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In vitro reconstitution of branching microtubule nucleation.

Ammarah Tariq | Lucy Green | J Charles G Jeynes | Christian Soeller | James G Wakefield
eLife | 2020

Eukaryotic cell division requires the mitotic spindle, a microtubule (MT)-based structure which accurately aligns and segregates duplicated chromosomes. The dynamics of spindle formation are determined primarily by correctly localising the MT nucleator, γ-Tubulin Ring Complex (γ-TuRC), within the cell. A conserved MT-associated protein complex, Augmin, recruits γ-TuRC to pre-existing spindle MTs, amplifying their number, in an essential cellular phenomenon termed 'branching' MT nucleation. Here, we purify endogenous, GFP-tagged Augmin and γ-TuRC from Drosophila embryos to near homogeneity using a novel one-step affinity technique. We demonstrate that, in vitro, while Augmin alone does not affect Tubulin polymerisation dynamics, it stimulates γ-TuRC-dependent MT nucleation in a cell cycle-dependent manner. We also assemble and visualise the MT-Augmin-γ-TuRC-MT junction using light microscopy. Our work therefore conclusively reconstitutes branching MT nucleation. It also provides a powerful synthetic approach with which to investigate the emergence of cellular phenomena, such as mitotic spindle formation, from component parts.

Pubmed ID: 31933481

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This is a list of tools and resources that we have found mentioned in this publication.


MATLAB (tool)

RRID:SCR_001622

Multi paradigm numerical computing environment and fourth generation programming language developed by MathWorks. Allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, Fortran and Python. Used to explore and visualize ideas and collaborate across disciplines including signal and image processing, communications, control systems, and computational finance.

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Fiji (tool)

RRID:SCR_002285

Software package as distribution of ImageJ and ImageJ2 together with Java, Java3D and plugins organized into coherent menu structure. Used to assist research in life sciences.

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Starlab (tool)

RRID:SCR_005551

Starlab''s mission is to transform science into technologies with a profound and positive impact on society. We achieve this by identifying social needs and the market opportunities they create. Then we reach to science and engineering to propose or provide technical solutions, products and services for governments, industry and downstream markets. Starlab Research carries out interdisciplinary R&D focusing on two areas: Space and Applied Neuroscience. Our vision is to make science more useful, alive, vibrant, faster. Our staff consists of a team of scientists, engineers and economists from different nationalities working together to provide our clients with breakthrough technologies that create business opportunities. The growing Starlab team (now more than 28 on staff) includes 5 nationalities spanning knowledge in physics, engineering, oceanography, computer science, neuroscience and economics. Circa 50% of our staff have a PhD, and more than 80% a Master or PhD. We target technology and applications: the development of new sensors and efficient algorithms to extract information from data, identification of platforms and deployment opportunities, as well as the development of services and products. Interdisciplinarity is a key aspect of our research. Space R&D develops payloads, algorithms and mission feasibility studies. We have demonstrated experience in GNSS technologies, radar altimetry and space astronomy. Earth Observation applications include technologies such as GNSS-R, SAR and multi-spectral analysis for environmental and energy applications. We have demonstrated expertise in the development of innovative sensors and systems in both the Space and Applied Neuroscience areas, signal-processing algorithms, with a strong specialization in electrophysiology algorithms, software and hardware. It will also manage the project and prospect potential commercial impact.

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Oregon-R(R) (tool)

RRID:DGGR_109612

Drosophila melanogaster with name Oregon-R(R) from DGGR.

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w[1118] (tool)

RRID:BDSC_3605

Drosophila melanogaster with name w[1118] from BDSC.

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Bloomington Drosophila Stock Center (biomaterial supply resource)

RRID:SCR_006457

Collects, maintains and distributes Drosophila melanogaster strains for research. Emphasis is placed on genetic tools that are useful to a broad range of investigations. These include basic stocks of flies used in genetic analysis such as marker, balancer, mapping, and transposon-tagging strains; mutant alleles of identified genes, including a large set of transposable element insertion alleles; defined sets of deficiencies and a variety of other chromosomal aberrations; engineered lines for somatic and germline clonal analysis; GAL4 and UAS lines for targeted gene expression; enhancer trap and lacZ-reporter strains with defined expression patterns for marking tissues; and a collection of transposon-induced lethal mutations.

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Bloomington Drosophila Stock Center (biomaterial supply resource)

RRID:SCR_006457

Collects, maintains and distributes Drosophila melanogaster strains for research. Emphasis is placed on genetic tools that are useful to a broad range of investigations. These include basic stocks of flies used in genetic analysis such as marker, balancer, mapping, and transposon-tagging strains; mutant alleles of identified genes, including a large set of transposable element insertion alleles; defined sets of deficiencies and a variety of other chromosomal aberrations; engineered lines for somatic and germline clonal analysis; GAL4 and UAS lines for targeted gene expression; enhancer trap and lacZ-reporter strains with defined expression patterns for marking tissues; and a collection of transposon-induced lethal mutations.

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