Publications by authors named "Claire Y L Chung"

Background: The underlying pathomechanism in placenta-related selective fetal growth restriction in monochorionic diamniotic twin pregnancy is not known.

Objective: This study aimed to investigate any differences in placental transcriptomic profile between the selectively growth-restricted twins and the normally grown cotwins in monochorionic diamniotic twin pregnancies.

Study Design: This was a prospective study of monochorionic diamniotic twin pregnancies complicated by selective fetal growth restriction.

View Article and Find Full Text PDF

We report reference-quality genome assemblies and annotations for two accessions of soybean (Glycine max) and for one accession of Glycine soja, the closest wild relative of G. max. The G.

View Article and Find Full Text PDF
Article Synopsis
  • Large structural variants (SVs) in the human genome are typically hard to detect with standard sequencing methods, but long-range genome analysis techniques like optical mapping can effectively identify SVs greater than 2 kb in one go.
  • In a study involving 154 individuals from the 1000 Genomes Project, researchers found that large SV patterns closely match the patterns of single nucleotide variations across 86% of the genome, while about 2% show significant structural complexity.
  • The study also revealed previously uncharacterized regions of the genome, including segmental duplications and areas near chromosomes' ends, identifying roughly 60 Mb of unique genomic content missing from the current reference genome, emphasizing the need for diverse population haplotypes to accurately
View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF