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Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation
Face transplantation is a promising solution for patients with devastating facial injuries who lack other satisfactory treatment options. At the same time, this type of transplantation is accompanied with high risks of acute transplant rejection. The limitations of traditional skin biopsy and the ne...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901551/ https://www.ncbi.nlm.nih.gov/pubmed/31819064 http://dx.doi.org/10.1038/s41597-019-0324-y |
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author | Shubin, Andrey V. Kollar, Branislav Dillon, Simon T. Pomahac, Bohdan Libermann, Towia A. Riella, Leonardo V. |
author_facet | Shubin, Andrey V. Kollar, Branislav Dillon, Simon T. Pomahac, Bohdan Libermann, Towia A. Riella, Leonardo V. |
author_sort | Shubin, Andrey V. |
collection | PubMed |
description | Face transplantation is a promising solution for patients with devastating facial injuries who lack other satisfactory treatment options. At the same time, this type of transplantation is accompanied with high risks of acute transplant rejection. The limitations of traditional skin biopsy and the need to frequently monitor the condition of face transplant call for less invasive biomarkers to better diagnose and treat acute rejection. Discovery of peripheral serum proteins accurately reflecting the transplant status would represent a reasonable solution to meet this demand. However, to date, there is no clinical data available to address the feasibility of this approach. In this study, we used the next generation aptamer-based SOMAscan proteomics platform to profile 1305 proteins of peripheral blood serum in twenty-four samples taken from 6 patients during no-rejection, nonsevere rejection, and severe rejection episodes. Also, we provide a detailed description of biosample processing and all steps to generate and analyze the SOMAscan dataset with hope it will assist in performing biomarker discovery in other transplantation centers using this platform. |
format | Online Article Text |
id | pubmed-6901551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69015512019-12-13 Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation Shubin, Andrey V. Kollar, Branislav Dillon, Simon T. Pomahac, Bohdan Libermann, Towia A. Riella, Leonardo V. Sci Data Data Descriptor Face transplantation is a promising solution for patients with devastating facial injuries who lack other satisfactory treatment options. At the same time, this type of transplantation is accompanied with high risks of acute transplant rejection. The limitations of traditional skin biopsy and the need to frequently monitor the condition of face transplant call for less invasive biomarkers to better diagnose and treat acute rejection. Discovery of peripheral serum proteins accurately reflecting the transplant status would represent a reasonable solution to meet this demand. However, to date, there is no clinical data available to address the feasibility of this approach. In this study, we used the next generation aptamer-based SOMAscan proteomics platform to profile 1305 proteins of peripheral blood serum in twenty-four samples taken from 6 patients during no-rejection, nonsevere rejection, and severe rejection episodes. Also, we provide a detailed description of biosample processing and all steps to generate and analyze the SOMAscan dataset with hope it will assist in performing biomarker discovery in other transplantation centers using this platform. Nature Publishing Group UK 2019-12-09 /pmc/articles/PMC6901551/ /pubmed/31819064 http://dx.doi.org/10.1038/s41597-019-0324-y Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Shubin, Andrey V. Kollar, Branislav Dillon, Simon T. Pomahac, Bohdan Libermann, Towia A. Riella, Leonardo V. Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
title | Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
title_full | Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
title_fullStr | Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
title_full_unstemmed | Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
title_short | Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
title_sort | blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901551/ https://www.ncbi.nlm.nih.gov/pubmed/31819064 http://dx.doi.org/10.1038/s41597-019-0324-y |
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