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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Spatial transcriptomics data from the lungNENomics cohort of lung neuroendocrine tumours

ABSTRACT: This dataset contains spatial transcriptomics data of four lung neuroendocrine tumours (lung NETs), a rare and understudied type of lung cancer. The dataset consists of raw sequencing data, metadata, and gene expression matrices. It is part of the lungNENomics project. See https://doi.org/10.5281/zenodo.19366762 for processed data for the series, including downstream analyses data for the four samples in this dataset, such as inferred CNVs and aneuploidy status, and spatial domain and cell proportions for each spot. The lungNENomics project also generated other molecular data for a series of more than 200 samples. The raw sequencing data (fastq files for RNA-seq, cram files for WGS, and idat files for methylation arrays) is hosted on the European Genome-Phenome Archive website, study EGAS00001005979. Medical imaging data (Hematoxylin & Eosin stained whole-slide images) from the lungNENomics project is hosted in the EBI bioImage Archive (10.6019/S-BIAD3143).

INSTRUMENT(S): Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: Catherine VOEGELE

PROVIDER: E-MTAB-17055 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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