Benefits
• Best coverage – Systematically covers the enzymatic and protein components in the core metabolic pathways and crucial metabolite transport systems
• Detailed annotation – Each metabolic gene is annotated with information of the functional protein or protein subunit by integrating genome/transcriptome data with protein UniProt debases.
• Representative transcript chosen – Detects mRNA transcript that encodes the canonical protein/subunit sequence in Uniprot debases
• Rigorous – All assays are elaborately optimized and rigorously validated 
• Convenient – Ready-to-use, accurate profiling, rapid results.

We recommend using our rtStar™ First-Strand cDNA Synthesis Kit  (AS-FS-001) along with Arraystar SYBR® Green Real-time qPCR Master Mix when running your NuRNA™ Central Metabolism PCR Array for optimal performance.

Metabolism is the foundation of living cells and impacts all cellular functions. Metabolic pathway architecture varies profoundly with cellular conditions, such as cell growth, proliferation, differentiation and death [1, 2], which is mainly shaped up by the cell type functions and environment. Diverse mechanisms including signaling pathways regulate metabolism, and reciprocally, altered metabolism can act as signals and retool the cells independently [3]. Recent discoveries have shed new light on the metabolic control of multitude of cellular processes such as epigenetics [4, 5], autophagy [6, 7], apoptosis and regulated necrosis [8]. Abnormal metabolism is the underlying cause of some of the most prevalent diseases such as obesity, diabetes and cancer (Figure 1). At cellular level, proliferating or cancer cells characteristically rewire signaling and reprogram metabolic pathways to fulfill continuous anabolic high demands (Figure 2). Systematic understanding of metabolic changes in these diseases will greatly advance the science behind, identify metabolic biomarkers and devise new therapeutic targets.

Figure 1. Metabolic impacts of cellular processes and association with diseases.

Arraystar NuRNA™ Human Central Metabolism PCR Array is specifically designed for rapid and convenient expression profiling of 373 transcripts for the enzymes and proteins in the core metabolic pathways and crucial metabolites transport systems. It is a systematic and powerful tool for hypothesis-driven and exploratory analysis in metabolism research. The array covers the core metabolic pathways and metabolite transport systems include glucose transporters, glycolysis, TCA cycle, glycerol/fatty acid/cholesterol synthesis, lactate production and transporters, gluconeogenesis, glycogen metabolism, hexosamine metabolism, pentose phosphate pathway, serine/glycine/one-carbon metabolism, glutamine transporters and glutaminolysis, redox balance/GSH synthesis, fatty acid oxidation, acetate metabolism, and nucleotide metabolism. Each assay is rigorously validated across numerous tissues and cell lines. To ensure the upmost data quality, the array includes Spike-in control, Positive PCR Control, Genomic DNA Control and normalization references. 

Figure 2. Schematic review of cancer metabolism.

References

1. Agathocleous, M. and Harris, W. A. (2013) Metabolism in physiological cell proliferation and differentiation. Trends Cell Biol, 23(10):484-92 [PMID: 23756093]
2. Green, D. R., et al. (2014) Cell biology. Metabolic control of cell death. Science, 345(6203):1250256 [PMID: 25237106]
3. Metallo, C. M. and Vander Heiden, M. G. (2013) Understanding metabolic regulation and its influence on cell physiology. Mol Cell, 49(3):388-98 [PMID: 23395269]
4. Lu, C. and Thompson, C. B. (2012) Metabolic regulation of epigenetics. Cell Metab, 16(1):9-17 [PMID: 22768835]
5. Kinnaird, A., et al. (2016) Metabolic control of epigenetics in cancer. Nat Rev Cancer, 16(11):694-707 [PMID: 27634449]
6. Galluzzi, L., et al. (2014) Metabolic control of autophagy. Cell, 159(6):1263-76 [PMID: 25480292]
7. Kaur, J. and Debnath, J. (2015) Autophagy at the crossroads of catabolism and anabolism. Nat Rev Mol Cell Biol, 16(8):461-72 [PMID: 26177004]
8. Vanden Berghe, T., et al. (2014) Regulated necrosis: the expanding network of non-apoptotic cell death pathways. Nat Rev Mol Cell Biol, 15(2):135-47 [PMID: 24452471]

Compatible qPCR Instruments Equipped with a 384-well Format Block:
ABI ViiA™ 7
ABI 7500 & ABI 7500 FAST
ABI 7900HT
ABI QuantStudio™ 5 Real-Time PCR system
ABI QuantStudio™ 6 Flex Real-Time PCR system
ABI QuantStudio™ 7 Flex Real-Time PCR system
ABI QuantStudio™ 12K Flex Real-Time PCR System
Bio-Rad CFX384
Bio-Rad iCycler & iQ Real-Time PCR Systems
Eppendorf Realplex
Stratagene Mx3000
Roche Light Cycler 480

Fatty Acid Oxidation Supports Lymph Node Metastasis of Cervical Cancer via Acetyl-CoA-Mediated Stemness. Yuan L, et al. Advanced Science, 2024

PFKFB2 is a favorable prognostic biomarker for colorectal cancer by suppressing metastasis and tumor glycolysis. Liu F,et al. Journal of Cancer Research and Clinical Oncology, 2023

Expression of activated VEGFR2 by R1051Q mutation alters the energy metabolism of Sk-Mel-31 melanoma cells by increasing glutamine dependence. Grillo E, et al. Cancer Letters, 2021

FoxM1-dependent and fatty acid oxidation-mediated ROS modulation is a cell-intrinsic drug resistance mechanism in cancer stem-like cells. Choi H J, et al. Redox Biology, 2020

Inhibition of Fatty Acid Catabolism Augments the Efficacy of Oxaliplatin-based Chemotherapy in Gastrointestinal Cancers. Wang Y, et al. Cancer Letters, 2020

Suppression of fumarate hydratase activity increases the efficacy of cisplatin-mediated chemotherapy in gastric cancer. Yu H E, et al.  Cell death & disease, 2019

CPT1A-mediated fatty acid oxidation promotes colorectal cancer cell metastasis by inhibiting anoikis. Ying-nan Wang et. al. Oncogene, 2018

Manual         Manual_NuRNA™  Human Central Metabolism PCR Array_v1.03

Tool              Analysis Tool for NuRNA™ Human Central Metabolism PCR Array_v2.01