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Transcriptional_analysis_of_cells_from_lungs

To capture the full heterogeneity of the cellular types and states during HSPCs differentiation, haematopoietic progenitors will be obtained through column-enrichment of cells expressing CD34, a pan-progenitor marker for HSPCs. The samples from tumour and non-tumour lung tissue from different patients will be processed using the 10x Genomics platform. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001005065 Illumina HiSeq 4000 11
Publications Citations
SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes.
Nat Med 26: 2020 681-687
1597
Gene signatures from scRNA-seq accurately quantify mast cells in biopsies in asthma.
Clin Exp Allergy 50: 2020 1428-1431
12
Integrated Single-Cell Atlas of Endothelial Cells of the Human Lung.
Circulation 144: 2021 286-302
164
Single-cell RNA-sequencing in asthma research.
Front Immunol 13: 2022 988573
8
An integrated cell atlas of the lung in health and disease.
Nat Med 29: 2023 1563-1577
167
BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data.
Nat Commun 15: 2024 509
10
Cross-species comparison of airway epithelium transcriptomics.
Heliyon 10: 2024 e38259
0