NBE1_copy_number
The transcriptional consequences of somatic amplifications, deletions and rearrangements in a human lung squamous cell carcinoma
Lung cancer causes more deaths, worldwide, than any other cancer. Several histological subtypes exist. Currently, there is a dearth of targeted therapies for treating one of the main subtypes: squamous cell carcinoma (SCC). As for many cancers, lung SCC karyotypes are often highly anomalous owing to large somatic structural variants, some of which are seen repeatedly in lung SCC, indicating a potential causal association for genes therein. We chose to characterise a lung SCC genome to unprecedented detail and integrate our findings with the concurrently characterised transcriptome. We aimed to ascertain how somatic structural changes affected gene expression within the cell in ways that could confer a pathogenic phenotype. We sequenced the genomes of a lung SCC cell line (LUDLU-1) and its matched lymphocyte cell line (AGLCL) to over 50x coverage. We also sequenced the transcriptomes of LUDLU-1 and a normal bronchial epithelium cell line (LIMM-NBE1), resulting in over 600 million aligned reads per sample, including both coding and non-coding RNA (ncRNA), in a strand-directional manner.  We also captured small RNAs (<30bp).  We discovered significant, but weak, correlations between copy number and expression for protein-coding genes, antisense transcripts, long intergenic ncRNAs and microRNAs. We found that microRNAs undergo the largest change in overall expression pattern between the normal bronchial epithelium and the tumour cell line. We found evidence of transcription across the novel genomic sequence created from six somatic structural variants. For each part of our integrated analysis, we highlight candidate genes: those that have undergone the largest expression changes.
Lung cancer causes more deaths, worldwide, than any other cancer. Several histological subtypes exist. Currently, there is a dearth of targeted therapies for treating one of the main subtypes: squamous cell carcinoma (SCC). As for many cancers, lung SCC karyotypes are often highly anomalous owing to large somatic structural variants, some of which are seen repeatedly in lung SCC, indicating a potential causal association for genes therein. We chose to characterise a lung SCC genome to unprecedented detail and integrate our findings with the concurrently characterised transcriptome. We aimed to ascertain how somatic structural changes affected gene expression within the cell in ways that could confer a pathogenic phenotype. We sequenced the genomes of a lung SCC cell line (LUDLU-1) and its matched lymphocyte cell line (AGLCL) to over 50x coverage. We also sequenced the transcriptomes of LUDLU-1 and a normal bronchial epithelium cell line (LIMM-NBE1), resulting in over 600 million aligned reads per sample, including both coding and non-coding RNA (ncRNA), in a strand-directional manner.  We also captured small RNAs (<30bp).  We discovered significant, but weak, correlations between copy number and expression for protein-coding genes, antisense transcripts, long intergenic ncRNAs and microRNAs. We found that microRNAs undergo the largest change in overall expression pattern between the normal bronchial epithelium and the tumour cell line. We found evidence of transcription across the novel genomic sequence created from six somatic structural variants. For each part of our integrated analysis, we highlight candidate genes: those that have undergone the largest expression changes.