Tag Archives: co-expression

Measures of co-expression for improved function prediction of long non-coding RNAs

lncrna

Almost 16,000 human long non-coding RNA (lncRNA) genes have been identified in the GENCODE project. However, the function of most of them remains to be discovered. The function of lncRNAs and other novel genes can be predicted by identifying significantly enriched annotation terms in already annotated genes that are co-expressed with the lncRNAs. However, such approaches are sensitive to the ...

Read More »

Researchers identify cancer-related long noncoding RNAs in quintuple-negative lung adenocarcinoma

lncRNA

Lung adenocarcinoma (LUAD) is a common subtype of non-small cell lung cancer prevalent in Asia. There is a dearth of understanding regarding the transcriptome landscape of LUAD without primary known driver mutations. In this study, researchers at MSD China R&D used LUAD samples without well-known driver mutations occurring in EGFR, KRAS, ALK, ROS1 or RET (quintuple-negative) for transcriptome study with ...

Read More »

Tissue-specific Co-expression of Long Non-coding and Coding RNAs Associated with Breast Cancer

lncrna

Inference of the biological roles of lncRNAs in breast cancer development remains a challenge. Here, Indiana University researchers analyzed RNA-seq data in tumor and normal breast tissue samples from 18 breast cancer patients and 18 healthy controls and constructed a functional lncRNA-mRNA co-expression network. They revealed two distinctive co-expression patterns associated with breast cancer, reflecting different underlying regulatory mechanisms: (1) ...

Read More »

Tissue-specific Co-expression of Long Non-coding and Coding RNAs Associated with Breast Cancer

Inference of the biological roles of lncRNAs in breast cancer development remains a challenge. Here, Indiana University researchers analyzed RNA-seq data in tumor and normal breast tissue samples from 18 breast cancer patients and 18 healthy controls and constructed a functional lncRNA-mRNA co-expression network. They revealed two distinctive co-expression patterns associated with breast cancer, reflecting different underlying regulatory mechanisms: (1) ...

Read More »