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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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Detalles Bibliográficos
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
Descripción
Sumario: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.