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Mably JD, Wang DZ. Long non-coding RNAs in cardiac hypertrophy and heart failure: functions, mechanisms and clinical prospects. Nat Rev Cardiol 2024; 21:326-345. [PMID: 37985696 PMCID: PMC11031336 DOI: 10.1038/s41569-023-00952-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/16/2023] [Indexed: 11/22/2023]
Abstract
The surge in reports describing non-coding RNAs (ncRNAs) has focused attention on their possible biological roles and effects on development and disease. ncRNAs have been touted as previously uncharacterized regulators of gene expression and cellular processes, possibly working to fine-tune these functions. The sheer number of ncRNAs identified has outpaced the capacity to characterize each molecule thoroughly and to reliably establish its clinical relevance; it has, nonetheless, created excitement about their potential as molecular targets for novel therapeutic approaches to treat human disease. In this Review, we focus on one category of ncRNAs - long non-coding RNAs - and their expression, functions and molecular mechanisms in cardiac hypertrophy and heart failure. We further discuss the prospects for this specific class of ncRNAs as novel targets for the diagnosis and treatment of these conditions.
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Affiliation(s)
- John D Mably
- Center for Regenerative Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
- USF Health Heart Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Da-Zhi Wang
- Center for Regenerative Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
- USF Health Heart Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
- Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
- Department of Molecular Pharmacology and Physiology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
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2
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Romeo-Cardeillac C, Trovero MF, Radío S, Smircich P, Rodríguez-Casuriaga R, Geisinger A, Sotelo-Silveira J. Uncovering a multitude of stage-specific splice variants and putative protein isoforms generated along mouse spermatogenesis. BMC Genomics 2024; 25:295. [PMID: 38509455 PMCID: PMC10953240 DOI: 10.1186/s12864-024-10170-z] [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: 10/02/2023] [Accepted: 02/28/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Mammalian testis is a highly complex and heterogeneous tissue. This complexity, which mostly derives from spermatogenic cells, is reflected at the transcriptional level, with the largest number of tissue-specific genes and long noncoding RNAs (lncRNAs) compared to other tissues, and one of the highest rates of alternative splicing. Although it is known that adequate alternative-splicing patterns and stage-specific isoforms are critical for successful spermatogenesis, so far only a very limited number of reports have addressed a detailed study of alternative splicing and isoforms along the different spermatogenic stages. RESULTS In the present work, using highly purified stage-specific testicular cell populations, we detected 33,002 transcripts expressed throughout mouse spermatogenesis not annotated so far. These include both splice variants of already annotated genes, and of hitherto unannotated genes. Using conservative criteria, we uncovered 13,471 spermatogenic lncRNAs, which reflects the still incomplete annotation of lncRNAs. A distinctive feature of lncRNAs was their lower number of splice variants compared to protein-coding ones, adding to the conclusion that lncRNAs are, in general, less complex than mRNAs. Besides, we identified 2,794 unannotated transcripts with high coding potential (including some arising from yet unannotated genes), many of which encode unnoticed putative testis-specific proteins. Some of the most interesting coding splice variants were chosen, and validated through RT-PCR. Remarkably, the largest number of stage-specific unannotated transcripts are expressed during early meiotic prophase stages, whose study has been scarcely addressed in former transcriptomic analyses. CONCLUSIONS We detected a high number of yet unannotated genes and alternatively spliced transcripts along mouse spermatogenesis, hence showing that the transcriptomic diversity of the testis is considerably higher than previously reported. This is especially prominent for specific, underrepresented stages such as those of early meiotic prophase, and its unveiling may constitute a step towards the understanding of their key events.
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Affiliation(s)
- Carlos Romeo-Cardeillac
- Laboratory of Molecular Biology of Reproduction, Department of Molecular Biology, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), 11,600, Montevideo, Uruguay
- Department of Genomics, IIBCE, 11,600, Montevideo, Uruguay
| | - María Fernanda Trovero
- Laboratory of Molecular Biology of Reproduction, Department of Molecular Biology, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), 11,600, Montevideo, Uruguay
- Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Santiago Radío
- Department of Genomics, IIBCE, 11,600, Montevideo, Uruguay
| | - Pablo Smircich
- Department of Genomics, IIBCE, 11,600, Montevideo, Uruguay
| | - Rosana Rodríguez-Casuriaga
- Laboratory of Molecular Biology of Reproduction, Department of Molecular Biology, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), 11,600, Montevideo, Uruguay
| | - Adriana Geisinger
- Laboratory of Molecular Biology of Reproduction, Department of Molecular Biology, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), 11,600, Montevideo, Uruguay.
- Biochemistry-Molecular Biology, Facultad de Ciencias, Universidad de la República (UdelaR), 11,400, Montevideo, Uruguay.
| | - José Sotelo-Silveira
- Department of Genomics, IIBCE, 11,600, Montevideo, Uruguay.
- Department of Cell and Molecular Biology, Facultad de Ciencias, UdelaR, 11,400, Montevideo, Uruguay.
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Carpinteyro-Ponce J, Machado CA. The Complex Landscape of Structural Divergence Between the Drosophila pseudoobscura and D. persimilis Genomes. Genome Biol Evol 2024; 16:evae047. [PMID: 38482945 PMCID: PMC10980976 DOI: 10.1093/gbe/evae047] [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] [Accepted: 03/07/2024] [Indexed: 04/01/2024] Open
Abstract
Structural genomic variants are key drivers of phenotypic evolution. They can span hundreds to millions of base pairs and can thus affect large numbers of genetic elements. Although structural variation is quite common within and between species, its characterization depends upon the quality of genome assemblies and the proportion of repetitive elements. Using new high-quality genome assemblies, we report a complex and previously hidden landscape of structural divergence between the genomes of Drosophila persimilis and D. pseudoobscura, two classic species in speciation research, and study the relationships among structural variants, transposable elements, and gene expression divergence. The new assemblies confirm the already known fixed inversion differences between these species. Consistent with previous studies showing higher levels of nucleotide divergence between fixed inversions relative to collinear regions of the genome, we also find a significant overrepresentation of INDELs inside the inversions. We find that transposable elements accumulate in regions with low levels of recombination, and spatial correlation analyses reveal a strong association between transposable elements and structural variants. We also report a strong association between differentially expressed (DE) genes and structural variants and an overrepresentation of DE genes inside the fixed chromosomal inversions that separate this species pair. Interestingly, species-specific structural variants are overrepresented in DE genes involved in neural development, spermatogenesis, and oocyte-to-embryo transition. Overall, our results highlight the association of transposable elements with structural variants and their importance in driving evolutionary divergence.
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Affiliation(s)
| | - Carlos A Machado
- Department of Biology, University of Maryland, College Park, MD, USA
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4
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Weghorst F, Torres Marcén M, Faridi G, Lee YCG, Cramer KS. Deep Conservation and Unexpected Evolutionary History of Neighboring lncRNAs MALAT1 and NEAT1. J Mol Evol 2024; 92:30-41. [PMID: 38189925 PMCID: PMC10869381 DOI: 10.1007/s00239-023-10151-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/29/2023] [Indexed: 01/09/2024]
Abstract
Long non-coding RNAs (lncRNAs) have begun to receive overdue attention for their regulatory roles in gene expression and other cellular processes. Although most lncRNAs are lowly expressed and tissue-specific, notable exceptions include MALAT1 and its genomic neighbor NEAT1, two highly and ubiquitously expressed oncogenes with roles in transcriptional regulation and RNA splicing. Previous studies have suggested that NEAT1 is found only in mammals, while MALAT1 is present in all gnathostomes (jawed vertebrates) except birds. Here we show that these assertions are incomplete, likely due to the challenges associated with properly identifying these two lncRNAs. Using phylogenetic analysis and structure-aware annotation of publicly available genomic and RNA-seq coverage data, we show that NEAT1 is a common feature of tetrapod genomes except birds and squamates. Conversely, we identify MALAT1 in representative species of all major gnathostome clades, including birds. Our in-depth examination of MALAT1, NEAT1, and their genomic context in a wide range of vertebrate species allows us to reconstruct the series of events that led to the formation of the locus containing these genes in taxa from cartilaginous fish to mammals. This evolutionary history includes the independent loss of NEAT1 in birds and squamates, since NEAT1 is found in the closest living relatives of both clades (crocodilians and tuataras, respectively). These data clarify the origins and relationships of MALAT1 and NEAT1 and highlight an opportunity to study the change and continuity in lncRNA structure and function over deep evolutionary time.
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Affiliation(s)
- Forrest Weghorst
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Martí Torres Marcén
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Garrison Faridi
- Department of Neurobiology and Behavior, University of California, Irvine, USA
| | - Yuh Chwen G Lee
- Department of Ecology and Evolutionary Biology, University of California, Irvine, USA
| | - Karina S Cramer
- Department of Neurobiology and Behavior, University of California, Irvine, USA.
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5
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Kang J, Chung A, Suresh S, Bonzi LC, Sourisse JM, Ramirez‐Calero S, Romeo D, Petit‐Marty N, Pegueroles C, Schunter C. Long non-coding RNAs mediate fish gene expression in response to ocean acidification. Evol Appl 2024; 17:e13655. [PMID: 38357358 PMCID: PMC10866067 DOI: 10.1111/eva.13655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 01/18/2024] [Accepted: 01/23/2024] [Indexed: 02/16/2024] Open
Abstract
The majority of the transcribed genome does not have coding potential but these non-coding transcripts play crucial roles in transcriptional and post-transcriptional regulation of protein-coding genes. Regulation of gene expression is important in shaping an organism's response to environmental changes, ultimately impacting their survival and persistence as population or species face global change. However, the roles of long non-coding RNAs (lncRNAs), when confronted with environmental changes, remain largely unclear. To explore the potential role of lncRNAs in fish exposed to ocean acidification (OA), we analyzed publicly available brain RNA-seq data from a coral reef fish Acanthochromis polyacanthus. We annotated the lncRNAs in its genome and examined the expression changes of intergenic lncRNAs (lincRNAs) between A. polyacanthus samples from a natural CO2 seep and a nearby control site. We identified 4728 lncRNAs, including 3272 lincRNAs in this species. Remarkably, 93.03% of these lincRNAs were species-specific. Among the 125 highly expressed lincRNAs and 403 differentially expressed lincRNAs in response to elevated CO2, we observed that lincRNAs were either neighboring or potentially trans-regulating differentially expressed coding genes associated with pH regulation, neural signal transduction, and ion transport, which are known to be important in the response to OA in fish. In summary, lncRNAs may facilitate fish acclimation and mediate the responses of fish to OA by modulating the expression of crucial coding genes, which offers insight into the regulatory mechanisms underlying fish responses to environmental changes.
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Affiliation(s)
- Jingliang Kang
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Arthur Chung
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Sneha Suresh
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Lucrezia C. Bonzi
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Jade M. Sourisse
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Sandra Ramirez‐Calero
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Daniele Romeo
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Natalia Petit‐Marty
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
| | - Cinta Pegueroles
- Department of Genetics, Microbiology and Statistics, Institute for Research on Biodiversity (IRBio)University of BarcelonaBarcelonaSpain
| | - Celia Schunter
- Swire Institute of Marine Science, School of Biological SciencesThe University of Hong KongPokfulamHong Kong SAR
- State Key Laboratory of Marine Pollution and Department of ChemistryCity University of Hong KongHong Kong SARChina
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Hou Y, Diao L, Hu Y, Zhang Q, Lv G, Tao S, Xu W, Xie S, Zhang Q, Xiao Z. The Conserved LncRNA DIO3OS Restricts Hepatocellular Carcinoma Stemness by Interfering with NONO-Mediated Nuclear Export of ZEB1 mRNA. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301983. [PMID: 37271897 PMCID: PMC10427364 DOI: 10.1002/advs.202301983] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 04/28/2023] [Indexed: 06/06/2023]
Abstract
Hepatocellular carcinoma (HCC) is an aggressive and fatal disease caused by a subset of cancer stem cells (CSCs). It is estimated that there are approximately 100 000 long noncoding RNAs (lncRNAs) in humans. However, the mechanisms by which lncRNAs affect tumor stemness remain poorly understood. In the present study, it is found that DIO3OS is a conserved lncRNA that is generally downregulated in multiple cancers, including HCC, and its low expression correlates with poor clinical outcomes in HCC. In in vitro cancer cell lines and an in vivo spontaneous HCC mouse model, DIO3OS markedly represses tumor development via its suppressive role in CSCs through downregulation of zinc finger E-box binding homeobox 1 (ZEB1). Interestingly, DIO3OS represses ZEB1 post-transcriptionally without affecting its mRNA levels. Subsequent experiments show that DIO3OS interacts with the NONO protein and restricts NONO-mediated nuclear export of ZEB1 mRNA. Overall, these findings demonstrate that the DIO3OS-NONO-ZEB1 axis restricts HCC development and offers a valuable candidate for CSC-targeted therapeutics for HCC.
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Affiliation(s)
- Ya‐Rui Hou
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Li‐Ting Diao
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Yan‐Xia Hu
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Qian‐Qian Zhang
- School of Life Sciences and BiopharmaceuticsGuangdong Pharmaceutical UniversityGuangzhou510006P. R. China
| | - Guo Lv
- Guangdong Key Laboratory of Liver Disease ResearchThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Shuang Tao
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Wan‐Yi Xu
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Shu‐Juan Xie
- Institute of VaccineThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Qi Zhang
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
- Institute of VaccineThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
| | - Zhen‐Dong Xiao
- Biotherapy CenterThe Third Affiliated HospitalSun Yat‐sen UniversityGuangzhou510630P. R. China
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7
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Li Z, Zhang H, Li Q, Feng W, Jia X, Zhou R, Huang Y, Li Y, Hu Z, Hu X, Zhu X, Huang S. GepLiver: an integrative liver expression atlas spanning developmental stages and liver disease phases. Sci Data 2023; 10:376. [PMID: 37301898 PMCID: PMC10257690 DOI: 10.1038/s41597-023-02257-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Chronic liver diseases usually developed through stepwise pathological transitions under the persistent risk factors. The molecular changes during liver transitions are pivotal to improve liver diagnostics and therapeutics yet still remain elusive. Cumulative large-scale liver transcriptomic studies have been revealing molecular landscape of various liver conditions at bulk and single-cell resolution, however, neither single experiment nor databases enabled thorough investigations of transcriptomic dynamics along the progression of liver diseases. Here we establish GepLiver, a longitudinal and multidimensional liver expression atlas integrating expression profiles of 2469 human bulk tissues, 492 mouse samples, 409,775 single cells from 347 human samples and 27 liver cell lines spanning 16 liver phenotypes with uniformed processing and annotating methods. Using GepLiver, we have demonstrated dynamic changes of gene expression, cell abundance and crosstalk harboring meaningful biological associations. GepLiver can be applied to explore the evolving expression patterns and transcriptomic features for genes and cell types respectively among liver phenotypes, assisting the investigation of liver transcriptomic dynamics and informing biomarkers and targets for liver diseases.
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Affiliation(s)
- Ziteng Li
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hena Zhang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Qin Li
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Wanjing Feng
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiya Jia
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Runye Zhou
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi Huang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Yan Li
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhixiang Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xichun Hu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Xiaodong Zhu
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Shenglin Huang
- Department of Medical Oncology, Fudan University Shanghai Cancer Center, and Shanghai Key Laboratory of Medical Epigenetics, International Co-laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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8
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Zhou Q, Jiang Y, Cai C, Li W, Leow MKS, Yang Y, Liu J, Xu D, Sun L. Multidimensional conservation analysis decodes the expression of conserved long noncoding RNAs. Life Sci Alliance 2023; 6:e202302002. [PMID: 37024123 PMCID: PMC10078953 DOI: 10.26508/lsa.202302002] [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: 02/20/2023] [Revised: 03/21/2023] [Accepted: 03/21/2023] [Indexed: 04/08/2023] Open
Abstract
Although long noncoding RNAs (lncRNAs) experience weaker evolutionary constraints and exhibit lower sequence conservation than coding genes, they can still conserve their features in various aspects. Here, we used multiple approaches to systemically evaluate the conservation between human and mouse lncRNAs from various dimensions including sequences, promoter, global synteny, and local synteny, which led to the identification of 1,731 conserved lncRNAs with 427 high-confidence ones meeting multiple criteria. Conserved lncRNAs, compared with non-conserved ones, generally have longer gene bodies, more exons and transcripts, stronger connections with human diseases, and are more abundant and widespread across different tissues. Transcription factor (TF) profile analysis revealed a significant enrichment of TF types and numbers in the promoters of conserved lncRNAs. We further identified a set of TFs that preferentially bind to conserved lncRNAs and exert stronger regulation on conserved than non-conserved lncRNAs. Our study has reconciled some discrepant interpretations of lncRNA conservation and revealed a new set of transcriptional factors ruling the expression of conserved lncRNAs.
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Affiliation(s)
- Qiuzhong Zhou
- Cardiovascular & Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
| | - Yuxi Jiang
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chaoqun Cai
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Wen Li
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Melvin Khee-Shing Leow
- Cardiovascular & Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore
| | - Yi Yang
- Program in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Jin Liu
- Program in Health Services & Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Dan Xu
- Zhejiang Provincial Key Laboratory of Medical Genetics, Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, China
| | - Lei Sun
- Cardiovascular & Metabolic Disorders Program, Duke-NUS Medical School, Singapore, Singapore
- Institute of Molecular and Cell Biology, Singapore, Singapore
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9
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Sullivan PF, Meadows JRS, Gazal S, Phan BN, Li X, Genereux DP, Dong MX, Bianchi M, Andrews G, Sakthikumar S, Nordin J, Roy A, Christmas MJ, Marinescu VD, Wang C, Wallerman O, Xue J, Yao S, Sun Q, Szatkiewicz J, Wen J, Huckins LM, Lawler A, Keough KC, Zheng Z, Zeng J, Wray NR, Li Y, Johnson J, Chen J, Paten B, Reilly SK, Hughes GM, Weng Z, Pollard KS, Pfenning AR, Forsberg-Nilsson K, Karlsson EK, Lindblad-Toh K. Leveraging base-pair mammalian constraint to understand genetic variation and human disease. Science 2023; 380:eabn2937. [PMID: 37104612 PMCID: PMC10259825 DOI: 10.1126/science.abn2937] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/09/2023] [Indexed: 04/29/2023]
Abstract
Thousands of genomic regions have been associated with heritable human diseases, but attempts to elucidate biological mechanisms are impeded by an inability to discern which genomic positions are functionally important. Evolutionary constraint is a powerful predictor of function, agnostic to cell type or disease mechanism. Single-base phyloP scores from 240 mammals identified 3.3% of the human genome as significantly constrained and likely functional. We compared phyloP scores to genome annotation, association studies, copy-number variation, clinical genetics findings, and cancer data. Constrained positions are enriched for variants that explain common disease heritability more than other functional annotations. Our results improve variant annotation but also highlight that the regulatory landscape of the human genome still needs to be further explored and linked to disease.
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Affiliation(s)
- Patrick F. Sullivan
- Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 17177 Stockholm, Sweden
| | - Jennifer R. S. Meadows
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Steven Gazal
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- Center for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - BaDoi N. Phan
- Department of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Xue Li
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Diane P. Genereux
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Michael X. Dong
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Matteo Bianchi
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Gregory Andrews
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Sharadha Sakthikumar
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Jessika Nordin
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Ananya Roy
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75185 Uppsala, Sweden
| | - Matthew J. Christmas
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Voichita D. Marinescu
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Chao Wang
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - Ola Wallerman
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
| | - James Xue
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Center for System Biology, Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Shuyang Yao
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, 17177 Stockholm, Sweden
| | - Quan Sun
- Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA
| | - Jin Szatkiewicz
- Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA
| | - Jia Wen
- Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA
| | - Laura M. Huckins
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alyssa Lawler
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Kathleen C. Keough
- Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
| | - Zhili Zheng
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia
| | - Jian Zeng
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia
| | - Naomi R. Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia
| | - Yun Li
- Department of Genetics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA
| | - Jessica Johnson
- Department of Genetic and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jiawen Chen
- Department of Biostatistics, University of North Carolina Medical School, Chapel Hill, NC 27599, USA
| | | | - Benedict Paten
- UC Santa Cruz Genomics Institute, Santa Cruz, CA 95064, USA
| | - Steven K. Reilly
- Department of Genetics, Yale School of Medicine, New Haven, CT 06510, USA
| | - Graham M. Hughes
- School of Biology and Environmental Science, University College Dublin, Belfield, Dublin 4, Ireland
| | - Zhiping Weng
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Katherine S. Pollard
- Gladstone Institutes, San Francisco, CA 94158, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Andreas R. Pfenning
- Department of Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Karin Forsberg-Nilsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, 75185 Uppsala, Sweden
- Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK
| | - Elinor K. Karlsson
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Program in Molecular Medicine, UMass Chan Medical School, Worcester, MA 01605, USA
| | - Kerstin Lindblad-Toh
- Department of Medical Biochemistry and Microbiology, Science for Life Laboratory, Uppsala University, 75132 Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
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10
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Su C, Ding C, Zhao Y, He B, Nie R, Hao J. Diapause-Linked Gene Expression Pattern and Related Candidate Duplicated Genes of the Mountain Butterfly Parnassius glacialis (Lepidoptera: Papilionidae) Revealed by Comprehensive Transcriptome Profiling. Int J Mol Sci 2023; 24:5577. [PMID: 36982649 PMCID: PMC10058462 DOI: 10.3390/ijms24065577] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/08/2023] [Accepted: 03/13/2023] [Indexed: 03/17/2023] Open
Abstract
The mountain butterfly Parnassius glacialis is a representative species of the genus Parnassius, which probably originated in the high-altitude Qinhai-Tibet Plateau in the Miocene and later dispersed eastward into relatively low-altitude regions of central to eastern China. However, little is known about the molecular mechanisms underlying the long-term evolutionary adaptation to heterogeneous environmental conditions of this butterfly species. In this study, we obtained the high-throughput RNA-Seq data from twenty-four adult individuals in eight localities, covering nearly all known distributional areas in China, and firstly identified the diapause-linked gene expression pattern that is likely to correlate with local adaptation in adult P. glacialis populations. Secondly, we found a series of pathways responsible for hormone biosynthesis, energy metabolism and immune defense that also exhibited unique enrichment patterns in each group that are probably related to habitat-specific adaptability. Furthermore, we also identified a suite of duplicated genes (including two transposable elements) that are mostly co-expressed to promote the plastic responses to different environmental conditions. Together, these findings can help us to better understand this species' successful colonization to distinct geographic areas from the western to eastern areas of China, and also provide us with some insights into the evolution of diapause in mountain Parnassius butterfly species.
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Affiliation(s)
| | | | | | | | | | - Jiasheng Hao
- College of Life Sciences, Anhui Normal University, Wuhu 241000, China
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11
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Qian SH, Chen L, Xiong YL, Chen ZX. Evolution and function of developmentally dynamic pseudogenes in mammals. Genome Biol 2022; 23:235. [PMID: 36348461 PMCID: PMC9641868 DOI: 10.1186/s13059-022-02802-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 10/23/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Pseudogenes are excellent markers for genome evolution, which are emerging as crucial regulators of development and disease, especially cancer. However, systematic functional characterization and evolution of pseudogenes remain largely unexplored. RESULTS To systematically characterize pseudogenes, we date the origin of human and mouse pseudogenes across vertebrates and observe a burst of pseudogene gain in these two lineages. Based on a hybrid sequencing dataset combining full-length PacBio sequencing, sample-matched Illumina sequencing, and public time-course transcriptome data, we observe that abundant mammalian pseudogenes could be transcribed, which contribute to the establishment of organ identity. Our analyses reveal that developmentally dynamic pseudogenes are evolutionarily conserved and show an increasing weight during development. Besides, they are involved in complex transcriptional and post-transcriptional modulation, exhibiting the signatures of functional enrichment. Coding potential evaluation suggests that 19% of human pseudogenes could be translated, thus serving as a new way for protein innovation. Moreover, pseudogenes carry disease-associated SNPs and conduce to cancer transcriptome perturbation. CONCLUSIONS Our discovery reveals an unexpectedly high abundance of mammalian pseudogenes that can be transcribed and translated, and these pseudogenes represent a novel regulatory layer. Our study also prioritizes developmentally dynamic pseudogenes with signatures of functional enrichment and provides a hybrid sequencing dataset for further unraveling their biological mechanisms in organ development and carcinogenesis in the future.
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Affiliation(s)
- Sheng Hu Qian
- Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, 430070 PR China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 PR China
| | - Lu Chen
- Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, 430070 PR China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 PR China
| | - Yu-Li Xiong
- Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, 430070 PR China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 PR China
| | - Zhen-Xia Chen
- Hubei Hongshan Laboratory, College of Biomedicine and Health, Huazhong Agricultural University, Wuhan, 430070 PR China
- Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, 430070 PR China
- Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan, 430070 PR China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen, 518124 PR China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124 PR China
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12
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Manti PG, Darbellay F, Leleu M, Coughlan AY, Moret B, Cuennet J, Droux F, Stoudmann M, Mancini GF, Hautier A, Sordet-Dessimoz J, Vincent SD, Testa G, Cossu G, Barrandon Y. The Transcriptional Regulator Prdm1 Is Essential for the Early Development of the Sensory Whisker Follicle and Is Linked to the Beta-Catenin First Dermal Signal. Biomedicines 2022; 10:2647. [PMID: 36289911 PMCID: PMC9599752 DOI: 10.3390/biomedicines10102647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/06/2022] [Accepted: 10/12/2022] [Indexed: 11/18/2022] Open
Abstract
Prdm1 mutant mice are one of the rare mutant strains that do not develop whisker hair follicles while still displaying a pelage. Here, we show that Prdm1 is expressed at the earliest stage of whisker development in clusters of mesenchymal cells before placode formation. Its conditional knockout in the murine soma leads to the loss of expression of Bmp2, Shh, Bmp4, Krt17, Edar, and Gli1, though leaving the β-catenin-driven first dermal signal intact. Furthermore, we show that Prdm1 expressing cells not only act as a signaling center but also as a multipotent progenitor population contributing to the several lineages of the adult whisker. We confirm by genetic ablation experiments that the absence of macro vibrissae reverberates on the organization of nerve wiring in the mystacial pads and leads to the reorganization of the barrel cortex. We demonstrate that Lef1 acts upstream of Prdm1 and identify a primate-specific deletion of a Lef1 enhancer named Leaf. This loss may have been significant in the evolutionary process, leading to the progressive defunctionalization and disappearance of vibrissae in primates.
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Affiliation(s)
- Pierluigi G Manti
- Laboratory of Stem Cell Dynamics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9, 20122 Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy
| | - Fabrice Darbellay
- Laboratory of Developmental Genomics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva Medical School, 1211 Geneva, Switzerland
| | - Marion Leleu
- BioInformatics Competence Center, UNIL-EPFL, 1015 Lausanne, Switzerland
| | - Aisling Y Coughlan
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy
| | - Bernard Moret
- Laboratory of Stem Cell Dynamics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
| | - Julien Cuennet
- Laboratory of Stem Cell Dynamics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
| | - Frederic Droux
- Laboratory of Stem Cell Dynamics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
| | - Magali Stoudmann
- Laboratory of Stem Cell Dynamics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
| | - Gian-Filippo Mancini
- Histology Core Facility, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
| | - Agnès Hautier
- Histology Core Facility, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
| | | | - Stephane D Vincent
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France
- Centre National de la Recherche Scientifique (CNRS), UMR7104, 67404 Illkirch, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), U1258, 67404 Illkirch, France
- Université de Strasbourg, 67404 Illkirch, France
| | - Giuseppe Testa
- Department of Oncology and Hemato-Oncology, University of Milan, Via Santa Sofia 9, 20122 Milan, Italy
- Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy
| | - Giulio Cossu
- Division of Cell Matrix Biology and Regenerative Medicine, University of Manchester, Manchester M139PL, UK
- Division of Neuroscience, IRCCS San Raffaele Hospital, 20132 Milan, Italy
| | - Yann Barrandon
- Laboratory of Stem Cell Dynamics, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne, 1015 Lausanne, Switzerland
- Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
- Duke-NUS Graduate Medical School, Singapore 169857, Singapore
- Department of Plastic, Reconstructive and Aesthetic Surgery, Singapore General Hospital, Singapore 169608, Singapore
- A*STAR Skin Research Labs, Singapore 138648, Singapore
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13
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Corona-Gomez JA, Coss-Navarrete EL, Garcia-Lopez IJ, Klapproth C, Pérez-Patiño JA, Fernandez-Valverde SL. Transcriptome-guided annotation and functional classification of long non-coding RNAs in Arabidopsis thaliana. Sci Rep 2022; 12:14063. [PMID: 35982083 PMCID: PMC9388643 DOI: 10.1038/s41598-022-18254-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 08/08/2022] [Indexed: 11/16/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are a prominent class of eukaryotic regulatory genes. Despite the numerous available transcriptomic datasets, the annotation of plant lncRNAs remains based on dated annotations that have been historically carried over. We present a substantially improved annotation of Arabidopsis thaliana lncRNAs, generated by integrating 224 transcriptomes in multiple tissues, conditions, and developmental stages. We annotate 6764 lncRNA genes, including 3772 that are novel. We characterize their tissue expression patterns and find 1425 lncRNAs are co-expressed with coding genes, with enriched functional categories such as chloroplast organization, photosynthesis, RNA regulation, transcription, and root development. This improved transcription-guided annotation constitutes a valuable resource for studying lncRNAs and the biological processes they may regulate.
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Affiliation(s)
| | | | | | - Christopher Klapproth
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center of Bioinformatics, Leipzig University, Härtelstraße 16-18, 04107, Leipzig, Germany.,ScaDS.AI Leipzig (Center for Scalable Data Analytics and Artificial Intelligence), Humboldstrasse 25, 04105, Leipzig, Germany
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14
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Ba H, Chen M, Li C. Cross-Species Analysis Reveals Co-Expressed Genes Regulating Antler Development in Cervidae. Front Genet 2022; 13:878078. [PMID: 35664330 PMCID: PMC9157503 DOI: 10.3389/fgene.2022.878078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 04/12/2022] [Indexed: 11/13/2022] Open
Abstract
Antlers constitute an interesting model for basic research in regenerative biology. Despite decades of being studied, much is still unknown about the genes related to antler development. Here, we utilized both the genome and antlerogenic periosteum (AP) transcriptome data of four deer species to reveal antler-related genes through cross-species comparative analysis. The results showed that the global gene expression pattern matches the status of antler phenotypes, supporting the fact that the genes expressed in the AP may be related to antler phenotypes. The upregulated genes of the AP in three-antlered deer showed evidence of co-expression, and their protein sequences were highly conserved. These genes were growth related and likely participated in antler development. In contrast, the upregulated genes in antler-less deer (Chinese water deer) were involved mainly in organismal death and growth failure, possibly related to the loss of antlers during evolution. Overall, this study demonstrates that the co-expressed genes in antlered deer may regulate antler development.
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Affiliation(s)
- Hengxing Ba
- Institute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun, China.,Jilin Provincial Key Laboratory of Deer Antler Biology, Changchun, China
| | - Min Chen
- School of Life Sciences, Institute of Eco-Chongming (IEC), East China Normal University, Shanghai, China.,Yangtze Delta Estuarine Wetland Ecosystem Observation and Research Station, Ministry of Education & Shanghai Science and Technology Committee, Shanghai, China
| | - Chunyi Li
- Institute of Antler Science and Product Technology, Changchun Sci-Tech University, Changchun, China.,College of Chinese Medicinal Materials, Jilin Agricultural University, Changchun, China.,Jilin Provincial Key Laboratory of Deer Antler Biology, Changchun, China
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15
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Munro C, Zapata F, Howison M, Siebert S, Dunn CW. Evolution of gene expression across species and specialized zooids in Siphonophora. Mol Biol Evol 2022; 39:6521037. [PMID: 35134205 PMCID: PMC8844502 DOI: 10.1093/molbev/msac027] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Siphonophores are complex colonial animals, consisting of asexually produced bodies (zooids) that are functionally specialized for specific tasks, including feeding, swimming, and sexual reproduction. Though this extreme functional specialization has captivated biologists for generations, its genomic underpinnings remain unknown. We use RNA-seq to investigate gene expression patterns in five zooids and one specialized tissue across seven siphonophore species. Analyses of gene expression across species present several challenges, including identification of comparable expression changes on gene trees with complex histories of speciation, duplication, and loss. We examine gene expression within species, conduct classical analyses examining expression patterns between species, and introduce species branch filtering, which allows us to examine the evolution of expression across species in a phylogenetic framework. Within and across species, we identified hundreds of zooid-specific and species-specific genes, as well as a number of putative transcription factors showing differential expression in particular zooids and developmental stages. We found that gene expression patterns tended to be largely consistent in zooids with the same function across species, but also some large lineage-specific shifts in gene expression. Our findings show that patterns of gene expression have the potential to define zooids in colonial organisms. Traditional analyses of the evolution of gene expression focus on the tips of gene phylogenies, identifying large-scale expression patterns that are zooid or species variable. The new explicit phylogenetic approach we propose here focuses on branches (not tips) offering a deeper evolutionary perspective into specific changes in gene expression within zooids along all branches of the gene (and species) trees.
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Affiliation(s)
- Catriona Munro
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI, 02912, USA
| | - Felipe Zapata
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Mark Howison
- Research Improving People’s Lives (RIPL), Providence, RI, USA
| | - Stefan Siebert
- Department of Molecular and Cellular Biology, University of California, Davis, California, 95616, USA
| | - Casey W Dunn
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, 06520, USA
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16
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Nelson Dittrich AC, Nelson ADL. High-Throughput Evolutionary Comparative Analysis of Long Intergenic Noncoding RNAs in Multiple Organisms. Methods Mol Biol 2022; 2512:45-60. [PMID: 35817998 DOI: 10.1007/978-1-0716-2429-6_3] [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] [Indexed: 06/15/2023]
Abstract
Comparative genomic and transcriptomic analyses can help prioritize and facilitate the functional analysis of long noncoding RNAs (lncRNAs). Evolinc-II is a bioinformatic pipeline that automates comparative analyses, searching for sequence and structural conservation for thousands of lncRNAs at once. In addition, Evolinc-II takes a phylogenetic approach to infer key evolutionary events that may have occurred during the emergence of each query lncRNA. Here, we describe how to use command line or GUI (CyVerse's Discovery Environment) versions of Evolinc-II to identify lncRNA homologs and prioritize them for functional analysis.
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17
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Chen Y, Li H, Lai L, Huang Y, Shen J. Discovery of new long noncoding RNAs associated with ulcerative colitis with a novel general microarray expression data. Life Sci 2021; 287:120090. [PMID: 34715141 DOI: 10.1016/j.lfs.2021.120090] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/13/2021] [Accepted: 10/21/2021] [Indexed: 01/01/2023]
Abstract
UC is a chronic, nonspecific disease and characterized by a chronic relapsing intestinal inflammation, which puts a person at a higher risk of developing bowel cancer, while the causes of UC are unknown. Recently, with the development of microarray technology, more and more studies are focusing on the potential roles of long noncoding RNAs (lncRNAs) in the pathogenesis of diseases. The purpose of this study is to devise a method, based on cDNA microarray probe genomics data, to computationally determine the potential function of evolutionary conserved lncRNAs in ulcerative colitis (UC). We analysed a total of 12,593 microarray probes present in the Ensembl, OMIM, UniGene, and Gene Ontology databases. We found that lncRNA n385775 was significantly higher (P < 0.001) in patients with active UC, while n336281 (P = 0.017), n341081 (P = 0.041), and n387236 (P = 0.006) were significantly lower. Then, we validated our findings by measuring the expression of lncRNAs in colon tissue samples from patients affected by UC. Moreover, we validated the expression pattern of the lncRNAs in two cell lines, Caco2/bbe and T84, treated with TNF-α. In Caco2/bbe cells, lncRNA n385775 was significantly upregulated after TNF-α treatment (P = 0.002). This study reports a novel method to re- annotate the transcriptome expression profile from existing cDNA microarray data as a potential approach to investigate the function of lncRNAs in UC.
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Affiliation(s)
- Yueying Chen
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 160# Pu Jian Ave, Shanghai 200127, China
| | - HanyangLi Li
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 160# Pu Jian Ave, Shanghai 200127, China
| | - Lijie Lai
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 160# Pu Jian Ave, Shanghai 200127, China
| | - Yong Huang
- INMD Pulmonary, University of Virginia, 81 Hospital Dr CHARLOTTESVILLE, VA 22903, USA.
| | - Jun Shen
- Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Inflammatory Bowel Disease Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 160# Pu Jian Ave, Shanghai 200127, China.
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18
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Transcriptomic Characterization of Cow, Donkey and Goat Milk Extracellular Vesicles Reveals Their Anti-Inflammatory and Immunomodulatory Potential. Int J Mol Sci 2021; 22:ijms222312759. [PMID: 34884564 PMCID: PMC8657891 DOI: 10.3390/ijms222312759] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 02/06/2023] Open
Abstract
Milk extracellular vesicles (mEVs) seem to be one of the main maternal messages delivery systems. Extracellular vesicles (EVs) are micro/nano-sized membrane-bound structures enclosing signaling molecules and thus acting as signal mediators between distant cells and/or tissues, exerting biological effects such as immune modulation and pro-regenerative activity. Milk is also a unique, scalable, and reliable source of EVs. Our aim was to characterize the RNA content of cow, donkey, and goat mEVs through transcriptomic analysis of mRNA and small RNA libraries. Over 10,000 transcripts and 2000 small RNAs were expressed in mEVs of each species. Among the most represented transcripts, 110 mRNAs were common between the species with cow acting as the most divergent. The most represented small RNA class was miRNA in all the species, with 10 shared miRNAs having high impact on the immune regulatory function. Functional analysis for the most abundant mRNAs shows epigenetic functions such as histone modification, telomere maintenance, and chromatin remodeling for cow; lipid catabolism, oxidative stress, and vitamin metabolism for donkey; and terms related to chemokine receptor interaction, leukocytes migration, and transcriptional regulation in response to stress for goat. For miRNA targets, shared terms emerged as the main functions for all the species: immunity modulation, protein synthesis, cellular cycle regulation, transmembrane exchanges, and ion channels. Moreover, donkey and goat showed additional terms related to epigenetic modification and DNA maintenance. Our results showed a potential mEVs immune regulatory purpose through their RNA cargo, although in vivo validation studies are necessary.
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19
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Lagarrigue S, Lorthiois M, Degalez F, Gilot D, Derrien T. LncRNAs in domesticated animals: from dog to livestock species. Mamm Genome 2021; 33:248-270. [PMID: 34773482 PMCID: PMC9114084 DOI: 10.1007/s00335-021-09928-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 10/19/2021] [Indexed: 11/29/2022]
Abstract
Animal genomes are pervasively transcribed into multiple RNA molecules, of which many will not be translated into proteins. One major component of this transcribed non-coding genome is the long non-coding RNAs (lncRNAs), which are defined as transcripts longer than 200 nucleotides with low coding-potential capabilities. Domestic animals constitute a unique resource for studying the genetic and epigenetic basis of phenotypic variations involving protein-coding and non-coding RNAs, such as lncRNAs. This review presents the current knowledge regarding transcriptome-based catalogues of lncRNAs in major domesticated animals (pets and livestock species), covering a broad phylogenetic scale (from dogs to chicken), and in comparison with human and mouse lncRNA catalogues. Furthermore, we describe different methods to extract known or discover novel lncRNAs and explore comparative genomics approaches to strengthen the annotation of lncRNAs. We then detail different strategies contributing to a better understanding of lncRNA functions, from genetic studies such as GWAS to molecular biology experiments and give some case examples in domestic animals. Finally, we discuss the limitations of current lncRNA annotations and suggest research directions to improve them and their functional characterisation.
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Affiliation(s)
| | - Matthias Lorthiois
- Univ Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, 2 av Prof Leon Bernard, F-35000, Rennes, France
| | - Fabien Degalez
- INRAE, INSTITUT AGRO, PEGASE UMR 1348, 35590, Saint-Gilles, France
| | - David Gilot
- CLCC Eugène Marquis, INSERM, Université Rennes, UMR_S 1242, 35000, Rennes, France
| | - Thomas Derrien
- Univ Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, 2 av Prof Leon Bernard, F-35000, Rennes, France.
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20
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Waters E, Pucci P, Hirst M, Chapman S, Wang Y, Crea F, Heath CJ. HAR1: an insight into lncRNA genetic evolution. Epigenomics 2021; 13:1831-1843. [PMID: 34676772 DOI: 10.2217/epi-2021-0069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Long noncoding RNAs (lncRNAs) have a wide range of functions in health and disease, but many remain uncharacterized because of their complex expression patterns and structures. The genetic loci encoding lncRNAs can be subject to accelerated evolutionary changes within the human lineage. HAR1 is a region that has a significantly altered sequence compared to other primates and is a component of two overlapping lncRNA loci, HAR1A and HAR1B. Although the functions of these lncRNAs are unknown, they have been associated with neurological disorders and cancer. Here, we explore the current state of understanding of evolution in human lncRNA genes, using the HAR1 locus as the case study.
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Affiliation(s)
- Ella Waters
- School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, MK7 6AA, UK
| | - Perla Pucci
- School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, MK7 6AA, UK.,Division of Cellular & Molecular Pathology, Department of Pathology, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Mark Hirst
- School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, MK7 6AA, UK
| | - Simon Chapman
- School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, MK7 6AA, UK
| | - Yuzhuo Wang
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada
| | - Francesco Crea
- School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, MK7 6AA, UK
| | - Christopher J Heath
- School of Life, Health & Chemical Sciences, The Open University, Milton Keynes, MK7 6AA, UK
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21
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Xue C, Cai X, Jia J. Long Non-coding RNA Double Homeobox A Pseudogene 8: A Novel Oncogenic Propellant in Human Cancer. Front Cell Dev Biol 2021; 9:709069. [PMID: 34631702 PMCID: PMC8495153 DOI: 10.3389/fcell.2021.709069] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 09/03/2021] [Indexed: 12/12/2022] Open
Abstract
A growing number of studies are reporting important roles played by long non-coding RNAs (lncRNAs) in various pathological and physiological processes. LncRNAs are implicated in numerous genomic regulatory functions at different levels, including regulation of transcription, post-transcriptional processes, genomic stability, and epigenetic genome modifications. Double homeobox A pseudogene 8 (DUXAP8), a novel lncRNA, has been reported to be involved in many cancers, including gastric, colorectal, esophageal, bladder, oral, ovarian, lung, and pancreatic cancers as well as hepatocellular carcinoma (HCC). DUXAP8 plays specific oncogenic roles via numerous malignancies promoting pathways. DUXAP8 is frequently dysregulated in multiple cancers, acting as a sponge to downregulate various tumor-suppressing microRNA activities. In this review, we comprehensively explore DUXAP8 expression and prognosis across cancer types, and systematically summarize current evidence concerning the functions and molecular mechanisms of DUXAP8 in tumorigenesis and progression. We conclude that DUXAP8 is a potential biomarker and therapeutic target for multiple cancers.
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Affiliation(s)
- Chen Xue
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Xiaolu Cai
- Department of Oncological Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Junjun Jia
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
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22
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Jaumotte JD, Franks AL, Bargerstock EM, Kisanga EP, Menden HL, Ghersi A, Omar M, Wang L, Rudine A, Short KL, Silswal N, Cole TJ, Sampath V, Monaghan-Nichols AP, DeFranco DB. Ciclesonide activates glucocorticoid signaling in neonatal rat lung but does not trigger adverse effects in the cortex and cerebellum. Neurobiol Dis 2021; 156:105422. [PMID: 34126164 DOI: 10.1016/j.nbd.2021.105422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 05/28/2021] [Accepted: 06/08/2021] [Indexed: 11/15/2022] Open
Abstract
Synthetic glucocorticoids (sGCs) such as dexamethasone (DEX), while used to mitigate inflammation and disease progression in premature infants with severe bronchopulmonary dysplasia (BPD), are also associated with significant adverse neurologic effects such as reductions in myelination and abnormalities in neuroanatomical development. Ciclesonide (CIC) is a sGC prodrug approved for asthma treatment that exhibits limited systemic side effects. Carboxylesterases enriched in the lower airways convert CIC to the glucocorticoid receptor (GR) agonist des-CIC. We therefore examined whether CIC would likewise activate GR in neonatal lung but have limited adverse extra-pulmonary effects, particularly in the developing brain. Neonatal rats were administered subcutaneous injections of CIC, DEX or vehicle from postnatal days 1-5 (PND1-PND5). Systemic effects linked to DEX exposure, including reduced body and brain weight, were not observed in CIC treated neonates. Furthermore, CIC did not trigger the long-lasting reduction in myelin basic protein expression in the cerebral cortex nor cerebellar size caused by neonatal DEX exposure. Conversely, DEX and CIC were both effective at inducing the expression of select GR target genes in neonatal lung, including those implicated in lung-protective and anti-inflammatory effects. Thus, CIC is a promising, novel candidate drug to treat or prevent BPD in neonates given its activation of GR in neonatal lung and limited adverse neurodevelopmental effects. Furthermore, since sGCs such as DEX administered to pregnant women in pre-term labor can adversely affect fetal brain development, the neurological-sparing properties of CIC, make it an attractive alternative for DEX to treat pregnant women severely ill with respiratory illness, such as with asthma exacerbations or COVID-19 infections.
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Affiliation(s)
- Juliann D Jaumotte
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Pittsburgh Institute of Neurodegenerative Disease (PIND), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Alexis L Franks
- Department of Pediatrics, Division of Child Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Erin M Bargerstock
- Department of Pediatrics, Division of Newborn Medicine, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Edwina Philip Kisanga
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Pittsburgh Institute of Neurodegenerative Disease (PIND), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Heather L Menden
- Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, University of Missouri Kansas City School of Medicine, Kansas City, MO, USA
| | - Alexis Ghersi
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Pittsburgh Institute of Neurodegenerative Disease (PIND), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Mahmoud Omar
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Pittsburgh Institute of Neurodegenerative Disease (PIND), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Liping Wang
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Pittsburgh Institute of Neurodegenerative Disease (PIND), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Anthony Rudine
- Department of Neonatology, St. David's Medical Center, Austin, TX, USA
| | - Kelly L Short
- Department of Biochemistry & Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Neerupama Silswal
- Department of Biomedical Sciences, University of Missouri Kansas City School of Medicine, Kansas City, MO, USA
| | - Timothy J Cole
- Department of Biochemistry & Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria, Australia
| | - Venkatesh Sampath
- Department of Pediatrics, Division of Neonatology, Children's Mercy Kansas City, University of Missouri Kansas City School of Medicine, Kansas City, MO, USA
| | - A Paula Monaghan-Nichols
- Department of Biomedical Sciences, University of Missouri Kansas City School of Medicine, Kansas City, MO, USA
| | - Donald B DeFranco
- Department of Pharmacology and Chemical Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA; Pittsburgh Institute of Neurodegenerative Disease (PIND), University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
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23
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Geisinger A, Rodríguez-Casuriaga R, Benavente R. Transcriptomics of Meiosis in the Male Mouse. Front Cell Dev Biol 2021; 9:626020. [PMID: 33748111 PMCID: PMC7973102 DOI: 10.3389/fcell.2021.626020] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 02/15/2021] [Indexed: 12/18/2022] Open
Abstract
Molecular studies of meiosis in mammals have been long relegated due to some intrinsic obstacles, namely the impossibility to reproduce the process in vitro, and the difficulty to obtain highly pure isolated cells of the different meiotic stages. In the recent years, some technical advances, from the improvement of flow cytometry sorting protocols to single-cell RNAseq, are enabling to profile the transcriptome and its fluctuations along the meiotic process. In this mini-review we will outline the diverse methodological approaches that have been employed, and some of the main findings that have started to arise from these studies. As for practical reasons most studies have been carried out in males, and mostly using mouse as a model, our focus will be on murine male meiosis, although also including specific comments about humans. Particularly, we will center on the controversy about gene expression during early meiotic prophase; the widespread existing gap between transcription and translation in meiotic cells; the expression patterns and potential roles of meiotic long non-coding RNAs; and the visualization of meiotic sex chromosome inactivation from the RNAseq perspective.
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Affiliation(s)
- Adriana Geisinger
- Biochemistry-Molecular Biology, Facultad de Ciencias, Universidad de la República (UdelaR), Montevideo, Uruguay
- Department of Molecular Biology, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Montevideo, Uruguay
| | - Rosana Rodríguez-Casuriaga
- Department of Molecular Biology, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Montevideo, Uruguay
| | - Ricardo Benavente
- Department of Cell and Developmental Biology, Biocenter, University of Würzburg, Würzburg, Germany
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24
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Long non-coding RNA LINC02446 suppresses the proliferation and metastasis of bladder cancer cells by binding with EIF3G and regulating the mTOR signalling pathway. Cancer Gene Ther 2021; 28:1376-1389. [PMID: 33526846 DOI: 10.1038/s41417-020-00285-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 11/22/2020] [Accepted: 12/07/2020] [Indexed: 12/24/2022]
Abstract
Accumulating evidence has been obtained to understand the mechanisms of long non-coding RNAs (lncRNAs) in bladder cancer (BC). However, due to the recurrence and metastasis of BC, searching for lncRNAs that are related to prognosis and metastasis and exploring the pathogenesis of BC might provide new insights for the treatment of BC. In the present study, we used the TCGA and GEO databases and identified LINC02446 as associated with prognosis and differentially expressed in bladder cancer tissues and para-cancer tissues. Then, we found that LINC02446 could affect the proliferation, migration and invasion of BC cells. Additionally, we found that LINC02446 could bind to the EIF3G protein and regulate the protein stability of EIF3G and then inhibit the mTOR signalling pathway. In summary, all these findings show that LINC02446 might serve as a promising therapeutic target for BC intervention.
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25
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Peng T, Kang JL, Xiong XT, Cheng FT, Zhou XJ, Dai WS, Wang M, Li ZY, Su HN, Zhong BL. Integrated Transcriptomics and Metabolomics Analyses Provide Insights Into the Response of Chongyi Wild Mandarin to Candidatus Liberibacter Asiaticus Infection. FRONTIERS IN PLANT SCIENCE 2021; 12:748209. [PMID: 34721476 PMCID: PMC8551615 DOI: 10.3389/fpls.2021.748209] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/06/2021] [Indexed: 05/13/2023]
Abstract
Candidatus Liberibacter asiaticus (CLas) is the causative agent of Huanglongbing (HLB), which has caused great economic losses to the citrus industry. The molecular mechanism of the host response to CLas in wild citrus germplasm has been reported less. Eighteen weeks after inoculation via grafting, all the CLas-inoculated Chongyi wild mandarin (Citrus reticulata) were positive and showed severe anatomical aberrations, suggesting its susceptibility to HLB. Transcriptomics and metabolomics analyses of leaves, barks, and roots from mock-inoculated (control) and CLas-inoculated seedlings were performed. Comparative transcriptomics identified 3,628, 3,770, and 1,716 differentially expressed genes (DEGs) between CLas-infected and healthy tissues in the leaves, barks, and roots, respectively. The CLas-infected tissues had higher transcripts per kilobase per million values and more genes that reached their maximal expression, suggesting that HLB might cause an overall increase in transcript accumulation. However, HLB-triggered transcriptional alteration showed tissue specificity. In the CLas-infected leaves, many DEGs encoding immune receptors were downregulated. In the CLas-infected barks, nearly all the DEGs involved in signaling and plant-pathogen interaction were upregulated. In the CLas-infected roots, DEGs encoding enzymes or transporters involved in carotenoid biosynthesis and nitrogen metabolism were downregulated. Metabolomics identified 71, 62, and 50 differentially accumulated metabolites (DAMs) in the CLas-infected leaves, barks and roots, respectively. By associating DEGs with DAMs, nitrogen metabolism was the only pathway shared by the three infected tissues and was depressed in the CLas-infected roots. In addition, 26 genes were determined as putative markers of CLas infection, and a hypothesized model for the HLB susceptibility mechanism in Chongyi was proposed. Our study may shed light on investigating the molecular mechanism of the host response to CLas infection in wild citrus germplasm.
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Affiliation(s)
- Ting Peng
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
- *Correspondence: Ting Peng orcid.org/0000-0002-3084-6328
| | - Jing-Liang Kang
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
- China-USA Citrus Huanglongbing Joint Laboratory, Ganzhou, China
| | - Xin-Ting Xiong
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
| | - Fang-Ting Cheng
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
| | - Xiao-Juan Zhou
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
| | - Wen-Shan Dai
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
- China-USA Citrus Huanglongbing Joint Laboratory, Ganzhou, China
| | - Min Wang
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
- China-USA Citrus Huanglongbing Joint Laboratory, Ganzhou, China
| | - Zhong-Yang Li
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
| | - Hua-Nan Su
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
| | - Ba-Lian Zhong
- National Navel Orange Engineering Research Center, College of Life Sciences, Gannan Normal University, Ganzhou, China
- Ba-Lian Zhong
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26
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Weitzner EL, Fanter CE, Hindle AG. Pinniped Ontogeny as a Window into the Comparative Physiology and Genomics of Hypoxia Tolerance. Integr Comp Biol 2020; 60:1414-1424. [PMID: 32559283 DOI: 10.1093/icb/icaa083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Diving physiology has received considerable scientific attention as it is a central element of the extreme phenotype of marine mammals. Many scientific discoveries have illuminated physiological mechanisms supporting diving, such as massive, internally bound oxygen stores and dramatic cardiovascular regulation. However, the cellular and molecular mechanisms that support the diving phenotype remain mostly unexplored as logistic and legal restrictions limit the extent of scientific manipulation possible. With next-generation sequencing (NGS) tools becoming more widespread and cost-effective, there are new opportunities to explore the diving phenotype. Genomic investigations come with their own challenges, particularly those including cross-species comparisons. Studying the regulatory pathways that underlie diving mammal ontogeny could provide a window into the comparative physiology of hypoxia tolerance. Specifically, in pinnipeds, which shift from terrestrial pups to elite diving adults, there is potential to characterize the transcriptional, epigenetic, and posttranslational differences between contrasting phenotypes while leveraging a common genome. Here we review the current literature detailing the maturation of the diving phenotype in pinnipeds, which has primarily been explored via biomarkers of metabolic capability including antioxidants, muscle fiber typing, and key aerobic and anaerobic metabolic enzymes. We also discuss how NGS tools have been leveraged to study phenotypic shifts within species through ontogeny, and how this approach may be applied to investigate the biochemical and physiological mechanisms that develop as pups become elite diving adults. We conclude with a specific example of the Antarctic Weddell seal by overlapping protein biomarkers with gene regulatory microRNA datasets.
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Affiliation(s)
- Emma L Weitzner
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Cornelia E Fanter
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
| | - Allyson G Hindle
- School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV 89154, USA
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27
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Poulet C, Njock MS, Moermans C, Louis E, Louis R, Malaise M, Guiot J. Exosomal Long Non-Coding RNAs in Lung Diseases. Int J Mol Sci 2020; 21:E3580. [PMID: 32438606 PMCID: PMC7279016 DOI: 10.3390/ijms21103580] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 05/14/2020] [Accepted: 05/15/2020] [Indexed: 12/13/2022] Open
Abstract
Within the non-coding genome landscape, long non-coding RNAs (lncRNAs) and their secretion within exosomes are a window that could further explain the regulation, the sustaining, and the spread of lung diseases. We present here a compilation of the current knowledge on lncRNAs commonly found in Chronic Obstructive Pulmonary Disease (COPD), asthma, Idiopathic Pulmonary Fibrosis (IPF), or lung cancers. We built interaction networks describing the mechanisms of action for COPD, asthma, and IPF, as well as private networks for H19, MALAT1, MEG3, FENDRR, CDKN2B-AS1, TUG1, HOTAIR, and GAS5 lncRNAs in lung cancers. We identified five signaling pathways targeted by these eight lncRNAs over the lung diseases mentioned above. These lncRNAs were involved in ten treatment resistances in lung cancers, with HOTAIR being itself described in seven resistances. Besides, five of them were previously described as promising biomarkers for the diagnosis and prognosis of asthma, COPD, and lung cancers. Additionally, we describe the exosomal-based studies on H19, MALAT1, HOTAIR, GAS5, UCA1, lnc-MMP2-2, GAPLINC, TBILA, AGAP2-AS1, and SOX2-OT. This review concludes on the need for additional studies describing the lncRNA mechanisms of action and confirming their potential as biomarkers, as well as their involvement in resistance to treatment, especially in non-cancerous lung diseases.
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Affiliation(s)
- Christophe Poulet
- Department of Rheumatology, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (M.-S.N.); (M.M.)
- Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (E.L.); (R.L.)
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
| | - Makon-Sébastien Njock
- Department of Rheumatology, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (M.-S.N.); (M.M.)
- Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (E.L.); (R.L.)
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
- Department of Respiratory Diseases, University Hospital of Liège (CHULiege), 4000 Liège, Belgium
| | - Catherine Moermans
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
- Department of Respiratory Diseases, University Hospital of Liège (CHULiege), 4000 Liège, Belgium
| | - Edouard Louis
- Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (E.L.); (R.L.)
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
- Department of Gastroenterology, University Hospital of Liège (CHULiege), 4000 Liège, Belgium
| | - Renaud Louis
- Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (E.L.); (R.L.)
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
- Department of Respiratory Diseases, University Hospital of Liège (CHULiege), 4000 Liège, Belgium
| | - Michel Malaise
- Department of Rheumatology, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (M.-S.N.); (M.M.)
- Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (E.L.); (R.L.)
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
| | - Julien Guiot
- Fibropôle Research Group, University Hospital of Liège (CHULiege), 4000 Liège, Belgium; (E.L.); (R.L.)
- GIGA-I3 Research Group, GIGA Institute, University of Liège (ULiege) and University Hospital of Liège (CHULiege), 4000 Liège, Belgium;
- Department of Respiratory Diseases, University Hospital of Liège (CHULiege), 4000 Liège, Belgium
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