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We began analyzing https://www.nature.com/articles/s41467-020-16164-1, but it redirected us to https://www.nature.com/articles/s41467-020-16164-1. The analysis below is for the second page.

Title[redir]:
Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma | Nature Communications
Description:
Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell transcriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. Understanding the mechanisms that lead to lung adenocarcinoma metastasis is important for identifying new therapeutics. Here, the authors document the changes in the transcriptome of human lung adenocarcinoma using single-cell sequencing and link cancer cell signatures to immune cell dynamics.

Matching Content Categories {📚}

  • Science
  • Telecommunications
  • Education

Content Management System {📝}

What CMS is doi.org built with?

Custom-built

No common CMS systems were detected on Doi.org, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of doi.org audience?

🏙️ Massive Traffic: 50M - 100M visitors per month


Based on our best estimate, this website will receive around 96,105,781 visitors per month in the current month.

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How Does Doi.org Make Money? {💸}

We're unsure if the website is profiting.

While profit motivates many websites, others exist to inspire, entertain, or provide valuable resources. Websites have a variety of goals. And this might be one of them. Doi.org could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

cells, cell, pubmed, tumor, fig, article, lung, cancer, samples, google, scholar, genes, cas, tissues, supplementary, data, normal, luad, expression, central, immune, singlecell, gene, subsets, tlung, tissue, analysis, nature, primary, cellular, metastatic, macrophages, mln, molecular, progression, mbrain, momacs, tlb, epithelial, test, lymph, marker, clusters, exhausted, myeloid, interactions, metastases, malignant, nat, sequencing,

Topics {✒️}

nature portfolio privacy policy single-cell rna-seq data single-cell rna-seq reveals open-source platform cytoscape advertising pro-inflammatory nature multi-subunit ligand-receptor complexes pd-1/pd-l1 blockade immunotherapy cd45+lin-hla-dr+ raw gene-cell-barcode matrix anti-human epcam-percp/cy5 social media reporting summary complex nature bioinformatics enrichment tools lung alveolus development national research foundation fitc-conjugated anti-human cd56 tumor-derived epcam−cd45− cells reprints hae-ock lee single-cell expression data single-cell rna-sequencing single-cell rna sequencing sequencing libraries middle version picard-tools-2 myung-ju ahn tcga research network intra-patient genomic heterogeneity yeon-lim suh force-directed layout algorithm woong-yang park inter-patient genomic heterogeneity nature 511 nature 554 nature 551 nature 563 nature rna-seq data jaccard index paired single-cell analyses small-cell lung cancer 100-bp paired-end mode small-cell lung cancers systemic multi-patient analyses single-cell transcriptomic analysis early maternal-fetal interface human b-cell lymphomas

Questions {❓}

  • Why do human B cells secrete granzyme B?

Schema {🗺️}

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         headline:Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma
         description:Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell transcriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. Understanding the mechanisms that lead to lung adenocarcinoma metastasis is important for identifying new therapeutics. Here, the authors document the changes in the transcriptome of human lung adenocarcinoma using single-cell sequencing and link cancer cell signatures to immune cell dynamics.
         datePublished:2020-05-08T00:00:00Z
         dateModified:2020-05-08T00:00:00Z
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            Data mining
            Non-small-cell lung cancer
            Tumour heterogeneity
            Science
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      headline:Single-cell RNA sequencing demonstrates the molecular and cellular reprogramming of metastatic lung adenocarcinoma
      description:Advanced metastatic cancer poses utmost clinical challenges and may present molecular and cellular features distinct from an early-stage cancer. Herein, we present single-cell transcriptome profiling of metastatic lung adenocarcinoma, the most prevalent histological lung cancer type diagnosed at stage IV in over 40% of all cases. From 208,506 cells populating the normal tissues or early to metastatic stage cancer in 44 patients, we identify a cancer cell subtype deviating from the normal differentiation trajectory and dominating the metastatic stage. In all stages, the stromal and immune cell dynamics reveal ontological and functional changes that create a pro-tumoral and immunosuppressive microenvironment. Normal resident myeloid cell populations are gradually replaced with monocyte-derived macrophages and dendritic cells, along with T-cell exhaustion. This extensive single-cell analysis enhances our understanding of molecular and cellular dynamics in metastatic lung cancer and reveals potential diagnostic and therapeutic targets in cancer-microenvironment interactions. Understanding the mechanisms that lead to lung adenocarcinoma metastasis is important for identifying new therapeutics. Here, the authors document the changes in the transcriptome of human lung adenocarcinoma using single-cell sequencing and link cancer cell signatures to immune cell dynamics.
      datePublished:2020-05-08T00:00:00Z
      dateModified:2020-05-08T00:00:00Z
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         Cancer microenvironment
         Data mining
         Non-small-cell lung cancer
         Tumour heterogeneity
         Science
         Humanities and Social Sciences
         multidisciplinary
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