1
|
Melo-Silva CR, Knudson CJ, Tang L, Kafle S, Springer LE, Choi J, Snyder CM, Wang Y, Kim SV, Sigal LJ. Multiple and Consecutive Genome Editing Using i-GONAD and Breeding Enrichment Facilitates the Production of Genetically Modified Mice. Cells 2023; 12:1343. [PMID: 37174743 PMCID: PMC10177031 DOI: 10.3390/cells12091343] [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: 04/04/2023] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Genetically modified (GM) mice are essential tools in biomedical research. Traditional methods for generating GM mice are expensive and require specialized personnel and equipment. The use of clustered regularly interspaced short palindromic repeats (CRISPR) coupled with improved-Genome editing via Oviductal Nucleic Acids Delivery (i-GONAD) has highly increased the feasibility of producing GM mice in research laboratories. However, genetic modification in inbred mouse strains of interest such as C57BL/6 (B6) is still challenging because of their low fertility and embryo fragility. We have successfully generated multiple novel GM mouse strains in the B6 background while attempting to optimize i-GONAD. We found that i-GONAD reduced the litter size in superovulated pregnant females but did not impact pregnancy rates. Natural mating or low-hormone dose did not increase the low fertility rate observed in superovulated B6 females. However, diet enrichment had a positive effect on pregnancy success. We also optimized breeding conditions to increase the survival of small litters by co-housing i-GONAD-treated pregnant B6 females with synchronized pregnant FVB/NJ companion mothers. Thus, GM mice generation was increased by an enriched diet and shared pup rearing with highly fertile females such as FVB/NJ. In the present study, we generated 16 GM mice using a CRISPR/Cas system to target individual and multiple loci simultaneously or consecutively. We also compared homology-directed repair efficiency using different methods for LoxP insertion for conditional knockout mouse production. We found that a two-step serial LoxP insertion, in which each LoxP sequence was inserted individually in different i-GONAD procedures, was a low-risk high-efficiency method for generating floxed mice.
Collapse
Affiliation(s)
- Carolina R. Melo-Silva
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Cory J. Knudson
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Lingjuan Tang
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Samita Kafle
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Lauren E. Springer
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Jihae Choi
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Christopher M. Snyder
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Yajing Wang
- Department of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Sangwon V. Kim
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Luis J. Sigal
- Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, PA 19107, USA
| |
Collapse
|
2
|
Kaplow IM, Lawler AJ, Schäffer DE, Srinivasan C, Sestili HH, Wirthlin ME, Phan BN, Prasad K, Brown AR, Zhang X, Foley K, Genereux DP, Karlsson EK, Lindblad-Toh K, Meyer WK, Pfenning AR, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X. Relating enhancer genetic variation across mammals to complex phenotypes using machine learning. Science 2023; 380:eabm7993. [PMID: 37104615 DOI: 10.1126/science.abm7993] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Protein-coding differences between species often fail to explain phenotypic diversity, suggesting the involvement of genomic elements that regulate gene expression such as enhancers. Identifying associations between enhancers and phenotypes is challenging because enhancer activity can be tissue-dependent and functionally conserved despite low sequence conservation. We developed the Tissue-Aware Conservation Inference Toolkit (TACIT) to associate candidate enhancers with species' phenotypes using predictions from machine learning models trained on specific tissues. Applying TACIT to associate motor cortex and parvalbumin-positive interneuron enhancers with neurological phenotypes revealed dozens of enhancer-phenotype associations, including brain size-associated enhancers that interact with genes implicated in microcephaly or macrocephaly. TACIT provides a foundation for identifying enhancers associated with the evolution of any convergently evolved phenotype in any large group of species with aligned genomes.
Collapse
Affiliation(s)
- Irene M Kaplow
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Alyssa J Lawler
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Daniel E Schäffer
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Chaitanya Srinivasan
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Heather H Sestili
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Morgan E Wirthlin
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
| | - BaDoi N Phan
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
- Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kavya Prasad
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Ashley R Brown
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Xiaomeng Zhang
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Kathleen Foley
- Department of Biological Sciences, Lehigh University, Bethlehem, PA, USA
| | - Diane P Genereux
- Broad Institute, Cambridge, MA, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Elinor K Karlsson
- Broad Institute, Cambridge, MA, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Kerstin Lindblad-Toh
- Broad Institute, Cambridge, MA, USA
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Wynn K Meyer
- Department of Biological Sciences, Lehigh University, Bethlehem, PA, USA
| | - Andreas R Pfenning
- Department of Computational Biology, Carnegie Mellon University, Pittsburgh, PA, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, USA
- Department of Biology, Carnegie Mellon University, Pittsburgh, PA, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Yang S, Zhang X, Li X, Yin X, Teng L, Ji G, Li H. Evolutionary and Expression Analysis of MOV10 and MOV10L1 Reveals Their Origin, Duplication and Divergence. Int J Mol Sci 2022; 23:ijms23147523. [PMID: 35886872 PMCID: PMC9319325 DOI: 10.3390/ijms23147523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/30/2022] [Accepted: 07/05/2022] [Indexed: 12/04/2022] Open
Abstract
MOV10 and MOV10L1 both encode ATP-dependent RNA helicases. In mammals, MOV10 and MOV10L1 participate in various kinds of biological contexts, such as defense of RNA virus invasion, neuron system, germ cell and early development. However, mov10 and mov10l1 in zebrafish are obscure and the evolutionary relationships of mov10 among different species remain unclear. In this study, we found MOV10 and MOV10L1 had some variations despite they possessed the conserved feature of RNA helicase, however, they may originate from a single ancestor although they shared limited homology. A single MOV10L1 gene existed among all species, while MOV10 gene experienced lineage-specific intra-chromosomal gene duplication in several species. Interestingly, the mov10 gene expanded to three in zebrafish, which originating from a duplication by whole genome specific duplication of teleost lineage followed by a specific intra-chromosome tandem duplication. The mov10 and mov10l1 showed distinct expression profiles in early stages, however, in adult zebrafish, three mov10 genes exhibited similar diverse expression patterns in almost all tissues. We also demonstrated mov10 genes were upregulated upon virus challenge, highlighting they had redundant conserved roles in virus infection. These results provide valuable data for the evolution of MOV10 and MOV10L1 and they are important to the further functional exploration.
Collapse
Affiliation(s)
- Shuaiqi Yang
- College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China; (S.Y.); (X.Z.); (X.L.); (X.Y.)
| | - Xiangmin Zhang
- College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China; (S.Y.); (X.Z.); (X.L.); (X.Y.)
| | - Xianpeng Li
- College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China; (S.Y.); (X.Z.); (X.L.); (X.Y.)
| | - Xiu Yin
- College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China; (S.Y.); (X.Z.); (X.L.); (X.Y.)
| | - Lei Teng
- School of Basic Medicine, Qingdao University, Qingdao 266071, China;
| | - Guangdong Ji
- College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China; (S.Y.); (X.Z.); (X.L.); (X.Y.)
- Correspondence: (G.J.); (H.L.); Tel.: +86-0532-82032092 (H.L.)
| | - Hongyan Li
- College of Marine Life Sciences, and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China; (S.Y.); (X.Z.); (X.L.); (X.Y.)
- Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266003, China
- Correspondence: (G.J.); (H.L.); Tel.: +86-0532-82032092 (H.L.)
| |
Collapse
|
4
|
Lannom MC, Nielsen J, Nawaz A, Shilikbay T, Ceman S. FMRP and MOV10 regulate Dicer1 expression and dendrite development. PLoS One 2021; 16:e0260005. [PMID: 34847178 PMCID: PMC8631628 DOI: 10.1371/journal.pone.0260005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 11/01/2021] [Indexed: 11/18/2022] Open
Abstract
Fragile X syndrome results from the loss of expression of the Fragile X Mental Retardation Protein (FMRP). FMRP and RNA helicase Moloney Leukemia virus 10 (MOV10) are important Argonaute (AGO) cofactors for miRNA-mediated translation regulation. We previously showed that MOV10 functionally associates with FMRP. Here we quantify the effect of reduced MOV10 and FMRP expression on dendritic morphology. Murine neurons with reduced MOV10 and FMRP phenocopied Dicer1 KO neurons which exhibit impaired dendritic maturation Hong J (2013), leading us to hypothesize that MOV10 and FMRP regulate DICER expression. In cells and tissues expressing reduced MOV10 or no FMRP, DICER expression was significantly reduced. Moreover, the Dicer1 mRNA is a Cross-Linking Immunoprecipitation (CLIP) target of FMRP Darnell JC (2011), MOV10 Skariah G (2017) and AGO2 Kenny PJ (2020). MOV10 and FMRP modulate expression of DICER1 mRNA through its 3’untranslated region (UTR) and introduction of a DICER1 transgene restores normal neurite outgrowth in the Mov10 KO neuroblastoma Neuro2A cell line and branching in MOV10 heterozygote neurons. Moreover, we observe a global reduction in AGO2-associated microRNAs isolated from Fmr1 KO brain. We conclude that the MOV10-FMRP-AGO2 complex regulates DICER expression, revealing a novel mechanism for regulation of miRNA production required for normal neuronal morphology.
Collapse
Affiliation(s)
- Monica C. Lannom
- Cell and Developmental Biology, University of Illinois, Urbana, Illinois, United States of America
| | - Joshua Nielsen
- Integrative Biology, University of Illinois, Urbana, Illinois, United States of America
| | - Aatiqa Nawaz
- Cell and Developmental Biology, University of Illinois, Urbana, Illinois, United States of America
| | - Temirlan Shilikbay
- Cell and Developmental Biology, University of Illinois, Urbana, Illinois, United States of America
| | - Stephanie Ceman
- Cell and Developmental Biology, University of Illinois, Urbana, Illinois, United States of America
- Neuroscience Program, University of Illinois, Urbana, Illinois, United States of America
- * E-mail:
| |
Collapse
|
5
|
Nawaz A, Shilikbay T, Skariah G, Ceman S. Unwinding the roles of RNA helicase MOV10. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 13:e1682. [PMID: 34327836 PMCID: PMC8799784 DOI: 10.1002/wrna.1682] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/15/2021] [Accepted: 06/23/2021] [Indexed: 12/12/2022]
Abstract
MOV10 is an RNA helicase that associates with the RNA‐induced silencing complex component Argonaute (AGO), likely resolving RNA secondary structures. MOV10 also binds the Fragile X mental retardation protein to block AGO2 binding at some sites and associates with UPF1, a principal component of the nonsense‐mediated RNA decay pathway. MOV10 is widely expressed and has a key role in the cellular response to viral infection and in suppressing retrotransposition. Posttranslational modifications of MOV10 include ubiquitination, which leads to stimulation‐dependent degradation, and phosphorylation, which has an unknown function. MOV10 localizes to the nucleus and/or cytoplasm in a cell type‐specific and developmental stage‐specific manner. Knockout of Mov10 leads to embryonic lethality, underscoring an important role in development where it is required for the completion of gastrulation. MOV10 is expressed throughout the organism; however, most studies have focused on germline cells and neurons. In the testes, the knockdown of Mov10 disrupts proliferation of spermatogonial progenitor cells. In brain, MOV10 is significantly elevated postnatally and binds mRNAs encoding cytoskeleton and neuron projection proteins, suggesting an important role in neuronal architecture. Heterozygous Mov10 mutant mice are hyperactive and anxious and their cultured hippocampal neurons have reduced dendritic arborization. Zygotic knockdown of Mov10 in Xenopus laevis causes abnormal head and eye development and mislocalization of neuronal precursors in the brain. Thus, MOV10 plays a vital role during development, defense against viral infection and in neuronal development and function: its many roles and regulation are only beginning to be unraveled. This article is categorized under:RNA Interactions with Proteins and Other Molecules > RNA‐Protein Complexes RNA Interactions with Proteins and Other Molecules > Protein‐RNA Interactions: Functional Implications
Collapse
Affiliation(s)
- Aatiqa Nawaz
- Department of Cell and Developmental Biology, University of Illinois-Urbana Champaign, Champaign, Illinois, USA
| | - Temirlan Shilikbay
- Department of Cell and Developmental Biology, University of Illinois-Urbana Champaign, Champaign, Illinois, USA
| | - Geena Skariah
- Neuroscience Program, University of Illinois-Urbana Champaign, Champaign, Illinois, USA.,Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Stephanie Ceman
- Department of Cell and Developmental Biology, Neuroscience Program, University of Illinois-Urbana Champaign, Champaign, Illinois, USA
| |
Collapse
|
6
|
Lin H, Yang Y, Hou C, Zheng J, Lv G, Mao R, Xu P, Chen S, Zhou Y, Wang P, Zhou D. An integrated analysis of enhancer RNAs in glioma and a validation of their prognostic values. Am J Transl Res 2021; 13. [PMID: 34539983 PMCID: PMC8430071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Glioma, a highly aggressive neuroepithelial malignant brain tumor, is associated with high disability and recurrence rates. Enhancer RNA (eRNA) plays a significant role in tumor proliferation and metastasis; however, their functions in gliomas need further evaluation. We used the computational pipeline, PreSTIGE, to predict tissue-specific enhancer-derived RNAs and the underlying regulatory genes. Using data retrieved from the TCGA and CGGA databases, a LASSO regression analysis and multiCox proportional hazards regression analyses were performed to determine the hub eRNAs associated with glioma prognosis. Quantitative reverse transcription PCR was performed on the glioma samples to evaluate the expression characteristics of the identified hub eRNAs. To construct a risk signature, we selected three eRNAs, including CRNDE, MRPS31P5, and LINC00844, for their significant prognostic values. The predictive value of the risk signature was validated using the CGGA and Rembrandt cohorts. Apart from the risk signature, the nomogram performed well at predicting OS in glioma patients. An eRNA-target gene regulatory network was established, which we evaluated using a target gene enrichment analysis. Pathway and gene ontology (GO) analyses demonstrated that the risk signature is associated with mRNA processing and spliceosome in glioma. Furthermore, we found that hub eRNAs potentially regulate the expressions of numerous splicing factors, such as MOV10 and SEC31B, and are correlated with prognosis-associated alteration splicing (AS). In conclusion, we established a risk signature that comprises three eRNAs, which can accurately be utilized as targets to predict prognosis in glioma patients.
Collapse
Affiliation(s)
- Han Lin
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- Shantou University Medical CollegeShantou 515041, Guangdong Province, P. R. China
| | - Yong Yang
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
| | - Chongxian Hou
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
| | - Jiantao Zheng
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- School of Medicine, South China University of TechnologyGuangzhou 510006, Guangdong Province, P. R. China
| | - Guangzhao Lv
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- Shantou University Medical CollegeShantou 515041, Guangdong Province, P. R. China
| | - Rui Mao
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- School of Medicine, South China University of TechnologyGuangzhou 510006, Guangdong Province, P. R. China
| | - Peihong Xu
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- Shantou University Medical CollegeShantou 515041, Guangdong Province, P. R. China
| | - Shanwei Chen
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- Shantou University Medical CollegeShantou 515041, Guangdong Province, P. R. China
| | - Yujun Zhou
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
- Southern Medical UniversityGuangzhou 510515, Guangdong Province, P. R. China
| | - Peng Wang
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
| | - Dong Zhou
- Department of Neurosurgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical SciencesGuangzhou 510080, Guangdong Province, P. R. China
| |
Collapse
|
7
|
Paraiso KD, Blitz IL, Zhou JJ, Cho KWY. Morpholinos Do Not Elicit an Innate Immune Response during Early Xenopus Embryogenesis. Dev Cell 2020; 49:643-650.e3. [PMID: 31112700 DOI: 10.1016/j.devcel.2019.04.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2018] [Revised: 03/14/2019] [Accepted: 04/16/2019] [Indexed: 02/06/2023]
Abstract
It has recently been reported that a common side effect of translation-blocking morpholino antisense oligonucleotides is the induction of a set of innate immune response genes in Xenopus embryos and that splicing-blocking morpholinos lead to unexpected off-target mis-splicing events. Here, we present an analysis of all publicly available Xenopus RNA sequencing (RNA-seq) data in a reexamination of the effects of translation-blocking morpholinos on the innate immune response. Our analysis does not support the authors' general conclusion, which was based on a limited number of RNA-seq datasets. Moreover, the strong induction of an immune response appears to be specific to the tbxt/tbxt2 morpholinos. The more comprehensive study presented here indicates that using morpholinos for targeted gene knockdowns remains of considerable value for the rapid identification of gene function.
Collapse
Affiliation(s)
- Kitt D Paraiso
- Developmental and Cell Biology, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA
| | - Ira L Blitz
- Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Jeff J Zhou
- Developmental and Cell Biology, University of California, Irvine, CA, USA
| | - Ken W Y Cho
- Developmental and Cell Biology, University of California, Irvine, CA, USA; Center for Complex Biological Systems, University of California, Irvine, CA, USA.
| |
Collapse
|