Related Experiment Video
Updated: May 9, 2026

Generating the Transcriptional Regulation View of Transcriptomic Features for Prediction Task and Dark Biomarker Detection on Small Datasets
Published on: March 1, 2024
The low-abundance transcriptome reveals novel biomarkers, specific intracellular pathways and targetable genes
Carolina Bizama1, Felipe Benavente, Edgardo Salvatierra
1Applied Cellular and Molecular Biology PhD Program, Agricultural and Forestry Sciences Faculty. Universidad de La Frontera, Temuco, 4811230, Chile; Creative BioScience, Santiago, 8580702, Chile.
Abstract:
Studies on the low-abundance transcriptome are of paramount importance for identifying the intimate mechanisms of tumor progression that can lead to novel therapies. The aim of the present study was to identify novel markers and targetable genes and pathways in advanced human gastric cancer through analyses of the low-abundance transcriptome. The procedure involved an initial subtractive hybridization step, followed by global gene expression analysis using microarrays. We observed profound differences, both at the single gene and gene ontology levels, between the low-abundance transcriptome and the whole transcriptome. Analysis of the low-abundance transcriptome led to the identification and validation by tissue microarrays of novel biomarkers, such as LAMA3 and TTN; moreover, we identified cancer type-specific intracellular pathways and targetable genes, such as IRS2, IL17, IFNγ, VEGF-C, WISP1, FZD5 and CTBP1 that were not detectable by whole transcriptome analyses. We also demonstrated that knocking down the expression of CTBP1 sensitized gastric cancer cells to mainstay chemotherapeutic drugs. We conclude that the analysis of the low-abundance transcriptome provides useful insights into the molecular basis and treatment of cancer.
Related Concept Videos
Pharmacogenomics: Identification of New Drug Targets
lncRNA - Long Non-coding RNAs
Targeted Cancer Therapies
There are several types of targeted therapies against specific...
