The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Multi-omic Profiling Reveals Dynamics of the Phased Progression of Pluripotency
Open accessPublished version of a preprint
Abstract
Pluripotency is highly dynamic and progresses through a continuum of pluripotent stem cell states. The two states that bookend the pluripotency continuum, naive and primed, are well characterized, but our understanding of the intermediate states and transitions between them remains incomplete. Here, we dissect the dynamics of pluripotent state transitions underlying pre- to post-implantation epiblast differentiation. Through comprehensive mapping of the proteome, phosphoproteome, transcriptome, and epigenome of embryonic stem cells transitioning from naive to primed pluripotency, we find that rapid, acute, and widespread changes to the phosphoproteome precede ordered changes to the epigenome, transcriptome, and proteome. Reconstruction of the kinase-substrate networks reveals signaling cascades, dynamics, and crosstalk. Distinct waves of global proteomic changes mark discrete phases of pluripotency, with cell-state-specific surface markers tracking pluripotent state transitions. Our data provide new insights into multi-layered control of the phased progression of pluripotency and a foundation for modeling mechanisms regulating pluripotent state transitions (www.stemcellatlas.org).
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
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855
Self-citationIn silico prediction of protein-protein interactions in human macrophages
Souiai, O., Guerfali, F. Z., Miled, S. B., Brun, C., & Benkahla, A. (2014) · BMC Research Notes · doi:10.1186/1756-0500-7-157 · Cited by 10,785
Significance analysis of microarrays applied to the ionizing radiation response
Tusher, V. G., Tibshirani, R., & Chu, G. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.091062498 · Cited by 10,568
Adjusting batch effects in microarray expression data using empirical Bayes methods
Johnson, W. E., Li, C., & Rabinovic, A. (2007) · Biostatistics · doi:10.1093/biostatistics/kxj037 · Cited by 8,658
Flagged first, then by citations
Cited by
Sorted by citations
Ensemble deep learning in bioinformatics
Cao, Y., Geddes, T. A., Yang, J. Y. H., & Yang, P. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-0217-y · Cited by 366
Self-citationH3K18 lactylation marks tissue-specific active enhancers
Galle, E., Wong, C.-W., Ghosh, A., Desgeorges, T., Melrose, K., Hinte, L. C., Castellano‐Castillo, D., Engl, M., de Sousa, J. A., Ruiz‐Ojeda, F. J., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02775-y · Cited by 247
Derivation of Intermediate Pluripotent Stem Cells Amenable to Primordial Germ Cell Specification
Yu, L., Wei, Y., Sun, H., Mahdi, A. K., Pinzón-Arteaga, C. A., Sakurai, M., Schmitz, D. A., Zheng, C., Ballard, E. B., Li, J., et al. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.11.003 · Cited by 194
Applications of transformer-based language models in bioinformatics: a survey
Zhang, S., Fan, R., Liu, Y., Chen, S., Liu, Q., & Zeng, W. (2023) · Bioinformatics Advances · doi:10.1093/bioadv/vbad001 · Cited by 176
Decoding the function of bivalent chromatin in development and cancerPreprint
Kumar, D., Cinghu, S., Oldfield, A., Yang, P., & Jothi, R. (2021) · Genome Research · doi:10.1101/gr.275736.121 · Cited by 139
Self-citationPhosR Enables Processing and Functional Analysis of Phosphoproteomic Data
Kim, H. J., Kim, T.-Y., Hoffman, N. J., Xiao, D., James, D. E., Humphrey, S. J., & Yang, P. (2020) · Cell Reports · doi:10.1016/j.celrep.2021.108771 · Cited by 119
Self-citationFormative pluripotent stem cells show features of epiblast cells poised for gastrulation
Wang, X., Xiang, Y., Yu, Y., Wang, R., Zhang, Y., Xu, Q., Sun, H., Zhao, Z., Jiang, X., Wang, X., et al. (2021) · Cell Research · doi:10.1038/s41422-021-00477-x · Cited by 101
Thomas, H. F., Kotova, E., Jayaram, S., Pilz, A., Romeike, M., Lackner, A., Penz, T., Bock, C., Leeb, M., Halbritter, F., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2020.12.047 · Cited by 98
Personalized phosphoproteomics identifies functional signaling
Needham, E. J., Hingst, J. R., Parker, B. L., Morrison, K. R., Yang, G., Onslev, J., Kristensen, J. M., Højlund, K., Ling, N. X. Y., Oakhill, J. S., et al. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01099-9 · Cited by 94
Self-citationFazakerley, D. J., van Gerwen, J., Cooke, K. C., Duan, X., Needham, E. J., Díaz‐Vegas, A., Madsen, S., Norris, D. M., Shun-Shion, A. S., Krycer, J. R., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36549-2 · Cited by 83
Self-citationAbscission Couples Cell Division to Embryonic Stem Cell Fate
Chaigne, A., Labouesse, C., White, I. J., Agnew, M., Hannezo, É., Chalut, K. J., & Paluch, E. K. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.001 · Cited by 69
Glancy, E., Wang, C., Tuck, E., Healy, E., Amato, S., Neikes, H. K., Mariani, A., Mucha, M., Vermeulen, M., Pasini, D., et al. (2023) · Molecular Cell · doi:10.1016/j.molcel.2023.03.018 · Cited by 71
Enhancer cooperativity can compensate for loss of activity over large genomic distances
Thomas, H., Feng, S., Haslhofer, F., Huber, M., Gallardo, M. G., Loubière, V., Vanina, D., Pitasi, M., Stark, A., & Buecker, C. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.11.008 · Cited by 59
Global phosphoproteomics reveals DYRK1A regulates CDK1 activity in glioblastoma cells
Recasens, A., Humphrey, S. J., Ellis, M., Hoque, M., Abbassi, R. H., Chen, B., Longworth, M., Needham, E. J., James, D. E., Johns, T. G., et al. (2021) · Cell Death Discovery · doi:10.1038/s41420-021-00456-6 · Cited by 52
Self-citationEnhancer-associated H3K4 methylation safeguards in vitro germline competence
Bleckwehl, T., Crispatzu, G., Schaaf, K., Respuela, P., Bartusel, M., Benson, L. J., Clark, S. J., Dorighi, K. M., Barral, A., Laugsch, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26065-6 · Cited by 54
Multi-omics profiling visualizes dynamics of cardiac development and functions
Gu, Y., Zhou, Y., Ju, S., Liu, X., Zhang, Z., Guo, J., Gao, J., Zang, J., Sun, H., Chen, Q., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111891 · Cited by 50
Fine-tuning of gene expression through the Mettl3-Mettl14-Dnmt1 axis controls ESC differentiation
Quarto, G., Li Greci, A., Bizet, M., Penning, A., Primac, I., Murisier, F., Garcia-Martinez, L., Borges, R. L., Gao, Q., Cingaram, P. K. R., et al. (2025) · Cell · doi:10.1016/j.cell.2024.12.009 · Cited by 50
Luque, A. V., Savill, R. G., López-Anguita, N., Bolondi, A., Garai, S., Gassaloglu, S. I., Rouatbi, R., Schmeißer, K., Poddar, A., Bauer, L., et al. (2025) · Cell stem cell · doi:10.1016/j.stem.2025.03.012 · Cited by 51
noisyR : enhancing biological signal in sequencing datasets by characterizing random technical noise
Moutsopoulos, I., Maischak, L., Lauzikaite, E., Urbina, S. A. V., Williams, E. C., Drost, H., & Mohorianu, I. I. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab433 · Cited by 43
Esrrb guides naive pluripotent cells through the formative transcriptional programme
Carbognin, E., Carlini, V., Panariello, F., Chieregato, M., Guerzoni, E., Benvegnù, D., Perrera, V., Malucelli, C., Cesana, M., Grimaldi, A., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01131-x · Cited by 37
Chromatin and Epigenetic Rearrangements in Embryonic Stem Cell Fate Transitions
Sun, L., Fu, X., Ma, G., & Hutchins, A. P. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.637309 · Cited by 38
Zhang, H., Ji, S., Zhang, K., Chen, Y., Ming, J., Kong, F., Wang, L., Wang, S., Zou, Z., Xiong, Z., et al. (2023) · Genome biology · doi:10.1186/s13059-023-02997-8 · Cited by 37
The Key Role of MicroRNAs in Self-Renewal and Differentiation of Embryonic Stem Cells
Divisato, G., Passaro, F., Russo, T., & Parisi, S. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21176285 · Cited by 38
Computational Stem Cell Biology: Open Questions and Guiding Principles
Cahan, P., Cacchiarelli, D., Dunn, S.-J., Hemberg, M., Lopes, S. M. C. D. S., Morris, S. A., Rackham, O. J. L., del Sol, A., & Wells, C. A. (2021) · Cell stem cell · doi:10.1016/j.stem.2020.12.012 · Cited by 38
RNA polymerase II pausing in development: orchestrating transcription
Abuhashem, A., Garg, V., & Hadjantonakis, A. (2022) · Open Biology · doi:10.1098/rsob.210220 · Cited by 38
Needham, E. J., Humphrey, S. J., Cooke, K. C., Fazakerley, D. J., Duan, X., Parker, B. L., & James, D. E. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.10.001 · Cited by 33
Self-citationINO80 promotes H2A.Z occupancy to regulate cell fate transition in pluripotent stem cells
Yu, H., Wang, J., Lackford, B. L., Bennett, B. D., Li, J., & Hu, G. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab476 · Cited by 34
Boileau, R. M., Chen, K. X., & Blelloch, R. H. (2023) · Genome biology · doi:10.1186/s13059-023-02883-3 · Cited by 35
A proteome signature for acute incisional pain in dorsal root ganglia of mice
Pogatzki-Zahn, E. M., Gómez‐Varela, D., Erdmann, G., Kaschube, K., Segelcke, D., & Schmidt, M. (2021) · Pain · doi:10.1097/j.pain.0000000000002207 · Cited by 33
Stirred suspension bioreactors maintain naïve pluripotency of human pluripotent stem cells
Rohani, L., Borys, B. S., Razian, G., Naghsh, P., Liu, S., Johnson, A. A., Machiraju, P., Holland, H., Lewis, I. A., Groves, R. A., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-01218-3 · Cited by 31
Cardiopoietic stem cell therapy restores infarction-altered cardiac proteome
Arrell, D. K., Rosenow, C. S., Yamada, S., Behfar, A., & Terzic, A. (2020) · npj Regenerative Medicine · doi:10.1038/s41536-020-0091-6 · Cited by 30
Dissection of two routes to naïve pluripotency using different kinase inhibitors
Martínez‐Val, A., Lynch, C. J., Calvo, I., Ximénez‐Embún, P., Garcı́a, F., Zarzuela, E., Serrano, M., & Muñoz, J. (2021) · Nature Communications · doi:10.1038/s41467-021-22181-5 · Cited by 30
Trafficking regulator of GLUT4-1 (TRARG1) is a GSK3 substrate
Duan, X., Norris, D. M., Humphrey, S. J., Yang, P., Cooke, K. C., Bultitude, W. P., Parker, B. L., Conway, O. J., Burchfield, J. G., Krycer, J. R., et al. (2022) · Biochemical Journal · doi:10.1042/bcj20220153 · Cited by 23
Self-citationMolecular versatility during pluripotency progression
Furlan, G., Huyghe, A., Combémorel, N., & Lavial, F. (2023) · Nature Communications · doi:10.1038/s41467-022-35775-4 · Cited by 18
Norris, D. M., Yang, P., Shin, S., Kearney, A. L., Kim, H. J., Geddes, T. A., Senior, A. M., Fazakerley, D. J., Nguyen, L. K., James, D. E., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102118 · Cited by 19
Self-citationRNA Pol II pausing facilitates phased pluripotency transitions by buffering transcriptionPreprint
Abuhashem, A., Chivu, A. G., Zhao, Y., Rice, E. J., Siepel, A. C., Danko, C. G., & Hadjantonakis, A. (2022) · Genes & Development · doi:10.1101/gad.349565.122 · Cited by 22
FoxO transcription factors actuate the formative pluripotency specific gene expression programme
Santini, L., Kowald, S., Cerron-Alvan, L. M., Huth, M., Fabing, A. P., Sestini, G., Rivron, N. C., & Leeb, M. (2024) · Nature Communications · doi:10.1038/s41467-024-51794-9 · Cited by 22
Arekatla, G., Trenzinger, C., Reimann, A., Loeffler, D., Kull, T., & Schroeder, T. (2023) · Developmental Cell · doi:10.1016/j.devcel.2023.04.013 · Cited by 19
Impact of eIF2α phosphorylation on the translational landscape of mouse embryonic stem cells
Amiri, M., Kiniry, S. J., Possemato, A. P., Mahmood, N., Basiri, T., Dufour, C. R., Tabatabaei, N., Deng, Q., Bellucci, M. A., Harwalkar, K., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113615 · Cited by 21
Sangokoya, C., & Blelloch, R. H. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002750117 · Cited by 18
Moutsopoulos, I., Williams, E. C., & Mohorianu, I. I. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac591 · Cited by 19
Three-dimensional geometry controls division symmetry in stem cell colonies
Chaigne, A., Smith, M. B., Cavestany, R. L., Hannezo, É., Chalut, K. J., & Paluch, E. K. (2021) · Journal of Cell Science · doi:10.1242/jcs.255018 · Cited by 17
Progression of the pluripotent epiblast depends upon the NMD factor UPF2
Chousal, J. N., Sohni, A., Vitting‐Seerup, K., Cho, K., Kim, M., Tan, K., Porse, B. T., Wilkinson, M., & Cook‐Andersen, H. (2022) · Development · doi:10.1242/dev.200764 · Cited by 20
A high-content endogenous GLUT4 trafficking assay reveals new aspects of adipocyte biology
Díaz‐Vegas, A., Norris, D. M., Jall-Rogg, S., Cooke, K. C., Conway, O. J., Shun-Shion, A. S., Duan, X., Potter, M., van Gerwen, J., Baird, H. J. M., et al. (2022) · Life Science Alliance · doi:10.26508/lsa.202201585 · Cited by 17
Self-citationThe application of cell surface markers to demarcate distinct human pluripotent states
Goodwin, J., Laslett, A. L., & Rugg‐Gunn, P. J. (2019) · Experimental Cell Research · doi:10.1016/j.yexcr.2019.111749 · Cited by 18
Qin, W., Ugur, E., Mulholland, C. B., Bultmann, S., Solovei, I. V., Modic, M., Smets, M., Wierer, M., Forné, I., Imhof, A., et al. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab548 · Cited by 18
Kim, H. J., Osteil, P., Humphrey, S. J., Cinghu, S., Oldfield, A., Patrick, E., Wilkie, E. E., Peng, G., Suo, S., Jothi, R., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz1179 · Cited by 18
Self-citationTemporal ordering of omics and multiomic events inferred from time-series data
Kaur, S., Peters, T. J., Yang, P., Luu, L. D. W., Vuong, J., Krycer, J. R., & O’Donoghue, S. I. (2020) · npj Systems Biology and Applications · doi:10.1038/s41540-020-0141-0 · Cited by 15
Self-citationMetabolic characterization of a paused-like pluripotent state
Sousa, M. I., Correia, B., Rodrigues, A. S., & Ramalho‐Santos, J. (2020) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2020.129612 · Cited by 16
Pecori, F., Yokota, I., Hanamatsu, H., Miura, T., Ogura, C., Ota, H., Furukawa, J., Oki, S., Yamamoto, K., Yoshie, O., et al. (2021) · Scientific Reports · doi:10.1038/s41598-020-79666-4 · Cited by 17
Unraveling the Spatiotemporal Human Pluripotency in Embryonic Development
Ávila‐González, D., Portillo, W., García-López, G., Molina‐Hernández, A., Diaz-Martinez, N. E., & Díaz, N. F. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.676998 · Cited by 17
Krumm, J., Sekine, K., Samaras, P., Brazovskaja, A., Breunig, M., Yasui, R., Kleger, A., Taniguchi, H., Wilhelm, M., Treutlein, B., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110604 · Cited by 15
Nanog regulates Pou3f1 expression at the exit from pluripotency during gastrulation
Barral, A., Rollan, I., Sánchez-Iranzo, H., Jawaid, W., Badía-Careaga, C., Menchero, S., Gómez, M., Torroja, C., Sánchez-Cabo, F., Göttgens, B., et al. (2019) · Biology Open · doi:10.1242/bio.046367 · Cited by 14
Ugur, E., de la Porte, A., Qin, W., Bultmann, S., Ivanova, A., Drukker, M., Mann, M., Wierer, M., & Leonhardt, H. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad058 · Cited by 12
Self-citationLyu, X., Cui, Y., Kong, Y., Yang, M., Shen, H., Liao, S., Li, S., An, C., Wang, H., Zhang, Z., et al. (2024) · Molecular Cell · doi:10.1016/j.molcel.2024.06.005 · Cited by 12
Yuan, F., Yang, J., Ma, F., Hu, Z., Malik, V., Zang, R., Li, D., Shi, X., Huang, X., Zhou, H., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-57165-2 · Cited by 14
Self-citationXiao, Y., Sosa, F., Ross, P. J., Diffenderfer, K. E., & Hansen, P. J. (2021) · Biology Open · doi:10.1242/bio.058669 · Cited by 13
Computational systems approach towards phosphoproteomics and their downstream regulation
Xiao, D., Chen, C., & Yang, P. (2022) · PROTEOMICS · doi:10.1002/pmic.202200068 · Cited by 12
Self-citationSharaireh, A. M., FitzPatrick, L. M., Ward, C. M., McKay, T. R., & Unwin, R. D. (2020) · Stem Cells · doi:10.1002/stem.3249 · Cited by 11
Luu, L. D. W., Zhong, L., Kaur, S., Raftery, M. J., & Lan, R. (2021) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2021.660280 · Cited by 11
Matsuzaki, F., Uda, S., Yamauchi, Y., Matsumoto, M., Soga, T., Maehara, K., Ohkawa, Y., Nakayama, K. I., Kuroda, S., & Kubota, H. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109569 · Cited by 11
Poised PABP–RNA hubs implement signal-dependent mRNA decay in development
Modic, M., Kuret, K., Steinhauser, S., Faraway, R., van Genderen, E., Mozos, I. R. D. L., Novljan, J., Vičič, Ž., Lee, F. C. Y., ten Berge, D., et al. (2024) · Nature Structural & Molecular Biology · doi:10.1038/s41594-024-01363-x · Cited by 11
Transcriptional and epigenetic control of germline competence and specification.
Bleckwehl, T., & Rada-Iglesias, Á. (2019) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2019.05.006 · Cited by 10
Combinatorial metabolism drives the naive to primed pluripotent chromatin landscape
Ehnes, D. D., Hussein, A. M., Ware, C. B., Mathieu, J., & Ruohola‐Baker, H. (2020) · Experimental Cell Research · doi:10.1016/j.yexcr.2020.111913 · Cited by 12
Aurora B controls microtubule stability to regulate abscission dynamics in stem cells
Kodba, S., Öztop, A., van Berkum, E., Katrukha, E. A., Iwanski, M. K., Nijenhuis, W., Kapitein, L. C., & Chaigne, A. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115238 · Cited by 11
Gökbuget, D., Goehring, L. J., Boileau, R. M., Lenshoek, K., Huang, T. T., & Blelloch, R. H. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115272 · Cited by 9
A systems view of cellular heterogeneity: Unlocking the “wheel of fate”
Movasat, H., Giacopino, E., Shahdoost, A., Nokoorani, Y. D., Abrbekouh, A. H., Tahamtani, Y., & Shakiba, N. (2025) · Cell Systems · doi:10.1016/j.cels.2025.101300 · Cited by 15
A Review of Complex Systems Approaches to Cancer Networks
Uthamacumaran, A. (2020) · Complex Systems · doi:10.25088/complexsystems.29.4.779 · Cited by 10
Functional analysis of the stable phosphoproteome reveals cancer vulnerabilities
Xiao, D., Kim, H. J., Pang, C. N. I., & Yang, P. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac015 · Cited by 8
Self-citationModeling the early development of a primate embryo
Tam, P. (2019) · Science · doi:10.1126/science.aaz6976 · Cited by 9
Epigenetics as “conductor” in “orchestra” of pluripotent states
Baral, I., Varghese, P. C., & Dutta, D. (2022) · Cell and Tissue Research · doi:10.1007/s00441-022-03667-0 · Cited by 9
Waisman, A., Sevlever, F., Saulnier, D., Francia, M. G., Blanco, R., Amín, G., Lombardi, A., Biani, C., Palma, M. B., Scarafía, A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-59247-5 · Cited by 8
Enhancer-associated H3K4 methylation safeguards in vitro germline competence
Bleckwehl, T., Crispatzu, G., Schaaf, K., Respuela, P., Bartusel, M., Benson, L. J., Clark, S. J., Dorighi, K. M., Barral, A., Laugsch, M., et al. (2020) · Kölner Universitäts PublikationsServer (Universität zu Köln) · doi:10.17863/cam.76317 · Cited by 8
Xiao, D., Caldow, M. K., Kim, H. J., Blazev, R., Koopman, R., Manandi, D., Parker, B. L., & Yang, P. (2022) · iScience · doi:10.1016/j.isci.2022.104489 · Cited by 8
Self-citationOrganelle biogenesis: ribosomes as organizer and performer
Wang, Q., Wang, Y., Li, S., Zhou, A., & Qin, Y. (2022) · 中国科学通报:英文版 · doi:10.1016/j.scib.2022.07.023 · Cited by 8
Integrative analysis reveals histone demethylase LSD1 promotes RNA polymerase II pausing
Kim, H. J., Li, P., Kim, T.-Y., Oldfield, A., Zheng, X., & Yang, P. (2022) · iScience · doi:10.1016/j.isci.2022.105049 · Cited by 7
Self-citationQuantitative Proteomics and Phosphoproteomics Analysis of Patient-Derived Ovarian Cancer Stem Cells
Franciosa, G., Nieddu, V., Battistini, C., Caffarini, M., Lupia, M., Colombo, N., Fusco, N., Olsen, J. V., & Cavallaro, U. (2025) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2025.100965 · Cited by 7
Vega-Sendino, M., Olbrich, T., Tillo, D., Tran, A. D., Domingo, C. N., Franco, M., FitzGerald, P. C., Kruhlak, M. J., & Ruiz, S. (2021) · Science Advances · doi:10.1126/sciadv.abg8306 · Cited by 7
Culture of Neurospheres Derived from the Neurogenic Niches in Adult Prairie Voles
Ávila‐González, D., Young, L. J., Camacho, F., Paredes, R. G., Díaz, N. F., & Portillo, W. (2020) · Journal of Visualized Experiments · doi:10.3791/61402 · Cited by 7
SRRM2 splicing factor modulates cell fate in early development
Carvalho, S., Zea-Redondo, L., Tang, T. C. C., Stachel-Braum, P., Miller, D. C., Caldas, P., Kukalev, A., Diecke, S., Grosswendt, S., Grosso, A. R., et al. (2024) · Biology Open · doi:10.1242/bio.060415 · Cited by 9
Lee, U., Laguillo-Diego, A., Magliulo, D., Wong, W., Kasliwal, K., Ni, Z., Cheng, L., Li, J., Pelham‐Webb, B., Pertsinidis, A., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02556-4 · Cited by 10
Xiao, D., Lin, M., Liu, C., Geddes, T. A., Burchfield, J. G., Parker, B. L., Humphrey, S. J., & Yang, P. (2023) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqad099 · Cited by 5
Self-citationSun, L., Yin, Y., Cao, Y., Chen, C., Guo, Y., Cai, Z., Wu, J., & Li, Q. (2024) · Biophysics Reports · doi:10.52601/bpr.2024.240045 · Cited by 5
AMPK activation by glycogen expenditure primes the exit of naïve pluripotency
Kim, S.-M., Kwon, E., Oh, J., Kim, H. S., Park, S., Jang, G., Tae, J., Kim, K.-T., & Cha, H. (2025) · EMBO Reports · doi:10.1038/s44319-025-00384-x · Cited by 6
Bivalent chromatin protects reversibly repressed genes from irreversible silencingPreprint
Kumar, D., & Jothi, R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.02.406751 · Cited by 7
Self-citationMLL3/MLL4 enzymatic activity shapes DNA replication timingPreprint
Gökbuget, D., Boileau, R. M., Lenshoek, K., & Blelloch, R. H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.07.569680 · Cited by 5
Steindel, M., Davis, O., Neumann, K., Agsu, G. G., Mao, L., Kranz, A., Pirvan, L., Adhya, D., Morf, J., Zhang, Z., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.21.639010 · Cited by 5
RNA Degradation in Pluripotent Stem Cells: Mechanisms, Crosstalk, and Fate Regulation
Jeong, S., Oh, M., Han, J., & Kim, S.-K. (2025) · Cells · doi:10.3390/cells14201634 · Cited by 4
Oses, C., Francia, M. G., Verneri, P., Echegaray, C. V., Guberman, A., & Levi, V. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1125015 · Cited by 6
TASOR expression in naive embryonic stem cells safeguards their developmental potential
Pinzón-Arteaga, C. A., O’Hara, R. A., Mazzagatti, A., Ballard, E. B., Hu, Y., Pan, A., Schmitz, D. A., Wei, Y., Sakurai, M., Ly, P., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114887 · Cited by 5
Ávila‐González, D., Portillo, W., Barragán-Álvarez, C. P., Hernández‐Montes, G., Flores-Garza, E., Molina‐Hernández, A., Diaz-Martinez, N. E., & Díaz, N. F. (2022) · eLife · doi:10.7554/elife.68035 · Cited by 4
Wu, Y., Sun, H., Qin, L., Zhang, X., Zhou, H., Wang, Y., Wang, L., Li, M., Liu, J., & Zhang, J. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1149659 · Cited by 4
Dong, M., Zhang, Z., Li, Z., Yan, T., Henawy, A. R., Meng, Y., Li, Y. H., Li, M., Huang, F., Cai, M., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.12.018 · Cited by 4
The FIRE biosensor illuminates iron regulatory protein activity and cellular iron homeostasis
Sangokoya, C. (2025) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100960 · Cited by 3
Soliman, S. S., Shah, D. H., El‐Samad, H., & Weinberg, Z. Y. (2025) · Development · doi:10.1242/dev.204505 · Cited by 3
Ubiquitin Dynamics in Stem Cell Biology: Current Challenges and Perspectives
de Dieuleveult, M., & Miotto, B. (2020) · BioEssays · doi:10.1002/bies.201900129 · Cited by 2
Guo, G., Yang, J., Guo, W., Deng, H., Yu, H., Bai, S., Li, G., Tang, Y., Ping, Z., Xu, Y., et al. (2023) · Stroke and Vascular Neurology · doi:10.1136/svn-2022-002165 · Cited by 3
Self-citationWang, J., Zhang, C., Huang, Y., Ruan, Y., Yan, H., Wang, J., Wang, F., Yu, M., Xu, Y., Liu, L., et al. (2023) · Stem Cells and Development · doi:10.1089/scd.2023.0053 · Cited by 3
AKT1 induces Nanog promoter in a SUMOylation-dependent manner in different pluripotent contexts
Francia, M. G., Verneri, P., Oses, C., Echegaray, C. V., García, M. R., Toro, A. R., Levi, V., & Guberman, A. (2023) · BMC Research Notes · doi:10.1186/s13104-023-06598-3 · Cited by 3
Dehghanian, F., Bovio, P. P., Gather, F., Probst, S., Nilchi, A. N., & Vogel, T. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2024.119686 · Cited by 3
Metadata
- Authors
- Yang, P., Humphrey, S. J., Cinghu, S., Pathania, R., Oldfield, A. J., Kumar, D., Perera, D., Yang, J. Y. H., James, D. E., Mann, M., & Jothi, R.
- Affiliations
- The University of Sydney (AU)
- National Institutes of Health (US)
- Max Planck Institute of Biochemistry (DE)
- Corresponding author
- Yang, Pengyi
- Humphrey, Sean J.
- Jothi, Raja
- ORCID
- Venue
- Cell Systems
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 8
- Issue
- 5
- Pages
- 427-445.e10
- ISSN
- 2405-4712 (ISSN-L)
- PMC
- PMC6544180
- OpenAlex
- W2950402574
- Cited by
- 146
- References
- 109
- Citations by year
- 2026: 6 · 2025: 21 · 2024: 14 · 2023: 28 · 2022: 25 · 2021: 26 · 2020: 20 · 2019: 6
- FWCI
- 6.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Cell Systems (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion, cc-by-nc-nd)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg
- Australian Research Council
- National Institutes of Health
- European Molecular Biology Organization
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- pluripotency, naive pluripotency, primed pluripotency, embryonic stem cells, phosphoproteome, proteome, transcriptome, epigenome, signaling pathways
- MeSH terms
- Epigenome, Animals, Cell Differentiation, Germ Layers, Humans, Signal Transduction, Gene Expression Regulation, Developmental, Cell Lineage, Proteome, Pluripotent Stem Cells, Embryonic Stem Cells, Transcriptome
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