Adrian Wan
Overview
Explore the profile of Adrian Wan including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
15
Citations
1458
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Savage P, Pacis A, Kuasne H, Liu L, Lai D, Wan A, et al.
Commun Biol
. 2020 Jun;
3(1):310.
PMID: 32546838
Subsets of breast tumors present major clinical challenges, including triple-negative, metastatic/recurrent disease and rare histologies. Here, we developed 37 patient-derived xenografts (PDX) from these difficult-to-treat cancers to interrogate their molecular...
2.
Farahani H, De Souza C, Billings R, Yap D, Shumansky K, Wan A, et al.
Sci Rep
. 2017 Oct;
7(1):13467.
PMID: 29044127
Characterization and quantification of tumour clonal populations over time via longitudinal sampling are essential components in understanding and predicting the response to therapeutic interventions. Computational methods for inferring tumour clonal...
3.
Wang Y, Bashashati A, Anglesio M, Cochrane D, Grewal D, Ha G, et al.
Nat Genet
. 2017 Apr;
49(6):856-865.
PMID: 28436987
We studied the whole-genome point mutation and structural variation patterns of 133 tumors (59 high-grade serous (HGSC), 35 clear cell (CCOC), 29 endometrioid (ENOC), and 10 adult granulosa cell (GCT))...
4.
Funnell T, Tasaki S, Oloumi A, Araki S, Kong E, Yap D, et al.
Nat Commun
. 2017 Feb;
8(1):7.
PMID: 28232751
CDC-like kinase phosphorylation of serine/arginine-rich proteins is central to RNA splicing reactions. Yet, the genomic network of CDC-like kinase-dependent RNA processing events remains poorly defined. Here, we explore the connectivity...
5.
Croucher D, Iconomou M, Hastings J, Kennedy S, Han J, Shearer R, et al.
Sci Signal
. 2016 Jul;
9(436):ra69.
PMID: 27405979
The dynamic assembly of multiprotein complexes is a central mechanism of many cell signaling pathways. This process is key to maintaining the spatiotemporal specificity required for an accurate, yet adaptive,...
6.
Roth A, McPherson A, Laks E, Biele J, Yap D, Wan A, et al.
Nat Methods
. 2016 May;
13(7):573-6.
PMID: 27183439
Single-cell DNA sequencing has great potential to reveal the clonal genotypes and population structure of human cancers. However, single-cell data suffer from missing values and biased allelic counts as well...
7.
McPherson A, Roth A, Laks E, Masud T, Bashashati A, Zhang A, et al.
Nat Genet
. 2016 May;
48(7):758-67.
PMID: 27182968
We performed phylogenetic analysis of high-grade serous ovarian cancers (68 samples from seven patients), identifying constituent clones and quantifying their relative abundances at multiple intraperitoneal sites. Through whole-genome and single-nucleus...
8.
Burleigh A, McKinney S, Brimhall J, Yap D, Eirew P, Poon S, et al.
Breast Cancer Res
. 2015 Jan;
17:4.
PMID: 25572802
Introduction: The extracellular signals regulating mammary epithelial cell growth are of relevance to understanding the pathophysiology of mammary epithelia, yet they remain poorly characterized. In this study, we applied an...
9.
Eirew P, Steif A, Khattra J, Ha G, Yap D, Farahani H, et al.
Nature
. 2014 Dec;
518(7539):422-6.
PMID: 25470049
Human cancers, including breast cancers, comprise clones differing in mutation content. Clones evolve dynamically in space and time following principles of Darwinian evolution, underpinning important emergent features such as drug...
10.
Roth A, Khattra J, Yap D, Wan A, Laks E, Biele J, et al.
Nat Methods
. 2014 Mar;
11(4):396-8.
PMID: 24633410
We introduce PyClone, a statistical model for inference of clonal population structures in cancers. PyClone is a Bayesian clustering method for grouping sets of deeply sequenced somatic mutations into putative...