Somatic_mutation_and_clonal_evolution_in_the_human_bladder_Novaseq

In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-genome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.

Type: Whole Genome Sequencing
Archiver: European Genome-Phenome Archive (EGA)

2 Datasets 1 Publication

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
EGAD00001006116	In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-genome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer. . This dataset contains all the data available for this study on 2020-05-05.	Illumina NovaSeq 6000	24
EGAD00001006595	This dataset contains 160 single-cell derived blood colonies from two neonates and 6 adults. It also contains 18 samples that were used as matched normals to call mutations in NanoSeq data (dataset EGAD00001006459).	HiSeq X Ten Illumina NovaSeq 6000	13

Publications	Citations
Uncovering novel mutational signatures by <i>de novo</i> extraction with SigProfilerExtractor. Islam SMA, Díaz-Gay M, Wu Y, Barnes M, Vangara R, Bergstrom EN, He Y, Vella M, Wang J, Teague JW, Clapham P, Moody S, Senkin S, Li YR, Riva L, Zhang T, Gruber AJ, Steele CD, Otlu B, Khandekar A, Abbasi A, Humphreys L, Syulyukina N, Brady SW, Alexandrov BS, Pillay N, Zhang J, Adams DJ, Martincorena I, Wedge DC, Landi MT, Brennan P, Stratton MR, Rozen SG, Alexandrov LB. Cell Genom 2: 2022 None	128

Publications

Citations

Uncovering novel mutational signatures by <i>de novo</i> extraction with SigProfilerExtractor.
Islam SMA, Díaz-Gay M, Wu Y, Barnes M, Vangara R, Bergstrom EN, He Y, Vella M, Wang J, Teague JW, Clapham P, Moody S, Senkin S, Li YR, Riva L, Zhang T, Gruber AJ, Steele CD, Otlu B, Khandekar A, Abbasi A, Humphreys L, Syulyukina N, Brady SW, Alexandrov BS, Pillay N, Zhang J, Adams DJ, Martincorena I, Wedge DC, Landi MT, Brennan P, Stratton MR, Rozen SG, Alexandrov LB. Cell Genom 2: 2022 None

128