Erping Long

Nov 18, 2024 | nature.com | Erping Long |Jinhu Yin |Xinti Sun |Younghun Han |Jinyoung Byun |Tongwu Zhang | +6 more

Correction to: Nature Communications https://doi.org/10.1038/s41467-024-52356-9, published online 12 September 2024The original version of the Supplementary Information associated with this Article included an incorrect Supplementary Data 1-18 file, in which specific legends for each Supplementary Data table were missing. The HTML has been updated to include a corrected version of Supplementary Data 1-18.

Sep 11, 2024 | nature.com | Erping Long |Jinhu Yin |Xinti Sun |Younghun Han |Jinyoung Byun |Tongwu Zhang | +6 more

AbstractGenome-wide association studies (GWAS) identified over fifty loci associated with lung cancer risk. However, underlying mechanisms and target genes are largely unknown, as most risk-associated variants might regulate gene expression in a context-specific manner. Here, we generate a barcode-shared transcriptome and chromatin accessibility map of 117,911 human lung cells from age/sex-matched ever- and never-smokers to profile context-specific gene regulation.