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Naidoo D, Brennan R, de Lencastre A. Conservation and Targets of miR-71: A Systematic Review and Meta-Analysis. Noncoding RNA 2023; 9:41. [PMID: 37624033 PMCID: PMC10458147 DOI: 10.3390/ncrna9040041] [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: 06/26/2023] [Revised: 07/17/2023] [Accepted: 07/24/2023] [Indexed: 08/26/2023] Open
Abstract
MicroRNAs (miRNAs) perform a pivotal role in the regulation of gene expression across the animal kingdom. As negative regulators of gene expression, miRNAs have been shown to function in the genetic pathways that control many biological processes and have been implicated in roles in human disease. First identified as an aging-associated gene in C. elegans, miR-71, a miRNA, has a demonstrated capability of regulating processes in numerous different invertebrates, including platyhelminths, mollusks, and insects. In these organisms, miR-71 has been shown to affect a diverse range of pathways, including aging, development, and immune response. However, the exact mechanisms by which miR-71 regulates these pathways are not completely understood. In this paper, we review the identified functions of miR-71 across multiple organisms, including identified gene targets, pathways, and the conditions which affect regulatory action. Additionally, the degree of conservation of miR-71 in the evaluated organisms and the conservation of their predicted binding sites in target 3' UTRs was measured. These studies may provide an insight on the patterns, interactions, and conditions in which miR-71 is able to exert genotypic and phenotypic influence.
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Affiliation(s)
- Devin Naidoo
- Frank H. Netter MD School of Medicine, Quinnipiac University, Hamden, CT 06518, USA
| | - Ryan Brennan
- Frank H. Netter MD School of Medicine, Quinnipiac University, Hamden, CT 06518, USA
| | - Alexandre de Lencastre
- Department of Molecular and Cellular Biology, Quinnipiac University, Hamden, CT 06518, USA
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Cui G, Dong K, Zhou JY, Li S, Wu Y, Han Q, Yao B, Shen Q, Zhao YL, Yang Y, Cai J, Zhang S, Yang YG. Spatiotemporal transcriptomic atlas reveals the dynamic characteristics and key regulators of planarian regeneration. Nat Commun 2023; 14:3205. [PMID: 37268637 DOI: 10.1038/s41467-023-39016-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 05/25/2023] [Indexed: 06/04/2023] Open
Abstract
Whole-body regeneration of planarians is a natural wonder but how it occurs remains elusive. It requires coordinated responses from each cell in the remaining tissue with spatial awareness to regenerate new cells and missing body parts. While previous studies identified new genes essential to regeneration, a more efficient screening approach that can identify regeneration-associated genes in the spatial context is needed. Here, we present a comprehensive three-dimensional spatiotemporal transcriptomic landscape of planarian regeneration. We describe a pluripotent neoblast subtype, and show that depletion of its marker gene makes planarians more susceptible to sub-lethal radiation. Furthermore, we identified spatial gene expression modules essential for tissue development. Functional analysis of hub genes in spatial modules, such as plk1, shows their important roles in regeneration. Our three-dimensional transcriptomic atlas provides a powerful tool for deciphering regeneration and identifying homeostasis-related genes, and provides a publicly available online spatiotemporal analysis resource for planarian regeneration research.
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Affiliation(s)
- Guanshen Cui
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
| | - Kangning Dong
- NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
- School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jia-Yi Zhou
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
| | - Shang Li
- NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
- School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ying Wu
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
| | - Qinghua Han
- NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
- School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bofei Yao
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
| | - Qunlun Shen
- NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China
- School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yong-Liang Zhao
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ying Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China
- China National Center for Bioinformation, Beijing, 100101, China
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 101408, China
- Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jun Cai
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, China.
| | - Shihua Zhang
- NCMIS, CEMS, RCSDS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, 100190, China.
- School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- Key Laboratory of Systems Health Science of Zhejiang Province, School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China.
| | - Yun-Gui Yang
- CAS Key Laboratory of Genomic and Precision Medicine, Collaborative Innovation Center of Genetics and Development, College of Future Technology, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.
- China National Center for Bioinformation, Beijing, 100101, China.
- Sino-Danish College, University of Chinese Academy of Sciences, Beijing, 101408, China.
- Institute of Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
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Chen X, Liu Y, Zhu X, Lv Q. Comparative Proteome Analysis Indicates The Divergence between The Head and Tail Regeneration in Planarian. CELL JOURNAL 2021; 23:640-649. [PMID: 34939757 PMCID: PMC8665983 DOI: 10.22074/cellj.2021.7689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Accepted: 12/06/2020] [Indexed: 11/04/2022]
Abstract
OBJECTIVE Even a small fragment from the body of planarian can regenerate an entire animal, implying that the different fragments from this flatworm eventually reach the same solution. In this study, our aim was to reveal the differences and similarities in mechanisms between different regenerating fragments from this worm. MATERIALS AND METHODS In this experimental study, we profiled the dynamic proteome of regenerating head and tail to reveal the differences and similarities between different regenerating fragments using 2-DE combined with MALDITOF/ TOF MS. RESULTS Proteomic profiles of head and tail regeneration identified a total of 516 differential expressed proteins (DEPs) and showed a great difference in quantity and fold changes of proteome profiles between the two scenarios. Briefly, out of the 516 DEPs, 314 were identified to be specific for anterior regeneration, while 165 were specific for posterior regeneration. Bioinformatics analysis showed a wide discrepancy in biological activities between two regenerative processes; especially, differentiation and development and signal transduction in head regeneration were much more complex than that in tail regeneration. Protein functional analysis combined with protein-protein interaction (PPI) analysis showed a significant contribution of both Wnt and BMP signaling pathways to head regeneration not but tail regeneration. Additionally, several novel proteins showed completely opposite expression between head and tail regeneration. CONCLUSION Proteomic profiles of head and tail regeneration identified a total of 516 differential expressed proteins (DEPs) and showed a great difference in quantity and fold changes of proteome profiles between the two scenarios. Briefly, out of the 516 DEPs, 314 were identified to be specific for anterior regeneration, while 165 were specific for posterior regeneration. Bioinformatics analysis showed a wide discrepancy in biological activities between two regenerative processes; especially, differentiation and development and signal transduction in head regeneration were much more complex than that in tail regeneration. Protein functional analysis combined with protein-protein interaction (PPI) analysis showed a significant contribution of both Wnt and BMP signaling pathways to head regeneration not but tail regeneration. Additionally, several novel proteins showed completely opposite expression between head and tail regeneration.
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Affiliation(s)
- Xiaoguang Chen
- Animal Science and Technology SchoolHenan University of Science and TechnologyLuoyangChina
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Liu H, Song Q, Zhen H, Deng H, Zhao B, Cao Z. miR-8b is involved in brain and eye regeneration of Dugesia japonica in head regeneration. Biol Open 2021; 10:269275. [PMID: 34184734 PMCID: PMC8272931 DOI: 10.1242/bio.058538] [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: 01/29/2021] [Accepted: 05/20/2021] [Indexed: 11/23/2022] Open
Abstract
MicroRNAs (miRNAs) are a class of evolutionarily conserved small non-coding RNAs that regulate gene expression at the translation level in cell growth, proliferation and differentiation. In addition, some types of miRNAs have been proven to be key modulators of both CNS development and plasticity, such as let-7, miR-9 and miR-124. In this research, we found miR-8b acts as an important regulator involved in brain and eyespot regeneration in Dugesia japonica. miR-8b was highly conserved among species and was abundantly expressed in central nervous system. Here, we detected the expression dynamics of miR-8b by qPCR during the head regeneration of D. japonica. Knockdown miR-8b by anti-MIRs method caused severe defects of eyes and CNS. Our study revealed the evolutionary conserved role of miR-8b in the planarian regeneration process, and further provided more research ideas and available information for planarian miRNAs. Summary: Most miRNAs in planarians are homologous to humans and other mammals, and may also play a similar regulatory role. Knockdown miR-8b planarian miR-8b induces brain and eyespot defects during head regeneration.
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Affiliation(s)
- Hongjin Liu
- School of Life Sciences, Shandong University of Technology, Zibo 255049, China
| | - Qian Song
- Laboratory of Developmental and Evolutionary Biology, Shandong University of Technology, Zibo 255049, China
| | - Hui Zhen
- Laboratory of Developmental and Evolutionary Biology, Shandong University of Technology, Zibo 255049, China
| | - Hongkuan Deng
- School of Life Sciences, Shandong University of Technology, Zibo 255049, China
| | - Bosheng Zhao
- School of Life Sciences, Shandong University of Technology, Zibo 255049, China
| | - Zhonghong Cao
- School of Life Sciences, Shandong University of Technology, Zibo 255049, China
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Khnouf R, Shore S, Han CM, Henderson JM, Munro SA, McCaffrey AP, Shintaku H, Santiago JG. Efficient Production of On-Target Reads for Small RNA Sequencing of Single Cells Using Modified Adapters. Anal Chem 2018; 90:12609-12615. [PMID: 30260208 PMCID: PMC6233959 DOI: 10.1021/acs.analchem.8b02773] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
Although
single-cell mRNA sequencing has been a powerful tool to explore cellular
heterogeneity, the sequencing of small RNA at the single-cell level
(sc-sRNA-seq) remains a challenge, as these have no consensus sequence,
are relatively low abundant, and are difficult to amplify in a bias-free
fashion. We present two methods of single-cell-lysis that enable sc-sRNA-seq.
The first method is a chemical-based technique with overnight freezing
while the second method leverages on-chip electrical lysis of plasma
membrane and physical extraction and separation of cytoplasmic RNA
via isotachophoresis. We coupled these two methods with off-chip small
RNA library preparation using CleanTag modified adapters to prevent
the formation of adapter dimers. We then demonstrated sc-sRNA-seq
with single K562 human leukemic cells. Our approaches offer a relatively
short hands-on time of 6 h and efficient generation of on-target reads.
The sc-sRNA-seq with our approaches showed detection of miRNA with
various abundances ranging from 16 000 copies/cell to about
10 copies/cell. We anticipate this approach will create a new opportunity
to explore cellular heterogeneity through small RNA expression.
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Affiliation(s)
- Ruba Khnouf
- Department of Mechanical Engineering , Stanford University , Stanford , California 94305 , United States.,Department of Biomedical Engineering , Jordan University of Science and Technology , Irbid 22110 , Jordan
| | - Sabrina Shore
- TriLink Biotechnologies LLC , San Diego , California 92121 , United States
| | - Crystal M Han
- Joint Initiative for Metrology in Biology , National Institute of Standards and Technology , Stanford , California 94305 , United States.,Department of Mechanical Engineering , San Jose State University , San Jose , California 95192 , United States
| | | | - Sarah A Munro
- Joint Initiative for Metrology in Biology , National Institute of Standards and Technology , Stanford , California 94305 , United States.,Minnesota Supercomputing Institute , University of Minnesota , Minneapolis , Minnesota 55455 , United States
| | - Anton P McCaffrey
- TriLink Biotechnologies LLC , San Diego , California 92121 , United States
| | - Hirofumi Shintaku
- RIKEN Cluster for Pioneering Research , Wako , Saitama 351-0198 , Japan
| | - Juan G Santiago
- Department of Mechanical Engineering , Stanford University , Stanford , California 94305 , United States
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