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Dr. Lin, Wen-chang

Research Fellow
  • 02-27899148 (Lab) (Room No: N601)
  • 02-26523967 (Office)
  • 02-27827654 (Fax)

  • Bioinformatics and databases
  • Tumor Biology and cancer biomarkers
  • miRNA and protein-coding gene discovery

Education and Positions:
  • Ph.D. Case Western Reserve University


Highlight Detail

Top-ranked expressed gene transcripts of human protein-coding genes investigated with GTEx dataset

Dr. Lin, Wen-chang
Scientific Reports, Oct 01, 2020


With considerable accumulation of RNA-Seq transcriptome data, we have extended our understanding about protein-coding gene transcript compositions. However, alternatively compounded patterns of human protein-coding gene transcripts would complicate gene expression data processing and interpretation. It is essential to exhaustively interrogate complex mRNA isoforms of protein-coding genes with an unified data resource. In order to investigate representative mRNA transcript isoforms to be utilized as transcriptome analysis references, we utilized GTEx data to establish a top-ranked transcript isoform expression data resource for human protein-coding genes. Distinctive tissue specific expression profiles and modulations could be observed for individual top-ranked transcripts of protein-coding genes. Protein-coding transcripts or genes do occupy much higher expression fraction in transcriptome data. In addition, top-ranked transcripts are the dominantly expressed ones in various normal tissues. Intriguingly, some of the top-ranked transcripts are noncoding splicing isoforms, which imply diverse gene regulation mechanisms. Comprehensive investigation on the tissue expression patterns of top-ranked transcript isoforms is crucial. Thus, we established a web tool to examine top-ranked transcript isoforms in various human normal tissue types, which provides concise transcript information and easy-to-use graphical user interfaces. Investigation of top-ranked transcript isoforms would contribute understanding on the functional significance of distinctive alternatively spliced transcript isoforms.