NuRNA? Human Central Metabolism PCR芯片

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  • 产品特点
  • 数据库
  • 实验流程
  • 说明书
  • 产品信息:

    芯片 规格 描述

    NuRNA? Human Central Metabolism PCR Array

    384-well/plate

    检测373个编码重要代谢酶与代谢物转运蛋白的转录本

           新陈代谢是机体生命活动的基础,影响细胞的各个方面。生长、增殖、分化或凋亡等不同的细胞过程,存在着显著不同的代谢网络[1,4]。细胞内的新陈代谢除了受信号通路等多种机制调控外,也可作为信号分子,或独立调控生物学过程[8]。最近研究表明,新陈代谢参与调控表观遗传[6,7]、自噬[3,5]、凋亡、坏死[9]等多种细胞生命活动。代谢异常是引起肥胖、糖尿病及肿瘤等多种疾病的重要因素(图1)。肿瘤被认为是一种代谢疾病,代谢改变是癌症发生的显著标志之一。癌细胞进行代谢重编程,以满足肿瘤转化、起始、发展、侵袭与迁移等不同阶段以及不同营养环境下的代谢需求[1,8](图2)。系统地分析疾病的代谢改变,对寻找有效的代谢标记物与疾病治疗靶点非常必需。
          Arraystar公司新推出的NuRNA? Human Central Metabolism PCR Array,可同时检测373个编码重要代谢酶与代谢物转运蛋白的转录本,是进行代谢研究必不可少的工具。该芯片检测的代谢通路与代谢物转运系统包括:葡萄糖转运蛋白,糖酵解、TCA循环、脂类合成、乳酸合成及转运、糖异生途径、糖原代谢、氨基己糖代谢、磷酸戊糖旁路、一碳单位代谢、谷氨酰胺转运及代谢、氧化还原平衡与GSH合成、脂肪酸氧化、乙酸代谢、核苷酸代谢等。研究不同生物学过程的代谢特征,寻找生理病理状态下的代谢改变,将有助于深入理解细胞生命活动,并为代谢疾病的治疗提供新的思路。


    图1.新陈代谢与生理病理过程。



    图2.肿瘤代谢示意图


    参考文献 

    1. Agathocleous, M., and Harris, W.A. (2013). Metabolism in physiological cell proliferation and differentiation. Trends in cell biology 23, 484-492, PMID:23756093.
    2. Enns, G. Metabolic disease (Encyclop?dia Britannica, inc.).
    3. Galluzzi, L., et al. (2014). Metabolic control of autophagy. Cell 159, 1263-1276, PMID:25480292.
    4. Green, D.R., et al. (2014). Cell biology. Metabolic control of cell death. Science 345, 1250256, PMID:25237106.
    5. Kaur, J., and Debnath, J. (2015). Autophagy at the crossroads of catabolism and anabolism. Nature reviews Molecular cell biology 16, 461-472, PMID:26177004.
    6. Kinnaird, A., et al. (2016). Metabolic control of epigenetics in cancer. Nature reviews Cancer 16, 694-707, PMID:27634449.
    7. Lu, C., and Thompson, C.B. (2012). Metabolic regulation of epigenetics. Cell metabolism 16, 9-17, PMID:22768835.
    8. Metallo, C.M., and Vander Heiden, M.G. (2013). Understanding metabolic regulation and its influence on cell physiology. Molecular cell 49, 388-398, PMID:23395269.
    9. Vanden Berghe, T., et al. (2014). Regulated necrosis: the expanding network of non-apoptotic cell death pathways. Nature reviews Molecular cell biology 15, 135-147, PMID:24452471.

  • ?覆盖度高—覆盖了关键代谢途径与重要代谢物转运系统中的酶和蛋白因子
    ?注释全面—整合了基因/转录本水平信息与蛋白水平信息,为每个代谢基因提供详细注释
    ?转录本水平检测—检测编码Uniprot经典蛋白的转录本
    ?严谨性强—所有引物都通过了多样本严格测试
    ?快速简易—即用型384孔板规格,只需将cDNA与qPCR Master Mix混合试剂加入PCR板中,4小时内得到实验结果。cDNA无需预先扩增。

  • 葡萄糖转运(13):

    SLC2A1, SLC2A2, SLC2A3, SLC2A4, SLC2A5, SLC2A6, SLC2A7, SLC2A8, SLC2A9, SLC2A10, SLC2A11, SLC2A12, SLC2A14

    糖酵解(36):

    ADPGK, ALDOA, ALDOB, ALDOC, BPGM, ENO1, ENO2, ENO3, GAPDH, GAPDHS, GCK, GPI, HK1, HK2, HK3, HKDC1, PFKFB1, PFKFB2, PFKFB3-isoform 1, PFKFB3-isoform 2, PFKFB3-isoform 3, PFKFB3-isoform 4, PFKFB4, PFKL, PFKM, PFKP, PGAM1, PGAM2, PGAM4, PGK1, PGK2, PKL, PKM1, PKM2, PKR, TPI1

    乳酸合成及转运(18):

    LDHA, LDHB, LDHC, LDHAL6A, LDHAL6B, UEVLD, SLC16A1, SLC16A2, SLC16A3, SLC16A4, SLC16A5, SLC16A6, SLC16A7, SLC16A8, SLC16A9, SLC16A10, SLC16A11, SLC16A12

    糖异生(13):

    BCAT1, BCAT2, FBP1, FBP2, G6PC, G6PC2, G6PC3, GPT, GPT2, LDHD, PC, PCK1, PCK2

    糖原代谢(6):

    GBE1, GYS1, GYS2, PGM1, PGM2, UGP2

    氨基己糖代谢(6):

    GFPT1, GFPT2, GNPNAT1, PGM3, UAP1, UAP1L1

    PPP途径(15):

    G6PD, H6PD, PGD, PGLS, PRPS1, PRPS1L1, PRPS2, RBKS, RPE, RPEL1, RPIA, TALDO1, TKT, TKTL1, TKTL2

    脂类合成(31):

    ACACA, ACACB, ACAT1, ACAT2, ACLY, ACSBG1, ACSBG2, ACSL1, ACSL3, ACSL4, ACSL5, ACSL6, ACSM1, ACSM2A, ACSM2B, ACSM3, ACSM4, ACSM5, FADS1, FADS2, FASN, GPD1, GPD1L, HMGCR, HMGCS1, HMGCS2, MLYCD, SCD, SCD5, SLC25A1, SLC27A2

    一碳单位代谢(28):

    AHCY, AHCYL1, AHCYL2, AMT, BHMT, DHFR, DHFRL1, DLD, DNMT1, DNMT3A, DNMT3B, DNMT3L, GCSH, GLDC, MAT1A, MAT2A, MAT2B, MTHFD1, MTHFD1L, MTHFD2, MTHFD2L, MTHFR, MTR, PHGDH, PSAT1, PSPH, SHMT1, SHMT2

    TCA循环(42):

    ACO1, ACO2, D2HGDH, DHTKD1, DLAT, DLD, DLST, FH, IDH1, IDH2, IDH3A, IDH3B, IDH3G, L2HGDH, MDH1, MDH1B, MDH2, OGDH, OGDHL, PDHA1, PDHA2, PDHB, PDHX, PDK1, PDK2, PDK3, PDK4, PDP1, PDP2, PDPR, SDHA, SDHAF1, SDHAF2, SDHAF3, SDHAF4, SDHB, SDHC, SDHD, SUCLA2, SUCLG1, SUCLG2, UEVLD

    谷氨酰胺转运及降解(18):

    GLS2, GLS-isoform 1, GLS-isoform 2, GLS-isoform 3, GLUD1, GLUD2, GOT1, GOT2, SLC1A1, SLC1A2, SLC1A3, SLC1A4, SLC1A5, SLC1A6, SLC38A1, SLC38A3, SLC38A5, SLC38A7

    氧化还原平衡(16):

    CBS, CTH, G6PD, GCLC, GCLM, GSR, GSS, IDH1, IDH2, ME1, ME2, ME3, MTHFD1, NNT, PGD, SLC7A11

    GSH合成(7):

    CBS, CTH, GCLC, GCLM, GSR, GSS, SLC7A11

    脂肪酸氧化(51):

    AADAC, ABHD12, ABHD6, ACAA1, ACAA2, ACAD10, ACAD11, ACAD8, ACAD9, ACADL, ACADM, ACADS, ACADSB, ACADVL, ALDH1B1, ALDH2, ALDH3A2, ALDH7A1, ALDH9A1, CEL, CPT1A, CPT1B, CPT1C, CPT2, ECH1, ECHS1, ECI1, ECI2, EHHADH, ETFA, ETFB, HADH, HADHA, HADHB, HSD17B10, HSD17B4, LIPC, LIPE, LIPF, LIPG, MGLL, PAFAH1B1, PAFAH1B2, PAFAH1B3, PNLIP, PNLIPRP1, PNLIPRP2, PNLIPRP3, PNPLA2, PNPLA3, SCP2

    乙酸代谢(4):

    ACOT12, ACSS1, ACSS2, ACSS3

    核苷酸代谢(83):

    ADA, ADCY1, ADCY10, ADCY2, ADCY3, ADCY4, ADCY5, ADCY6, ADCY7, ADCY9, ADSL, ADSS, ADSSL1, AK1, AK2, AK3, AK4, AK5, AK6, AK7, AK8, AK9, AMPD1, AMPD2, AMPD3, APRT, ATIC, CAD, CANT1, CDA, CECR1, CMPK1, CMPK2, CTPS1, DCK, DCTD, DHODH, DTYMK, DUT, GART, GDA, GMPS, GUCA1A, GUCA1B, GUCA1C, GUCA2A, GUCA2B, GUCD1, GUCY1A2, GUCY1A3, GUCY1B3, GUCY2C, GUCY2D, GUCY2F, GUK1, HPRT1, IMPDH1, IMPDH2, NME1, NME2, NME3, NME4, NME6, NME7, NT5C2, PAICS, PDE10A, PDE4D, PFAS, PNP, PPAT, RRM1, RRM2, RRM2B, TK1, TK2, TYMP, TYMS, UCKL1, UMPS, UPP1, UPP2, XDH

  • Aksomics使用Arraystar的芯片为客户提供服务,以下为相关资料:

    产品说明书:adobe_pdf_smallManual_NuRNA?__Human_Central_Metabolism_PCR_Array_v1.01

    分析工具: excelAnalysis Tool for NuRNA? Human Central Metabolism PCR Array v1.0