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Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses

GSE97168 Homo sapiens Expression profiling by high throughput sequencing 10 samples Submitted 2017/05/04 Platform GPL18573
Summary
We perform massively parallel single cell RNA-seq (MARS-Seq) on non-lymphocytic immune cells sorted from a human stage IA lung adenocarcinoma lesion and from the adjacent non-involved lung. With an unbiased single cell transcriptomic analysis of non-lymphocyte cells accumulating in these tissues, we sought to capture the heterogeneity of the tumor-infiltrating myeloid (TIM) compartment. Using a previously described unbiased expectation-maximization algorith (Paul et al., 2015), we identified clusters that were then named according to literature-reported marker profiles. This revealed a CD141+ DC subets, a CD1c+ DC subset, and a macrophage subset that clustered separately and was found to be enriched in the lesion as compared to other macrophage subsets.
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Direct links to NCBI, no account and no request form: the whole study as GSE97168_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 10 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA380875 and SRA study SRP102688. Searching any of these in the dataset finder brings you back here.

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