Author: Feria Hikmet; Loren Méar; Mathias Uhlén; Cecilia Lindskog
Title: The protein expression profile of ACE2 in human tissues Document date: 2020_4_3
ID: 4fz6iqwy_23
Snippet: ACE2 RNA expression data from Northern blot and QRT-PCR were translated into expression levels for Figure 1 by interpretation of figures and description of the results from the original publications 3, 4 . RNA expression data from BioGPS were retrieved from http://biogps.org 5 , while the RNA expression data from HPA 6 , GTEx 7 , FANTOM5 8 as well as the normalized RNA expression dataset were retrieved from the HPA database (http://www.proteinatl.....
Document: ACE2 RNA expression data from Northern blot and QRT-PCR were translated into expression levels for Figure 1 by interpretation of figures and description of the results from the original publications 3, 4 . RNA expression data from BioGPS were retrieved from http://biogps.org 5 , while the RNA expression data from HPA 6 , GTEx 7 , FANTOM5 8 as well as the normalized RNA expression dataset were retrieved from the HPA database (http://www.proteinatlas.org). The RNA expression levels from BioGPS, HPA, GTEx, and FANTOM5 were dichotomized into the groups used in Figure 1 based on the following cut-offs: High expression = 51-100% of the maximum value, Medium = 11-50% of the maximum value, Low = 3-10% of the maximum value, or Not detected (no circles are shown) = 0-2% of the maximum value. Protein expression data based on mass spectrometry (MS) was translated into levels using the summary provided for ACE2 on the Human Proteome Map database (http://www.humanproteomemap.org). Protein levels based on immunohistochemistry correspond to staining intensity based on manual annotation. Immunohistochemistry data from Hamming et al 11 was manually re-evaluated by interpretation of figures and description of the results from the original publication, while the immunohistochemistry data from HPA corresponds to images on the HPA database http://www.proteinatlas.org, generated as described below. The lung scRNA-seq data (gene raw counts) were downloaded from the Gene ExpressionOmnibus (GEO) (https://www.ncbi.nlm.nih.gov/geo/) database under the series numbers: GSE130148 18 , GSE134355 16 (samples: GSM4008628, GSM4008629, GSM4008630, GSM4008631, GSM4008632 and GSM4008633) and GSE122960 17 (samples: GSM3489182, GSM3489185, GSM3489187, GSM3489189, GSM3489191, GSM3489193, GSM3489195 and GSM3489197).
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