1
|
Sung R, Kim H, Kim J, Lee D. FastTENET: an accelerated TENET algorithm based on manycore computing in Python. Bioinformatics 2024; 40:btae699. [PMID: 39570606 PMCID: PMC11645435 DOI: 10.1093/bioinformatics/btae699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 10/30/2024] [Accepted: 11/18/2024] [Indexed: 11/22/2024] Open
Abstract
SUMMARY TENET reconstructs gene regulatory networks from single-cell RNA sequencing (scRNAseq) data using the transfer entropy (TE), and works successfully on a variety of scRNAseq data. However, TENET is limited by its long computation time for large datasets. To address this limitation, we propose FastTENET, an array-computing version of TENET algorithm optimized for acceleration on manycore processors such as GPUs. FastTENET counts the unique patterns of joint events to compute the TE based on array computing. Compared to TENET, FastTENET achieves up to 973× performance improvement. AVAILABILITY AND IMPLEMENTATION FastTENET is available on GitHub at https://github.com/cxinsys/fasttenet.
Collapse
Affiliation(s)
- Rakbin Sung
- Department of Applied Art and Technology, College of Art and Technology, Chung-Ang University, Anseong 17546, Republic of Korea
| | - Hyeonkyu Kim
- Department of Bioinformatics, Soongsil University, Seoul 06978, Republic of Korea
| | - Junil Kim
- Department of Bioinformatics, Soongsil University, Seoul 06978, Republic of Korea
- School of Systems Biomedical Science, Soongsil University, Seoul 06978, Republic of Korea
| | - Daewon Lee
- Department of Applied Art and Technology, College of Art and Technology, Chung-Ang University, Anseong 17546, Republic of Korea
- School of Art and Technology, College of Art and Technology, Chung-Ang University, Anseong 17546, Republic of Korea
| |
Collapse
|
2
|
Nyberg KG, Navales FG, Keles E, Nguyen JQ, Hertz LM, Carthew RW. Robust and heritable knockdown of gene expression using a self-cleaving ribozyme in Drosophila. Genetics 2024; 227:iyae067. [PMID: 38701221 PMCID: PMC11304983 DOI: 10.1093/genetics/iyae067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/11/2024] [Accepted: 04/20/2024] [Indexed: 05/05/2024] Open
Abstract
The current toolkit for genetic manipulation in the model animal Drosophila melanogaster is extensive and versatile but not without its limitations. Here, we report a powerful and heritable method to knockdown gene expression in D. melanogaster using the self-cleaving N79 hammerhead ribozyme, a modification of a naturally occurring ribozyme found in the parasite Schistosoma mansoni. A 111-bp ribozyme cassette, consisting of the N79 ribozyme surrounded by insulating spacer sequences, was inserted into 4 independent long noncoding RNA genes as well as the male-specific splice variant of doublesex using scarless CRISPR/Cas9-mediated genome editing. Ribozyme-induced RNA cleavage resulted in robust destruction of 3' fragments typically exceeding 90%. Single molecule RNA fluorescence in situ hybridization results suggest that cleavage and destruction can even occur for nascent transcribing RNAs. Knockdown was highly specific to the targeted RNA, with no adverse effects observed in neighboring genes or the other splice variants. To control for potential effects produced by the simple insertion of 111 nucleotides into genes, we tested multiple catalytically inactive ribozyme variants and found that a variant with scrambled N79 sequence best recapitulated natural RNA levels. Thus, self-cleaving ribozymes offer a novel approach for powerful gene knockdown in Drosophila, with potential applications for the study of noncoding RNAs, nuclear-localized RNAs, and specific splice variants of protein-coding genes.
Collapse
Affiliation(s)
- Kevin G Nyberg
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Fritz Gerald Navales
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Eren Keles
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Joseph Q Nguyen
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Laura M Hertz
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Richard W Carthew
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
- NSF-Simons National Institute for Theory and Mathematics in Biology, Evanston, IL 60208, USA
- NSF-Simons Center for Quantitative Biology, Evanston, IL 60208, USA
| |
Collapse
|
3
|
Li L, Xia R, Chen W, Zhao Q, Tao P, Chen L. Single-cell causal network inferred by cross-mapping entropy. Brief Bioinform 2023; 24:bbad281. [PMID: 37544659 DOI: 10.1093/bib/bbad281] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 07/03/2023] [Accepted: 07/19/2023] [Indexed: 08/08/2023] Open
Abstract
Gene regulatory networks (GRNs) reveal the complex molecular interactions that govern cell state. However, it is challenging for identifying causal relations among genes due to noisy data and molecular nonlinearity. Here, we propose a novel causal criterion, neighbor cross-mapping entropy (NME), for inferring GRNs from both steady data and time-series data. NME is designed to quantify 'continuous causality' or functional dependency from one variable to another based on their function continuity with varying neighbor sizes. NME shows superior performance on benchmark datasets, comparing with existing methods. By applying to scRNA-seq datasets, NME not only reliably inferred GRNs for cell types but also identified cell states. Based on the inferred GRNs and further their activity matrices, NME showed better performance in single-cell clustering and downstream analyses. In summary, based on continuous causality, NME provides a powerful tool in inferring causal regulations of GRNs between genes from scRNA-seq data, which is further exploited to identify novel cell types/states and predict cell type-specific network modules.
Collapse
Affiliation(s)
- Lin Li
- Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Rui Xia
- Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Chen
- Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qi Zhao
- Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng Tao
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China
| | - Luonan Chen
- Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Beijing 100049, China
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou 310024, China
| |
Collapse
|
4
|
Choudhuri S. Long noncoding RNAs: biogenesis, regulation, function, and their emerging significance in toxicology. Toxicol Mech Methods 2023; 33:541-551. [PMID: 36992569 DOI: 10.1080/15376516.2023.2197489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 03/24/2023] [Accepted: 03/25/2023] [Indexed: 03/31/2023]
Abstract
The repertoire of regulatory noncoding RNAs (ncRNAs) has been enriched by the inclusion of long noncoding RNA (lncRNA) that are longer than 200 nt. Some of the currently known lncRNAs, were reported in the 1990s before the term lncRNA was introduced. These lncRNAs have diverse regulatory functions including regulation of transcription via interactions with proteins and RNAs, chromatin remodeling, translation, posttranslational protein modification, protein trafficking and cell signaling. Predictably, the dysregulation of lncRNA expression due to exposure to toxicants may precipitate adverse health consequences. Dysregulation of lncRNAs has also been implicated in various adverse human health outcomes. There is an increasing agreement that lncRNA expression profiling data needs to be closely examined to determine whether their altered expression can be used as biomarkers of toxicity as well as adverse human health outcomes. This review summarizes the biogenesis, regulation, function of lncRNA and their emerging significance in toxicology and disease conditions. Because our understanding of the lncRNA-toxicity relationship is still evolving, this review discusses this developing field using some examples.
Collapse
Affiliation(s)
- Supratim Choudhuri
- Division of Food Ingredients, Office of Food Additive Safety, U.S. Food and Drug Administration, College Park, MD, USA
| |
Collapse
|
5
|
Gil N, Perry RBT, Mukamel Z, Tuck A, Bühler M, Ulitsky I. Complex regulation of Eomes levels mediated through distinct functional features of the Meteor long non-coding RNA locus. Cell Rep 2023; 42:112569. [PMID: 37256750 PMCID: PMC10320833 DOI: 10.1016/j.celrep.2023.112569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/07/2023] [Accepted: 05/12/2023] [Indexed: 06/02/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) are implicated in a plethora of cellular processes, but an in-depth understanding of their functional features or their mechanisms of action is currently lacking. Here we study Meteor, a lncRNA transcribed near the gene encoding EOMES, a pleiotropic transcription factor implicated in various processes throughout development and in adult tissues. Using a wide array of perturbation techniques, we show that transcription elongation through the Meteor locus is required for Eomes activation in mouse embryonic stem cells, with Meteor repression linked to a change in the subpopulation primed to differentiate to the mesoderm lineage. We further demonstrate that a distinct functional feature of the locus-namely, the underlying DNA element-is required for suppressing Eomes expression following neuronal differentiation. Our results demonstrate the complex regulation that can be conferred by a single locus and emphasize the importance of careful selection of perturbation techniques when studying lncRNA loci.
Collapse
Affiliation(s)
- Noa Gil
- Department of Immunology and Regenerative Biology and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Rotem Ben-Tov Perry
- Department of Immunology and Regenerative Biology and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Zohar Mukamel
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Alex Tuck
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Marc Bühler
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Igor Ulitsky
- Department of Immunology and Regenerative Biology and Department of Molecular Neuroscience, Weizmann Institute of Science, Rehovot 76100, Israel.
| |
Collapse
|
6
|
Ghafouri-Fard S, Safarzadeh A, Hussen BM, Taheri M, Rashnoo F. A concise review on the role of LINC00324 in different cancers. Pathol Res Pract 2022; 240:154192. [DOI: 10.1016/j.prp.2022.154192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 10/18/2022] [Accepted: 10/25/2022] [Indexed: 11/17/2022]
|
7
|
Zhao X, Lan Y, Chen D. Exploring long non-coding RNA networks from single cell omics data. Comput Struct Biotechnol J 2022; 20:4381-4389. [PMID: 36051880 PMCID: PMC9403499 DOI: 10.1016/j.csbj.2022.08.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 08/01/2022] [Accepted: 08/01/2022] [Indexed: 11/03/2022] Open
|
8
|
Rodriguez-Lopez M, Anver S, Cotobal C, Kamrad S, Malecki M, Correia-Melo C, Hoti M, Townsend S, Marguerat S, Pong SK, Wu MY, Montemayor L, Howell M, Ralser M, Bähler J. Functional profiling of long intergenic non-coding RNAs in fission yeast. eLife 2022; 11:e76000. [PMID: 34984977 PMCID: PMC8730722 DOI: 10.7554/elife.76000] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 12/19/2022] Open
Abstract
Eukaryotic genomes express numerous long intergenic non-coding RNAs (lincRNAs) that do not overlap any coding genes. Some lincRNAs function in various aspects of gene regulation, but it is not clear in general to what extent lincRNAs contribute to the information flow from genotype to phenotype. To explore this question, we systematically analysed cellular roles of lincRNAs in Schizosaccharomyces pombe. Using seamless CRISPR/Cas9-based genome editing, we deleted 141 lincRNA genes to broadly phenotype these mutants, together with 238 diverse coding-gene mutants for functional context. We applied high-throughput colony-based assays to determine mutant growth and viability in benign conditions and in response to 145 different nutrient, drug, and stress conditions. These analyses uncovered phenotypes for 47.5% of the lincRNAs and 96% of the protein-coding genes. For 110 lincRNA mutants, we also performed high-throughput microscopy and flow cytometry assays, linking 37% of these lincRNAs with cell-size and/or cell-cycle control. With all assays combined, we detected phenotypes for 84 (59.6%) of all lincRNA deletion mutants tested. For complementary functional inference, we analysed colony growth of strains ectopically overexpressing 113 lincRNA genes under 47 different conditions. Of these overexpression strains, 102 (90.3%) showed altered growth under certain conditions. Clustering analyses provided further functional clues and relationships for some of the lincRNAs. These rich phenomics datasets associate lincRNA mutants with hundreds of phenotypes, indicating that most of the lincRNAs analysed exert cellular functions in specific environmental or physiological contexts. This study provides groundwork to further dissect the roles of these lincRNAs in the relevant conditions.
Collapse
Affiliation(s)
- Maria Rodriguez-Lopez
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Shajahan Anver
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Cristina Cotobal
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Stephan Kamrad
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
- The Francis Crick Institute, Molecular Biology of Metabolism LaboratoryLondonUnited Kingdom
- Charité Universitätsmedizin Berlin, Institute of BiochemistryBerlinGermany
| | - Michal Malecki
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Clara Correia-Melo
- The Francis Crick Institute, Molecular Biology of Metabolism LaboratoryLondonUnited Kingdom
| | - Mimoza Hoti
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - StJohn Townsend
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
- The Francis Crick Institute, Molecular Biology of Metabolism LaboratoryLondonUnited Kingdom
| | - Samuel Marguerat
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Sheng Kai Pong
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Mary Y Wu
- The Francis Crick Institute, High Throughput ScreeningLondonUnited Kingdom
| | - Luis Montemayor
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| | - Michael Howell
- The Francis Crick Institute, High Throughput ScreeningLondonUnited Kingdom
| | - Markus Ralser
- The Francis Crick Institute, Molecular Biology of Metabolism LaboratoryLondonUnited Kingdom
- Charité Universitätsmedizin Berlin, Institute of BiochemistryBerlinGermany
| | - Jürg Bähler
- University College London, Institute of Healthy Ageing and Department of Genetics, Evolution & EnvironmentLondonUnited Kingdom
| |
Collapse
|
9
|
Shao R, Kumar B, Lidschreiber K, Lidschreiber M, Cramer P, Elsässer SJ. Distinct transcription kinetics of pluripotent cell states. Mol Syst Biol 2022; 18:e10407. [PMID: 35020268 PMCID: PMC8754154 DOI: 10.15252/msb.202110407] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Revised: 12/12/2021] [Accepted: 12/14/2021] [Indexed: 12/20/2022] Open
Abstract
Mouse embryonic stem cells (mESCs) can adopt naïve, ground, and paused pluripotent states that give rise to unique transcriptomes. Here, we use transient transcriptome sequencing (TT-seq) to define both coding and non-coding transcription units (TUs) in these three pluripotent states and combine TT-seq with RNA polymerase II occupancy profiling to unravel the kinetics of RNA metabolism genome-wide. Compared to the naïve state (serum), RNA synthesis and turnover rates are globally reduced in the ground state (2i) and the paused state (mTORi). The global reduction in RNA synthesis goes along with a genome-wide decrease of polymerase elongation velocity, which is related to epigenomic features and alterations in the Pol II termination window. Our data suggest that transcription activity is the main determinant of steady state mRNA levels in the naïve state and that genome-wide changes in transcription kinetics invoke ground and paused pluripotent states.
Collapse
Affiliation(s)
- Rui Shao
- Science for Life LaboratoryDepartment of Medical Biochemistry and BiophysicsDivision of Genome BiologyKarolinska InstitutetStockholmSweden
- Ming Wai Lau Centre for Reparative MedicineStockholm nodeKarolinska InstitutetStockholmSweden
| | - Banushree Kumar
- Science for Life LaboratoryDepartment of Medical Biochemistry and BiophysicsDivision of Genome BiologyKarolinska InstitutetStockholmSweden
- Ming Wai Lau Centre for Reparative MedicineStockholm nodeKarolinska InstitutetStockholmSweden
| | - Katja Lidschreiber
- Department of Biosciences and NutritionKarolinska InstitutetHuddingeSweden
- Department of Molecular BiologyMax Planck Institute for Biophysical ChemistryGöttingenGermany
| | - Michael Lidschreiber
- Department of Biosciences and NutritionKarolinska InstitutetHuddingeSweden
- Department of Molecular BiologyMax Planck Institute for Biophysical ChemistryGöttingenGermany
| | - Patrick Cramer
- Department of Biosciences and NutritionKarolinska InstitutetHuddingeSweden
- Department of Molecular BiologyMax Planck Institute for Biophysical ChemistryGöttingenGermany
| | - Simon J Elsässer
- Science for Life LaboratoryDepartment of Medical Biochemistry and BiophysicsDivision of Genome BiologyKarolinska InstitutetStockholmSweden
- Ming Wai Lau Centre for Reparative MedicineStockholm nodeKarolinska InstitutetStockholmSweden
| |
Collapse
|
10
|
Qi Y, Wei Y, Yu F, Lin Q, Yin J, Fu J, Xiong S, Lv D, Dai Z, Peng Q, Wang Y, Zhang D, Wang L, Ye X, Lin Z, Lin J, Ma G, Li K, Luo X. Association study of a genetic variant in the long intergenic noncoding RNA (linc01080) with schizophrenia in Han Chinese. BMC Psychiatry 2021; 21:613. [PMID: 34879837 PMCID: PMC8653569 DOI: 10.1186/s12888-021-03623-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 11/24/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Schizophrenia is currently considered to be a polygene-related disease with unknown etiology. This research will verify whether the single nucleotide polymorphism (SNP) of the long intergenic noncoding RNA01080 (linc01080) contributes to the susceptibility and phenotypic heterogeneity of schizophrenia, with a view to providing data support for the prevention and individualized treatment of this disease. METHOD The SNP rs7990916 in linc01080 were genotyped in 1139 schizophrenic and 1039 controls in a Southern Chinese Han population by the improved multiplex ligation detection reaction (imLDR) technique. Meanwhile, we assessed and analyzed the association between this SNP and schizophrenics' clinical symptoms, and the cognitive function. RESULT There was no significant difference in genotype distribution, allele frequency distribution, gender stratification analysis between the two groups. However, the SNP of rs7990916 was significantly associated with the age of onset in patients with schizophrenia (P = 8.22E-07), patients with T allele had earlier onset age compared with CC genotype carriers. In terms of cognitive function, patients with T allele scored lower than CC genotype carriers in the Tower of London score and symbol coding score in the Brief assessment of Cognition (BACS), and the difference was statistically significant (P = 0.014, P = 0.022, respectively). CONCLUSION Our data show for the first time that linc01080 polymorphism may affect the age of onset and neurocognitive function in patients with schizophrenia.
Collapse
Affiliation(s)
- Yi Qi
- grid.410560.60000 0004 1760 3078The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China
| | - Yaxue Wei
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China ,grid.410652.40000 0004 6003 7358Psychiatric and Psychological Clinical Rehabilitation Center, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021 China
| | - Fengyan Yu
- grid.410560.60000 0004 1760 3078The Second Clinical School, Guangdong Medical University, Dongguan, 523808 China
| | - Qianxing Lin
- grid.410560.60000 0004 1760 3078The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, 524023 China
| | - Jingwen Yin
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Jiawu Fu
- grid.410560.60000 0004 1760 3078Department of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Susu Xiong
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Dong Lv
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Zhun Dai
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Qian Peng
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Ying Wang
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Dandan Zhang
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Lulu Wang
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Xiaoqing Ye
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Zhixiong Lin
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Juda Lin
- grid.410560.60000 0004 1760 3078Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001 China
| | - Guoda Ma
- grid.410560.60000 0004 1760 3078Maternal and Children’s Health Research Institute, Shunde Maternal and Children’s Hospital, Guangdong Medical University, Foshan, 528300 China
| | - Keshen Li
- Department of Neurology and Stroke Center, The First Affiliated Hospital, Jinan University, Guangzhou, 510630, China. .,Clinical Neuroscience Institute of Jinan University, Guangzhou, 510630, China.
| | - Xudong Luo
- Department of Psychiatry, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, China.
| |
Collapse
|
11
|
Winkler L, Dimitrova N. A mechanistic view of long noncoding RNAs in cancer. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 13:e1699. [PMID: 34668345 PMCID: PMC9016092 DOI: 10.1002/wrna.1699] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/21/2021] [Accepted: 09/22/2021] [Indexed: 12/23/2022]
Abstract
Long noncoding RNAs (lncRNAs) have emerged as important modulators of a wide range of biological processes in normal and disease states. In particular, lncRNAs have garnered significant interest as novel players in the molecular pathology of cancer, spurring efforts to define the functions, and elucidate the mechanisms through which cancer‐associated lncRNAs operate. In this review, we discuss the prevalent mechanisms employed by lncRNAs, with a critical assessment of the methodologies used to determine each molecular function. We survey the abilities of cancer‐associated lncRNAs to enact diverse trans functions throughout the nucleus and in the cytoplasm and examine the local roles of cis‐acting lncRNAs in modulating the expression of neighboring genes. In linking lncRNA functions and mechanisms to their roles in cancer biology, we contend that a detailed molecular understanding of lncRNA functionality is key to elucidating their contributions to tumorigenesis and to unlocking their therapeutic potential. This article is categorized under:Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs RNA in Disease and Development > RNA in Disease
Collapse
Affiliation(s)
- Lauren Winkler
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, USA
| | - Nadya Dimitrova
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, USA
| |
Collapse
|
12
|
Agostini F, Zagalak J, Attig J, Ule J, Luscombe NM. Intergenic RNA mainly derives from nascent transcripts of known genes. Genome Biol 2021; 22:136. [PMID: 33952325 PMCID: PMC8097831 DOI: 10.1186/s13059-021-02350-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 04/12/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Eukaryotic genomes undergo pervasive transcription, leading to the production of many types of stable and unstable RNAs. Transcription is not restricted to regions with annotated gene features but includes almost any genomic context. Currently, the source and function of most RNAs originating from intergenic regions in the human genome remain unclear. RESULTS We hypothesize that many intergenic RNAs can be ascribed to the presence of as-yet unannotated genes or the "fuzzy" transcription of known genes that extends beyond the annotated boundaries. To elucidate the contributions of these two sources, we assemble a dataset of more than 2.5 billion publicly available RNA-seq reads across 5 human cell lines and multiple cellular compartments to annotate transcriptional units in the human genome. About 80% of transcripts from unannotated intergenic regions can be attributed to the fuzzy transcription of existing genes; the remaining transcripts originate mainly from putative long non-coding RNA loci that are rarely spliced. We validate the transcriptional activity of these intergenic RNAs using independent measurements, including transcriptional start sites, chromatin signatures, and genomic occupancies of RNA polymerase II in various phosphorylation states. We also analyze the nuclear localization and sensitivities of intergenic transcripts to nucleases to illustrate that they tend to be rapidly degraded either on-chromatin by XRN2 or off-chromatin by the exosome. CONCLUSIONS We provide a curated atlas of intergenic RNAs that distinguishes between alternative processing of well-annotated genes from independent transcriptional units based on the combined analysis of chromatin signatures, nuclear RNA localization, and degradation pathways.
Collapse
Affiliation(s)
| | - Julian Zagalak
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Jan Attig
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Jernej Ule
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK
| | - Nicholas M Luscombe
- The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
- UCL Genetics Institute, Department of Genetics, Environment and Evolution, University College London, Gower Street, London, WC1E 6BT, UK
- Okinawa Institute of Science & Technology Graduate University, 1919-1 Tancha, Onna-son, Kunigami-gun, Okinawa, 904-0495, Japan
| |
Collapse
|
13
|
Jabbari E, Koga S, Valentino RR, Reynolds RH, Ferrari R, Tan MMX, Rowe JB, Dalgard CL, Scholz SW, Dickson DW, Warner TT, Revesz T, Höglinger GU, Ross OA, Ryten M, Hardy J, Shoai M, Morris HR. Genetic determinants of survival in progressive supranuclear palsy: a genome-wide association study. Lancet Neurol 2021; 20:107-116. [PMID: 33341150 PMCID: PMC7116626 DOI: 10.1016/s1474-4422(20)30394-x] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 09/23/2020] [Accepted: 09/28/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND The genetic basis of variation in the progression of primary tauopathies has not been determined. We aimed to identify genetic determinants of survival in progressive supranuclear palsy (PSP). METHODS In stage one of this two stage genome-wide association study (GWAS), we included individuals with PSP, diagnosed according to pathological and clinical criteria, from two separate cohorts: the 2011 PSP GWAS cohort, from brain banks based at the Mayo Clinic (Jacksonville, FL, USA) and in Munich (Germany), and the University College London PSP cohort, from brain banks and the PROSPECT study, a UK-wide longitudinal study of patients with atypical parkinsonian syndromes. Individuals were included if they had clinical data available on sex, age at motor symptom onset, disease duration (from motor symptom onset to death or to the date of censoring, Dec 1, 2019, if individuals were alive), and PSP phenotype (with reference to the 2017 Movement Disorder Society criteria). Genotype data were used to do a survival GWAS using a Cox proportional hazards model. In stage two, data from additional individuals from the Mayo Clinic brain bank, which were obtained after the 2011 PSP GWAS, were used for a pooled analysis. We assessed the expression quantitative trait loci (eQTL) profile of variants that passed genome-wide significance in our GWAS using the Functional Mapping and Annotation of GWAS platform, and did colocalisation analyses using the eQTLGen and PsychENCODE datasets. FINDINGS Data were collected and analysed between Aug 1, 2016, and Feb 1, 2020. Data were available for 1001 individuals of white European ancestry with PSP in stage one. We found a genome-wide significant association with survival at chromosome 12 (lead single nucleotide polymorphism rs2242367, p=7·5 × 10-10, hazard ratio 1·42 [95% CI 1·22-1·67]). rs2242367 was associated with survival in the individuals added in stage two (n=238; p=0·049, 1·22 [1·00-1·48]) and in the pooled analysis of both stages (n=1239; p=1·3 × 10-10, 1·37 [1·25-1·51]). An eQTL database screen revealed that rs2242367 is associated with increased expression of LRRK2 and two long intergenic non-coding RNAs (lncRNAs), LINC02555 and AC079630.4, in whole blood. Although we did not detect a colocalisation signal for LRRK2, analysis of the PSP survival signal and eQTLs for LINC02555 in the eQTLGen blood dataset revealed a posterior probability of hypothesis 4 of 0·77, suggesting colocalisation due to a single shared causal variant. INTERPRETATION Genetic variation at the LRRK2 locus was associated with survival in PSP. The mechanism of this association might be through a lncRNA-regulated effect on LRRK2 expression because LINC02555 has previously been shown to regulate LRRK2 expression. LRRK2 has been associated with sporadic and familial forms of Parkinson's disease, and our finding suggests a genetic overlap with PSP. Further functional studies will be important to assess the potential of LRRK2 modulation as a disease-modifying therapy for PSP and related tauopathies. FUNDING PSP Association, CBD Solutions, Medical Research Council (UK).
Collapse
Affiliation(s)
- Edwin Jabbari
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK; Movement Disorders Centre, University College London Queen Square Institute of Neurology, London, UK.
| | - Shunsuke Koga
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | | | - Regina H Reynolds
- Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK; Great Ormond Street Institute of Child Health, Genetics and Genomic Medicine, University College London, London, UK
| | - Raffaele Ferrari
- Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK
| | - Manuela M X Tan
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK; Movement Disorders Centre, University College London Queen Square Institute of Neurology, London, UK
| | - James B Rowe
- Department of Clinical Neurosciences, University of Cambridge, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Clifton L Dalgard
- Department of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Sonja W Scholz
- Department of Neurology, Johns Hopkins University Medical Center, Baltimore, MD, USA; Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | | | - Thomas T Warner
- Reta Lila Weston Institute, University College London Queen Square Institute of Neurology, London, UK; Queen Square Brain Bank for Neurological Disorders, University College London Queen Square Institute of Neurology, London, UK
| | - Tamas Revesz
- Reta Lila Weston Institute, University College London Queen Square Institute of Neurology, London, UK; Queen Square Brain Bank for Neurological Disorders, University College London Queen Square Institute of Neurology, London, UK
| | - Günter U Höglinger
- German Center for Neurodegenerative Diseases, Munich, Germany; Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Owen A Ross
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Mina Ryten
- Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, University College London, London, UK; Great Ormond Street Institute of Child Health, Genetics and Genomic Medicine, University College London, London, UK
| | - John Hardy
- Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK; Reta Lila Weston Institute, University College London Queen Square Institute of Neurology, London, UK; Dementia Research Institute at University College London, University College London Queen Square Institute of Neurology, London, UK; Institute for Advanced Study, The Hong Kong University of Science and Technology, Hong Kong Special Administrative Region, China
| | - Maryam Shoai
- Department of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, UK
| | - Huw R Morris
- Department of Clinical and Movement Neurosciences, University College London Queen Square Institute of Neurology, London, UK; Movement Disorders Centre, University College London Queen Square Institute of Neurology, London, UK.
| |
Collapse
|
14
|
Kim J, T. Jakobsen S, Natarajan KN, Won KJ. TENET: gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data. Nucleic Acids Res 2021; 49:e1. [PMID: 33170214 PMCID: PMC7797076 DOI: 10.1093/nar/gkaa1014] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 10/05/2020] [Accepted: 10/14/2020] [Indexed: 12/22/2022] Open
Abstract
Accurate prediction of gene regulatory rules is important towards understanding of cellular processes. Existing computational algorithms devised for bulk transcriptomics typically require a large number of time points to infer gene regulatory networks (GRNs), are applicable for a small number of genes and fail to detect potential causal relationships effectively. Here, we propose a novel approach 'TENET' to reconstruct GRNs from single cell RNA sequencing (scRNAseq) datasets. Employing transfer entropy (TE) to measure the amount of causal relationships between genes, TENET predicts large-scale gene regulatory cascades/relationships from scRNAseq data. TENET showed better performance than other GRN reconstructors, in identifying key regulators from public datasets. Specifically from scRNAseq, TENET identified key transcriptional factors in embryonic stem cells (ESCs) and during direct cardiomyocytes reprogramming, where other predictors failed. We further demonstrate that known target genes have significantly higher TE values, and TENET predicted higher TE genes were more influenced by the perturbation of their regulator. Using TENET, we identified and validated that Nme2 is a culture condition specific stem cell factor. These results indicate that TENET is uniquely capable of identifying key regulators from scRNAseq data.
Collapse
Affiliation(s)
- Junil Kim
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, 2200 Copenhagen N, Denmark
- Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, Faculty of Health and Medical Sciences, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| | - Simon T. Jakobsen
- Functional Genomics and Metabolism Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Denmark
| | - Kedar N Natarajan
- Functional Genomics and Metabolism Unit, Department of Biochemistry and Molecular Biology, University of Southern Denmark, Denmark
- Danish Institute of Advanced Study (D-IAS), University of Southern Denmark, Denmark
| | - Kyoung-Jae Won
- Biotech Research and Innovation Centre (BRIC), University of Copenhagen, 2200 Copenhagen N, Denmark
- Novo Nordisk Foundation Center for Stem Cell Biology, DanStem, Faculty of Health and Medical Sciences, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen N, Denmark
| |
Collapse
|
15
|
Abstract
Some long non-coding RNA (lncRNA) genes encode a functional RNA product, whereas others act as DNA elements or via the act of transcription . We describe here a ribozyme-based approach to deplete an endogenous lncRNA in mouse embryonic stem cells, with minimal disruption of its gene. This enables the role of the lncRNA product to be tested.
Collapse
Affiliation(s)
- Alex C Tuck
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland
| | - Marc Bühler
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
- University of Basel, Basel, Switzerland.
| |
Collapse
|
16
|
Biasini A, Smith AAT, Abdulkarim B, Ferreira da Silva M, Tan JY, Marques AC. The Contribution of lincRNAs at the Interface between Cell Cycle Regulation and Cell State Maintenance. iScience 2020; 23:101291. [PMID: 32619701 PMCID: PMC7334372 DOI: 10.1016/j.isci.2020.101291] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 04/24/2020] [Accepted: 06/15/2020] [Indexed: 12/27/2022] Open
Abstract
Cell cycle progression is controlled by the interplay of established cell cycle regulators. Changes in these regulators' activity underpin differences in cell cycle kinetics between cell types. We investigated whether long intergenic noncoding RNAs (lincRNAs) contribute to embryonic stem cell cycle adaptations. Using single-cell RNA sequencing data for mouse embryonic stem cells (mESCs) staged as G1, S, or G2/M we found differentially expressed lincRNAs are enriched among cell cycle-regulated genes. These lincRNAs (CC-lincRNAs) are co-expressed with genes involved in cell cycle regulation. We tested the impact of two CC-lincRNA candidates and show using CRISPR activation that increasing their expression is associated with deregulated cell cycle progression. Interestingly, CC-lincRNAs are often differentially expressed between G1 and S, their promoters are enriched in pluripotency transcription factor (TF) binding sites, and their transcripts are frequently co-regulated with genes involved in the maintenance of pluripotency, suggesting a contribution of CC-lincRNAs to mESC cell cycle adaptations. Genes differentially expressed between mESC cell cycle stages are enriched in lincRNAs CC-lincRNAs are co-expressed with cell cycle and pluripotency genes CC-lincRNAs are often mESC specific and their promoters enriched in pluripotency TFs Upregulation of two CC-lincRNAs results in deregulated mESC cell cycle progression
Collapse
Affiliation(s)
- Adriano Biasini
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | | | - Baroj Abdulkarim
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | | | - Jennifer Yihong Tan
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
| | - Ana Claudia Marques
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
| |
Collapse
|
17
|
Abstract
Long non-coding RNAs (lncRNAs) represent a major fraction of the transcriptome in multicellular organisms. Although a handful of well-studied lncRNAs are broadly recognized as biologically meaningful, the fraction of such transcripts out of the entire collection of lncRNAs remains a subject of vigorous debate. Here we review the evidence for and against biological functionalities of lncRNAs and attempt to arrive at potential modes of lncRNA functionality that would reconcile the contradictory conclusions. Finally, we discuss different strategies of phenotypic analyses that could be used to investigate such modes of lncRNA functionality.
Collapse
Affiliation(s)
- Fan Gao
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China
| | - Ye Cai
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China
| | - Philipp Kapranov
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China.
| | - Dongyang Xu
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China.
| |
Collapse
|
18
|
Leitão AL, Costa MC, Gabriel AF, Enguita FJ. Interspecies Communication in Holobionts by Non-Coding RNA Exchange. Int J Mol Sci 2020; 21:ijms21072333. [PMID: 32230931 PMCID: PMC7177868 DOI: 10.3390/ijms21072333] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 03/24/2020] [Accepted: 03/26/2020] [Indexed: 12/18/2022] Open
Abstract
Complex organisms are associations of different cells that coexist and collaborate creating a living consortium, the holobiont. The relationships between the holobiont members are essential for proper homeostasis of the organisms, and they are founded on the establishment of complex inter-connections between all the cells. Non-coding RNAs are regulatory molecules that can also act as communication signals between cells, being involved in either homeostasis or dysbiosis of the holobionts. Eukaryotic and prokaryotic cells can transmit signals via non-coding RNAs while using specific extracellular conveyors that travel to the target cell and can be translated into a regulatory response by dedicated molecular machinery. Within holobionts, non-coding RNA regulatory signaling is involved in symbiotic and pathogenic relationships among the cells. This review analyzes current knowledge regarding the role of non-coding RNAs in cell-to-cell communication, with a special focus on the signaling between cells in multi-organism consortia.
Collapse
Affiliation(s)
- Ana Lúcia Leitão
- Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Campus da Caparica, 2829-516 Caparica, Portugal;
- MEtRICs, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Campus da Caparica, 2829-516 Caparica, Portugal
| | - Marina C. Costa
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal; (M.C.C.); (A.F.G.)
| | - André F. Gabriel
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal; (M.C.C.); (A.F.G.)
| | - Francisco J. Enguita
- Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Av. Prof. Egas Moniz, 1649-028 Lisboa, Portugal; (M.C.C.); (A.F.G.)
- Correspondence: ; Tel.: +351-217999480
| |
Collapse
|
19
|
Tuck AC, Rankova A, Arpat AB, Liechti LA, Hess D, Iesmantavicius V, Castelo-Szekely V, Gatfield D, Bühler M. Mammalian RNA Decay Pathways Are Highly Specialized and Widely Linked to Translation. Mol Cell 2020; 77:1222-1236.e13. [PMID: 32048998 PMCID: PMC7083229 DOI: 10.1016/j.molcel.2020.01.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Revised: 11/11/2019] [Accepted: 01/07/2020] [Indexed: 12/24/2022]
Abstract
RNA decay is crucial for mRNA turnover and surveillance and misregulated in many diseases. This complex system is challenging to study, particularly in mammals, where it remains unclear whether decay pathways perform specialized versus redundant roles. Cytoplasmic pathways and links to translation are particularly enigmatic. By directly profiling decay factor targets and normal versus aberrant translation in mouse embryonic stem cells (mESCs), we uncovered extensive decay pathway specialization and crosstalk with translation. XRN1 (5'-3') mediates cytoplasmic bulk mRNA turnover whereas SKIV2L (3'-5') is universally recruited by ribosomes, tackling aberrant translation and sometimes modulating mRNA abundance. Further exploring translation surveillance revealed AVEN and FOCAD as SKIV2L interactors. AVEN prevents ribosome stalls at structured regions, which otherwise require SKIV2L for clearance. This pathway is crucial for histone translation, upstream open reading frame (uORF) regulation, and counteracting ribosome arrest on small ORFs. In summary, we uncovered key targets, components, and functions of mammalian RNA decay pathways and extensive coupling to translation.
Collapse
Affiliation(s)
- Alex Charles Tuck
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland
| | - Aneliya Rankova
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland
| | - Alaaddin Bulak Arpat
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Luz Angelica Liechti
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Daniel Hess
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland
| | - Vytautas Iesmantavicius
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland
| | | | - David Gatfield
- Center for Integrative Genomics, University of Lausanne, 1015 Lausanne, Switzerland
| | - Marc Bühler
- Friedrich Miescher Institute for Biomedical Research, Maulbeerstrasse 66, 4058 Basel, Switzerland; University of Basel, Petersplatz 10, 4003 Basel, Switzerland.
| |
Collapse
|
20
|
Hezroni H, Perry RBT, Ulitsky I. Long Noncoding RNAs in Development and Regeneration of the Neural Lineage. COLD SPRING HARBOR SYMPOSIA ON QUANTITATIVE BIOLOGY 2020; 84:165-177. [PMID: 31900326 DOI: 10.1101/sqb.2019.84.039347] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Long noncoding RNAs (lncRNAs) are gathering increasing attention toward their roles in different biological systems. In mammals, the richest repertoires of lncRNAs are expressed in the brain and in the testis, and the diversity of lncRNAs in the nervous system is thought to be related to the diversity and the complexity of its cell types. Supporting this notion, many lncRNAs are differentially expressed between different regions of the brain or in particular cell types, and many lncRNAs are dynamically expressed during embryonic or postnatal neurogenesis. Less is known about the functions of these genes, if any, but they are increasingly implicated in diverse processes in health and disease. Here, we review the current knowledge about the roles and importance of lncRNAs in the central and peripheral nervous systems and discuss the specific niches within gene regulatory networks that might be preferentially occupied by lncRNAs.
Collapse
Affiliation(s)
- Hadas Hezroni
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Rotem Ben Tov Perry
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Igor Ulitsky
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot 76100, Israel
| |
Collapse
|
21
|
Breitfeld J, Kehr S, Müller L, Stadler PF, Böttcher Y, Blüher M, Stumvoll M, Kovacs P. Developmentally Driven Changes in Adipogenesis in Different Fat Depots Are Related to Obesity. Front Endocrinol (Lausanne) 2020; 11:138. [PMID: 32273869 PMCID: PMC7115744 DOI: 10.3389/fendo.2020.00138] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Accepted: 02/28/2020] [Indexed: 12/13/2022] Open
Abstract
Subcutaneous (sc) and visceral (vis) adipose tissue (AT) contribute to the variability in pathophysiological consequences of obesity and adverse fat distribution. To gain insights into the molecular mechanisms distinguishing vis and sc fat, we compared the transcriptome during differentiation of immortalized adipocytes from murine epididymal (epi) and inguinal (ing) AT. RNA was extracted on different days of adipogenesis (-2, 0, 2, 4, 6, 8) and analyzed using Clariom™ D mouse assays (Affymetrix) covering >214,900 transcripts in >66,100 genes. Transcript Time Course Analysis revealed 137 differentially expressed genes. The top genes with most divergent expression dynamics included developmental genes like Alx1, Lhx8, Irx1/2, Hoxc10, Hoxa5/10, and Tbx5/15. According to pathway analysis the majority of the genes were enriched in pathways related to AT development. Finally, in paired samples of human vis and sc AT (N = 63), several of these genes exhibited depot-specific variability in expression which correlated closely with body mass index and/or waist-to-hip ratio. In conclusion, intrinsically programmed differences in gene expression patterns during adipogenesis suggest that fat depot specific regulation of adipogenesis contributes to individual risk of obesity.
Collapse
Affiliation(s)
- Jana Breitfeld
- University of Leipzig Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- *Correspondence: Jana Breitfeld
| | - Stephanie Kehr
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
| | - Luise Müller
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Peter F. Stadler
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany
- Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
- Facultad de Ciencias, Universidad National de Colombia, Bogotá, Colombia
- Santa Fe Institute, Santa Fe, NM, United States
- Institute for Theoretical Chemistry, University of Vienna, Vienna, Austria
| | - Yvonne Böttcher
- University of Leipzig Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Clinical Molecular Biology, Akershus Universitetssykehus, Lørenskog, Norway
| | - Matthias Blüher
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Michael Stumvoll
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Peter Kovacs
- University of Leipzig Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
- Medical Department III—Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
- Peter Kovacs
| |
Collapse
|
22
|
Cai P, Otten ABC, Cheng B, Ishii MA, Zhang W, Huang B, Qu K, Sun BK. A genome-wide long noncoding RNA CRISPRi screen identifies PRANCR as a novel regulator of epidermal homeostasis. Genome Res 2019; 30:22-34. [PMID: 31804951 PMCID: PMC6961571 DOI: 10.1101/gr.251561.119] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 11/26/2019] [Indexed: 12/11/2022]
Abstract
Genome-wide association studies indicate that many disease susceptibility regions reside in non-protein-coding regions of the genome. Long noncoding RNAs (lncRNAs) are a major component of the noncoding genome, but their biological impacts are not fully understood. Here, we performed a CRISPR interference (CRISPRi) screen on 2263 epidermis-expressed lncRNAs and identified nine novel candidate lncRNAs regulating keratinocyte proliferation. We further characterized a top hit from the screen, progenitor renewal associated non-coding RNA (PRANCR), using RNA interference–mediated knockdown and phenotypic analysis in organotypic human tissue. PRANCR regulates keratinocyte proliferation, cell cycle progression, and clonogenicity. PRANCR-deficient epidermis displayed impaired stratification with reduced expression of differentiation genes that are altered in human skin diseases, including keratins 1 and 10, filaggrin, and loricrin. Transcriptome analysis showed that PRANCR controls the expression of 1136 genes, with strong enrichment for late cell cycle genes containing a CHR promoter element. In addition, PRANCR depletion led to increased levels of both total and nuclear CDKN1A (also known as p21), which is known to govern both keratinocyte proliferation and differentiation. Collectively, these data show that PRANCR is a novel lncRNA regulating epidermal homeostasis and identify other lncRNA candidates that may have roles in this process as well.
Collapse
Affiliation(s)
- Pengfei Cai
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, Department of Oncology of the First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Auke B C Otten
- Department of Dermatology, University of California-San Diego, La Jolla, California 92109, USA
| | - Binbin Cheng
- Department of Dermatology, University of California-San Diego, La Jolla, California 92109, USA
| | - Mitsuhiro A Ishii
- Department of Dermatology, University of California-San Diego, La Jolla, California 92109, USA
| | - Wen Zhang
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, Department of Oncology of the First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Beibei Huang
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, Department of Oncology of the First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China
| | - Kun Qu
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, the CAS Key Laboratory of Innate Immunity and Chronic Disease, Department of Oncology of the First Affiliated Hospital, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China.,CAS Center for Excellence in Molecular Cell Sciences, University of Science and Technology of China, Hefei, 230027, China
| | - Bryan K Sun
- Department of Dermatology, University of California-San Diego, La Jolla, California 92109, USA
| |
Collapse
|
23
|
Rom A, Melamed L, Gil N, Goldrich MJ, Kadir R, Golan M, Biton I, Perry RBT, Ulitsky I. Regulation of CHD2 expression by the Chaserr long noncoding RNA gene is essential for viability. Nat Commun 2019; 10:5092. [PMID: 31704914 PMCID: PMC6841665 DOI: 10.1038/s41467-019-13075-8] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 10/18/2019] [Indexed: 12/13/2022] Open
Abstract
Chromodomain helicase DNA binding protein 2 (Chd2) is a chromatin remodeller implicated in neurological disease. Here we show that Chaserr, a highly conserved long noncoding RNA transcribed from a region near the transcription start site of Chd2 and on the same strand, acts in concert with the CHD2 protein to maintain proper Chd2 expression levels. Loss of Chaserr in mice leads to early postnatal lethality in homozygous mice, and severe growth retardation in heterozygotes. Mechanistically, loss of Chaserr leads to substantially increased Chd2 mRNA and protein levels, which in turn lead to transcriptional interference by inhibiting promoters found downstream of highly expressed genes. We further show that Chaserr production represses Chd2 expression solely in cis, and that the phenotypic consequences of Chaserr loss are rescued when Chd2 is perturbed as well. Targeting Chaserr is thus a potential strategy for increasing CHD2 levels in haploinsufficient individuals.
Collapse
Affiliation(s)
- Aviv Rom
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Liliya Melamed
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Noa Gil
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | | | - Rotem Kadir
- National Institute for Biotechnology in the Negev and Department of Microbiology, Immunology and Genetics, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Matan Golan
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Inbal Biton
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Rotem Ben-Tov Perry
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel
| | - Igor Ulitsky
- Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
24
|
Lavalou P, Eckert H, Damy L, Constanty F, Majello S, Bitetti A, Graindorge A, Shkumatava A. Strategies for genetic inactivation of long noncoding RNAs in zebrafish. RNA (NEW YORK, N.Y.) 2019; 25:897-904. [PMID: 31043511 PMCID: PMC6633201 DOI: 10.1261/rna.069484.118] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Accepted: 04/27/2019] [Indexed: 06/09/2023]
Abstract
The number of annotated long noncoding RNAs (lncRNAs) continues to grow; however, their functional characterization in model organisms has been hampered by the lack of reliable genetic inactivation strategies. While partial or full deletions of lncRNA loci disrupt lncRNA expression, they do not permit the formal association of a phenotype with the encoded transcript. Here, we examined several alternative strategies for generating lncRNA null alleles in zebrafish and found that they often resulted in unpredicted changes to lncRNA expression. Removal of the transcription start sites (TSSs) of lncRNA genes resulted in hypomorphic mutants, due to the usage of either constitutive or tissue-specific alternative TSSs. Deletions of short, highly conserved lncRNA regions can also lead to overexpression of truncated transcripts. In contrast, knock-in of a polyadenylation signal enabled complete inactivation of malat1, the most abundant vertebrate lncRNA. In summary, lncRNA null alleles require extensive in vivo validation, and we propose insertion of transcription termination sequences as the most reliable approach to generate lncRNA-deficient zebrafish.
Collapse
Affiliation(s)
- Perrine Lavalou
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Helene Eckert
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Louise Damy
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Florian Constanty
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Sara Majello
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Angelo Bitetti
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Antoine Graindorge
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| | - Alena Shkumatava
- Institut Curie, PSL Research University, CNRS UMR3215, INSERM U934, 75005 Paris, France
| |
Collapse
|
25
|
Welte T, Tuck AC, Papasaikas P, Carl SH, Flemr M, Knuckles P, Rankova A, Bühler M, Großhans H. The RNA hairpin binder TRIM71 modulates alternative splicing by repressing MBNL1. Genes Dev 2019; 33:1221-1235. [PMID: 31371437 PMCID: PMC6719626 DOI: 10.1101/gad.328492.119] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 06/19/2019] [Indexed: 01/19/2023]
Abstract
In this study, Welte et al. investigated the dual roles of mammalian TRIM71, a phylogenetically conserved regulator of development, in the control of stem cell fate. They demonstrate that TRIM71 shapes the transcriptome of mESCs predominantly through its RNA-binding activity and identify a set of primary targets consistently regulated in various human and mouse cell lines, including MBNL1/Muscleblind. TRIM71/LIN-41, a phylogenetically conserved regulator of development, controls stem cell fates. Mammalian TRIM71 exhibits both RNA-binding and protein ubiquitylation activities, but the functional contribution of either activity and relevant primary targets remain poorly understood. Here, we demonstrate that TRIM71 shapes the transcriptome of mouse embryonic stem cells (mESCs) predominantly through its RNA-binding activity. We reveal that TRIM71 binds targets through 3′ untranslated region (UTR) hairpin motifs and that it acts predominantly by target degradation. TRIM71 mutations implicated in etiogenesis of human congenital hydrocephalus impair target silencing. We identify a set of primary targets consistently regulated in various human and mouse cell lines, including MBNL1 (Muscleblind-like protein 1). MBNL1 promotes cell differentiation through regulation of alternative splicing, and we demonstrate that TRIM71 promotes embryonic splicing patterns through MBNL1 repression. Hence, repression of MBNL1-dependent alternative splicing may contribute to TRIM71's function in regulating stem cell fates.
Collapse
Affiliation(s)
- Thomas Welte
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Alex C Tuck
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Panagiotis Papasaikas
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.,Swiss Institute of Bioinformatics, 4058 Basel, Switzerland.,These authors contributed equally to this work
| | - Sarah H Carl
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.,Swiss Institute of Bioinformatics, 4058 Basel, Switzerland.,These authors contributed equally to this work
| | - Matyas Flemr
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Philip Knuckles
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland
| | - Aneliya Rankova
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.,University of Basel, 4056 Basel, Switzerland
| | - Marc Bühler
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.,University of Basel, 4056 Basel, Switzerland
| | - Helge Großhans
- Friedrich Miescher Institute for Biomedical Research, 4058 Basel, Switzerland.,University of Basel, 4056 Basel, Switzerland
| |
Collapse
|
26
|
Amin N, McGrath A, Chen YPP. Evaluation of deep learning in non-coding RNA classification. NAT MACH INTELL 2019. [DOI: 10.1038/s42256-019-0051-2] [Citation(s) in RCA: 67] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
|