Irene Papatheodorou
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Explore the profile of Irene Papatheodorou including associated specialties, affiliations and a list of published articles.
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58
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2695
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Recent Articles
1.
Guan C, Otchere A, Laskovs M, Papatheodorou I, Slack C
Aging Cell
. 2025 Feb;
:e14500.
PMID: 39943697
Invertebrate models have been instrumental in advancing our understanding of the molecular mechanisms of ageing. The isolation of single gene mutations that both extend lifespan and improve age-related health have...
2.
Feng S, Huang L, Pournara A, Huang Z, Yang X, Zhang Y, et al.
Nat Commun
. 2024 Dec;
15(1):10867.
PMID: 39738054
Cell type deconvolution methods can impute cell proportions from bulk transcriptomics data, revealing changes in disease progression or organ development. But benchmarking studies often use simulated bulk data from the...
3.
Kapoor M, Ventura E, Walsh A, Sokolov A, George N, Kumari S, et al.
Front Genet
. 2024 Dec;
15:1460351.
PMID: 39678381
Introduction: The agriculture genomics community has numerous data submission standards available, but the standards for describing and storing single-cell (SC, e.g., scRNA- seq) data are comparatively underdeveloped. Methods: To bridge...
4.
Colli-Dula R, Papatheodorou I
Comp Biochem Physiol Part D Genomics Proteomics
. 2024 Oct;
52:101339.
PMID: 39393164
Single-cell Sequencing technology (scSeq) has revolutionized our understanding of individual cells, uncovering unprecedented heterogeneity within tissues and cell populations, principality through single-cell RNA Sequencing (scRNA-Seq). This short review highlights the...
5.
Wang S, Collins A, Prakash A, Fexova S, Papatheodorou I, Jones A, et al.
J Proteome Res
. 2024 May;
23(6):1948-1959.
PMID: 38717300
The availability of an increasingly large amount of public proteomics data sets presents an opportunity for performing combined analyses to generate comprehensive organism-wide protein expression maps across different organisms and...
6.
Pournara A, Miao Z, Beker O, Nolte N, Brazma A, Papatheodorou I
Bioinform Adv
. 2024 Apr;
4(1):vbae048.
PMID: 38638280
Motivation: Cell-type deconvolution methods aim to infer cell composition from bulk transcriptomic data. The proliferation of developed methods coupled with inconsistent results obtained in many cases, highlights the pressing need...
7.
Katkat E, Demirci Y, Heger G, Karagulle D, Papatheodorou I, Brazma A, et al.
Front Cell Dev Biol
. 2023 Nov;
11:1297910.
PMID: 38020918
Melanoma is the deadliest form of skin cancer and develops from the melanocytes that are responsible for the pigmentation of the skin. The skin is also a highly regenerative organ,...
8.
George N, Fexova S, Fuentes A, Madrigal P, Bi Y, Iqbal H, et al.
Nucleic Acids Res
. 2023 Nov;
52(D1):D107-D114.
PMID: 37992296
Expression Atlas (www.ebi.ac.uk/gxa) and its newest counterpart the Single Cell Expression Atlas (www.ebi.ac.uk/gxa/sc) are EMBL-EBI's knowledgebases for gene and protein expression and localisation in bulk and at single cell level....
9.
Song Y, Miao Z, Brazma A, Papatheodorou I
Nat Commun
. 2023 Oct;
14(1):6495.
PMID: 37838716
The growing number of available single-cell gene expression datasets from different species creates opportunities to explore evolutionary relationships between cell types across species. Cross-species integration of single-cell RNA-sequencing data has...
10.
Wicks M, Glinka M, Hill B, Houghton D, Sharghi M, Ferreira I, et al.
J Pathol Inform
. 2023 Sep;
14:100328.
PMID: 37693862
Pathologists need to compare histopathological images of normal and diseased tissues between different samples, cases, and species. We have designed an interactive system, termed Comparative Pathology Workbench (CPW), which allows...