Arraystar LncPath™ Metabolism Pathway Microarray simultaneously profiles the expression of the LncRNAs in the metabolism signaling pathway and their potential coding gene targets, to gain comprehensive insights into the underlying regulatory mechanisms of LncRNAs in the metabolic signaling pathways.
Metabolism is broadly defined as the sum of biochemical processes in living organisms that either produce or consume energy . Altered cellular metabolism is a hallmark of cancers, contributing to cancers from initiation, growth, maintenance to malignant transformation. Identifying these metabolic alterations and underlying regulatory mechanisms in cancers could open a window of opportunity for therapeutic intervention.
The LncPath™ Human Metabolism Pathway LncRNA Microarray simultaneously profiles the expression of 965 LncRNAs and 458 of their protein-coding gene targets related to the metabolic signaling pathway. The LncPath™ Mouse Metabolism Pathway LncRNA Microarray simultaneously profiles the expression of 501 LncRNAs and 766 of their protein-coding gene targets related to the metabolic signaling pathway. The LncRNAs whose genes are located at or near the protein-coding genes critical in the metabolic pathway, and the LncRNAs that have high possibilities of being competing endogenous RNAs (ceRNAs) of the key metabolic pathway genes, are carefully collected from authoritative databases using rigorous selection processes. By focusing on the LncRNAs most relevant to the metabolic pathway, the array can achieve much faster and more precise analysis, due to the highly specific yet smaller amount of data to analyze. More importantly, it can establish the expressional relationships between the LncRNAs and their potential protein-coding targets involved in the metabolic pathway, thereby providing comprehensive insights into the underlying regulatory mechanisms of LncRNAs in the cellular metabolism.
• Comprehensive and reliable collection of metabolic pathway focused LncRNAs.
• Simultaneous analysis of LncRNAs and their protein-coding gene targets in the metabolic pathway.
• Explore and establish expressional relationships and regulatory mechanisms between the LncRNAs and the target pathway genes.
• Faster and more precise pathway analysis.
• Efficient and robust labeling system.
• Innovative probe design.
• Guaranteed performance.
An example showing the detailed information about the LncRNAs and their potential coding gene target
Click the LncRNA accession number listed in databases, you will see the figures showing the detailed information about the LncRNAs and their potential target gene.
Figure 1. The genomic map views of the LncRNA ENST00000527594 and its potential target gene AASDHPPT. From the top to the bottom of the figure 1, the following items are displayed:
Genome view: A chromosome ideogram showing the map position of the LncRNA ENST00000527594 and its potential target gene AASDHPPT (red bar).
Map view ruler: The map coordinates of the human genome assembly hg19 for the map views below.
LncRNA map view: The LncRNAs whose genes located at or near the AASDHPPT gene are presented in the Noncoding panel (shaded green). The LncRNAs are indicated by the transcript IDs, the exons by solid blocks, the introns by thin lines, and the transcription directions by arrows. The exons of LncRNA ENST00000527594 are labeled in red, while the exons of the other LncRNAs are labeled in blue.
Coding gene map view: The coding gene AASDHPPT is presented in the Coding panel (shaded blue). The coding gene is indicated by its canonical transcript ID, the exons by solid blocks, the introns by thin lines, and the transcription direction by arrows.
Figure 2. The relationship between LncRNA ENST00000527594 and its protein coding gene target AASDHPPT. The other neighboring LncRNAs which may regulate AASDHPPT expression are also shown.
Figure 3. The LncRNA TCONS_00007953 may function as a competing endogenous RNA (ceRNA) of the protein coding gene AASDHPPT.
* MuTaMe Score, Mutually Targeted MRE Enrichment Score.
1.DeBerardinis, R. J. and C. B. Thompson (2012) Cell 148 (6): 1132-44.
2.Tay, Y., et al. (2011) Cell 147 (2): 344-57.