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
11.
Tong H, Dwaraka V, Chen Q, Luo Q, Lasky-Su J, Smith R, et al.
Nat Aging
. 2024 May;
4(6):886-901.
PMID: 38724732
DNA methylation clocks can accurately estimate chronological age and, to some extent, also biological age, yet the process by which age-associated DNA methylation (DNAm) changes are acquired appears to be...
12.
Peng Q, Liu X, Li W, Jing H, Li J, Gao X, et al.
Nat Genet
. 2024 Apr;
56(5):846-860.
PMID: 38641644
Methylation quantitative trait loci (mQTLs) are essential for understanding the role of DNA methylation changes in genetic predisposition, yet they have not been fully characterized in East Asians (EAs). Here...
13.
Teschendorff A
Philos Trans R Soc Lond B Biol Sci
. 2024 Mar;
379(1900):20230054.
PMID: 38432318
Epigenetic changes are known to accrue in normal cells as a result of ageing and cumulative exposure to cancer risk factors. Increasing evidence points towards age-related epigenetic changes being acquired...
14.
Garmire L, Li Y, Huang Q, Xu C, Teichmann S, Kaminski N, et al.
Nat Methods
. 2024 Feb;
21(3):391-400.
PMID: 38374264
Deciphering cell-type heterogeneity is crucial for systematically understanding tissue homeostasis and its dysregulation in diseases. Computational deconvolution is an efficient approach for estimating cell-type abundances from a variety of omics...
15.
Luo Q, Dwaraka V, Chen Q, Tong H, Zhu T, Seale K, et al.
Genome Med
. 2023 Jul;
15(1):59.
PMID: 37525279
Background: Changes in cell-type composition of tissues are associated with a wide range of diseases and environmental risk factors and may be causally implicated in disease development and progression. However,...
16.
Maity A, Teschendorff A
Nat Commun
. 2023 Jun;
14(1):3244.
PMID: 37277399
Variations of cell-type proportions within tissues could be informative of biological aging and disease risk. Single-cell RNA-sequencing offers the opportunity to detect such differential abundance patterns, yet this task can...
17.
Maity A, Hu X, Zhu T, Teschendorff A
Nat Aging
. 2023 Apr;
2(6):548-561.
PMID: 37118452
Transcription factors (TFs) control cell identity and function. How their activity is altered during healthy aging is critical for an improved understanding of aging and disease risk, yet relatively little...
18.
Zhu T, Teschendorff A
Methods Mol Biol
. 2023 Mar;
2629:23-42.
PMID: 36929072
DNA methylation data generated from bulk tissue represents a mixture of many different cell types. Variation in the cell-type composition of tissues is thus a major confounder when inferring differential...
19.
Luo Q, Maity A, Teschendorff A
iScience
. 2022 Dec;
25(12):105709.
PMID: 36578319
Cell-fate transitions are fundamental to development and differentiation. Studying them with single-cell omic data is important to advance our understanding of the cell-fate commitment process, yet this remains challenging. Here...
20.
Yang Z, Xu F, Teschendorff A, Zhao Y, Yao L, Li J, et al.
Front Mol Biosci
. 2022 Dec;
9:1067406.
PMID: 36533073
DNA methylation is one of the most important epigenetic mechanisms that governing regulation of gene expression, aberrant DNA methylation patterns are strongly associated with human malignancies. Long non-coding RNAs (lncRNAs)...