc. Natl Acad. Sci. 110, 6400–6405 (2012). · DOI · Paper page
  3. Visscher, M. et al. Proteome-wide changes in protein turnover rates in C. elegans models of longevity and age-related disease. Cell Rep. 16, 3041–3051 (2016). · DOI
  4. Zhang, Y. et al. Proteome scale turnover analysis in live animals using stable isotope metabolic labeling. Anal. Chem. 83, 1665–1672 (2011). · DOI
  5. Komander, D. & Rape, M. The ubiquitin code. Annu. Rev. Biochem. 81, 203–229 (2012). · DOI · Paper page
  6. Welchman, R. L., Gordon, C. & Mayer, R. J. Ubiquitin and ubiquitin-like proteins as multifunctional signals. Nat. Rev. Mol. cell Biol. 6, 599–609 (2005). · DOI
  7. Clague, M. J., Heride, C. & Urbe, S. The demographics of the ubiquitin system. Trends Cell Biol. 25, 417–426 (2015). · DOI
  8. Hershko, A. & Ciechanover, A. The ubiquitin system. Annu. Rev. Biochem. 67, 425–479 (1998). · DOI · Paper page
  9. Ciechanover, A., Heller, H., Elias, S., Haas, A. L. & Hershko, A. ATP-dependent conjugation of reticulocyte proteins with the polypeptide required for protein degradation. Proc. Natl Acad. Sci. USA 77, 1365–1368 (1980). · DOI
  10. Dikic, I. & Bremm, A. DUBs counteract parkin for efficient mitophagy. EMBO J. 33, 2442–2443 (2014). · DOI
  11. Geisler, S. et al. PINK1/Parkin-mediated mitophagy is dependent on VDAC1 and p62/SQSTM1. Nat. Cell Biol. 12, 119–131 (2010). · DOI · Paper page
  12. Kwon, Y. T. & Ciechanover, A. The ubiquitin code in the ubiquitin-proteasome system and autophagy. Trends Biochem Sci. 42, 873–886 (2017). · DOI
  13. Stringer, D. K. & Piper, R. C. A single ubiquitin is sufficient for cargo protein entry into MVBs in the absence of ESCRT ubiquitination. J. cell Biol. 192, 229–242 (2011). · DOI
  14. de Napoles, M. et al. Polycomb group proteins Ring1A/B link ubiquitylation of histone H2A to heritable gene silencing and X inactivation. Dev. Cell 7, 663–676 (2004). · DOI
  15. Lee, T. I. et al. Control of developmental regulators by Polycomb in human embryonic stem cells. Cell 125, 301–313 (2006). · DOI
  16. Boyer, L. A. et al. Polycomb complexes repress developmental regulators in murine embryonic stem cells. Nature 441, 349–353 (2006). · DOI
  17. Endoh, M. et al. Histone H2A mono-ubiquitination is a crucial step to mediate PRC1-dependent repression of developmental genes to maintain ES cell identity. PLoS Genet 8, e1002774 (2012). · DOI
  18. Grima, B., Chelot, E., Xia, R. & Rouyer, F. Role of histone H2A ubiquitination in Polycomb silencing. Nature 431, 869–873 (2004). · DOI
  19. Cao, R., Tsukada, Y. & Zhang, Y. Role of Bmi-1 and Ring1A in H2A ubiquitylation and Hox gene silencing. Mol. Cell 20, 845–854 (2005). · DOI
  20. Gorfinkiel, N. et al. The Drosophila Polycomb group gene Sex combs extra encodes the ortholog of mammalian Ring1 proteins. Mech. Dev. 121, 449–462 (2004). · DOI
  21. Gutierrez, L. et al. The role of the histone H2A ubiquitinase Sce in Polycomb repression. Development 139, 117–127 (2012). · DOI
  22. Lo, S. M., Ahuja, N. K. & Francis, N. J. Polycomb group protein Suppressor 2 of zeste is a functional homolog of Posterior Sex Combs. Mol. Cell Biol. 29, 515–525 (2009). · DOI
  23. Goldknopf, I. L. & Busch, H. Isopeptide linkage between nonhistone and histone 2A polypeptides of chromosomal conjugate-protein A24. Proc. Natl Acad. Sci. USA 74, 864–868 (1977). · DOI
  24. Pengelly, A. R., Kalb, R., Finkl, K. & Muller, J. Transcriptional repression by PRC1 in the absence of H2A monoubiquitylation. Genes Dev. 29, 1487–1492 (2015). · DOI
  25. Nakata, S. et al. The dynamics of histone H2A ubiquitination in HeLa cells exposed to rapamycin, ethanol, hydroxyurea, ER stress, heat shock and DNA damage. Biochem. Biophys. Res. Commun. 472, 46–52 (2016). · DOI
  26. Meas, R. & Mao, P. Histone ubiquitylation and its roles in transcription and DNA damage response. DNA Repair (Amst.) 36, 36–42 (2015). · DOI
  27. Ren, X. et al. Optimized gene editing technology for Drosophila melanogaster using germ line-specific Cas9. Proc. Natl Acad. Sci. USA 110, 19012–19017 (2013). · DOI
  28. Morillo Prado, J. R., Chen, X. & Fuller, M. T. Polycomb group genes Psc and Su(z)2 maintain somatic stem cell identity and activity in Drosophila. PLoS ONE 7, e52892 (2012). · DOI
  29. Zhu, P. et al. A histone H2A deubiquitinase complex coordinating histone acetylation and H1 dissociation in transcriptional regulation. Mol. Cell 27, 609–621 (2007). · DOI
  30. Zhou, W. et al. Histone H2A monoubiquitination represses transcription by inhibiting RNA polymerase II transcriptional elongation. Mol. Cell 29, 69–80 (2008). · DOI
  31. Schieber, M. & Chandel, N. S. TOR signaling couples oxygen sensing to lifespan in C. elegans. Cell Rep. 9, 9–15 (2014). · DOI
  32. D’Angelo, M. A., Raices, M., Panowski, S. H. & Hetzer, M. W. Age-dependent deterioration of nuclear pore complexes causes a loss of nuclear integrity in postmitotic cells. Cell 136, 284–295 (2009). · DOI · Paper page
  33. Mouchiroud, L. et al. The NAD(+)/sirtuin pathway modulates longevity through activation of mitochondrial UPR and FOXO signaling. Cell 154, 430–441 (2013). · DOI · Paper page
  34. Vernace, V. A., Arnaud, L., Schmidt-Glenewinkel, T. & Figueiredo-Pereira, M. E. Aging perturbs 26S proteasome assembly in Drosophila melanogaster. FASEB J. 21, 2672–2682 (2007). · DOI
  35. Wang, H. et al. Role of histone H2A ubiquitination in Polycomb silencing. Nature 431, 873–878 (2004). · DOI
  36. Nakagawa, T. et al. Deubiquitylation of histone H2A activates transcriptional initiation via trans-histone cross-talk with H3K4 di- and trimethylation. Genes Dev. 22, 37–49 (2008). · DOI
  37. Rhie, B. H., Song, Y. H., Ryu, H. Y. & Ahn, S. H. Cellular aging is associated with increased ubiquitylation of histone H2B in yeast telomeric heterochromatin. Biochem Biophys. Res Commun. 439, 570–575 (2013). · DOI
  38. Ni, Z., Ebata, A., Alipanahiramandi, E., Lee, S. S. & Two, S. E. T. domain containing genes link epigenetic changes and aging in Caenorhabditis elegans. Aging Cell 11, 315–325 (2012). · DOI
  39. Maures, T. J., Greer, E. L., Hauswirth, A. G. & Brunet, A. The H3K27 demethylase UTX-1 regulates C. elegans lifespan in a germline-independent, insulin-dependent manner. Aging Cell 10, 980–990 (2011). · DOI · Paper page
  40. Wisniewski, J. R., Zougman, A., Nagaraj, N. & Mann, M. Universal sample preparation method for proteome analysis. Nat. Methods 6, 359–362 (2009). · DOI · Paper page
  41. Xu, G., Paige, J. S. & Jaffrey, S. R. Global analysis of lysine ubiquitination by ubiquitin remnant immunoaffinity profiling. Nat. Biotechnol. 28, 868–873 (2010). · DOI
  42. Kim, W. et al. Systematic and quantitative assessment of the ubiquitin-modified proteome. Mol. Cell 44, 325–340 (2011). · DOI
  43. Park, S. K. et al. Census 2: isobaric labeling data analysis. Bioinformatics 30, 2208–2209 (2014). · DOI
  44. Park, S. K., Venable, J. D., Xu, T. & Yates, J. R. 3rd A quantitative analysis software tool for mass spectrometry-based proteomics. Nat. Methods 5, 319–322 (2008). · DOI
  45. MacLean, B. et al. Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics 26, 966–968 (2010). · DOI · Paper page
  46. Deshpande, S. A. et al. Quantifying Drosophila food intake: comparative analysis of current methodology. Nat. Methods 11, 535–540 (2014). · DOI
  47. Dobin, A. et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics 29, 15–21 (2013). · DOI · Paper page
  48. Anders, S., Pyl, P. T. & Huber, W. HTSeq--a Python framework to work with high-throughput sequencing data. Bioinformatics 31, 166–169 (2015). · DOI · Paper page
  49. Anders, S. & Huber, W. Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010). · DOI · Paper page
  50. Huang da, W., Sherman, B. T. & Lempicki, R. A. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res. 37, 1–13 (2009). · DOI · Paper page
  51. Huang da, W., Sherman, B. T. & Lempicki, R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 4, 44–57 (2009). · DOI · Paper page

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Authors
Yang, L., Ma, Z., Wang, H., Niu, K., Cao, Y., Sun, L., Geng, Y., Yang, B., Gao, F., Chen, Z., Wu, Z., Li, Q., Shen, Y., Zhang, X., Jiang, H., Chen, Y., Liu, R., Liu, N., & Zhang, Y.
Venue
Nature Communications
Published
2019-05-21
Volume
10
Issue
1
ISSN
2041-1723
Cited by
40
References
14
Language
en
Funders
National Natural Science Foundation of China (31671428, 31500665, 31530041)

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Yang, L., Ma, Z., Wang, H., Niu, K., Cao, Y., Sun, L., Geng, Y., Yang, B., Gao, F., Chen, Z., Wu, Z., Li, Q., Shen, Y., Zhang, X., Jiang, H., Chen, Y., Liu, R., Liu, N., & Zhang, Y. (2019). Ubiquitylome study identifies increased histone 2A ubiquitylation as an evolutionarily conserved aging biomarker. Nature Communications. https://doi.org/10.1038/s41467-019-10136-w