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Han X, Xing L, Hong Y, Zhang X, Hao B, Lu JY, Huang M, Wang Z, Ma S, Zhan G, Li T, Hao X, Tao Y, Li G, Zhou S, Zheng Z, Shao W, Zeng Y, Ma D, Zhang W, Xie Z, Deng H, Yan J, Deng W, Shen X. Nuclear RNA homeostasis promotes systems-level coordination of cell fate and senescence. Cell Stem Cell 2024; 31:694-716.e11. [PMID: 38631356 DOI: 10.1016/j.stem.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 02/01/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Understanding cellular coordination remains a challenge despite knowledge of individual pathways. The RNA exosome, targeting a wide range of RNA substrates, is often downregulated in cellular senescence. Utilizing an auxin-inducible system, we observed that RNA exosome depletion in embryonic stem cells significantly affects the transcriptome and proteome, causing pluripotency loss and pre-senescence onset. Mechanistically, exosome depletion triggers acute nuclear RNA aggregation, disrupting nuclear RNA-protein equilibrium. This disturbance limits nuclear protein availability and hinders polymerase initiation and engagement, reducing gene transcription. Concurrently, it promptly disrupts nucleolar transcription, ribosomal processes, and nuclear exporting, resulting in a translational shutdown. Prolonged exosome depletion induces nuclear structural changes resembling senescent cells, including aberrant chromatin compaction, chromocenter disassembly, and intensified heterochromatic foci. These effects suggest that the dynamic turnover of nuclear RNA orchestrates crosstalk between essential processes to optimize cellular function. Disruptions in nuclear RNA homeostasis result in systemic functional decline, altering the cell state and promoting senescence.
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Affiliation(s)
- Xue Han
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Linqing Xing
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yantao Hong
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xuechun Zhang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Bo Hao
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - J Yuyang Lu
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Mengyuan Huang
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zuhui Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Shaoqian Ma
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Ge Zhan
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Tong Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Xiaowen Hao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yibing Tao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Guanwen Li
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Shuqin Zhou
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Zheng Zheng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Wen Shao
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Yitian Zeng
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China
| | - Dacheng Ma
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Wenhao Zhang
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Zhen Xie
- MOE Key Laboratory of Bioinformatics and Bioinformatics Division, Center for Synthetic and Systems Biology, Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China
| | - Haiteng Deng
- MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Jiangwei Yan
- SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Wulan Deng
- Biomedical Pioneering Innovation Center (BIOPIC), Beijing Advanced Innovation Center for Genomics (ICG), Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Xiaohua Shen
- State Key Laboratory of Membrane Biology, Beijing Frontier Research Center for Biological Structure, Tsinghua-Peking Joint Center for Life Sciences, School of Basic Medical Sciences, Tsinghua University, Beijing 100084, China; SXMU-Tsinghua Collaborative Innovation Center for Frontier Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, China.
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Yang J, Liu X, Zhao Y, Dong W, Xue Y, Ruan X, Wang P, Liu L, E T, Song J, Cui Z, Liu Y. Mechanism of Dcp2/RNCR3/Dkc1/Snora62 axis regulating neuronal apoptosis in chronic cerebral ischemia. Cell Biol Toxicol 2023; 39:2881-2898. [PMID: 37097350 DOI: 10.1007/s10565-023-09807-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 04/08/2023] [Indexed: 04/26/2023]
Abstract
RNA-binding proteins (RBPs), long non-coding RNAs (lncRNAs), and small nucleolar RNAs (snoRNAs) were found to play crucial regulatory roles in ischemic injury. Based on GEO databases and our experimental results, we selected Dcp2, lncRNA-RNCR3, Dkc1, and Snora62 and Foxh1 as research candidates. We found that expression levels of Dcp2, RNCR3, Dkc1, Snora62, and Foxh1 were upregulated in oxygen glucose deprivation-treated HT22 cells and hippocampal tissues subject to chronic cerebral ischemia (CCI). Silencing of Dcp2, RNCR3, Dkc1, Snora62, and Foxh1 all inhibited apoptosis of oxygen glucose deprivation-treated HT22 cells. Moreover, Dcp2 promoted RNCR3 expression by increasing its stability. Importantly, RNCR3 may act as a molecular skeleton to bind to Dkc1 and recruit Dck1 to promote snoRNP assembly. Snora62 was responsible for pseudouridylation at 28S rRNA U3507 and U3509 sites. Pseudouridylation levels of 28S rRNA were reduced after knockdown of Snora62. Decreased pseudouridylation levels inhibited the translational activity of its downstream target, Foxh1. Our study further confirmed that Foxh1 transcriptionally promoted the expression of Bax and Fam162a. Notably, experiments in vivo showed that Dcp2 knockdown combined with RNCR3 knockdown and Snora62 knockdown resulted in an anti-apoptosis effect. In conclusion, this study suggests that the axis Dcp2/RNCR3/Dkc1/Snora621 is important for the regulation of neuronal apoptosis induced by CCI.
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Affiliation(s)
- Jin Yang
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Xiaobai Liu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Yubo Zhao
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Weiwei Dong
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Yixue Xue
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Xuelei Ruan
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Ping Wang
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Libo Liu
- Department of Neurobiology, School of Life Sciences, China Medical University, Shenyang, 110122, China
| | - Tiange E
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Jian Song
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Zheng Cui
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China
| | - Yunhui Liu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
- Key Laboratory of Neuro-Oncology in Liaoning Province, Shenyang, 110004, China.
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research Center, Shenyang, 110004, China.
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Asada R, Dominguez A, Montpetit B. Single-molecule quantitation of RNA-binding protein occupancy and stoichiometry defines a role for Yra1 (Aly/REF) in nuclear mRNP organization. Cell Rep 2023; 42:113415. [PMID: 37963019 PMCID: PMC10841842 DOI: 10.1016/j.celrep.2023.113415] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/09/2023] [Accepted: 10/25/2023] [Indexed: 11/16/2023] Open
Abstract
RNA-binding proteins (RBPs) interact with mRNA to form supramolecular complexes called messenger ribonucleoprotein (mRNP) particles. These dynamic assemblies direct and regulate individual steps of gene expression; however, their composition and functional importance remain largely unknown. Here, we develop a total internal reflection fluorescence-based single-molecule imaging assay to investigate stoichiometry and co-occupancy of 15 RBPs within mRNPs from Saccharomyces cerevisiae. We show compositional heterogeneity of single mRNPs and plasticity across different growth conditions, with major co-occupants of mRNPs containing the nuclear cap-binding complex identified as Yra1 (1-10 copies), Nab2 (1-6 copies), and Npl3 (1-6 copies). Multicopy Yra1-bound mRNPs are specifically co-occupied by the THO complex and assembled on mRNAs biased by transcript length and RNA secondary structure. Yra1 depletion results in decreased compaction of nuclear mRNPs demonstrating a packaging function. Together, we provide a quantitative framework for gene- and condition-dependent RBP occupancy and stoichiometry in individual nuclear mRNPs.
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Affiliation(s)
- Ryuta Asada
- Department of Viticulture and Enology, University of California, Davis, Davis, CA 95616, USA
| | - Andrew Dominguez
- Department of Viticulture and Enology, University of California, Davis, Davis, CA 95616, USA; Biochemistry, Molecular, Cellular, and Developmental Biology Graduate Group, University of California, Davis, Davis, CA 95616, USA
| | - Ben Montpetit
- Department of Viticulture and Enology, University of California, Davis, Davis, CA 95616, USA; Biochemistry, Molecular, Cellular, and Developmental Biology Graduate Group, University of California, Davis, Davis, CA 95616, USA.
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Padilla JCA, Barutcu S, Malet L, Deschamps-Francoeur G, Calderon V, Kwon E, Lécuyer E. Profiling the polyadenylated transcriptome of extracellular vesicles with long-read nanopore sequencing. BMC Genomics 2023; 24:564. [PMID: 37736705 PMCID: PMC10514964 DOI: 10.1186/s12864-023-09552-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 08/03/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND While numerous studies have described the transcriptomes of extracellular vesicles (EVs) in different cellular contexts, these efforts have typically relied on sequencing methods requiring RNA fragmentation, which limits interpretations on the integrity and isoform diversity of EV-targeted RNA populations. It has been assumed that mRNA signatures in EVs are likely to be fragmentation products of the cellular mRNA material, and the extent to which full-length mRNAs are present within EVs remains to be clarified. RESULTS Using long-read nanopore RNA sequencing, we sought to characterize the full-length polyadenylated (poly-A) transcriptome of EVs released by human chronic myelogenous leukemia K562 cells. We detected 443 and 280 RNAs that were respectively enriched or depleted in EVs. EV-enriched poly-A transcripts consist of a variety of biotypes, including mRNAs, long non-coding RNAs, and pseudogenes. Our analysis revealed that 10.58% of all EV reads, and 18.67% of all cellular (WC) reads, corresponded to known full-length transcripts, with mRNAs representing the largest biotype for each group (EV = 58.13%, WC = 43.93%). We also observed that for many well-represented coding and non-coding genes, diverse full-length transcript isoforms were present in EV specimens, and these isoforms were reflective-of but often in different ratio compared to cellular samples. CONCLUSION This work provides novel insights into the compositional diversity of poly-A transcript isoforms enriched within EVs, while also underscoring the potential usefulness of nanopore sequencing to interrogate secreted RNA transcriptomes.
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Affiliation(s)
- Juan-Carlos A Padilla
- Institut de Recherches Cliniques de Montréal (IRCM), 110 Avenue des Pins, Ouest, Montréal, QC, H2W 1R7, Canada
- Division of Experimental Medicine, McGill University, Montréal, QC, H4A 3J1, Canada
| | - Seda Barutcu
- Institut de Recherches Cliniques de Montréal (IRCM), 110 Avenue des Pins, Ouest, Montréal, QC, H2W 1R7, Canada
| | - Ludovic Malet
- Institut de Recherches Cliniques de Montréal (IRCM), 110 Avenue des Pins, Ouest, Montréal, QC, H2W 1R7, Canada
| | | | - Virginie Calderon
- Institut de Recherches Cliniques de Montréal (IRCM), 110 Avenue des Pins, Ouest, Montréal, QC, H2W 1R7, Canada
| | - Eunjeong Kwon
- Institut de Recherches Cliniques de Montréal (IRCM), 110 Avenue des Pins, Ouest, Montréal, QC, H2W 1R7, Canada
| | - Eric Lécuyer
- Institut de Recherches Cliniques de Montréal (IRCM), 110 Avenue des Pins, Ouest, Montréal, QC, H2W 1R7, Canada.
- Division of Experimental Medicine, McGill University, Montréal, QC, H4A 3J1, Canada.
- Département de Biochimie et de Médecine Moléculaire, Université de Montréal, Montréal, QC, H3T 1J4, Canada.
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Rodríguez‐Molina JB, Turtola M. Birth of a poly(A) tail: mechanisms and control of mRNA polyadenylation. FEBS Open Bio 2023; 13:1140-1153. [PMID: 36416579 PMCID: PMC10315857 DOI: 10.1002/2211-5463.13528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/17/2022] [Accepted: 11/22/2022] [Indexed: 11/24/2022] Open
Abstract
During their synthesis in the cell nucleus, most eukaryotic mRNAs undergo a two-step 3'-end processing reaction in which the pre-mRNA is cleaved and released from the transcribing RNA polymerase II and a polyadenosine (poly(A)) tail is added to the newly formed 3'-end. These biochemical reactions might appear simple at first sight (endonucleolytic RNA cleavage and synthesis of a homopolymeric tail), but their catalysis requires a multi-faceted enzymatic machinery, the cleavage and polyadenylation complex (CPAC), which is composed of more than 20 individual protein subunits. The activity of CPAC is further orchestrated by Poly(A) Binding Proteins (PABPs), which decorate the poly(A) tail during its synthesis and guide the mRNA through subsequent gene expression steps. Here, we review the structure, molecular mechanism, and regulation of eukaryotic mRNA 3'-end processing machineries with a focus on the polyadenylation step. We concentrate on the CPAC and PABPs from mammals and the budding yeast, Saccharomyces cerevisiae, because these systems are the best-characterized at present. Comparison of their functions provides valuable insights into the principles of mRNA 3'-end processing.
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Affiliation(s)
| | - Matti Turtola
- Department of Life TechnologiesUniversity of TurkuFinland
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Bensidoun P, Reiter T, Montpetit B, Zenklusen D, Oeffinger M. Nuclear mRNA metabolism drives selective basket assembly on a subset of nuclear pore complexes in budding yeast. Mol Cell 2022; 82:3856-3871.e6. [PMID: 36220102 PMCID: PMC10300651 DOI: 10.1016/j.molcel.2022.09.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 06/24/2022] [Accepted: 09/16/2022] [Indexed: 11/13/2022]
Abstract
To determine which transcripts should reach the cytoplasm for translation, eukaryotic cells have established mechanisms to regulate selective mRNA export through the nuclear pore complex (NPC). The nuclear basket, a substructure of the NPC protruding into the nucleoplasm, is thought to function as a stable platform where mRNA-protein complexes (mRNPs) are rearranged and undergo quality control prior to export, ensuring that only mature mRNAs reach the cytoplasm. Here, we use proteomic, genetic, live-cell, and single-molecule resolution microscopy approaches in budding yeast to demonstrate that basket formation is dependent on RNA polymerase II transcription and subsequent mRNP processing. We further show that while all NPCs can bind Mlp1, baskets assemble only on a subset of nucleoplasmic NPCs, and these basket-containing NPCs associate a distinct protein and RNA interactome. Taken together, our data point toward NPC heterogeneity and an RNA-dependent mechanism for functionalization of NPCs in budding yeast through nuclear basket assembly.
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Affiliation(s)
- Pierre Bensidoun
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, Canada; Département de biochimie et médecine moléculaire, Université de Montréal, Montréal, QC, Canada
| | - Taylor Reiter
- Department of Viticulture and Enology, University of California, Davis, Davis, CA, USA
| | - Ben Montpetit
- Department of Viticulture and Enology, University of California, Davis, Davis, CA, USA
| | - Daniel Zenklusen
- Département de biochimie et médecine moléculaire, Université de Montréal, Montréal, QC, Canada.
| | - Marlene Oeffinger
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, Canada; Département de biochimie et médecine moléculaire, Université de Montréal, Montréal, QC, Canada; Division of Experimental Medicine, McGill University, Montréal, QC, Canada.
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7
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Roca J, Santiago-Frangos A, Woodson SA. Diversity of bacterial small RNAs drives competitive strategies for a mutual chaperone. Nat Commun 2022; 13:2449. [PMID: 35508531 PMCID: PMC9068810 DOI: 10.1038/s41467-022-30211-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 04/06/2022] [Indexed: 12/17/2022] Open
Abstract
Hundreds of bacterial small RNAs (sRNAs) require the Hfq chaperone to regulate mRNA expression. Hfq is limiting, thus competition among sRNAs for binding to Hfq shapes the proteomes of individual cells. To understand how sRNAs compete for a common partner, we present a single-molecule fluorescence platform to simultaneously visualize binding and release of multiple sRNAs with Hfq. We show that RNA residents rarely dissociate on their own. Instead, clashes between residents and challengers on the same face of Hfq cause rapid exchange, whereas RNAs that recognize different surfaces may cohabit Hfq for several minutes before one RNA departs. The prevalence of these pathways depends on the structure of each RNA and how it interacts with Hfq. We propose that sRNA diversity creates many pairwise interactions with Hfq that allow for distinct biological outcomes: active exchange favors fast regulation whereas co-residence of dissimilar RNAs favors target co-recognition or target exclusion.
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Affiliation(s)
- Jorjethe Roca
- T. C. Jenkins Department of Biophysics, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, 21218, USA
| | - Andrew Santiago-Frangos
- CMDB Program, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, 21218, USA.,Department of Microbiology and Cell Biology, Montana State University, Bozeman, MT, 59717, USA
| | - Sarah A Woodson
- T. C. Jenkins Department of Biophysics, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, 21218, USA.
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8
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Sahoo A, Pechmann S. Functional network motifs defined through integration of protein-protein and genetic interactions. PeerJ 2022; 10:e13016. [PMID: 35223214 PMCID: PMC8877332 DOI: 10.7717/peerj.13016] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 02/06/2022] [Indexed: 01/11/2023] Open
Abstract
Cells are enticingly complex systems. The identification of feedback regulation is critically important for understanding this complexity. Network motifs defined as small graphlets that occur more frequently than expected by chance have revolutionized our understanding of feedback circuits in cellular networks. However, with their definition solely based on statistical over-representation, network motifs often lack biological context, which limits their usefulness. Here, we define functional network motifs (FNMs) through the systematic integration of genetic interaction data that directly inform on functional relationships between genes and encoded proteins. Occurring two orders of magnitude less frequently than conventional network motifs, we found FNMs significantly enriched in genes known to be functionally related. Moreover, our comprehensive analyses of FNMs in yeast showed that they are powerful at capturing both known and putative novel regulatory interactions, thus suggesting a promising strategy towards the systematic identification of feedback regulation in biological networks. Many FNMs appeared as excellent candidates for the prioritization of follow-up biochemical characterization, which is a recurring bottleneck in the targeting of complex diseases. More generally, our work highlights a fruitful avenue for integrating and harnessing genomic network data.
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Affiliation(s)
- Amruta Sahoo
- Département de Biochimie, Université de Montréal, Montréal, QC, Canada
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9
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Turtola M, Manav MC, Kumar A, Tudek A, Mroczek S, Krawczyk PS, Dziembowski A, Schmid M, Passmore LA, Casañal A, Jensen TH. Three-layered control of mRNA poly(A) tail synthesis in Saccharomyces cerevisiae. Genes Dev 2021; 35:1290-1303. [PMID: 34385261 PMCID: PMC8415320 DOI: 10.1101/gad.348634.121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/15/2021] [Indexed: 12/13/2022]
Abstract
Biogenesis of most eukaryotic mRNAs involves the addition of an untemplated polyadenosine (pA) tail by the cleavage and polyadenylation machinery. The pA tail, and its exact length, impacts mRNA stability, nuclear export, and translation. To define how polyadenylation is controlled in S. cerevisiae, we have used an in vivo assay capable of assessing nuclear pA tail synthesis, analyzed tail length distributions by direct RNA sequencing, and reconstituted polyadenylation reactions with purified components. This revealed three control mechanisms for pA tail length. First, we found that the pA binding protein (PABP) Nab2p is the primary regulator of pA tail length. Second, when Nab2p is limiting, the nuclear pool of Pab1p, the second major PABP in yeast, controls the process. Third, when both PABPs are absent, the cleavage and polyadenylation factor (CPF) limits pA tail synthesis. Thus, Pab1p and CPF provide fail-safe mechanisms to a primary Nab2p-dependent pathway, thereby preventing uncontrolled polyadenylation and allowing mRNA export and translation.
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Affiliation(s)
- Matti Turtola
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus C, Denmark
| | - M Cemre Manav
- Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
| | - Ananthanarayanan Kumar
- Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
| | - Agnieszka Tudek
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, 02-106 Warsaw, Poland
| | - Seweryn Mroczek
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, 02-106 Warsaw, Poland
- International Institute of Molecular and Cell Biology in Warsaw, 02-109 Warsaw, Poland
| | - Paweł S Krawczyk
- International Institute of Molecular and Cell Biology in Warsaw, 02-109 Warsaw, Poland
| | - Andrzej Dziembowski
- Institute of Genetics and Biotechnology, Faculty of Biology, University of Warsaw, 02-106 Warsaw, Poland
- International Institute of Molecular and Cell Biology in Warsaw, 02-109 Warsaw, Poland
| | - Manfred Schmid
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus C, Denmark
| | - Lori A Passmore
- Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
| | - Ana Casañal
- Medical Research Council Laboratory of Molecular Biology, Cambridge CB2 0QH, United Kingdom
| | - Torben Heick Jensen
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus C, Denmark
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Dong W, Liu X, Yang C, Wang D, Xue Y, Ruan X, Zhang M, Song J, Cai H, Zheng J, Liu Y. Glioma glycolipid metabolism: MSI2-SNORD12B-FIP1L1-ZBTB4 feedback loop as a potential treatment target. Clin Transl Med 2021; 11:e411. [PMID: 34047477 PMCID: PMC8114150 DOI: 10.1002/ctm2.411] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 04/13/2021] [Accepted: 04/19/2021] [Indexed: 12/26/2022] Open
Abstract
Abnormal energy metabolism, including enhanced aerobic glycolysis and lipid synthesis, is a well-established feature of glioblastoma (GBM) cells. Thus, targeting the cellular glycolipid metabolism can be a feasible therapeutic strategy for GBM. This study aimed to evaluate the roles of MSI2, SNORD12B, and ZBTB4 in regulating the glycolipid metabolism and proliferation of GBM cells. MSI2 and SNORD12B expression was significantly upregulated and ZBTB4 expression was significantly low in GBM tissues and cells. Knockdown of MSI2 or SNORD12B or overexpression of ZBTB4 inhibited GBM cell glycolipid metabolism and proliferation. MSI2 may improve SNORD12B expression by increasing its stability. Importantly, SNORD12B increased utilization of the ZBTB4 mRNA transcript distal polyadenylation signal in alternative polyadenylation processing by competitively combining with FIP1L1, which decreased ZBTB4 expression because of the increased proportion of the 3' untranslated region long transcript. ZBTB4 transcriptionally suppressed the expression of HK2 and ACLY by binding directly to the promoter regions. Additionally, ZBTB4 bound the MSI promoter region to transcriptionally suppress MSI2 expression, thereby forming an MSI2/SNORD12B/FIP1L1/ZBTB4 feedback loop to regulate the glycolipid metabolism and proliferation of GBM cells. In conclusion, MSI2 increased the stability of SNORD12B, which regulated ZBTB4 alternative polyadenylation processing by competitively binding to FIP1L1. Thus, the MSI2/SNORD12B/FIP1L1/ZBTB4 positive feedback loop plays a crucial role in regulating the glycolipid metabolism of GBM cells and provides a potential drug target for glioma treatment.
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Affiliation(s)
- Weiwei Dong
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Xiaobai Liu
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Chunqing Yang
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Di Wang
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Yixue Xue
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
- Key Laboratory of Cell Biology, Ministry of Public Health of ChinaChina Medical UniversityShenyangChina
- Key Laboratory of Medical Cell Biology, Ministry of Education of ChinaChina Medical UniversityShenyangChina
| | - Xuelei Ruan
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
- Key Laboratory of Cell Biology, Ministry of Public Health of ChinaChina Medical UniversityShenyangChina
- Key Laboratory of Medical Cell Biology, Ministry of Education of ChinaChina Medical UniversityShenyangChina
| | - Mengyang Zhang
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
- Key Laboratory of Cell Biology, Ministry of Public Health of ChinaChina Medical UniversityShenyangChina
- Key Laboratory of Medical Cell Biology, Ministry of Education of ChinaChina Medical UniversityShenyangChina
| | - Jian Song
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Heng Cai
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Jian Zheng
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Yunhui Liu
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Province Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
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Sandhu R, Sinha A, Montpetit B. The SR-protein Npl3 is an essential component of the meiotic splicing regulatory network in Saccharomyces cerevisiae. Nucleic Acids Res 2021; 49:2552-2568. [PMID: 33577675 PMCID: PMC7969001 DOI: 10.1093/nar/gkab071] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/25/2021] [Accepted: 01/27/2021] [Indexed: 01/30/2023] Open
Abstract
The meiotic gene expression program in Saccharomyces cerevisiae involves regulated splicing of meiosis-specific genes via multiple splicing activators (e.g. Mer1, Nam8, Tgs1). Here, we show that the SR protein Npl3 is required for meiotic splicing regulation and is essential for proper execution of the meiotic cell cycle. The loss of Npl3, though not required for viability in mitosis, caused intron retention in meiosis-specific transcripts, inefficient meiotic double strand break processing and an arrest of the meiotic cell cycle. The targets of Npl3 overlapped in some cases with other splicing regulators, while also having unique target transcripts that were not shared. In the absence of Npl3, splicing defects for three transcripts (MER2, HOP2 and SAE3) were rescued by conversion of non-consensus splice sites to the consensus sequence. Methylation of Npl3 was further found to be required for splicing Mer1-dependent transcripts, indicating transcript-specific mechanisms by which Npl3 supports splicing. Together these data identify an essential function for the budding yeast SR protein Npl3 in meiosis as part of the meiotic splicing regulatory network.
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Affiliation(s)
- Rima Sandhu
- Department of Viticulture and Enology, University of California Davis, Davis, CA, USA
| | - Aniketa Sinha
- Department of Viticulture and Enology, University of California Davis, Davis, CA, USA
| | - Ben Montpetit
- Department of Viticulture and Enology, University of California Davis, Davis, CA, USA
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