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 (encyclopædia 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

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• 康成使用arraystar的芯片为客户提供服务，以下为相关资料:

  产品说明书：manual_nurna™__human_central_metabolism_pcr_array_v1.01

  分析工具： analysis tool for nurna™ human central metabolism pcr array v1.0