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PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing

Spatial mapping of genomic data to tissue context in a high-throughput and high-resolution manner has been challenging due to technical limitations. Here, we describe PHLI-seq, a novel approach that enables high-throughput isolation and genome-wide sequence analysis of single cells or small numbers...

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Autores principales: Kim, Sungsik, Lee, Amos Chungwon, Lee, Han-Byoel, Kim, Jinhyun, Jung, Yushin, Ryu, Han Suk, Lee, Yongju, Bae, Sangwook, Lee, Minju, Lee, Kyungmin, Kim, Ryong Nam, Park, Woong-Yang, Han, Wonshik, Kwon, Sunghoon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176506/
https://www.ncbi.nlm.nih.gov/pubmed/30296938
http://dx.doi.org/10.1186/s13059-018-1543-9
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author Kim, Sungsik
Lee, Amos Chungwon
Lee, Han-Byoel
Kim, Jinhyun
Jung, Yushin
Ryu, Han Suk
Lee, Yongju
Bae, Sangwook
Lee, Minju
Lee, Kyungmin
Kim, Ryong Nam
Park, Woong-Yang
Han, Wonshik
Kwon, Sunghoon
author_facet Kim, Sungsik
Lee, Amos Chungwon
Lee, Han-Byoel
Kim, Jinhyun
Jung, Yushin
Ryu, Han Suk
Lee, Yongju
Bae, Sangwook
Lee, Minju
Lee, Kyungmin
Kim, Ryong Nam
Park, Woong-Yang
Han, Wonshik
Kwon, Sunghoon
author_sort Kim, Sungsik
collection PubMed
description Spatial mapping of genomic data to tissue context in a high-throughput and high-resolution manner has been challenging due to technical limitations. Here, we describe PHLI-seq, a novel approach that enables high-throughput isolation and genome-wide sequence analysis of single cells or small numbers of cells to construct genomic maps within cancer tissue in relation to the images or phenotypes of the cells. By applying PHLI-seq, we reveal the heterogeneity of breast cancer tissues at a high resolution and map the genomic landscape of the cells to their corresponding spatial locations and phenotypes in the 3D tumor mass. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1543-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-61765062018-10-18 PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing Kim, Sungsik Lee, Amos Chungwon Lee, Han-Byoel Kim, Jinhyun Jung, Yushin Ryu, Han Suk Lee, Yongju Bae, Sangwook Lee, Minju Lee, Kyungmin Kim, Ryong Nam Park, Woong-Yang Han, Wonshik Kwon, Sunghoon Genome Biol Method Spatial mapping of genomic data to tissue context in a high-throughput and high-resolution manner has been challenging due to technical limitations. Here, we describe PHLI-seq, a novel approach that enables high-throughput isolation and genome-wide sequence analysis of single cells or small numbers of cells to construct genomic maps within cancer tissue in relation to the images or phenotypes of the cells. By applying PHLI-seq, we reveal the heterogeneity of breast cancer tissues at a high resolution and map the genomic landscape of the cells to their corresponding spatial locations and phenotypes in the 3D tumor mass. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-018-1543-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-08 /pmc/articles/PMC6176506/ /pubmed/30296938 http://dx.doi.org/10.1186/s13059-018-1543-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Method
Kim, Sungsik
Lee, Amos Chungwon
Lee, Han-Byoel
Kim, Jinhyun
Jung, Yushin
Ryu, Han Suk
Lee, Yongju
Bae, Sangwook
Lee, Minju
Lee, Kyungmin
Kim, Ryong Nam
Park, Woong-Yang
Han, Wonshik
Kwon, Sunghoon
PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
title PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
title_full PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
title_fullStr PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
title_full_unstemmed PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
title_short PHLI-seq: constructing and visualizing cancer genomic maps in 3D by phenotype-based high-throughput laser-aided isolation and sequencing
title_sort phli-seq: constructing and visualizing cancer genomic maps in 3d by phenotype-based high-throughput laser-aided isolation and sequencing
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176506/
https://www.ncbi.nlm.nih.gov/pubmed/30296938
http://dx.doi.org/10.1186/s13059-018-1543-9
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