Andrew E Teschendorff
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Explore the profile of Andrew E Teschendorff including associated specialties, affiliations and a list of published articles.
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148
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Recent Articles
21.
Xu F, Wang Y, Ling Y, Zhou C, Wang H, Teschendorff A, et al.
Genomics Proteomics Bioinformatics
. 2022 Jun;
20(3):446-454.
PMID: 35643191
MicroRNAs (miRNAs) are important regulators in gene expression. The dysregulation of miRNA expression is widely reported in the transformation from physiological to pathological states of cells. A large number of...
22.
Liu T, Zhao X, Lin Y, Luo Q, Zhang S, Xi Y, et al.
Cancer Res
. 2022 May;
82(14):2520-2537.
PMID: 35536873
Significance: This study develops a computational strategy to dissect the heterogeneity of differentiation states within a preneoplastic cell population, allowing identification of stem-like cells that may drive cancer progression.
23.
Zhu T, Liu J, Beck S, Pan S, Capper D, Lechner M, et al.
Nat Methods
. 2022 Mar;
19(3):296-306.
PMID: 35277705
Bulk-tissue DNA methylomes represent an average over many different cell types, hampering our understanding of cell-type-specific contributions to disease development. As single-cell methylomics is not scalable to large cohorts of...
24.
Qi L, Teschendorff A
Clin Epigenetics
. 2022 Mar;
14(1):31.
PMID: 35227298
Most studies aiming to identify epigenetic biomarkers do so from complex tissues that are composed of many different cell-types. By definition, these cell-types vary substantially in terms of their epigenetic...
25.
Maity A, Stone T, Ward V, Webster A, Yang Z, Hogan A, et al.
Clin Epigenetics
. 2022 Feb;
14(1):23.
PMID: 35164838
Background: Early detection of esophageal cancer is critical to improve survival. Whilst studies have identified biomarkers, their interpretation and validity is often confounded by cell-type heterogeneity. Results: Here we applied...
26.
A comparison of epithelial cell content of oral samples estimated using cytology and DNA methylation
Wong Y, Tayeb M, Stone T, Lovat L, Teschendorff A, Iwasiow R, et al.
Epigenetics
. 2021 Jul;
17(3):327-334.
PMID: 34254878
Saliva and buccal samples are popular for epigenome wide association studies (EWAS) due to their ease of collection compared and their ability to sample a different cell lineage compared to...
27.
Yang Z, Xu F, Wang H, Teschendorff A, Xie F, He Y
EBioMedicine
. 2021 May;
68:103399.
PMID: 34044218
Background: Disruption of DNA methylation (DNAm) is one of the key signatures of cancer, however, detailed mechanisms that alter the DNA methylome in cancer remain to be elucidated. Methods: Here...
28.
Teschendorff A, Feinberg A
Nat Rev Genet
. 2021 Apr;
22(7):459-476.
PMID: 33875884
Single-cell omics is transforming our understanding of cell biology and disease, yet the systems-level analysis and interpretation of single-cell data faces many challenges. In this Perspective, we describe the impact...
29.
Teschendorff A, Maity A, Hu X, Weiyan C, Lechner M
Bioinformatics
. 2020 Nov;
37(11):1528-1534.
PMID: 33244588
Motivation: An important task in the analysis of single-cell RNA-Seq data is the estimation of differentiation potency, as this can help identify stem-or-multipotent cells in non-temporal studies or in tissues...
30.
Teschendorff A, Wang N
NPJ Genom Med
. 2020 Oct;
5:43.
PMID: 33083012
Tissue-specific transcription factors are frequently inactivated in cancer. To fully dissect the heterogeneity of such tumor suppressor events requires single-cell resolution, yet this is challenging because of the high dropout...