Understanding disease and disease relationships using transcriptomic data

Autor: Oerton, Erin

As the volume of transcriptomic data continues to increase, so too does its potential to deepen our understanding of disease; for example, by revealing gene expression patterns shared between diseases. However, key questions remain around the strengt

Externí odkaz: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767816

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Disease-relevant transcriptional signatures identified in individual smooth muscle cells from healthy mouse vessels

Autor: Dobnikar, Lina, Taylor, Annabel L, Chappell, Joel, Oldach, Phoebe, Harman, Jennifer L, Oerton, Erin, Dzierzak, Elaine, Bennett, Martin R, Spivakov, Mikhail, Jørgensen, Helle F

Publikováno v: Nature Communications, Vol 9, Iss 1, Pp 1-17 (2018)
Dobnikar, L, Taylor, A L, Chappell, J, Oldach, P, Harman, J L, Oerton, E, Dzierzak, E, Bennett, M R, Spivakov, M & Jørgensen, H F 2018, ' Disease-relevant transcriptional signatures identified in individual smooth muscle cells from healthy mouse vessels ', Nature Communications, vol. 9, no. 1, pp. 4567 . https://doi.org/10.1038/s41467-018-06891-x
Nature Communications

Vascular smooth muscle cells (VSMCs) show pronounced heterogeneity across and within vascular beds, with direct implications for their function in injury response and atherosclerosis. Here we combine single-cell transcriptomics with lineage tracing t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5815c9d5ead563146ee90ea14220ef13
https://doaj.org/article/7ef92bdb43ed4a47aa8f77c7bd990947

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Concordance analysis of microarray studies identifies representative gene expression changes in Parkinson's disease: a comparison of 33 human and animal studies.

Autor: Oerton, Erin¹, Bender, Andreas¹ ab454@cam.ac.uk

Publikováno v: BMC Neurology. 3/23/2017, Vol. 17, p1-14. 14p. 1 Diagram, 2 Charts, 5 Graphs.