1
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Jin J, Yang Y, Yang J, Sun Z, Wang D, Qin Y, Ruan C, Li D, Pan Y, Wu J, Zhang C, Hu Y, Lei P. Macrophage metabolic reprogramming-based diabetic infected bone defect/bone reconstruction though multi-function silk hydrogel with exosome release. Int J Biol Macromol 2024; 278:134830. [PMID: 39154694 DOI: 10.1016/j.ijbiomac.2024.134830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2024] [Revised: 07/15/2024] [Accepted: 08/15/2024] [Indexed: 08/20/2024]
Abstract
Diabetic infected bone defects (DIBD) with abnormal immune metabolism are prone to the hard-to-treat bacterial infections and delayed bone regeneration, which present significant challenges in clinic. Control of immune metabolism is believed to be important in regulating fundamental immunological processes. Here, we developed a macrophage metabolic reprogramming hydrogel composed of modified silk fibroin (Silk-6) and poly-l-lysine (ε-PL) and further integrated with M2 Macrophage-derived Exo (M2-Exo), named Silk-6/ε-PL@Exo. This degradable hydrogel showed a broad-spectrum antibacterial performance against both Gram-positive and -negative bacteria. More importantly, the release of M2-Exo from Silk-6/ε-PL@Exo could target M1 macrophages, modulating the activity of the key enzyme hexokinase II (HK2) to control the inflammation-related NF-κB pathway, alleviate lactate accumulation, and inhibit glycolysis to normalize the cycle, thereby promoting M1-to-M2 balance. Using a rat model of DIBD, Silk-6/ε-PL@Exo hydrogel promoted infection control, balanced immune responses and accelerated the bone defect healing. Overall, this study demonstrates that this Silk-6/ε-PL @Exo is a promising filler biomaterial with multi-function to treat DIBD and emphasizes the importance of metabolic reprogramming in bone regeneration.
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Affiliation(s)
- Jiale Jin
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yiqi Yang
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jian Yang
- State Key Laboratory of Chemical Engineering, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China
| | - Zeyu Sun
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dongyu Wang
- Department of Orthopedic Surgery, Xiangya Hospital Central South University, Changsha 410008, China
| | - Yifang Qin
- Department of Endocrinology, The Children's Hospital, School of Medicine, Zhejiang University, Hangzhou 310052, China
| | - Chengxin Ruan
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Dongdong Li
- Department of Orthopedic Surgery, Ningxia Medicial University, Yinchuan 200233, China
| | - Yi Pan
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jiangdong Wu
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Chi Zhang
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
| | - Yihe Hu
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
| | - Pengfei Lei
- Department of Orthopedic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
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2
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Chen C, Han P, Qing Y. Metabolic heterogeneity in tumor microenvironment - A novel landmark for immunotherapy. Autoimmun Rev 2024:103579. [PMID: 39004158 DOI: 10.1016/j.autrev.2024.103579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/10/2024] [Accepted: 07/09/2024] [Indexed: 07/16/2024]
Abstract
The surrounding non-cancer cells and tumor cells that make up the tumor microenvironment (TME) have various metabolic rhythms. TME metabolic heterogeneity is influenced by the intricate network of metabolic control within and between cells. DNA, protein, transport, and microbial levels are important regulators of TME metabolic homeostasis. The effectiveness of immunotherapy is also closely correlated with alterations in TME metabolism. The response of a tumor patient to immunotherapy is influenced by a variety of variables, including intracellular metabolic reprogramming, metabolic interaction between cells, ecological changes within and between tumors, and general dietary preferences. Although immunotherapy and targeted therapy have made great strides, their use in the accurate identification and treatment of tumors still has several limitations. The function of TME metabolic heterogeneity in tumor immunotherapy is summarized in this article. It focuses on how metabolic heterogeneity develops and is regulated as a tumor progresses, the precise molecular mechanisms and potential clinical significance of imbalances in intracellular metabolic homeostasis and intercellular metabolic coupling and interaction, as well as the benefits and drawbacks of targeted metabolism used in conjunction with immunotherapy. This offers insightful knowledge and important implications for individualized tumor patient diagnosis and treatment plans in the future.
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Affiliation(s)
- Chen Chen
- The First Affiliated Hospital of Ningbo University, Ningbo 315211, Zhejiang, China
| | - Peng Han
- Harbin Medical University Cancer Hospital, Harbin 150081, Heilongjiang, China.
| | - Yanping Qing
- The First Affiliated Hospital of Ningbo University, Ningbo 315211, Zhejiang, China.
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3
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Iwata R, Vanderhaeghen P. Metabolic mechanisms of species-specific developmental tempo. Dev Cell 2024; 59:1628-1639. [PMID: 38906137 PMCID: PMC11266843 DOI: 10.1016/j.devcel.2024.05.027] [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: 01/19/2024] [Revised: 04/27/2024] [Accepted: 05/23/2024] [Indexed: 06/23/2024]
Abstract
Development consists of a highly ordered suite of steps and transitions, like choreography. Although these sequences are often evolutionarily conserved, they can display species variations in duration and speed, thereby modifying final organ size or function. Despite their evolutionary significance, the mechanisms underlying species-specific scaling of developmental tempo have remained unclear. Here, we will review recent findings that implicate global cellular mechanisms, particularly intermediary and protein metabolism, as species-specific modifiers of developmental tempo. In various systems, from somitic cell oscillations to neuronal development, metabolic pathways display species differences. These have been linked to mitochondrial metabolism, which can influence the species-specific speed of developmental transitions. Thus, intermediary metabolic pathways regulate developmental tempo together with other global processes, including proteostasis and chromatin remodeling. By linking metabolism and the evolution of developmental trajectories, these findings provide opportunities to decipher how species-specific cellular timing can influence organism fitness.
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Affiliation(s)
- Ryohei Iwata
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium; Department of Neurosciences, Leuven Brain Institute, KUL, 3000 Leuven, Belgium
| | - Pierre Vanderhaeghen
- VIB-KU Leuven Center for Brain & Disease Research, 3000 Leuven, Belgium; Department of Neurosciences, Leuven Brain Institute, KUL, 3000 Leuven, Belgium.
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4
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Fromm B, Sorger T. Rapid adaptation of cellular metabolic rate to the MicroRNA complements of mammals and its relevance to the evolution of endothermy. iScience 2024; 27:108740. [PMID: 38327773 PMCID: PMC10847693 DOI: 10.1016/j.isci.2023.108740] [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: 11/28/2022] [Revised: 09/13/2023] [Accepted: 12/12/2023] [Indexed: 02/09/2024] Open
Abstract
The metabolic efficiency of mammalian cells depends on the attenuation of intrinsic translation noise by microRNAs. We devised a metric of cellular metabolic rate (cMR), rMR/Mexp optimally fit to the number of microRNA families (mirFam), that is robust to variation in mass and sensitive to body temperature (Tb), consistent with the heat dissipation limit theory of Speakman and Król (2010). Using mirFam as predictor, an Ornstein-Uhlenbeck process of stabilizing selection, with an adaptive shift at the divergence of Boreoeutheria, accounted for 95% of the variation in cMR across mammals. Branchwise rates of evolution of cMR, mirFam and Tb concurrently increased 6- to 7-fold at the divergence of Boreoeutheria, independent of mass. Cellular MR variation across placental mammals was also predicted by the sum of model conserved microRNA-target interactions, revealing an unexpected degree of integration of the microRNA-target apparatus into the energy economy of the mammalian cell.
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Affiliation(s)
- Bastian Fromm
- The Arctic University Museum of Norway, UiT- The Arctic University of Norway, Tromsø, Norway
| | - Thomas Sorger
- Department of Biology, Roger Williams University, Bristol, RI 02809, USA
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5
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Qiao S, Bernasek S, Gallagher KD, O'Connell J, Yamada S, Bagheri N, Amaral LAN, Carthew RW. Energy metabolism modulates the regulatory impact of activators on gene expression. Development 2024; 151:dev201986. [PMID: 38063847 PMCID: PMC10820824 DOI: 10.1242/dev.201986] [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: 05/15/2023] [Accepted: 11/29/2023] [Indexed: 12/19/2023]
Abstract
Gene expression is a regulated process fueled by ATP consumption. Therefore, regulation must be coupled to constraints imposed by the level of energy metabolism. Here, we explore this relationship both theoretically and experimentally. A stylized mathematical model predicts that activators of gene expression have variable impact depending on metabolic rate. Activators become less essential when metabolic rate is reduced and more essential when metabolic rate is enhanced. We find that, in the Drosophila eye, expression dynamics of the yan gene are less affected by loss of EGFR-mediated activation when metabolism is reduced, and the opposite effect is seen when metabolism is enhanced. The effects are also seen at the level of pattern regularity in the adult eye, where loss of EGFR-mediated activation is mitigated by lower metabolism. We propose that gene activation is tuned by energy metabolism to allow for faithful expression dynamics in the face of variable metabolic conditions.
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Affiliation(s)
- Sha Qiao
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Sebastian Bernasek
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA
| | - Kevin D. Gallagher
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208, USA
| | - Jessica O'Connell
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Shigehiro Yamada
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
| | - Neda Bagheri
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208, USA
- Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA
| | - Luis A. N. Amaral
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL 60208, USA
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208, USA
- Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL 60208, USA
- Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA
| | - Richard W. Carthew
- Department of Molecular Biosciences, Northwestern University, Evanston, IL 60208, USA
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL 60208, USA
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6
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Sun X, He L, Ayi B, Qiu Y, Xu J, Yu W, Yan T, Ding G, Tang B, Wang G, Zhang D. Comparative transcriptome analysis of eyes reveals the adaptive mechanism of mantis shrimp (oratosquilla oratoria) induced by a dark environment. Genetica 2023; 151:339-348. [PMID: 37831421 DOI: 10.1007/s10709-023-00198-6] [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: 05/27/2023] [Accepted: 10/10/2023] [Indexed: 10/14/2023]
Abstract
The light-dark cycle significantly impacts the growth and development of animals. Mantis shrimps (Oratosquilla oratoria) receive light through their complex photoreceptors. To reveal the adaptive expression mechanism of the mantis shrimp induced in a dark environment, we performed comparative transcriptome analysis with O. oratoria cultured in a light environment (Oo-L) as the control group and O. oratoria cultured in a dark environment (Oo-D) as the experimental group. In the screening of differentially expressed genes (DEGs) between the Oo-L and Oo-D groups, a total of 88 DEGs with |log2FC| > 1 and FDR < 0.05 were identified, of which 78 were upregulated and 10 were downregulated. Then, FBP1 and Pepck were downregulated in the gluconeogenesis pathway, and MKNK2 was upregulated in the MAPK classical pathway, which promoted cell proliferation and differentiation, indicating that the activity of mantis shrimp was slowed and the metabolic rate decreases in the dark environment. As a result, the energy was saved for its growth and development. At the same time, we performed gene set enrichment analysis (GSEA) on all DEGs. In the KEGG pathway analysis, each metabolic pathway in the dark environment showed a slowing trend. GO was enriched in biological processes such as eye development, sensory perception and sensory organ development. The study showed that mantis shrimp slowed down metabolism in the dark, while the role of sensory organs prominent. It provides important information for further understanding the energy metabolism and has great significance to study the physiology of mantis shrimp in dark environment.
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Affiliation(s)
- Xiaoli Sun
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
- College of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Ling He
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Bujin Ayi
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Yuyang Qiu
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Jiayue Xu
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Wei Yu
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Tinghao Yan
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Ge Ding
- Chemical and Biological Engineering College, Yancheng Institute of Technology, Yancheng, 224003, China
| | - Boping Tang
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Gang Wang
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China
| | - Daizhen Zhang
- Jiangsu Key Laboratory for Bioresources of Saline Soils, Jiangsu Provincial Key Laboratory of Coastal Wetland Bioresources and Environmental Protection, Jiangsu Synthetic Innovation Center for Coastal Bio-agriculture, Yancheng Teachers University, Yancheng, 224051, China.
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7
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Qiao S, Bernasek S, Gallagher KD, Yamada S, Bagheri N, Amaral LA, Carthew RW. Energy metabolism modulates the regulatory impact of activators on gene expression. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.24.563842. [PMID: 37961620 PMCID: PMC10634812 DOI: 10.1101/2023.10.24.563842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Gene expression is a regulated process fueled by ATP consumption. Therefore, regulation must be coupled to constraints imposed by the level of energy metabolism. Here, we explore this relationship both theoretically and experimentally. A stylized mathematical model predicts that activators of gene expression have variable impact depending on metabolic rate. Activators become less essential when metabolic rate is reduced and more essential when metabolic rate is enhanced. We find that in the Drosophila eye, expression dynamics of the yan gene are less affected by loss of EGFR-mediated activation when metabolism is reduced, and the opposite effect is seen when metabolism is enhanced. The effects are also seen at the level of pattern regularity in the adult eye, where loss of EGFR-mediated activation is mitigated by lower metabolism. We propose that gene activation is tuned by energy metabolism to allow for faithful expression dynamics in the face of variable metabolic conditions.
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Affiliation(s)
- Sha Qiao
- Department of Molecular Biosciences, Northwestern University, Evanston, IL
| | - Sebastian Bernasek
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL
| | - Kevin D. Gallagher
- Department of Molecular Biosciences, Northwestern University, Evanston, IL
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL
| | - Shigehiro Yamada
- Department of Molecular Biosciences, Northwestern University, Evanston, IL
| | - Neda Bagheri
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL
- Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL
| | - Luis A.N. Amaral
- Department of Chemical and Biological Engineering, Northwestern University, Evanston, IL
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL
- Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL
- Department of Physics and Astronomy, Northwestern University, Evanston, IL
| | - Richard W. Carthew
- Department of Molecular Biosciences, Northwestern University, Evanston, IL
- NSF-Simons Center for Quantitative Biology, Northwestern University, Evanston, IL
- Lead Contact
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8
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Zhou J, Lin L, Cai H, Liu L, Wang H, Zhang J, Xia G, Wang J, Wang F, Wang C. SP1 impacts the primordial to primary follicle transition by regulating cholesterol metabolism in granulosa cells. FASEB J 2023; 37:e22767. [PMID: 36624701 DOI: 10.1096/fj.202201274rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 12/21/2022] [Accepted: 12/27/2022] [Indexed: 01/11/2023]
Abstract
The primordial to primary follicle transition (PPT) in the ovary is critical to maintain sustainable reproductive resources in female mammals. However, it is unclear how granulosa cells (GCs) of the primary follicle participate in regulating PPT. This study focused on exploring the role of transcription factor Sp1 (SP1) in regulating PPT based on the fact that SP1 is pivotal for pregranulosa cell proliferation before primordial follicle formation. The results showed that mice fertility was prolonged when Sp1 was specifically depleted from GCs (GC- Sp1 -/- ). Besides, the PPT in GC- Sp1 -/- mice was reduced, resulting in more primordial follicles being preserved. Single-cell RNA-seq also indicated that the level of cholesterol metabolism was downregulated in GC- Sp1 -/- mice. Additionally, the PPT was promoted by either overexpression of ferredoxin-1 (FDX1), one of the key genes in mediating cholesterol metabolism or supplementing cholesterol for cultured fetal ovaries. Collectively, SP1 in GCs participates in the metabolism of cholesterol partially by regulating the transcription of Fdx1 during the PPT.
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Affiliation(s)
- Jiaqi Zhou
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Lin Lin
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Han Cai
- School of Life Sciences, Xiamen University, Xiamen, China
| | - Longping Liu
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Huarong Wang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Jingwen Zhang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
| | - Guoliang Xia
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China.,Key Laboratory of Ministry of Education for Conservation and Utilization of Special Biological Resources in Western China, School of Life Sciences, Ningxia University, Yinchuan, China
| | - Jianbin Wang
- School of Life Sciences and Beijing Advanced Innovation Center for Structural Biology, Tsinghua University, Beijing, China
| | - Fengchao Wang
- Transgenic Animal Center, National Institute of Biological Sciences, Beijing, China
| | - Chao Wang
- State Key Laboratory of Agrobiotechnology, College of Biological Sciences, China Agricultural University, Beijing, China
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9
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Ageing at Molecular Level: Role of MicroRNAs. Subcell Biochem 2023; 102:195-248. [PMID: 36600135 DOI: 10.1007/978-3-031-21410-3_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
The progression of age triggers a vast number of diseases including cardiovascular, cancer, and neurodegenerative disorders. Regardless of our plentiful knowledge about age-related diseases, little is understood about molecular pathways that associate the ageing process with various diseases. Several cellular events like senescence, telomere dysfunction, alterations in protein processing, and regulation of gene expression are common between ageing and associated diseases. Accumulating information on the role of microRNAs (miRNAs) suggests targeting miRNAs can aid our understanding of the interplay between ageing and associated diseases. In the present chapter, we have attempted to explore the information available on the role of miRNAs in ageing of various tissues/organs and diseases and understand the molecular mechanism of ageing.
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10
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Koike Y, Onodera O. Implications of miRNAs dysregulation in amyotrophic lateral sclerosis: Challenging for clinical applications. Front Neurosci 2023; 17:1131758. [PMID: 36895420 PMCID: PMC9989161 DOI: 10.3389/fnins.2023.1131758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/03/2023] [Indexed: 02/23/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the selective degeneration of upper and lower motor neurons. Currently, there are no effective biomarkers and fundamental therapies for this disease. Dysregulation in RNA metabolism plays a critical role in the pathogenesis of ALS. With the contribution of Next Generation Sequencing, the functions of non-coding RNAs (ncRNAs) have gained increasing interests. Especially, micro RNAs (miRNAs), which are tissue-specific small ncRNAs of about 18-25 nucleotides, have emerged as key regulators of gene expression to target multiple molecules and pathways in the central nervous system (CNS). Despite intensive recent research in this field, the crucial links between ALS pathogenesis and miRNAs remain unclear. Many studies have revealed that ALS-related RNA binding proteins (RBPs), such as TAR DNA-binding protein 43 (TDP-43) and fused in sarcoma/translocated in liposarcoma (FUS), regulate miRNAs processing in both the nucleus and cytoplasm. Of interest, Cu2+/Zn2+ superoxide dismutase (SOD1), a non-RBP associated with familial ALS, shows partially similar properties to these RBPs via the dysregulation of miRNAs in the cellular pathway related to ALS. The identification and validation of miRNAs are important to understand the physiological gene regulation in the CNS, and the pathological implications in ALS, leading to a new avenue for early diagnosis and gene therapies. Here, we offer a recent overview regarding the mechanism underlying the functions of multiple miRNAs across TDP-43, FUS, and SOD1 with the context of cell biology, and challenging for clinical applications in ALS.
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Affiliation(s)
- Yuka Koike
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Osamu Onodera
- Department of Neurology, Brain Research Institute, Niigata University, Niigata, Japan
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11
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Rayon T, van den Ameele J. In preprints: releasing the brakes on neuronal maturation. Development 2022; 149:285949. [PMID: 36515644 DOI: 10.1242/dev.201477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Teresa Rayon
- Epigenetics & Signalling Programmes, The Babraham Institute, Babraham Research Campus, Cambridge CB22 3AT, UK
| | - Jelle van den Ameele
- Department of Clinical Neurosciences and MRC Mitochondrial Biology Unit, University of Cambridge, Cambridge CB2 0XY, UK
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12
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Ren M, Zheng X, Gao H, Jiang A, Yao Y, He W. Nanomedicines Targeting Metabolism in the Tumor Microenvironment. Front Bioeng Biotechnol 2022; 10:943906. [PMID: 35992338 PMCID: PMC9388847 DOI: 10.3389/fbioe.2022.943906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2022] [Accepted: 06/01/2022] [Indexed: 12/02/2022] Open
Abstract
Cancer cells reprogram their metabolism to meet their growing demand for bioenergy and biosynthesis. The metabolic profile of cancer cells usually includes dysregulation of main nutritional metabolic pathways and the production of metabolites, which leads to a tumor microenvironment (TME) having the characteristics of acidity, hypoxic, and/or nutrient depletion. Therapies targeting metabolism have become an active and revolutionary research topic for anti-cancer drug development. The differential metabolic vulnerabilities between tumor cells and other cells within TME provide nanotechnology a therapeutic window of anti-cancer. In this review, we present the metabolic characteristics of intrinsic cancer cells and TME and summarize representative strategies of nanoparticles in metabolism-regulating anti-cancer therapy. Then, we put forward the challenges and opportunities of using nanoparticles in this emerging field.
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Affiliation(s)
- Mengdi Ren
- Department of Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xiaoqiang Zheng
- Institute for Stem Cell and Regenerative Medicine, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Huan Gao
- Department of Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Aimin Jiang
- Department of Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yu Yao
- Department of Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Yu Yao, ; Wangxiao He,
| | - Wangxiao He
- Department of Talent Highland, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Yu Yao, ; Wangxiao He,
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13
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Xavier JB, Monk JM, Poudel S, Norsigian CJ, Sastry AV, Liao C, Bento J, Suchard MA, Arrieta-Ortiz ML, Peterson EJ, Baliga NS, Stoeger T, Ruffin F, Richardson RA, Gao CA, Horvath TD, Haag AM, Wu Q, Savidge T, Yeaman MR. Mathematical models to study the biology of pathogens and the infectious diseases they cause. iScience 2022; 25:104079. [PMID: 35359802 PMCID: PMC8961237 DOI: 10.1016/j.isci.2022.104079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Mathematical models have many applications in infectious diseases: epidemiologists use them to forecast outbreaks and design containment strategies; systems biologists use them to study complex processes sustaining pathogens, from the metabolic networks empowering microbial cells to ecological networks in the microbiome that protects its host. Here, we (1) review important models relevant to infectious diseases, (2) draw parallels among models ranging widely in scale. We end by discussing a minimal set of information for a model to promote its use by others and to enable predictions that help us better fight pathogens and the diseases they cause.
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Affiliation(s)
- Joao B. Xavier
- Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | | | - Saugat Poudel
- Department of Bioengineering, UC San Diego, San Diego, CA, USA
| | | | - Anand V. Sastry
- Department of Bioengineering, UC San Diego, San Diego, CA, USA
| | - Chen Liao
- Program for Computational and Systems Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Jose Bento
- Computer Science Department, Boston College, Chestnut Hill, MA, USA
| | - Marc A. Suchard
- Department of Computational Medicine, David Geffen School of Medicine at UCLA, University of California, Los Angeles, CA, USA
| | | | | | | | - Thomas Stoeger
- Department of Chemical and Biological Engineering; Northwestern University, Evanston, IL 60208, USA
- Successful Clinical Response in Pneumonia Therapy (SCRIPT) Systems Biology Center, Northwestern University, Chicago, IL, USA
| | - Felicia Ruffin
- Division of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Reese A.K. Richardson
- Department of Chemical and Biological Engineering; Northwestern University, Evanston, IL 60208, USA
- Successful Clinical Response in Pneumonia Therapy (SCRIPT) Systems Biology Center, Northwestern University, Chicago, IL, USA
| | - Catherine A. Gao
- Successful Clinical Response in Pneumonia Therapy (SCRIPT) Systems Biology Center, Northwestern University, Chicago, IL, USA
- Division of Pulmonary and Critical Care, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Thomas D. Horvath
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Pathology, Texas Children’s Microbiome Center, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Anthony M. Haag
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Pathology, Texas Children’s Microbiome Center, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Qinglong Wu
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Pathology, Texas Children’s Microbiome Center, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Tor Savidge
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX 77030, USA
- Department of Pathology, Texas Children’s Microbiome Center, Texas Children’s Hospital, Houston, TX 77030, USA
| | - Michael R. Yeaman
- David Geffen School of Medicine at UCLA & Lundquist Institute for Infection & Immunity at Harbor UCLA Medical Center, Los Angeles, CA, USA
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14
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Kiral FR, Dutta SB, Linneweber GA, Hilgert S, Poppa C, Duch C, von Kleist M, Hassan BA, Hiesinger PR. Brain connectivity inversely scales with developmental temperature in Drosophila. Cell Rep 2021; 37:110145. [PMID: 34936868 DOI: 10.1016/j.celrep.2021.110145] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 10/04/2021] [Accepted: 11/29/2021] [Indexed: 11/17/2022] Open
Abstract
Variability of synapse numbers and partners despite identical genes reveals the limits of genetic determinism. Here, we use developmental temperature as a non-genetic perturbation to study variability of brain wiring and behavior in Drosophila. Unexpectedly, slower development at lower temperatures increases axo-dendritic branching, synapse numbers, and non-canonical synaptic partnerships of various neurons, while maintaining robust ratios of canonical synapses. Using R7 photoreceptors as a model, we show that changing the relative availability of synaptic partners using a DIPγ mutant that ablates R7's preferred partner leads to temperature-dependent recruitment of non-canonical partners to reach normal synapse numbers. Hence, R7 synaptic specificity is not absolute but based on the relative availability of postsynaptic partners and presynaptic control of synapse numbers. Behaviorally, movement precision is temperature robust, while movement activity is optimized for the developmentally encountered temperature. These findings suggest genetically encoded relative and scalable synapse formation to develop functional, but not identical, brains and behaviors.
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Affiliation(s)
- Ferdi Ridvan Kiral
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Suchetana B Dutta
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Gerit Arne Linneweber
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Selina Hilgert
- Institute of Developmental Biology and Neurobiology (iDN), Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Caroline Poppa
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany
| | - Carsten Duch
- Institute of Developmental Biology and Neurobiology (iDN), Hanns-Dieter-Hüsch-Weg 15, 55128 Mainz, Germany
| | - Max von Kleist
- MF1 Bioinformatics, Robert Koch-Institute, 13353 Berlin, Germany
| | - Bassem A Hassan
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany; Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Inserm, CNRS, Hôpital Pitié-Salpêtrière, Paris, France
| | - P Robin Hiesinger
- Division of Neurobiology, Institute for Biology, Freie Universität Berlin, 14195 Berlin, Germany.
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15
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Bejarano F, Chang CH, Sun K, Hagen JW, Deng WM, Lai EC. A comprehensive in vivo screen for anti-apoptotic miRNAs indicates broad capacities for oncogenic synergy. Dev Biol 2021; 475:10-20. [PMID: 33662357 PMCID: PMC8107139 DOI: 10.1016/j.ydbio.2021.02.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 02/19/2021] [Accepted: 02/22/2021] [Indexed: 12/19/2022]
Abstract
microRNAs (miRNAs) are ~21-22 nucleotide (nt) RNAs that mediate broad post-transcriptional regulatory networks. However, genetic analyses have shown that the phenotypic consequences of deleting individual miRNAs are generally far less overt compared to their misexpression. This suggests that miRNA deregulation may have broader phenotypic impacts during disease situations. We explored this concept in the Drosophila eye, by screening for miRNAs whose misexpression could modify the activity of pro-apoptotic factors. Via unbiased and comprehensive in vivo phenotypic assays, we identify an unexpectedly large set of miRNA hits that can suppress the action of pro-apoptotic genes hid and grim. We utilize secondary assays to validate that a subset of these miRNAs can inhibit irradiation-induced cell death. Since cancer cells might seek to evade apoptosis pathways, we modeled this situation by asking whether activation of anti-apoptotic miRNAs could serve as "second hits". Indeed, while clones of the lethal giant larvae (lgl) tumor suppressor are normally eliminated during larval development, we find that diverse anti-apoptotic miRNAs mediate the survival of lgl mutant clones in third instar larvae. Notably, while certain anti-apoptotic miRNAs can target apoptotic factors, most of our screen hits lack obvious targets in the core apoptosis machinery. These data highlight how a genetic approach can reveal distinct and powerful activities of miRNAs in vivo, including unexpected functional synergies during disease or cancer-relevant settings.
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Affiliation(s)
- Fernando Bejarano
- Developmental Biology Program, Sloan Kettering Institute, 1275 York Ave, Box 252, New York, NY, 10065, USA
| | - Chih-Hsuan Chang
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Kailiang Sun
- Developmental Biology Program, Sloan Kettering Institute, 1275 York Ave, Box 252, New York, NY, 10065, USA; Weill Graduate School of Medical Sciences, Weill Cornell Medical College, New York, NY, 10065, USA
| | - Joshua W Hagen
- Developmental Biology Program, Sloan Kettering Institute, 1275 York Ave, Box 252, New York, NY, 10065, USA; Tri-Institutional M.D.-Ph.D. Program, New York, NY, 10065, USA
| | - Wu-Min Deng
- Department of Biochemistry and Molecular Biology, Tulane University School of Medicine, New Orleans, LA, 70112, USA
| | - Eric C Lai
- Developmental Biology Program, Sloan Kettering Institute, 1275 York Ave, Box 252, New York, NY, 10065, USA.
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16
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MicroRNA-mediated regulation of glucose and lipid metabolism. Nat Rev Mol Cell Biol 2021; 22:425-438. [PMID: 33772227 PMCID: PMC8853826 DOI: 10.1038/s41580-021-00354-w] [Citation(s) in RCA: 156] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2021] [Indexed: 02/01/2023]
Abstract
In animals, systemic control of metabolism is conducted by metabolic tissues and relies on the regulated circulation of a plethora of molecules, such as hormones and lipoprotein complexes. MicroRNAs (miRNAs) are a family of post-transcriptional gene repressors that are present throughout the animal kingdom and have been widely associated with the regulation of gene expression in various contexts, including virtually all aspects of systemic control of metabolism. Here we focus on glucose and lipid metabolism and review current knowledge of the role of miRNAs in their systemic regulation. We survey miRNA-mediated regulation of healthy metabolism as well as the contribution of miRNAs to metabolic dysfunction in disease, particularly diabetes, obesity and liver disease. Although most miRNAs act on the tissue they are produced in, it is now well established that miRNAs can also circulate in bodily fluids, including their intercellular transport by extracellular vesicles, and we discuss the role of such extracellular miRNAs in systemic metabolic control and as potential biomarkers of metabolic status and metabolic disease.
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17
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Gene Regulation and Cellular Metabolism: An Essential Partnership. Trends Genet 2021; 37:389-400. [PMID: 33092903 PMCID: PMC7969386 DOI: 10.1016/j.tig.2020.09.018] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/18/2020] [Accepted: 09/25/2020] [Indexed: 01/09/2023]
Abstract
It is recognized that cell metabolism is tightly connected to other cellular processes such as regulation of gene expression. Metabolic pathways not only provide the precursor molecules necessary for gene expression, but they also provide ATP, the primary fuel driving gene expression. However, metabolic conditions are highly variable since nutrient uptake is not a uniform process. Thus, cells must continually calibrate gene expression to their changing metabolite and energy budgets. This review discusses recent advances in understanding the molecular and biophysical mechanisms that connect metabolism and gene regulation as cells navigate their growth, proliferation, and differentiation. Particular focus is given to these mechanisms in the context of organismal development.
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18
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Galagali H, Kim JK. The multifaceted roles of microRNAs in differentiation. Curr Opin Cell Biol 2020; 67:118-140. [PMID: 33152557 DOI: 10.1016/j.ceb.2020.08.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Accepted: 08/25/2020] [Indexed: 12/14/2022]
Abstract
MicroRNAs (miRNAs) are major drivers of cell fate specification and differentiation. The post-transcriptional regulation of key molecular factors by microRNAs contributes to the progression of embryonic and postembryonic development in several organisms. Following the discovery of lin-4 and let-7 in Caenorhabditis elegans and bantam microRNAs in Drosophila melanogaster, microRNAs have emerged as orchestrators of cellular differentiation and developmental timing. Spatiotemporal control of microRNAs and associated protein machinery can modulate microRNA activity. Additionally, adaptive modulation of microRNA expression and function in response to changing environmental conditions ensures that robust cell fate specification during development is maintained. Herein, we review the role of microRNAs in the regulation of differentiation during development.
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Affiliation(s)
- Himani Galagali
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - John K Kim
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA.
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19
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Correia RB, Wood IB, Bollen J, Rocha LM. Mining Social Media Data for Biomedical Signals and Health-Related Behavior. Annu Rev Biomed Data Sci 2020; 3:433-458. [PMID: 32550337 PMCID: PMC7299233 DOI: 10.1146/annurev-biodatasci-030320-040844] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Social media data have been increasingly used to study biomedical and health-related phenomena. From cohort-level discussions of a condition to population-level analyses of sentiment, social media have provided scientists with unprecedented amounts of data to study human behavior associated with a variety of health conditions and medical treatments. Here we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health. We pay particular attention to topics where social media data analysis has shown the most progress, including pharmacovigilance and sentiment analysis, especially for mental health. We also discuss a variety of innovative uses of social media data for health-related applications as well as important limitations of social media data access and use.
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Affiliation(s)
- Rion Brattig Correia
- Instituto Gulbenkian de Cincia, 2780-156 Oeiras, Portugal
- Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing & Engineering, Indiana University, Bloomington, Indiana 47408, USA
- CAPES Foundation, Ministry of Education of Brazil, 70040 Braslia DF, Brazil
| | - Ian B Wood
- Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing & Engineering, Indiana University, Bloomington, Indiana 47408, USA
| | - Johan Bollen
- Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing & Engineering, Indiana University, Bloomington, Indiana 47408, USA
| | - Luis M Rocha
- Instituto Gulbenkian de Cincia, 2780-156 Oeiras, Portugal
- Center for Social and Biomedical Complexity, Luddy School of Informatics, Computing & Engineering, Indiana University, Bloomington, Indiana 47408, USA
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20
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Soto X, Biga V, Kursawe J, Lea R, Doostdar P, Thomas R, Papalopulu N. Dynamic properties of noise and Her6 levels are optimized by miR-9, allowing the decoding of the Her6 oscillator. EMBO J 2020; 39:e103558. [PMID: 32395844 PMCID: PMC7298297 DOI: 10.15252/embj.2019103558] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 03/25/2020] [Accepted: 04/03/2020] [Indexed: 01/08/2023] Open
Abstract
Noise is prevalent in biology and has been widely quantified using snapshot measurements. This static view obscures our understanding of dynamic noise properties and how these affect gene expression and cell state transitions. Using a CRISPR/Cas9 Zebrafish her6::Venus reporter combined with mathematical and in vivo experimentation, we explore how noise affects the protein dynamics of Her6, a basic helix-loop-helix transcriptional repressor. During neurogenesis, Her6 expression transitions from fluctuating to oscillatory at single-cell level. We identify that absence of miR-9 input generates high-frequency noise in Her6 traces, inhibits the transition to oscillatory protein expression and prevents the downregulation of Her6. Together, these impair the upregulation of downstream targets and cells accumulate in a normally transitory state where progenitor and early differentiation markers are co-expressed. Computational modelling and double smFISH of her6 and the early neurogenesis marker, elavl3, suggest that the change in Her6 dynamics precedes the downregulation in Her6 levels. This sheds light onto the order of events at the moment of cell state transition and how this is influenced by the dynamic properties of noise. Our results suggest that Her/Hes oscillations, facilitated by dynamic noise optimization by miR-9, endow progenitor cells with the ability to make a cell state transition.
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Affiliation(s)
- Ximena Soto
- Faculty of Biology Medicine and HealthSchool of Medical SciencesThe University of ManchesterManchesterUK
| | - Veronica Biga
- Faculty of Biology Medicine and HealthSchool of Medical SciencesThe University of ManchesterManchesterUK
| | - Jochen Kursawe
- School of Mathematics and StatisticsUniversity of St AndrewsSt AndrewsUK
| | - Robert Lea
- Faculty of Biology Medicine and HealthSchool of Medical SciencesThe University of ManchesterManchesterUK
| | - Parnian Doostdar
- Faculty of Biology Medicine and HealthSchool of Medical SciencesThe University of ManchesterManchesterUK
| | - Riba Thomas
- Faculty of Biology Medicine and HealthSchool of Medical SciencesThe University of ManchesterManchesterUK
| | - Nancy Papalopulu
- Faculty of Biology Medicine and HealthSchool of Medical SciencesThe University of ManchesterManchesterUK
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21
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Dexheimer PJ, Cochella L. MicroRNAs: From Mechanism to Organism. Front Cell Dev Biol 2020; 8:409. [PMID: 32582699 PMCID: PMC7283388 DOI: 10.3389/fcell.2020.00409] [Citation(s) in RCA: 197] [Impact Index Per Article: 49.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 05/04/2020] [Indexed: 12/12/2022] Open
Abstract
MicroRNAs (miRNAs) are short, regulatory RNAs that act as post-transcriptional repressors of gene expression in diverse biological contexts. The emergence of small RNA-mediated gene silencing preceded the onset of multicellularity and was followed by a drastic expansion of the miRNA repertoire in conjunction with the evolution of complexity in the plant and animal kingdoms. Along this process, miRNAs became an essential feature of animal development, as no higher metazoan lineage tolerated loss of miRNAs or their associated protein machinery. In fact, ablation of the miRNA biogenesis machinery or the effector silencing factors results in severe embryogenesis defects in every animal studied. In this review, we summarize recent mechanistic insight into miRNA biogenesis and function, while emphasizing features that have enabled multicellular organisms to harness the potential of this broad class of repressors. We first discuss how different mechanisms of regulation of miRNA biogenesis are used, not only to generate spatio-temporal specificity of miRNA production within an animal, but also to achieve the necessary levels and dynamics of expression. We then explore how evolution of the mechanism for small RNA-mediated repression resulted in a diversity of silencing complexes that cause different molecular effects on their targets. Multicellular organisms have taken advantage of this variability in the outcome of miRNA-mediated repression, with differential use in particular cell types or even distinct subcellular compartments. Finally, we present an overview of how the animal miRNA repertoire has evolved and diversified, emphasizing the emergence of miRNA families and the biological implications of miRNA sequence diversification. Overall, focusing on selected animal models and through the lens of evolution, we highlight canonical mechanisms in miRNA biology and their variations, providing updated insight that will ultimately help us understand the contribution of miRNAs to the development and physiology of multicellular organisms.
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Affiliation(s)
| | - Luisa Cochella
- Research Institute of Molecular Pathology (IMP), Vienna BioCenter (VBC), Vienna, Austria
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22
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Abstract
In this issue of Cell, Cassidy et al. (2019) show that, in Drosophila melanogaster, developmental abnormalities resulting from loss of repressors such as microRNAs can be suppressed by slow metabolism. They additionally provide insight into the underlying mechanism that connects metabolic state with developmental outcomes.
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Affiliation(s)
- Sujatha Jagannathan
- RNA Bioscience Initiative and Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Srinivas Ramachandran
- RNA Bioscience Initiative and Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Olivia S Rissland
- RNA Bioscience Initiative and Department of Biochemistry & Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA.
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23
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Zhu J, Lou Y, Shi QS, Zhang S, Zhou WT, Yang J, Zhang C, Yao XZ, Xu T, Liu JL, Zhou L, Hou JQ, Wang JQ, Wang S, Huang XH, Yang ZN. Slowing development restores the fertility of thermo-sensitive male-sterile plant lines. NATURE PLANTS 2020; 6:360-367. [PMID: 32231254 DOI: 10.1038/s41477-020-0622-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 02/19/2020] [Indexed: 05/27/2023]
Abstract
Temperature-sensitive genic male sterility (TGMS) lines are widely used in the breeding of hybrid crops1,2, but by what means temperature as a general environmental factor reverses the fertility of different TGMS lines remains unknown. Here, we identified an Arabidopsis TGMS line named reversible male sterile (rvms) that is fertile at low temperature (17 °C) and encodes a GDSL lipase. Cytological observations and statistical analysis showed that low temperature slows pollen development. Further screening of restorers of rvms, as well as crossing with a slow-growth line at normal temperature (24 °C), demonstrate that slowing of development overcomes the defects of rvms microspores and allows them to develop into functional pollen. Several other Arabidopsis TGMS lines were identified, and their fertility was also restored by slowing of development. Given that male reproductive development is conserved3, we propose that slowing of development is a general mechanism applicable to the sterility-fertility conversion of TGMS lines from different plant species.
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Affiliation(s)
- Jun Zhu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Yue Lou
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Qiang-Sheng Shi
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Sen Zhang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Wen-Tao Zhou
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jun Yang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Cheng Zhang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Xiao-Zhen Yao
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Te Xu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jia-Li Liu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Lei Zhou
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jian-Qiao Hou
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Jia-Qi Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Shui Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Xue-Hui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China
| | - Zhong-Nan Yang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, China.
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24
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Abstract
Understanding how mammalian organisms achieve the full diversity of cell types in the adult organism is a central goal of developmental cell biology. Recent work has shown that some embryonic precursor cells can self-organize into developmental structures but the mechanisms of gene regulation that contribute to this process remain unknown. Here we show embryonic stem cells self-organize into distinct gene expression states that resemble developmental gene programs. We find that microRNAs, small noncoding regulators of gene expression, play a critical role in organizing fluctuations across gene networks to help achieve this organization into distinct expression states. Pluripotent embryonic stem cells (ESCs) contain the potential to form a diverse array of cells with distinct gene expression states, namely the cells of the adult vertebrate. Classically, diversity has been attributed to cells sensing their position with respect to external morphogen gradients. However, an alternative is that diversity arises in part from cooption of fluctuations in the gene regulatory network. Here we find ESCs exhibit intrinsic heterogeneity in the absence of external gradients by forming interconverting cell states. States vary in developmental gene expression programs and display distinct activity of microRNAs (miRNAs). Notably, miRNAs act on neighborhoods of pluripotency genes to increase variation of target genes and cell states. Loss of miRNAs that vary across states reduces target variation and delays state transitions, suggesting variable miRNAs organize and propagate variation to promote state transitions. Together these findings provide insight into how a gene regulatory network can coopt variation intrinsic to cell systems to form robust gene expression states. Interactions between intrinsic heterogeneity and environmental signals may help achieve developmental outcomes.
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