Methods in Molecular Biology Vol.664 Tissue Microarrays Methods and Protocols

Discussion in 'Tủ Sách Ngoại Văn' started by admin, Jan 24, 2016.

  1. admin

    admin Thư Viện Sách Việt Staff Member Quản Trị Viên

    [​IMG]
    The tissue microarray (TMA) method presents as a modern high technology, although its roots go back to the 80s when researchers frst started to combine several small pieces of tissues into so-called sausage blocks. In this respect, the TMA invention was not frstly characterized by technical improvements, but its true novelty was to link clinical data to the tissues that were combined on one slide. The very high number of tissues that can be included into one TMA, the small size and regular shape of the tissue spots, the preser- tion of integrity of the donor tissue blocks, and the highly organized array pattern that allows for reliable allocation of clinical data to individual tissue spots made it a discrete technique with unique features. When the TMA technology was developed 12 years ago, its beneft was controversially debated. While many researchers welcomed the method enthusiastically, there were c- cerns by others that results obtained from the small tissue cores used for TMA making would not be suffciently representative of the donor tissues. Meanwhile, the increasing use of this technology has imposingly demonstrated its tremendous utility in research. In fact, basically all clinically relevant associations between molecular markers and clinical endpoints could be reproduced using only one single 0. 6 mm core per tissue sample so that TMAs have nowadays become a standard tool allowing for a new dimension of tissue analysis.
    • Series: Methods in Molecular Biology (Book 664)
    • Hardcover: 193 pages
    • Publisher: Humana Press; 2010 edition
    • Language: English
    • ISBN-10: 1607618052
    • ISBN-13: 978-1607618058
    • Product Dimensions: 10.1 x 7.1 x 0.7 inches
    Link Download
    http://nitroflare.com/view/BC4D35089BFD731
    https://drive.google.com/drive/folders/1yLBzZ1rSQoNjmWeJTZ3WGQHg04L1
     
    Last edited: Nov 29, 2021

Share This Page