Blood proteome profiling using aptamer-based technology for rejection biomarker discovery in transplantation
Year: 2019
Type: dataset
Abstract: In this study, blood proteome characterization in face transplantation using longitudinal serum samples from six face transplant patients was carried out with SOMAscan platform. Overall, 24 serum samples from 13 no-rejection, 5 nonsevere rejection and 6 severe rejection episodes were analyzed. Files attached: HMS-16-007.20160218.adat- raw SomaScan dataset presented in adat format. HMS-16-007_SQS_20160218.pdf- technical validation report on the dataset. HMS-16-007.HybNorm.20160218.adat- SomaScan dataset after hybridization control normalization presented in adat format. HMS-16-007.HybNorm.MedNorm.20160218.adat- SomaScan dataset after hybridization control normalization and median signal normalization presented inadat format. HMS-16-007.HybNorm.MedNorm.Cal.20160218.adat- SomaScan dataset after hybridization control normalization, median signal normalization, and calibration presented in adat format. HMS-16-007.HybNorm.MedNorm.Cal.20160218.xls - SomaScan dataset after hybridization control normalization, median signal normalization, and calibration presented in Microsoft Excel Spreadsheet format. Patients_metadata.txt – metadata file containing patients’ demographic and clinical information presented in tab-delimited text format. Metadata is linked to records in the SomaScan dataset via ‘SampleType’ column. SciData_R_script.R– this script is given as an example of a downstream statistical analysis of the HMS-16-007.HybNorm.MedNorm.Cal.20160218.adat dataset. SciData_R_script_SessionInfo - Session information for SciData_R_script.R script.
Source: Figshare
Language: English
Subfield: Transplantation
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4394357080