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McDonald BD, Massri AJ, Berrio A, Byrne M, McClay DR, Wray GA. Contrasting the development of larval and adult body plans during the evolution of biphasic lifecycles in sea urchins. Development 2024; 151:dev203015. [PMID: 39465623 PMCID: PMC11529275 DOI: 10.1242/dev.203015] [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: 04/30/2024] [Accepted: 09/16/2024] [Indexed: 10/29/2024]
Abstract
Biphasic lifecycles are widespread among animals, but little is known about how the developmental transition between larvae and adults is regulated. Sea urchins are a unique system for studying this phenomenon because of the stark differences between their bilateral larval and pentaradial adult body plans. Here, we use single-cell RNA sequencing to analyze the development of Heliocidaris erythrogramma (He), a sea urchin species with an accelerated, non-feeding mode of larval development. The sequencing time course extends from embryogenesis to roughly a day before the onset of metamorphosis in He larvae, which is a period that has not been covered by previous datasets. We find that the non-feeding developmental strategy of He is associated with several changes in the specification of larval cell types compared to sea urchins with feeding larvae, such as the loss of a larva-specific skeletal cell population. Furthermore, the development of the larval and adult body plans in sea urchins may utilize largely different sets of regulatory genes. These findings lay the groundwork for extending existing developmental gene regulatory networks to cover additional stages of biphasic lifecycles.
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Affiliation(s)
| | | | | | - Maria Byrne
- School of Life and Environmental Sciences, A11, University of Sydney, Sydney, NSW, 2006, Australia
| | - David R. McClay
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - Gregory A. Wray
- Department of Biology, Duke University, Durham, NC 27708, USA
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2
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Jackson EW, Romero E, Kling S, Lee Y, Tjeerdema E, Hamdoun A. Stable germline transgenesis using the Minos Tc1/mariner element in the sea urchin Lytechinus pictus. Development 2024; 151:dev202991. [PMID: 39023164 PMCID: PMC11361634 DOI: 10.1242/dev.202991] [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: 04/25/2024] [Accepted: 07/02/2024] [Indexed: 07/20/2024]
Abstract
Stable transgenesis is a transformative tool in model organism biology. Although the sea urchin is one of the oldest animal models in cell and developmental biology, studies in this animal have largely relied on transient manipulation of wild animals, without a strategy for stable transgenesis. Here, we build on recent progress to develop a more genetically tractable sea urchin species, Lytechinus pictus, and establish a robust transgene integration method. Three commonly used transposons (Minos, Tol2 and piggyBac) were tested for non-autonomous transposition, using plasmids containing a polyubiquitin promoter upstream of a H2B-mCerulean nuclear marker. Minos was the only transposable element that resulted in significant expression beyond metamorphosis. F0 animals were raised to sexual maturity, and spawned to determine germline integration and transgene inheritance frequency, and to characterize expression patterns of the transgene in F1 progeny. The results demonstrate transgene transmission through the germline, the first example of a germline transgenic sea urchin and, indeed, of any echinoderm. This milestone paves the way for the generation of diverse transgenic resources that will dramatically enhance the utility, reproducibility and efficiency of sea urchin research.
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Affiliation(s)
- Elliot W. Jackson
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
| | - Emilio Romero
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
| | - Svenja Kling
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
| | - Yoon Lee
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
| | - Evan Tjeerdema
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
| | - Amro Hamdoun
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92037, USA
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3
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Luo Z, Wu L, Miao X, Zhang S, Wei N, Zhao S, Shang X, Hu H, Xue J, Zhang T, Yang F, Xu S, Li L. A dynamic regulome of shoot-apical-meristem-related homeobox transcription factors modulates plant architecture in maize. Genome Biol 2024; 25:245. [PMID: 39300560 DOI: 10.1186/s13059-024-03391-8] [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: 01/30/2024] [Accepted: 09/10/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND The shoot apical meristem (SAM), from which all above-ground tissues of plants are derived, is critical to plant morphology and development. In maize (Zea mays), loss-of-function mutant studies have identified several SAM-related genes, most encoding homeobox transcription factors (TFs), located upstream of hierarchical networks of hundreds of genes. RESULTS Here, we collect 46 transcriptome and 16 translatome datasets across 62 different tissues or stages from the maize inbred line B73. We construct a dynamic regulome for 27 members of three SAM-related homeobox subfamilies (KNOX, WOX, and ZF-HD) through machine-learning models for the detection of TF targets across different tissues and stages by combining tsCUT&Tag, ATAC-seq, and expression profiling. This dynamic regulome demonstrates the distinct binding specificity and co-factors for these homeobox subfamilies, indicative of functional divergence between and within them. Furthermore, we assemble a SAM dynamic regulome, illustrating potential functional mechanisms associated with plant architecture. Lastly, we generate a wox13a mutant that provides evidence that WOX13A directly regulates Gn1 expression to modulate plant height, validating the regulome of SAM-related homeobox genes. CONCLUSIONS The SAM-related homeobox transcription-factor regulome presents an unprecedented opportunity to dissect the molecular mechanisms governing SAM maintenance and development, thereby advancing our understanding of maize growth and shoot architecture.
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Affiliation(s)
- Zi Luo
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Leiming Wu
- The National Engineering Laboratory of Crop Resistance Breeding, School of Life Sciences, Anhui Agricultural University, Hefei, 230036, China
| | - Xinxin Miao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shuang Zhang
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi, 712199, China
| | - Ningning Wei
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi, 712199, China
| | - Shiya Zhao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xiaoyang Shang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Hongyan Hu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jiquan Xue
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi, 712199, China
| | - Tifu Zhang
- Jiangsu Provincial Key Laboratory of Agrobiology, Institute of Germplasm Resources and Biotechnology, Jiangsu Academy of Agricultural Sciences, Nanjing, 210014, China
| | - Fang Yang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China
| | - Shutu Xu
- The Key Laboratory of Biology and Genetics Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, Northwest A&F University, Yangling, Shaanxi, 712199, China.
| | - Lin Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, 430070, China.
- Hubei Hongshan Laboratory, Wuhan, 430070, China.
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan, 430070, China.
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China.
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4
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Pinheiro LHM, Moura DFSD, Antunes LS, Antunes LAA. Bibliometric analysis of publications on genetic polymorphism and external apical root resorption research. Dental Press J Orthod 2024; 29:e2423268. [PMID: 39230110 PMCID: PMC11368243 DOI: 10.1590/2177-6709.29.4.e2423268.oar] [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: 11/28/2023] [Accepted: 04/04/2024] [Indexed: 09/05/2024] Open
Abstract
OBJECTIVE This study aimed to analyze the scientific production of genetic polymorphisms and external apical root resorption (EARR) to establish main findings, geographic trends, and research gaps for possible future investigations. METHODS Unrestricted publications were searched using the Scopus database (March 2023) to include studies that addressed the association between genetic polymorphisms and EARR. Case-control, cohort, cross-sectional, and review studies were considered eligible. The softwares VOS viewer™ and Bibliometrix were used for data analysis. RESULTS Of the 44 studies analyzed, "Iglesias-Linares A" was the most cited author. The University of Seville (Spain) conducted the most research on this topic. Brazil, Spain, and the USA were the leading countries in terms of citations. The most frequent term in the co-occurrence of keywords was "EARR." The journal American Journal of Orthodontics and Dentofacial Orthopedics presented a great relevance in the area, demonstrating a high number of publications. Several genetic polymorphisms have been investigated, with interleukins being the most studied. CONCLUSION Endodontics is an area of research that should focus more on root resorption and genetic polymorphisms, as it still underexplored, compared to orthodontics. Polymorphisms have been studied as possible predictors of EARR caused by orthodontic tooth movement. However, the gap in the research indicates a need to search for new genes associated with EARR.
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Affiliation(s)
| | | | - Leonardo Santos Antunes
- Fluminense Federal University, Postgraduate Program in Dentistry (Niterói/RJ, Brazil)
- Fluminense Federal University, Nova Friburgo Institute of Health, Department of Specific Formation (Nova Friburgo/RJ, Brazil)
| | - Lívia Azeredo Alves Antunes
- Fluminense Federal University, Nova Friburgo Institute of Health, Department of Specific Formation (Nova Friburgo/RJ, Brazil)
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5
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Valencia JE, Peter IS. Combinatorial regulatory states define cell fate diversity during embryogenesis. Nat Commun 2024; 15:6841. [PMID: 39122679 PMCID: PMC11315938 DOI: 10.1038/s41467-024-50822-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 07/22/2024] [Indexed: 08/12/2024] Open
Abstract
Cell fate specification occurs along invariant species-specific trajectories that define the animal body plan. This process is controlled by gene regulatory networks that regulate the expression of the limited set of transcription factors encoded in animal genomes. Here we globally assess the spatial expression of ~90% of expressed transcription factors during sea urchin development from embryo to larva to determine the activity of gene regulatory networks and their regulatory states during cell fate specification. We show that >200 embryonically expressed transcription factors together define >70 cell fates that recapitulate the morphological and functional organization of this organism. Most cell fate-specific regulatory states consist of ~15-40 transcription factors with similarity particularly among functionally related cell types regardless of developmental origin. Temporally, regulatory states change continuously during development, indicating that progressive changes in regulatory circuit activity determine cell fate specification. We conclude that the combinatorial expression of transcription factors provides molecular definitions that suffice for the unique specification of cell states in time and space during embryogenesis.
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Affiliation(s)
- Jonathan E Valencia
- Division of Biology and Biological Engineering, MC156-29, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Isabelle S Peter
- Division of Biology and Biological Engineering, MC156-29, California Institute of Technology, Pasadena, CA, 91125, USA.
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6
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Taylor E, Corsini M, Heyland A. Shared regulatory function of non-genomic thyroid hormone signaling in echinoderm skeletogenesis. EvoDevo 2024; 15:10. [PMID: 39113104 PMCID: PMC11304627 DOI: 10.1186/s13227-024-00226-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/22/2024] [Indexed: 08/10/2024] Open
Abstract
Thyroid hormones are crucial regulators of metamorphosis and development in bilaterians, particularly in chordate deuterostomes. Recent evidence suggests a role for thyroid hormone signaling, principally via 3,5,3',5'-Tetraiodo-L-thyronine (T4), in the regulation of metamorphosis, programmed cell death and skeletogenesis in echinoids (sea urchins and sand dollars) and sea stars. Here, we test whether TH signaling in skeletogenesis is a shared trait of Echinozoa (Echinoida and Holothouroida) and Asterozoa (Ophiourida and Asteroida). We demonstrate dramatic acceleration of skeletogenesis after TH treatment in three classes of echinoderms: sea urchins, sea stars, and brittle stars (echinoids, asteroids, and ophiuroids). Fluorescently labeled thyroid hormone analogues reveal thyroid hormone binding to cells proximal to regions of skeletogenesis in the gut and juvenile rudiment. We also identify, for the first time, a potential source of thyroxine during gastrulation in sea urchin embryos. Thyroxine-positive cells are present in tip of the archenteron. In addition, we detect thyroid hormone binding to the cell membrane and nucleus during metamorphic development in echinoderms. Immunohistochemistry of phosphorylated MAPK in the presence and absence of TH-binding inhibitors suggests that THs may act via phosphorylation of MAPK (ERK1/2) to accelerate initiation of skeletogenesis in the three echinoderm groups. Together, these results indicate that TH regulation of mesenchyme cell activity via integrin-mediated MAPK signaling may be a conserved mechanism for the regulation of skeletogenesis in echinoderm development. In addition, TH action via a nuclear thyroid hormone receptor may regulate metamorphic development. Our findings shed light on potentially ancient pathways of thyroid hormone activity in echinoids, ophiuroids, and asteroids, or on a signaling system that has been repeatedly co-opted to coordinate metamorphic development in bilaterians.
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Affiliation(s)
- Elias Taylor
- College of Biological Sciences, University of Guelph, Integrative Biology, Guelph, ON, N1G-2W1, Canada.
| | - Megan Corsini
- College of Biological Sciences, University of Guelph, Integrative Biology, Guelph, ON, N1G-2W1, Canada
| | - Andreas Heyland
- College of Biological Sciences, University of Guelph, Integrative Biology, Guelph, ON, N1G-2W1, Canada
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7
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Oulhen N, Morita S, Pieplow C, Onorato TM, Foster S, Wessel G. Conservation and contrast in cell states of echinoderm ovaries. Mol Reprod Dev 2024; 91:e23721. [PMID: 38054259 PMCID: PMC11153327 DOI: 10.1002/mrd.23721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/20/2023] [Accepted: 11/21/2023] [Indexed: 12/07/2023]
Abstract
Echinoderms produce functional gametes throughout their lifespan, in some cases exceeding 200 years. The histology and ultrastructure of echinoderm ovaries has been described but how these ovaries function and maintain the production of high-quality gametes remains a mystery. Here, we present the first single cell RNA sequencing data sets of mature ovaries from two sea urchin species (Strongylocentrotus purpuratus [Sp] and Lytechinus variegatus [Lv]), and one sea star species (Patiria miniata [Pm]). We find 14 cell states in the Sp ovary, 16 cell states in the Lv ovary and 13 cell states in the ovary of the sea star. This resource is essential to understand the structure and functional biology of the ovary in echinoderms, and better informs decisions in the utilization of in situ RNA hybridization probes selective for various cell types. We link key genes with cell clusters in validation of this approach. This resource also aids in the identification of the stem cells for prolonged and continuous gamete production, is a foundation for testing changes in the annual reproductive cycle, and is essential for understanding the evolution of reproduction of this important phylum.
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Affiliation(s)
- Nathalie Oulhen
- Department of Molecular and Cellular Biology & Biochemistry, Brown University, Providence, RI 02912, USA
| | - Shumpei Morita
- Department of Molecular and Cellular Biology & Biochemistry, Brown University, Providence, RI 02912, USA
- Asamushi Research Center for Marine Biology, Tohoku University, Aomori, 039-3501, Japan
| | - Cosmo Pieplow
- Department of Molecular and Cellular Biology & Biochemistry, Brown University, Providence, RI 02912, USA
| | - Thomas M. Onorato
- Department of Molecular and Cellular Biology & Biochemistry, Brown University, Providence, RI 02912, USA
- Department of Natural Sciences, LaGuardia Community College, Long Island City, NY 11101, USA
| | - Stephany Foster
- Department of Molecular and Cellular Biology & Biochemistry, Brown University, Providence, RI 02912, USA
| | - Gary Wessel
- Department of Molecular and Cellular Biology & Biochemistry, Brown University, Providence, RI 02912, USA
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8
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Liberali P, Schier AF. The evolution of developmental biology through conceptual and technological revolutions. Cell 2024; 187:3461-3495. [PMID: 38906136 DOI: 10.1016/j.cell.2024.05.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/23/2024]
Abstract
Developmental biology-the study of the processes by which cells, tissues, and organisms develop and change over time-has entered a new golden age. After the molecular genetics revolution in the 80s and 90s and the diversification of the field in the early 21st century, we have entered a phase when powerful technologies provide new approaches and open unexplored avenues. Progress in the field has been accelerated by advances in genomics, imaging, engineering, and computational biology and by emerging model systems ranging from tardigrades to organoids. We summarize how revolutionary technologies have led to remarkable progress in understanding animal development. We describe how classic questions in gene regulation, pattern formation, morphogenesis, organogenesis, and stem cell biology are being revisited. We discuss the connections of development with evolution, self-organization, metabolism, time, and ecology. We speculate how developmental biology might evolve in an era of synthetic biology, artificial intelligence, and human engineering.
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Affiliation(s)
- Prisca Liberali
- Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland; University of Basel, Basel, Switzerland.
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9
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Telmer CA, Karimi K, Chess MM, Agalakov S, Arshinoff BI, Lotay V, Wang DZ, Chu S, Pells TJ, Vize PD, Hinman VF, Ettensohn CA. Echinobase: a resource to support the echinoderm research community. Genetics 2024; 227:iyae002. [PMID: 38262680 PMCID: PMC11075573 DOI: 10.1093/genetics/iyae002] [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: 11/13/2023] [Accepted: 12/27/2023] [Indexed: 01/25/2024] Open
Abstract
Echinobase (www.echinobase.org) is a model organism knowledgebase serving as a resource for the community that studies echinoderms, a phylum of marine invertebrates that includes sea urchins and sea stars. Echinoderms have been important experimental models for over 100 years and continue to make important contributions to environmental, evolutionary, and developmental studies, including research on developmental gene regulatory networks. As a centralized resource, Echinobase hosts genomes and collects functional genomic data, reagents, literature, and other information for the community. This third-generation site is based on the Xenbase knowledgebase design and utilizes gene-centric pages to minimize the time and effort required to access genomic information. Summary gene pages display gene symbols and names, functional data, links to the JBrowse genome browser, and orthology to other organisms and reagents, and tabs from the Summary gene page contain more detailed information concerning mRNAs, proteins, diseases, and protein-protein interactions. The gene pages also display 1:1 orthologs between the fully supported species Strongylocentrotus purpuratus (purple sea urchin), Lytechinus variegatus (green sea urchin), Patiria miniata (bat star), and Acanthaster planci (crown-of-thorns sea star). JBrowse tracks are available for visualization of functional genomic data from both fully supported species and the partially supported species Anneissia japonica (feather star), Asterias rubens (sugar star), and L. pictus (painted sea urchin). Echinobase serves a vital role by providing researchers with annotated genomes including orthology, functional genomic data aligned to the genomes, and curated reagents and data. The Echinoderm Anatomical Ontology provides a framework for standardizing developmental data across the phylum, and knowledgebase content is formatted to be findable, accessible, interoperable, and reusable by the research community.
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Affiliation(s)
- Cheryl A Telmer
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Kamran Karimi
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Macie M Chess
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Sergei Agalakov
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Bradley I Arshinoff
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Vaneet Lotay
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Dong Zhuo Wang
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Stanley Chu
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Troy J Pells
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Peter D Vize
- Department of Biological Sciences, University of Calgary, Calgary, AB, Canada T2N 1N4
| | - Veronica F Hinman
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Charles A Ettensohn
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA 15213, USA
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10
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Tjeerdema E, Lee Y, Metry R, Hamdoun A. Semi-automated, high-content imaging of drug transporter knockout sea urchin (Lytechinus pictus) embryos. JOURNAL OF EXPERIMENTAL ZOOLOGY. PART B, MOLECULAR AND DEVELOPMENTAL EVOLUTION 2024; 342:313-329. [PMID: 38087422 DOI: 10.1002/jez.b.23231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 11/08/2023] [Accepted: 11/19/2023] [Indexed: 05/01/2024]
Abstract
A defining feature of sea urchins is their extreme fecundity. Urchins produce millions of transparent, synchronously developing embryos, ideal for spatial and temporal analysis of development. This biological feature has been effectively utilized for ensemble measurement of biochemical changes. However, it has been underutilized in imaging studies, where single embryo measurements are used. Here we present an example of how stable genetics and high content imaging, along with machine learning-based image analysis, can be used to exploit the fecundity and synchrony of sea urchins in imaging-based drug screens. Building upon our recently created sea urchin ABCB1 knockout line, we developed a high-throughput assay to probe the role of this drug transporter in embryos. We used high content imaging to compare accumulation and toxicity of canonical substrates and inhibitors of the transporter, including fluorescent molecules and antimitotic cancer drugs, in homozygous knockout and wildtype embryos. To measure responses from the resulting image data, we used a nested convolutional neural network, which rapidly classified embryos according to fluorescence or cell division. This approach identified sea urchin embryos with 99.8% accuracy and determined two-cell and aberrant embryos with 96.3% and 89.1% accuracy, respectively. The results revealed that ABCB1 knockout embryos accumulated the transporter substrate calcein 3.09 times faster than wildtypes. Similarly, knockouts were 4.71 and 3.07 times more sensitive to the mitotic poisons vinblastine and taxol. This study paves the way for large scale pharmacological screens in the sea urchin embryo.
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Affiliation(s)
- Evan Tjeerdema
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Yoon Lee
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Rachel Metry
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
| | - Amro Hamdoun
- Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, USA
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11
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Komoto T, Ikeo K, Yaguchi S, Yamamoto T, Sakamoto N, Awazu A. Assembly of continuous high-resolution draft genome sequence of Hemicentrotus pulcherrimus using long-read sequencing. Dev Growth Differ 2024; 66:297-304. [PMID: 38634255 PMCID: PMC11457506 DOI: 10.1111/dgd.12924] [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: 11/02/2023] [Revised: 03/13/2024] [Accepted: 04/02/2024] [Indexed: 04/19/2024]
Abstract
The update of the draft genome assembly of sea urchin, Hemicentrotus pulcherrimus, which is widely studied in East Asia as a model organism of early development, was performed using Oxford nanopore long-read sequencing. The updated assembly provided ~600-Mb genome sequences divided into 2,163 contigs with N50 = 516 kb. BUSCO completeness score and transcriptome model mapping ratio (TMMR) of the present assembly were obtained as 96.5% and 77.8%, respectively. These results were more continuous with higher resolution than those by the previous version of H. pulcherrimus draft genome, HpulGenome_v1, where the number of scaffolds = 16,251 with a total of ~100 Mb, N50 = 143 kb, BUSCO completeness score = 86.1%, and TMMR = 55.4%. The obtained genome contained 36,055 gene models that were consistent with those in other echinoderms. Additionally, two tandem repeat sequences of early histone gene locus containing 47 copies and 34 copies of all histone genes, and 185 of the homologous sequences of the interspecifically conserved region of the Ars insulator, ArsInsC, were obtained. These results provide further advance for genome-wide research of development, gene regulation, and intranuclear structural dynamics of multicellular organisms using H. pulcherrimus.
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Affiliation(s)
- Tetsushi Komoto
- Graduate School of Integrated Sciences for LifeHiroshima UniversityHigashi‐HiroshimaJapan
| | - Kazuho Ikeo
- Department of Genomics and Evolutionary BiologyNational Institute of GeneticsShizuokaJapan
| | | | - Takashi Yamamoto
- Graduate School of Integrated Sciences for LifeHiroshima UniversityHigashi‐HiroshimaJapan
- Research Center for the Mathematics on Chromatin Live DynamicsHiroshima UniversityHigashi‐HiroshimaJapan
| | - Naoaki Sakamoto
- Graduate School of Integrated Sciences for LifeHiroshima UniversityHigashi‐HiroshimaJapan
- Research Center for the Mathematics on Chromatin Live DynamicsHiroshima UniversityHigashi‐HiroshimaJapan
| | - Akinori Awazu
- Graduate School of Integrated Sciences for LifeHiroshima UniversityHigashi‐HiroshimaJapan
- Research Center for the Mathematics on Chromatin Live DynamicsHiroshima UniversityHigashi‐HiroshimaJapan
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12
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Massri AJ, Berrio A, Afanassiev A, Greenstreet L, Pipho K, Byrne M, Schiebinger G, McClay DR, Wray GA. Single-cell transcriptomics reveals evolutionary reconfiguration of embryonic cell fate specification in the sea urchin Heliocidaris erythrogramma. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.30.591752. [PMID: 38746376 PMCID: PMC11092583 DOI: 10.1101/2024.04.30.591752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Altered regulatory interactions during development likely underlie a large fraction of phenotypic diversity within and between species, yet identifying specific evolutionary changes remains challenging. Analysis of single-cell developmental transcriptomes from multiple species provides a powerful framework for unbiased identification of evolutionary changes in developmental mechanisms. Here, we leverage a "natural experiment" in developmental evolution in sea urchins, where a major life history switch recently evolved in the lineage leading to Heliocidaris erythrogramma, precipitating extensive changes in early development. Comparative analyses of scRNA-seq developmental time courses from H. erythrogramma and Lytechinus variegatus (representing the derived and ancestral states respectively) reveals numerous evolutionary changes in embryonic patterning. The earliest cell fate specification events, and the primary signaling center are co-localized in the ancestral dGRN but remarkably, in H. erythrogramma they are spatially and temporally separate. Fate specification and differentiation are delayed in most embryonic cell lineages, although in some cases, these processes are conserved or even accelerated. Comparative analysis of regulator-target gene co-expression is consistent with many specific interactions being preserved but delayed in H. erythrogramma, while some otherwise widely conserved interactions have likely been lost. Finally, specific patterning events are directly correlated with evolutionary changes in larval morphology, suggesting that they are directly tied to the life history shift. Together, these findings demonstrate that comparative scRNA-seq developmental time courses can reveal a diverse set of evolutionary changes in embryonic patterning and provide an efficient way to identify likely candidate regulatory interactions for subsequent experimental validation.
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Affiliation(s)
- Abdull J Massri
- Department of Biology, Duke University, Durham, NC 27701 USA
| | | | - Anton Afanassiev
- Department of Mathematics, University of British Colombia, Vancouver, BC V6T 1Z4 Canada
| | - Laura Greenstreet
- Department of Mathematics, University of British Colombia, Vancouver, BC V6T 1Z4 Canada
| | - Krista Pipho
- Department of Biology, Duke University, Durham, NC 27701 USA
| | - Maria Byrne
- School of Life and Environmental Sciences, Sydney University, Sydney, NSW Australia
| | - Geoffrey Schiebinger
- Department of Mathematics, University of British Colombia, Vancouver, BC V6T 1Z4 Canada
| | - David R McClay
- Department of Biology, Duke University, Durham, NC 27701 USA
| | - Gregory A Wray
- Department of Biology, Duke University, Durham, NC 27701 USA
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13
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Sampilo NF, Song JL. microRNA-1 regulates sea urchin skeletogenesis by directly targeting skeletogenic genes and modulating components of signaling pathways. Dev Biol 2024; 508:123-137. [PMID: 38290645 PMCID: PMC10985635 DOI: 10.1016/j.ydbio.2024.01.010] [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: 05/08/2023] [Revised: 01/09/2024] [Accepted: 01/22/2024] [Indexed: 02/01/2024]
Abstract
microRNAs are evolutionarily conserved non-coding RNAs that direct post-transcriptional regulation of target transcripts. In vertebrates, microRNA-1 (miR-1) is expressed in muscle and has been found to play critical regulatory roles in vertebrate angiogenesis, a process that has been proposed to be analogous to sea urchin skeletogenesis. Results indicate that both miR-1 inhibitor and miR-1 mimic-injected larvae have significantly less F-actin enriched circumpharyngeal muscle fibers and fewer gut contractions. In addition, miR-1 regulates the positioning of skeletogenic primary mesenchyme cells (PMCs) and skeletogenesis of the sea urchin embryo. Interestingly, the gain-of-function of miR-1 leads to more severe PMC patterning and skeletal branching defects than its loss-of-function. The results suggest that miR-1 directly suppresses Ets1/2, Tbr, and VegfR7 of the skeletogenic gene regulatory network, and Nodal, and Wnt1 signaling components. This study identifies potential targets of miR-1 that impacts skeletogenesis and muscle formation and contributes to a deeper understanding of miR-1's function during development.
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Affiliation(s)
- Nina Faye Sampilo
- Department of Biological Sciences, University of Delaware, Newark, DE, 19716, USA
| | - Jia L Song
- Department of Biological Sciences, University of Delaware, Newark, DE, 19716, USA.
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14
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Ouyang Y, Willner I. Phototriggered Equilibrated and Transient Orthogonally Operating Constitutional Dynamic Networks Guiding Biocatalytic Cascades. J Am Chem Soc 2024; 146:6806-6816. [PMID: 38422481 PMCID: PMC10941189 DOI: 10.1021/jacs.3c13562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/13/2024] [Accepted: 02/14/2024] [Indexed: 03/02/2024]
Abstract
The photochemical deprotection of structurally engineered o-nitrobenzylphosphate-caged hairpin nucleic acids is introduced as a versatile method to evolve constitutional dynamic networks, CDNs. The photogenerated CDNs, in the presence of fuel strands, interact with auxiliary CDNs, resulting in their dynamically equilibrated reconfiguration. By modification of the constituents associated with the auxiliary CDNs with glucose oxidase (GOx)/horseradish peroxidase (HRP) or the lactate dehydrogenase (LDH)/nicotinamide adenine dinucleotide (NAD+) cofactor, the photogenerated CDN drives the orthogonal operation upregulated/downregulated operation of the GOx/HRP and LDH/NAD+ biocatalytic cascade in the conjugate mixture of auxiliary CDNs. Also, the photogenerated CDN was applied to control the reconfiguration of coupled CDNs, leading to upregulated/downregulated formation of the antithrombin aptamer units, resulting in the dictated inhibition of thrombin activity (fibrinogen coagulation). Moreover, a reaction module consisting of GOx/HRP-modified o-nitrobenzyl phosphate-caged DNA hairpins, photoresponsive caged auxiliary duplexes, and nickase leads upon irradiation to the emergence of a transient, dissipative CDN activating in the presence of two alternate auxiliary triggers, achieving transient operation of up- and downregulated GOx/HRP biocatalytic cascades.
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Affiliation(s)
- Yu Ouyang
- Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Itamar Willner
- Institute of Chemistry, The Hebrew University of Jerusalem, Jerusalem 91904, Israel
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15
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Qiu C, Martin BK, Welsh IC, Daza RM, Le TM, Huang X, Nichols EK, Taylor ML, Fulton O, O'Day DR, Gomes AR, Ilcisin S, Srivatsan S, Deng X, Disteche CM, Noble WS, Hamazaki N, Moens CB, Kimelman D, Cao J, Schier AF, Spielmann M, Murray SA, Trapnell C, Shendure J. A single-cell time-lapse of mouse prenatal development from gastrula to birth. Nature 2024; 626:1084-1093. [PMID: 38355799 PMCID: PMC10901739 DOI: 10.1038/s41586-024-07069-w] [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: 04/05/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024]
Abstract
The house mouse (Mus musculus) is an exceptional model system, combining genetic tractability with close evolutionary affinity to humans1,2. Mouse gestation lasts only 3 weeks, during which the genome orchestrates the astonishing transformation of a single-cell zygote into a free-living pup composed of more than 500 million cells. Here, to establish a global framework for exploring mammalian development, we applied optimized single-cell combinatorial indexing3 to profile the transcriptional states of 12.4 million nuclei from 83 embryos, precisely staged at 2- to 6-hour intervals spanning late gastrulation (embryonic day 8) to birth (postnatal day 0). From these data, we annotate hundreds of cell types and explore the ontogenesis of the posterior embryo during somitogenesis and of kidney, mesenchyme, retina and early neurons. We leverage the temporal resolution and sampling depth of these whole-embryo snapshots, together with published data4-8 from earlier timepoints, to construct a rooted tree of cell-type relationships that spans the entirety of prenatal development, from zygote to birth. Throughout this tree, we systematically nominate genes encoding transcription factors and other proteins as candidate drivers of the in vivo differentiation of hundreds of cell types. Remarkably, the most marked temporal shifts in cell states are observed within one hour of birth and presumably underlie the massive physiological adaptations that must accompany the successful transition of a mammalian fetus to life outside the womb.
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Affiliation(s)
- Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
| | - Beth K Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Truc-Mai Le
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Eva K Nichols
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Megan L Taylor
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Olivia Fulton
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Diana R O'Day
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | | | - Saskia Ilcisin
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Xinxian Deng
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Christine M Disteche
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA
| | - Nobuhiko Hamazaki
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Cecilia B Moens
- Division of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David Kimelman
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-Cell Genomics and Population dynamics, The Rockefeller University, New York, NY, USA
| | - Alexander F Schier
- Biozentrum, University of Basel, Basel, Switzerland
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Malte Spielmann
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Human Genetics, University Hospitals Schleswig-Holstein, University of Lübeck and Kiel University, Lübeck, Kiel, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Hamburg, Lübeck, Kiel, Lübeck, Germany
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
- Seattle Hub for Synthetic Biology, Seattle, WA, USA.
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16
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Maytum A, Edginton-White B, Keane P, Cockerill PN, Cazier JB, Bonifer C. Chromatin priming elements direct tissue-specific gene activity before hematopoietic specification. Life Sci Alliance 2024; 7:e202302363. [PMID: 37989524 PMCID: PMC10663361 DOI: 10.26508/lsa.202302363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 11/15/2023] [Accepted: 11/16/2023] [Indexed: 11/23/2023] Open
Abstract
Tissue-specific gene regulation during development involves the interplay between transcription factors and epigenetic regulators binding to enhancer and promoter elements. The pattern of active enhancers defines the cellular differentiation state. However, developmental gene activation involves a previous step called chromatin priming which is not fully understood. We recently developed a genome-wide functional assay that allowed us to functionally identify enhancer elements integrated in chromatin regulating five stages spanning the in vitro differentiation of embryonic stem cells to blood. We also measured global chromatin accessibility, histone modifications, and transcription factor binding. The integration of these data identified and characterised cis-regulatory elements which become activated before the onset of gene expression, some of which are primed in a signalling-dependent fashion. Deletion of such a priming element leads to a delay in the up-regulation of its associated gene in development. Our work uncovers the details of a complex network of regulatory interactions with the dynamics of early chromatin opening being at the heart of dynamic tissue-specific gene expression control.
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Affiliation(s)
- Alexander Maytum
- Institute for Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Benjamin Edginton-White
- Institute for Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Peter Keane
- Institute for Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Peter N Cockerill
- Institute for Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Jean-Baptiste Cazier
- Institute for Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Constanze Bonifer
- Institute for Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
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17
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Gautam S, Fenner JL, Wang B, Range RC. Evolutionarily conserved Wnt/Sp5 signaling is critical for anterior-posterior axis patterning in sea urchin embryos. iScience 2024; 27:108616. [PMID: 38179064 PMCID: PMC10765061 DOI: 10.1016/j.isci.2023.108616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 05/30/2023] [Accepted: 11/30/2023] [Indexed: 01/06/2024] Open
Abstract
Studies across a diverse group of metazoan embryos indicate that Wnt signaling often activates the transcription factor Sp5, forming a signaling 'cassette' that plays critical roles in many developmental processes. This study explores the role of Wnt/Sp5 signaling during the specification and patterning of the primary germ layers during early anterior-posterior axis formation in the deuterostome sea urchin embryo. Our functional analyses show that Sp5 is critical for endomesoderm specification downstream of Wnt/β-catenin in posterior cells as well as anterior neuroectoderm patterning downstream of non-canonical Wnt/JNK signaling in anterior cells. Interestingly, expression and functional data comparisons show that Wnt/Sp5 signaling often plays similar roles in posterior endomesoderm as well as neuroectoderm patterning along the AP axis of several deuterostome embryos, including vertebrates. Thus, our findings provide strong support for the idea that Wnt-Sp5 signaling cassettes were critical for the establishment of early germ layers in the common deuterostome ancestor.
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Affiliation(s)
- Sujan Gautam
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - Jennifer L. Fenner
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - Boyuan Wang
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - Ryan C. Range
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
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18
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Huang X, Song C, Zhang G, Li Y, Zhao Y, Zhang Q, Zhang Y, Fan S, Zhao J, Xie L, Li C. scGRN: a comprehensive single-cell gene regulatory network platform of human and mouse. Nucleic Acids Res 2024; 52:D293-D303. [PMID: 37889053 PMCID: PMC10767939 DOI: 10.1093/nar/gkad885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/19/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023] Open
Abstract
Gene regulatory networks (GRNs) are interpretable graph models encompassing the regulatory interactions between transcription factors (TFs) and their downstream target genes. Making sense of the topology and dynamics of GRNs is fundamental to interpreting the mechanisms of disease etiology and translating corresponding findings into novel therapies. Recent advances in single-cell multi-omics techniques have prompted the computational inference of GRNs from single-cell transcriptomic and epigenomic data at an unprecedented resolution. Here, we present scGRN (https://bio.liclab.net/scGRN/), a comprehensive single-cell multi-omics gene regulatory network platform of human and mouse. The current version of scGRN catalogs 237 051 cell type-specific GRNs (62 999 692 TF-target gene pairs), covering 160 tissues/cell lines and 1324 single-cell samples. scGRN is the first resource documenting large-scale cell type-specific GRN information of diverse human and mouse conditions inferred from single-cell multi-omics data. We have implemented multiple online tools for effective GRN analysis, including differential TF-target network analysis, TF enrichment analysis, and pathway downstream analysis. We also provided details about TF binding to promoters, super-enhancers and typical enhancers of target genes in GRNs. Taken together, scGRN is an integrative and useful platform for searching, browsing, analyzing, visualizing and downloading GRNs of interest, enabling insight into the differences in regulatory mechanisms across diverse conditions.
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Affiliation(s)
- Xuemei Huang
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- School of Computer, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Chao Song
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Guorui Zhang
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Ye Li
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Yu Zhao
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- School of Computer, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Qinyi Zhang
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Yuexin Zhang
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Shifan Fan
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- School of Computer, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Jun Zhao
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Liyuan Xie
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- School of Computer, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
| | - Chunquan Li
- The First Affiliated Hospital & MOE Key Lab of Rare Pediatric Diseases, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Key Laboratory of Multi-omics and Artificial Intelligence of Cardiovascular Diseases & College of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- School of Computer, University of South China, Hengyang, Hunan, 421001, China
- Hunan Provincial Maternal and Child Health Care Hospital, National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, China
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19
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Heydari T, Zandstra PW. Inferring Gene Regulatory Networks and Predicting the Effect of Gene Perturbations via IQCELL. Methods Mol Biol 2024; 2767:251-262. [PMID: 36790623 DOI: 10.1007/7651_2022_465] [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] [Indexed: 02/16/2023]
Abstract
IQCELL is a platform that infers Boolean gene regulatory networks from single-cell RNA sequencing data. Boolean networks can be simulated under normal and perturbed conditions. In this chapter, we provide a detailed guideline for implementing IQCELL from a raw dataset. The steps include processing data, inferring informative genes, inferring gene regulatory network, and simulating the resulted network under normal and perturbed conditions.
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Affiliation(s)
- Tiam Heydari
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
| | - Peter W Zandstra
- School of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
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20
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Abstract
The goal of comparative developmental biology is identifying mechanistic differences in embryonic development between different taxa and how these evolutionary changes have led to morphological and organizational differences in adult body plans. Much of this work has focused on direct-developing species in which the adult forms straight from the embryo and embryonic modifications have direct effects on the adult. However, most animal lineages are defined by indirect development, in which the embryo gives rise to a larval body plan and the adult forms by transformation of the larva. Historically, much of our understanding of complex life cycles is viewed through the lenses of ecology and zoology. In this review, we discuss the importance of establishing developmental rather than morphological or ecological criteria for defining developmental mode and explicitly considering the evolutionary implications of incorporating complex life cycles into broad developmental comparisons of embryos across metazoans.
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Affiliation(s)
- Laurent Formery
- Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, California, USA;
- Department of Cell and Molecular Biology, University of California, Berkeley, California, USA
| | - Christopher J Lowe
- Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, California, USA;
- Chan Zuckerberg BioHub, San Francisco, California, USA
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21
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Devens HR, Davidson PL, Byrne M, Wray GA. Hybrid Epigenomes Reveal Extensive Local Genetic Changes to Chromatin Accessibility Contribute to Divergence in Embryonic Gene Expression Between Species. Mol Biol Evol 2023; 40:msad222. [PMID: 37823438 PMCID: PMC10638671 DOI: 10.1093/molbev/msad222] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 06/14/2023] [Accepted: 07/27/2023] [Indexed: 10/13/2023] Open
Abstract
Chromatin accessibility plays an important role in shaping gene expression, yet little is known about the genetic and molecular mechanisms that influence the evolution of chromatin configuration. Both local (cis) and distant (trans) genetic influences can in principle influence chromatin accessibility and are based on distinct molecular mechanisms. We, therefore, sought to characterize the role that each of these plays in altering chromatin accessibility in 2 closely related sea urchin species. Using hybrids of Heliocidaris erythrogramma and Heliocidaris tuberculata, and adapting a statistical framework previously developed for the analysis of cis and trans influences on the transcriptome, we examined how these mechanisms shape the regulatory landscape at 3 important developmental stages, and compared our results to similar analyses of the transcriptome. We found extensive cis- and trans-based influences on evolutionary changes in chromatin, with cis effects generally larger in effect. Evolutionary changes in accessibility and gene expression are correlated, especially when expression has a local genetic basis. Maternal influences appear to have more of an effect on chromatin accessibility than on gene expression, persisting well past the maternal-to-zygotic transition. Chromatin accessibility near gene regulatory network genes appears to be distinctly regulated, with trans factors appearing to play an outsized role in the configuration of chromatin near these genes. Together, our results represent the first attempt to quantify cis and trans influences on evolutionary divergence in chromatin configuration in an outbred natural study system and suggest that chromatin regulation is more genetically complex than was previously appreciated.
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Affiliation(s)
| | | | - Maria Byrne
- School of Medical Science, The University of Sydney, Sydney, New South Wales, Australia
- School of Life and Environmental Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Gregory A Wray
- Department of Biology, Duke University, Durham, NC, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC, USA
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22
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Badia-I-Mompel P, Wessels L, Müller-Dott S, Trimbour R, Ramirez Flores RO, Argelaguet R, Saez-Rodriguez J. Gene regulatory network inference in the era of single-cell multi-omics. Nat Rev Genet 2023; 24:739-754. [PMID: 37365273 DOI: 10.1038/s41576-023-00618-5] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2023] [Indexed: 06/28/2023]
Abstract
The interplay between chromatin, transcription factors and genes generates complex regulatory circuits that can be represented as gene regulatory networks (GRNs). The study of GRNs is useful to understand how cellular identity is established, maintained and disrupted in disease. GRNs can be inferred from experimental data - historically, bulk omics data - and/or from the literature. The advent of single-cell multi-omics technologies has led to the development of novel computational methods that leverage genomic, transcriptomic and chromatin accessibility information to infer GRNs at an unprecedented resolution. Here, we review the key principles of inferring GRNs that encompass transcription factor-gene interactions from transcriptomics and chromatin accessibility data. We focus on the comparison and classification of methods that use single-cell multimodal data. We highlight challenges in GRN inference, in particular with respect to benchmarking, and potential further developments using additional data modalities.
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Affiliation(s)
- Pau Badia-I-Mompel
- Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
| | - Lorna Wessels
- Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
- Department of Vascular Biology and Tumor Angiogenesis, European Center for Angioscience, Medical Faculty, MannHeim Heidelberg University, Mannheim, Germany
| | - Sophia Müller-Dott
- Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
| | - Rémi Trimbour
- Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
- Institut Pasteur, Université Paris Cité, CNRS UMR 3738, Machine Learning for Integrative Genomics Group, Paris, France
| | - Ricardo O Ramirez Flores
- Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany
| | | | - Julio Saez-Rodriguez
- Heidelberg University, Faculty of Medicine, Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, Heidelberg, Germany.
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23
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Bravo González-Blas C, De Winter S, Hulselmans G, Hecker N, Matetovici I, Christiaens V, Poovathingal S, Wouters J, Aibar S, Aerts S. SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks. Nat Methods 2023; 20:1355-1367. [PMID: 37443338 PMCID: PMC10482700 DOI: 10.1038/s41592-023-01938-4] [Citation(s) in RCA: 114] [Impact Index Per Article: 114.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 06/06/2023] [Indexed: 07/15/2023]
Abstract
Joint profiling of chromatin accessibility and gene expression in individual cells provides an opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present a method for the inference of enhancer-driven GRNs, called SCENIC+. SCENIC+ predicts genomic enhancers along with candidate upstream transcription factors (TFs) and links these enhancers to candidate target genes. To improve both recall and precision of TF identification, we curated and clustered a motif collection with more than 30,000 motifs. We benchmarked SCENIC+ on diverse datasets from different species, including human peripheral blood mononuclear cells, ENCODE cell lines, melanoma cell states and Drosophila retinal development. Next, we exploit SCENIC+ predictions to study conserved TFs, enhancers and GRNs between human and mouse cell types in the cerebral cortex. Finally, we use SCENIC+ to study the dynamics of gene regulation along differentiation trajectories and the effect of TF perturbations on cell state. SCENIC+ is available at scenicplus.readthedocs.io .
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Affiliation(s)
- Carmen Bravo González-Blas
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Seppe De Winter
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Gert Hulselmans
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Nikolai Hecker
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Irina Matetovici
- VIB Center for Brain & Disease Research, Leuven, Belgium
- VIB Tech Watch, VIB Headquarters, Ghent, Belgium
| | - Valerie Christiaens
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | - Jasper Wouters
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Sara Aibar
- VIB Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Stein Aerts
- VIB Center for Brain & Disease Research, Leuven, Belgium.
- Department of Human Genetics, KU Leuven, Leuven, Belgium.
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24
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Tajer B, Savage AM, Whited JL. The salamander blastema within the broader context of metazoan regeneration. Front Cell Dev Biol 2023; 11:1206157. [PMID: 37635872 PMCID: PMC10450636 DOI: 10.3389/fcell.2023.1206157] [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: 04/15/2023] [Accepted: 07/26/2023] [Indexed: 08/29/2023] Open
Abstract
Throughout the animal kingdom regenerative ability varies greatly from species to species, and even tissue to tissue within the same organism. The sheer diversity of structures and mechanisms renders a thorough comparison of molecular processes truly daunting. Are "blastemas" found in organisms as distantly related as planarians and axolotls derived from the same ancestral process, or did they arise convergently and independently? Is a mouse digit tip blastema orthologous to a salamander limb blastema? In other fields, the thorough characterization of a reference model has greatly facilitated these comparisons. For example, the amphibian Spemann-Mangold organizer has served as an amazingly useful comparative template within the field of developmental biology, allowing researchers to draw analogies between distantly related species, and developmental processes which are superficially quite different. The salamander limb blastema may serve as the best starting point for a comparative analysis of regeneration, as it has been characterized by over 200 years of research and is supported by a growing arsenal of molecular tools. The anatomical and evolutionary closeness of the salamander and human limb also add value from a translational and therapeutic standpoint. Tracing the evolutionary origins of the salamander blastema, and its relatedness to other regenerative processes throughout the animal kingdom, will both enhance our basic biological understanding of regeneration and inform our selection of regenerative model systems.
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Affiliation(s)
| | | | - Jessica L. Whited
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, United States
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25
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Chessel A, De Crozé N, Molina MD, Taberner L, Dru P, Martin L, Lepage T. RAS-independent ERK activation by constitutively active KSR3 in non-chordate metazoa. Nat Commun 2023; 14:3970. [PMID: 37407549 DOI: 10.1038/s41467-023-39606-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 06/21/2023] [Indexed: 07/07/2023] Open
Abstract
During early development of the sea urchin embryo, activation of ERK signalling in mesodermal precursors is not triggered by extracellular RTK ligands but by a cell-autonomous, RAS-independent mechanism that was not understood. We discovered that in these cells, ERK signalling is activated through the transcriptional activation of a gene encoding a protein related to Kinase Suppressor of Ras, that we named KSR3. KSR3 belongs to a family of catalytically inactive allosteric activators of RAF. Phylogenetic analysis revealed that genes encoding kinase defective KSR3 proteins are present in most non-chordate metazoa but have been lost in flies and nematodes. We show that the structure of KSR3 factors resembles that of several oncogenic human RAF mutants and that KSR3 from echinoderms, cnidarians and hemichordates activate ERK signalling independently of RAS when overexpressed in cultured cells. Finally, we used the sequence of KSR3 factors to identify activating mutations of human B-RAF. These findings reveal key functions for this family of factors as activators of RAF in RAS-independent ERK signalling in invertebrates. They have implications on the evolution of the ERK signalling pathway and suggest a mechanism for its co-option in the course of evolution.
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Affiliation(s)
- Aline Chessel
- Institut de Biologie Valrose CNRS, Université Côte d'Azur, Nice, France
| | - Noémie De Crozé
- Institut de Biologie Valrose CNRS, Université Côte d'Azur, Nice, France
| | - Maria Dolores Molina
- Department of Genetics, Microbiology and Statistics, Faculty of Biology, University of Barcelona, Barcelona, Catalonia, Spain
| | - Laura Taberner
- Institut de Biologie Valrose CNRS, Université Côte d'Azur, Nice, France
| | - Philippe Dru
- CNRS, Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Institut de la Mer de Villefranche, 181 Chemin du Lazaret, 06230, Villefranche-sur-Mer, France
| | - Luc Martin
- Institut de Biologie Valrose CNRS, Université Côte d'Azur, Nice, France
| | - Thierry Lepage
- Institut de Biologie Valrose CNRS, Université Côte d'Azur, Nice, France.
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26
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Skalnik CJ, Cheah SY, Yang MY, Wolff MB, Spangler RK, Talman L, Morrison JH, Peirce SM, Agmon E, Covert MW. Whole-cell modeling of E. coli colonies enables quantification of single-cell heterogeneity in antibiotic responses. PLoS Comput Biol 2023; 19:e1011232. [PMID: 37327241 DOI: 10.1371/journal.pcbi.1011232] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 06/01/2023] [Indexed: 06/18/2023] Open
Abstract
Antibiotic resistance poses mounting risks to human health, as current antibiotics are losing efficacy against increasingly resistant pathogenic bacteria. Of particular concern is the emergence of multidrug-resistant strains, which has been rapid among Gram-negative bacteria such as Escherichia coli. A large body of work has established that antibiotic resistance mechanisms depend on phenotypic heterogeneity, which may be mediated by stochastic expression of antibiotic resistance genes. The link between such molecular-level expression and the population levels that result is complex and multi-scale. Therefore, to better understand antibiotic resistance, what is needed are new mechanistic models that reflect single-cell phenotypic dynamics together with population-level heterogeneity, as an integrated whole. In this work, we sought to bridge single-cell and population-scale modeling by building upon our previous experience in "whole-cell" modeling, an approach which integrates mathematical and mechanistic descriptions of biological processes to recapitulate the experimentally observed behaviors of entire cells. To extend whole-cell modeling to the "whole-colony" scale, we embedded multiple instances of a whole-cell E. coli model within a model of a dynamic spatial environment, allowing us to run large, parallelized simulations on the cloud that contained all the molecular detail of the previous whole-cell model and many interactive effects of a colony growing in a shared environment. The resulting simulations were used to explore the response of E. coli to two antibiotics with different mechanisms of action, tetracycline and ampicillin, enabling us to identify sub-generationally-expressed genes, such as the beta-lactamase ampC, which contributed greatly to dramatic cellular differences in steady-state periplasmic ampicillin and was a significant factor in determining cell survival.
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Affiliation(s)
- Christopher J Skalnik
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Sean Y Cheah
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Mica Y Yang
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Mattheus B Wolff
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Ryan K Spangler
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Lee Talman
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America
| | - Jerry H Morrison
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
| | - Shayn M Peirce
- Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America
| | - Eran Agmon
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
- Center for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, Connecticut, United States of America
| | - Markus W Covert
- Department of Bioengineering, Stanford University, Stanford, California, United States of America
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27
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Choi J. Narrow funnel-like interaction energy distribution is an indicator of specific protein interaction partner. iScience 2023; 26:106911. [PMID: 37305691 PMCID: PMC10250834 DOI: 10.1016/j.isci.2023.106911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 04/28/2023] [Accepted: 05/12/2023] [Indexed: 06/13/2023] Open
Abstract
Protein interaction networks underlie countless biological mechanisms. However, most protein interaction predictions are based on biological evidence that are biased to well-known protein interaction or physical evidence that exhibits low accuracy for weak interactions and requires high computational power. In this study, a novel method has been suggested to predict protein interaction partners by investigating narrow funnel-like interaction energy distribution. In this study, it was demonstrated that various protein interactions including kinases and E3 ubiquitin ligases have narrow funnel-like interaction energy distribution. To analyze protein interaction distribution, modified scores of iRMS and TM-score are introduced. Then, using these scores, algorithm and deep learning model for prediction of protein interaction partner and substrate of kinase and E3 ubiquitin ligase were developed. The prediction accuracy was similar to or even better than that of yeast two-hybrid screening. Ultimately, this knowledge-free protein interaction prediction method will broaden our understanding of protein interaction networks.
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Affiliation(s)
- Juyoung Choi
- Department of Life Science, Sogang University, Seoul 04017, South Korea
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28
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Kang H, Fitch JC, Varghese RP, Thorne CA, Cusanovich DA. SGRN: A Cas12a-driven Synthetic Gene Regulatory Network System. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.08.539911. [PMID: 37214915 PMCID: PMC10197538 DOI: 10.1101/2023.05.08.539911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Gene regulatory networks, which control gene expression patterns in development and in response to stimuli, use regulatory logic modules to coordinate inputs and outputs. One example of a regulatory logic module is the gene regulatory cascade (GRC), where a series of transcription factor genes turn on in order. Synthetic biologists have derived artificial systems that encode regulatory rules, including GRCs. Furthermore, the development of single-cell approaches has enabled the discovery of gene regulatory modules in a variety of experimental settings. However, the tools available for validating these observations remain limited. Based on a synthetic GRC using DNA cutting-defective Cas9 (dCas9), we designed and implemented an alternative synthetic GRC utilizing DNA cutting-defective Cas12a (dCas12a). Comparing the ability of these two systems to express a fluorescent reporter, the dCas9 system was initially more active, while the dCas12a system was more streamlined. Investigating the influence of individual components of the systems identified nuclear localization as a major driver of differences in activity. Improving nuclear localization for the dCas12a system resulted in 1.5-fold more reporter-positive cells and a 15-fold increase in reporter intensity relative to the dCas9 system. We call this optimized system the "Synthetic Gene Regulatory Network" (SGRN, pronounced "sojourn").
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Affiliation(s)
- HyunJin Kang
- Asthma and Airway Disease Research Center (ADRC), University of Arizona, Tucson, AZ
| | - John C Fitch
- Flow Cytometry Shared Resource, University of Arizona, Tucson, AZ
| | - Reeba P Varghese
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ
- Cancer Biology Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ
| | - Curtis A Thorne
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ
- Cancer Biology Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ
| | - Darren A Cusanovich
- Asthma and Airway Disease Research Center (ADRC), University of Arizona, Tucson, AZ
- Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ
- Cancer Biology Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ
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29
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Liu X, Yan R, Liu H, Zhang S, Wang R, Zhang B, Sun L. Genome-Wide Expression Analysis of Long Noncoding RNAs and Their Target Genes in Metafemale Drosophila. Int J Mol Sci 2023; 24:ijms24098381. [PMID: 37176087 PMCID: PMC10179461 DOI: 10.3390/ijms24098381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Aneuploidy is usually more detrimental than altered ploidy of the entire set of chromosomes. To explore the regulatory mechanism of gene expression in aneuploidy, we analyzed the transcriptome sequencing data of metafemale Drosophila. The results showed that most genes on the X chromosome undergo dosage compensation, while the genes on the autosomal chromosomes mainly present inverse dosage effects. Furthermore, long noncoding RNAs (lncRNAs) have been identified as key regulators of gene expression, and they are more sensitive to dosage changes than mRNAs. We analyzed differentially expressed mRNAs (DEGs) and differentially expressed lncRNAs (DELs) in metafemale Drosophila and performed functional enrichment analyses of DEGs and the target genes of DELs, and we found that they are involved in several important biological processes. By constructing lncRNA-mRNA interaction networks and calculating the maximal clique centrality (MCC) value of each node in the network, we also identified two key candidate lncRNAs (CR43940 and CR42765), and two of their target genes, Sin3A and MED1, were identified as inverse dosage modulators. These results suggest that lncRNAs play an important role in the regulation of genomic imbalances. This study may deepen the understanding of the gene expression regulatory mechanisms in aneuploidy from the perspective of lncRNAs.
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Affiliation(s)
- Xinyu Liu
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Ran Yan
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Haosheng Liu
- State Key Laboratory of Earth Surface Process and Resource Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Shuai Zhang
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Ruixue Wang
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Bowen Zhang
- State Key Laboratory of Earth Surface Process and Resource Ecology, College of Life Sciences, Beijing Normal University, Beijing 100875, China
- Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Lin Sun
- Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Science, Beijing Normal University, Beijing 100875, China
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30
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Striker SS, Wilferd SF, Lewis EM, O'Connor SA, Plaisier CL. Systematic integration of protein-affecting mutations, gene fusions, and copy number alterations into a comprehensive somatic mutational profile. CELL REPORTS METHODS 2023; 3:100442. [PMID: 37159661 PMCID: PMC10162952 DOI: 10.1016/j.crmeth.2023.100442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 12/21/2022] [Accepted: 03/10/2023] [Indexed: 05/11/2023]
Abstract
Somatic mutations occur as random genetic changes in genes through protein-affecting mutations (PAMs), gene fusions, or copy number alterations (CNAs). Mutations of different types can have a similar phenotypic effect (i.e., allelic heterogeneity) and should be integrated into a unified gene mutation profile. We developed OncoMerge to fill this niche of integrating somatic mutations to capture allelic heterogeneity, assign a function to mutations, and overcome known obstacles in cancer genetics. Application of OncoMerge to TCGA Pan-Cancer Atlas increased detection of somatically mutated genes and improved the prediction of the somatic mutation role as either activating or loss of function. Using integrated somatic mutation matrices increased the power to infer gene regulatory networks and uncovered the enrichment of switch-like feedback motifs and delay-inducing feedforward loops. These studies demonstrate that OncoMerge efficiently integrates PAMs, fusions, and CNAs and strengthens downstream analyses linking somatic mutations to cancer phenotypes.
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Affiliation(s)
- Shawn S. Striker
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Sierra F. Wilferd
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Erika M. Lewis
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Samantha A. O'Connor
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
| | - Christopher L. Plaisier
- School of Biological and Health Systems Engineering, Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287-9709, USA
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31
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Marlétaz F, Couloux A, Poulain J, Labadie K, Da Silva C, Mangenot S, Noel B, Poustka AJ, Dru P, Pegueroles C, Borra M, Lowe EK, Lhomond G, Besnardeau L, Le Gras S, Ye T, Gavriouchkina D, Russo R, Costa C, Zito F, Anello L, Nicosia A, Ragusa MA, Pascual M, Molina MD, Chessel A, Di Carlo M, Turon X, Copley RR, Exposito JY, Martinez P, Cavalieri V, Ben Tabou de Leon S, Croce J, Oliveri P, Matranga V, Di Bernardo M, Morales J, Cormier P, Geneviève AM, Aury JM, Barbe V, Wincker P, Arnone MI, Gache C, Lepage T. Analysis of the P. lividus sea urchin genome highlights contrasting trends of genomic and regulatory evolution in deuterostomes. CELL GENOMICS 2023; 3:100295. [PMID: 37082140 PMCID: PMC10112332 DOI: 10.1016/j.xgen.2023.100295] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 12/24/2022] [Accepted: 03/06/2023] [Indexed: 04/22/2023]
Abstract
Sea urchins are emblematic models in developmental biology and display several characteristics that set them apart from other deuterostomes. To uncover the genomic cues that may underlie these specificities, we generated a chromosome-scale genome assembly for the sea urchin Paracentrotus lividus and an extensive gene expression and epigenetic profiles of its embryonic development. We found that, unlike vertebrates, sea urchins retained ancestral chromosomal linkages but underwent very fast intrachromosomal gene order mixing. We identified a burst of gene duplication in the echinoid lineage and showed that some of these expanded genes have been recruited in novel structures (water vascular system, Aristotle's lantern, and skeletogenic micromere lineage). Finally, we identified gene-regulatory modules conserved between sea urchins and chordates. Our results suggest that gene-regulatory networks controlling development can be conserved despite extensive gene order rearrangement.
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Affiliation(s)
- Ferdinand Marlétaz
- Center for Life’s Origin & Evolution, Department of Genetics, Evolution, & Environment, University College London, WC1 6BT London, UK
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
- Genoscope, Institut de Biologie François-Jacob, Commissariat à l’Énergie Atomique (CEA), Université Paris-Saclay, Évry, France
| | - Arnaud Couloux
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Julie Poulain
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Karine Labadie
- Genoscope, Institut de Biologie François-Jacob, Commissariat à l’Énergie Atomique (CEA), Université Paris-Saclay, Évry, France
| | - Corinne Da Silva
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Sophie Mangenot
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Benjamin Noel
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Albert J. Poustka
- Evolution and Development Group, Max-Planck-Institut für Molekulare Genetik, 14195 Berlin, Germany
- Dahlem Center for Genome Research and Medical Systems Biology (Environmental and Phylogenomics Group), 12489 Berlin, Germany
| | - Philippe Dru
- Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Sorbonne Université, CNRS, 06230 Villefranche-sur-Mer, France
| | - Cinta Pegueroles
- Institute for Research on Biodiversity (IRBio), Department of Genetics, Microbiology, and Statistics, University of Barcelona, 08028 Barcelona, Spain
| | - Marco Borra
- Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - Elijah K. Lowe
- Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - Guy Lhomond
- Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Sorbonne Université, CNRS, 06230 Villefranche-sur-Mer, France
| | - Lydia Besnardeau
- Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Sorbonne Université, CNRS, 06230 Villefranche-sur-Mer, France
| | - Stéphanie Le Gras
- Plateforme GenomEast, IGBMC, CNRS UMR7104, INSERM U1258, Université de Strasbourg, 67404 Illirch Cedex, France
| | - Tao Ye
- Plateforme GenomEast, IGBMC, CNRS UMR7104, INSERM U1258, Université de Strasbourg, 67404 Illirch Cedex, France
| | - Daria Gavriouchkina
- Molecular Genetics Unit, Okinawa Institute of Science and Technology, 904-0495 Onna-son, Japan
| | - Roberta Russo
- Consiglio Nazionale delle Ricerche, Istituto per la Ricerca e l’Innovazione Biomedica (IRIB), 90146 Palermo, Italy
| | - Caterina Costa
- Consiglio Nazionale delle Ricerche, Istituto per la Ricerca e l’Innovazione Biomedica (IRIB), 90146 Palermo, Italy
| | - Francesca Zito
- Consiglio Nazionale delle Ricerche, Istituto per la Ricerca e l’Innovazione Biomedica (IRIB), 90146 Palermo, Italy
| | - Letizia Anello
- Consiglio Nazionale delle Ricerche, Istituto per la Ricerca e l’Innovazione Biomedica (IRIB), 90146 Palermo, Italy
| | - Aldo Nicosia
- Consiglio Nazionale delle Ricerche, Istituto per la Ricerca e l’Innovazione Biomedica (IRIB), 90146 Palermo, Italy
| | - Maria Antonietta Ragusa
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, 90128 Palermo, Italy
| | - Marta Pascual
- Institute for Research on Biodiversity (IRBio), Department of Genetics, Microbiology, and Statistics, University of Barcelona, 08028 Barcelona, Spain
| | - M. Dolores Molina
- Departament de Genètica, Microbiologia, i Estadística, Universitat de Barcelona, 08028 Barcelona, Spain
- Institut Biology Valrose, Université Côte d’Azur, 06108 Nice Cedex 2, France
| | - Aline Chessel
- Institut Biology Valrose, Université Côte d’Azur, 06108 Nice Cedex 2, France
| | - Marta Di Carlo
- Institute for Biomedical Research and Innovation (CNR), 90146 Palermo, Italy
| | - Xavier Turon
- Department of Marine Ecology, Centre d’Estudis Avançats de Blanes (CEAB, CSIC), 17300 Blanes, Spain
| | - Richard R. Copley
- Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Sorbonne Université, CNRS, 06230 Villefranche-sur-Mer, France
| | - Jean-Yves Exposito
- Laboratoire de Biologie Tissulaire et d’Ingénierie Thérapeutique (LBTI), UMR CNRS 5305, Institut de Biologie et Chimie des Protéines, Université Lyon 1, 69367 Lyon, France
| | - Pedro Martinez
- Departament de Genètica, Microbiologia, i Estadística, Universitat de Barcelona, 08028 Barcelona, Spain
- Institut Català de Recerca i Estudis Avançats (ICREA), 08028 Barcelona, Spain
| | - Vincenzo Cavalieri
- Department of Biological, Chemical and Pharmaceutical Sciences and Technologies, University of Palermo, 90128 Palermo, Italy
| | - Smadar Ben Tabou de Leon
- Department of Marine Biology, Charney School of Marine Sciences, University of Haifa, 31095 Haifa, Israel
| | - Jenifer Croce
- Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Sorbonne Université, CNRS, 06230 Villefranche-sur-Mer, France
| | - Paola Oliveri
- Center for Life’s Origin & Evolution, Department of Genetics, Evolution, & Environment, University College London, WC1 6BT London, UK
| | - Valeria Matranga
- Consiglio Nazionale delle Ricerche, Istituto per la Ricerca e l’Innovazione Biomedica (IRIB), 90146 Palermo, Italy
| | - Maria Di Bernardo
- Consiglio Nazionale delle Ricerche, Istituto di Farmacologia Traslazionale, 90146 Palermo, Italy
| | - Julia Morales
- Integrative Biology of Marine Models (LBI2M), Station Biologique de Roscoff, CNRS, Sorbonne Université, 29680 Roscoff, France
| | - Patrick Cormier
- Integrative Biology of Marine Models (LBI2M), Station Biologique de Roscoff, CNRS, Sorbonne Université, 29680 Roscoff, France
| | - Anne-Marie Geneviève
- Sorbonne Université, CNRS, Biologie Intégrative des Organismes Marins, BIOM, 66650 Banyuls/Mer, France
| | - Jean Marc Aury
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Valérie Barbe
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Patrick Wincker
- Génomique Métabolique, Genoscope, Institut de Biologie François Jacob, Commissariat à l’Énergie Atomique, CNRS, Université Évry, Université Paris-Saclay, 91057 Évry, France
| | - Maria Ina Arnone
- Biology and Evolution of Marine Organisms, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy
| | - Christian Gache
- Laboratoire de Biologie du Développement de Villefranche-sur-Mer (LBDV), Sorbonne Université, CNRS, 06230 Villefranche-sur-Mer, France
| | - Thierry Lepage
- Institut Biology Valrose, Université Côte d’Azur, 06108 Nice Cedex 2, France
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Pandey AK, Loscalzo J. Network medicine: an approach to complex kidney disease phenotypes. Nat Rev Nephrol 2023:10.1038/s41581-023-00705-0. [PMID: 37041415 DOI: 10.1038/s41581-023-00705-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/13/2023] [Indexed: 04/13/2023]
Abstract
Scientific reductionism has been the basis of disease classification and understanding for more than a century. However, the reductionist approach of characterizing diseases from a limited set of clinical observations and laboratory evaluations has proven insufficient in the face of an exponential growth in data generated from transcriptomics, proteomics, metabolomics and deep phenotyping. A new systematic method is necessary to organize these datasets and build new definitions of what constitutes a disease that incorporates both biological and environmental factors to more precisely describe the ever-growing complexity of phenotypes and their underlying molecular determinants. Network medicine provides such a conceptual framework to bridge these vast quantities of data while providing an individualized understanding of disease. The modern application of network medicine principles is yielding new insights into the pathobiology of chronic kidney diseases and renovascular disorders by expanding the understanding of pathogenic mediators, novel biomarkers and new options for renal therapeutics. These efforts affirm network medicine as a robust paradigm for elucidating new advances in the diagnosis and treatment of kidney disorders.
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Affiliation(s)
- Arvind K Pandey
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - Joseph Loscalzo
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
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Qiu C, Martin BK, Welsh IC, Daza RM, Le TM, Huang X, Nichols EK, Taylor ML, Fulton O, O’Day DR, Gomes AR, Ilcisin S, Srivatsan S, Deng X, Disteche CM, Noble WS, Hamazaki N, Moens CB, Kimelman D, Cao J, Schier AF, Spielmann M, Murray SA, Trapnell C, Shendure J. A single-cell transcriptional timelapse of mouse embryonic development, from gastrula to pup. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.05.535726. [PMID: 37066300 PMCID: PMC10104014 DOI: 10.1101/2023.04.05.535726] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
The house mouse, Mus musculus, is an exceptional model system, combining genetic tractability with close homology to human biology. Gestation in mouse development lasts just under three weeks, a period during which its genome orchestrates the astonishing transformation of a single cell zygote into a free-living pup composed of >500 million cells. Towards a global framework for exploring mammalian development, we applied single cell combinatorial indexing (sci-*) to profile the transcriptional states of 12.4 million nuclei from 83 precisely staged embryos spanning late gastrulation (embryonic day 8 or E8) to birth (postnatal day 0 or P0), with 2-hr temporal resolution during somitogenesis, 6-hr resolution through to birth, and 20-min resolution during the immediate postpartum period. From these data (E8 to P0), we annotate dozens of trajectories and hundreds of cell types and perform deeper analyses of the unfolding of the posterior embryo during somitogenesis as well as the ontogenesis of the kidney, mesenchyme, retina, and early neurons. Finally, we leverage the depth and temporal resolution of these whole embryo snapshots, together with other published data, to construct and curate a rooted tree of cell type relationships that spans mouse development from zygote to pup. Throughout this tree, we systematically nominate sets of transcription factors (TFs) and other genes as candidate drivers of the in vivo differentiation of hundreds of mammalian cell types. Remarkably, the most dramatic shifts in transcriptional state are observed in a restricted set of cell types in the hours immediately following birth, and presumably underlie the massive changes in physiology that must accompany the successful transition of a placental mammal to extrauterine life.
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Affiliation(s)
- Chengxiang Qiu
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Beth K. Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Riza M. Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Truc-Mai Le
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Xingfan Huang
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Eva K. Nichols
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Megan L. Taylor
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Olivia Fulton
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Diana R. O’Day
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | | | - Saskia Ilcisin
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Sanjay Srivatsan
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Medical Scientist Training Program, University of Washington, Seattle, WA, USA
| | - Xinxian Deng
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Christine M. Disteche
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - William Stafford Noble
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA, USA
| | - Nobuhiko Hamazaki
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
| | - Cecilia B. Moens
- Division of Basic Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - David Kimelman
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Department of Biochemistry, University of Washington, Seattle, WA, USA
| | - Junyue Cao
- Laboratory of Single-cell genomics and Population dynamics, The Rockefeller University, New York, NY, USA
| | - Alexander F. Schier
- Biozentrum, University of Basel, Basel, Switzerland
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Malte Spielmann
- Max Planck Institute for Molecular Genetics, Berlin, Germany
- Institute of Human Genetics, University Hospitals Schleswig-Holstein, University of Lübeck and Kiel University, Lübeck, Kiel, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Hamburg, Lübeck, Kiel, Lübeck, Germany
| | | | - Cole Trapnell
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA
- Howard Hughes Medical Institute, Seattle, WA, USA
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34
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Li Z, Wang J, Willner B, Willner I. Topologically Triggered Dynamic DNA Frameworks. Isr J Chem 2023. [DOI: 10.1002/ijch.202300013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Affiliation(s)
- Zhenzhen Li
- The Institute of Chemistry The Center for Nanoscience and Nanotechnology The Hebrew University of Jerusalem Jerusalem 91904 Israel
| | - Jianbang Wang
- The Institute of Chemistry The Center for Nanoscience and Nanotechnology The Hebrew University of Jerusalem Jerusalem 91904 Israel
| | - Bilha Willner
- The Institute of Chemistry The Center for Nanoscience and Nanotechnology The Hebrew University of Jerusalem Jerusalem 91904 Israel
| | - Itamar Willner
- The Institute of Chemistry The Center for Nanoscience and Nanotechnology The Hebrew University of Jerusalem Jerusalem 91904 Israel
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Spurrell M, Oulhen N, Foster S, Perillo M, Wessel G. Gene regulatory divergence amongst echinoderms underlies appearance of pigment cells in sea urchin development. Dev Biol 2023; 494:13-25. [PMID: 36519720 PMCID: PMC9870932 DOI: 10.1016/j.ydbio.2022.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 09/14/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022]
Abstract
Larvae of the sea urchin, Strongylocentrotus purpuratus, have pigmented migratory cells implicated in immune defense and gut patterning. The transcription factor SpGcm activates the expression of many pigment cell-specific genes, including those involved in pigment biosynthesis (SpPks1 and SpFmo3) and immune related genes (e.g. SpMif5). Despite the importance of this cell type in sea urchins, pigmented cells are absent in larvae of the sea star, Patiria miniata. In this study, we tested the premises that sea stars lack genes to synthesize echinochrome pigment, that the genes are present but are not expressed in the larvae, or rather that the homologous gene expression does not contribute to echinochrome synthesis. Our results show that orthologs of sea urchin pigment cell-specific genes (PmPks1, PmFmo3-1 and PmMifL1-2) are present in the sea star genome and expressed in the larvae. Although no cell lineage homologous to migratory sea urchin pigment cells is present, dynamic gene activation accomplishes a similar spatial and temporal expression profile. The mechanisms regulating the expression of these genes, though, is highly divergent. In sea stars, PmGcm lacks the central role in pigment gene expression since it is not expressed in PmPks1 and PmFmo3-1-positive cells, and knockdown of Gcm does not abrogate pigment gene expression. Pigment genes are instead expressed in the coelomic mesoderm early in development before later being expressed in the ectoderm. These findings were supported by in situ RNA hybridization and comparative scRNA-seq analyses. We conclude that simply the coexpression of Pks1 and Fmo3 orthologs in cells of the sea star is not sufficient to underlie the emergence of the larval pigment cell in the sea urchin.
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Affiliation(s)
- Maxwell Spurrell
- Brown University, Department of Molecular Biology, Cell Biology & Biochemistry, Providence, RI, USA
| | - Nathalie Oulhen
- Brown University, Department of Molecular Biology, Cell Biology & Biochemistry, Providence, RI, USA
| | - Stephany Foster
- Brown University, Department of Molecular Biology, Cell Biology & Biochemistry, Providence, RI, USA
| | - Margherita Perillo
- Brown University, Department of Molecular Biology, Cell Biology & Biochemistry, Providence, RI, USA
| | - Gary Wessel
- Brown University, Department of Molecular Biology, Cell Biology & Biochemistry, Providence, RI, USA.
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36
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An oracle predicts regulators of cell identity. Nature 2023; 614:630-632. [PMID: 36755144 DOI: 10.1038/d41586-023-00251-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2023]
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Shin B, Rothenberg EV. Multi-modular structure of the gene regulatory network for specification and commitment of murine T cells. Front Immunol 2023; 14:1108368. [PMID: 36817475 PMCID: PMC9928580 DOI: 10.3389/fimmu.2023.1108368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 01/11/2023] [Indexed: 02/04/2023] Open
Abstract
T cells develop from multipotent progenitors by a gradual process dependent on intrathymic Notch signaling and coupled with extensive proliferation. The stages leading them to T-cell lineage commitment are well characterized by single-cell and bulk RNA analyses of sorted populations and by direct measurements of precursor-product relationships. This process depends not only on Notch signaling but also on multiple transcription factors, some associated with stemness and multipotency, some with alternative lineages, and others associated with T-cell fate. These factors interact in opposing or semi-independent T cell gene regulatory network (GRN) subcircuits that are increasingly well defined. A newly comprehensive picture of this network has emerged. Importantly, because key factors in the GRN can bind to markedly different genomic sites at one stage than they do at other stages, the genes they significantly regulate are also stage-specific. Global transcriptome analyses of perturbations have revealed an underlying modular structure to the T-cell commitment GRN, separating decisions to lose "stem-ness" from decisions to block alternative fates. Finally, the updated network sheds light on the intimate relationship between the T-cell program, which depends on the thymus, and the innate lymphoid cell (ILC) program, which does not.
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Affiliation(s)
- Boyoung Shin
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
| | - Ellen V. Rothenberg
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, United States
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Devens HR, Davidson PL, Byrne M, Wray GA. Hybrid epigenomes reveal extensive local genetic changes to chromatin accessibility contribute to divergence in embryonic gene expression between species. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.04.522781. [PMID: 36711588 PMCID: PMC9881966 DOI: 10.1101/2023.01.04.522781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Chromatin accessibility plays an important role in shaping gene expression patterns across development and evolution; however, little is known about the genetic and molecular mechanisms that influence chromatin configuration itself. Because cis and trans influences can both theoretically influence the accessibility of the epigenome, we sought to better characterize the role that both of these mechanisms play in altering chromatin accessibility in two closely related sea urchin species. Using hybrids of the two species, and adapting a statistical framework previously developed for the analysis of cis and trans influences on the transcriptome, we examined how these mechanisms shape the regulatory landscape at three important developmental stages, and compared our results to similar patterns in the transcriptome. We found extensive cis- and trans-based influences on evolutionary changes in chromatin, with cis effects slightly more numerous and larger in effect. Genetic mechanisms influencing gene expression and chromatin configuration are correlated, but differ in several important ways. Maternal influences also appear to have more of an effect on chromatin accessibility than on gene expression, persisting well past the maternal-to-zygotic transition. Furthermore, chromatin accessibility near GRN genes appears to be regulated differently than the rest of the epigenome, and indicates that trans factors may play an outsized role in the configuration of chromatin near these genes. Together, our results represent the first attempt to quantify cis and trans influences on evolutionary divergence in chromatin configuration in an outbred natural study system, and suggest that the regulation of chromatin is more genetically complex than was previously appreciated.
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Affiliation(s)
| | | | - Maria Byrne
- School of Medical Science, The University of Sydney, NSW 2006, Australia
- School of Life and Environmental Science, The University of Sydney, NSW 2006, Australia
| | - Gregory A. Wray
- Department of Biology, Duke University, Durham, NC 27708, USA
- Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA
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Laureano AS, Flaherty K, Hinman AM, Jadali A, Nakamura T, Higashijima SI, Sabaawy HE, Kwan KY. shox2 is required for vestibular statoacoustic neuron development. Biol Open 2023; 11:286143. [PMID: 36594417 PMCID: PMC9838637 DOI: 10.1242/bio.059599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/22/2022] [Indexed: 01/04/2023] Open
Abstract
Homeobox genes act at the top of genetic hierarchies to regulate cell specification and differentiation during embryonic development. We identified the short stature homeobox domain 2 (shox2) transcription factor that is required for vestibular neuron development. shox2 transcripts are initially localized to the otic placode of the developing inner ear where neurosensory progenitors reside. To study shox2 function, we generated CRISPR-mediated mutant shox2 fish. Mutant embryos display behaviors associated with vestibular deficits and showed reduced number of anterior statoacoustic ganglion neurons that innervate the utricle, the vestibular organ in zebrafish. Moreover, a shox2-reporter fish showed labeling of developing statoacoustic ganglion neurons in the anterior macula of the otic vesicle. Single cell RNA-sequencing of cells from the developing otic vesicle of shox2 mutants revealed altered otic progenitor profiles, while single molecule in situ assays showed deregulated levels of transcripts in developing neurons. This study implicates a role for shox2 in development of vestibular but not auditory statoacoustic ganglion neurons.
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Affiliation(s)
- Alejandra S. Laureano
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ 08854, USA,Stem Cell Research Center and Keck Center for Collaborative Neuroscience, Rutgers University, NJ 08854, USA
| | - Kathleen Flaherty
- Department of Comparative Medicine Resources, Rutgers University, Piscataway, NJ 08854, USA
| | - Anna-Maria Hinman
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ 08854, USA,Stem Cell Research Center and Keck Center for Collaborative Neuroscience, Rutgers University, NJ 08854, USA
| | - Azadeh Jadali
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ 08854, USA,Stem Cell Research Center and Keck Center for Collaborative Neuroscience, Rutgers University, NJ 08854, USA
| | - Tetsuya Nakamura
- Department of Genetics, Rutgers University, Piscataway, NJ 08854, USA
| | - Shin-ichi Higashijima
- Institutes of Natural Sciences, Exploratory Research Center on Life and Living Systems, Okazaki, Aichi 444-8787, Japan
| | - Hatim E. Sabaawy
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA,Department of Medicine RBHS-Robert Wood Johnson Medical School, Rutgers University, Piscataway, NJ 08854, USA
| | - Kelvin Y. Kwan
- Department of Cell Biology & Neuroscience, Rutgers University, Piscataway, NJ 08854, USA,Stem Cell Research Center and Keck Center for Collaborative Neuroscience, Rutgers University, NJ 08854, USA,Author for correspondence ()
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40
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Skvortsova K, Bertrand S, Voronov D, Duckett PE, Ross SE, Magri MS, Maeso I, Weatheritt RJ, Gómez Skarmeta JL, Arnone MI, Escriva H, Bogdanovic O. Active DNA demethylation of developmental cis-regulatory regions predates vertebrate origins. SCIENCE ADVANCES 2022; 8:eabn2258. [PMID: 36459547 PMCID: PMC10936051 DOI: 10.1126/sciadv.abn2258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 10/19/2022] [Indexed: 06/17/2023]
Abstract
DNA methylation [5-methylcytosine (5mC)] is a repressive gene-regulatory mark required for vertebrate embryogenesis. Genomic 5mC is tightly regulated through the action of DNA methyltransferases, which deposit 5mC, and ten-eleven translocation (TET) enzymes, which participate in its active removal through the formation of 5-hydroxymethylcytosine (5hmC). TET enzymes are essential for mammalian gastrulation and activation of vertebrate developmental enhancers; however, to date, a clear picture of 5hmC function, abundance, and genomic distribution in nonvertebrate lineages is lacking. By using base-resolution 5mC and 5hmC quantification during sea urchin and lancelet embryogenesis, we shed light on the roles of nonvertebrate 5hmC and TET enzymes. We find that these invertebrate deuterostomes use TET enzymes for targeted demethylation of regulatory regions associated with developmental genes and show that the complement of identified 5hmC-regulated genes is conserved to vertebrates. This work demonstrates that active 5mC removal from regulatory regions is a common feature of deuterostome embryogenesis suggestive of an unexpected deep conservation of a major gene-regulatory module.
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Affiliation(s)
- Ksenia Skvortsova
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Stephanie Bertrand
- Sorbonne Université, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, Banyuls-sur-Mer, France
| | - Danila Voronov
- Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn, Naples, Italy
| | - Paul E. Duckett
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, Australia
| | - Samuel E. Ross
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, Australia
- St. Vincent’s Clinical School, Faculty of Medicine, University of New South Wales, Sydney, Australia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney 22, Australia
| | - Marta Silvia Magri
- Centro Andaluz de Biología del Desarrollo, CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Ignacio Maeso
- Centro Andaluz de Biología del Desarrollo, CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Robert J. Weatheritt
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, Australia
- EMBL Australia, Garvan Institute of Medical Research, Sydney, Australia
| | - Jose Luis Gómez Skarmeta
- Centro Andaluz de Biología del Desarrollo, CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
| | - Maria Ina Arnone
- Biology and Evolution of Marine Organisms (BEOM), Stazione Zoologica Anton Dohrn, Naples, Italy
| | - Hector Escriva
- Sorbonne Université, CNRS, Biologie Intégrative des Organismes Marins (BIOM), Observatoire Océanologique, Banyuls-sur-Mer, France
| | - Ozren Bogdanovic
- Genomics and Epigenetics Division, Garvan Institute of Medical Research, Sydney, Australia
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney 22, Australia
- Centro Andaluz de Biología del Desarrollo, CSIC-Universidad Pablo de Olavide-Junta de Andalucía, Seville, Spain
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41
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Gao F, Li C, Smith SM, Peinado N, Kohbodi G, Tran E, Loh YHE, Li W, Borok Z, Minoo P. Decoding the IGF1 signaling gene regulatory network behind alveologenesis from a mouse model of bronchopulmonary dysplasia. eLife 2022; 11:e77522. [PMID: 36214448 PMCID: PMC9581530 DOI: 10.7554/elife.77522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 10/07/2022] [Indexed: 11/13/2022] Open
Abstract
Lung development is precisely controlled by underlying gene regulatory networks (GRN). Disruption of genes in the network can interrupt normal development and cause diseases such as bronchopulmonary dysplasia (BPD) - a chronic lung disease in preterm infants with morbid and sometimes lethal consequences characterized by lung immaturity and reduced alveolarization. Here, we generated a transgenic mouse exhibiting a moderate severity BPD phenotype by blocking IGF1 signaling in secondary crest myofibroblasts (SCMF) at the onset of alveologenesis. Using approaches mirroring the construction of the model GRN in sea urchin's development, we constructed the IGF1 signaling network underlying alveologenesis using this mouse model that phenocopies BPD. The constructed GRN, consisting of 43 genes, provides a bird's eye view of how the genes downstream of IGF1 are regulatorily connected. The GRN also reveals a mechanistic interpretation of how the effects of IGF1 signaling are transduced within SCMF from its specification genes to its effector genes and then from SCMF to its neighboring alveolar epithelial cells with WNT5A and FGF10 signaling as the bridge. Consistently, blocking WNT5A signaling in mice phenocopies BPD as inferred by the network. A comparative study on human samples suggests that a GRN of similar components and wiring underlies human BPD. Our network view of alveologenesis is transforming our perspective to understand and treat BPD. This new perspective calls for the construction of the full signaling GRN underlying alveologenesis, upon which targeted therapies for this neonatal chronic lung disease can be viably developed.
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Affiliation(s)
- Feng Gao
- Division of Neonatology, Department of Pediatrics, University of Southern CaliforniaLos AngelesUnited States
| | - Changgong Li
- Division of Neonatology, Department of Pediatrics, University of Southern CaliforniaLos AngelesUnited States
| | - Susan M Smith
- Division of Neonatology, Department of Pediatrics, University of Southern CaliforniaLos AngelesUnited States
| | - Neil Peinado
- Division of Neonatology, Department of Pediatrics, University of Southern CaliforniaLos AngelesUnited States
| | - Golenaz Kohbodi
- Division of Neonatology, Department of Pediatrics, University of Southern CaliforniaLos AngelesUnited States
| | - Evelyn Tran
- Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
| | - Yong-Hwee Eddie Loh
- Norris Medical Library, University of Southern CaliforniaLos AngelesUnited States
| | - Wei Li
- Department of Nephrology, Jiangsu Provincial Hospital of Traditional Chinese MedicineNanjingChina
| | - Zea Borok
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of California, San DiegoSan DiegoUnited States
| | - Parviz Minoo
- Division of Neonatology, Department of Pediatrics, University of Southern CaliforniaLos AngelesUnited States
- Hastings Center for Pulmonary Research, Keck School of Medicine, University of Southern CaliforniaLos AngelesUnited States
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42
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Oulhen N, Pieplow C, Perillo M, Gregory P, Wessel GM. Optimizing CRISPR/Cas9-based gene manipulation in echinoderms. Dev Biol 2022; 490:117-124. [PMID: 35917936 DOI: 10.1016/j.ydbio.2022.07.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/11/2022] [Accepted: 07/14/2022] [Indexed: 12/26/2022]
Abstract
The impact of new technology can be appreciated by how broadly it is used. Investigators that previously relied only on pharmacological approaches or the use of morpholino antisense oligonucleotide (MASO) technologies are now able to apply CRISPR-Cas9 to study biological problems in their model organism of choice much more effectively. The transitions to new CRISPR-based approaches could be enhanced, first, by standardized protocols and education in their applications. Here we summarize our results for optimizing the CRISPR-Cas9 technology in a sea urchin and a sea star, and provide advice on how to set up CRISPR-Cas9 experiments and interpret the results in echinoderms. Our goal through these protocols and sharing examples of success by other labs is to lower the activation barrier so that more laboratories can apply CRISPR-Cas9 technologies in these important animals.
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Affiliation(s)
- Nathalie Oulhen
- MCB Department, Brown University, Providence, RI, 02906, USA
| | - Cosmo Pieplow
- MCB Department, Brown University, Providence, RI, 02906, USA
| | | | - Pauline Gregory
- MCB Department, Brown University, Providence, RI, 02906, USA
| | - Gary M Wessel
- MCB Department, Brown University, Providence, RI, 02906, USA.
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43
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An anti-inflammatory transcriptional cascade conserved from flies to humans. Cell Rep 2022; 41:111506. [DOI: 10.1016/j.celrep.2022.111506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/19/2022] [Accepted: 09/22/2022] [Indexed: 11/22/2022] Open
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44
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Ouyang Y, Zhang P, Willner I. Dynamic Catalysis Guided by Nucleic Acid Networks and DNA Nanostructures. Bioconjug Chem 2022; 34:51-69. [PMID: 35973134 PMCID: PMC9853509 DOI: 10.1021/acs.bioconjchem.2c00233] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Nucleic acid networks conjugated to native enzymes and supramolecular DNA nanostructures modified with enzymes or DNAzymes act as functional reaction modules for guiding dynamic catalytic transformations. These systems are exemplified with the assembly of constitutional dynamic networks (CDNs) composed of nucleic acid-functionalized enzymes, as constituents, undergoing triggered structural reconfiguration, leading to dynamically switched biocatalytic cascades. By coupling two nucleic acid/enzyme networks, the intercommunicated feedback-driven dynamic biocatalytic operation of the system is demonstrated. In addition, the tailoring of a nucleic acid/enzyme reaction network driving a dissipative, transient, biocatalytic cascade is introduced as a model system for out-of-equilibrium dynamically modulated biocatalytic transformation in nature. Also, supramolecular nucleic acid machines or DNA nanostructures, modified with DNAzyme or enzyme constituents, act as functional reaction modules driving temporal dynamic catalysis. The design of dynamic supramolecular machines is exemplified with the introduction of an interlocked two-ring catenane device that is dynamically reversibly switched between two states operating two different DNAzymes, and with the tailoring of a DNA-tweezers device functionalized with enzyme/DNAzyme constituents that guides the dynamic ON/OFF operation of a biocatalytic cascade by opening and closing the molecular device. In addition, DNA origami nanostructures provide functional scaffolds for the programmed positioning of enzymes or DNAzyme for the switchable operation of catalytic transformations. This is introduced by the tailored functionalization of the edges of origami tiles with nucleic acids guiding the switchable formation of DNAzyme catalysts through the dimerization/separation of the tiles. In addition, the programmed deposition of two-enzyme/cofactor constituents on the origami raft allowed the dynamic photochemical activation of the cofactor-mediated biocatalytic cascade on the spatially biocatalytic assembly on the scaffold. Furthermore, photoinduced "mechanical" switchable and reversible unlocking and closing of nanoholes in the origami frameworks allow the "ON" and "OFF" operation of DNAzyme units in the nanoholes, confined environments. The future challenges and potential applications of dynamic nucleic acid/enzyme and DNAzyme conjugates are discussed in the conclusion paragraph.
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Candido-Ferreira IL, Lukoseviciute M, Sauka-Spengler T. Multi-layered transcriptional control of cranial neural crest development. Semin Cell Dev Biol 2022; 138:1-14. [PMID: 35941042 DOI: 10.1016/j.semcdb.2022.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 07/23/2022] [Accepted: 07/23/2022] [Indexed: 11/28/2022]
Abstract
The neural crest (NC) is an emblematic population of embryonic stem-like cells with remarkable migratory ability. These distinctive attributes have inspired the curiosity of developmental biologists for over 150 years, however only recently the regulatory mechanisms controlling the complex features of the NC have started to become elucidated at genomic scales. Regulatory control of NC development is achieved through combinatorial transcription factor binding and recruitment of associated transcriptional complexes to distal cis-regulatory elements. Together, they regulate when, where and to what extent transcriptional programmes are actively deployed, ultimately shaping ontogenetic processes. Here, we discuss how transcriptional networks control NC ontogeny, with a special emphasis on the molecular mechanisms underlying specification of the cephalic NC. We also cover emerging properties of transcriptional regulation revealed in diverse developmental systems, such as the role of three-dimensional conformation of chromatin, and how they are involved in the regulation of NC ontogeny. Finally, we highlight how advances in deciphering the NC transcriptional network have afforded new insights into the molecular basis of human diseases.
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Affiliation(s)
- Ivan L Candido-Ferreira
- University of Oxford, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, Oxford OX3 9DS, UK
| | - Martyna Lukoseviciute
- University of Oxford, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, Oxford OX3 9DS, UK
| | - Tatjana Sauka-Spengler
- University of Oxford, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, Oxford OX3 9DS, UK.
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Cascaded dissipative DNAzyme-driven layered networks guide transient replication of coded-strands as gene models. Nat Commun 2022; 13:4414. [PMID: 35906232 PMCID: PMC9338015 DOI: 10.1038/s41467-022-32148-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 07/18/2022] [Indexed: 11/30/2022] Open
Abstract
Dynamic, transient, out-of-equilibrium networks guide cellular genetic, metabolic or signaling processes. Designing synthetic networks emulating natural processes imposes important challenges including the ordered connectivity of transient reaction modules, engineering of the appropriate balance between production and depletion of reaction constituents, and coupling of the reaction modules with emerging chemical functions dictated by the networks. Here we introduce the assembly of three coupled reaction modules executing a cascaded dynamic process leading to the transient formation and depletion of three different Mg2+-ion-dependent DNAzymes. The transient operation of the DNAzyme in one layer triggers the dynamic activation of the DNAzyme in the subsequent layer, leading to a three-layer transient catalytic cascade. The kinetics of the transient cascade is computationally simulated. The cascaded network is coupled to a polymerization/nicking DNA machinery guiding transient synthesis of three coded strands acting as “gene models”, and to the rolling circle polymerization machinery leading to the transient synthesis of fluorescent Zn(II)-PPIX/G-quadruplex chains or hemin/G-quadruplex catalytic wires. A reaction network executing a cascaded transient formation and depletion of three different catalytic strands is introduced. The system is coupled to the secondary temporal synthesis of different coded strands as gene models.
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Ewe CK, Sommermann EM, Kenchel J, Flowers SE, Maduro MF, Joshi PM, Rothman JH. Feedforward regulatory logic controls the specification-to-differentiation transition and terminal cell fate during Caenorhabditis elegans endoderm development. Development 2022; 149:dev200337. [PMID: 35758255 PMCID: PMC10656426 DOI: 10.1242/dev.200337] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/13/2022] [Indexed: 11/20/2023]
Abstract
The architecture of gene regulatory networks determines the specificity and fidelity of developmental outcomes. We report that the core regulatory circuitry for endoderm development in Caenorhabditis elegans operates through a transcriptional cascade consisting of six sequentially expressed GATA-type factors that act in a recursive series of interlocked feedforward modules. This structure results in sequential redundancy, in which removal of a single factor or multiple alternate factors in the cascade leads to a mild or no effect on gut development, whereas elimination of any two sequential factors invariably causes a strong phenotype. The phenotypic strength is successfully predicted with a computational model based on the timing and levels of transcriptional states. We found that one factor in the middle of the cascade, END-1, which straddles the distinct events of specification and differentiation, functions in both processes. Finally, we reveal roles for key GATA factors in establishing spatial regulatory state domains by repressing other fates, thereby defining boundaries in the digestive tract. Our findings provide a paradigm that could account for the genetic redundancy observed in many developmental regulatory systems.
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Affiliation(s)
- Chee Kiang Ewe
- Department of MCD Biology and Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Erica M. Sommermann
- Department of MCD Biology and Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Josh Kenchel
- Program in Biomolecular Science and Engineering, University of California Santa Barbara, Santa Barbara, CA 93106, USA
- Chemical and Biomolecular Engineering Department, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Sagen E. Flowers
- Department of MCD Biology and Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Morris F. Maduro
- Molecular, Cell and Systems Biology Department, University of California Riverside, Riverside, CA 92521, USA
| | - Pradeep M. Joshi
- Department of MCD Biology and Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA
| | - Joel H. Rothman
- Department of MCD Biology and Neuroscience Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA
- Program in Biomolecular Science and Engineering, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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Day TC, Márquez-Zacarías P, Bravo P, Pokhrel AR, MacGillivray KA, Ratcliff WC, Yunker PJ. Varied solutions to multicellularity: The biophysical and evolutionary consequences of diverse intercellular bonds. BIOPHYSICS REVIEWS 2022; 3:021305. [PMID: 35673523 PMCID: PMC9164275 DOI: 10.1063/5.0080845] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/29/2022] [Indexed: 11/16/2022]
Abstract
The diversity of multicellular organisms is, in large part, due to the fact that multicellularity has independently evolved many times. Nonetheless, multicellular organisms all share a universal biophysical trait: cells are attached to each other. All mechanisms of cellular attachment belong to one of two broad classes; intercellular bonds are either reformable or they are not. Both classes of multicellular assembly are common in nature, having independently evolved dozens of times. In this review, we detail these varied mechanisms as they exist in multicellular organisms. We also discuss the evolutionary implications of different intercellular attachment mechanisms on nascent multicellular organisms. The type of intercellular bond present during early steps in the transition to multicellularity constrains future evolutionary and biophysical dynamics for the lineage, affecting the origin of multicellular life cycles, cell-cell communication, cellular differentiation, and multicellular morphogenesis. The types of intercellular bonds used by multicellular organisms may thus result in some of the most impactful historical constraints on the evolution of multicellularity.
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Affiliation(s)
- Thomas C. Day
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | | | | | - Aawaz R. Pokhrel
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | | | - William C. Ratcliff
- School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
| | - Peter J. Yunker
- School of Physics, Georgia Institute of Technology, Atlanta, Georgia 30332, USA
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Barela Hudgell MA, Smith LC. Lipofection mediated transfection fails for sea urchin coelomocytes. PLoS One 2022; 17:e0267911. [PMID: 35522665 PMCID: PMC9075664 DOI: 10.1371/journal.pone.0267911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 04/19/2022] [Indexed: 11/19/2022] Open
Abstract
Molecular cloning, gene manipulation, gene expression, protein function, and gene regulation all depend on the introduction of nucleic acids into target cells. Multiple methods have been developed to facilitate such delivery including instrument based microinjection and electroporation, biological methods such as transduction, and chemical methods such as calcium phosphate precipitation, cationic polymers, and lipid based transfection, also known as lipofection. Here we report attempts to lipofect sea urchin coelomocytes using DOTAP lipofection reagent packaged with a range of molecules including fluorochromes, in addition to expression constructs, amplicons, and RNA encoding GFP. DOTAP has low cytotoxicity for coelomocytes, however, lipofection of a variety of molecules fails to produce any signature of success based on results from fluorescence microscopy and flow cytometry. While these results are negative, it is important to report failed attempts so that others conducting similar research do not repeat these approaches. Failure may be the outcome of elevated ionic strength of the coelomocyte culture medium, uptake and degradation of lipoplexes in the endosomal-lysosomal system, failure of the nucleic acids to escape the endosomal vesicles and enter the cytoplasm, and difficulties in lipofecting primary cultures of phagocytic cells. We encourage others to build on this report by using our information to optimize lipofection with a range of other approaches to work towards establishing a successful method of transfecting adult cells from marine invertebrates.
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Affiliation(s)
- Megan A. Barela Hudgell
- Department of Biological Sciences, George Washington University, Washington, DC, United States of America
| | - L. Courtney Smith
- Department of Biological Sciences, George Washington University, Washington, DC, United States of America
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Meyer A, Hinman V. The arm of the starfish: The far-reaching applications of Patiria miniata as a model system in evolutionary, developmental, and regenerative biology. Curr Top Dev Biol 2022; 147:523-543. [PMID: 35337461 DOI: 10.1016/bs.ctdb.2022.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Many species of echinoderms have long been considered model research organisms in biology. Historically, much of this research has focused on the embryology of sea urchins and the use of their extensive gene regulatory networks as a tool to understand how the genome controls cell state specification and patterning. The establishment of Patiria miniata, the bat sea star, as a research organism has allowed us to expand on the concepts explored with sea urchins, viewing these genetic networks through a comparative lens, gaining great insight into the evolutionary mechanisms that shape developmental diversity. Extensive molecular tools have been developed in P. miniata, designed to explore gene expression dynamics and build gene regulatory networks. Echinoderms also have a robust set of bioinformatic and computational resources, centered around echinobase.org, an extensive database containing multiomic, developmental, and experimental resources for researchers. In addition to comparative evolutionary development, P. miniata is a promising system in its own right for studying whole body regeneration, metamorphosis and body plan development, as well as marine disease.
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Affiliation(s)
- Anne Meyer
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States
| | - Veronica Hinman
- Department of Biological Sciences, Carnegie Mellon University, Pittsburgh, PA, United States.
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