Departments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801.
Departments of Crop Sciences (S.I.J., M.S., L.V.) andElectrical and Computer Engineering (Y.T., S.G., B.T.C.), University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
Plant Physiol. 2015 Mar;167(3):639-49. doi: 10.1104/pp.114.253666. Epub 2015 Jan 29.
Transcription factors control important gene networks, altering the expression of a wide variety of genes, including those of agronomic importance, despite often being expressed at low levels. Detecting transcription factor proteins is difficult, because current high-throughput methods may not be sensitive enough. One-dimensional, silicon-substrate photonic crystal (PC) arrays provide an alternative substrate for printing multiplexed protein microarrays that have greater sensitivity through an increased signal-to-noise ratio of the fluorescent signal compared with performing the same assay upon a traditional aminosilanized glass surface. As a model system to test proof of concept of the silicon-substrate PC arrays to directly detect rare proteins in crude plant extracts, we selected representatives of four different transcription factor families (zinc finger GATA, basic helix-loop-helix, BTF3/NAC [for basic transcription factor of the NAC family], and YABBY) that have increasing transcript levels during the stages of seedling cotyledon development. Antibodies to synthetic peptides representing the transcription factors were printed on both glass slides and silicon-substrate PC slides along with antibodies to abundant cotyledon proteins, seed lectin, and Kunitz trypsin inhibitor. The silicon-substrate PC arrays proved more sensitive than those performed on glass slides, detecting rare proteins that were below background on the glass slides. The zinc finger transcription factor was detected on the PC arrays in crude extracts of all stages of the seedling cotyledons, whereas YABBY seemed to be at the lower limit of their sensitivity. Interestingly, the basic helix-loop-helix and NAC proteins showed developmental profiles consistent with their transcript patterns, indicating proof of concept for detecting these low-abundance proteins in crude extracts.
转录因子控制着重要的基因网络,改变了广泛的基因表达,包括那些具有农艺重要性的基因,尽管它们通常表达水平较低。检测转录因子蛋白很困难,因为目前的高通量方法可能不够敏感。一维、硅衬底光子晶体(PC)阵列为打印多重蛋白质微阵列提供了一种替代衬底,与在传统氨基硅化玻璃表面上进行相同的测定相比,通过增加荧光信号的信噪比,该阵列具有更高的灵敏度。作为一个模型系统,我们选择了四个不同的转录因子家族(锌指 GATA、碱性螺旋-环-螺旋、BTF3/NAC[代表 NAC 家族的基本转录因子]和 YABBY)的代表,以测试硅衬底 PC 阵列直接检测粗植物提取物中稀有蛋白质的概念验证,这些转录因子在幼苗子叶发育阶段的转录水平逐渐增加。针对代表转录因子的合成肽的抗体被打印在玻璃载玻片和硅衬底 PC 载玻片上,同时还打印了针对丰富的子叶蛋白、种子凝集素和 Kunitz 胰蛋白酶抑制剂的抗体。硅衬底 PC 阵列比玻璃载玻片更敏感,能够检测到玻璃载玻片背景下的稀有蛋白质。锌指转录因子在幼苗子叶各阶段的粗提取物中都能在 PC 阵列上检测到,而 YABBY 似乎处于其灵敏度的下限。有趣的是,碱性螺旋-环-螺旋和 NAC 蛋白显示出与它们的转录模式一致的发育模式,表明在粗提物中检测这些低丰度蛋白的概念验证。