Stephanie K. W. Lam

Stephanie K. W. Lam

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Stephanie K. W. Lam

Department of Obstetrics & Gynaecology, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
Open access
PDF file
SCStephen Chim
Stephen Chim
KWKaren Wong
Karen Wong
CCClaire Yik-Lok Chung
Claire Yik-Lok Chung
SLStephanie K. W. Lam
Stephanie K. W. Lam
JKJamie Kwok
Jamie Kwok
TLTak Yeung Leung
Tak Yeung Leung
RNA transcripts circulating in peripheral blood represent an important source of non-invasive biomarkers. To accurately quantify the levels of circulating transcripts, one needs to normalize the data with internal control reference genes, which are detected at relatively constant levels across blood samples. A few reference gene candidates have to be selected from transcriptome data before the validation of their stable expression by reverse-transcription quantitative polymerase chain reaction. However, there is a lack of transcriptome, let alone whole-transcriptome, data from maternal blood. To overcome this shortfall, we performed RNA-sequencing on blood samples from women presenting with preterm labor. The coefficient of variation (CV) of expression levels was calculated. Of 11,215 exons detected in the maternal blood whole-transcriptome, a panel of 395 genes, including PPP1R15B, EXOC8, ACTB, and TPT1, were identified to comprise exons with considerably less variable expression level (CV, 7.75–17.7%) than any GAPDH exon (minimum CV, 27.3%). Upon validation, the selected genes from this panel remained more stably expressed than GAPDH in maternal blood. This panel is over-represented with genes involved with the actin cytoskeleton, macromolecular complex, and integrin signaling. This groundwork provides a starting point for systematically selecting reference gene candidates for normalizing the levels of circulating RNA transcripts in maternal blood.

19 July 2017 in bioRxiv
Verified
Preprint
Open access
PDF file
SCStephen Chim
Stephen Chim
KWKaren Wong
Karen Wong
CCClaire Yik-Lok Chung
Claire Yik-Lok Chung
SLStephanie K. W. Lam
Stephanie K. W. Lam
JKJamie Kwok
Jamie Kwok
TLTak Yeung Leung
Tak Yeung Leung
RNA transcripts circulating in peripheral blood represent an important source of non-invasive biomarkers. To accurately quantify the levels of a circulating transcript, one needs to normalize the data with internal control reference genes, which are detected at relatively constant levels across different blood samples. A few stably-expressed reference gene candidates have to be selected from transcriptome data before validation of their stable expression by reverse-transcription quantitative polymerase chain reaction. However, there is a lack of transcriptome, let alone whole-transcriptome, data from maternal blood. To overcome this shortfall, we performed RNA-seq on blood samples from women presented with preterm labor. Of 11215 exons detected in the maternal blood whole-transcriptome, we systematically identified a panel of 395 genes comprising exons that were detected at a coefficient of variation ( CV ) ranging from 7.75%-17.7%. Their levels were considerably less variable than any GAPDH exon (minimum CV , 27.3%). Upon validation, selected genes from this panel remained as more stably expressed than GAPDH in maternal blood. This panel is over-represented with genes involved with actin cytoskeleton, macromolecular complex and the integrin signaling pathway. This groundwork provides a starting point for systematically selecting reference gene candidates for normalizing the levels of circulating RNA transcripts in maternal blood.