Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals

Alexandros Onoufriadis; Chao Kai Hsu; Chrysanthi Ainali; Chuin Ying Ung; Ellie Rashidghamat; Hsing San Yang; Hsin Yu Huang; Umar Niazi; Christos Tziotzios; Jui Chu Yang; Rosamond Nuamah; Ming Jer Tang; Alka Saxena; Emanuele de Rinaldis; John A. McGrath

doi:10.1016/j.jid.2018.05.017

Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals

Alexandros Onoufriadis, Chao Kai Hsu, Chrysanthi Ainali, Chuin Ying Ung, Ellie Rashidghamat, Hsing San Yang, Hsin Yu Huang, Umar Niazi, Christos Tziotzios, Jui Chu Yang, Rosamond Nuamah, Ming Jer Tang, Alka Saxena, Emanuele de Rinaldis, John A. McGrath

研究成果: Article › 同行評審

13 引文斯高帕斯（Scopus）

原文	English
頁（從 - 到）	2690-2693
頁數	4
期刊	Journal of Investigative Dermatology
卷	138
發行號	12
DOIs	https://doi.org/10.1016/j.jid.2018.05.017
出版狀態	Published - 2018 十二月

All Science Journal Classification (ASJC) codes

Biochemistry
Molecular Biology
Dermatology
Cell Biology

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10.1016/j.jid.2018.05.017

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引用此

Onoufriadis, A., Hsu, C. K., Ainali, C., Ung, C. Y., Rashidghamat, E., Yang, H. S., Huang, H. Y., Niazi, U., Tziotzios, C., Yang, J. C., Nuamah, R., Tang, M. J., Saxena, A., de Rinaldis, E., & McGrath, J. A. (2018). Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals. Journal of Investigative Dermatology, 138(12), 2690-2693. https://doi.org/10.1016/j.jid.2018.05.017

Onoufriadis, Alexandros ; Hsu, Chao Kai ; Ainali, Chrysanthi ; Ung, Chuin Ying ; Rashidghamat, Ellie ; Yang, Hsing San ; Huang, Hsin Yu ; Niazi, Umar ; Tziotzios, Christos ; Yang, Jui Chu ; Nuamah, Rosamond ; Tang, Ming Jer ; Saxena, Alka ; de Rinaldis, Emanuele ; McGrath, John A. / Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals. 於: Journal of Investigative Dermatology. 2018 ; 卷 138, 編號 12. 頁 2690-2693.

@article{a725e5eb382749f1bba5a2ff596d9762,

title = "Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals",

author = "Alexandros Onoufriadis and Hsu, {Chao Kai} and Chrysanthi Ainali and Ung, {Chuin Ying} and Ellie Rashidghamat and Yang, {Hsing San} and Huang, {Hsin Yu} and Umar Niazi and Christos Tziotzios and Yang, {Jui Chu} and Rosamond Nuamah and Tang, {Ming Jer} and Alka Saxena and {de Rinaldis}, Emanuele and McGrath, {John A.}",

note = "Funding Information: This work was supported by the grants of the Ministry of Science and Technology, Taiwan (MOST105-2320-B-006-013), The Rosetrees Trust (M348) and by the UK National Institute for Health Research comprehensive Biomedical Research Centre award to Guy's and St Thomas? National Health Service (NHS) Foundation Trust, in partnership with the King's College London and King's College Hospital NHS Foundation Trust. We acknowledge the statistical assistance of Lazaros Mavridis and Tanya Shaw for her comments on the manuscript. We would also like to acknowledge all the patients, their relatives, and volunteers who have kindly contributed samples. Funding Information: This work was supported by the grants of the Ministry of Science and Technology, Taiwan (MOST105-2320-B-006-013), The Rosetrees Trust (M348) and by the UK National Institute for Health Research comprehensive Biomedical Research Centre award to Guy{\textquoteright}s and St Thomas{\textquoteright} National Health Service (NHS) Foundation Trust, in partnership with the King{\textquoteright}s College London and King{\textquoteright}s College Hospital NHS Foundation Trust. We acknowledge the statistical assistance of Lazaros Mavridis and Tanya Shaw for her comments on the manuscript. We would also like to acknowledge all the patients, their relatives, and volunteers who have kindly contributed samples. ",

year = "2018",

month = dec,

doi = "10.1016/j.jid.2018.05.017",

language = "English",

volume = "138",

pages = "2690--2693",

journal = "Journal of Investigative Dermatology",

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}

Onoufriadis, A, Hsu, CK, Ainali, C, Ung, CY, Rashidghamat, E, Yang, HS, Huang, HY, Niazi, U, Tziotzios, C, Yang, JC, Nuamah, R, Tang, MJ, Saxena, A, de Rinaldis, E & McGrath, JA 2018, 'Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals', Journal of Investigative Dermatology, 卷 138, 編號 12, 頁 2690-2693. https://doi.org/10.1016/j.jid.2018.05.017

Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals. / Onoufriadis, Alexandros; Hsu, Chao Kai; Ainali, Chrysanthi; Ung, Chuin Ying; Rashidghamat, Ellie; Yang, Hsing San; Huang, Hsin Yu; Niazi, Umar; Tziotzios, Christos; Yang, Jui Chu; Nuamah, Rosamond; Tang, Ming Jer; Saxena, Alka; de Rinaldis, Emanuele; McGrath, John A.

於: Journal of Investigative Dermatology, 卷 138, 編號 12, 12.2018, p. 2690-2693.

研究成果: Article › 同行評審

TY - JOUR

T1 - Time Series Integrative Analysis of RNA Sequencing and MicroRNA Expression Data Reveals Key Biologic Wound Healing Pathways in Keloid-Prone Individuals

AU - Onoufriadis, Alexandros

AU - Hsu, Chao Kai

AU - Ainali, Chrysanthi

AU - Ung, Chuin Ying

AU - Rashidghamat, Ellie

AU - Yang, Hsing San

AU - Huang, Hsin Yu

AU - Niazi, Umar

AU - Tziotzios, Christos

AU - Yang, Jui Chu

AU - Nuamah, Rosamond

AU - Tang, Ming Jer

AU - Saxena, Alka

AU - de Rinaldis, Emanuele

AU - McGrath, John A.

N1 - Funding Information: This work was supported by the grants of the Ministry of Science and Technology, Taiwan (MOST105-2320-B-006-013), The Rosetrees Trust (M348) and by the UK National Institute for Health Research comprehensive Biomedical Research Centre award to Guy's and St Thomas? National Health Service (NHS) Foundation Trust, in partnership with the King's College London and King's College Hospital NHS Foundation Trust. We acknowledge the statistical assistance of Lazaros Mavridis and Tanya Shaw for her comments on the manuscript. We would also like to acknowledge all the patients, their relatives, and volunteers who have kindly contributed samples. Funding Information: This work was supported by the grants of the Ministry of Science and Technology, Taiwan (MOST105-2320-B-006-013), The Rosetrees Trust (M348) and by the UK National Institute for Health Research comprehensive Biomedical Research Centre award to Guy’s and St Thomas’ National Health Service (NHS) Foundation Trust, in partnership with the King’s College London and King’s College Hospital NHS Foundation Trust. We acknowledge the statistical assistance of Lazaros Mavridis and Tanya Shaw for her comments on the manuscript. We would also like to acknowledge all the patients, their relatives, and volunteers who have kindly contributed samples.

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