Related Experiment Video
Updated: Jul 14, 2026

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
Published on: June 30, 2023
Quantitative temporal-spatial distribution of severe acute respiratory syndrome-associated coronavirus (SARS-CoV) in
Julian W Tang1, Ka-Fai To, Anthony W I Lo
1Department of Microbiology, School of Public Health, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong SAR, China.
Abstract:
Few post-mortem studies have been performed on patients who have died from severe acute respiratory syndrome (SARS). No studies have examined how the SARS-associated coronavirus (SARS-CoV) loads in different organs with respect to time, post-mortem. The aim of this study was to determine the quantitative temporal-spatial distribution of SARS-CoV in the post-mortem tissue samples of seven patients. Quantitation of a house-keeping gene, glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was undertaken to standardize the amount of tissue tested. SARS-CoV viral load and SARS-CoV/GAPDH RNA ratio for each organ type were related to four time durations: onset of illness to death, death to post-mortem tissue sampling, and total durations of treatment with ribavirin and hydrocortisone. The SARS-CoV/GAPDH RNA ratio remained relatively stable in most organ tissue types for all these time durations. The ratio reached the highest value of equal to or greater than one for lung and small bowel, whereas those for heart, liver, spleen, and kidney were always less than one. It is concluded that SARS-CoV viral loads in these organs remain relatively stable, post-mortem. This quantitative assessment further supports SARS-CoV has a specific tropism for the human respiratory and gastrointestinal tracts, which may be related to the density of SARS-CoV receptors.
More Related Videos
08:41Live Imaging and Quantification of Viral Infection in K18 hACE2 Transgenic Mice Using Reporter-Expressing Recombinant SARS-CoV-2
Published on: November 5, 2021
08:05Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
Published on: December 19, 2020