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We are analyzing https://link.springer.com/article/10.1186/s13059-015-0636-y.

Title:
Single-cell analysis of lung adenocarcinoma cell lines reveals diverse expression patterns of individual cells invoked by a molecular target drug treatment | Genome Biology
Description:
Background To understand the heterogeneous behaviors of individual cancer cells, it is essential to investigate gene expression levels as well as their divergence between different individual cells. Recent advances in next-generation sequencing-related technologies have enabled us to conduct a single-cell RNA-Seq analysis of a series of lung adenocarcinoma cell lines. Results We analyze a total of 336 single-cell RNA-Seq libraries from seven cell lines. The results are highly robust regarding both average expression levels and the relative gene expression differences between individual cells. Gene expression diversity is characteristic depending on genes and pathways. Analyses of individual cells treated with the multi-tyrosine kinase inhibitor vandetanib reveal that, while the ribosomal genes and many other so-called house-keeping genes reduce their relative expression diversity during the drug treatment, the genes that are directly targeted by vandetanib, the EGFR and RET genes, remain constant. Rigid transcriptional control of these genes may not allow plastic changes of their expression with the drug treatment or during the cellular acquisition of drug resistance. Additionally, we find that the gene expression patterns of cancer-related genes are sometimes more diverse than expected based on the founder cells. Furthermore, we find that this diversity is occasionally latent in a normal state and initially becomes apparent after the drug treatment. Conclusions Characteristic patterns in gene expression divergence, which would not be revealed by transcriptome analysis of bulk cells, may also play important roles when cells acquire drug resistance, perhaps by providing a cellular reservoir for gene expression programs.
Website Age:
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๐ŸŒ  Phenomenal Traffic: 5M - 10M visitors per month


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Keywords {๐Ÿ”}

genes, expression, cells, gene, cell, figure, relative, lcad, levels, pubmed, average, rnaseq, additional, file, analysis, cancer, article, lines, divergence, lcadr, divergences, individual, google, scholar, singlecell, shown, vandetanib, tags, patterns, cas, lung, drug, sequencing, found, genome, panel, central, egfr, table, data, treatment, libraries, similar, diverse, results, observed, cancerrelated, response, adenocarcinoma, number,

Topics {โœ’๏ธ}

single-cell rna-seq analysis single-cell rna-seq libraries gene-alteration profile single-cell rna-seq analyses real time rt-pcr analyzed single-cell rna-seq article download pdf multi-tyrosine kinase inhibitor single-cell rna-sequencing methods discussion rna-seq analysis usual rna-seq protocol usual rna-seq libraries lc2/ad-derived cell line full-length mrna-seq usual rna-seq analyses 97-base paired-end read generated rna-seq data generated rna-seq tags rna-seq tags representing rna-seq tags generated normal rna-seq libraries hideki makinoshima rna-seq tag data constructed rna-seq libraries single-cell rna sequencing 97-base paired-end reads rna-seq tags derived anti-cancer drug treatment quantitative rt-pcr results bulk rna-seq analysis anti-cancer drug stimulation cancer-related genes appearing lc2/adโ€‰+โ€‰vandetanib cells overlapped real-time pcr single-cell genomic sequencing rna-seq tags mapped mapped rna-seq tags generation sequencing-related technologies quantitative rt-pcr representative cancer-related genes molecular target drug lung adenocarcinoma revealed cell cycle-related genes vmrc-lcd cell line sequence alignment/map format cancer genome atlas ccdc6-ret fusion gene parental lc2/ad line privacy choices/manage cookies rna-seq libraries

Schema {๐Ÿ—บ๏ธ}

WebPage:
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         headline:Single-cell analysis of lung adenocarcinoma cell lines reveals diverse expression patterns of individual cells invoked by a molecular target drug treatment
         description:To understand the heterogeneous behaviors of individual cancer cells, it is essential to investigate gene expression levels as well as their divergence between different individual cells. Recent advances in next-generation sequencing-related technologies have enabled us to conduct a single-cell RNA-Seq analysis of a series of lung adenocarcinoma cell lines. We analyze a total of 336 single-cell RNA-Seq libraries from seven cell lines. The results are highly robust regarding both average expression levels and the relative gene expression differences between individual cells. Gene expression diversity is characteristic depending on genes and pathways. Analyses of individual cells treated with the multi-tyrosine kinase inhibitor vandetanib reveal that, while the ribosomal genes and many other so-called house-keeping genes reduce their relative expression diversity during the drug treatment, the genes that are directly targeted by vandetanib, the EGFR and RET genes, remain constant. Rigid transcriptional control of these genes may not allow plastic changes of their expression with the drug treatment or during the cellular acquisition of drug resistance. Additionally, we find that the gene expression patterns of cancer-related genes are sometimes more diverse than expected based on the founder cells. Furthermore, we find that this diversity is occasionally latent in a normal state and initially becomes apparent after the drug treatment. Characteristic patterns in gene expression divergence, which would not be revealed by transcriptome analysis of bulk cells, may also play important roles when cells acquire drug resistance, perhaps by providing a cellular reservoir for gene expression programs.
         datePublished:2015-04-03T00:00:00Z
         dateModified:2015-04-03T00:00:00Z
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            Driver Mutation
            Average Expression Level
            EGFR Gene
            Lung Adenocarcinoma Cell Line
            Animal Genetics and Genomics
            Human Genetics
            Plant Genetics and Genomics
            Microbial Genetics and Genomics
            Bioinformatics
            Evolutionary Biology
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      headline:Single-cell analysis of lung adenocarcinoma cell lines reveals diverse expression patterns of individual cells invoked by a molecular target drug treatment
      description:To understand the heterogeneous behaviors of individual cancer cells, it is essential to investigate gene expression levels as well as their divergence between different individual cells. Recent advances in next-generation sequencing-related technologies have enabled us to conduct a single-cell RNA-Seq analysis of a series of lung adenocarcinoma cell lines. We analyze a total of 336 single-cell RNA-Seq libraries from seven cell lines. The results are highly robust regarding both average expression levels and the relative gene expression differences between individual cells. Gene expression diversity is characteristic depending on genes and pathways. Analyses of individual cells treated with the multi-tyrosine kinase inhibitor vandetanib reveal that, while the ribosomal genes and many other so-called house-keeping genes reduce their relative expression diversity during the drug treatment, the genes that are directly targeted by vandetanib, the EGFR and RET genes, remain constant. Rigid transcriptional control of these genes may not allow plastic changes of their expression with the drug treatment or during the cellular acquisition of drug resistance. Additionally, we find that the gene expression patterns of cancer-related genes are sometimes more diverse than expected based on the founder cells. Furthermore, we find that this diversity is occasionally latent in a normal state and initially becomes apparent after the drug treatment. Characteristic patterns in gene expression divergence, which would not be revealed by transcriptome analysis of bulk cells, may also play important roles when cells acquire drug resistance, perhaps by providing a cellular reservoir for gene expression programs.
      datePublished:2015-04-03T00:00:00Z
      dateModified:2015-04-03T00:00:00Z
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      license:http://creativecommons.org/licenses/by/4.0/
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         Vandetanib
         Driver Mutation
         Average Expression Level
         EGFR Gene
         Lung Adenocarcinoma Cell Line
         Animal Genetics and Genomics
         Human Genetics
         Plant Genetics and Genomics
         Microbial Genetics and Genomics
         Bioinformatics
         Evolutionary Biology
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            name:The University of Tokyo
            address:
               name:Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
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               name:Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
               type:PostalAddress
            type:Organization
            name:National Cancer Center
            address:
               name:Division of TR, The Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Tokyo, Japan
               type:PostalAddress
            type:Organization
      name:Katsuya Tsuchihara
      affiliation:
            name:National Cancer Center
            address:
               name:Division of TR, The Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
               type:PostalAddress
            type:Organization
      name:Yutaka Suzuki
      affiliation:
            name:The University of Tokyo
            address:
               name:Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
               type:PostalAddress
            type:Organization
            name:The University of Tokyo
            address:
               name:Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
      name:Division of TR, The Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
      name:Division of TR, The Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
      name:Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
      name:Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
      name:Division of TR, The Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Tokyo, Japan
      name:Division of TR, The Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Chiba, Japan
      name:Department of Medical Genome Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
      name:Department of Computational Biology, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

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