An Interactive Annotated World Bibliography of Printed and Digital Works in the History of Medicine and the Life Sciences from Circa 2000 BCE to 2022 by Fielding H. Garrison (1870-1935), Leslie T. Morton (1907-2004), and Jeremy M. Norman (1945- ) Traditionally Known as “Garrison-Morton”

16018 entries, 14076 authors and 1941 subjects. Updated: July 14, 2024

DeRISI, Joseph L.

3 entries
  • 12439

Microarray-based detection and genotyping of viral pathogens.

Proc. Nat. Acad. Sci. (USA), 99, 15687-15692, 2002.

First publication of DeRisi's microarray assay for the detection and genotyping of viral pathogens. "To address the limitations of existing viral detection methodologies, we have developed a genomic approach to virus identification. Using available sequence data from more than 140 sequenced viral genomes, we have designed a long oligonucleotide (70-mer) DNA microarray with the potential to simultaneously detect hundreds of viruses, including essentially all respiratory tract viruses" (from the Abstract). 

(Order of authorship in the original publication: Wang, Coscoy, Zylberberg....DeRisi.) 

(Thanks to Juan Weiss for this reference and its interpretation.)

Available from pnas.org at this link.



Subjects: COMPUTING/MATHEMATICS in Medicine & Biology › Computing / Mathematics in Medicine & Biology, VIROLOGY
  • 10862

Characterization of a novel coronavirus associated with severe acute respiratory syndrome.

Science, 300, 1394-1399, 2003.

Dated May 30, 2003. Rota and team at the CDC determined the sequence of the complete genome of SARS-CoV, and characterized the viral genome. Order of authorship in the published paper was Rota, Oberste, Monroe....DeRisi...

(Thanks to Juan Weiss for this entry and its interpretation.)

 



Subjects: EPIDEMIOLOGY, INFECTIOUS DISEASE › SARS (Severe Acute Respiratory Syndrome), VIROLOGY › VIRUSES (by Family) › Coronaviruses (Coronaviridae) › SARS
  • 12440

Using a pan-viral microarray assay (Virochip) to screen clinical samples for viral pathogens.

J. Vis. Exp., (50): 2536, 2011.

Direct link to the Journal of Visualized Experiments, JOVE.com: https://www.jove.com/video/2536/using-pan-viral-microarray-assay-virochip-to-screen-clinical-samples

"Abstract
"The diagnosis of viral causes of many infectious diseases is difficult due to the inherent sequence diversity of viruses as well as the ongoing emergence of novel viral pathogens, such as SARS coronavirus and 2009 pandemic H1N1 influenza virus, that are not detectable by traditional methods. To address these challenges, we have previously developed and validated a pan-viral microarray platform called the Virochip with the capacity to detect all known viruses as well as novel variants on the basis of conserved sequence homology1. Using the Virochip, we have identified the full spectrum of viruses associated with respiratory infections, including cases of unexplained critical illness in hospitalized patients, with a sensitivity equivalent to or superior to conventional clinical testing2-5. The Virochip has also been used to identify novel viruses, including the SARS coronavirus6,7, a novel rhinovirus clade5, XMRV (a retrovirus linked to prostate cancer)8, avian bornavirus (the cause of a wasting disease in parrots)9, and a novel cardiovirus in children with respiratory and diarrheal illness10. The current version of the Virochip has been ported to an Agilent microarray platform and consists of ~36,000 probes derived from over ~1,500 viruses in GenBank as of December of 2009. Here we demonstrate the steps involved in processing a Virochip assay from start to finish (~24 hour turnaround time), including sample nucleic acid extraction, PCR amplification using random primers, fluorescent dye incorporation, and microarray hybridization, scanning, and analysis."

(Order of authorship in the original publication: Chen, Miller, DeRisi, Chiu.) Digital text and embedded video from PubMedCentral at this link.
(Thanks to Juan Weiss for this reference and its interpretation.)


Subjects: COMPUTING/MATHEMATICS in Medicine & Biology › Computing / Mathematics in Medicine & Biology, COMPUTING/MATHEMATICS in Medicine & Biology › Visualization, INFECTIOUS DISEASE, VIROLOGY