Progressive Spreading of DNA Methylation in the GSTP1 Promoter CpG Island across Transitions from Precursors to Invasive Prostate Cancer.

Unlabelled: Glutathione S-transferase pi 1 (GSTP1) is lowly expressed in normal prostate luminal cells and becomes induced in most proliferative inflammatory atrophy (PIA) lesions. GSTP1 becomes silenced in prostatic intraepithelial neoplasia (PIN) and prostate adenocarcinoma (CaP) via cytosine-phospho-guanine (CpG) island promoter hypermethylation. However, GSTP1 methylation patterns in PIA and PIN, and their relationship to patterns in CaP are poorly understood.

Identifying Phased Mutations and Complex Rearrangements in Human Prostate Cancer Cell Lines through Linked-Read Whole-Genome Sequencing.

Unlabelled: A limited number of cell lines have fueled the majority of preclinical prostate cancer research, but their genomes remain incompletely characterized. Here, we utilized whole-genome linked-read sequencing for comprehensive characterization of phased mutations and rearrangements in the most commonly used cell lines in prostate cancer research including PC3, LNCaP, DU145, CWR22Rv1, VCaP, LAPC4, MDA-PCa-2b, RWPE-1, and four derivative castrate-resistant (CR) cell lines LNCaP_Abl, LNCaP_C42b, VCaP-CR, and LAPC4-CR. Phasing of mutations allowed determination of "gene-level haplotype" to assess whether genes harbored heterozygous mutations in one or both alleles.

Regional Gene Repression by DNA Double-Strand Breaks in G Phase Cells.

DNA damage responses (DDR) to double-strand breaks (DSBs) alter cellular transcription programs at the genome-wide level. Through processes that are less well understood, DSBs also alter transcriptional responses locally, which may be important for efficient DSB repair. Here, we developed an approach to elucidate the -acting responses to DSBs in G phase cells.

A multiple myeloma-specific capture sequencing platform discovers novel translocations and frequent, risk-associated point mutations in IGLL5.

Multiple myeloma (MM) is a disease of copy number variants (CNVs), chromosomal translocations, and single-nucleotide variants (SNVs). To enable integrative studies across these diverse mutation types, we developed a capture-based sequencing platform to detect their occurrence in 465 genes altered in MM and used it to sequence 95 primary tumor-normal pairs to a mean depth of 104×. We detected cases of hyperdiploidy (23%), deletions of 1p (8%), 6q (21%), 8p (17%), 14q (16%), 16q (22%), and 17p (4%), and amplification of 1q (19%).