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/
- Type: Cancer Genomics
- Archiver: European Genome-Phenome Archive (EGA)
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 |