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  Linking imaging to omics utilizing image-guided tissue extraction

Disselhorst, J., Krueger, M., Ud-Dean, S., Bezrukov, I., Jarboui, M., Trautwein, C., et al. (2018). Linking imaging to omics utilizing image-guided tissue extraction. Proceedings of the National Academy of Sciences of the United States of America, 115(13), E2980-E2987. doi:10.1073/pnas.1718304115.

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Disselhorst, JA1, Author
Krueger, MA1, Author
Ud-Dean, SMM1, Author
Bezrukov, I, Author           
Jarboui, MA1, Author
Trautwein, C1, Author
Traube, A1, Author
Spindler, C1, Author
Cotton, JM1, Author
Leibfritz, D1, Author                 
Pichler, BJ1, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: Phenotypic heterogeneity is commonly observed in diseased tissue, specifically in tumors. Multimodal imaging technologies can reveal tissue heterogeneity noninvasively in vivo, enabling imaging-based profiling of receptors, metabolism, morphology, or function on a macroscopic scale. In contrast, in vitro multiomics, immunohistochemistry, or histology techniques accurately characterize these heterogeneities in the cellular and subcellular scales in a more comprehensive but ex vivo manner. The complementary in vivo and ex vivo information would provide an enormous potential to better characterize a disease. However, this requires spatially accurate coregistration of these data by image-driven sampling as well as fast sample-preparation methods. Here, a unique image-guided milling machine and workflow for precise extraction of tissue samples from small laboratory animals or excised organs has been developed and evaluated. The samples can be delineated on tomographic images as volumes of interest and can be extracted with a spatial accuracy better than 0.25 mm. The samples remain cooled throughout the procedure to ensure metabolic stability, a precondition for accurate in vitro analysis.

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Language(s): eng - English
 Dates: 2018-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.1718304115
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Acad. Sci. USA
  Other : Proc. Acad. Sci. U.S.A.
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : PNAS
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 115 (13) Sequence Number: - Start / End Page: E2980 - E2987 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230