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      Divide and conquer: A perspective on biochips for single-cell and rare-molecule analysis by next-generation sequencing

      other
      1 , 2 , 1,3 , 1,2,4,5 , b)
      APL Bioengineering
      AIP Publishing LLC

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          Abstract

          Recent advances in biochip technologies that connect next-generation sequencing (NGS) to real-world problems have facilitated breakthroughs in science and medicine. Because biochip technologies are themselves used in sequencing technologies, the main strengths of biochips lie in their scalability and throughput. Through the advantages of biochips, NGS has facilitated groundbreaking scientific discoveries and technical breakthroughs in medicine. However, all current NGS platforms require nucleic acids to be prepared in a certain range of concentrations, making it difficult to analyze biological systems of interest. In particular, many of the most interesting questions in biology and medicine, including single-cell and rare-molecule analysis, require strategic preparation of biological samples in order to be answered. Answering these questions is important because each cell is different and exists in a complex biological system. Therefore, biochip platforms for single-cell or rare-molecule analyses by NGS, which allow convenient preparation of nucleic acids from biological systems, have been developed. Utilizing the advantages of miniaturizing reaction volumes of biological samples, biochip technologies have been applied to diverse fields, from single-cell analysis to liquid biopsy. From this perspective, here, we first review current state-of-the-art biochip technologies, divided into two broad categories: microfluidic- and micromanipulation-based methods. Then, we provide insights into how future biochip systems will aid some of the most important biological and medical applications that require NGS. Based on current and future biochip technologies, we envision that NGS will come ever closer to solving more real-world scientific and medical problems.

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          Most cited references41

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          The impact of next-generation sequencing technology on genetics.

          If one accepts that the fundamental pursuit of genetics is to determine the genotypes that explain phenotypes, the meteoric increase of DNA sequence information applied toward that pursuit has nowhere to go but up. The recent introduction of instruments capable of producing millions of DNA sequence reads in a single run is rapidly changing the landscape of genetics, providing the ability to answer questions with heretofore unimaginable speed. These technologies will provide an inexpensive, genome-wide sequence readout as an endpoint to applications ranging from chromatin immunoprecipitation, mutation mapping and polymorphism discovery to noncoding RNA discovery. Here I survey next-generation sequencing technologies and consider how they can provide a more complete picture of how the genome shapes the organism.
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            Is Open Access

            Single-cell RNA-seq enables comprehensive tumour and immune cell profiling in primary breast cancer

            Single-cell transcriptome profiling of tumour tissue isolates allows the characterization of heterogeneous tumour cells along with neighbouring stromal and immune cells. Here we adopt this powerful approach to breast cancer and analyse 515 cells from 11 patients. Inferred copy number variations from the single-cell RNA-seq data separate carcinoma cells from non-cancer cells. At a single-cell resolution, carcinoma cells display common signatures within the tumour as well as intratumoral heterogeneity regarding breast cancer subtype and crucial cancer-related pathways. Most of the non-cancer cells are immune cells, with three distinct clusters of T lymphocytes, B lymphocytes and macrophages. T lymphocytes and macrophages both display immunosuppressive characteristics: T cells with a regulatory or an exhausted phenotype and macrophages with an M2 phenotype. These results illustrate that the breast cancer transcriptome has a wide range of intratumoral heterogeneity, which is shaped by the tumour cells and immune cells in the surrounding microenvironment.
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              Dynamic pattern formation in a vesicle-generating microfluidic device.

              Spatiotemporal pattern formation occurs in a variety of nonequilibrium physical and chemical systems. Here we show that a microfluidic device designed to produce reverse micelles can generate complex, ordered patterns as it is continuously operated far from thermodynamic equilibrium. Flow in a microfluidic system is usually simple-viscous effects dominate and the low Reynolds number leads to laminar flow. Self-assembly of the vesicles into patterns depends on channel geometry and relative fluid pressures, enabling the production of motifs ranging from monodisperse droplets to helices and ribbons.
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                Author and article information

                Contributors
                Journal
                APL Bioeng
                APL Bioeng
                ABPID9
                APL Bioengineering
                AIP Publishing LLC
                2473-2877
                June 2019
                25 June 2019
                25 June 2019
                : 3
                : 2
                : 020901
                Affiliations
                [1 ]Interdisciplinary Program in Bioengineering, Seoul National University , Seoul 08826, South Korea
                [2 ]Department of Electrical and Computer Engineering, Seoul National University , Seoul 08826, South Korea
                [3 ]BK21+ Creative Research Engineer Development for IT , Seoul National University, Seoul 08826, South Korea
                [4 ]Institutes of Entrepreneurial BioConvergence, Seoul National University , Seoul 08826, South Korea
                [5 ]Seoul National University Hospital Biomedical Research Institute, Seoul National University Hospital , Seoul 03080, South Korea
                Author notes
                [a)]

                Contributions: A. C. Lee and Y. Lee contributed equally to this work.

                [b) ] Author to whom correspondence should be addressed: skwon@ 123456snu.ac.kr
                Author information
                https://orcid.org/0000-0002-0350-7080
                https://orcid.org/0000-0002-1268-2542
                https://orcid.org/0000-0003-3514-1738
                Article
                1.5095962 005902APB APB19-PS-00032R1
                10.1063/1.5095962
                6697027
                28e2bfb5-f888-4d9d-b30f-2b28f6cdc918
                © 2019 Author(s).

                2473-2877/2019/3(2)/020901/8

                All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 13 March 2019
                : 29 May 2019
                : 28 June 2019
                Page count
                Pages: 8
                Funding
                Funded by: Brain Korea 21 Plus Project
                Funded by: National Research Foundation of Korea http://doi.org/10.13039/501100003725
                Award ID: 2015K1A4A3047345
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