Biomedical subjects

Shih Sheng Jiang

Publications and source records attributed to Shih Sheng Jiang.

4 recordsLinked to original sources

PubMed2006

A Bayes regression approach to array-CGH data.

This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the observation that the noise associated with the ratio of the fluorescence intensities is bigger when the intensities get smaller. We show that this Bayes regression approach is particularly suitable for the analysis of cDNA microarray-CGH data, which are generally noisier than those using genomic clones. A simulation study and a real data analysis are included to illustrate this approach.

Bayes Theorem↗

PubMed2006

Temporal transcription program of recombinant Autographa californica multiple nucleopolyhedrosis virus.

Baculoviruses, a family of large, rod-shaped viruses that mainly infect lepidopteran insects, have been widely used to transduce various cells for exogenous gene expression. Nonetheless, how a virus controls its transcription program in cells is poorly understood. With a custom-made baculovirus DNA microarray, we investigated the recombinant Autographa californica multiple nucleopolyhedrosis virus (AcMNPV) gene expression program in lepidopteran Sf21 cells over the time course of infection. Our analysis of transcription kinetics in the cells uncovered sequential viral gene expression patterns possibly regulated by different mechanisms during different phases of infection. To gain further insight into the regulatory network, we investigated the transcription program of a mutant virus deficient in an early transactivator (pe38) and uncovered several pe38-dependent and pe38-independent genes. This study of baculovirus dynamic transcription programs in different virus genetic backgrounds provides new molecular insights into how gene expression in viruses is regulated.

Animals↗

PubMed2004

Coupling multiplex RT-PCR to a gene chip assay for sensitive and semiquantitative detection of severe acute respiratory syndrome-coronavirus.

An early and accurate diagnostic assay for severe acute respiratory syndrome (SARS) is crucial for infection control. However, most of the diagnostic methods available today, such as real-time reverse transcriptase-polymerase chain reaction (RT-PCR), require a second detection method for confirmation because they detect a single sequence region of the SARS-coronavirus (SARS-CoV). For sensitive and accurate early diagnosis, we report a novel assay system combining multiplex RT-PCR and a diagnostic gene chip to detect multiple virus-specific genomic sequences of SARS-CoV. With 53 clinical specimens, we successfully demonstrate that this technique offers not only a high-accuracy diagnosis for early SARS infection but also a semiquantitative assay.

DNA Primers↗

PubMed2003

Sensitive and quantitative detection of severe acute respiratory syndrome coronavirus infection by real-time nested polymerase chain reaction.

A quantitative, real-time, nested polymerase chain reaction (PCR) method, combining the high sensitivity of nested PCR with time-saving real-time instrumentation, was developed for large-scale screening for severe acute coronavirus (SARS) coronavirus. Forty-six clinical specimens were analyzed by this method, and results were compared with those obtained by conventional, single-round, real-time reverse-transcriptase PCR (RT-PCR) performed in parallel. Of the 17 positive results, 2 identified by our method were not detected by single-round, real-time RT-PCR, which suggests that real-time nested PCR has the potential for increased sensitivity, leading to earlier detection of SARS.

DNA, Viral↗